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ORCIDCoRR, November 2021
- Daniel Freund, Chamsi Hssaine:
Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Platforms. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
A New Algorithm based on Extent Bit-array for Computing Formal Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Granule Description based on Compound Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Concept and Attribute Reduction Based on Rectangle Theory of Formal Concept. - Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. - Jaya Krishna Mandivarapu, Eric Hunch, Glenn Fung:
Domain Agnostic Few-Shot Learning For Document Intelligence. - Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen:
Reinforced Workload Distribution Fairness. - Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang:
Federated Semi-Supervised Learning with Class Distribution Mismatch. - Yifan Chen, Qi Zeng, Heng Ji, Yun Yang:
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method. - George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky, Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann:
On-device Real-time Hand Gesture Recognition. - Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. - Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis:
On the Power of Edge Independent Graph Models. - Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru:
Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. - T. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt, Cláudio P. Santiago, Daniel M. Faissol, Brenden K. Petersen:
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding. - Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. - Hairo U. Miranda Belmonte, Victor Muñiz-Sánchez, Francisco Corona:
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index. - Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion. - Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. - Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu:
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. - Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath:
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. - Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. - James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. - Zheng Chen, Shi Bai, Lantao Liu:
Efficient Map Prediction via Low-Rank Matrix Completion. - Emanuel Tewolde:
Game Transformations that preserve Nash Equilibrium sets and/or Best Response sets. - Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal:
Deep Deterministic Uncertainty for Semantic Segmentation. - Mahan Fakouri Fard, Mostafa Sahraei-Ardakani, Ge Ou, Mingxi Liu:
Targeted Hardening of Electric Distribution System Components for Enhanced Resilience against Earthquakes. - Ataberk Olgun, Juan Gómez-Luna, Konstantinos Kanellopoulos, Behzad Salami, Hasan Hassan, Oguz Ergin, Onur Mutlu:
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM. - Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. - Hussam Habib, Rishab Nithyanand:
Reddit and the Fourth Estate: Exploring the magnitude and effects of media influence on community level moderation on Reddit. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors. - Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. - Ghananeel Rotithor, Iman Salehi, Edward W. Tunstel, Ashwin P. Dani:
Stitching Dynamic Movement Primitives and Image-based Visual Servo Control. - Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis:
Optimal Compression of Locally Differentially Private Mechanisms. - Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Profit equitably: An investigation of market maker's impact on equitable outcomes. - Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. - John Carter, Spiros Mancoridis:
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem. - Mary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam:
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem. - Thomas Führer, Norbert Heuer, Michael Karkulik:
MINRES for second-order PDEs with singular data. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning. - Henning Lange, J. Nathan Kutz:
FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics. - Abdollah Zakeri, Rohollah Hedayati, Mohammad Khedmati, Mehran Taghipour-Gorjikolaie:
Classification of jujube fruit based on several pricing factors using machine learning methods. - Yuji Nakatsukasa, Joel A. Tropp:
Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems. - Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza:
Combining Public and Private Data. - Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. - Victor Peña-Macias:
How to Find New Characteristic-Dependent Linear Rank Inequalities using Secret Sharing. - Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain:
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition. - Prabhav Arora:
A Demonstration of Benchmarking Time Series Management Systems in the Cloud. - Harsh Kohli:
Learning Representations for Zero-Shot Retrieval over Structured Data. - Glenn Liu, Peidong Wang, Matthew Beveridge, Young-Oh Kwon, Iddo Drori:
Predicting Atlantic Multidecadal Variability. - Ellen Park, Jae Deok Kim, Nadège Aoki, Yumeng Melody Cao, Yamin Arefeen, Matthew Beveridge, David Nicholson, Iddo Drori:
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring. - Tobias Leibner, Maja Matis, Mario Ohlberger, Stephan Rave:
Distributed model order reduction of a model for microtubule-based cell polarization using HAPOD. - Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. - Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context Meta-Reinforcement Learning via Neuromodulation. - Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. - Nimesha Wickramasinghe, Mohamed Nabeel, Kenneth Thilakaratne, Chamath Keppitiyagama, Kasun De Zoysa:
Uncovering IP Address Hosting Types Behind Malicious Websites. - Ojas Parekh, R. Ravi, Michael Zlatin:
On Small-Depth Tree Augmentations. - Chi-Hua Chen:
Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction. - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. - Steven Ge, Toshiya Itoh:
Characterization of the Imbalance Problem on Complete Bipartite Graphs. - Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. - (Withdrawn) TransAug: Translate as Augmentation for Sentence Embeddings.
- Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. - Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. - Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang:
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. - Asoke Datta, Yesdaulet Izenov, Brian Tsan, Florin Rusu:
Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates. - Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. - Taha Elmokadem:
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs. - Nicholas Boucher, Ross J. Anderson:
Trojan Source: Invisible Vulnerabilities. - Zhentao Liang, Jin Mao, Kun Lu, Gang Li:
Finding citations for PubMed: A large-scale comparison between five freely available bibliographic data sources. - Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. - John Miller, Elahe Soltanaghai, Raewyn Duvall, Jeff Chen, Vikram Bhat, Nuno Pereira, Anthony G. Rowe:
Multi-User Augmented Reality with Infrastructure-free Collaborative Localization. - Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. - Fernando Alonso-Fernandez, Pedro Tome-Gonzalez, Virginia Ruiz-Albacete, Javier Ortega-Garcia:
Iris Recognition Based on SIFT Features. - Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
:
On Quantitative Evaluations of Counterfactuals. - Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez, Javier Galbally, Julian Fiérrez, Javier Ortega-Garcia:
Direct attacks using fake images in iris verification. - Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. - Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. - Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. - Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang:
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation. - Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim:
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus. - Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim:
Automatic Knowledge Augmentation for Generative Commonsense Reasoning. - Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok:
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. - Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang:
Backdoor Pre-trained Models Can Transfer to All. - Mahmoud Abdelrahman, Adrian Chong, Clayton Miller:
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. - Prithwish Jana, Debasish Jana:
AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones. - Jiaxu Leng, Taiyue Chen, Xinbo Gao, Yongtao Yu, Ye Wang, Feng Gao, Yue Wang:
A Comparative Review of Recent Few-Shot Object Detection Algorithms. - Raymond R. Devillers:
Articulations and Products of Transition Systems and their Applications to Petri Net Synthesis. - Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng:
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis. - Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre:
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. - Zhang Cheng, Haocheng Wan, Xinyi Shen, Zizhao Wu:
PatchFormer: A Versatile 3D Transformer Based on Patch Attention. - Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. - Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. - Jonas Baggenstos, Diyora Salimova:
Approximation properties of Residual Neural Networks for Kolmogorov PDEs. - Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo:
On quadrature rules for solving Partial Differential Equations using Neural Networks. - Bartosz Zielinski:
A Non-Deterministic Multiset Query Language. - Long Zhang, Javier Ron, Benoit Baudry, Martin Monperrus:
Chaos Engineering of Ethereum Blockchain Clients. - A. T. Aniwange, P. T. Nyishar, Babajide Samuel Afolabi, A. O. Ejidokun:
A Hybrid Software Test Automation for Educational Portals. - Jingyao Yang, Chao Liang, Yanrui Niu, Baojin Huang, Zhongyuan Wang:
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies. - Adam Faci, Marie-Jeanne Lesot, Claire Laudy:
Fuzzy Conceptual Graphs: a comparative discussion. - Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi:
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher:
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation. - Miao Zhang, Miaojing Shi, Li Li:
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning. - Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. - Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei:
Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. - Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion:
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud. - Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty:
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. - Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu:
Utility-driven Mining of Contiguous Sequences. - Patrick Kidger, Cristian Garcia:
Equinox: neural networks in JAX via callable PyTrees and filtered transformations. - Govind Sharma, Paarth Gupta, M. Narasihma Murty:
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks. - Mursalin Habib, Md. Salman Shamil, M. Sohel Rahman:
Counting and Verifying Abelian Border Arrays of Binary Words. - Tommaso Tassi, Alberto Zingaro, Luca Dedè:
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems. - Ittai Rubinstein:
Explicit and Efficient Construction of (nearly) Optimal Rate Codes for Binary Deletion Channel and the Poisson Repeat Channel. - Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. - Guotong Ren, Rami M. Younis:
A Quasi-Newton method for physically-admissible simulation of Poiseuille flow under fracture propagation. - Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty:
Higher-Order Relations Skew Link Prediction in Graphs. - Rajeev Alur, Suguman Bansal, Osbert Bastani, Kishor Jothimurugan:
A Framework for Transforming Specifications in Reinforcement Learning. - Anthony M. Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang:
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Édouard Bonnet, Eun Jung Kim, Amadeus Reinald, Stéphan Thomassé:
Twin-width VI: the lens of contraction sequences. - Kim Hammar, Rolf Stadler:
Intrusion Prevention through Optimal Stopping. - Maria Fox, Michael Meredith, J. Alexander Brearley, Dan Jones, Derek Long:
Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans. - Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian:
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. - Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri:
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. - Giovanni Maciel Ferreira Silva, Taufik Abrão:
Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks. - Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Hayet Amdouni:
Optimizing Binary Symptom Checkers via Approximate Message Passing. - Shicheng Wan, Wensheng Gan, Xu Guo, Jiahui Chen, Unil Yun:
FUIM: Fuzzy Utility Itemset Mining. - Daniel Serna-Poot:
Mobile Technologies in Education. - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
TargetUM: Targeted High-Utility Itemset Querying. - Emmanouil Zaranis, Georgios Paraskevopoulos, Athanasios Katsamanis, Alexandros Potamianos:
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments. - Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. - Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward:
ECG synthesis with Neural ODE and GAN models. - Yotam M. Y. Feldman, Mooly Sagiv, Sharon Shoham, James R. Wilcox:
Property-Directed Reachability as Abstract Interpretation in the Monotone Theory. - Mansura Habiba, Barak A. Pearlmutter:
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. - Alireza Naderi, Yaniv Plan:
Beyond Independent Measurements: General Compressed Sensing with GNN Application. - Jermaine Janszen, Babar Shahzaad, Balsam Alkouz, Athman Bouguettaya:
Constraint-Aware Trajectory for Drone Delivery Services. - Yifan Li, Garrett Yoon, Mustafa Nasir-Moin, David Rosenberg, Sean Neifert, Douglas Kondziolka, Eric Karl Oermann:
Identifying and mitigating bias in algorithms used to manage patients in a pandemic. - Yuqin Yang, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash:
Causal Discovery in Linear Structural Causal Models with Deterministic Relations. - Mansura Habiba, Barak A. Pearlmutter:
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. - Mahdi Mirzapour, Andrzej Cegielski, Tommy Elfving:
Convergence and Semi-convergence of a class of constrained block iterative methods. - Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley:
Multi-Agent Advisor Q-Learning. - Sourya Dipta Das, Ayan Basak, Soumil Mandal, Dipankar Das:
AdvCodeMix: Adversarial Attack on Code-Mixed Data. - Shenghao Qiu, You Liang, Zheng Wang:
Optimizing Sparse Matrix Multiplications for Graph Neural Networks. - Saumitra Mishra, Sanghamitra Dutta, Jason Long, Daniele Magazzeni:
A Survey on the Robustness of Feature Importance and Counterfactual Explanations. - Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective. - Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. - Sameer Khanna:
Conical Classification For Computationally Efficient One-Class Topic Determination. - Younan Gao:
Computing Matching Statistics on Repetitive Texts. - Chidhambararajan R, Aman Rangaur, Sibi Chakkaravarthy Sethuraman:
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning. - Zhentong Shao, Qiaozhu Zhai, Xiaohong Guan:
A General Formulation for Evaluating the Performance of Linear Power Flow Models. - Chenming Li, Fei Meng, Han Ma, Jiankun Wang, Max Q.-H. Meng:
Relevant Region Sampling Strategy with Adaptive Heuristic Estimation for Asymptotically Optimal Motion Planning. - Shuto Otaki, Akira Terui, Masahiko Mikawa:
A Design and an Implementation of an Inverse Kinematics Computation in Robotics Using Real Quantifier Elimination based on Comprehensive Gröbner Systems. - Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. - Yifeng Zheng, Cong Wang, Ruochen Wang, Huayi Duan, Surya Nepal:
Optimizing Secure Decision Tree Inference Outsourcing. - Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana:
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. - Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow:
FANS: Fusing ASR and NLU for on-device SLU. - Kunal Chowdhury:
On multiple IoT data streams processing using LoRaWAN. - Aneesh Muppidi, Martin Radfar:
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks. - Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu:
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. - Mohammad Khosravi, Roy S. Smith:
Regularized Identification with Internal Positivity Side-Information. - Mohammad Khosravi, Roy S. Smith:
Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain. - Yingying Li, Subhro Das, Jeff S. Shamma, Na Li:
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. - Jinyue Song, Tianbo Gu, Prasant Mohapatra:
How BlockChain Can Help Enhance The Security And Privacy in Edge Computing? - Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. - Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa:
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. - Deliang Wang, Yu Lu, Qinggang Meng, Penghe Chen:
Interpreting Deep Knowledge Tracing Model on EdNet Dataset. - Ran Zhao, Hanchen Yao, Houde Dai:
Shape Programmable Magnetic Pixel Soft Robot. - Seokjun Kim, Jaeeun Jang, HeeSeok Jung, Hyeoncheol Kim:
Artificial Association Neural Networks. - Chun Fu, Clayton Miller:
Using Google Trends as a proxy for occupant behavior to predict building energy consumption. - Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. - Oualid Zari, Chuan Xu, Giovanni Neglia:
Efficient passive membership inference attack in federated learning. - Yue Han, Dusit Niyato, Cyril Leung, Chunyan Miao, Dong In Kim:
A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data. - Kuo Li, Qing-Shan Jia, Jiaqi Yan:
An Actor-Critic Method for Simulation-Based Optimization. - Ananya Giri:
Analysis of North Indian Classical Ragas Using Tonnetz. - Kuo Li, Qing-Shan Jia:
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method. - Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin, Yi Wan:
Loop closure detection using local 3D deep descriptors. - Jieao Zhu, Zijian Zhang, Zhongzhichao Wan, Linglong Dai:
Finite-Time Capacity: Making Exceed-Shannon Possible? - Amirmohammad Radmehr, Milad Asgari, Mehdi Tale Masouleh:
Experimental Study on the Imitation of the Human Head-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot with ROS and Mediapipe Framework. - Yuhui Quan, Zicong Wu, Hui Ji:
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring. - S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru, Bhavesh Jain, Eitan Altman:
Graph Neural Network based scheduling : Improved throughput under a generalized interference model. - Ljerka Luic, Drazenka Svelec-Juricic, Petar Misevic:
The Impact of Knowledge of the Issue of Identification and Authentication on the Information Security of Adolescents in the Virtual Space. - Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen:
FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks. - Robert Hönig, Yiren Zhao, Robert D. Mullins:
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. - Jinbao Zhu, Qifa Yan, Xiaohu Tang:
Multi-User Blind Symmetric Private Information Retrieval from Coded Servers. - Kaan Gökcesu, Hakan Gökcesu:
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses. - Daiki Miyagawa, Azumi Mamiya, Genki Ichinose:
Adapting paths against zero-determinant strategies in repeated prisoner's dilemma games. - Justin Edwards, Orla Cooney, Rachel Edwards:
Alexa, Play Fetch! A Review of Alexa Skills for Pets. - Tom de Jong, Martín Hötzel Escardó:
Size Matters in Univalent Foundations. - Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan:
Learned Image Compression with Separate Hyperprior Decoders. - Itai Dinur, Nathan Keller, Ohad Klein:
Fine-Grained Cryptanalysis: Tight Conditional Bounds for Dense k-SUM and k-XOR. - Misgana Negassi, Diane Wagner, Alexander Reiterer:
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation. - Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Beyond Bufferbloat: End-to-End Congestion Control Cannot Avoid Latency Spikes. - Anubhav Dogra, Sakshay Mahna, Srikant Sekhar Padhee, Ekta Singla:
Integrated Modular Solution for Task Oriented Manipulator Configuration Design. - Gunjan Haldar, Aman Mittal, Pradyumna Gupta:
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents. - Yossi Magrisso, Ehud Rivlin, Héctor Rotstein:
Local Trajectory Planning For UAV Autonomous Landing. - Zhongzhichao Wan, Jieao Zhu, Zijian Zhang, Linglong Dai:
Capacity for Electromagnetic Information Theory. - Huimin Shi, Quan Zhou, Yinghao Ni, Xiaofu Wu, Longin Jan Latecki:
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention. - Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig:
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. - Samy Abbes:
Introduction to probabilistic concurrent systems. - Eugene Khvedchenya, Tatiana Gabruseva:
Fully convolutional Siamese neural networks for buildings damage assessment from satellite images. - Linjie Wang, Quan Zhou, Chenfeng Jiang, Xiaofu Wu, Longin Jan Latecki:
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary. - Hongyang Du, Dusit Niyato, Jiawen Kang, Dong In Kim, Chunyan Miao:
Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse. - Huaijun Jiang, Yu Shen, Yang Li:
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup. - Sara Papi, Matteo Negri, Marco Turchi:
Visualization: the missing factor in Simultaneous Speech Translation. - Mark E. O'Sullivan, Tatiana Gabruseva, Geraldine B. Boylan, M. O'Riordan, Gordon Lightbody, William P. Marnane:
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph. - Faris B. Mismar, Carlos A. Cabrera:
Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach. - Asier Gutiérrez-Fandiño, Miquel Noguer i Alonso, Petter Kolm, Jordi Armengol-Estapé:
FinEAS: Financial Embedding Analysis of Sentiment. - Sanghyeok Chu, Dongwan Kim, Bohyung Han:
Learning Debiased and Disentangled Representations for Semantic Segmentation. - Wentao Xu, Kazutoshi Sasahara:
A network-based approach to QAnon user dynamics during COVID-19 infodemic. - Andy Catruna, Adrian Cosma, Ion Emilian Radoi:
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns. - Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Cross-Domain Reasoning via Template Filling. - Frédéric Blanqui, Gilles Dowek, Émilie Grienenberger, Gabriel Hondet, François Thiré:
Some axioms for mathematics. - Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian:
Fast Global Convergence of Policy Optimization for Constrained MDPs. - Nathan Crone, Adam Power, John Weldon:
Quality Estimation Using Round-trip Translation with Sentence Embeddings. - Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. - Jennifer Tang, Yury Polyanskiy:
Capacity of Noisy Permutation Channels. - Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. - Aleksandr Timofeev, Andrei Afonin, Yehao Liu:
Can we learn gradients by Hamiltonian Neural Networks? - Sarah E. Finch, James D. Finch, Daniil Huryn, William Hutsell, Xiaoyuan Huang, Han He, Jinho D. Choi:
An Approach to Inference-Driven Dialogue Management within a Social Chatbot. - James D. Finch, Sarah E. Finch, Jinho D. Choi:
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts. - Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli:
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms. - Sairamvinay Vijayaraghavan, Jinxiao Song, David Tomassi, Siddhartha Punj, Jailan Sabet:
Text Classification for Task-based Source Code Related Questions. - Jahnavi Reddy, Nelly Elsayed, Zag ElSayed, Murat Ozer:
Data Breaches in Healthcare Security Systems. - Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava:
JEDAI Explains Decision-Making AI. - Katherine Keegan, Tanvi Vishwanath, Yihua Xu:
A Tensor SVD-based Classification Algorithm Applied to fMRI Data. - Sandra Alves, Jorge Iglésias:
A Graphical Framework for the Category-Based Metamodel for Access Control and Obligations. - Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Finn Zahari, Hermann Kohlstedt, Thomas Mussenbrock:
Stochastic behaviour of an interface-based memristive device. - Yiqing Zhao, Yuan Luo:
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records. - Wen Cheng, Anna L. Mazzucato, Victor Nistor:
Approximate Solutions to Second-Order Parabolic Equations: evolution systems and discretization. - Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. - Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco:
Bayesian optimization of distributed neurodynamical controller models for spatial navigation. - Nur Geffen Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir:
Minimum Description Length Recurrent Neural Networks. - M. Humayn Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan, Keyvan Ansari:
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform. - Michael A. Bender, Martin Farach-Colton, John Kuszmaul, William Kuszmaul, Mingmou Liu:
On the Optimal Time/Space Tradeoff for Hash Tables. - Enass Hriba, Matthew C. Valenti, Robert W. Heath Jr.:
Optimization of a Millimeter-Wave UAV-to-Ground Network in Urban Deployments. - Lu Lin, Ethan Blaser, Hongning Wang:
Graph Embedding with Hierarchical Attentive Membership. - Jehanzeb H. Chaudhry, Donald J. Estep, Simon Tavener:
A posteriori error analysis for a space-time parallel discretization of parabolic partial differential equations. - Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh:
A Systematic Investigation of Commonsense Understanding in Large Language Models. - Onur Çagirici:
Computational Aspects of Problems on Visibility and Disk Graph Representations. - Anurag Katakkar, Alan W. Black:
Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units. - Jehad Aldahdooh, ZiaurRehman Tanoli, Jing Tang:
R-BERT-CNN: Drug-target interactions extraction from biomedical literature. - Elias Karabelas, Matthias A. F. Gsell, Gundolf Haase, Gernot Plank, Christoph M. Augustin:
An accurate, robust, and efficient finite element framework for anisotropic, nearly and fully incompressible elasticity. - Jan Jetze Beitler, Ivan Sosnovik, Arnold W. M. Smeulders:
PIE: Pseudo-Invertible Encoder. - Bojian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang:
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure. - Zixia Zhou, Xinrui Zu, Yuanyuan Wang, Boudewijn P. F. Lelieveldt, Qian Tao:
Deep Recursive Embedding for High-Dimensional Data. - Amardeep Singh, Julian Jang-Jaccard:
Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold. - Avijit Shah, Topojoy Biswas, Sathish Ramadoss, Deven Santosh Shah:
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding. - Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Safe Learning of Linear Time-Invariant Systems. - Yuanzhi Li, Ruosong Wang, Lin F. Yang:
Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning. - Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan:
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. - Dinh-Truong Do, Ha-Thanh Nguyen, Thang Ngoc Bui, Hieu Dinh Vo:
VSEC: Transformer-based Model for Vietnamese Spelling Correction. - Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. - Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer:
Accurate Point Cloud Registration with Robust Optimal Transport. - Alexander V. Mamonov, Maxim A. Olshanskii:
Interpolatory tensorial reduced order models for parametric dynamical systems. - Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. - Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Automated Integration of Deep Learning Backends. - Lei Sun, Lu Deng:
TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios. - Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining. - Yueyuan Ao, Hong Wu:
Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection. - Necdet Gurkan, Jordan W. Suchow:
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. - Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. - Rongsheng Zhang, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Unsupervised Domain Adaptation with Adapter. - David P. Woodruff, Taisuke Yasuda:
Improved Algorithms for Low Rank Approximation from Sparsity. - Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. - Lucas M. de Oliveira, Robert M. Oliveira, Rodrigo C. de Lamare:
Decoding of Polar Codes Based on Q-Learning-Driven Belief Propagation. - Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen:
Distilling Object Detectors with Feature Richness. - Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev:
Domain-adaptation of spherical embeddings. - Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. - Zhe Zhou, Cong Li, Xuechao Wei, Guangyu Sun:
GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing. - Lu Lin, Ethan Blaser, Hongning Wang:
Graph Structural Attack by Spectral Distance. - Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun:
RMNet: Equivalently Removing Residual Connection from Networks. - Ming Zhan, Zhibo Pang, Kan Yu, Jing Xu, Fang Wu:
Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding. - Yun Fei, Yuhan Huang, Ming Gao:
Principles towards Real-Time Simulation of Material Point Method on Modern GPUs. - Yichen Wang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra:
Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation. - Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li:
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. - Vedangi Wagh, Snehal Ishwar Khandve, Isha Joshi, Apurva Wani, Geetanjali Kale, Raviraj Joshi:
Comparative Study of Long Document Classification. - Camelia Simoiu, Wilson D. Nguyen, Zakir Durumeric:
An Empirical Analysis of HTTPS Configuration Security. - Mojtaba Heydari, Matthew C. McCallum, Andreas F. Ehmann, Zhiyao Duan:
A Novel 1D State Space for Efficient Music Rhythmic Analysis. - Yujia Wang, Lu Lin, Jinghui Chen:
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. - Phan The Duy, Hien Do Hoang, Do Thi Thu Hien, Anh Gia-Tuan Nguyen, Van-Hau Pham:
B-DAC: A Decentralized Access Control Framework on Northbound Interface for Securing SDN Using Blockchain. - Darya Kaviani, Niloufar Salehi:
Bridging Action Frames: Instagram Infographics in U.S.Ethnic Movements. - Sunghwa Lee, Euiho Kim, Jiwon Seo:
SFOL DME Pulse Shaping Through Digital Predistortion for High-Accuracy DME. - Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski:
Online Edge Coloring via Tree Recurrences and Correlation Decay. - Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki:
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks. - Xing Wang, Juan Zhao, Lin Zhu, Xu Zhou, Zhao Li, Junlan Feng, Chao Deng, Yong Zhang:
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Zi Jian Yew, Gim Hee Lee:
Learning Iterative Robust Transformation Synchronization. - Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang:
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. - Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. - Yiling Jia, Hongning Wang:
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. - Na Zhao, Zhen Long, Zhi-Dan Zhao, Jian Wang:
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph. - Weiran Huang, Mingyang Yi, Xuyang Zhao:
Towards the Generalization of Contrastive Self-Supervised Learning. - Haoji Liu, Weichao Zhuang, Guodong Yin, Rongcan Li, Chang Liu, Shanxing Zhou:
Decentralized On-Ramp Merging Control of Connected and Automated Vehicles in the Mixed Traffic Using Control Barrier Functions. - Hua-Liang Wei, S. A. Billings:
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems. - Chao Dong, Qi Ye, Wenchao Meng, Kaixiang Yang:
Few-shot learning with improved local representations via bias rectify module. - Fateme Dehrouye-Semnani, Nasrollah Moghadam Charkari, Seyed Mohammad Mehdi Mirbagheri:
Toward an improved BCI for damaged CNS-tissue patient using EEG-signal processing approach. - Seyed Omid Mohammadi, Hossein Bodaghi, Ahmad Kalhor:
Single-Item Fashion Recommender: Towards Cross-Domain Recommendations. - Yusheng Wang, Weiwei Song, Yi Zhang, Fei Huang, Zhiyong Tu, Yidong Lou:
MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration. - Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy:
Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements. - Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar:
Validate on Sim, Detect on Real - Model Selection for Domain Randomization. - Sugyeong Eo, Chanjun Park, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim:
A New Tool for Efficiently Generating Quality Estimation Datasets. - Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. - Hongfu Yang:
First order strong convergence and extinction of positivity preserving logarithmic truncated Euler-Maruyama method for the stochastic SIS epidemic model. - Alexandros Stergiou, Ronald Poppe:
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling. - Alexander M. Romanov:
On the number of q-ary quasi-perfect codes with covering radius 2. - Shengyu Wei, Ruoyu Guo, Cheng Cui, Bin Lu, Shuilong Dong, Tingquan Gao, Yuning Du, Ying Zhou, Xueying Lyu, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-ShiTu: A Practical Lightweight Image Recognition System. - Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon:
Pseudo-Spherical Contrastive Divergence. - Hsu Kao, Chen-Yu Wei, Vijay G. Subramanian:
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure. - Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, Birendra Sahu:
An AI-powered Smart Routing Solution for Payment Systems. - Yu Liu, Jingtao Ding, Yong Li:
Knowledge-driven Site Selection via Urban Knowledge Graph. - Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. - Russell Buchanan, Marco Camurri, Frank Dellaert, Maurice F. Fallon:
Learning Inertial Odometry for Dynamic Legged Robot State Estimation. - Ali Safa, Hichem Sahli, André Bourdoux, Ilja Ocket, Francky Catthoor, Georges G. E. Gielen:
Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision. - Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xuecheng Tai, Laurent D. Cohen:
Geodesic Models with Convexity Shape Prior. - Luisa Greifenstein, Isabella Graßl, Gordon Fraser:
Challenging but Full of Opportunities: Teachers' Perspectives on Programming in Primary Schools. - Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. - Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay:
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs. - Sharid Loáiciga, Luca Bevacqua, Christian Hardmeier:
Unsupervised Discovery of Unaccusative and Unergative Verbs. - Tamás Spisák:
Statistical quantification of confounding bias in predictive modelling. - Özgür Akgün, Alan M. Frisch, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon:
Towards Reformulating Essence Specifications for Robustness. - Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan:
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition. - Michel Wijkstra, Timo Lek, Tobias Kuhn, Kasper Welbers, Mickey Steijaert:
Living Literature Reviews. - Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. - Ridewaan Hanslo:
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results. - Robin A. Richardson, Remzi Celebi, Sven van der Burg, Djura Smits, Lars Ridder, Michel Dumontier, Tobias Kuhn:
User-friendly Composition of FAIR Workflows in a Notebook Environment. - Minhong Chen, Wei Dou, Shenggao Zhou:
Fast Newton Iterative Method for Local Steric Poisson-Boltzmann Theories in Biomolecular Solvation. - Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
How I Learned to Stop Worrying and Love Retraining. - Hsin-Wei Wang, Bi-Cheng Yan, Hsuan-Sheng Chiu, Yung-Chang Hsu, Berlin Chen:
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis. - Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You:
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. - Alexander Shen:
Individual codewords. - Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
A Frequency Perspective of Adversarial Robustness. - Eddy Keming Chen, Daniel Rubio:
Surreal Decisions. - Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition. - Nicholas Asher, Julie Hunter:
Interpretive Blindness. - Frédéric Berthommier:
A mathematical model of the vowel space. - He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo:
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. - Nayan Saxena, Pan Chen, Emmy Liu:
Statistical Consequences of Dueling Bandits. - Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Wenyue Lu, Xin Li:
Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model. - Taotao Zhou, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan:
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications. - Cédric Beaulac:
A moment-matching metric for latent variable generative models. - David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh:
On the Expressivity of Markov Reward. - Minghui Chen, Zhiqiang Wang, Feng Zheng:
Benchmarks for Corruption Invariant Person Re-identification. - Vahid Mohammadi Safarzadeh, Hamed Ghasr Loghmani:
Artificial Intelligence in the Low-Level Realm - A Survey. - Pan Yang, Xin Cong, Zhenyu Sun, Xingwu Liu:
Enhanced Language Representation with Label Knowledge for Span Extraction. - Péter L. Erdös, Tamás Róbert Mezei, Yiding Yu, Xiang Chen, Wei Han, Bo Bai:
Algorithms for Interference Minimization in Future Wireless Network Decomposition. - Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
Intervention Efficient Algorithm for Two-Stage Causal MDPs. - Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. - Long He, Dandan Song, Liang Zheng:
Hierarchical Image Classification with A Literally Toy Dataset. - Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Indiscriminate Poisoning Attacks Are Shortcuts. - Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic:
Equivariant Contrastive Learning. - Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini:
On the Usage of Networked Tethered Flying Platforms for Massive Events - Case Study: Hajj Pilgrimage. - Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. - Guanghua Yu, Qinyao Chang, Wenyu Lv, Chang Xu, Cheng Cui, Wei Ji, Qingqing Dang, Kaipeng Deng, Guanzhong Wang, Yuning Du, Baohua Lai, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices. - Vitaly Vanchurin:
Towards a theory of quantum gravity from neural networks. - Seyed Omid Mohammadi, Ahmad Kalhor:
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry. - Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
Flag Codes: Distance Vectors and Cardinality Bounds. - Gregory J. Hunt, Cody R. Ground, Andrew D. Cutler:
Adaptive Modeling Powers Fast Multi-parameter Fitting of CARS Spectra. - Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture. - Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra:
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection. - Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. - Zhenyu Wang, Yali Li, Ye Guo, Shengjin Wang:
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification. - Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg:
Bounds all around: training energy-based models with bidirectional bounds. - Diankun Zhang, Zhijie Zheng, Xueting Bi, Xiaojun Liu:
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection. - Sebastian Werner, Stefan Tai:
Application-Platform Co-Design for Serverless Data Processing. - Zijian Hu, William H. K. Lam, Sze Chun Wong, Andy H. F. Chow, Wei Ma:
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation. - Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, Nicolas Holzschuch:
SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network. - Zhiwu Zheng, Prakhar Kumar, Yenan Chen, Hsin Cheng, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm:
Piezoelectric Soft Robot Inchworm Motion by Controlling Ground Friction through Robot Shape. - Nacime Bouziani, David A. Ham:
Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL]. - Korney Tomashchuk:
Methods for the Numerical Analysis of Boundary Value Problem of Partial Differential Equations Based on Kolmogorov Superposition Theorem. - Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. - Jianning Quan, A. Ben Hamza:
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation. - Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning from Randomized Simulations: A Review. - Piotr Gramacki, Szymon Wozniak, Piotr Szymanski:
gtfs2vec - Learning GTFS Embeddings for comparing Public Transport Offer in Microregions. - Shengyuan Xu, Wenxiao Zhao, Jing Guo:
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses. - Chace Ashcraft, Kiran Karra:
Machine Learning aided Crop Yield Optimization. - Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. - Chia-Hung Wang, Hsueh-Wei Chen, Li-Chen Fu:
VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection. - Hallvar Haugdal, Kjetil Uhlen, Hjörtur Jóhannsson:
Achieving increased Phasor POD performance by introducing a Control-Input Model. - Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai:
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis. - Szymon Wozniak, Piotr Szymanski:
Hex2vec - Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags. - Yushi Hirose, Masashi Shimbo, Taro Watanabe:
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. - Marcelo Sancinetti, Jazmín Vidal, Cyntia Bonomi, Luciana Ferrer:
A transfer learning based approach for pronunciation scoring. - Gan Tong, Libo Huang:
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development. - Shitu Zhang, Zhixun Zhu, Yang Li:
A critical review of data-driven transient stability assessment of power systems: principles, prospects and challenges. - Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton:
Mixture Proportion Estimation and PU Learning: A Modern Approach. - Teodor Tita, Arkaitz Zubiaga:
Cross-lingual Hate Speech Detection using Transformer Models. - Shaojie Tang, Jing Yuan:
Partial-Adaptive Submodular Maximization. - Kamil Raczycki, Piotr Szymanski:
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data. - Jianing Qiu, Lipeng Chen, Xiao Gu, Frank Po Wen Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo:
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion. - Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade:
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language. - Robert Stephany, Christopher J. Earls:
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning. - Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. - Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger:
Projected GANs Converge Faster. - Filipe de Avila Belbute-Peres, Yi-Fan Chen, Fei Sha:
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks. - Chang Liu, Chen Gao, Depeng Jin, Yong Li:
Improving Location Recommendation with Urban Knowledge Graph. - Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli:
Gomoku: analysis of the game and of the player Wine. - Eryk Kopczynski, Dorota Celinska-Kopczynska:
Dynamic Distances in Hyperbolic Graphs. - Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu:
A variance principle explains why dropout finds flatter minima. - Ruijie Jiang, Julia Gouvea, Eric L. Miller, David Hammer, Shuchin Aeron:
Interpretable contrastive word mover's embedding. - Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen:
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition. - Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. - Andrey Gorbunov, Jimmy Chih-Hsien Peng, Janusz W. Bialek, Petr Vorobev:
Identification of Stability Regions in Inverter-Based Microgrids. - Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges:
Render In-between: Motion Guided Video Synthesis for Action Interpolation. - Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin:
A Unified View of cGANs with and without Classifiers. - Bernd Hofmann, Peter Mathé:
The degree of ill-posedness of composite linear ill-posed problems with focus on the impact of the non-compact Hausdorff moment operator. - Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo:
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. - Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. - Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. - Jeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu:
Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions. - Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao:
OctField: Hierarchical Implicit Functions for 3D Modeling. - Ankush Ojha, Marichi Agarwal, Aniruddha Singhal, Chayan Sarkar, Supratim Ghosh, Rajesh Sinha:
A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center. - Johannes Kromer, Dieter Bothe:
Third-order accurate initialization of VOF volume fractions on unstructured meshes with arbitrary polyhedral cells. - Manupriya Gupta, Pavas Goyal, Rohit Verma, Rajeev Shorey, Huzur Saran:
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes. - Ishan Prakash, Aniruddh Bansal, Rohit Verma, Rajeev Shorey:
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment. - Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. - Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction. - Ruqi Pei, Travis Askham, Leslie Greengard, Shidong Jiang:
Periodic Fast Multipole Method. - Stefanie Scherzinger, Andreas Thor:
AutoShard - Declaratively Managing Hot Spot Data Objects in NoSQL Document Stores. - Tohid Rahimi, Hossein Khoun Jahan, Armin Abadifard, Mohsen Akbari, Pedram Ghavidel, Masoud Farhadi, Seyed Hossein Hosseini:
Fault-Tolerant Performance Enhancement of DC-DC Converters with High-Speed Fault Clearing-unit based Redundant Power Switch Configurations. - Gradimir V. Milovanovic:
On the Markov extremal problem in the L2-norm with the classical weight functions. - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Encoding Program as Image: Evaluating Visual Representation of Source Code. - Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley:
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments. - Wenqi Cui, Weiwei Yang, Baosen Zhang:
Predicting Power System Dynamics and Transients: A Frequency Domain Approach. - Rishik Mishra, Neeraj Gupta, Nitya Shukla:
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos. - Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
Resource-Efficient Federated Learning. - Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. - Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang:
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir". - Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? - Zheng Chen, Lantao Liu:
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. - Ganesh Krishnan, Heike Hofmann:
Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations. - Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou:
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment. - Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi:
ASMDD: Arabic Speech Mispronunciation Detection Dataset. - Soham Dan, Phanideep Gampa, Anirbit Mukherjee:
Investigating the locality of neural network training dynamics. - Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. - Carsten Carstensen, Ngoc Tien Tran:
Convergent adaptive hybrid higher-order schemes for convex minimization. - Aryan Deshwal, Janardhan Rao Doppa:
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. - Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg:
Transformers for prompt-level EMA non-response prediction. - Stine Fleischer Myhre, Olav Bjarte Fosso, Poul Einar Heegaard, Oddbjørn Gjerde:
A Tool for Reliability Assessment of Smart and Active Distribution Systems - RELSAD. - Timothy M. Chan, Qizheng He, Subhash Suri, Jie Xue:
Dynamic Geometric Set Cover, Revisited. - Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. - Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren:
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. - Soham Tiwari, Kshitiz Lakhotia, Manjunath Mulimani:
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset. - Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao:
Sig-Wasserstein GANs for Time Series Generation. - Margot J. Hanley, Shiri Azenkot:
Understanding the Use of Voice Assistants by Older Adults. - Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. - Joann Ching, Yi-Hsuan Yang:
Learning To Generate Piano Music With Sustain Pedals. - Lenin Leines-Vite, Juan Carlos Pérez Arriaga, Xavier Limón:
Confidentiality and Integrity Mechanisms for Microservices Communication. - Houssem Sifaou, Geoffrey Ye Li:
Robust Federated Learning via Over-The-Air Computation. - Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg:
Kernel Deformed Exponential Families for Sparse Continuous Attention. - Adrian Ahne, Vivek Khetan, Xavier Tannier, Md Imbesat Hassan Rizvi, Thomas Czernichow, Francisco Orchard, Charline Bour, Andrew E. Fano, Guy Fagherazzi:
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. - Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. - Rinat Aynulin:
Impact of network topology on efficiency of proximity measures for community detection. - Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu:
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. - Cem Gormezano, Jean-Christophe Nave, Andy T. S. Wan:
Conservative Integrators for Vortex Blob Methods. - Prateek Yadav, Peter Hase, Mohit Bansal:
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions. - Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, Dan Roth:
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey. - Eugene Valassakis, Kamil Dreczkowski, Edward Johns:
Learning Eye-in-Hand Camera Calibration from a Single Image. - Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Neural Scene Flow Prior. - Jimmy T. H. Smith, Scott W. Linderman, David Sussillo:
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. - Jossekin Beilharz, Bjarne Pfitzner, Robert Schmid, Paul Geppert, Bert Arnrich, Andreas Polze:
Implicit Model Specialization through DAG-based Decentralized Federated Learning. - Changhao Wang, Zhian Kuang, Xiang Zhang, Masayoshi Tomizuka:
Safe Online Gain Optimization for Variable Impedance Control. - Miel Sharf, Bart Besselink, Karl Henrik Johansson:
Verifying Contracts for Perturbed Control Systems using Linear Programming. - Hannah Halin Kim, Shuzhi Yu, Carlo Tomasi:
Joint Detection of Motion Boundaries and Occlusions. - Mohammed Alharthi, Sanaa H. Mohamed, Barzan A. Yosuf, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Passive Optical Networks with Cascaded-AWGRs for Data Centers. - Brett Daley, Christopher Amato:
Human-Level Control without Server-Grade Hardware. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Brain dynamics via Cumulative Auto-Regressive Self-Attention. - Niko Moritz, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux:
Sequence Transduction with Graph-based Supervision. - Madeline Navarro, Genevera I. Allen, Michael Weylandt:
Network Clustering for Latent State and Changepoint Detection. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Multi network InfoMax: A pre-training method involving graph convolutional networks. - Zuzhao Ye, Yuanqi Gao, Nanpeng Yu:
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration. - David I. Spivak, Timothy Hosgood:
Deep neural networks as nested dynamical systems. - Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. - Skylar X. Wei, Peder Harderup, Joel Burdick:
Differential Flatness and Flatness Inspired Control of Aerial Manipulators based on Lagrangian Reduction. - Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen:
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services. - Jared Mejia, Alex Devonport, Murat Arcak:
DaDRA: A Python Library for Data-Driven Reachability Analysis. - Razieh Rahimi, Youngwoo Kim, Hamed Zamani, James Allan:
Explaining Documents' Relevance to Search Queries. - Oscar P. Bruno, Jan S. Hesthaven, Daniel V. Leibovici:
FC-based shock-dynamics solver with neural-network localized artificial-viscosity assignment. - Ralucca Gera, Akrati Saxena, D'Marie Bartolf, Simona Tick:
A Network Science Perspective to Personalized Learning. - Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum:
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. - Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin:
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective. - Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti:
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition. - Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang, Huijuan Wang, Petter Holme, Zi-Ke Zhang:
Measuring and utilizing temporal network dissimilarity. - Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. - Guergana Petrova, Przemyslaw Wojtaszczyk:
Lipschitz widths. - Teng Gao, Jian Zhou, Huabin Wang, Liang Tao, Hon Keung Kwan:
Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion. - Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh:
Can Vision Transformers Perform Convolution? - Siddhartha Gairola, Murtuza Bohra, Nadeem Shaheer, Navya Jayaprakash, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection. - Yiming Xu, Mudit Paliwal, Xilei Zhao:
Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach. - Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. - Satyan L. Devadoss, Matthew S. Harvey:
Unfoldings and Nets of Regular Polytopes. - Rishav Chourasia, Batnyam Enkhtaivan, Kunihiro Ito, Junki Mori, Isamu Teranishi, Hikaru Tsuchida:
Knowledge Cross-Distillation for Membership Privacy. - Juncheng Liu, Brendan McCane, Steven Mills:
Learning to Explore by Reinforcement over High-Level Options. - Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara:
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. - Liao Qu, Shuaiqi Huang, Yunsong Jia, Xiang Li:
Improved Loss Function-Based Prediction Method of Extreme Temperatures in Greenhouses. - Michihiro Shintani, Riaz-ul-haque Mian, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michiko Inoue:
Wafer-level Variation Modeling for Multi-site RF IC Testing via Hierarchical Gaussian Process. - Fahao Chen, Peng Li, Toshiaki Miyazaki, Celimuge Wu:
FedGraph: Federated Graph Learning with Intelligent Sampling. - Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li:
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy. - H. J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake:
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use. - Simon Apers, Pawel Gawrychowski, Troy Lee:
Finding the KT partition of a weighted graph in near-linear time. - Poornima Mahadevappa, Syeda Mariam Muzammal, Raja Kumar Murugesan:
A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks. - Daria Reshetova, Yikun Bai, Xiugang Wu, Ayfer Özgür:
Understanding Entropic Regularization in GANs. - Chung Min Kim, Michael Danielczuk, Isabella Huang, Ken Goldberg:
Simulation of Parallel-Jaw Grasping using Incremental Potential Contact Models. - Huan Qing:
Overlapping and nonoverlapping models. - Kyongsik Yun, Rishi Verma, Umaa Rebbapragada:
Time Series Comparisons in Deep Space Network. - Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. - Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. - Haoran Zhou, Hang Huang, Rui Zhao, Wei Wang, Qingguo Zhou:
Boundary Distribution Estimation to Precise Object Detection. - Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Learning. - Johanna Schmidhuber, Stephan Schlögl, Christian Ploder:
Cognitive Load and Productivity Implications in Human-Chatbot Interaction. - Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammad Ghafari:
Dazed and Confused: What's Wrong with Crypto Libraries? - Yantong Wang, Vasilis Friderikos, Sebastian Andraos:
A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots. - Atharv Singh Patlan, Shiven Tripathi, Shubham Korde:
A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrots. - Wenyu Zhu, Zhiyao Feng, Zihan Zhang, Zhijian Ou, Min Yang, Chao Zhang:
iCallee: Recovering Call Graphs for Binaries. - Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. - Ron Ofir, Michael Margaliot:
The Multiplicative Compound of a Matrix Pencil with Applications to Difference-Algebraic Equations. - Quentin Stiévenart, Coen De Roover, Mohammad Ghafari:
The Security Risk of Lacking Compiler Protection in WebAssembly. - Bernhard Haeupler, D. Ellis Hershkowitz, Thatchaphol Saranurak:
Fast Algorithms for Hop-Constrained Flows and Moving Cuts. - Alejandro Ranchal-Pedrosa, Vincent Gramoli:
Rational Agreement in the Presence of Crash Faults. - Qing Pan, Teng Gao, Jian Zhou, Huabin Wang, Liang Tao, Hon Keung Kwan:
CycleGAN with Dual Adversarial Loss for Bone-Conducted Speech Enhancement. - Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim:
Associational Deductive Networks. - Jamie Cui, Cen Chen, Tiandi Ye, Li Wang:
Practical and Light-weight Secure Aggregation for Federated Submodel Learning. - Maiara F. Bollauf, Hsuan-Yin Lin, Øyvind Ytrehus:
The Secrecy Gain of Formally Unimodular Lattices on the Gaussian Wiretap Channel. - Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti, Francesca Odone:
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty. - Marcelo Forets, Christian Schilling:
Conservative Time Discretization: A Comparative Study. - Charles C. Morace, Thi Ngoc Hanh Le, Sheng-Yi Yao, Shang-Wei Zhang, Tong-Yee Lee:
Learning a perceptual manifold with deep features for animation video resequencing. - Philipp Weidel, Sadique Sheik:
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting. - Jonas Kohler, Maarten C. Ottenhoff, Sophocles Goulis, Miguel Angrick, Albert J. Colon, G. Louis Wagner, Simon Tousseyn, Pieter Leonard Kubben, Christian Herff:
Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework. - Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. - Ruixi Lin, Hwee Tou Ng:
System Combination for Grammatical Error Correction Based on Integer Programming. - Erna Begovic, Ana Boksic:
Trace maximization algorithm for the approximate tensor diagonalization. - Eric Cancès, Geneviève Dusson, Gaspard Kemlin, Antoine Levitt:
Practical error bounds for properties in plane-wave electronic structure calculations. - Eliya Nachmani, Shaked Dovrat:
Zero-Shot Translation using Diffusion Models. - Laurent Bienvenu, Barbara F. Csima, Matthew Harrison-Trainor:
Some Questions of Uniformity in Algorithmic Randomness. - Clémence Réda, Andrea Tirinzoni, Rémy Degenne:
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification. - Rebecca M. C. Taylor, Johan A. du Preez:
Variational message passing (VMP) applied to LDA. - Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao:
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks. - Iñigo Martinez, Jan L. Bruse, Ane M. Florez-Tapia, Elisabeth Viles, Igor G. Olaizola:
ArchABM: an agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality. - Thibaut Balabonski, Antoine Lanco, Guillaume Melquiond:
A strong call-by-need calculus. - Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen:
Constructing Neural Network-Based Models for Simulating Dynamical Systems. - Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee:
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. - Ra'Fat Al-Msie'deen, Anas H. Blasi, Mohammed A. Alsuwaiket:
Constructing a software requirements specification and design for electronic IT news magazine system. - Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia:
Towards Enabling I/O Awareness in Task-based Programming Models. - Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro:
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. - Hind Saleh Alatawi, Areej Alhothali, Kawthar Moria:
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model. - Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedFly: Towards Migration in Edge-based Distributed Federated Learning. - Hanwen Li, Qiuyan Shang, Yong Deng:
A modified gravity model based on network efficiency for vital nodes identification in complex networks. - Irene Garcia-Camacho, Júlia Borràs Sol, Berk Çalli, Adam Norton, Guillem Alenyà:
Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation. - Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang:
HydraText: Multi-objective Optimization for Adversarial Textual Attack. - Hadrien Lautraite, Patrick Mesana:
Generating synthetic transactional profiles. - Fatih Kilinc, Ibrahim Yildirim, Ertugrul Basar:
Physical Channel Modeling for RIS-Empowered Wireless Networks in Sub-6 GHz Bands. - Domagoj Vrgoc, Carlos Rojas, Renzo Angles, Marcelo Arenas, Diego Arroyuelo, Carlos Buil-Aranda, Aidan Hogan, Gonzalo Navarro, Cristian Riveros, Juan Romero:
MillenniumDB: A Persistent, Open-Source, Graph Database. - Samreen Kazi, Shakeel A. Khoja:
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension. - Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu:
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. - Konstantinos Demertzis, Georgios C. Papadopoulos, Lazaros Iliadis, Lykourgos Magafas:
A Comprehensive Survey on Nanophotonics Neural Networks. - Arthur Lee, Bruce Xu:
Classifying Approximation Algorithms: Understanding the APX Complexity Class. - Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski:
Likelihood-Free Inference in State-Space Models with Unknown Dynamics. - Nicholas Hoernle, Rafael-Michael Karampatsis, Vaishak Belle, Kobi Gal:
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks. - Haris Aziz, Alexander Lam, Barton E. Lee, Toby Walsh:
Strategyproof and Proportionally Fair Facility Location. - Tan Li, Linqi Song:
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. - Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. - Constantin Cezar Petrescu, Sam Smith, Rafail Giavrimis, Santanu Kumar Dash:
Do Names Echo Semantics? A Large-Scale Study of Identifiers Used in C++'s Named Casts. - Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. - Kangda Zhi, Cunhua Pan, Gui Zhou, Hong Ren, Maged Elkashlan, Robert Schober:
Is RIS-Aided Massive MIMO Promising with ZF Detectors and Imperfect CSI? - Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick:
Procedural Generalization by Planning with Self-Supervised World Models. - Dirk van der Hoeven, Nicolò Cesa-Bianchi:
Nonstochastic Bandits and Experts with Arm-Dependent Delays. - Gaetano Scebba, Jia Zhang, Sabrina Catanzaro, Carina Mihai, Oliver Distler, Martin Berli, Walter Karlen:
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation. - Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. - Lu Zhang, Peiliang Li, Jing Chen, Shaojie Shen:
Trajectory Prediction with Graph-based Dual-scale Context Fusion. - Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! - Reda Ouhamma, Odalric Maillard, Vianney Perchet:
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge. - Mohammad Baradaran, Robert Bergevin:
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods. - Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel:
Profit Sharing Contracts between Content and Service Providers for Enhanced Network Quality. - Gaspar Faure, Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
PolyTrack: Tracking with Bounding Polygons. - Qiang Liu, Nakjung Choi, Tao Han:
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning. - Min Jin Chong, Hsin-Ying Lee, David A. Forsyth:
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN. - Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-attention Fusion Guided Multi-modal Segmentation Network. - Xutian Deng, Yiting Chen, Fei Chen, Miao Li:
Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations. - Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. - Paola F. Antonietti, Matteo Caldana, Luca Dedè:
Accelerating Algebraic Multigrid Methods via Artificial Neural Networks. - Muhammad Sajidur Rahman, Blas Kojusner, Ryon Kennedy, Prerit Pathak, Lin Qi, Byron Williams:
SO{U}RCERER: Developer-Driven Security Testing Framework for Android Apps. - Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi:
Elucidating Noisy Data via Uncertainty-Aware Robust Learning. - Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine:
Neural Program Generation Modulo Static Analysis. - Vineet Gokhale, Mohamad A. Eid, Kees Kroep, R. Venkatesha Prasad, Vijay S. Rao:
Towards Enabling High-Five Over WiFi. - Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. - Amin Azari, Fateme Salehi, Panagiotis Papapetrou, Cicek Cavdar:
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. - Christoph Benzmüller, Sebastian Reiche:
Modeling and Automating Public Announcement Logic with Relativized Common Knowledge as a Fragment of HOL in LogiKEy. - Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. - Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. - Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim:
Classification of Goods Using Text Descriptions With Sentences Retrieval. - Luiz Fernando Capretz, Pradeep Waychal, Jingdong Jia, Yadira Lizama, Daniel Varona:
International Comparative Studies on the Software Testing Profession. - Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. - Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. - Gilchan Park, Julia M. Taylor:
Towards Text-based Phishing Detection. - Zhuoran Ma, Majing Lou, Xuan Ouyang:
Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity. - Yupei Zhang, Kwok-Leung Chan:
Saliency detection with moving camera via background model completion. - Ran Shadmi, Jonathan Laserson, Gil Elbaz:
Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection. - Lehan Yang, Jincen Song:
Rethinking the Knowledge Distillation From the Perspective of Model Calibration. - Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski:
Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density. - Georgios Tzounas:
Small-Signal Stability Techniques for Power System Modal Analysis, Control, and Numerical Integration. - Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra:
Low-Rank+Sparse Tensor Compression for Neural Networks. - Carolyn Ashurst, Emmie Hine, Paul Sedille, Alexis Carlier:
AI Ethics Statements - Analysis and lessons learnt from NeurIPS Broader Impact Statements. - Archita Pathak, Rohini K. Srihari:
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking. - Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein:
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. - Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan:
Absolute distance prediction based on deep learning object detection and monocular depth estimation models. - Junuk Jung, Sungbin Son, Joochan Park, Yongjun Park, Seonhoon Lee, Heung-Seon Oh:
MixFace: Improving Face Verification Focusing on Fine-grained Conditions. - Kim Thang Nguyen:
Competitive Algorithms for Online Weighted Bipartite Matching and its Variants. - Kamil Raczycki:
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data. - Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. - Nicholas Kantack, Nina Cohen, Nathan Bos, Corey Lowman, James Everett, Timothy Endres:
Instructive artificial intelligence (AI) for human training, assistance, and explainability. - Sadeed B. Sayed, Yang Liu, Luis J. Gomez, Abdulkadir C. Yucel:
A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis. - Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. - Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Personalized One-Shot Lipreading for an ALS Patient. - Scott C. Lowe, Thomas Trappenberg, Sageev Oore:
LogAvgExp Provides a Principled and Performant Global Pooling Operator. - Agus Sudjianto, Aijun Zhang:
Designing Inherently Interpretable Machine Learning Models. - Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea:
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. - Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran:
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. - Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud:
Meta-Learning to Improve Pre-Training. - Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela:
Universal Path Gain Laws for Common Wireless Communication Environments. - Lijie Chen, Ce Jin, R. Ryan Williams, Hongxun Wu:
Truly Low-Space Element Distinctness and Subset Sum via Pseudorandom Hash Functions. - Vladimir A. Ivanov, Konstantinos P. Michmizos:
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity. - Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu:
Two neural-network-based methods for solving obstacle problems. - Hua-Liang Wei, S. A. Billings:
Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives. - Kevin M. Silva, Kevin J. Maki:
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks. - Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. - Angela E. Kilby, Charlie Denhart:
Location inference on social media data for agile monitoring of public health crises: An application to opioid use and abuse during the Covid-19 pandemic. - Mikhail Krechetov:
Game of Life on Graphs. - Leszek Gasieniec, Benjamin Smith, Sebastian Wild:
Towards the 5/6-Density Conjecture of Pinwheel Scheduling. - Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. - Weizhe Chen, Lantao Liu:
Informative Planning in the Presence of Outliers. - Weizhe Chen, Lantao Liu:
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. - Stéphan Plassart, Jean-Yves Le Boudec:
Equivalent Versions of Total Flow Analysis. - Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtárik:
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning. - Arun Jambulapati, Yang P. Liu, Aaron Sidford:
Improved Iteration Complexities for Overconstrained p-Norm Regression. - Eduardo Mapurunga, Michel Gevers, Alexandre Sanfelice Bazanella:
Necessary and sufficient conditions for the identifiability of loops. - Alon Eden, Kira Goldner, Shuran Zheng:
Private Interdependent Valuations. - Robert Lieck, Martin Rohrmeier:
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. - Alexandre Yukio Ichida, Felipe Meneguzzi:
Detecting Logical Relation In Contract Clauses. - Jan Hückelheim, Laurent Hascoët:
Source-to-Source Automatic Differentiation of OpenMP Parallel Loops. - Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. - Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning. - John W. van Lith, Joaquin Vanschoren:
From Strings to Data Science: a Practical Framework for Automated String Handling. - Dominik Bauer, Cornelia Bauer, Arjun Lakshmipathy, Roberto Shu, Nancy S. Pollard:
Towards Very Low-Cost Iterative Prototyping for Fully Printable Dexterous Soft Robotic Hands. - Yuxin Shi, Han Yu, Cyril Leung:
A Survey of Fairness-Aware Federated Learning. - Mohammad Khajenejad, Zeyuan Jin, Sze Zheng Yong:
Resilient Interval Observer for Simultaneous Estimation of States, Modes and Attack Policies. - Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. - Edwin Ho, Arvind Rajagopalan, Alex Skvortsov, Sanjeev Arulampalam, Mahendra Piraveenan:
Game Theory in defence applications: a review. - Marlin P. Strub, Jonathan D. Gammell:
AIT* and EIT*: Asymmetric bidirectional sampling-based path planning. - Achintya Gopal, Chunho Chang:
Discovering Supply Chain Links with Augmented Intelligence. - Jianli Chen, Rajendra Adhikari, Eric Wilson, Joseph Robertson, Anthony Fontanini, Ben Polly, Opeoluwa Olawale:
Stochastic simulation of residential building occupant-driven energy use in a bottom-up model of the U.S. housing stock. - Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. - Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund:
A dataset for multi-sensor drone detection. - Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. - Javier Galbally, Fernando Alonso-Fernandez, Julian Fiérrez, Javier Ortega-Garcia:
A high performance fingerprint liveness detection method based on quality related features. - Changhao Wang, Jeffrey Bingham, Masayoshi Tomizuka:
Trajectory Splitting: A Distributed Formulation for Collision Avoiding Trajectory Optimization. - MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh, Hsin-Hao Su:
Adaptive Massively Parallel Constant-round Tree Contraction. - Di Fu, Fares Abawi, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu, Stefan Wermter:
A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. - Rhitabrat Pokharel, Dixit Bhatta:
Classifying YouTube Comments Based on Sentiment and Type of Sentence. - Guangjun Wang:
Geometrical holographic display. - Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. - Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. - Avishek Choudhury:
Predicting Cancer Using Supervised Machine Learning: Mesothelioma. - Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura:
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data. - Damla Senol Cali:
Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design. - Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. - Yong Kiam Tan, Stefan Mitsch, André Platzer:
Verifying Switched System Stability With Logic. - Ahmad Basheer Hassanat, Abeer Albustanji, Ahmad S. Tarawneh, Malek Q. Alrashidi, Hani Alharbi, Mohammed Alanazi, Mansoor Alghamdi, Ibrahim S. Alkhazi, V. B. Surya Prasath:
Deep learning for identification and face, gender, expression recognition under constraints. - Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. - Christian Hildebrand, Donna Hoffman, Tom Novak:
Dehumanizing Voice Technology: Phonetic & Experiential Consequences of Restricted Human-Machine Interaction. - Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. - Truong Son-Hy, Risi Kondor:
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. - Jiawei Wang, Lijun Sun:
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach. - Wenjun Huang, Marcus Paradies:
An Evaluation of WebAssembly and eBPF as Offloading Mechanisms in the Context of Computational Storage. - Cristóbal Ramírez Lazo:
Design and implementation of an out-of-order execution engine of floating-point arithmetic operations. - Cristóbal Ramírez Lazo, César-Alejandro Hernández-Calderón, Oscar Palomar, Osman Sabri Unsal, Marco Antonio Ramírez, Adrián Cristal:
A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures. - Mohammad Farajtabar, Mohit Biglarian, Morteza Miansari:
Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis. - David Howard, Jack O'Connor, Jordan Letchford, James Brett, Therese Joseph, Sophia Lin, Daniel Furby, Gary W. Delaney:
Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers. - Halim Lee, Sam Pullen, Jiyun Lee, Byoungwoon Park, Moonseok Yoon, Jiwon Seo:
Optimal Parameter Inflation to Enhance the Availability of Single-Frequency GBAS for Intelligent Air Transportation. - Weina Wang, Anupam Gupta, Jalani Williams:
Probing to Minimize. - Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Görür:
One Pass ImageNet. - Koshi Oishi, Yasushi Amano, Tomohiko Jimbo:
Cooperative Transportation with Multiple Aerial Robots and Decentralized Control for Unknown Payloads. - Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarially Perturbed Wavelet-based Morphed Face Generation. - Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. - Hwi Kim, Jaegun Lee, Hee-Kap Ahn:
Rectangular Partitions of a Rectilinear Polygon. - Damiano Perri, Marco Simonetti, Sergio Tasso, Federico Ragni, Osvaldo Gervasi:
Implementing a scalable and elastic computing environment based on Cloud Containers. - Francesca Santucci, Federico Frenguelli, Alessandro De Angelis, Ilaria Cuccaro, Damiano Perri, Marco Simonetti:
An immersive Open Source environment using Godot. - Damiano Perri, Marco Simonetti, Andrea Lombardi, Noelia Faginas Lago, Osvaldo Gervasi:
Binary classification of proteins by a Machine Learning approach. - Damiano Perri, Marco Simonetti, Andrea Lombardi, Noelia Faginas Lago, Osvaldo Gervasi:
A new method for binary classification of proteins with Machine Learning. - Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q.-H. Meng:
Autonomous Magnetic Navigation Framework for Active Wireless Capsule Endoscopy Inspired by Conventional Colonoscopy Procedures. - Huy Truong Dinh, Kyu-haeng Lee, Daehee Kim:
A Supervised-Learning based Hour-Ahead Demand Response of a Behavior-based HEMS approximating MILP Optimization. - Haris Aziz, Alexander Lam:
Obvious Manipulability of Voting Rules. - Ce Sun, Kui Cai, Guanghui Song, Tony Q. S. Quek, Zesong Fei:
Belief Propagation based Joint Detection and Decoding for Resistive Random Access Memories. - Linlong Xu, Baosong Yang, Xiaoyu Lv, Tianchi Bi, Dayiheng Liu, Haibo Zhang:
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval. - Guillermo Federico Umbricht, Diana Rubio:
Estimación y Análisis de Sensibilidad para el Coeficiente de Difusividad en un Problema de Conducción de Calor. - Ke Sun, Mingjie Li, Zhouchen Lin:
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. - Edward Pyne, Salil P. Vadhan:
Deterministic Approximation of Random Walks via Queries in Graphs of Unbounded Size. - Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. - Nazifa M. Shemonti, Shifat Uddin, Saifur Rahman, Tarem Ahmed, Mohammad Faisal Uddin:
Automated, real-time hospital ICU emergency signaling: A field-level implementation. - Erik Blasch, Junchi Bin, Zheng Liu:
Certifiable Artificial Intelligence Through Data Fusion. - Reza Soltani, Uyen Trang Nguyen, Aijun An:
A Survey of Self-Sovereign Identity Ecosystem. - Niaz Sharif Shourov, Masnur Rahman, Mohammad Zahirul Islam, Ali Ahsan, Syed Md Kamruzzaman, Saifur Rahman, Md Sakiluzzaman, Intisar Hasnain, Ekhwan Islam, Saiful Islam, Md. Khalilur Rhaman:
BRACU Mongol Tori: Next Generation Mars Exploration Rover. - Nan Wang, Sid Chi-Kin Chau, Yue Zhou:
Privacy-Preserving Energy Storage Sharing with Blockchain and Secure Multi-Party Computation. - Kenneth Ooi, Karn N. Watcharasupat, Santi Peksi, Furi Andi Karnapi, Zhen-Ting Ong, Danny Chua, Hui-Wen Leow, Li-Long Kwok, Xin-Lei Ng, Zhen-Ann Loh, Woon-Seng Gan:
A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context. - Jason Li, Debmalya Panigrahi:
Deterministic Min-cut in Poly-logarithmic Max-flows. - Chenguang Duan, Yuling Jiao, Yanming Lai, Xiliang Lu, Qimeng Quan, Jerry Zhijian Yang:
Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions. - Mudasir Ahmad Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Maaz Rehan, Jinjun Chen:
Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey. - Yuqi Nie, Hui Yuan:
Neural network is heterogeneous: Phase matters more. - Sia Huat Tan, Runpei Dong, Kaisheng Ma:
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. - Xinyu Huang, Yuting Fang, Stuart T. Johnston, Matthew Faria, Nan Yang, Robert Schober:
Analysis of Receiver Covered by Heterogeneous Receptors in Molecular Communications. - Jason Li, Debmalya Panigrahi:
Approximate Gomory-Hu Tree Is Faster Than n-1 Max-Flows. - Gautam Chandrasekaran, Ambuj Tewari:
Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic? - Mohsen Alambardar Meybodi, Mohammad Reza Hooshmandasl, Ali Shakiba:
W[1]-hardness of Outer Connected Dominating set in d-degenerate Graphs. - Erik Blasch, Haoran Li, Zhihao Ma, Yang Weng:
The Powerful Use of AI in the Energy Sector: Intelligent Forecasting. - Jerrold Soh:
Building Legal Datasets. - Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. - Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies:
Can We Achieve Fairness Using Semi-Supervised Learning? - Thirupathi Gudi, Gouranga Mallik, Ramesh Chandra Sau:
Finite element analysis of the Dirichlet boundary control problem governed by linear parabolic equation. - Yulong Wang, Shenghong Li, Wei Ni, David Abbott, Mark Johnson, Guangyu Pei, Mark Hedley:
Three-dimensional Cooperative Localization of Commercial-Off-The-Shelf Sensors. - Dongyue Guo, Jianwei Zhang, Bo Yang, Yi Lin:
A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches. - Mrinal Anand, Aditya Garg:
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation. - Renzhou Gui, Xiaohong Ji:
Categorical Difference and Related Brain Regions of the Attentional Blink Effect. - Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu:
Deep Point Set Resampling via Gradient Fields. - Mengshan Xie, Sheng Xu, Chengyue Su, Zu-yong Feng, Yuandian Chen, Zhenhua Shi, Jiebo Lian:
An adaptive recursive sliding mode attitude control for tiltrotor UAV in flight mode transition based on super-twisting extended state observer. - Matthew J. Katz, Micha Sharir:
Efficient algorithms for optimization problems involving distances in a point set. - Shourya Bose, Yu Zhang:
Load Restoration in Islanded Microgrids: Formulation and Solution Strategies. - Sebastian Müller, Angelo Capossele, Bartosz Kusmierz, Vivian Lin, Hans Moog, Andreas Penzkofer, Olivia Saa, William Sanders, Wolfgang Welz:
Salt-based autopeering for DLT-networks. - Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu:
Curriculum Offline Imitation Learning. - Dawei Dai, Yutang Li, Huanan Bao, Sy Xia, Guoyin Wang, Xiaoli Ma:
Rethinking the Image Feature Biases Exhibited by Deep CNN Models. - Michael Recla, Michael Schmitt:
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data. - Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu:
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. - Swarnabja Bhaumik, Prithwish Jana, Partha Pratim Mohanta:
Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems. - Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Bandits. - Chaoqun Wang, Shaobo Min, Xuejin Chen, Xiaoyan Sun, Houqiang Li:
Dual Progressive Prototype Network for Generalized Zero-Shot Learning. - Javier Hernandez-Ortega, Julian Fiérrez, Luis F. Gomez, Aythami Morales, José Luís González-de-Suso, Francisco Zamora-Martínez:
FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance. - Riccardo Chianese, Andy Nguyen, Vahidreza Gharehbaghi, Thiru Aravinthan, Mohammad N. Noori:
Influence of image noise on crack detection performance of deep convolutional neural networks. - Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma:
An Explanation of In-context Learning as Implicit Bayesian Inference. - Jian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Li Dong, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, Furu Wei:
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task. - Zhifei Li, Yan Liang, Linfeng Xu, Shuli Ma:
Distributed Extended Object Tracking Information Filter Over Sensor Networks. - Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. - Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. - Chen Zhang, João Sedoc, Luis Fernando D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Automatic Evaluation and Moderation of Open-domain Dialogue Systems. - Aditya Aradhye, Branislav Bosanský, Michael Hlavácek:
Computing Stackelberg Equilibrium with Memory in Sequential Games. - Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, Aran Komatsuzaki:
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs. - Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak:
Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies. - Michal Habera, Andreas Zilian:
Symbolic spectral decomposition of 3x3 matrices. - Ang Chen, Bifeng Song, Zhihe Wang, Dong Xue, Kang Liu:
A Novel Actuation Strategy for an Agile Bio-inspired FWAV Performing a Morphing-coupled Wingbeat Pattern. - Adarsh Srinivasan, Ayan Mahalanobis:
A McEliece cryptosystem using permutation codes. - Melissa Ailem, Jingshu Liu, Raheel Qader:
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task. - Jussi Leinonen:
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge. - Bruno Sartini, Marieke van Erp, Aldo Gangemi:
Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb. - Alexis Decurninge, Ingmar Land, Maxime Guillaud:
Tensor Decomposition Bounds for TBM-Based Massive Access. - Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella:
Predictive Auto-scaling with OpenStack Monasca. - Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang:
Efficient 3D Deep LiDAR Odometry. - András Z. Salamon, Michael Wehar:
Effective guessing has unlikely consequences. - Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Manisha, Chang-Tsun Li, Xufeng Lin, A. Kotegar Karunakar:
Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification. - Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen:
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search. - Elisabetta Cornacchia, Jan Hazla, Ido Nachum, Amir Yehudayoff:
Regularization by Misclassification in ReLU Neural Networks. - Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina:
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. - Jonas Frey, Hermann Blum, Francesco Milano, Roland Siegwart, Cesar Cadena:
Continual Learning of Semantic Segmentation using Complementary 2D-3D Data Representations. - Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. - Shir Cohen, Idit Keidar, Oded Naor:
Byzantine Agreement with Less Communication: Recent Advances. - Michal Cholewa, Michal Romaszewski, Przemyslaw Glomb:
Heuristical choice of SVM parameters. - Shohei Fujii, Quang-Cuong Pham:
Realtime Trajectory Smoothing with Neural Nets. - Keyu Li, Yangxin Xu, Jian Wang, Dong Ni, Li Liu, Max Q.-H. Meng:
Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework. - Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren:
The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning. - Jonas Berg Hansen, Stian Normann Anfinsen, Filippo Maria Bianchi:
Power Flow Balancing with Decentralized Graph Neural Networks. - Ziwang Fu, Feng Liu, Hanyang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li:
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition. - Nils Müller, Carsten Heinrich, Kai Heussen, Henrik W. Bindner:
Unsupervised detection and open-set classification of fast-ramped flexibility activation events. - Diego Porres:
Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks. - Thiago B. Burghi, Rodolphe Sepulchre:
Online estimation of biophysical neural networks. - Tali Kaufman, Rasmus Kyng, Federico Soldà:
Scalar and Matrix Chernoff Bounds from 𝓁∞-Independence. - Giovanni Perin, Francesca Meneghello, Ruggero Carli, Luca Schenato, Michele Rossi:
EASE: Energy-Aware job Scheduling for vehicular Edge networks with renewable energy resources. - Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities. - Ehsan Tavan, Ali Rahmati, Maryam Najafi, Saeed Bibak, Zahed Rahmati:
BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching. - Zhengyan Li, Yicheng Zou, Chong Zhang, Qi Zhang, Zhongyu Wei:
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training. - Chris Aronis:
The Algorithmic Complexity of Tree-Clique Width. - Irving G. B. Petrazzini, Eric A. Antonelo:
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution. - Youshan Zhang, Brian D. Davison:
Deep Least Squares Alignment for Unsupervised Domain Adaptation. - Giovanni Barbarino, Vanni Noferini, Paul Van Dooren:
On role extraction for digraphs via neighbourhood pattern similarity. - Ali Nouruzi, Abolfazl Zakeri, Mohammad Reza Javan, Nader Mokari, Rasheed Hussain, Ahsan Syed Kazmi:
Online Service Provisioning in NFV-enabled Networks Using Deep Reinforcement Learning. - Luan Vinícius Fiorio, Chrystian Lenon Remes, Yales Rômulo de Novaes:
A swarm intelligence-based robust solution for Virtual Reference Feedback Tuning. - Yifei Shen, Jun Zhang, Khaled B. Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? - Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Kory W. Mathewson, Jürgen Schmidhuber:
Automatic Embedding of Stories Into Collections of Independent Media. - Rafael Rodrigues da Silva, Vince Kurtz, Hai Lin:
Active Perception and Control from PrSTL Specifications. - Waldo Gálvez, Francisco Sanhueza-Matamala, José A. Soto:
Approximation Algorithms for Vertex-Connectivity Augmentation on the Cycle. - Sven Hertling, Heiko Paulheim:
Order Matters: Matching Multiple Knowledge Graphs. - Ouren X. Kuiper, Martin van den Berg, Joost van der Burgt, Stefan Leijnen:
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities. - Asif Ali Khan, Sébastien Ollivier, Stephen Longofono, Gerald Hempel, Jerónimo Castrillón, Alex K. Jones:
Brain-inspired Cognition in Next Generation Racetrack Memories. - Yousra Hafidi, Jeroen J. A. Keiren, Jan Friso Groote:
Fair Mutual Exclusion for N Processes (extended version). - Antonio Russo, Antonio Fernández Anta, María Isabel González Vasco, Simon Pietro Romano:
Chirotonia: A Scalable and Secure e-Voting Framework based on Blockchains and Linkable Ring Signatures. - Gerhard Hagerer, Wing Sheung Leung, Qiaoxi Liu, Hannah Danner, Georg Groh:
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining. - Kritika Venkatachalam, Raghava Mutharaju, Sumit Bhatia:
SERC: Syntactic and Semantic Sequence based Event Relation Classification. - Liang Wang, Prateek Mittal, Jennifer Rexford:
Data-Plane Security Applications in Adversarial Settings. - Malte Breuer, Ulrike Meyer, Susanne Wetzel:
Introducing a Framework to Enable Anonymous Secure Multi-Party Computation in Practice. - Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer:
Convolutional Motif Kernel Networks. - Willams L. Costa, David Macêdo, Cleber Zanchettin, Lucas Silva Figueiredo, Veronica Teichrieb:
Multi-Cue Adaptive Emotion Recognition Network. - Neea Tuomainen, David Blanco Mulero, Ville Kyrki:
Manipulation of granular materials by learning particle interactions. - Andrew Jesson, Panagiotis Tigas, Joost van Amersfoort, Andreas Kirsch, Uri Shalit, Yarin Gal:
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data. - Diancheng Li, Dongliang Fan, Renjie Zhu, Qiaozhi Lei, Yuxuan Liao, Xin Yang, Yang Pan, Zheng Wang, Yang Wu, Sicong Liu, Hongqiang Wang:
Origami-inspired soft twisting actuator. - Jacob Focke, Marc Roth:
Counting Small Induced Subgraphs with Hereditary Properties. - Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli:
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. - Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright:
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks. - Rachel Redberg, Yu-Xiang Wang:
Privately Publishable Per-instance Privacy. - Xinyi Yu, Siyu Xu, Yuehai Fan, Linlin Ou:
A Self-adaptive LSAC-PID Approach based on Lyapunov Reward Shaping for Mobile Robots. - Guang Lin, Zecheng Zhang, Zhidong Zhang:
Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements. - Hamidreza Kamkari, Andreas Karrenbauer, Mohammadamin Sharifi:
Physarum Inspired Dynamics to Solve Semi-Definite Programs. - Andreas Emil Feldmann, Anish Mukherjee, Erik Jan van Leeuwen:
The Parameterized Complexity of the Survivable Network Design Problem. - Sevag Gharibian, Dorian Rudolph:
On polynomially many queries to NP or QMA oracles. - Anastasia Avdeeva, Aleksei Gusev, Igor Korsunov, Alexander Kozlov, Galina Lavrentyeva, Sergey Novoselov, Timur Pekhovsky, Andrey Shulipa, Alisa Vinogradova, Vladimir Volokhov, Evgeny Smirnov, Vasiliy Galyuk:
STC speaker recognition systems for the NIST SRE 2021. - Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta:
On the Effectiveness of Interpretable Feedforward Neural Network. - Osama R. Shahin, Zeinab M. Abdel Azim, Ahmed I. Taloba:
Maneuvering Digital Watermarking In Face Recognition. - Muhammed Emrullah Ildiz, Orhan Tahir Yavascan, Elif Uysal, Özkan Tugberk Kartal:
Pull or Wait: How to Optimize Query Age of Information. - Paola F. Antonietti, Michele Botti, Ilario Mazzieri:
On mathematical and numerical modelling of multiphysics wave propagation with polytopal Discontinuous Galerkin methods. - Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online Learning of Energy Consumption for Navigation of Electric Vehicles. - Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin:
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration. - Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur:
Smells in System User Interactive Tests. - Mingmou Liu:
Nearly Tight Lower Bounds for Succinct Range Minimum Query. - Rashmi Bakshi:
A Comparison of Deep Learning Models for the Prediction of Hand Hygiene Videos. - Geraldo F. Oliveira, Saugata Ghose, Juan Gómez-Luna, Amirali Boroumand, Alexis Savery, Sonny Rao, Salman Qazi, Gwendal Grignou, Rahul Thakur, Eric Shiu, Onur Mutlu:
Extending Memory Capacity in Consumer Devices with Emerging Non-Volatile Memory: An Experimental Study. - Gerhard Hagerer, Dávid Szabó, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh:
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis. - Amr Gomaa, Guillermo Reyes, Michael Feld:
ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle. - Anibal Sanjab, Yuting Mou, Ana Virag, Kris Kessels:
A Linear Model for Distributed Flexibility Markets and DLMPs: A Comparison with the SOCP Formulation. - Sahil Loomba, Nick S. Jones:
Geodesic statistics for random network families. - Erh-Chung Chen, Che-Rung Lee:
LTD: Low Temperature Distillation for Robust Adversarial Training. - Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli:
HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. - Dvir Fried, Shay Golan, Tomasz Kociumaka, Tsvi Kopelowitz, Ely Porat, Tatiana Starikovskaya:
An Improved Algorithm for The k-Dyck Edit Distance Problem. - Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer:
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity. - Marko Stamenovic, Nils L. Westhausen, Li-Chia Yang, Carl Jensen, Alex Pawlicki:
Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators. - Seokjun Kim, Jaeeun Jang, Yeonju Jang, Seongyune Choi, Hyeoncheol Kim:
Associational Memory Networks. - Sapana Chaudhary, Balaraman Ravindran:
Smooth Imitation Learning via Smooth Costs and Smooth Policies. - Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang:
Why Stable Learning Works? A Theory of Covariate Shift Generalization. - Eugene Bagdasaryan, Peter Kairouz, Stefan Mellem, Adrià Gascón, Kallista A. Bonawitz, Deborah Estrin, Marco Gruteser:
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation. - Fernando Jiménez, Gracia Sánchez, José Palma, Luis Miralles-Pechuán, Juan A. Botía:
Multivariate feature ranking of gene expression data. - Wenhui Wang, Hangbo Bao, Li Dong, Furu Wei:
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts. - Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea:
SVD-Embedded Deep Autoencoder for MIMO Communications. - Adrian Bulat, Enrique Sanchez, Georgios Tzimiropoulos:
Subpixel Heatmap Regression for Facial Landmark Localization. - Ruoxu Cen, Jason Li, Debmalya Panigrahi:
Augmenting Edge Connectivity via Isolating Cuts. - Hamzeh Motahari Khansari, Mehrnoush Shamsfard:
HmBlogs: A big general Persian corpus. - Sakshyam Panda, Stefan Rass, Sotiris Moschoyiannis, Kaitai Liang, George Loukas, Emmanouil Panaousis:
HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles. - Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen, Ming-Hsuan Yang:
Video Salient Object Detection via Contrastive Features and Attention Modules. - Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry:
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. - Gopi Krishnan Rajbahadur, Erika Tuck, Li Zi, Zhang Wei, Dayi Lin, Boyuan Chen, Zhen Ming Jiang, Daniel Morales German:
Can I use this publicly available dataset to build commercial AI software? Most likely not. - Erik Larsen, Korey MacVittie, John Lilly:
Virus-MNIST: Machine Learning Baseline Calculations for Image Classification. - Erik Larsen, Korey MacVittie, John Lilly:
Intrusion Detection: Machine Learning Baseline Calculations for Image Classification. - Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. - Erik Larsen, Korey MacVittie, John Lilly:
A Survey of Machine Learning Algorithms for Detecting Malware in IoT Firmware. - Zhe Chen, Wenhai Wang, Enze Xie, Zhibo Yang, Tong Lu, Ping Luo:
FAST: Searching for a Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation. - Qisheng He, Ming Dong, Loren Schwiebert, Weisong Shi:
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach. - Tianbao Yang:
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities. - Piotr Gramacki:
Unsupervised embedding and similarity detection of microregions using public transport schedules. - Greg Ver Steeg, Aram Galstyan:
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling. - Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. - John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. - Katja Schwarz, Yiyi Liao, Andreas Geiger:
On the Frequency Bias of Generative Models. - Kim Youwang, Ji-Yeon Kim, Kyungdon Joo, Tae-Hyun Oh:
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise. - Chen Ling, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini:
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos. - Satrio Baskoro Yudhoatmojo, Emiliano De Cristofaro, Jeremy Blackburn:
"We won't even challenge their lefty academic definition of racist: " Understanding the Use of e-Prints on Reddit and 4chan. - Yves Stauffer, Fabio Saba, Rafael E. Carrillo, Max Boegli, Andrea Malengo, Andreas Hutter:
Smart sensors network for accurate indirect heat accounting in apartment buildings. - Santiago R. Balseiro, Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Robust Auction Design in the Auto-bidding World. - Dominik Köppl, Gonzalo Navarro, Nicola Prezza:
HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances. - Jarno Alanko, Nicola Cotumaccio, Nicola Prezza:
Linear-time Minimization of Wheeler DFAs. - Soo-Yee Lim, Bogdan Stelea, Xueyuan Han, Thomas F. J.-M. Pasquier:
Secure Namespaced Kernel Audit for Containers. - Guang Lin, Christian Moya, Zecheng Zhang:
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs. - Jun-Liang Lin, Sheng-De Wang:
Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices. - David Poulton, Richard Klein:
Improving Pose Estimation through Contextual Activity Fusion. - James Flamino, Alessandro Galezzi, Stuart I. Feldman, Michael W. Macy, Brendan Cross, Zhenkun Zhou, Matteo Serafino, Alexandre Bovet, Hernán A. Makse, Boleslaw K. Szymanski:
Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections. - Li Bao, Lingling Fan, Zhixin Miao:
Real-Time Simulation of Level 1, Level 2, and Level 3 Electric Vehicle Charging Systems. - Iddo Drori, Yamuna Krishnamurthy, Rémi Rampin, Raoni de Paula Lourenço, Jorge Piazentin Ono, Kyunghyun Cho, Cláudio T. Silva, Juliana Freire:
AlphaD3M: Machine Learning Pipeline Synthesis. - Hao Song, Lingjia Liu, Bodong Shang, Scott Pudlewski, Elizabeth Serena Bentley:
Clustering-based Multicast Scheme for UAV Networks. - Yakov Berchenko-Kogan, Evan S. Gawlik:
Finite element approximation of the Levi-Civita connection and its curvature in two dimensions. - Shovan Chowdhury, Yuxiao Lin, Boryann Liaw, Leslie M. Kerby:
Evaluation of Tree Based Regression over Multiple Linear Regression for Non-normally Distributed Data in Battery Performance. - Thomas Choi, Masaaki Ito, Issei Kanno, Jorge Gomez-Ponce, Colton Bullard, Takeo Ohseki, Kosuke Yamazaki, Andreas F. Molisch:
Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel. - Juraj Juraska, Kevin K. Bowden, Lena Reed, Vrindavan Harrison, Wen Cui, Omkar Patil, Rishi Rajasekaran, Angela Ramirez, Cecilia Li, Eduardo Zamora, Phillip Lee, Jeshwanth Bheemanpally, Rohan Pandey, Adwait Ratnaparkhi, Marilyn A. Walker:
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot. - Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. - Ruiliang Gao, Sergei Kurenov, Erik W. Black, Jörg Peters:
Adding Safety Rules to Surgeon-Authored VR Training. - Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Giorgos Giotis, Gaurav Garg:
TOSCAdata: Modelling data pipeline applications in TOSCA. - Theodore James Thibault Heiser, Mari-Liis Allikivi, Meelis Kull:
Shift Happens: Adjusting Classifiers. - Hibatallah Alwazani, Qurrat-Ul-Ain Nadeem, Anas Chaaban:
Performance Analysis under IRS-User Association for Distributed IRSs Assisted MISO Systems. - Shi Jin, Zheng Ma, Keke Wu:
Asymptotic-Preserving Neural Networks for Multiscale Time-Dependent Linear Transport Equations. - Imran Hayat, George Ilhwan Park:
Numerical implementation of efficient grid-free integral wall models in unstructured-grid LES solvers. - Marvin Künnemann, André Nusser:
Polygon Placement Revisited: (Degree of Freedom + 1)-SUM Hardness and an Improvement via Offline Dynamic Rectangle Union. - Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song:
Multi-task Learning of Order-Consistent Causal Graphs. - Victoria Hernández-Mederos, Eduardo Moreno Hernández, Jorge Estrada-Sarlabous, Isidro A. Abelló Ugalde, Domenico Lahaye:
Isogeometric simulation of acoustic radiation. - Jennifer Hamblin, Kshitij Nikhal, Benjamin S. Riggan:
Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition. - John D. Haiducek, Thom R. Edwards, Wade Duvall, Sarah R. Cannon, Kai Germaschewski, Jason E. Kooi:
Recommendations to clarify NASA open source requirements. - Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. - Jiaqi Xu, Elijah Wyckoff, John-Wesley Hanson, Fernando Moreu, Derek Doyle:
Implementing augmented reality technology to measure structural changes across time. - Rodrigue Siry:
A Meta-Learned Neuron model for Continual Learning. - Emmanuel Lorin, Xu Yang:
Schwarz Waveform Relaxation Physics-Informed Neural Networks for Solving Advection-Diffusion-Reaction Equations. - Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. - Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. - Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, Junichiro Ooga, Haifeng Han, Atsushi Sugahara, Seiji Tokura, Haruna Eto, Kazuma Komoda, Akihito Ogawa:
Learning suction graspability considering grasp quality and robot reachability for bin-picking. - Zachary Friggstad, Ramin Mousavi:
A Constant-Factor Approximation for Quasi-bipartite Directed Steiner Tree on Minor-Free Graphs. - Mehrad Moradshahi, Victoria Tsai, Giovanni Campagna, Monica S. Lam:
Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues. - Toshimasa Ishii, Jun Kawahara, Kazuhisa Makino, Hirotaka Ono:
Reallocation Problems with Minimum Completion Time. - Ibrahim Abdulhafiz, Ali A. Nazari, Taha Abbasi-Hashemi, Amir Jalali, Kourosh Zareinia, Sajad Saeedi, Farrokh Janabi-Sharifi:
Deep Direct Visual Servoing of Tendon-Driven Continuum Robots. - Shuai Ma, Fan Zhang, Songtao Lu, Hang Li, Ruixin Yang, Sihua Shao, Jiaheng Wang, Shiyin Li:
Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks. - Karthik Garimella, Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale. - Samurdhi Karunaratne, Samer S. Hanna, Danijela Cabric:
Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval. - Yu-Wen Chen, Yu Tsao:
InQSS: a speech intelligibility assessment model using a multi-task learning network. - Junshi Xia, Naoto Yokoya, Bruno Adriano:
Building Damage Mapping with Self-PositiveUnlabeled Learning. - Omrit Filtser, Majid Mirzanezhad, Carola Wenk:
Minimum-Complexity Graph Simplification under Fréchet-Like Distances. - Xian Li, Suzhi Bi, Yuan Zheng, Hui Wang:
Energy-Efficient Online Data Sensing and Processing in Wireless Powered Edge Computing Systems. - Wei Dong, Ke Yi:
Universal Private Estimators. - Monica Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David A. Sontag:
Leveraging Time Irreversibility with Order-Contrastive Pre-training. - Kanishka Misra:
On Semantic Cognition, Inductive Generalization, and Language Models. - Tanuja Patanshetti, Ashish Anil Pawar, Disha Patel, Sanket Thakare:
Auto Tuning of Hadoop and Spark parameters. - Rafael Pastrana, Patrick Ole Ohlbrock, Thomas Oberbichler, Pierluigi D'Acunto, Stefana Parascho:
Constrained Form-Finding of Tension-Compression Structures using Automatic Differentiation. - Yiran Luo, You Li, Jin Wang, Naser El-Sheimy:
Supporting GNSS Baseband Using Smartphone IMU and Ultra-Tight Integration. - Mahdi Belbasi, Martin Fürer:
Finding All Leftmost Separators of Size ≤k. - Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos, Graham Neubig:
Lexically Aware Semi-Supervised Learning for OCR Post-Correction. - Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. - Donghoon Shin, Sachin Grover, Kenneth Holstein, Adam Perer:
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment. - Ali Anaissi, Basem Suleiman:
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection. - Junyao Kuang, Caterina M. Scoglio:
Network Structure and Feature Learning from Rich but Noisy Data. - Alexander Goncharov, Yaman Paksoy:
Lebesgue Constants For Cantor Sets. - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification. - Zhifeng Tang, Nan Yang, Parastoo Sadeghi, Xiangyun Zhou:
The Age of Information of Short-Packet Communications: Joint or Distributed Encoding? - Zheng Zhang, Jian Chen, Yuanwei Liu, Qingqing Wu, Bingtao He, Long Yang:
On the Secrecy Design of STAR-RIS assisted Uplink NOMA Networks. - Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee:
Response Generation with Context-Aware Prompt Learning. - Vivek S. Borkar, Siddharth Chandak, Harsh Dolhare:
A Concentration Bound for LSPE(λ). - Martin Saveski, Doug Beeferman, David McClure, Deb Roy:
Engaging Politically Diverse Audiences on Social Media. - Chih-Hong Cheng, Tobias Schuster, Simon Burton:
Logically Sound Arguments for the Effectiveness of ML Safety Measures. - Muhammad Shafay, Taimur Hassan, Ernesto Damiani, Naoufel Werghi:
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats. - Peng Fan, Dongyue Guo, Yi Lin, Bo Yang, Jianwei Zhang:
Speech recognition for air traffic control via feature learning and end-to-end training. - Zhigang Wang, Ye Deng, Zeng-Ru Di, Jun Wu:
Cost-effective Network Disintegration through Targeted Enumeration. - Soh Kumabe, Yuichi Yoshida:
Average Sensitivity of Dynamic Programming. - Akansel Cosgun:
Speed Maps: An Application to Guide Robots in Human Environments. - Wensheng Zhang, Trent Muhr:
TEE-based Selective Testing of Local Workers in Federated Learning Systems. - Yu Geng, Ren-Meng Cao, Xiao-Pu Han, Wen-Can Tian, Guang-Yao Zhang, Xiang-Wen Wang:
Scientists are Working Overtime and at the Weekends: Comparison of Publication Downloading from Copyrighted and Pirated Platforms. - WeiFu Fu, Congchong Nie, Ting Sun, Jun Liu, Tianliang Zhang, Yong Liu:
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation. - Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. - Alberto Bemporad:
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering. - Xiaoyang Guo, Tianhao Zhao, Yutian Lin, Bo Du:
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning. - Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent:
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. - Nikolaos Stylianou, Ioannis P. Vlahavas:
CoreLM: Coreference-aware Language Model Fine-Tuning. - Tomoyuki Yamakami:
The No Endmarker Theorem for One-Way Probabilistic Pushdown Automata. - Dolores Barrios Rolanía, Juan Carlos García-Ardila:
A note on banded linear systems. - Aliaksei L. Petsiuk, Joshua M. Pearce:
Towards Smart Monitored AM: Open Source in-Situ Layer-wise 3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine. - Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola:
Benchmarking Multimodal AutoML for Tabular Data with Text Fields. - Jan Friso Groote, Maurice Laveaux, P. H. M. van Spaendonck:
A thread-safe Term Library. - Xu Chen, Erik G. Larsson, Kaibin Huang:
Analog MIMO Communication for One-shot Distributed Principal Component Analysis. - Panagiotis Tzirakis, Dénes Boros, Elnar Hajiyev, Björn W. Schuller:
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments. - Geoffrey Ramseyer, Ashish Goel, David Mazières:
SPEEDEX: A Scalable, Parallelizable, and Economically Efficient Digital EXchange. - Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen, Lei Shu:
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model. - Befekadu Gezaheng Gebraselase, Bjarne E. Helvik, Yuming Jiang:
Effect of Miner Incentive on the Confirmation Time of Bitcoin Transactions. - Chinmaya Kumar Dehury, Prasan Kumar Sahoo:
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks. - Hugues Moreau, Andréa Vassilev, Liming Chen:
When Neural Networks Using Different Sensors Create Similar Features. - Yingzhi Wang, Abdelmoumene Boumadane, Abdelwahab Heba:
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding. - Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais:
Deep Learning Methods for Daily Wildfire Danger Forecasting. - Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo:
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions. - Jihyeon Kim, Jinkyung Kim, Jaeyoung Choi:
Sequential Movie Genre Prediction using Average Transition Probability with Clustering. - Ding Li, Rui Wu, Yongqiang Tang, Zhizhong Zhang, Wensheng Zhang:
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval. - Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki:
Label Ranking through Nonparametric Regression. - Wei Gan, Jian Xue, Ke Lu, Yanfu Yan, Pengcheng Gao, Jiayi Lyu:
FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation. - Fedor V. Fomin, Petr A. Golovach, Ignasi Sau, Giannos Stamoulis, Dimitrios M. Thilikos:
Compound Logics for Modification Problems. - Muhammad Rifki Kurniawan, Xing Wei, Yihong Gong:
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay - 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification. - Sunyoung Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches. - Jesús Santamaría:
Medicines Question Answering System, MeQA. - Giovanni Barbarino, Antonio Cicone:
Stabilization and Variations to the Adaptive Local Iterative Filtering Algorithm: the Fast Resampled Iterative Filtering Method. - Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphaël Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev:
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning. - Joshua Alspector:
Representation Edit Distance as a Measure of Novelty. - Feifei Shi, Huansheng Ning, Sahraoui Dhelim:
A Tutorial of Cyber-Syndrome viewed from Cyber-Physical-Social-Thinking Space and Maslow's Hierarchy of Needs. - Marius-F. Danca:
Fractional order logistic map; Numerical approach. - IengHou U., Yuqian Bai, QiFan Luo:
Rapid wildfire response system based on drones. - Xiaoying Dai, Liwei Zhang, Aihui Zhou:
Convergent and orthogonality preserving schemes for approximating the Kohn-Sham orbitals. - Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias:
Flood forecasting with machine learning models in an operational framework. - Kai Diethelm:
Fast Solution Methods for Fractional Differential Equations in the Modeling of Viscoelastic Materials. - Nan Feng, Guodong Zhang, Kapil Khandelwal:
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics. - Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. - Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi:
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. - Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection. - Li-Li Wang, Ming-Hui Ding, Guang-Hui Zheng:
A general fractional total variation-Gaussian (GFTG) prior for Bayesian inverse problems. - Jeremy Yu, Lu Lu, Xuhui Meng, George Em Karniadakis:
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems. - Luciano da F. Costa:
On Similarity. - Mohammad Arani, Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Xian Liu:
A Two-Stage Stochastic Programming Model for Blood Supply Chain Management, Considering Facility Disruption and Service Level. - Marcel Sarstedt, Lutz Hofmann:
Monetarization of the Feasible Operation Region based on a Cost-Optimal Flexibility Disaggregation. - Joel Frank, Lea Schönherr:
WaveFake: A Data Set to Facilitate Audio Deepfake Detection. - Flavia Caforio, Pierpaolo Iannicelli, Michele Paolino, Daniel Raho:
VOSySmonitoRV: a mixed-criticality solution on Linux-capable RISC-V platforms. - Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis:
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. - Kuize Zhang:
A unified concurrent-composition method to state/event inference and concealment in discrete-event systems. - Bettina Berendt, Stefan Schiffner:
Whistleblower protection in the digital age - why 'anonymous' is not enough. Towards an interdisciplinary view of ethical dilemmas. - Kevin Eloff, Arnu Pretorius, Okko Räsänen, Herman A. Engelbrecht, Herman Kamper:
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel. - Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Cameron Browne:
Optimised Playout Implementations for the Ludii General Game System. - Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. - Tan Huang:
A text autoencoder from transformer for fast encoding language representation. - Ao Qu, Yihong Tang, Wei Ma:
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles. - Xiaohui Yang, Zheng Wang, Huan Wu, Licheng Jiao, Yiming Xu, Haolin Chen:
Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification. - Rik van Leeuwen, Ger Koole:
Data-Driven Market Segmentation in Hospitality Using Unsupervised Machine Learning. - Guodong Li, Min Ye, Sihuang Hu:
A Dynamic Programming Method to Construct Polar Codes with Improved Performance. - Iram Arshad, Saeed Hamood Alsamhi, Wasif Afzal:
Big Data Testing Techniques: Taxonomy, Challenges and Future Trends. - Aaron K. Baughman, Daniel Bohm, Micah Forster, Eduardo Morales, Jeff Powell, Shaun McPartlin, Raja Hebbar, Kavitha Yogaraj, Yoshika Chhabra, Sudeep Ghosh, Rukhsan Ul Haq, Arjun Kashyap:
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades. - Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu:
Parameterized Knowledge Transfer for Personalized Federated Learning. - Kwang In Kim, James Tompkin:
Testing using Privileged Information by Adapting Features with Statistical Dependence. - Enrico Bassetti, Emanuele Panizzi:
Earthquake detection at the edge: IoT crowdsensing network. - Nikite Mesvan:
Extended Abstract Version: CNN-based Human Detection System for UAVs in Search and Rescue. - Aaron K. Baughman, Micah Forester, Jeff Powell, Eduardo Morales, Shaun McPartlin, Daniel Bohm:
Deep Artificial Intelligence for Fantasy Football Language Understanding. - Matthias Gallé, Jos Rozen, Germán Kruszewski, Hady Elsahar:
Unsupervised and Distributional Detection of Machine-Generated Text. - Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Defining Gaze Patterns for Process Model Literacy - Exploring Visual Routines in Process Models with Diverse Mappings. - Vivek Saraswat, Udayan Ganguly:
Stochasticity Invariance Control in Pr1-xCaxMnO3 RRAM to enable Large-Scale Stochastic Recurrent Neural Networks. - Mohammed Alloulah, Akash Deep Singh, Maximilian Arnold:
Self-Supervised Radio-Visual Representation Learning for 6G Sensing. - Tobias Ringwald, Rainer Stiefelhagen:
Certainty Volume Prediction for Unsupervised Domain Adaptation. - Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega:
Model-Free Risk-Sensitive Reinforcement Learning. - Nour G. Al Hassanieh, Jeffrey W. Banks, William D. Henshaw, Donald W. Schwendeman:
Local Compatibility Boundary Conditions for High-Order Accurate Finite-Difference Approximations of PDEs. - Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa:
A Unified View of Relational Deep Learning for Drug Pair Scoring. - Yuan Wang, Chen Gong, Zhengyuan Xu:
Map-Assisted Power Allocation and Constellation Design for mmWave WDM with OAM in Short-Range LOS Environment. - Philine Lou Bommer, Daniel Kramer, Carlo Tombolini, Georgia Koppe, Daniel Durstewitz:
Identifying nonlinear dynamical systems from multi-modal time series data. - Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin:
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion. - Sindre Benjamin Remman, Inga Strümke, Anastasios M. Lekkas:
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. - Yuandong Cyrus Liu, Ton-Chanh Le, Eric Koskinen:
Source-Level Bitwise Branching for Temporal Verification. - Rafael Rodrigues da Silva, Kunal Yadav, Hai Lin:
idSTLPy: A Python Toolbox for Active Perception and Control. - Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao:
Variational Inference with Holder Bounds. - Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao:
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. - Rohan Chandra, Aniket Bera, Dinesh Manocha:
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior. - Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel:
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers. - Zongxia Li, William Gasarch:
An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm. - Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. - Daofei Li, Ao Liu, Hao Pan, Wentao Chen:
Game-based decision algorithm for socially compatible automated driving: a case study of unsignalized intersection driving. - Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh:
Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization. - (Withdrawn) A QoE Model in Point Cloud Video Streaming.
- Siddharth Rout, Vikas Dwivedi, Balaji Srinivasan:
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning. - Andreas Björklund, Thore Husfeldt, Petteri Kaski:
The Shortest Even Cycle Problem is Tractable. - Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano:
Towards an Understanding of Default Policies in Multitask Policy Optimization. - Vít Ruzicka, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi:
Unsupervised Change Detection of Extreme Events Using ML On-Board. - Shangtong Zhang, Remi Tachet des Combes, Romain Laroche:
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. - Maciej Zielenkiewicz:
Small model property reflects in games and automata. - Manuel A. Borroto Santana, Francesco Ricca, Bernardo Cuteri:
Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries. - Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. - Daniel Allendorf, Ulrich Meyer, Manuel Penschuck, Hung Tran:
Parallel Global Edge Switching for the Uniform Sampling of Simple Graphs with Prescribed Degrees. - Sergej Schumilo, Cornelius Aschermann, Andrea Jemmett, Ali Abbasi, Thorsten Holz:
Nyx-Net: Network Fuzzing with Incremental Snapshots. - Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou:
Modeling Techniques for Machine Learning Fairness: A Survey. - Josh Gardner, Ian Simon, Ethan Manilow, Curtis Hawthorne, Jesse H. Engel:
MT3: Multi-Task Multitrack Music Transcription. - Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel:
B-Pref: Benchmarking Preference-Based Reinforcement Learning. - Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco:
An Interpretable Graph Generative Model with Heterophily. - Charlie Carlson, Ewan Davies, Alexandra Kolla, Will Perkins:
Computational thresholds for the fixed-magnetization Ising model. - Sainan Liu, Vincent Nguyen, Yuan Gao, Subarna Tripathi, Zhuowen Tu:
Towards Panoptic 3D Parsing for Single Image in the Wild. - Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. - Tao Chen, Jie Xu, Pulkit Agrawal:
A System for General In-Hand Object Re-Orientation. - Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy:
A Unified Approach to Coreset Learning. - Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Introduction to Coresets: Approximated Mean. - Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim:
Imagine Networks. - Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. - Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Engagement Decision Support for Beyond Visual Range Air Combat. - Wenlong Huang, Igor Mordatch, Pieter Abbeel, Deepak Pathak:
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning. - Yuxin Meng, Eric Rigall, Xueen Chen, Feng Gao, Junyu Dong, Sheng Chen:
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction. - Heejin Park, Felix Xiaozhu Lin:
Safe and Practical GPU Acceleration in TrustZone. - Andrew Smith, Hardik Anand, Snezana Milosavljevic, Katherine M. Rentschler, Ana Pocivavsek, Homayoun Valafar:
Application of Machine Learning to Sleep Stage Classification. - Kateryna Zorina, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. - Rinat Aynulin, Pavel Chebotarev:
Measuring Proximity in Attributed Networks for Community Detection. - Feng Liu, Xiaoming Liu:
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image. - Motasem S. Alsawadi, Miguel Rio:
Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion. - D. Anthony Bau, Jacob Andreas:
How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction. - David Emukpere, Xavier Alameda-Pineda, Chris Reinke:
Successor Feature Neural Episodic Control. - Róbert Szász, Mike Allenspach, Minghao Han, Marco Tognon, Robert K. Katzschmann:
Modeling and Control of an Omnidirectional Micro Aerial Vehicle Equipped with a Soft Robotic Arm. - Ivan Kapelyukh, Edward Johns:
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. - Massimo Bartoletti, Maurizio Murgia, Roberto Zunino:
A Sound Up-to-$n$, $δ$ Bisimilarity for PCTL. - Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan:
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. - Yiftach Savransky, Roni Mateless, Gilad Katz:
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution. - Kyongmin Yeo, Zan Li, Wesley M. Gifford:
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System. - Milad Niknejad, Alexandre Bernardino:
Attention on Classification for Fire Segmentation. - Peter Schaldenbrand, Zhixuan Liu, Jean Oh:
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis. - Maya Burhanpurkar, Zhun Deng, Cynthia Dwork, Linjun Zhang:
Scaffolding Sets. - Abhinav Agrawal, Justin Domke:
Amortized Variational Inference for Simple Hierarchical Models. - M. Mehdi Afsar, Eric Park, Étienne Paquette, Gauthier Gidel, Kory W. Mathewson, Eilif B. Muller:
Generating Diverse Realistic Laughter for Interactive Art. - Carlos Pupiales, Daniela Laselva, Quentin De Coninck, Akshay Jain, Ilker Demirkol:
Multi-Connectivity in Mobile Networks: Challenges and Benefits. - Hao Chung, Elaine Shi:
Foundations of Transaction Fee Mechanism Design. - Eric Neyman, Tim Roughgarden:
Are You Smarter Than a Random Expert? The Robust Aggregation of Substitutable Signals. - Nicolas Harrand, Thomas Durieux, David Broman, Benoit Baudry:
Automatic Diversity in the Software Supply Chain. - Zahra Aminzare:
Stochastic Logarithmic Lipschitz Constants: A Tool to Analyze Contractivity of Stochastic Differential Equations. - Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng, Pratik Worah:
Pricing Query Complexity of Revenue Maximization. - Helge Spieker, Arnaud Gotlieb:
Predictive Machine Learning of Objective Boundaries for Solving COPs. - Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein:
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. - Yingbo Hua, Ahmed Maksud:
Continuous Encryption Functions for Security Over Networks. - Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger:
Infinite Time Horizon Safety of Bayesian Neural Networks. - Xander Vankwikelberge, Bo Kang, Edith Heiter, Jefrey Lijffijt:
ExClus: Explainable Clustering on Low-dimensional Data Representations. - Ruijie Jiang, Prakash Ishwar, Shuchin Aeron:
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. - Daniel Dadush, Haotian Jiang, Victor Reis:
A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent. - Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser:
Single-Sample Prophet Inequalities via Greedy-Ordered Selection. - Zhuofu Tao, Chen Wu, Yuan Liang, Lei He:
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator. - Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. - Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. - Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. - Chen Greif, Yunhui He:
A closed-form multigrid smoothing factor for an additive Vanka-type smoother applied to the Poisson equation. - Chen Greif, Yunhui He:
A note on using the mass matrix as a preconditioner for the Poisson equation. - Konstantin Makarychev, Liren Shan:
Explainable k-means. Don't be greedy, plant bigger trees! - Bowen Deng, Andrew P. French, Michael P. Pound:
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies. - Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy:
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. - Xi Chen, Binghui Peng:
On the Complexity of Dynamic Submodular Maximization. - Ehsan Mikaeili, Susanne Claus, Pierre Kerfriden:
A mixed concurrent multiscale method via CutFEM technology. - Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner:
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models. - Enpeng Yuan, Pascal Van Hentenryck:
Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions. - Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh:
LILA: Language-Informed Latent Actions. - Hussain Sarwar Khan, Ihab S. Mohamed, Kimmo Kauhaniemi, Lantao Liu:
Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications. - Yu Kawano:
Controller Reduction for Nonlinear Systems by Generalized Differential Balancing. - Ron M. Roth:
Higher-Order MDS Codes. - Jiangwei Liu, Liangyu Min, Xiaohong Huang:
An overview of event extraction and its applications. - Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu:
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network. - Jeff Calder, Sangmin Park, Dejan Slepcev:
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. - Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra:
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. - Zhiyang He, Jason Li:
Breaking the nk Barrier for Minimum $k$-cut on Simple Graphs. - Xuanhan Wang, Xiaojia Chen, Lianli Gao, Lechao Cheng, Jingkuan Song:
Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing. - Changkun Li, Wei Chen, Khaled B. Letaief:
Mean-Field Approximation based Scheduling for Broadcast Channels with Massive Receivers. - Logan E. Beaver, Sambeeta Das, Andreas A. Malikopoulos:
A First-Order Approach to Model Simultaneous Control of Multiple Microrobots. - Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel R. D. Rodrigues:
Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach. - Wenchao Yue, Fan Bai, Jianbang Liu, Feng Ju, Max Q.-H. Meng, Chwee Ming Lim, Hongliang Ren:
RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region. - Junjie Ma, Ji Xu, Arian Maleki:
Impact of the Sensing Spectrum on Signal Recovery in Generalized Linear Models. - Amina Sabir, Pengfei Huang, Qingzhi Yang:
The low-rank approximation of fourth-order partial-symmetric and conjugate partial-symmetric tensor. - Johnathon Upperman, Nail K. Yamaleev:
First-order positivity-preserving entropy stable spectral collocation scheme for the 3-D compressible Navier-Stokes equations. - Shu Liu, Chaoping Xing:
Maximally recoverable local reconstruction codes from subspace direct sum systems. - Pengfei Huang, Qingzhi Yang:
The decompositions and positive semidefiniteness of fourth-order conjugate partial-symmetric tensors with applications. - Weiqian Tan, Binwei Wu:
Long-distance Deterministic Transmission among TSN Networks: Converging CQF and DIP. - Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong:
Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities. - Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann:
Context-Aware Transformer Transducer for Speech Recognition. - Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana:
Dynamic Data Augmentation with Gating Networks. - H. V. Kalpanie Mendis, Poul E. Heegaard, Vicente Casares Giner, Frank Y. Li, Katina Kralevska:
Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. - Pasin Manurangsi:
Tight Bounds for Differentially Private Anonymized Histograms. - Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan, Qudrat Ullah, Rui Wang, Yilin Song, Zhe Guo, Yilong Niu:
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art. - Yuxiang Ren, Jiawei Zhang:
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. - Chenghong Bian, Mingyu Yang, Chin-Wei Hsu, Hun-Seok Kim:
Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission. - Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao:
Graph Denoising with Framelet Regularizer. - Shivam Gupta, Virender Ranga, Priyansh Agrawal:
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence. - Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy:
Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. - Shivam Gupta, Jyoti Meena, O. P. Gupta:
Neural Network Based Epileptic EEG Detection and Classification. - Virender Ranga, Shivam Gupta, Jyoti Meena, Priyansh Agrawal:
Automated Human Mind Reading Using EEG Signals for Seizure Detection. - Aleksandar Haber, Thomas Bifano:
Dual-Update Data-Driven Control of Deformable Mirrors Using Walsh Basis Functions. - Rafael M. Frongillo, Eric Neyman, Bo Waggoner:
Agreement Implies Accuracy for Substitutable Signals. - Mamoru Doi:
Geometric construction of canonical 3D gadgets in origami extrusions. - Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li:
Recognizing Vector Graphics without Rasterization. - Pin-Xian Wu, Cheng-Cheng Yang, Teng-Hu Cheng:
Cooperative Transportation of UAVs Without Inter-UAV Communication. - Leilei Gan, Yating Zhang, Kun Kuang, Lin Yuan, Shuo Li, Changlong Sun, Xiaozhong Liu, Fei Wu:
Dialogue Inspectional Summarization with Factual Inconsistency Awareness. - Lei Gan, Huabin Huang, Banghuai Li, Ye Yuan:
FBNet: Feature Balance Network for Urban-Scene Segmentation. - Yuxuan Gu, Qixin Chen, Yuanbo Chen, Hongye Guo, Kedi Zheng:
A simplified electro-chemical lithium-ion battery model applicable for in-situ monitoring and online controlling. - Zhaohong Wan, Xiaojun Wan:
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction. - Shahriar Ebrahimi, Reza Salkhordeh, Seyed Ali Osia, Ali Taheri, Hamid Reza Rabiee, Hossein Asadi:
RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks. - Taichi Murayama:
Dataset of Fake News Detection and Fact Verification: A Survey. - Nils Müller, Zeeshan Afzal, Per Eliasson, Mathias Ekstedt, Kai Heussen:
Threat Scenarios and Monitoring Requirements for Cyber-Physical Systems of Energy Flexibility Markets. - Kha Dinh Duy, Hojoon Lee:
PIM-Enclave: Bringing Confidential Computation Inside Memory. - Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee:
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective. - Mehdi Chourib, Steffen Wendzel, Wojciech Mazurczyk:
Adaptive Warden Strategy for Countering Network Covert Storage Channels. - Per Aaslid, Magnus Korpås, Michael M. Belsnes, Olav Bjarte Fosso:
Stochastic Operation of Energy Constrained Microgrids Considering Battery Degradation. - Takanori Maehara, Hoang NT:
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. - Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. - Kalana Abeywardena, Shechem Sumanthiran, Sakuna Jayasundara, Sachira Karunasena, Ranga Rodrigo, Peshala Jayasekara:
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization. - Giorgio Ottolina, Matteo Palmonari, Mehwish Alam, Manuel Vimercati:
On the Impact of Temporal Representations on Metaphor Detection. - Swen Jacobs, Mouhammad Sakr, Marcus Völp:
Parameterized Repair of Concurrent Systems. - Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, Ingo Fischer, Laurent Larger:
Tutorial: Photonic Neural Networks in Delay Systems. - Bi-Cheng Yan, Hsin-Wei Wang, Shih-Hsuan Chiu, Hsuan-Sheng Chiu, Berlin Chen:
Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling. - Simen Eide, Arnoldo Frigessi, Helge Jenssen, David S. Leslie, Joakim Rishaug, Sofie Verrewaere:
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research. - Yuzhi Liang, Yixiang Chen:
DVFL: A Vertical Federated Learning Method for Dynamic Data. - Emmanuel Paviot-Adet, Denis Poitrenaud, Etienne Renault, Yann Thierry-Mieg:
LTL under reductions with weaker conditions than stutter-invariance. - Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li:
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. - Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan:
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. - Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura, Tadachika Ozono:
Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams. - Giuseppe Castagna:
Programming with union, intersection, and negation types. - Ran Duan, Hanlin Ren:
Maintaining Exact Distances under Multiple Edge Failures. - Jan van den Brand, Sebastian Forster, Yasamin Nazari:
Fast Deterministic Fully Dynamic Distance Approximation. - Moran Baruch, Lev Greenberg, Guy Moshkowich:
Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. - (Withdrawn) Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups.
- Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini, Anand Kumar Madasamy, Sangeetha Sivanesan, Subalalitha Chinnaudayar Navaneethakrishnan, Sajeetha Thavareesan, Dhanalakshmi Vadivel, Rahul Ponnusamy, Prasanna Kumar Kumaresan:
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages. - Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian J. Ratliff:
Online Learning in Periodic Zero-Sum Games. - Richard Seeber, Markus Tranninger:
Integral state-feedback control of linear time-varying systems: A performance preserving approach. - Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration. - Indaco Biazzo, Alfredo Braunstein, Luca Dall'Asta, Fabio Mazza:
Epidemic inference through generative neural networks. - Jialin Zhu, Tom Kelly:
Seamless Satellite-image Synthesis. - Alessandro Benfenati, Davide Bolzi, Paola Causin, Roberto Oberti:
A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves. - Stefano Cassano, Fabrizio Sossan:
Stress-informed Control of Medium-head Hydropower Plants to Reduce Penstock Fatigue. - Yanpeng Sun, Zechao Li:
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost. - Emilio Garcia-Fidalgo, Joan P. Company-Corcoles, Francisco Bonnín-Pascual, Alberto Ortiz:
LiODOM: Adaptive Local Mapping for Robust LiDAR-Only Odometry. - Prathamesh Deshpande, Sunita Sarawagi:
Long Range Probabilistic Forecasting in Time-Series using High Order Statistics. - Malte Bellmann, Tobias Pfandzelter, David Bermbach:
Predictive Replica Placement for Mobile Users in Distributed Fog Data Stores with Client-Side Markov Models. - Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. - David Umsonst, Henrik Sandberg:
Experimental evaluation of sensor attacks and defense mechanisms in feedback systems. - Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz:
MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry. - Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin:
Dual Parameterization of Sparse Variational Gaussian Processes. - Zhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu:
Structure-aware Image Inpainting with Two Parallel Streams. - Riccardo Grazzi, Valentin Flunkert, David Salinas, Tim Januschowski, Matthias W. Seeger, Cédric Archambeau:
Meta-Forecasting by combining Global Deep Representations with Local Adaptation. - Guo-Ye Yang, Xiang-Li Li, Ralph R. Martin, Shi-Min Hu:
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images. - Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman:
Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation. - Zijian Li, Ruichu Cai, Tom Z. J. Fu, Kun Zhang:
Transferable Time-Series Forecasting under Causal Conditional Shift. - Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning. - Konrad Wolsing, Eric Wagner, Antoine Saillard, Martin Henze:
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems. - Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-based Hybrid ASR System for Switchboard Dataset. - Yijun Yan, Jinchang Ren, Huan Zhao, James F. C. Windmill, Winifred Ijomah, Jesper de Wit, Justus von Freeden:
Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project. - Eun Jung Kim, Stefan Kratsch, Marcin Pilipczuk, Magnus Wahlström:
Directed flow-augmentation. - Ken Mendes, Filip Lemic, Jeroen Famaey:
Small UAVs-supported Autonomous Generation of Fine-grained 3D Indoor Radio Environmental Maps. - Seungpyo Hong, Sejin Kim, Donghyun You:
Control of a fly-mimicking flyer in complex flow using deep reinforcement learning. - Josef Matous, Kristin Ytterstad Pettersen, Claudio Paliotta:
Formation Path Following Control of Underactuated AUVs - With Proofs. - Manabu Tsukada, Shimpei Arii, Hideya Ochiai, Hiroshi Esaki:
Misbehavior Detection Using Collective Perception under Privacy Considerations. - Linan Huang, Quanyan Zhu:
RADAMS: Resilient and Adaptive Alert and Attention Management Strategy against Informational Denial-of-Service (IDoS) Attacks. - Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li:
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction. - Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. - Jihao Long, Jiequn Han:
Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space. - Julian Fiérrez, Javier Galbally, Javier Ortega-Garcia, Manuel R. Freire, Fernando Alonso-Fernandez, Daniel Ramos, Doroteo T. Toledano, Joaquin Gonzalez-Rodriguez, Juan A. Sigüenza, Javier Garrido Salas, E. Anguiano, Guillermo González de Rivera, Ricardo Ribalda, Marcos Faúndez-Zanuy, J. A. Ortega, Valentín Cardeñoso-Payo, A. Viloria, Carlos E. Vivaracho, Q. Isaac Moro, Juan J. Igarza, Jon Sánchez, Inmaculada Hernáez, Carlos Orrite-Uruñuela, Francisco Martínez-Contreras, Juan José Gracia-Roche:
BiosecurID: a multimodal biometric database. - Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Supervised Advantage Actor-Critic for Recommender Systems. - Pak Hay Kwok, Qi Qi:
A Variational U-Net for Weather Forecasting. - Vít Jelínek, Michal Opler, Jakub Pekárek:
Long paths make pattern-counting hard, and deep trees make it harder. - Andreas Papachristodoulou, Christos Kyrkou, Theocharis Theocharides:
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder. - Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, Jianlong Fu:
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers. - Xiuyuan Lu, Yi Zhou, Shaojie Shen:
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. - Andrew K. Hirsch, Deepak Garg:
Pirouette: Higher-Order Typed Functional Choreographies. - Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder:
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction. - Husam Suleiman, Otman Basir:
SLA-Driven Load Scheduling in Multi-Tier Cloud Computing: Financial Impact Considerations. - Qi Ye:
Positive Definite Multi-Kernels for Scattered Data Interpolations. - Giacomo Garegnani:
Sampling Methods for Bayesian Inference Involving Convergent Noisy Approximations of Forward Maps. - Fedor V. Fomin, Tuukka Korhonen:
Fast FPT-Approximation of Branchwidth. - Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang', Aisha Walcott-Bryant:
Automated Supervised Feature Selection for Differentiated Patterns of Care. - Clément Christophe, Julien Velcin, Jairo Cugliari, Manel Boumghar, Philippe Suignard:
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. - Tobias Winkler, Christina Gehnen, Joost-Pieter Katoen:
Model Checking Temporal Properties of Recursive Probabilistic Programs. - Maksym A. Girnyk:
Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling. - Mingjie Li, Shaobo Wang, Quanshi Zhang:
Visualizing the Emergence of Intermediate Visual Patterns in DNNs. - Yangtao Zhang, X. Jessie Yang, Feng Zhou:
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. - Hongrui Shi, Valentin Radu:
Data Selection for Efficient Model Update in Federated Learning. - Nir Lotan, Einat Minkov:
SocialVec: Social Entity Embeddings. - Mohammed Temraz, Mark T. Keane:
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation. - Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou:
S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data. - Stephan Brehm, Sebastian A. Scherer, Rainer Lienhart:
Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
A Data-driven Approach to Neural Architecture Search Initialization. - Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
New Streaming Algorithms for High Dimensional EMD and MST. - Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu:
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. - Gregory Glatzer, Prasenjit Mitra, Johnson Kinyua:
An Analysis of Elephants' Movement Data in Sub-Saharan Africa Using Clustering. - Paul Krogmeier, P. Madhusudan:
Learning Formulas in Finite Variable Logics. - Jaime A. Moreno, Héctor Ríos, Luis Ovalle, Leonid M. Fridman:
Multivariable Super-Twisting Algorithm for Systems with Uncertain Input Matrix and Perturbations. - (Withdrawn) A Unified Game-Theoretic Interpretation of Adversarial Robustness.
- Ayush Bansal, Debadatta Mishra:
A practical analysis of ROP attacks. - Bryan Habas, Bader AlAttar, Brian Davis, Jack W. Langelaan, Bo Cheng:
Optimal Inverted Landing in a Small Aerial Robot with Varied Approach Velocities and Landing Gear Designs. - Jiaxi Xie, Kornel F. Ehmann, Jian Cao:
MetaFEM: A Generic FEM Solver By Meta-expressions. - Michal Lisicki, Arash Afkanpour, Graham W. Taylor:
An Empirical Study of Neural Kernel Bandits. - Shidong Wang, Wei Zeng, Xi Chen, Yu Ye, Yu Qiao, Chi-Wing Fu:
ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design. - Rahul Mishra, Shuo Zhang:
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence. - Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang:
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. - Luis M. Contreras, Jose A. Ordonez-Lucena:
On Slice Isolation Options in the Transport Network and Associated Feasibility Indicators. - Marsel Faizullin, Anastasiia Kornilova, Azat Akhmetyanov, Konstantin Pakulev, Andrey Sadkov, Gonzalo Ferrer:
Synchronized Smartphone Video Recording System of Depth and RGB Image Frames with Sub-millisecond Precision. - Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Philip H. S. Torr:
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family. - Hung Le, Christian Wulff-Nilsen:
Optimal Approximate Distance Oracle for Planar Graphs. - Jerome Sieber, Andrea Zanelli, Samir Bennani, Melanie N. Zeilinger:
System Level Disturbance Reachable Sets and their Application to Tube-based MPC. - David G. Balash, Xiaoyuan Wu, Miles Grant, Irwin Reyes, Adam J. Aviv:
Security and Privacy Perceptions of Third-Party Application Access for Google Accounts (Extended Version). - Vishnu Sanjay Ramiya Srinivasan, Rui Ma, Qiang Tang, Zili Yi, Zhan Xu:
Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting. - Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak:
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. - Runa Eschenhagen, Erik A. Daxberger, Philipp Hennig, Agustinus Kristiadi:
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning. - Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry. - Tianfang Zhang, Siying Cao, Tian Pu, Zhenming Peng:
AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection. - Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak:
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study. - Pascal Gadient, Pascal Gerig, Oscar Nierstrasz, Mohammad Ghafari:
Phish What You Wish. - José Antonio Morales, Jorge Flores, Carlos Gershenson, Carlos Pineda:
Statistical Properties of Rankings in Sports and Games. - Pascal Gadient, Oscar Nierstrasz, Mohammad Ghafari:
Security Header Fields in HTTP Clients. - Shen Yan, Colin White, Yash Savani, Frank Hutter:
NAS-Bench-x11 and the Power of Learning Curves. - Jamie Burke, Stuart King:
Edge Tracing using Gaussian Process Regression. - Yuan Deng, Jieming Mao, Balasubramanian Sivan, Kangning Wang:
Approximately Efficient Bilateral Trade. - Amikul Kalra, Arkaitz Zubiaga:
Sexism Identification in Tweets and Gabs using Deep Neural Networks. - Pablo Soto-Quiros, Anatoli Torokhti, Stanley J. Miklavcic:
Second Degree Model for Multi-Compression and Recovery of Distributed Signals. - Yizhou Li, Yusuke Monno, Masatoshi Okutomi:
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM. - Roland Becker, Michael Innerberger, Dirk Praetorius:
Adaptive FEM for parameter-errors in elliptic linear-quadratic parameter estimation problems. - Jiaji Huang, Qiang Qiu, Kenneth Church:
Exploiting a Zoo of Checkpoints for Unseen Tasks. - (Withdrawn) Objective measurement of pitch extractors' responses to frequency modulated sounds and two reference pitch extraction methods for analyzing voice pitch responses to auditory stimulation.
- Elena Merlo, Edoardo Lamon, Fabio Fusaro, Marta Lorenzini, Alessandro Carfì, Fulvio Mastrogiovanni, Arash Ajoudani:
Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation. - Samuel Albanie, Gül Varol, Liliane Momeni, Hannah Bull, Triantafyllos Afouras, Himel Chowdhury, Neil Fox, Bencie Woll, Rob Cooper, Andrew McParland, Andrew Zisserman:
BBC-Oxford British Sign Language Dataset. - Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause:
Risk-averse Heteroscedastic Bayesian Optimization. - Bhanu Jain, Manfred Huber, Ramez Elmasri:
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization. - Nathaniel Harms, Sebastian Wild, Viktor Zamaraev:
Randomized Communication and the Implicit Graph Conjecture. - Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. - Martin Piala, Ronald Clark:
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. - Nicky Lenaers, Martijn van Otterlo:
Regular Decision Processes for Grid Worlds. - Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. - Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. - Pavel Panteleev, Gleb Kalachev:
Asymptotically Good Quantum and Locally Testable Classical LDPC Codes. - Ildar Rakhmatulin:
ironbci. Open source. Brain-computer interface with the embedded board to monitor the physiological subject's condition and environmental parameters. - Shahram Ghandeharizadeh:
Holodeck: Immersive 3D Displays Using Swarms of Flying Light Specks. - Ji Won Yoon, Hyung Yong Kim, Hyeonseung Lee, Sunghwan Ahn, Nam Soo Kim:
Oracle Teacher: Towards Better Knowledge Distillation. - Christopher L. Dancy, P. Khalil Saucier:
AI and Blackness: Towards moving beyond bias and representation. - Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah:
Towards Learning Generalizable Driving Policies from Restricted Latent Representations. - Vladimir Risojevic, Vladan Stojnic:
The Role of Pre-Training in High-Resolution Remote Sensing Scene Classification. - Danil Kuzin, Olga Isupova, Brooke D. Simmons, Steven Reece:
Disaster mapping from satellites: damage detection with crowdsourced point labels. - Moses Charikar, Prasanna Ramakrishnan:
Metric Distortion Bounds for Randomized Social Choice. - Karen Archer, Nicola Catenacci Volpi, Franziska Bröker, Daniel Polani:
A space of goals: the cognitive geometry of informationally bounded agents. - Luís Cruz-Filipe, Eva Graversen, Lovro Lugovic, Fabrizio Montesi, Marco Peressotti:
Choreographies as Functions. - Qian Wang, Daniel Kurz:
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion. - Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano:
Inferring untrained complex dynamics of delay systems using an adapted echo state network. - Jaime D. Acevedo-Viloria, Sebastián Soriano Pérez, Jesus Solano, David Zarruk-Valencia, Fernando G. Paulin, Alejandro Correa Bahnsen:
Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection. - Erica R. Johnson, James A. Rossmanith, Christine Vaughan:
Bounds-Preserving Lax-Wendroff Discontinuous Galerkin Schemes for Quadrature-Based Moment-Closure Approximations of Kinetic Models. - Abodh Poudyal, Vishnu Iyengar, Diego Garcia-Camargo, Anamika Dubey:
Spatiotemporal Impact of Hurricanes on a Power Grid. - Michael Fulton, Jungseok Hong, Junaed Sattar:
Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers. - Maude Nguyen-The, Guillaume-Alexandre Bilodeau, Jan Rockemann:
Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks. - Blake Gerard, Martin Kong:
String Abstractions for Qubit Mapping. - Kavan Mehrizi:
Quadrupedal Robotic Guide Dog with Vocal Human-Robot Interaction. - Brian Randell, Avelino Francisco Zorzo:
Exception Handling on Multiparty Interactions. - Michal Pilipczuk, Nicole Schirrmacher, Sebastian Siebertz, Szymon Torunczyk, Alexandre Vigny:
Algorithms and data structures for first-order logic with connectivity under vertex failures. - Thomas Olschewski:
Defect Detection on Semiconductor Wafers by Distribution Analysis. - Gheorghe Tecuci, Dorin Marcu, Louis Kaiser, Mihai Boicu:
Shared Model of Sense-making for Human-Machine Collaboration. - Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag:
Frugal Machine Learning. - Claire Mathieu, Hang Zhou:
A PTAS for Capacitated Vehicle Routing on Trees. - Haohan Wang, Zeyi Huang, Hanlin Zhang, Eric Poe Xing:
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features. - Margalit Glasgow, Honglin Yuan, Tengyu Ma:
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective. - Devrim Cavusoglu, Ogulcan Eryuksel, Sinan Altinuc:
Increasing Data Diversity with Iterative Sampling to Improve Performance. - Timothy M. Chan, Da Wei Zheng:
Hopcroft's Problem, Log-Star Shaving, 2D Fractional Cascading, and Decision Trees. - Rylan Schaeffer:
An Algorithmic Theory of Metacognition in Minds and Machines. - Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. - Peng Gao, Brian Reily, Rui Guo, Hongsheng Lu, Qingzhao Zhu, Hao Zhang:
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation. - Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke:
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. - Chen Chen, Janet G. Johnson, Kemeberly Charles, Alice Lee, Ella T. Lifset, Michael Hogarth, Alison A. Moore, Emilia Farcas, Nadir Weibel:
Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants. - Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan:
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. - Masoud Behzadinasab, Michael Hillman, Yuri Bazilevs:
IGA-PD Penalty-Based Coupling for Immersed Air-Blast Fluid-Structure Interaction: A Simple and Effective Solution for Fracture and Fragmentation. - Yuwei Luo, Varun Gupta, Mladen Kolar:
Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems. - Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chunyan Miao, Dong In Kim:
Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality. - Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework. - Henning Schulzrinne, Marie-José Montpetit:
NSF Broadband Research 2020 Report. - Matthew Cleaveland, Ivan Ruchkin, Oleg Sokolsky, Insup Lee:
Monotonic Safety for Scalable and Data-Efficient Probabilistic Safety Analysis. - Ivan Ruchkin, Matthew Cleaveland, Radoslav Ivanov, Pengyuan Lu, Taylor J. Carpenter, Oleg Sokolsky, Insup Lee:
Confidence Composition for Monitors of Verification Assumptions. - Kristopher Brown, Evan Patterson, James P. Fairbanks:
Double pushout rewriting of C-sets. - Henning Schulzrinne:
Centralization is about Control, not Protocols (Position Paper). - Takuma Seno, Michita Imai:
d3rlpy: An Offline Deep Reinforcement Learning Library. - Jaroslaw Pawlowski, Sylwia Majchrowska, Tomasz Golan:
Generation of microbial colonies dataset with deep learning style transfer. - (Withdrawn) Roofline Model for UAVs: A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones.
- Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar:
Physics-Informed Neural Operator for Learning Partial Differential Equations. - Donsuk Lee, Samantha M. W. Wood, Justin N. Wood:
Development of collective behavior in newborn artificial agents. - Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan:
Neural BRDFs: Representation and Operations. - Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter:
Finnish Dialect Identification: The Effect of Audio and Text. - Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro:
Contextual Unsupervised Outlier Detection in Sequences. - Haozhe Zhang, Zexin Cai, Xiaoyi Qin, Ming Li:
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines. - Aditya Mandke, Onkar Litake, Dipali Kadam:
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources. - C. H. Venkata Ramesh, A. Manjunatha:
Compensation of Reactive Power in Grid-Connected Solar PV Array System Using STATCOM and Fixed Capacitor Bank. - Veena S., Newton Rai, H. L. Suresh, Veda Sandeep Nagaraja:
Design, Modelling, and Simulation analysis of a Single Axis MEMS-based Capacitive Accelerometer. - Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, Sansi Yu:
Will You Ever Become Popular? Learning to Predict Virality of Dance Clips. - Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale:
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking. - Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong:
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach. - Thanapong Chuangyanyong, Panusorn Chinsakuljaroen, Worachit Ketrungsri, Thanacha Choopojcharoen:
Flying Trapeze Act Motion Planning Algorithm for Two-Link Free-Flying Acrobatic Robot. - Mana Masuda, Yusuke Sekikawa, Ryo Fujii, Hideo Saito:
Neural Implicit Event Generator for Motion Tracking. - Haiyong Wang:
New error bounds for Legendre approximations of differentiable functions. - Ali Osman Berk Sapci, Öznur Tastan, Reyyan Yeniterzi:
Focusing on Possible Named Entities in Active Named Entity Label Acquisition. - Guan-Chen Liu, Qi-Yue Yu:
Non-Binary Polar Coded System for the Two-User Multiple-Access Channel. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. - Fabio Gadducci, Davide Trotta:
A Presheaf Semantics for Quantified Temporal Logics. - Mohammadreza Hazhirpasand, Mohammad Ghafari:
Cryptography Vulnerabilities on HackerOne. - Ch Muhammad Awais, Imad Eddine Ibrahim Bekkouch:
What augmentations are sensitive to hyper-parameters and why? - Yepeng Ding, Hiroyuki Sato:
Sunspot: A Decentralized Framework Enabling Privacy for Authorizable Data Sharing on Transparent Public Blockchains. - Zhengzhuo Xu, Zenghao Chai, Chun Yuan:
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective. - Artem Khyzha, Ori Lahav:
Abstraction for Crash-Resilient Objects (Extended Version). - Tasnim Sakib Apon, Abrar Islam, Md. Golam Rabiul Alam:
Action Recognition using Transfer Learning and Majority Voting for CSGO. - Chenyu Wu, Xidong Mu, Yuanwei Liu, Xuemai Gu, Xianbin Wang:
Resource Allocation in STAR-RIS-Aided Networks: OMA and NOMA. - Daniel Fraunholz, Marc Zimmermann, Hans D. Schotten:
An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy. - Bo Lyu, Shiping Wen, Zheng Yan, Kaibo Shi, Ke Li, Tingwen Huang:
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework. - Johanna Devaney:
Digital Audio Processing Tools for Music Corpus Studies. - David Eppstein, Daniel Frishberg:
Rapid mixing of the hardcore Glauber dynamics and other Markov chains in bounded-treewidth graphs. - Patrick Pease, Jayati Chhabra, Zahra Zolfaghari:
Planning for net zero by 2050, what HVAC system interventions will today's code minimum commercial buildings require? - Ibrahim Salihu Yusuf, Kale-ab Abebe Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius:
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. - Alexandre L. M. Levada:
Geodesic curves in Gaussian random field manifolds. - Saloni Dash, Rynaa Grover, Gazal Shekhawat, Sukhnidh Kaur, Dibyendu Mishra, Joyojeet Pal:
Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India. - Christopher B. Rauch, Mat Kelly, John A. Kunze, Jane Greenberg:
FAIR Metadata: A Community-driven Vocabulary Application. - Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. - Katerina Papantoniou, Panagiotis Papadakos, Giorgos Flouris, Dimitris Plexousakis:
Linguistic Cues of Deception in a Multilingual April Fools' Day Context. - Aditya Milind Deshpande, Ali A. Minai, Manish Kumar:
Robust Deep Reinforcement Learning for Quadcopter Control. - Timo Kats, Peter van der Putten, Jasper Schelling:
Distinguishing Commercial from Editorial Content in News. - Shubham Gupta, Aadirupa Saha:
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits. - Julian Aron Prenner, Romain Robbes:
Automatic Program Repair with OpenAI's Codex: Evaluating QuixBugs. - Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
Deep Learning Based Model for Breast Cancer Subtype Classification. - Shimaa Naser, Lina Bariah, Sami Muhaidat, Mahmoud Al-Qutayri, Murat Uysal, Paschalis C. Sofotasios:
Space-Time Block Coded Spatial Modulation for Indoor Visible Light Communications. - Renrui Zhang, Rongyao Fang, Wei Zhang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li:
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling. - Pouria Razzaghi, Ehab Al Khatib, Yildirim Hurmuzlu:
Swarm Control of Magnetically Actuated Millirobots. - Ehab Al Khatib, Pouria Razzaghi, Yildirim Hurmuzlu:
Feedback Control of Millimeter Scale Pivot Walkers Using Magnetic Actuation. - Christina J. Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum:
SOPE: Spectrum of Off-Policy Estimators. - Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain:
Transformer Based Bengali Chatbot Using General Knowledge Dataset. - A. Rajagopal, V. Nirmala:
Convolutional Gated MLP: Combining Convolutions & gMLP. - Seohong Park, Jaekyeom Kim, Gunhee Kim:
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods. - Verena Biener, Eyal Ofek, Michel Pahud, Per Ola Kristensson, Jens Grubert:
Extended Reality for Knowledge Work in Everyday Environments. - Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao:
A Probit Tensor Factorization Model For Relational Learning. - Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. - Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang:
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. - Tayaba Anjum, Nazar Khan:
CALText: Contextual Attention Localization for Offline Handwritten Text. - Piotr Indyk, Shyam Narayanan, David P. Woodruff:
Frequency Estimation with One-Sided Error. - Guillaume Boisseau, Robin Piedeleu:
Graphical Piecewise-Linear Algebra. - Yang Cai, Argyris Oikonomou, Mingfei Zhao:
Computing Simple Mechanisms: Lift-and-Round over Marginal Reduced Forms. - D. Emre Tasar, Sükrü Ozan, M. Fatih Akca, Oguzhan Ölmez, Semih Gülüm, Seçilay Kutay, Ceren Belhan:
Profitable Trade-Off Between Memory and Performance In Multi-Domain Chatbot Architectures. - Fatoumata Sanogo, Carmeliza Navasca, Stefan Kindermann:
Tensor Deblurring and Denoising Using Total Variation. - Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair:
A Deep Reinforcement Learning Approach for Composing Moving IoT Services. - Matthias Englert, Nicolaos Matsakis, Pavel Veselý:
Improved Approximation Guarantees for Shortest Superstrings using Cycle Classification by Overlap to Length Ratios. - Sivakumar Balasubramanian, Aditya Jajodia, Gowtham Srinivasan:
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words. - Yatin Dandi, Arthur Jacot:
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis. - Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals. - Robert L. Wilson, Daniel Browne, Jonathan Wagstaff, Steve McGuire:
A Virtual Reality Simulation Pipeline for Online Mental Workload Modeling. - Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer:
Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds. - Jasmine DeHart, Chenguang Xu, Lisa Egede, Christan Grant:
Proposing an Interactive Audit Pipeline for Visual Privacy Research. - Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami:
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. - Xinyue Zhang, Waixiang Cao:
Superconvergence of the Direct Discontinuous Galerkin Method for Two-Dimensional Nonlinear Convection-Diffusion Equations. - Xingyu Liu, Kris M. Kitani:
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. - Ruochen Dai, Tuba Yavuz:
A Symbolic Approach to Detecting Hardware Trojans Triggered by Don't Care Transitions. - Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng:
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition. - (Withdrawn) NarrationBot and InfoBot: A Hybrid System for Automated Video Description.
- Umanandini S, Aouthithiye Barathwaj S. R. Y, Jasline Augusta J, Shrirang Sapate, Reenasree S, Vigneash M:
Predictive Model for Gross Community Production Rate of Coral Reefs using Ensemble Learning Methodologies. - Hikaru Ibayashi, Masaaki Imaizumi:
Quasi-potential theory for escape problem: Quantitative sharpness effect on SGD's escape from local minima. - Xiao Kan, Cong Sun, Shen Liu, Yongzhe Huang, Gang Tan, Siqi Ma, Yumei Zhang:
Sdft: A PDG-based Summarization for Efficient Dynamic Data Flow Tracking. - Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A Review of Location Encoding for GeoAI: Methods and Applications. - Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra:
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models. - (Withdrawn) $k$ disjoint $st$-paths activation in polynomial time.
- Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C.-C. Jay Kuo:
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector. - Shanyan Guan, Jingwei Xu, Michelle Zhang He, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation. - Shinya Uchiumi:
A pressure-stabilized projection Lagrange-Galerkin scheme for the transient Oseen problem. - Matthew Mithra Noel, Shubham Bharadwaj, Venkataraman Muthiah-Nakarajan, Praneet Dutta, Geraldine Bessie Amali:
Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons. - Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. - Ali Syed Saqlain, Li-Yun Wang, Fang Fang:
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning. - Suhyeon Ha, Guisik Kim, Junseok Kwon:
Style Transfer with Target Feature Palette and Attention Coloring. - Jack H. Lutz, Satyadev Nandakumar, Subin Pulari:
A Weyl Criterion for Finite-State Dimension. - Guy Wolf, Gil Shabat, Hanan Shteingart:
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees. - Sung-Feng Huang, Chyi-Jiunn Lin, Hung-yi Lee:
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech. - Hongyang Liu, Yitong Yin:
Simple Parallel Algorithms for Single-Site Dynamics. - Ismail Oussaid, William Vanhuffel, Pirashanth Ratnamogan, Mhamed Hajaiej, Alexis Mathey, Thomas Gilles:
Information Extraction from Visually Rich Documents with Font Style Embeddings. - Huixu Dong, Chao-Yu Chen, Chen Qiu, Chen-Hua Yeow, Haoyong Yu:
GSG: A Granary Soft Gripper with Mechanical Force Sensing via 3-Dimensional Snap-Through Structure. - Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. - Valentin Barrière, Guillaume Jacquet:
How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing. - Alireza Ahmadi:
Registration Techniques for Deformable Objects. - Imrul Qais, Chayan Bhawal, Debasattam Pal:
A matrix theoretic characterization of the strongly reachable subspace. - Ruiyang Liu, Yinghui Li, Linmi Tao, Dun Liang, Shi-Min Hu, Hai-Tao Zheng:
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP. - Rahul Bishain, Bhismadev Chakrabarti, Jayashree Dasgupta, Indu Dubey, Sharat Chandran:
Can viewer proximity be a behavioural marker for Autism Spectrum Disorder? - Ivona Bezáková, Andreas Galanis, Leslie Ann Goldberg, Daniel Stefankovic:
Fast sampling via spectral independence beyond bounded-degree graphs. - Samudra Herath, Matthew Roughan, Gary Glonek:
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling. - Guangyang Han, Guoxian Yu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Crowdsourcing with Meta-Workers: A New Way to Save the Budget. - Samudra Herath, Matthew Roughan, Gary Glonek:
Em-K Indexing for Approximate Query Matching in Large-scale ER. - Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao:
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting. - Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Open-Set Crowdsourcing using Multiple-Source Transfer Learning. - Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng:
Direct Multi-view Multi-person 3D Pose Estimation. - Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. - Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Variance-Aware Machine Translation Test Sets. - Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing by Label Attributes Embedding. - Lars Noschinski, Christoph Traut:
Pattern-based Subterm Selection in Isabelle. - Bruno Courcelle:
Order-theoretic trees: monadic second-order descriptions and regularity. - Thanchanok Sutjarittham:
Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus. - Runmin Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Meta Cross-Modal Hashing on Long-Tailed Data. - Oren Mangoubi, Nisheeth K. Vishnoi:
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees and Applications to Differentially Private Optimization. - Peijia Ren, Zixu Liu, Wei-Guo Zhang, Xilan Wu:
Consistency and Consensus Driven for Hesitant Fuzzy Linguistic Decision Making with Pairwise Comparisons. - Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang:
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer. - Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik:
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. - Shing Yan Loo, Moein Shakeri, Sai Hong Tang, Syamsiah Mashohor, Hong Zhang:
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM. - Attila Nagy:
Developing neural machine translation models for Hungarian-English. - Yuxin Tian, Yujie Wang, Ming Ouyang, Xuesong Shi:
Hierarchical Segment-based Optimization for SLAM. - Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Mohsen Ahmadi, Ali Taghavirashidizadeh, Danial Javaheri, Armin Masoumian, Saeid Jafarzadeh Ghoushchi, Yaghoub Pourasad:
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering. - Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo:
MetaMIML: Meta Multi-Instance Multi-Label Learning. - Samuel Schmidgall, Joe Hays:
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. - Maryam Bahrani, Hedyeh Beyhaghi, Sahil Singla, S. Matthew Weinberg:
Formal Barriers to Simple Algorithms for the Matroid Secretary Problem. - Thanacha Choopojcharoen, Worachit Ketrungsri, Thanapong Chuangyanyong, Panusorn Chinsakuljaroen:
Ballistic Multibody Estimator for 2D Open Kinematic Chain. - Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates:
Automatic Goal Generation using Dynamical Distance Learning. - Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai:
NeurInt : Learning to Interpolate through Neural ODEs. - Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le:
Global-Local Attention for Emotion Recognition. - Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang:
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. - Michael Kuchnik, Ana Klimovic, Jiri Simsa, George Amvrosiadis, Virginia Smith:
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines. - Paridhi Latawa, Nuh Aydin:
Applications of Convolutional Codes to DNA Codes and Error-Correction. - Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Isabelle Tingzon, Liliana Carvajal, Alberto Aroca, Carlos Delgado:
Mapping Access to Water and Sanitation in Colombia using Publicly Accessible Satellite Imagery, Crowd-sourced Geospatial Information and RandomForests. - Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre:
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. - Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning. - Homer Walke, Daniel Ritter, Carl Trimbach, Michael Littman:
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator. - Samet Oguten, Bilal Kabas:
PID Controller Optimization for Low-cost Line Follower Robots. - Elena Benvenuti, Andrea Chiozzi, Gianmarco Manzini, N. Sukumar:
Extended virtual element method for two-dimensional linear elastic fracture. - Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen:
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments. - Eldon Chung, Maciej Obremski, Divesh Aggarwal:
Extractors: Low Entropy Requirements Colliding With Non-Malleability. - Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams:
A Word on Machine Ethics: A Response to Jiang et al. (2021). - Jean-Baptiste Bouvier, Kathleen Xu, Melkior Ornik:
Quantitative Resilience of Generalized Integrators. - Aygün Baltaci, Ergin Dinc, Mustafa Özger, Abdulrahman Alabbasi, Cicek Cavdar, Dominic Schupke:
A Survey of Wireless Networks for Future Aerial COMmunications (FACOM). - Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis:
Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games. - Nicolas Moës, Jean-François Remacle, Jonathan Lambrechts, Benoît Lé:
The eXtreme Mesh deformation approach (X-MESH) for the Stefan phase-change model. - Meghal Gupta, Yael Tauman Kalai, Rachel Yun Zhang:
Interactive Error Correcting Codes Over Binary Erasure Channels Resilient to $>\frac12$ Adversarial Corruption. - Magdalen Dobson, Guy E. Blelloch:
Parallel Nearest Neighbors in Low Dimensions with Batch Updates. - Shibo Zhang, Ebrahim Nemati, Minh Dinh, Nathan Folkman, Tousif Ahmed, Md. Mahbubur Rahman, Jilong Kuang, Nabil Alshurafa, Alex Gao:
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier. - Xuefeng Xu:
Convergence analysis of two-level methods with general coarse solvers. - Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur:
VizAI : Selecting Accurate Visualizations of Numerical Data. - Vishakh Padmakumar, He He:
Machine-in-the-Loop Rewriting for Creative Image Captioning. - Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. - Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu:
Natural Adversarial Objects. - Nicolás A. Barnafi, Bryan Gomez-Vargas, Wesley de Jesus Lourenço, Ruy Freitas Reis, Bernardo Martins Rocha, Marcelo Lobosco, Ricardo Ruiz-Baier, Rodrigo Weber dos Santos:
Mixed methods for large-strain poroelasticity/chemotaxis models simulating the formation of myocardial oedema. - Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara:
Uncertainty Quantification in Neural Differential Equations. - Eleanor McMurtry, Xavier Boyen, Chris Culnane, Kristian Gjøsteen, Thomas Haines, Vanessa Teague:
Towards Verifiable Remote Voting with Paper Assurance. - Trung Thanh Nguyen, Khaled M. Elbassioni, Nguyen Cong Luong, Dusit Niyato, Dong In Kim:
Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness. - Jitendra Bhandari, Abdul Khader Thalakkattu Moosa, Benjamin Tan, Christian Pilato, Ganesh Gore, Xifan Tang, Scott Temple, Pierre-Emmanuel Gaillardon, Ramesh Karri:
Not All Fabrics Are Created Equal: Exploring eFPGA Parameters For IP Redaction. - Tamjid Al Rahat, Tu Le, Yuan Tian:
Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning. - Masayuki Yamazaki, Eigo Mori:
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing. - Lei Sun:
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization. - Bingyu Shen, Brandon RichardWebster, Alice J. O'Toole, Kevin W. Bowyer, Walter J. Scheirer:
A Study of the Human Perception of Synthetic Faces. - Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang:
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. - Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin:
Learning to Rectify for Robust Learning with Noisy Labels. - Michael V. Klibanov, Jingzhi Li, Wenlong Zhang:
A globally convergent numerical method for a 3D coefficient inverse problem for a wave-like equation. - Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. - Arbind Agrahari Baniya, Sunil Aryal, KC Santosh:
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement. - Ziyuan Gao, Sanjay Jain, Zeyong Li, Ammar Fathin Sabili, Frank Stephan:
Alternating Automatic Register Machines. - Van Long Phuoc Pham, Keshav Goyal, Han Mao Kiah:
Sequence Reconstruction Problem for Deletion Channels: A Complete Asymptotic Solution. - Utpal Bora, Shraiysh Vaishay, Saurabh Joshi, Ramakrishna Upadrasta:
OpenMP aware MHP Analysis for Improved Static Data-Race Detection. - Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. - Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi:
JaMIE: A Pipeline Japanese Medical Information Extraction System. - Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama:
Federated Learning Based on Dynamic Regularization. - Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai:
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark. - Gary P. T. Choi, Amita Giri, Lalan Kumar:
Adaptive area-preserving parameterization of open and closed anatomical surfaces. - Xiang Li, Shihao Ji:
Generative Dynamic Patch Attack. - Taeuk Jang, Pengyi Shi, Xiaoqian Wang:
Group-Aware Threshold Adaptation for Fair Classification. - Ruijiang Gao, Han Feng:
Identifying Best Fair Intervention. - Yuhui Wang, Diane J. Cook:
Mimic: An adaptive algorithm for multivariate time series classification. - Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. - Guoxi Zhang, Hisashi Kashima:
Batch Reinforcement Learning from Crowds. - Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. - Handong Ma, Changsheng Li, Xinchu Shi, Ye Yuan, Guoren Wang:
Deep Unsupervised Active Learning on Learnable Graphs. - Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin:
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. - Suyeon Lee, Sungyong Park:
LMStream: When Distributed Micro-Batch Stream Processing Systems Meet GPU. - Fang Kong, Yueran Yang, Wei Chen, Shuai Li:
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. - Taolue Chen, Alejandro Flores-Lamas, Matthew Hague, Zhilei Han, Denghang Hu, Shuanglong Kan, Anthony Widjaja Lin, Philipp Rümmer, Zhilin Wu:
Solving String Constraints With Regex-Dependent Functions Through Transducers With Priorities And Variables. - Margaret-Anne D. Storey, Brian Houck, Thomas Zimmermann:
How Developers and Managers Define and Trade Productivity for Quality. - Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu:
Defense Against Explanation Manipulation. - Zhe Shen, Takeshi Tsuchiya:
State Drift and Gait Plan in Feedback Linearization Control of A Tilt Vehicle. - Cedric Cook:
Learning Context-Aware Representations of Subtrees. - Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. - Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim:
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. - Arturs Polis, Alexander Ilin:
A Relational Model for One-Shot Classification. - Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang:
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. - Riccardo Dio, André Galligo, Angelos Mantzaflaris, Benjamin Mauroy:
Spirometry-based airways disease simulation and recognition using Machine Learning approaches. - Fengyuan Yang, Ruiping Wang, Xilin Chen:
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning. - Lucas Baudin:
Best-Response Dynamics and Fictitious Play in Identical Interest Stochastic Games. - Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun:
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. - Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Towards Debiasing Temporal Sentence Grounding in Video. - Vanessa Tietz:
Development of a Meta-language and its Qualifiable Implementation for the Use in Safety-critical Software. - Jiayang Song, Deyun Lyu, Zhenya Zhang, Zhijie Wang, Tianyi Zhang, Lei Ma:
When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward. - Haibin Wu, Bo Zheng, Xu Li, Xixin Wu, Hung-yi Lee, Helen Meng:
Characterizing the adversarial vulnerability of speech self-supervised learning. - Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy. - Girish Balakrishnan, Sankardeep Chakraborty, N. S. Narayanaswamy, Kunihiko Sadakane:
Succinct Data Structure for Path Graphs. - Su Wang, Zhiliang Wang, Tao Zhou, Xia Yin, Dongqi Han, Han Zhang, Hongbin Sun, Xingang Shi, Jiahai Yang:
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning. - Pieter Adriaans:
Differential information theory. - Meiling Fang, Fadi Boutros, Arjan Kuijper, Naser Damer:
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection. - Olivier Coulaud, Alain Franc, Martina Iannacito:
Extension of Correspondence Analysis to multiway data-sets through High Order SVD: a geometric framework. - Yi Zhao, Lifan Liu, Chengzhi Zhang:
Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles. - Zhihao Cheng, Li Shen, Dacheng Tao:
Off-policy Imitation Learning from Visual Inputs. - Michael Hertneck, Frank Allgöwer:
Robust dynamic self-triggered control for nonlinear systems using hybrid Lyapunov functions. - Lincon Sales de Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui:
Grassmannian learning mutual subspace method for image set recognition. - Ezra Fielding, Clement N. Nyirenda, Mattia Vaccari:
A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification. - Chennakesava Kadapa, Xinyu Wang, Yue Mei:
A comprehensive assessment of accuracy of adaptive integration of cut cells for laminar fluid-structure interaction problems. - Klara Borowa, Robert Dwornik, Andrzej Zalewski:
Is knowledge the key? An experiment on debiasing architectural decision-making - a pilot study. - Mohammad Zeynali Azim, Saeid Alikhani, Babak Anari:
Sequence pairs related to produced graphs from a method for dividing a natural number by two. - Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. - Jakob Mökander, Maria Axente:
Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications. - Raghavendra Sridharamurthy, Vijay Natarajan:
Comparative Analysis of Merge Trees using Local Tree Edit Distance. - Ahmed Salem, Michael Backes, Yang Zhang:
Get a Model! Model Hijacking Attack Against Machine Learning Models. - Thi Ngoc Hanh Le, Shih-Syun Lin, Weiming Dong, Tong-Yee Lee:
Content-aware media retargeting based on deep importance map. - Viktor Schmuck, Oya Çeliktutan:
GROWL: Group Detection With Link Prediction. - Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann:
Sub-realtime simulation of a neuronal network of natural density. - Kim Jie Koh, Deepesh Toshniwal, Fehmi Cirak:
An optimally convergent smooth blended B-spline construction for unstructured quadrilateral and hexahedral meshes. - Jianbo Cui, Jialin Hong, Liying Sun:
Structure-preserving splitting methods for stochastic logarithmic Schrödinger equation via regularized energy approximation. - Lijia Yu, Xiao-Shan Gao:
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks. - Linus Heck, Jip Spel, Sebastian Junges, Joshua Moerman, Joost-Pieter Katoen:
Gradient-Descent for Randomized Controllers under Partial Observability. - Sebastian Buschjäger, Katharina Morik:
There is no Double-Descent in Random Forests. - Tyler Menezes, Alexander Parra, Mingjie Jiang:
Open-Source Internships with Industry Mentors. - Hui Yin, Xiangyu Song, Shuiqiao Yang, Jianxin Li:
Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions. - Jasper Kyle Catapang, Jerome V. Cleofas:
Topic Modeling, Clade-assisted Sentiment Analysis, and Vaccine Brand Reputation Analysis of COVID-19 Vaccine-related Facebook Comments in the Philippines. - Henry Cerbone:
Providing a Philosophical Critique and Guidance of Fairness Metrics. - Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit Leduc, Ioannis Kanellos:
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning. - Irina A. Lomazova, Alexey A. Mitsyuk, Aliya M. Sharipova:
Modeling MOOC learnflow with Petri net extensions. - Frances Corry, Hamsini Sridharan, Alexandra Sasha Luccioni, Mike Ananny, Jason Schultz, Kate Crawford:
The Problem of Zombie Datasets: A Framework For Deprecating Datasets. - Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang:
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds. - Santiago Andrés Azcoitia, Costas Iordanou, Nikolaos Laoutaris:
What Is the Price of Data? A Measurement Study of Commercial Data Marketplaces. - Dietrich Kammer, Elena Stoll, Adam Urban:
Experience of Teaching Data Visualization using Project-based Learning. - Omar Alfakir, Viktor Larsson, Fernando Alonso-Fernandez:
A Cross-Platform Mobile Application for Ambulance CPR during Cardiac Arrests. - Navod Neranjan Thilakarathne, Rohan Samarasinghe:
Internet of Things Technologies for Managing COVID-19 Pandemic: Recommendations and Proposed Framework. - Silvano Pitassi, Riccardo Ghiloni, Ruben Specogna:
Inverting the discrete curl operator: a novel graph algorithm to find a vector potential of a given vector field. - Yu-Chen Lin, Cheng Yu, Yi-Te Hsu, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points. - Alayt Issak:
Artistic Autonomy in AI Art. - Mary Anne Smart:
Addressing Privacy Threats from Machine Learning. - Sayanti Mukherjee, Lance Rintamaki, Janet L. Shucard, Zhiyuan Wei, Lindsey E. Carlasare, Christine A. Sinsky:
The Invisible COVID-19 Crisis: Post-Traumatic Stress Disorder Risk Among Frontline Physicians Treating COVID-19 Patients. - Akash Ravi:
"If we didn't solve small data in the past, how can we solve Big Data today?". - Joshua Lambert, Harpal Sandhu, Emily Kean, Teenu Xavier, Aviv Brokman, Zachary Steckler, Lee Park, Arnold Stromberg:
A strategy to identify event specific hospitalizations in large health claims database. - Chintha Kaluarachchi, Darshana Sedera, Matthew J. Warren:
An Investigative Model of Adult Cyberbullying: A Court Case Analysis. - Nelini Jayathilake, Darshana Sedera:
A Critical Assessment of Online Vs Traditional Review Characteristics. - Ayodhya Wathuge, Darshana Sedera:
An awareness-based model to minimize the environmental damage of the internet usage: A Longitudinal Study. - Anna Jobin, Licinia Güttel, Laura Liebig, Christian Katzenbach:
AI Federalism: Shaping AI Policy within States in Germany. - Jin Ha Woo, Heeyoul Choi:
Systematic Review for AI-based Language Learning Tools. - (Withdrawn) ACIPS: A Framework for Evaluating Patient Perception in the Introduction of AI-Enabled Healthcare.
- Cuncheng Zhu, Christopher T. Lee, Padmini Rangamani:
Mem3DG: Modeling Membrane Mechanochemical Dynamics in 3D using Discrete Differential Geometry. - Rukshani Somarathna, Tomasz Bednarz, Gelareh Mohammadi:
Virtual Reality for Emotion Elicitation - A Review. - Karla Saldana Ochoa:
Creating A Coefficient of Change in the Built Environment After a Natural Disaster. - Damiano Perri, Marco Simonetti, Alex Bordini, Simone Cimarelli, Osvaldo Gervasi:
IoT to monitor people flow in areas of public interest. - Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari:
Improving Peer Assessment with Graph Convolutional Networks. - Liana Toderean, Claudia Antal, Marcel Antal, Dan Mitrea, Tudor Cioara, Ionut Anghel, Ioan Salomie:
A Lockable ERC20 Token for Peer to Peer Energy Trading. - Liya Wang, Amy Mykityshyn, Craig Johnson, Jillian Cheng:
Flight Demand Forecasting with Transformers. - Hashai Papneja:
Ten Conceptual Dimensions of Context. - Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter:
DeSkew-LSH based Code-to-Code Recommendation Engine. - Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. - Mina Samizadeh, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti:
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method. - Nirmalya Thakur, Chia Y. Han:
An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions. - Marek Kwiek, Wojciech Roszka:
Academic vs. Biological Age in Research on Academic Careers: A Large-scale Study with Implications for Scientifically Developing Systems. - Anh V. Vu, Lydia Wilson, Yi Ting Chua, Ilia Shumailov, Ross J. Anderson:
ExtremeBB: Enabling Large-Scale Research into Extremism, the Manosphere and Their Correlation by Online Forum Data. - Vesa Halava, Tero Harju, Esa Sahla:
The Conjugate Post Correspondence Problem. - Liya Wang, Alex Tien, Jason Chou:
Multi-Airport Delay Prediction with Transformers. - Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson:
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing. - Alexander Whatley, Zhekun Luo, Xiangru Tang:
Improving RNA Secondary Structure Design using Deep Reinforcement Learning. - Yukio Ohsawa, Sae Kondo, Teruaki Hayashi:
Feature Concepts for Data Federative Innovations. - Yuma Kinoshita, Hitoshi Kiya:
Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency. - Sergey Gorshkov, Constantin Kondratiev, Roman Shebalov:
Ontology-based question answering over corporate structured data. - Chong Han, Yiqin Wang, Yuanbo Li, Yi Chen, Naveed A. Abbasi, Thomas Kürner, Andreas F. Molisch:
Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis. - Juliane Jarke, Gabriela Molina León, Irina Zakharova, Hendrik Heuer, Ulrike Gerhard:
Beyond Participation: A Review of Co-Creation in Computing. - Wentao Lu, Claude Sammut:
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. - Ahmad Zareie, Amir Sheikhahmadi, Rizos Sakellariou:
A Composite Centrality Measure for Improved Identification of Influential Users. - Angel Felipe Magnossão de Paula, Ipek Baris Schlicht:
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models. - Michal Wronski, Tomasz Kijko, Robert Drylo:
High-degree compression functions on alternative models of elliptic curves and their applications. - Antonio Alvarez Valdivia, Ritish Shailly, Naman Seth, Francesco Fuentes, Dylan P. Losey, Laura H. Blumenschein:
Wrapped Haptic Display for Communicating Physical Robot Learning. - Ece Isik-Polat, Gorkem Polat, Altan Koçyigit:
BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination. - Angel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht:
Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models. - René Haas, Stella Graßhof, Sami Sebastian Brandt:
Tensor-based Subspace Factorization for StyleGAN. - Ying Zhang, Yanbo Chen, Jianhui Wang, Yue Meng, Tianqiao Zhao:
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. - Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro, Javiel Rojas-Ledesma:
Time- and Space-Efficient Regular Path Queries on Graphs. - Daehyeok Kim, Nikita Lazarev, Tommy Tracy II, Farzana Siddique, Hun Namkung, James C. Hoe, Vyas Sekar, Kevin Skadron, Zhiru Zhang, Srinivasan Seshan:
A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem. - Mika Hämäläinen, Pattama Patpong, Khalid Alnajjar, Niko Partanen, Jack Rueter:
Detecting Depression in Thai Blog Posts: a Dataset and a Baseline. - Malintha Fernando, Ransalu Senanayake, Martin Swany:
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage. - Dongyue Li, Hongyang R. Zhang:
Improved Regularization and Robustness for Fine-tuning in Neural Networks. - Matthew S. Nokleby, Ahmad Beirami:
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. - Caleb Bugg, Chen Chen, Anil Aswani:
Nonnegative Tensor Completion via Integer Optimization. - Christoph Strössner, Daniel Kressner:
Fast global spectral methods for three-dimensional partial differential equations. - Romain Guilloteau, David Pradas, Guillaume Pelat, Nicolas Kuhn:
Recommendations on using VPN over SATCOM. - Honey Nikam, Siddharth Satyam, Shubham Sahay:
Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array. - Vincent Cohen-Addad, Anupam Gupta, Lunjia Hu, Hoon Oh, David Saulpic:
An Improved Local Search Algorithm for k-Median. - Nicola Cotumaccio:
Graphs can be succinctly indexed for pattern matching in $ O(|E|^2 + |V|^{5 / 2}) $ time. - Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
On the Stochastic Stability of Deep Markov Models. - Christopher Harper, Greg Chance, Abanoub Ghobrial, Saquib Alam, Tony Pipe, Kerstin Eder:
Safety Validation of Autonomous Vehicles using Assertion-based Oracles. - Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu:
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems. - (Withdrawn) Safe Control of Arbitrary Nonlinear Systems using Dynamic Extension.
- Yury Elkin, Vitaliy Kurlin:
Isometry invariant shape recognition of projectively perturbed point clouds by the mergegram extending 0D persistence. - Stijn Koppen, Matthijs Langelaar, Fred van Keulen:
Efficient multi-partition topology optimization. - Stijn Koppen, Matthijs Langelaar, Fred van Keulen:
A simple and versatile topology optimization formulation for flexure synthesis. - Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan:
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. - Renato Cardoso, Dejan Golubovic, Ignacio Peluaga Lozada, Ricardo Rocha, João Fernandes, Sofia Vallecorsa:
Accelerating GAN training using highly parallel hardware on public cloud. - Tuan Anh Nguyen, Martin Hutzenthaler:
Strong convergence rate of Euler-Maruyama approximations in temporal-spatial Hölder-norms. - Marco Bucchi, Alejandro Grez, Andrés Quintana, Cristian Riveros, Stijn Vansummeren:
CORE: a COmplex event Recognition Engine. - Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates. - Chulin Wang, Kyongmin Yeo, Xiao Jin, Andrés Codas, Levente J. Klein, Bruce Elmegreen:
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process. - Nicolaos E. Manitara, Apostolos I. Rikos, Christoforos N. Hadjicostis:
Privacy-Preserving Distributed Average Consensus in Finite Time using Random Gossip. - Hanaa Abumarshoud, Bassant Selim, Mallik Tatipamula, Harald Haas:
Intelligent Reflecting Surfaces for Enhanced NOMA-based Visible Light Communications. - Luigi Celona, Marco Leonardi, Paolo Napoletano, Alessandro Rozza:
Composition and Style Attributes Guided Image Aesthetic Assessment. - Stan Broere, Mauro Salazar:
Minimum-lap-time Control Strategies for All-wheel Drive Electric Race Cars via Convex Optimization. - (Withdrawn) Adaptive Steganography Based on bargain Game.
- Aaron Geary, Marco Calderini, Constanza Riera, Pantelimon Stanica:
Higher Order $c$-Differentials. - Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma:
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data. - Sajad Khatiri, Christian Birchler, Bill Bosshard, Alessio Gambi, Sebastiano Panichella:
Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software. - Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Approximate Neural Architecture Search via Operation Distribution Learning. - David Pujol, Ashwin Machanavajjhala:
Equity and Privacy: More Than Just a Tradeoff. - Jiazhi Li, Wael Abd-Almageed:
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition. - Giovanni Interdonato, Stefano Buzzi:
Joint Optimization of Uplink Power and Computational Resources in Mobile Edge Computing-Enabled Cell-Free Massive MIMO. - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
SMU: smooth activation function for deep networks using smoothing maximum technique. - Karthikeyan K, Anders Søgaard:
Revisiting Methods for Finding Influential Examples. - Zhongxia Yan, Cathy Wu:
Reinforcement Learning for Mixed Autonomy Intersections. - Vidya Muthukumar, Akshay Krishnamurthy:
Universal and data-adaptive algorithms for model selection in linear contextual bandits. - David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones:
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. - Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis:
Interactive Inverse Reinforcement Learning for Cooperative Games. - Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath:
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis. - Amr Alanwar, Muhammad Umar B. Niazi, Karl Henrik Johansson:
Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics. - Mislav Balunovic, Dimitar I. Dimitrov, Robin Staab, Martin T. Vechev:
Bayesian Framework for Gradient Leakage. - Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath:
OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features. - Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter:
Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. - Johannes Klicpera, Chandan Yeshwanth, Stephan Günnemann:
Directional Message Passing on Molecular Graphs via Synthetic Coordinates. - Kailiang Wu, Chi-Wang Shu:
Geometric Quasilinearization Framework for Analysis and Design of Bound-Preserving Schemes. - Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon:
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. - Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon:
Estimating High Order Gradients of the Data Distribution by Denoising. - Sitan Chen, Adam R. Klivans, Raghu Meka:
Efficiently Learning Any One Hidden Layer ReLU Network From Queries. - Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth:
Survey of Deep Learning Methods for Inverse Problems. - Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki:
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling. - Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. - Nicolas Chevaugeon, Nicolas Moës:
Lipschitz regularization for fracture: the Lip-field approach. - Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti:
ML-EXray: Visibility into ML Deployment on the Edge. - Farzin Negahbani, Onur Berk Töre, Fatma Güney, Baris Akgün:
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection. - Chandradeep Singh, Chia-Hsiang Lin, Kamal Singh:
Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels. - Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce:
Visual Question Answering based on Formal Logic. - Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates. - Deepak Kapur:
Modularity and Combination of Associative Commutative Congruence Closure Algorithms enriched with Semantic Properties. - Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Deep Learning Approach for Aggressive Driving Behaviour Detection. - Ehsan Asadi Kangarshahi, Albert Guillén i Fàbregas:
A Sphere-Packing Error Exponent for Mismatched Decoding. - Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. - Marian Gusatu, Ruxandra F. Olimid:
Improved security solutions for DDoS mitigation in 5G Multi-access Edge Computing. - Eden Chlamtác, Yury Makarychev, Ali Vakilian:
Approximating Fair Clustering with Cascaded Norm Objectives. - Irit Dinur, Shai Evra, Ron Livne, Alexander Lubotzky, Shahar Mozes:
Locally Testable Codes with constant rate, distance, and locality. - Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg:
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. - Jaimie Swartz, Federico Celi, Fabio Pasqualetti, Alexandra von Meier:
Parameter Conditions to Prevent Voltage Oscillations Caused by LTC-Inverter Hunting on Power Distribution Grids. - Sawsan Emad, Amr Alanwar, Yousra Alkabani, M. Watheq El-Kharashi, Henrik Sandberg, Karl Henrik Johansson:
Privacy Guarantees for Cloud-based State Estimation using Partially Homomorphic Encryption. - Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl:
Explaining Hyperparameter Optimization via Partial Dependence Plots. - Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. - Adamo Young, Bo Wang, Hannes L. Röst:
MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers. - Janet Layne, Edoardo Serra:
Inferential SIR-GN: Scalable Graph Representation Learning. - Chen Liang, Nahyun Kwon, Jeeeun Kim:
Creative Compensation (CC): Future of Jobs with Creative Works in 3D Printing. - YooJung Choi, Tal Friedman, Guy Van den Broeck:
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. - Ruihao Zhu, Branislav Kveton:
Safe Optimal Design with Applications in Policy Learning. - Haipeng Cai, Xiaoqin Fu:
D$^2$ABS: A Framework for Dynamic Dependence Abstraction of Distributed Programs. - Patric M. Fulop, Vincent Danos:
Efficient estimates of optimal transport via low-dimensional embeddings. - Eric Chu:
Evolving Evocative 2D Views of Generated 3D Objects. - Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian:
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Safwen Naimi, Rien van Leeuwen, Wided Souidène, Slim Ben Saoud:
Hybrid BYOL-ViT: Efficient approach to deal with small datasets. - Aldo Pacchiano, Aadirupa Saha, Jonathan Lee:
Dueling RL: Reinforcement Learning with Trajectory Preferences. - Rohan K. Mehta, Andrew P. Sabelhaus, Carmel Majidi:
Learned Dynamics of Electrothermally-Actuated Soft Robot Limbs Using LSTM Neural Networks. - Anna Asch, Ethan Brady, Hugo Gallardo, John Hood, Bryan Chu, Mohammad Farazmand:
Model-assisted deep learning of rare extreme events from partial observations. - Alberto Del Pia, Matthias Walter:
Simple odd $β$-cycle inequalities for binary polynomial optimization. - Lizuo Liu, Wei Cai:
Multiscale DeepONet for Nonlinear Operators in Oscillatory Function Spaces for Building Seismic Wave Responses. - Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas, Jonathan May, Wael Abd-Almageed:
Explaining Face Presentation Attack Detection Using Natural Language. - Rodrigo M. Pereira, Natacha Nguyen Van Yen, Kai Schneider, Marie Farge:
Adaptive solution of initial value problems by a dynamical Galerkin scheme. - Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins:
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. - Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh:
Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL. - Charles B. Delahunt, J. Nathan Kutz:
A toolkit for data-driven discovery of governing equations in high-noise regimes. - Zane Fink, Simeng Liu, Jaemin Choi, Matthias Diener, Laxmikant V. Kalé:
Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py. - Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan:
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit. - Sambit Mohapatra, Mona Hodaei, Senthil Kumar Yogamani, Stefan Milz, Patrick Maeder, Heinrich Gotzig, Martin Simon, Hazem Rashed:
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. - Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek:
Papaya: Practical, Private, and Scalable Federated Learning. - Martin R. Pfaller, Jonathan Pham, Aekaansh Verma, Nathan M. Wilson, David W. Parker, Weiguang Yang, Alison L. Marsden:
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow. - Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
EvoLearner: Learning Description Logics with Evolutionary Algorithms. - Wei Xu:
User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction. - Andrej Brodnik, Andrew Csizmadia, Gerald Futschek, Lidija Kralj, Violetta Lonati, Peter Micheuz, Mattia Monga:
Programming for All: Understanding the Nature of Programs. - Cameron Musco, Christopher Musco, David P. Woodruff, Taisuke Yasuda:
Active Sampling for Linear Regression Beyond the $\ell_2$ Norm. - Akifumi Wachi, Yunyue Wei, Yanan Sui:
Safe Policy Optimization with Local Generalized Linear Function Approximations. - Shi Li:
Nearly-Linear Time Approximate Scheduling Algorithms. - Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang:
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives. - Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-tailed Classification. - Oliver Biggar, Mohammad Zamani, Iman Shames:
Modular Decomposition of Hierarchical Finite State Machines. - Dezhou Shen:
FPM: A Collection of Large-scale Foundation Pre-trained Language Models. - William S. Chao:
Structure-Behavior Coalescence Process Algebra - Toward a Unified View of the System in Model-Based Systems Engineering. - Nicholas V. Giamblanco, Andrew Schmidt:
vlang: Mapping Verilog Netlists to Modern Technologies. - Rongsheng Wu, Minjia Shi, Patrick Solé:
On the structure of $1$-generator quasi-polycyclic codes over finite chain rings. - Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak:
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. - Ying Zhang, Matthew A. Gitzendanner, Dan S. Maxwell, Justin W. Richardson, Kaleb E. Smith, Eric A. Stubbs, Brian J. Stucky, Jingchao Zhang, Erik Deumens:
Building an AI-ready RSE Workforce. - Sitong Wang, Lydia B. Chilton:
PopNet: a Pop Culture Knowledge Association Network for Supporting Creative Connections. - Yunhui He:
Novel mass-based multigrid relaxation schemes for the Stokes equations. - Yipei Wang, Xiaoqian Wang:
Self-Interpretable Model with TransformationEquivariant Interpretation. - Qiulin Wang, Lu Zhang, Bo Li:
SAFA: Structure Aware Face Animation. - Ashish Anil Pawar, Ujwal Warbhe:
Optimizing Bayesian acquisition functions in Gaussian Processes. - Bingkun Chen, Shaobing Dai, Shenghua Zheng, Lei Liao, Yang Li:
DSBERT: Unsupervised Dialogue Structure learning with BERT. - Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester:
An Interactive Visualization Tool for Understanding Active Learning. - Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang:
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting. - Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Zhang Xiong:
PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval. - Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan:
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. - Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele:
How to Train Your Neural Network: A Comparative Evaluation. - Jiacheng Tang, Shiping Shao, Jiguo Song, Abhishek Gupta:
Nash Equilibrium Control Policy against Bus-off Attacks in CAN Networks. - Songqiao Han, Hailiang Huang, Jiangwei Liu, Shengsheng Xiao:
American Hate Crime Trends Prediction with Event Extraction. - Jiacheng Tang, Jiguo Song, Abhishek Gupta:
A Dynamic Watermarking Algorithm for Finite Markov Decision Problems. - Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury:
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. - Amir Abboud, Robert Krauthgamer, Jason Li, Debmalya Panigrahi, Thatchaphol Saranurak, Ohad Trabelsi:
Gomory-Hu Tree in Subcubic Time. - Giuseppe Coviello, Kunal Rao, Murugan Sankaradass, Srimat T. Chakradhar:
DataX: A system for Data eXchange and transformation of streams. - Hassan Yakout El-Arsh, Amr Abdelaziz, Ahmed S. Elliethy, Hussein A. Aly:
Information-Theoretic Limits for Steganography in Multimedia. - Nathan Leroux, Arnaud De Riz, Dédalo Sanz-Hernández, Danijela Markovic, Alice Mizrahi, Julie Grollier:
Convolutional Neural Networks with Radio-Frequency Spintronic Nano-Devices. - Yilin Wen, Zechun Hu, Shi You, Xiaoyu Duan:
Aggregated Feasible Region of Heterogeneous Demand-Side Flexible Resources - Part I: Theoretical Derivation of the Exact Model. - Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo:
On Representation Knowledge Distillation for Graph Neural Networks. - Wangyang Xu, Jiancheng An, Yongjun Xu, Chongwen Huang, Lu Gan, Chau Yuen:
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning. - Stefan Radic Webster, Peter A. Flach:
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning. - Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala, Chandra R. Murthy:
Evaluation Of Orthogonal Chirp Division Multiplexing For Automotive Integrated Sensing And Communications. - Jaydip Sen, Saikat Mondal, Sidra Mehtab:
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model. - Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller:
Data-Based Moving Horizon Estimation for Linear Discrete-Time Systems. - Huidong Liang, Junbin Gao:
Wasserstein Adversarially Regularized Graph Autoencoder. - Hyeongjun Kwon, Somi Jeong, Sunok Kim, Kwanghoon Sohn:
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation. - Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao:
Dynamic Parameterized Network for CTR Prediction. - Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao:
Unified Group Fairness on Federated Learning. - Yuzhe Gao, Xing Li, Jiajian Zhang, Yu Zhou, Dian Jin, Jing Wang, Shenggao Zhu, Xiang Bai:
Video Text Tracking With a Spatio-Temporal Complementary Model. - Mehmet Görkem Ulkar, Osman Erman Okman:
Ultra-Low Power Keyword Spotting at the Edge. - Liling Gong, Ye Guo, Hongbin Sun:
MPC-Based Real-Time Charging Coordination for Electric Vehicle Aggregator to Provide Regulation Service in a Market Environment. - Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. - Yan Gu, Zachary Napier, Yihan Sun:
Analysis of Work-Stealing and Parallel Cache Complexity. - José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez:
Learning Numerical Action Models from Noisy Input Data. - Tomoyuki Yamakami:
Behavioral Strengths and Weaknesses of Various Models of Limited Automata. - Clément Legrand-Duchesne, Ashutosh Rai, Martin Tancer:
Parameterized complexity of untangling knots. - Mahmood Azhar Qureshi, Arslan Munir:
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks. - Stephan Lukasczyk, Florian Kroiß, Gordon Fraser:
An Empirical Study of Automated Unit Test Generation for Python. - Stefano Cassano, Fabrizio Sossan:
Model Predictive Control for a Medium-head Hydropower Plant Hybridized with Battery Energy Storage to Reduce Penstock Fatigue. - Ilija Bogunovic, Andreas Krause:
Misspecified Gaussian Process Bandit Optimization. - Mária Lukácová-Medvidová, Bangwei She, Yuhuan Yuan:
Error estimates of the Godunov method for the multidimensional compressible Euler system. - Antoine Caillon, Philippe Esling:
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis. - Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha:
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. - Hongjun Liu, Xingyuan Wang, Yuxuan Li:
Cryptanalyze and design strong S-Box using 2D chaotic map and apply to irreversible key expansion. - Moses Ganardi, Pawel Gawrychowski:
Pattern Matching on Grammar-Compressed Strings in Linear Time. - Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
An effective hybrid search algorithm for the multiple traveling repairman problem with profits. - Keiichi Shima, Ryo Nakamura, Kazuya Okada, Tomohiro Ishihara, Daisuke Miyamoto, Yuji Sekiya:
Classifying DNS Servers based on Response Message Matrix using Machine Learning. - Gérald Kembellec:
Multimodal intelligibility of scholarly hypertext: the documentalist's contribution. A required collaboration for serial documentisation in the scientific editorial process. - Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty:
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. - Mai Nishimura, Shohei Nobuhara, Ko Nishino:
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements. - Thi Kim Nhung Dang, Doina Bucur, Berk Atil, Guillaume Pitel, Frank Ruis, Hamid Reza Kadkhodaei, Nelly Litvak:
Prediction of new outlinks for focused Web crawling. - Pengfei Xia, Ziqiang Li, Bin Li:
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search. - Zixiang Fei, Erfu Yang, Leijian Yu, Xia Li, Huiyu Zhou, Wenju Zhou:
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly. - Songqiao Han, Hailiang Huang, Jiangwei Liu:
Neural News Recommendation with Event Extraction. - Vibhor Porwal, Piyush Srivastava, Gaurav Sinha:
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. - Jakob Mökander, Maria Axente, Federico Casolari, Luciano Floridi:
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation. - Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. - Pengfei Xia, Hongjing Niu, Ziqiang Li, Bin Li:
A Statistical Difference Reduction Method for Escaping Backdoor Detection. - Seunghyeon Kim, Jihoon Ryoo, Dongyeob Lee, Youngho Kim:
Residual Quantity in Percentage of Factory Machines Using ComputerVision and Mathematical Methods. - Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao:
Speaker Generation. - Hyunyeon Kim, Kyung Eun Kim, Soohan Park, Jongsoo Sohn:
E-voting System Using Homomorphic Encryption and Blockchain Technology to Encrypt Voter Data. - Tarek Saier, Michael Färber, Tornike Tsereteli:
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact. - João Pedro do Valle Alvarenga, Jeaneth Machicao, Odemir Martinez Bruno:
Chaotical PRNG based on composition of logistic and tent maps using deep-zoom. - Zhi Lu, Vrizlynn L. L. Thing:
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector. - Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue:
Population Protocols for Graph Class Identification Problems. - Wei-Cheng Tseng, Wei-Tsung Kao, Hung-yi Lee:
Membership Inference Attacks Against Self-supervised Speech Models. - Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Attack time analysis in dynamic attack trees via integer linear programming. - Hongli Li, Yonghui Wang, Yongbiao Ma, Wenyi Jia, Liang Bai:
AEAD Modes for ZUC Family Stream Ciphers. - Petr N. Vabishchevich:
Approximate solution of the Cauchy problem for a first-order integrodifferential equation with solution derivative memory. - Pablo Samuel Castro:
Losses, Dissonances, and Distortions. - Lina Ochoa, Thomas Degueule, Jean-Rémy Falleri:
Analyzing the Impact of Pull Requests to Guide Library Evolution. - Alexander Michael Daniel:
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else? - Alexander Wenz, Florian Keusch:
The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities. - Safa Alsaidi, Amandine Decker, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro:
Tackling Morphological Analogies Using Deep Learning - Extended Version. - Michael Danner, Thomas Weber, Le Ping Peng, Tobias Gerlach, Xueping Su, Matthias Rätsch:
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction. - Lei Zhang, Pingwen Zhang, Xiangcheng Zheng:
Optimal-order error estimates for Euler discretization of high-index saddle dynamics. - Stefania Costantini:
Self-checking Logical Agents. - Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information Retrieval. - Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. - Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu:
Exploiting Robust Unsupervised Video Person Re-identification. - Wenxiao Zhang, Sikun Lin, Farshid Hassani Bijarbooneh, Hao Fei Cheng, Tristan Braud, Pengyuan Zhou, Lik-Hang Lee, Pan Hui:
EdgeXAR: A 6-DoF Camera Multi-target Interaction Framework for MAR with User-friendly Latency Compensation. - Aaron Valero Puche, Sukhan Lee:
CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders. - Lukas Brand, Sebastian Lotter, Vahid Jamali, Robert Schober, Maximilian Schäfer:
Area Rate Efficiency in Multi-Link Molecular Communications. - Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin:
On Training Implicit Models. - Harbir Antil, Sergey Dolgov, Akwum Onwunta:
TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization. - Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer:
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0. - Shruthi Gowda, Bahram Zonooz, Elahe Arani:
Does Thermal data make the detection systems more reliable? - Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li:
A Survey on Green Deep Learning. - David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh:
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation. - Arindam Khan, Aditya Subramanian, Andreas Wiese:
A PTAS for the horizontal rectangle stabbing problem. - Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. - Erfan Ghorbani, Hossein Karimpour, Venus Pasandi, Mehdi Keshmiri:
Footstep Adjustment for Biped Push Recovery on Slippery Surfaces. - Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. - Toru Takahashi, Masaki Tanigawa, Naoya Miyazawa:
An enhancement of the fast time-domain boundary element method for the three-dimensional wave equation. - Bradley M. Bell, Kasper Kristensen:
Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation. - Anupam Das, Alex A. Rice:
Enumerating Independent Linear Inferences. - Dong Li, Chaoyu Quan, Wen Yang:
An F-modulated stability framework for multistep methods. - Jari J. van Steen, Nathan van de Wouw, Alessandro Saccon:
Robot control for simultaneous impact tasks via QP based reference spreading. - Sambeet Mishra, Henri Manninen, Qiuwei Wu, Chiara Bordin:
Resilient expansion planning of virtual energy plant with an integrated energy system - reliability criteria of lines and towers. - Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld:
A Topological Data Analysis Based Classifier. - Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby:
A research framework for writing differentiable PDE discretizations in JAX. - Gnana Praveen R., Eric Granger, Patrick Cardinal:
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition. - Ivan Heibi, Silvio Peroni:
A quantitative and qualitative citation analysis of retracted articles in the humanities. - Mikhail Fomichev, Luis F. Abanto-Leon, Max Stiegler, Alejandro Molina, Jakob Link, Matthias Hollick:
Next2You: Robust Copresence Detection Based on Channel State Information. - Yen-Hsiang Chang, Jianhao Pu, Wen-Mei W. Hwu, Jinjun Xiong:
MLHarness: A Scalable Benchmarking System for MLCommons. - Shaojie Li, Yong Liu:
Learning Rates for Nonconvex Pairwise Learning. - Jialiang Shi, Piyush Ghasiya, Kazutoshi Sasahara:
Psycho-linguistic differences among competing vaccination communities on social media. - Deepak Kumaraswamy, Srinivas Vivek:
Cryptanalysis of the Privacy-Preserving Ride-Hailing Service TRACE. - Jessica Huynh, Jeffrey P. Bigham, Maxine Eskénazi:
A Survey of NLP-Related Crowdsourcing HITs: what works and what does not. - Silvia Sellán, Jack Luong, Leticia Mattos Da Silva, Aravind Ramakrishnan, Yuchuan Yang, Alec Jacobson:
Breaking Good: Fracture Modes for Realtime Destruction. - Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Learning Perceptual Concepts by Bootstrapping from Human Queries. - Sebastian Biewer, Bernd Finkbeiner, Holger Hermanns, Maximilian A. Köhl, Yannik Schnitzer, Maximilian Schwenger:
RTLola on Board: Testing Real Driving Emissions on your Phone. - Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit:
Logarithmic Regret from Sublinear Hints. - Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple:
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. - Appan Rakaraddi, Mahardhika Pratama:
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. - Yubai Yuan, Annie Qu:
High-order joint embedding for multi-level link prediction. - Aman Barot, Shankar Bhamidi, Souvik Dhara:
Community detection using low-dimensional network embedding algorithms. - Bogdan Oancea, David Salgado, Luis Sanguiao Sande, Sandra Barragan:
A set of R packages to estimate population counts from mobile phone data. - Izzat Alsmadi, Michael J. O'Brien:
Event Detection in Twitter: A Content and Time-Based Analysis. - Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy:
Towards a Unified Information-Theoretic Framework for Generalization. - Spyros Angelopoulos, Diogo Arsénio, Shahin Kamali:
Competitive Sequencing with Noisy Advice. - Paul Kirkland, Davide L. Manna, Alex Vicente-Sola, Gaetano Di Caterina:
Unsupervised Spiking Instance Segmentation on Event Data using STDP. - Oscar Dieste, Fernando Uyaguari, Natalia Juristo:
Test cases as a measurement instrument in experimentation. - Rahmadi Trimananda, Weiyu Luo, Brian Demsky, Guoqing Harry Xu:
Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not Terminate. - Xingtong Yang, Xinzhuo Hu, Liangchao Zhu, Ming Li:
Lattice structure design optimization under localized linear buckling constraints. - Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink:
Resistance Distance and Control Performance for Google bittide Synchronization. - Zhiqiang Shen, Zechun Liu, Eric P. Xing:
Sliced Recursive Transformer. - Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? - Cristóbal Ramírez Lazo, Enrico Reggiani, Carlos Rojas Morales, Roger Figueras Bagué, Luis Alfonso Villa Vargas, Marco Antonio Ramírez Salinas, Mateo Valero Cortés, Osman Sabri Unsal, Adrián Cristal:
Adaptable Register File Organization for Vector Processors. - Magdalena Mittermeier, Maximilian Weigert, David Rügamer:
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach. - Brek Meuris, Saad Qadeer, Panos Stinis:
Machine-learning custom-made basis functions for partial differential equations. - Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. - Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. - Patrick Leu, Giovanni Camurati, Alexander Heinrich, Marc Roeschlin, Claudio Anliker, Matthias Hollick, Srdjan Capkun, Jiska Classen:
Ghost Peak: Practical Distance Reduction Attacks Against HRP UWB Ranging. - Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam:
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. - Shubhendu Jena, Franck Multon, Adnane Boukhayma:
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features. - Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. - Preetum Nakkiran:
Turing-Universal Learners with Optimal Scaling Laws. - Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Multi-Task Learning with Gumbel-Softmax Priors. - Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye:
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. - Ezequiel Scott, Marcelo Campo:
An adaptive 3D virtual learning environment for training software developers in scrum. - Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann:
Data Augmentation Can Improve Robustness. - Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity. - Hamza Ali Imran, Saad Wazir, Usman Iftikhar, Usama Latif:
Classifying Human Activities with Inertial Sensors: A Machine Learning Approach. - Sebastian Dingler:
Fitting ellipses to noisy measurements. - Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi:
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. - Stephen I. Gallant, Mirza Nasir Hossain:
DataWords: Getting Contrarian with Text, Structured Data and Explanations. - Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti:
Identifying the Risks of Chronic Diseases Using BMI Trajectories. - Sándor P. Fekete, Andreas Haas, Phillip Keldenich, Michael Perk, Arne Schmidt:
Computing Area-Optimal Simple Polygonizations. - Reijo Jaakkola:
Complexity of the Ackermann fragment with one leading existential quantifier. - Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng:
Statistical Perspectives on Reliability of Artificial Intelligence Systems. - Minyoung Kim, Timothy M. Hospedales:
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation. - Nanbo Li, Muhammad Ahmed Raza, Wenbin Hu, Zhaole Sun, Robert B. Fisher:
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization. - Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro:
Optimizing robot planning domains to reduce search time for long-horizon planning. - Peter Kern, Daniel Neugebauer, Jörg Rothe, René L. Schilling, Dietrich Stoyan, Robin Weishaupt:
Cutting a Cake Is Not Always a "Piece of Cake": A Closer Look at the Foundations of Cake-Cutting Through the Lens of Measure Theory. - Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-level Relation Extraction. - Shivam Grover, Kshitij Sidana, Vanita Jain:
Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras. - Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra:
Convolutional Neural Network Dynamics: A Graph Perspective. - Manuela Nayantara Jeyaraj, Dharshana Kasthurirathna:
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity. - Mrinmoy Sarkar, Xuyang Yan, Abenezer Girma, Abdollah Homaifar:
A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm. - Jieyan Zhu:
A Computational Approach to Walt Whitman's Stylistic Changes in Leaves of Grass. - Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. - Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine:
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. - Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia:
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution. - Abhishek Kumar, Ehsan Amid:
Constrained Instance and Class Reweighting for Robust Learning under Label Noise. - Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. - Hafiz Anwar Ullah Khan, Sara Price, Charalampos Avraam, Yury Dvorkin:
Inequitable Access to EV Charging Infrastructure. - Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan:
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. - Shubham Trehan, Sathyanarayanan N. Aakur:
Towards Active Vision for Action Localization with Reactive Control and Predictive Learning. - Da Qi Chen, R. Ravi, Oleksandr Rudenko:
Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models. - Aleksei Triastcyn, Matthias Reisser, Christos Louizos:
DP-REC: Private & Communication-Efficient Federated Learning. - Javad Sabzehali, Vijay K. Shah, Qiang Fan, Biplav Choudhury, Lingjia Liu, Jeffrey H. Reed:
Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks. - Surbhi Vasudeva, Sara Tehranipoor, Nima Karimian:
Intrinsic PUF Instance on Non-Volatile NAND Flash Memory. - Allen Starke, Keerthiraj Nagaraj, Cody Ruben, Nader Aljohani, Sheng Zou, Arturo S. Bretas, Janise McNair, Alina Zare:
Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security. - Dimitrios Antoniadis, Andrea Mifsud, Peilong Feng, Timothy G. Constandinou:
An Open-Source RRAM Compiler. - Yutong Bai, Jieru Mei, Alan L. Yuille, Cihang Xie:
Are Transformers More Robust Than CNNs? - Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. - Uche A. Nnolim:
Analysis of PDE-based binarization model for degraded document images. - Fernando Zanferrari Morais, Gustavo Zanatta Bruno, Julio Renner, Gabriel Matheus de Almeida, Luis M. Contreras, Rodrigo da Rosa Righi, Kleber Vieira Cardoso, Cristiano Bonato Both:
OPlaceRAN - a Placement Orchestrator for Virtualized Next-Generation of Radio Access Network. - Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu:
Learning to Disentangle Scenes for Person Re-identification. - Gregory Schwartzman:
SGD Through the Lens of Kolmogorov Complexity. - Jaehyun Kim, Jaeseung Jeong:
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving. - Noah Kaufmann:
A Functional Zip Operation On Streams. - Arkaprabha Basu, M. Sathya:
Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique. - Jiaxin Li, Yan Ding, Weizhong Zhang, Yifan Zhao, Lingxi Guo, Zhe Yang:
A Structure Feature Algorithm for Multi-modal Forearm Registration. - Jibang Wu, Haifeng Xu, Fan Yao:
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. - Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao:
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. - Trenton Bricken, Cengiz Pehlevan:
Attention Approximates Sparse Distributed Memory. - Navdeep Jain, Hongcheng Wang:
Inclusive Speaker Verification with Adaptive thresholding. - Dinh Dung:
Collocation approximation by deep neural ReLU networks for parametric elliptic PDEs with lognormal inputs. - Zhikun Chen, Daofeng Li, Jinkang Zhu, Sihai Zhang:
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology. - Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang:
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. - Huiqing Qi, Fang Li, Shengli Tan, Xiangyun Zhang:
Training Generative Adversarial Networks with Adaptive Composite Gradient. - Shaoru Chen, Nikolai Matni, Manfred Morari, Victor M. Preciado:
System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation. - Dohae Lee, Young-Jin Oh, In-Kwon Lee:
Discovering Latent Representations of Relations for Interacting Systems. - Boris Bukh, Karthik C. S., Bhargav Narayanan:
Applications of Random Algebraic Constructions to Hardness of Approximation. - Keigo Takeuchi:
On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy. - Ngoc Ai Van Nguyen, Minh Thuy Truc Pham:
Anonymous communication system provides a secure environment without leaking metadata, which has many application scenarios in IoT. - Zahra Rahimpour, Gregor Verbic, Archie C. Chapman:
Can phase change materials in building insulation improve self-consumption of residential rooftop solar? An Australian case study. - Sizhe Li, Yapeng Tian, Chenliang Xu:
Space-Time Memory Network for Sounding Object Localization in Videos. - Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme:
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. - Kongyang Chen, Yiwen Wang, Yao Huang:
Lightweight machine unlearning in neural network. - Sicheng Zhu, Bang An, Furong Huang:
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. - Chiao Hsieh, Keyur Joshi, Sasa Misailovic, Sayan Mitra:
Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions. - Ming-Chun Lee, Andreas F. Molisch:
Optimal Delay-Outage Analysis for Noise-Limited Wireless Networks with Caching, Computing, and Communications - Derivations and Proofs. - Wataru Sasaki, Hiroshi Kawane, Satoko Miyahara, Kota Tsubouchi, Tadashi Okoshi:
Nation-wide Mood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data. - Kwok-Leung Chan, Liping Li, Arthur Wing-Tak Leung, Ho-Yin Chan:
3D modelling of survey scene from images enhanced with a multi-exposure fusion. - Ajinkya Gaikwad, Soumen Maity:
Defensive Alliances in Graphs. - Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar:
Biomarker Gene Identification for Breast Cancer Classification. - Rubèn Tito, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas:
ICDAR 2021 Competition on Document VisualQuestion Answering. - Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Deep Attention-guided Graph Clustering with Dual Self-supervision. - Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu:
On Designing a Two-stage Auction for Online Advertising. - Omar Alfarisi, Zeyar Aung, Mohamed Sassi:
Deducing of Optimal Machine Learning Algorithms for Heterogeneity. - Mark Griguletskii, Mikhail O. Chekanov, Oleg Shipitko:
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography. - Masoud Mansoury:
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems. - Nyothiri Aung, Sahraoui Dhelim, Liming Chen, Wenyin Zhang, Abderrahmane Lakas, Huansheng Ning:
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning. - Achraf Othman:
Tawsol Symbols 3D - Towards an innovative Picture Exchange Communication Systems PECS. - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
Topic-aware latent models for representation learning on networks. - Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational Recommendation: Theoretical Model and Complexity Analysis. - Alvet Miranda, Shah Jahan Miah:
Design Theory to improve health evidence retrieval. - Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona:
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes. - Victor Lazzarini, Joseph Timoney:
Improving the Chamberlin Digital State Variable Filter. - Gonzalo Gonzalez de Diego, Patrick E. Farrell, Ian J. Hewitt:
Numerical approximation of viscous contact problems applied to glacial sliding. - Andrea Franceschini, Matteo Frigo, Carlo Janna, Massimiliano Ferronato:
A Reverse Augmented Constraint preconditioner for Lagrange multiplier methods in contact mechanics. - Stijn Schouten, Victor de Boer, Lodewijk Petram, Marieke van Erp:
The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph. - Henry von Wahl, Thomas Richter:
Error Estimate for the Heat Equation on a Coupled Moving Domain in a Fully Eulerian Framework. - Zijian Gao, Jingyu Liu, Sheng Chen, Dedan Chang, Hao Zhang, Jinwei Yuan:
CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval. - Niklas Metzger, Sanny Schmitt, Maximilian Schwenger:
Conservative Hybrid Automata from Development Artifacts. - Florian Langer, Ignas Budvytis, Roberto Cipolla:
Leveraging Geometry for Shape Estimation from a Single RGB Image. - Candan Güdücü, Jörg Liesen, Volker Mehrmann, Daniel B. Szyld:
On non-Hermitian positive (semi)definite linear algebraic systems arising from dissipative Hamiltonian DAEs. - Takeshi Tsukada, Hiroshi Unno:
Software Model-Checking as Cyclic-Proof Search. - Thomas Weng, Sujay Bajracharya, Yufei Wang, Khush Agrawal, David Held:
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy. - Esma Mansouri-Benssassi, Simon Rogers, Jim Smith, Felix Ritchie, Emily R. Jefferson:
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities. - Patrick W. Dondl, Johannes Müller, Marius Zeinhofer:
Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems. - Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. - Yuhao Huang:
Parallel Physics-Informed Neural Networks with Bidirectional Balance. - Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. - Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
Social Fraud Detection Review: Methods, Challenges and Analysis. - Jiwei Yan, Shixin Zhang, Yepang Liu, Jun Yan, Jian Zhang:
Towards Practical Evaluation of Android ICC Resolution Techniques. - Nick Brown:
Porting incompressible flow matrix assembly to FPGAs for accelerating HPC engineering simulations. - Wietse M. Boon, Martin Hornkjøl, Miroslav Kuchta, Kent-André Mardal, Ricardo Ruiz-Baier:
Parameter-robust methods for the Biot-Stokes interfacial coupling without Lagrange multipliers. - Nick Brown, Rupert Nash, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Markus Flatken, Jules Vidal, Charles Gueunet, Evgenij Belikov, Julien Tierny, Artur Podobas, Wei Der Chien, Stefano Markidis, Andreas Gerndt:
Utilising urgent computing to tackle the spread of mosquito-borne diseases. - Teresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa T. Bui, Bea Bleile, Vanessa Robins:
The Impact of Changes in Resolution on the Persistent Homology of Images. - Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Covert Communication With Mismatched Decoders. - Zhaoxing Yang, Rong Ding, Haiming Jin, Yifei Wei, Haoyi You, Guiyun Fan, Xiaoying Gan, Xinbing Wang:
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning. - Kholoud Alsubhi, Amani T. Jamal, Areej Alhothali:
Pre-trained Transformer-Based Approach for Arabic Question Answering : A Comparative Study. - Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick:
Automatically detecting data drift in machine learning classifiers. - Donghao Li, Hankun Deng, Yagiz E. Bayiz, Bo Cheng:
Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots. - Federica Caforio, Christoph M. Augustin, Jordi Alastruey, Matthias A. F. Gsell, Gernot Plank:
A coupling strategy for a 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function. - Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. - Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. - Rohan Ghuge, Anupam Gupta, Viswanath Nagarajan:
Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation. - Antoine Vacavant, Bertrand Kerautret, Fabien Feschet:
Robust reconstructions by multi-scale/irregular tangential covering. - Eitan Kosman, Joel Oren, Dotan Di Castro:
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. - Zhengguo Li, Haiyan Shu, Chaobing Zheng:
Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids. - Yuwen Li, Chaobing Zheng, Shiqian Wu, Wangming Xu:
Single image dehazing via combining the prior knowledge and CNNs. - Hui Yu, Shiyu Zhao, Jianyu Shi:
STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions. - Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li:
Object Servoing of Differential-Drive Robots. - Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, Satish Chandra:
Counterfactual Explanations for Models of Code. - Omar I. Al-Bataineh, Anastasiia Grishina, Leon Moonen:
Towards More Reliable Automated Program Repair by Integrating Static Analysis Techniques. - Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis:
A Hierarchy of Network Models Giving Bistability Under Triadic Closure. - Xiaowen Cao, Guangxu Zhu, Jie Xu, Shuguang Cui:
Transmission Power Control for Over-the-Air Federated Averaging at Network Edge. - Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera:
Critical Sentence Identification in Legal Cases Using Multi-Class Classification. - Azeddine Bouabdallah, Jorge Gavilan, Jennifer Gerbl, Prayuth Patumcharoenpol:
Multimodal Approach for Metadata Extraction from German Scientific Publications. - Ruxin Wang, Long Huang, Chen Wang:
Preventing Handheld Phone Distraction for Drivers by Sensing the Gripping Hand. - Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat:
Prune Once for All: Sparse Pre-Trained Language Models. - Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation. - Jan Kohout, Cenek Skarda, Kyrylo Shcherbin, Martin Kopp, Jan Brabec:
A framework for comprehensible multi-modal detection of cyber threats. - Alexey V. Vishnyakov, Vlada Logunova, Eli Kobrin, Daniil O. Kuts, Darya Parygina, Andrey Fedotov:
Symbolic Security Predicates: Hunt Program Weaknesses. - Nenad Markus:
Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds. - Ahmad Biniaz, Anil Maheshwari, Michiel Smid:
Approximating bottleneck spanning trees on partitioned tuples of points. - Alexey R. Nurmukhametov, Alexey V. Vishnyakov, Vlada Logunova, Shamil F. Kurmangaleev:
MAJORCA: Multi-Architecture JOP and ROP Chain Assembler. - Jorn van Kampen, Thomas Herrmann, Mauro Salazar:
Maximum-distance Race Strategies for a Fully Electric Endurance Race Car. - Xuan Bi, Xiaotong Shen:
Distribution-Invariant Differential Privacy. - Jiang Zhang, Konstantinos Psounis, Muhammad Haroon, Zubair Shafiq:
HARPO: Learning to Subvert Online Behavioral Advertising. - Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. - Narges Ahani, Andrew C. Trapp:
Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation. - Julie Digne, Sébastien Valette, Raphaëlle Chaine, Yohann Béarzi:
Arbitrary order principal directions and how to compute them. - Luke Metz, C. Daniel Freeman, Samuel S. Schoenholz, Tal Kachman:
Gradients are Not All You Need. - Minrui Xu, Dinh Thai Hoang, Jiawen Kang, Dusit Niyato, Qiang Yan, Dong In Kim:
Secure and Reliable Transfer Learning Framework for 6G-enabled Internet of Vehicles. - Qianying Liu, Fei Cheng, Sadao Kurohashi:
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding. - Christopher Battarbee, Delaram Kahrobaei, Dylan Tailor, Siamak F. Shahandashti:
On the efficiency of a general attack against the MOBS cryptosystem. - Loïc Rakotoson, Charles Letaillieur, Sylvain Massip, Fréjus A. A. Laleye:
BagBERT: BERT-based bagging-stacking for multi-topic classification. - Petar Popovski, Federico Chiariotti, Victor Croisfelt, Anders E. Kalør, Israel Leyva-Mayorga, Letizia Marchegiani, Shashi Raj Pandey, Beatriz Soret:
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value. - Minyoung Kim:
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval. - Filipo Sharevski, Allice Huff, Peter Jachim, Emma Pieroni:
(Mis)perceptions and Engagement on Twitter: COVID-19 Vaccine Rumors on Efficacy and Mass Immunization Effort. - Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan:
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. - Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao:
Multi-Task Neural Processes. - Yuesheng Luo, Mayank Kejriwal:
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter. - Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue:
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Palette: Image-to-Image Diffusion Models. - Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari:
Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection. - Difan Deng, Marius Lindauer:
Searching in the Forest for Local Bayesian Optimization. - Galen Weld, Amy X. Zhang, Tim Althoff:
What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. - Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for PDEs. - Nikola Banic, Neven Elezovic:
Reply to Comment on "TVOR: Finding Discrete Total Variation Outliers among Histograms". - Ziyang Chen, Xixi Hu, Andrew Owens:
Structure from Silence: Learning Scene Structure from Ambient Sound. - Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Wang Yifan, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. - Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. - Dinh Dung, Van Kien Nguyen, Duong Thanh Pham:
Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs. - Martin Schmid:
Search in Imperfect Information Games. - Lev Evtodienko:
Multimodal End-to-End Group Emotion Recognition using Cross-Modal Attention. - Carine Rognon, Loïc Grossen, Stefano Mintchev, Jenifer Miehlbradt, Silvestro Micera, Dario Floreano:
A Portable and Passive Gravity Compensation Arm Support for Drone Teleoperation. - Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu:
Graph Neural Network Training with Data Tiering. - Javier Andreu-Perez, Humberto Pérez Espinosa, Eva Timonet, Mehrin Kiani, Manuel I. Girón-Pérez, Alma B. Benitez-Trinidad, Delaram Jarchi, Alejandro Rosales-Pérez, Nick Gatzoulis, Orion Fausto Reyes-Galaviz, Alejandro Antonio Torres García, Carlos A. Reyes García, Zulfiqar Ali, Francisco Rivas:
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. - Radovan Cervený, Ondrej Suchý:
Generating faster algorithms for d-Path Vertex Cover. - Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. - Sahar Mahdie Klim Al Zaidawi, Martin H. U. Prinzler, Jonas Lührs, Sebastian Maneth:
An Extensive Study of User Identification via Eye Movements across Multiple Datasets. - Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra:
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis. - Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. - Adam Husted Kjelstrøm, Andreas Pavlogiannis:
The Decidability and Complexity of Interleaved Bidirected Dyck Reachability. - Wenyu Lei:
Numerical modeling of anisotropic ferroelectric materials with hybridizable discontinuous Galerkin methods. - Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius:
A soft thumb-sized vision-based sensor with accurate all-round force perception. - Atefeh Sohrabizadeh, Yuze Chi, Jason Cong:
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation. - Krishanu Das Baksi:
Recent Advances in Automated Question Answering In Biomedical Domain. - Ha Le, Junming Wu, Louis Yu, Melissa Lynn:
A study on Channel Popularity in Twitch. - Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
A Novel Corpus of Discourse Structure in Humans and Computers. - Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. - Favyen Bastani, Songtao He, Sam Madden:
Self-Supervised Multi-Object Tracking with Cross-Input Consistency. - Thomas Asikis:
Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations. - Photios A. Stavrou, Serkan Saritas, Mikael Skoglund:
Privacy signalling games with binary alphabets. - Alex Xiao, Weiyi Zheng, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed:
Scaling ASR Improves Zero and Few Shot Learning. - Zhi Chen, Alexander C. Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin:
How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning. - Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. - Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. - Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks. - Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi:
Feature Generation for Long-tail Classification. - Téo Boutin, Werner Verdier, Alain Cartalade:
Grand-potential-based phase-field model of dissolution/precipitation: lattice Boltzmann simulations of counter term effect on porous medium. - El Mahdi Chayti, Sai Praneeth Karimireddy, Sebastian U. Stich, Nicolas Flammarion, Martin Jaggi:
Linear Speedup in Personalized Collaborative Learning. - David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. - Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela:
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training. - Chao Zhang, Jaswanth K. Yella, Yu Huang, Xiaoye Qian, Sergei Petrov, Andrey Rzhetsky, Sthitie Bom:
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word. - Wei Xu:
User Centered Design (VII): From Automated Flight Deck to Intelligent Flight Deck. - Mahmoud S. Fayed:
Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks. - Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho:
A Visual Analytics Framework for Distributed Data Analysis Systems. - Jinsoo Choi, Jaesik Park, In So Kweon:
Self-Supervised Real-time Video Stabilization. - Petra Galuscáková, Douglas W. Oard, Suraj Nair:
Cross-language Information Retrieval. - Sachithra Lokuge, Sophia Xiaoxia Duan:
Towards Understanding Enablers of Digital Transformation in Small and Medium-Sized Enterprises. - Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai L. Vu:
Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet. - Ali Alruthaya, Thanh-Thuy Nguyen, Sachithra Lokuge:
The Application of Digital Technology and the Learning Characteristics of Generation Z in Higher Education. - Andrew Cohen, Ervin Teng, Vincent-Pierre Berges, Ruo-Ping Dong, Hunter Henry, Marwan Mattar, Alexander Zook, Sujoy Ganguly:
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning. - Ruwan Nagahawatta, Sachithra Lokuge, Matthew J. Warren, Scott Salzman:
Cybersecurity Issues and Practices in a Cloud Context: A Comparison Amongst Micro, Small and Medium Enterprises. - Kazutomo Yoshii:
What Does the Post-Moore Era Mean for Research Software Engineering? - Xiaochen Zou, Guoren Li, Weiteng Chen, Hang Zhang, Zhiyun Qian:
SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel. - Syed Raza Bashir, Vojislav B. Misic:
Detecting Fake Points of Interest from Location Data. - John C. Raisbeck, Matthew W. Allen, Hakho Lee:
Agent Spaces. - Chenxi Liu, Pierre Bénard, Aaron Hertzmann, Shayan Hoshyari:
ConTesse: Accurate Occluding Contours for Smooth Surfaces. - Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm:
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games. - Imran Ali Khan, Saif Khan Mohammed:
Low Complexity Channel Estimation for OTFS Modulation with Fractional Delay and Doppler. - Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. - Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia:
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. - Tahiya Chowdhury:
The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming. - (Withdrawn) AlphaGarden: Learning to Autonomously Tend a Polyculture Garden.
- Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. - Yandong Liu, Chengzhong Xu, Hui Kong:
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments. - Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Lujia Wang, Ming Liu:
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps. - Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu:
Probability Contrastive Learning for Domain Adaptation. - Qinze Yu, Zhihang Dong, Xingyu Fan, Licheng Zong, Yu Li:
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides. - William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos:
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. - Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima. - Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison:
Causal KL: Evaluating Causal Discovery. - Wei Wei, Jianyu Hu, Jinqiao Duan:
The Most Likely Transition Path for a Class of Distribution-Dependent Stochastic Systems. - Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen:
FINO: Flow-based Joint Image and Noise Model. - Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. - (Withdrawn) CubeTR: Learning to Solve The Rubiks Cube Using Transformers.
- Shaojie Tang:
Constrained Stochastic Submodular Maximization with State-Dependent Costs. - Chaobing Zheng, Zhengguo Li, Shiqian Wu:
Hybrid Saturation Restoration for LDR Images of HDR Scenes. - Guillermo Federico Umbricht, Diana Rubio, Claudio El Hasi:
A Regularization Operator for the Source Approximation of a Transport Equation. - Chih-Pin Tan, Chin-Jui Chang, Alvin W. Y. Su, Yi-Hsuan Yang:
Music Score Expansion with Variable-Length Infilling. - Jan Christian Blaise Cruz, Charibeth Cheng:
Improving Large-scale Language Models and Resources for Filipino. - Sanchit Tanwar, Ayush Tiwari, Ritesh Chowdhry:
Indian Licence Plate Dataset in the wild. - Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie:
Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation. - Rajiv Sambasivan, Mark Burgess, Jörg Schad, Arthur Keen, Christopher Woodward, Alexander Geenen, Sachin Sharma:
Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity. - Anu Kuncheria, Joan L. Walker, Jane MacFarlane:
Socially-Aware Evaluation Framework for Transportation. - Wenyi Wang, John A. Taylor, Biswajit Bala:
Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series. - Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Abdallah Lakhdari, Athman Bouguettaya:
Fairness-aware Crowdsourcing of IoT Energy Services. - Osama A. Hanna, Lin F. Yang, Christina Fragouli:
Solving Multi-Arm Bandit Using a Few Bits of Communication. - Xuechun Li, Xueyao Sun, Zewei Xu, Yifan Zhou:
Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews. - Michael Yang, Aditya Anantharaman, Zachary Kitowski, Derik Clive Robert:
Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture. - Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. - Chen Cui, Kai Jiang, Shi Shu:
Solving time-dependent parametric PDEs by multiclass classification-based reduced order model. - Keiichi Shima:
Catching Unusual Traffic Behavior using TF-IDF-based Port Access Statistics Analysis. - Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone:
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. - Jianyun Zou, Min Yang, Lichao Zhang, Yechen Xu, Qifan Pan, Fengqing Jiang, Ran Qin, Shushu Wang, Yifan He, Songfang Huang, Zhou Zhao:
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata. - Keiichi Shima, Daisuke Miyamoto, Hiroshi Abe, Tomohiro Ishihara, Kazuya Okada, Yuji Sekiya, Hirochika Asai, Yusuke Doi:
Classification of URL bitstreams using Bag of Bytes. - Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. - Kristina Basiev, Adam Goldbraikh, Carla M. Pugh, Shlomi Laufer:
Open surgery tool classification and hand utilization using a multi-camera system. - Li Liu, Qian Wang, Zong-Yuan Tan, Ning Cai:
On Novel Peer Review System for Academic Journals: Experimental Study Based on Social Computing. - (Withdrawn) A 2-Dimensional Binary Search for Integer Pareto Frontiers.
- Yoshinori Aono, Sitong Liu, Tomoki Tanaka, Shumpei Uno, Rodney Van Meter, Naoyuki Shinohara, Ryo Nojima:
The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers. - Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. - Andreas Lenz, Stephen Melczer, Cyrus Rashtchian, Paul H. Siegel:
Multivariate Analytic Combinatorics for Cost Constrained Channels and Subsequence Enumeration. - Erika Halme, Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Marianna Jantunen, Arif Ali Khan, Kai-Kristian Kemell, Ville Vakkuri, Pekka Abrahamsson:
Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow. - Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis with Deep Learning: A Survey. - Kouki Wakita, Atsuo Maki, Umeda Naoya, Yoshiki Miyauchi, Tohga Shimoji, Dimas M. Rachman, Youhei Akimoto:
On Neural Network Identification for Low-Speed Ship Maneuvering Model. - Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. - Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda, Dimas M. Rachman, Youhei Akimoto:
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES. - Andrea Fronzetti Colladon, Johanne Saint-Charles, Pierre Mongeau:
From words to connections: Word use similarity as an honest signal conducive to employees' digital communication. - Marcel Schweitzer:
Decay bounds for Bernstein functions of Hermitian matrices with applications to the fractional graph Laplacian. - David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions. - Peichun Li, Xumin Huang, Miao Pan, Rong Yu:
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing. - Michael Mesarcik, Elena Ranguelova, Albert-Jan Boonstra, Rob V. van Nieuwpoort:
Improving Novelty Detection using the Reconstructions of Nearest Neighbours. - Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen:
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes. - Vahidreza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi, Tony T. Y. Yang, Andy Nguyen, Seyedali Mirjalili, Christian Málaga-Chuquitaype:
A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network. - Samuel Rac, Mats Brorsson:
At the Edge of a Seamless Cloud Experience. - Mosarrat Jahan, Fatema Tuz Zohra, Md. Kamal Parvez, Upama Kabir, Abdul Mohaimen Al Radi, Shaily Kabir:
An End-to-End Authentication Mechanism for Wireless Body Area Networks. - Matheus F. C. Barros, Carlos Henrique Gomes Ferreira, Bruno Pereira dos Santos, Lourenço Alves Pereira Júnior, Marco Mellia, Jussara M. Almeida:
Understanding mobility in networks: A node embedding approach. - Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei:
Clicking Matters: Towards Interactive Human Parsing. - Vincent Cohen-Addad, Tobias Mömke, Victor Verdugo:
A 2-Approximation for the Bounded Treewidth Sparsest Cut Problem in FPT Time. - Tiago Diadami Perez, Marcio M. Gonçalves, José Rodrigo Azambuja, Leonardo Gobatto, Marcelo Brandalero, Samuel Pagliarini:
G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators. - Markus Ahrens, Dorothee Henke, Stefan Rabenstein, Jens Vygen:
Faster Goal-Oriented Shortest Path Search for Bulk and Incremental Detailed Routing. - Thomas Neumayr, Banu Saatçi, Sean Rintel, Clemens Nylandsted Klokmose, Mirjam Augstein:
What was Hybrid? A Systematic Review of Hybrid Collaboration and Meetings Research. - Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra:
Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling. - Helmut Linde:
Does the Brain Infer Invariance Transformations from Graph Symmetries? - Matti Kaisti, Juho Laitala, Antti Airola:
Training neural networks with synthetic electrocardiograms. - Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar:
BOiLS: Bayesian Optimisation for Logic Synthesis. - Peter Wallis, Bruce Edmonds:
An Enactivist account of Mind Reading in Natural Language Understanding. - Vikram Gupta:
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training. - Dong Li:
Why large time-stepping methods for the Cahn-Hilliard equation is stable. - Marius Mikalsen, Nils Brede Moe, Sut I Wong, Viktoria Stray:
Agile Information System Development Organizations Transforming to Large-Scale Collaboration. - Yadong Li, Dongheng Zhang, Jinbo Chen, Jinwei Wan, Dong Zhang, Yang Hu, Qibin Sun, Yan Chen:
Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal. - Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang:
Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models. - Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Erika Halme, Hannakaisa Isomäki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri:
Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method. - Hany Abdulsamad, Jan Peters:
Model-Based Reinforcement Learning for Stochastic Hybrid Systems. - Jiaxi Zhang, Liwei Ni, Shenggen Zheng, Hao Liu, Xiangfu Zou, Feng Wang, Guojie Luo:
Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning. - Indranil Pan, Lachlan Mason, Omar K. Matar:
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities. - Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos:
Assigning and Scheduling Generalized Malleable Jobs under Submodular Processing Speeds. - Mack Makgatho, Vukosi Marivate, Tshephisho Sefara, Valencia Wagner:
Training Cross-Lingual embeddings for Setswana and Sepedi. - Yan Xia, Ted Hsuan Yun Chen, Mikko Kivelä:
Applicability of Multilayer Diffusion Network Inference to Social Media Data. - Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang:
Discovering and Explaining the Representation Bottleneck of DNNs. - Jussi Leinonen:
Improvements to short-term weather prediction with recurrent-convolutional networks. - Lingying Huang, Xiaomeng Chen, Wei Huo, Jiazheng Wang, Fan Zhang, Bo Bai, Ling Shi:
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends. - Amartya Dutta, Kamaljyoti Nath:
Learning via Long Short-Term Memory (LSTM) network for predicting strains in Railway Bridge members under train induced vibration. - Junpeng Guo, Chunyi Peng:
Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression. - Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth:
Dense Unsupervised Learning for Video Segmentation. - Kazuhisa Fujita:
AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero. - Ajinkya Gaikwad, Soumen Maity:
The Harmless Set Problem. - Yaroslav Balytskyi, Justin Bendesky, Tristan Paul, Guy M. Hagen, Kelly McNear:
Raman spectroscopy in open world learning settings using the Objectosphere approach. - Pascal Schoppmann, Pedro F. Proença, Jeff Delaune, Michael Pantic, Timo Hinzmann, Larry H. Matthies, Roland Siegwart, Roland Brockers:
Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft. - Tuan-Tang Le, Trung-Son Le, Yu-Ru Chen, Joel Vidal, Chyi-Yeu Lin:
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping. - Vladimir Gurvich:
On Nash-solvability of finite n-person deterministic graphical games; Catch 22. - Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer:
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks. - Dmitry Rabinovich, Michael Amir:
"What to Do With Two Lanes?": Optimal Physical Sorting of Mobile Vehicles. - Joan Llobera, Jordi Vallverdú:
MaTIC: a Mathematical Theory of Inferential Communication. - Timon Rückel, Johannes Sedlmeir, Peter Hofmann:
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System. - Parinya Chalermsook, Matthias Kaul, Matthias Mnich, Joachim Spoerhase, Sumedha Uniyal, Daniel Vaz:
Approximating Sparsest Cut in Low-Treewidth Graphs via Combinatorial Diameter. - Ed Chalstrey:
Developing and Publishing Code for Trusted Research Environments: Best Practices and Ways of Working. - Matt Knutson, Kevin Kramer, Sara Seifert, Ryan Chamberlain:
Automatically identifying a mobile phone user's position within a vehicle. - Anupam Gupta, Vijaykrishna Gurunathan, Ravishankar Krishnaswamy, Amit Kumar, Sahil Singla:
Online Discrepancy with Recourse for Vectors and Graphs. - Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney:
Self-Normalized Importance Sampling for Neural Language Modeling. - Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. - Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao:
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. - Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wancheng Ge:
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic. - Marta Lorenzini, Wansoo Kim, Arash Ajoudani:
An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace. - Konstantina Ntretska, Nikos Avrantinis, George Tsatiris, Kostas Karpouzis:
How player and opponent personalities influence cooperative gameplay. - Styliani Zygotegou, Georgios Anastassakis, Georgios Tsatiris, Kostas Karpouzis:
Integrating psychotherapy practices and gamified elements in novel game mechanics for stress relief. - Zaiwei Chen, Shancong Mou, Siva Theja Maguluri:
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. - Aly Moustafa, Salah A. Aly:
Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset. - Sarthak Khanal, Maria Traskowsky, Doina Caragea:
Identification of Fine-Grained Location Mentions in Crisis Tweets. - Yurii Kolomoitsev, Tetiana Lomako, Sergey Tikhonov:
Sparse grid approximation in weighted Wiener spaces. - Tomer Wullach, Amir Adler, Einat Minkov:
Character-level HyperNetworks for Hate Speech Detection. - Ameet Gadekar:
On the parameterized complexity of Compact Set Packing. - Jie Xu, Brian Randell, Alexander B. Romanovsky, Robert J. Stroud, Avelino F. Zorzo:
Supporting and Controlling Complex Concurrency in Fault- Tolerant Distributed Systems. - Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong:
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation. - Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan:
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. - Wangkun Xu, Imad M. Jaimoukha, Fei Teng:
Robust Moving Target Defence Against False Data Injection Attacks in Power Grids. - Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. - Ramkumar Raghu, Mahadesh Panju, Vinod Sharma:
Performance of Queueing Models for MISO Content-Centric Networks. - Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - A Framework for Neural Architecture Search. - Tanmay Inamdar, Kasturi R. Varadarajan:
Non-Uniform k-Center and Greedy Clustering. - Sergii Mikhtoniuk, Özge Nilay Yalçin:
Open Data Fabric: A Decentralized Data Exchange and Transformation Protocol With Complete Reproducibility and Provenance. - Jorge Fandinno, Seemran Mishra, Javier Romero, Torsten Schaub:
Answer Set Programming Made Easy. - Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies. - Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. - I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee:
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. - Eric Graves, Allison Beemer, Jörg Kliewer, Oliver Kosut, Paul L. Yu:
Keyless Authentication for AWGN Channels. - Yilun Du, Katherine M. Collins, Joshua B. Tenenbaum, Vincent Sitzmann:
Learning Signal-Agnostic Manifolds of Neural Fields. - Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, Hod Lipson:
Full-Body Visual Self-Modeling of Robot Morphologies. - Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin:
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos. - Vinicius Mikuni, Benjamin Nachman, David Shih:
Online-compatible Unsupervised Non-resonant Anomaly Detection. - Waddah Saeed, Christian W. Omlin:
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities. - Ruhui Jin, Francesco Rizzi, Eric J. Parish:
Space-time reduced-order modeling for uncertainty quantification. - Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith:
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach. - Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen:
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. - Pouria Nezhadmohammad, Mohsen Abedi, Mohammad Javad Emadi, Risto Wichman:
SWIPT-Enabled Multiple Access Channel: Effects of Decoding Cost and Non-linear EH Model. - Sibo Cheng, Mingming Qiu:
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks. - Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger:
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. - Heramb Nemlekar, Runyu Guan, Guanyang Luo, Satyandra K. Gupta, Stefanos Nikolaidis:
Towards Transferring Human Preferences from Canonical to Actual Assembly Tasks. - Zihao Deng, Michael Orshansky:
Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM. - Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos:
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. - Prateek Sharma, Vikram Jadhao:
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms. - Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann:
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. - Gerardo Vega, Félix Hernández:
The complete weight enumerator of a subclass of optimal three-weight cyclic codes. - Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab:
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. - Fatih Cagatay Akyon, Devrim Cavusoglu, Cemil Cengiz, Sinan Onur Altinuc, Alptekin Temizel:
Automated question generation and question answering from Turkish texts using text-to-text transformers. - Ulrich Gallersdörfer, Lena Klaaßen, Christian Stoll:
Accounting for carbon emissions caused by cryptocurrency and token systems. - Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis:
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. - Hesham Mostafa:
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs. - Negar Hassanpour, Russell Greiner:
Variational Auto-Encoder Architectures that Excel at Causal Inference. - Martin Capek, Pavel Surynek:
DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies. - Qingyun Wu, Chi Wang:
Fair AutoML. - John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. - Thi-Hoa Nguyen, René R. Hiemstra, Stein K. F. Stoter, Dominik Schillinger:
A variational approach based on perturbed eigenvalue analysis for improving spectral properties of isogeometric multipatch discretizations. - Frank Hartmann, Stefan Kollmannsberger:
Enforcing essential boundary conditions on domains defined by point clouds. - Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. - Noah Kaufmann:
Classifying All Degrees Below N3. - Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang:
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. - Peter Benner, Jan Heiland, Steffen W. R. Werner:
A low-rank solution method for Riccati equations with indefinite quadratic terms. - Xiao S. Zeng, Surya Dwarakanath, Wuyue Lu, Masaki Nakada, Demetri Terzopoulos:
Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos. - Kaijie Xu:
An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix. - Kun He, Qian Li, Xiaoming Sun:
Moser-Tardos Algorithm: Beyond Shearer's Bound. - Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa:
Distributed Sparse Regression via Penalization. - Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. - Xiao Peng Li, Qi Liu, Hing Cheung So:
Nonlinear Tensor Ring Network. - Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier:
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. - Jie Zhang, Lingyun Yuan, Shanshan Xu:
A lightweight blockchain-based access control scheme for integrated edge computing in the internet of things. - Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian:
Approximating Optimal Transport via Low-rank and Sparse Factorization. - Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, François-Xavier Devailly, Wissem Maazoun, Patrick Cardinal:
Bi-Discriminator Class-Conditional Tabular GAN. - Yu Li, Zijing Wang, Hehu Xie:
GCGE: A Package for Solving Large Scale Eigenvalue Problems by Parallel Block Damping Inverse Power Method. - Ziyan Zhu, Fei Tong:
The Distance Distribution between Mobile Node and Reference Node in Regular Hexagon. - Wangyang Xu, Lu Gan, Chongwen Huang:
A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints. - Zhaozhuo Xu, Alan Baonan Ji, Andrew Woods, Beidi Chen, Anshumali Shrivastava:
Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston. - Hamza Javed, Adel Nadjaran Toosi, Mohammad Sadegh Aslanpour:
Serverless Platforms on the Edge: A Performance Analysis. - Benjamin Moseley, Kirk Pruhs, Clifford Stein, Rudy Zhou:
A Competitive Algorithm for Throughout Maximization on Identical Machines. - Lintao Li, Wei Chen, Khaled B. Letaief:
Bounding Queue Length Violation Probability of Joint Channel and Buffer Aware Transmission. - Md. Ibrahim, A. S. M. Badrudduza, Md. Shakhawat Hossen, Milton Kumar Kundu, Imran Shafique Ansari:
On Effective Secrecy Throughput of Underlay Spectrum Sharing α-μ/ Málaga Hybrid Model under Interference-and-Transmit Power Constraints. - Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi:
Self-supervised GAN Detector. - Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel:
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference. - Youngsuk Park, Danielle C. Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang:
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. - John Demme:
Elastic Silicon Interconnects: Abstracting Communication in Accelerator Design. - Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li:
AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution. - Sayak Mukherjee, Ramij Raja Hossain:
Data-Driven Pole Placement in LMI Regions with Robustness Constraints. - Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf:
Implicit vs Unfolded Graph Neural Networks. - Claudio Cicconetti, Marco Conti, Andrea Passarella:
FaaS Execution Models for Edge Applications. - Zakria Qadir, Hafiz Suliman Munawar, Nasir Saeed, Khoa N. Le:
Towards 6G Internet of Things: Recent Advances, Use Cases, and Open Challenges. - Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru, Parth Patwa, Amitava Das:
PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages. - Gabriela Cristescu, Vlad-Florin Dragoi, Sorin-Horatiu Hoara:
Generalized Convexity Properties and Shape Based Approximation in Networks Reliability. - Cédric Join, Hassane Abouaïssa, Michel Fliess:
Ramp metering: modeling, simulations and control issues. - Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren:
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication. - Ovishake Sen, Al-Mahmud, Pias Roy:
A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal. - Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting:
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. - Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. - Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei:
Meta-Teacher For Face Anti-Spoofing. - Ashutosh Agarwal, Anay Majee, Anbumani Subramanian, Chetan Arora:
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection. - Florian Henkel, Stephanie Schwaiger, Gerhard Widmer:
Fully Automatic Page Turning on Real Scores. - Qinxuan Wu, Allyson Ettinger:
Variation and generality in encoding of syntactic anomaly information in sentence embeddings. - Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. - John Paul P. Miranda:
Dataset of Philippine Presidents Speeches from 1935 to 2016. - Yonggang Jiang, Chaodong Zheng:
Robust and Optimal Contention Resolution without Collision Detection. - Prateek Agarwal, Tarun Rambha:
Scalable Algorithms for Bicriterion Trip-Based Transit Routing. - Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. - Viola Wenz, Arno Kesper, Gabriele Taentzer:
Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values. - Agnieszka Kaliszewska, Monika Syga:
A comprehensive study of clustering a class of 2D shapes. - Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Diego Saldana, Yi Huang, Alessandro La Torraca, Elif Ozkirimli:
Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models. - Anja Thieme:
Understanding the Information Needs and Practices of Human Supporters of an Online Mental Health Intervention to Inform Machine Learning Applications. - Ebenezer R. H. P. Isaac:
Robust Analytics for Video-Based Gait Biometrics. - Nishant Kumar, Sudhan Majhi, Palash Sarkar, Ashish Kumar Upadhyay:
A Direct Construction of Prime-Power-Length Zero-Correlation Zone Sequences for QS-CDMA System. - Gerhard Wunder, Benedikt Groß, Rick Fritschek, Rafael F. Schaefer:
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation. - Xue Yang, Yue Zhou, Junchi Yan:
AlphaRotate: A Rotation Detection Benchmark using TensorFlow. - Julian Stier, Michael Granitzer:
deepstruct - linking deep learning and graph theory. - Steffen Gracla, Edgar Beck, Carsten Bockelmann, Armin Dekorsy:
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care. - David Umsonst, Serkan Saritas, György Dán, Henrik Sandberg:
A Bayesian Nash equilibrium-based moving target defense against stealthy sensor attacks. - Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma:
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. - Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang:
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML. - Lin Chen, Fengli Xu, Zhenyu Han, Kun Tang, Pan Hui, James A. Evans, Yong Li:
Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity. - G. Jaykrishnan, Asaf Levin:
EPTAS for parallel identical machine scheduling with time restrictions. - Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen:
Silicon photonic subspace neural chip for hardware-efficient deep learning. - Lalit Kumar, Sivaji Ganesh Sista, Konijeti Sreenadh:
Finite Element Analysis of Time Fractional Integro-differential Equations of Kirchhoff type for Non-homogeneous Materials. - Sarah Hiller, Jonas Israel, Jobst Heitzig:
An Axiomatic Approach to Formalized Responsibility Ascription. - Liping Shi, Néstor J. Hernández Marcano, Rune Hylsberg Jacobsen:
A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application. - Amirhossein Nazerian, Shirin Panahi, Ian Leifer, David Phillips, Hernán A. Makse, Francesco Sorrentino:
Matryoshka and Disjoint Cluster Synchronization of Networks. - YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Understanding. - St John Grimbly, Jonathan P. Shock, Arnu Pretorius:
Causal Multi-Agent Reinforcement Learning: Review and Open Problems. - Donglin Wang, Qiuheng Zhou, Sanket Partani, Anjie Qiu, Hans D. Schotten:
Mobility prediction Based on Machine Learning Algorithms. - Dongda Li, Zhaoquan Gu, Yuexuan Wang, Changwei Ren, Francis C. M. Lau:
One model Packs Thousands of Items with Recurrent Conditional Query Learning. - Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos:
A Constant-Factor Approximation for Generalized Malleable Scheduling under M♮-Concave Processing Speeds. - Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
The Science of Rejection: A Research Area for Human Computation. - Marcello Calvanese Strinati, Davide Pierangeli, Claudio Conti:
All-optical scalable spatial coherent Ising machine. - Baoguang Shi, Wenfeng Cheng, Yijuan Lu, Cha Zhang, Dinei A. F. Florêncio:
Improving Structured Text Recognition with Regular Expression Biasing. - Dongchan Kim, Kunsoo Huh:
Neural Motion Planning for Autonomous Parking. - Raphael Korbmacher, Antoine Tordeux:
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches. - Sriram Siva, Maggie B. Wigness, John G. Rogers, Long Quang, Hao Zhang:
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation. - Dian Echevarría Pérez, Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Self-energy recycling for low-power reliable networks: Half-duplex or Full-duplex? - Sean Ingimarson, Leo G. Rebholz, Traian Iliescu:
Full and Reduced Order Model Consistency of the Nonlinearity Discretization in Incompressible Flows. - Guannan Lou, Yuze Liu, Tiehua Zhang, James Xi Zheng:
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks. - Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer:
Monte Carlo dropout increases model repeatability. - J.-M. Chauvet:
Multiway Storage Modification Machines. - Chunzhi Gu, Shuofeng Zhao, Chao Zhang:
Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder. - Mikhail Kiselev:
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning. - Loizos Michael:
Explainability and the Fourth AI Revolution. - David Grethlein, Aleksanteri Sladek, Santiago Ontañón:
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data. - Martin Figura, Yixuan Lin, Ji Liu, Vijay Gupta:
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation. - Dogan Can Çiçek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat:
AWD3: Dynamic Reduction of the Estimation Bias. - Ali Devran Kara, Naci Saldi, Serdar Yüksel:
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity. - Anton Pershin, Cédric Beaume, Kuan Li, Steven M. Tobias:
Can neural networks predict dynamics they have never seen? - Chengchun Shi, Masatoshi Uehara, Nan Jiang:
A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes. - Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad:
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. - Anne-Sophie Bonnet-Ben Dhia, Simon N. Chandler-Wilde, Sonia Fliss:
On the half-space matching method for real wavenumber. - Ondrej Klejch, Electra Wallington, Peter Bell:
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR. - Chris Gagne, Peter Dayan:
Two steps to risk sensitivity. - Chris Gagne, Peter Dayan:
Catastrophe, Compounding & Consistency in Choice. - Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
First-Order Rewritability and Complexity of Two-Dimensional Temporal Ontology-Mediated Queries. - Newton Mwai Kinyanjui, Fredrik D. Johansson:
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects. - Hasan Nasrallah, Ali J. Ghandour:
Sci-Net: a Scale Invariant Model for Building Detection from Aerial Images. - Benoît Sohet, Yezekael Hayel, Olivier Beaude, Alban Jeandin:
Learning Pure Nash Equilibrium in Smart Charging Games. - Daniel Blankenburg:
Faster Primal-Dual Convergence for Min-Max Resource Sharing and Stronger Bounds via Local Weak Duality. - Benoît Sohet, Yezekael Hayel, Olivier Beaude, Alban Jeandin:
Impact of Strategic Electric Vehicles Driving Behavior on the Grid. - Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay:
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. - Peter P. Petropoulos, Catalin Turc, Erli Wind-andersen:
Nyström methods for high-order CQ solutions of the wave equation in two dimensions. - Mowen Xue, Theo Greenslade, Majid Mirmehdi, Tilo Burghardt:
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance. - Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov:
Speeding Up Entmax. - Qiyao Luo, Yilei Wang, Ke Yi:
Frequency Estimation in the Shuffle Model with (Almost) a Single Message. - Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. - Xin Zhang, Liangxiu Han, Tam Sobeih, Lewis Lappin, Mark A. Lee, Andew Howard, Aron Kisdi:
The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery. - Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz:
Reliability Models for Smartphone Applications. - Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat:
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. - Anupam Gupta, Gregory Kehne, Roie Levin:
Random Order Set Cover is as Easy as Offline. - Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy:
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data. - Alex Barceló, Anna Queralt, Toni Cortes:
Revisiting Active Object Stores: Bringing Data Locality to the Limit With NVM. - Peter Kokol, Jernej Zavrsnik, Helena Blazun Vosner:
Influential Papers in Artificial Intelligence and Paediatrics: Assessing RPYS by Experts Review. - Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Gengchen Mai:
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. - Pedro Reviriego, Alfonso Sánchez-Macián, Stefan Walzer, Peter C. Dillinger:
Approximate Membership Query Filters with a False Positive Free Set. - Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi, Bicky A. Marquez, Hugh D. Morison, Volker J. Sorger, Paul R. Prucnal, Sudip Shekhar, Bhavin J. Shastri:
Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment. - Mirmahdi Rahgoshay, Mohammad R. Salavatipour:
Hierarchical Clustering: New Bounds and Objective. - Daniel Andrés Díaz-Pachón, Robert J. Marks II:
Generalized active information: extensions to unbounded domains. - Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta:
Flatee: Federated Learning Across Trusted Execution Environments. - Neil Olver, Leon Sering, Laura Vargas Koch:
Continuity, Uniqueness and Long-Term Behavior of Nash Flows Over Time. - Aris Filos-Ratsikas, Kristoffer Arnsfelt Hansen, Kasper Høgh, Alexandros Hollender:
FIXP-membership via Convex Optimization: Games, Cakes, and Markets. - Tommi Muller, Elina Robeva, Konstantin Usevich:
Robust Eigenvectors of Symmetric Tensors. - Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl:
Multimodal Virtual Point 3D Detection. - Arun K. Sharma, Nishchal K. Verma:
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis. - Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan:
Learning Generalized Gumbel-max Causal Mechanisms. - Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska:
DriverGym: Democratising Reinforcement Learning for Autonomous Driving. - Sujay Kumar Jauhar, Nirupama Chandrasekaran, Michael Gamon, Ryen W. White:
MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed. - Pierre Moreau, Michael C. Doggett, Erik Sintorn:
Path Verification for Dynamic Indirect Illumination. - Daniel Eugênio Neves, João Pedro Oliveira Batisteli, Eduardo Felipe Lopes, Lucila Ishitani, Zenilton Kleber Gonçalves do Patrocínio Jr.:
Improving Experience Replay through Modeling of Similar Transitions' Sets. - Yanou Ramon, Sandra C. Matz, R. A. Farrokhnia, David Martens:
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data. - Daniel Andrés Díaz-Pachón, Robert J. Marks II:
Active information requirements for fixation on the Wright-Fisher model of population genetics. - Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein:
Visual Intelligence through Human Interaction. - Debapriya Tula, Shreyas MS, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa:
Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss. - Inju Na, Ilyeop Yi, Kyu-Young Whang, Yang-Sae Moon, Soon J. Hyun:
Regular Path Query Evaluation Sharing a Reduced Transitive Closure Based on Graph Reduction. - Farshad Rostami Ghadi, Wei-Ping Zhu:
Outage Analysis over Correlated Fisher-Snedecor F Fading Multi-User Channels. - Vishwas N. S, Srikrishna B. R, T. S. B. Sudarshan:
ARC Nav - A 3D Navigation Stack for Autonomous Robots. - Sanyam Kapoor, Valerio Perrone:
A Simple and Fast Baseline for Tuning Large XGBoost Models. - Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng:
Action2video: Generating Videos of Human 3D Actions. - Julien Sentuc, Tristan Cazenave, Jean-Yves Lucas:
Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing. - Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh:
Hierarchical Bayesian Bandits. - Alireza Entezari, Arunava Banerjee, Leila Kalantari:
Solving A System Of Linear Equations By Randomized Orthogonal Projectors. - Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. - Yosef S. Razin, Karen M. Feigh:
Committing to Interdependence: Implications from Game Theory for Human-Robot Trust. - André Ofner, Raihan Kabir Ratul, Suhita Ghosh, Sebastian Stober:
Predictive coding, precision and natural gradients. - Raed Alharbi, Minh N. Vu, My T. Thai:
Learning Interpretation with Explainable Knowledge Distillation. - Lawrence Chan, Andrew Critch, Anca D. Dragan:
Human irrationality: both bad and good for reward inference. - Emmanuelle Dietz, Antonis C. Kakas, Loizos Michael:
Computational Argumentation and Cognition. - Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber:
Through-Foliage Tracking with Airborne Optical Sectioning. - Marco Coraggio, Pietro DeLellis, Stephen John Hogan, Mario di Bernardo:
Synchronization of networks of piecewise-smooth systems. - Fabio Romano:
CSAT is not in P. - Hongseok Choi, Hyunju Lee:
Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters. - Daniel Alberto Burbano Lombana, Marco Coraggio, Mario di Bernardo, Franco Garofalo, Michele Pugliese:
Adaptive and quasi-sliding control of shimmy in landing gears. - Chuyuan Tao, Hunmin Kim, Hyung-Jin Yoon, Naira Hovakimyan, Petros G. Voulgaris:
Control Barrier Function Augmentation in Sampling-based Control Algorithm for Sample Efficiency. - Konstantinos A. Mountris, Leiting Dong, Yue Guan, Satya N. Atluri, Esther Pueyo:
Meshfree implementation of the cardiac monodomain model through the Fragile Points Method. - Daniel Bolya, Rohit Mittapalli, Judy Hoffman:
Scalable Diverse Model Selection for Accessible Transfer Learning. - Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki:
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN. - Yu Huang, Chao Zhang, Jaswanth K. Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom:
GraSSNet: Graph Soft Sensing Neural Networks. - Jaswanth K. Yella, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali A. Minai, Sthitie Bom:
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer. - Xiaoye Qian, Chao Zhang, Jaswanth K. Yella, Yu Huang, Ming-Chun Huang, Sthitie Bom:
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned. - Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. - Shuangyan Miao, Yonghong Hou, Zhimin Gao, Mingliang Xu, Wanqing Li:
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition. - James Melbourne, Gerardo Palafox-Castillo:
A discrete complement of Lyapunov's inequality and its information theoretic consequences. - Dilini Rajapaksha, Christoph Bergmeir, Rob J. Hyndman:
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. - Eman Abdullah AlOmar, Tianjia Wang, Vaibhavi Raut, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni:
Refactoring for Reuse: An Empirical Study. - Guosheng Fu, Yang Yang:
A hybrid-mixed finite element method for single-phase Darcy flow in fractured porous media. - Yanyan Shen, Khashayar Khorasani:
Fault Diagnosis of Nonlinear Systems Using a Hybrid-Degree Dual Cubature-based Estimation Scheme. - Álvaro Luis Martínez, Jorge Maestre Vidal, Víctor A. Villagrá González:
Understanding and Assessment of Mission-Centric Key Cyber Terrains for joint Military Operations. - Sehun Jung, Hyang-Won Lee:
A Framework for Routing DNN Inference Jobs over Distributed Computing Networks. - Alexis Montoison, Dominique Orban:
GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor. - Nicolas A. Labanda, Pouria Behnoudfar, Victor M. Calo:
An explicit predictor/multicorrector time marching with automatic adaptivity for finite-strain elastodynamics. - Chance N. DeSmet, Diane J. Cook:
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation. - Ruiqi Ni, Zherong Pan, Xifeng Gao:
Robust Multi-Robot Trajectory Generation Using Alternating Direction Method of Multiplier. - Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak:
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds. - Milutin Brankovic, Martin P. Seybold:
Optimal Window Queries on Line Segments using the Trapezoidal Search DAG. - Chuanting Zhang, Ke-Ke Shang, Jingping Qiao:
Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction. - Xintao Xiang, Tiancheng Huang, Donglin Wang:
Learning to Evolve on Dynamic Graphs. - Daniel Steinberg, Paul Munro:
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances. - Zhuoyue Lyu, Safinah Arshad Ali, Cynthia Breazeal:
Introducing Variational Autoencoders to High School Students. - Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu:
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. - Sheng Tan, Jie Yang:
Commodity Wi-Fi Sensing in 10 Years: Current Status, Challenges, and Opportunities. - Linh Nguyen Viet, Tuan Nguyen Dinh, Hoang Nguyen Viet, Duc Tran Minh, Long Tran Quoc:
UET-Headpose: A sensor-based top-view head pose dataset. - Richard Levinson, Sreeja Nag, Vinay Ravindra:
Agile Satellite Planning for Multi-Payload Observations for Earth Science. - Hang Zhou, Yanchi Su, Zhanshan Li:
Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization. - Cheng-Chou Lan:
Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization. - Ali Pourramezan Fard, Mohammad H. Mahoor:
Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks. - Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. - Nikhil Bansal, Haotian Jiang, Raghu Meka, Sahil Singla, Makrand Sinha:
Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing. - Tianchen Yuan, Faisal Alasiri, Petros A. Ioannou:
Selection of the Speed Command Distance for Improved Performance of a Rule-Based VSL and Lane Change Control. - S. Ilker Birbil, Ozgur Martin, Gönenç Onay, Figen Öztoprak:
Bolstering Stochastic Gradient Descent with Model Building. - Varun Gumma, Barsha Mitra, Soumyadeep Dey, Pratik Shashikantbhai Patel, Sourabh Suman, Saptarshi Das:
PAMMELA: Policy Administration Methodology using Machine Learning. - Rama Seshan, Ravi N. Banavar, D. H. S. Maithripala, Arun D. Mahindrakar:
Geometric PID Controller for Stabilization of Nonholonomic Mechanical Systems on Lie Groups. - Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. - M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli, Rajan Jose:
Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis. - Jing-Yu Ma, Quan-Lin Li:
Sensitivity-Based Optimization for Blockchain Selfish Mining. - Jaemo Sung, Eun-Sung Jung:
Factorial Convolution Neural Networks. - Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das:
Memotion Analysis through the Lens of Joint Embedding. - Peng Yang, Xianbin Cao, Tony Q. S. Quek, Dapeng Oliver Wu:
Networking of Internet of UAVs: Challenges and Intelligent Approaches. - Christoph Schwab, Jakob Zech:
Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in L2(Rd, γd). - Ghodai Abdelrahman, Qing Wang:
Learning Data Teaching Strategies Via Knowledge Tracing. - Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech:
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits. - Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo:
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes. - Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang:
D^2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection. - Daniel O. Martínez-Rivillas, Ruy J. G. B. de Queiroz:
The Theory of an Arbitrary Higher λ-Model. - Zhenyuan Li, Jun Zeng, Yan Chen, Zhenkai Liang:
AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports. - Fatemeh Daneshfar, Seyed Jahanshah Kabudian:
Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method. - Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli:
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics. - Biswarup Mukherjee, Fabrizio Sossan:
Optimal Planning of Single-Port and Multi-Port Charging Stations for Electric Vehicles in Medium Voltage Distribution Networks. - Iren Mazloomzadeh, Gias Udin, Foutse Khomh, Ashkan Sami:
Reputation Gaming in Stack Overflow. - Rajdeep Das, Ajoy Mondal, Tapan Chakraborty, Kuntal Ghosh:
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs. - Megala A, S. V. Raghurama Rao:
An upwind lattice Boltzmann scheme. - Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin:
Nyström Regularization for Time Series Forecasting. - Junmo Lee, Joon Hwang, Youngwoon Cho, Sangbum Kim, Jongho Lee:
Novel Weight Update Scheme for Hardware Neural Network based on Synaptic Devices Having Abrupt LTP or LTD Characteristics. - Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda:
Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion. - Nanbo Li, Cian Eastwood, Robert B. Fisher:
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. - Matej Klemen, Marko Robnik-Sikonja:
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing. - Shenjie Huang, Cheng Chen, Rui Bian, Harald Haas, Majid Safari:
5 Gbps Optical Wireless Communication using Commercial SPAD Array Receivers. - Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. - Sachin Raja, Ajoy Mondal, C. V. Jawahar:
Visual Understanding of Complex Table Structures from Document Images. - Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya, Daniel Wiechmann, Wei Zhou, Elma Kerz, Ralf Schlüter:
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features. - Nayan Saxena, Robert Wu, Rohan Jain:
Towards One Shot Search Space Poisoning in Neural Architecture Search. - Yuan Zhou, Haiyang Wang, Shuwei Huo, Boyu Wang:
Full-attention based Neural Architecture Search using Context Auto-regression. - Ajoy Mondal:
New Performance Measures for Object Tracking under Complex Environments. - Ilia Karpov, Nick Kartashev:
SocialBERT - Transformers for Online SocialNetwork Language Modelling. - Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci:
Categorizing Service Worker Attacks and Mitigations. - Tzu-Heng Lin, Chen Gao:
Session-aware Item-combination Recommendation with Transformer Network. - Elaheh Hatami Majoumerd, Farshad Tajeripour:
Developing a Novel Approach for Periapical Dental Radiographs Segmentation. - Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le:
Robust Deep Reinforcement Learning for Extractive Legal Summarization. - Jonas Kusch, Pia Stammer:
A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy. - Sahand Mosharafian, Mahdi Razzaghpour, Yaser P. Fallah, Javad Mohammadpour Velni:
Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control. - Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera:
Efficient Binary Embedding of Categorical Data using BinSketch. - Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini:
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. - Suhas Thalanki, T. Vijay Prashant, Harshith Kumar M. B, Shayak Bhadraray, Aravind S, Srikrishna BR, Sameer Dhole:
Autonomous UAV for Building Monitoring, Detection and Localisation of Faults. - Gang Chen:
Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning. - Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni:
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning. - Mahdi Razzaghpour, Adwait Datar, Daniel Schneider, Mahdi Zaman, Herbert Werner, Hannes Frey, Javad Mohammadpour Velni, Yaser P. Fallah:
Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications. - Vladimir Gurvich:
On Nash-solvability of finite n-person shortest path games; bi-shortest path conjecture. - Yizhen Zhang, Minkyu Choi, Kuan Han, Zhongming Liu:
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning. - Filippo Fabiani, Paul J. Goulart:
Reliably-stabilizing piecewise-affine neural network controllers. - Lei Zou, Danqing Liao, Nina Siu-Ngan Lam, Michelle A. Meyer, Nasir G. Gharaibeh, Heng Cai, Bing Zhou, Dongying Li:
Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey. - Tom De Smedt, Pierre Voué, Sylvia Jaki, Emily Duffy, Lydia El-Khouri:
A feast for trolls - Engagement analysis of counternarratives against online toxicity. - Vinayak Gupta:
Learning Neural Models for Continuous-Time Sequences. - Jordi Sanchez-Riera, Albert Pumarola, Francesc Moreno-Noguer:
PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People. - Yuchen Liang, Mohammed J. Zaki:
Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings. - Sayak Saha Roy, Unique Karanjit, Shirin Nilizadeh:
Evaluating the effectiveness of Phishing Reports on Twitter. - Samantha D. Aziz, Oleg V. Komogortsev:
An Assessment of the Eye Tracking Signal Quality Captured in the HoloLens 2. - Jun Ohkubo:
Numerical methods to evaluate Koopman matrix from system equations. - Paul Liu, Aviad Rubinstein, Jan Vondrák, Junyao Zhao:
Cardinality constrained submodular maximization for random streams. - William Kuszmaul, Shyam Narayanan:
Stochastic and Worst-Case Generalized Sorting Revisited. - Roberto Pecoraro, Valerio Basile, Viviana Bono, Sara Gallo:
Local Multi-Head Channel Self-Attention for Facial Expression Recognition. - Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Practical Scheduling for Real-World Serverless Computing. - Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng:
Curriculum Learning for Vision-and-Language Navigation. - Bin Pan:
Video Streaming in Cooperative Vehicular Networks. - Fatemeh Daneshfar, Seyed Jahanshah Kabudian:
Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network. - Yasushi Kawase, Hanna Sumita:
Online Max-min Fair Allocation. - Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo:
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis. - Weipeng Xu, Pengzhi Chu, Renhao Xie, Xiongziyan Xiao, Hongcheng Huang:
Robust and Accurate Object Detection via Self-Knowledge Distillation. - Sharat Ibrahimpur, Chaitanya Swamy:
A Simple Approximation Algorithm for Vector Scheduling and Applications to Stochastic Min-Norm Load Balancing. - Jiajing Chen, Burak Kakillioglu, Senem Velipasalar:
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation. - Qi Yu, Shota Yokoyama, Daoyi Dong, David McManus, Hidehiro Yonezawa:
Simultaneous estimation of parameters and the state of an optical parametric oscillator system. - Elena Mikhalkova, Timofei Protasov, Anastasiia Drozdova, Anastasiia Bashmakova, Polina Gavin:
Towards annotation of text worlds in a literary work. - Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang:
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. - Tenzin Jinpa, Yong Gao:
Code Representation Learning with Prüfer Sequences. - Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! - Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
CDM: Combining Extraction and Generation for Definition Modeling. - Lucas Braun, Auriol Degbelo, Christian Kray:
Geofreebie: A Location-Based Freecycling App to Support Forced Migrant Resettlement. - Xiaoxu Li, Huajie Chen, Xingyu Gao:
Numerical Analysis of the Multiple Scattering Theory for Electronic Structure Calculations. - Auriol Degbelo:
FAIR Geovisualizations: Definitions, Challenges, and the Road Ahead. - Viktor Gorte, Auriol Degbelo:
Choriented Maps: Visualizing SDG Data on Mobile Devices. - Siqi Hui, Sanping Zhou, Xingyu Wan, Jixin Wang, Ye Deng, Yang Wu, Zhenghao Gong, Jinjun Wang:
Auxiliary Loss Adaptation for Image Inpainting. - Chithra Reghuvaran, A. R. Aswani, Alex Pappachen James:
TMS-Crossbars with Tactile Sensing. - Yilun Xu, Zhengguo Li, Weihai Chen, Changyun Wen:
Color Mapping Functions For HDR Panorama Imaging: Weighted Histogram Averaging. - Abdulhadi Shoufan, Ruba Alkadi:
Integrating Counter-UAS Systems into the UTM System for Reliable Decision Making. - Erik D. Demaine, Sándor P. Fekete, Phillip Keldenich, Dominik Krupke, Joseph S. B. Mitchell:
Area-Optimal Simple Polygonalizations: The CG Challenge 2019. - Ariel Rosenfeld, Nimrod Talmon:
What Should We Optimize in Participatory Budgeting? An Experimental Study. - Daniel Acosta-Soba, Francisco Guillén-González, José Rafael Rodríguez-Galván:
An upwind DG scheme preserving the maximum principle for the convective Cahn-Hilliard model. - Yuzi Yan, Xiaoxiang Li, Xinyou Qiu, Jiantao Qiu, Jian Wang, Yu Wang, Yuan Shen:
Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning. - Guoji Fu, Peilin Zhao, Yatao Bian:
p-Laplacian Based Graph Neural Networks. - Khulood D. Alazwary, Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
On Optimizing Rate Splitting in Laser-based Optical Wireless Networks. - Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres:
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. - Yonghyun Kim:
A Study on the Efficient Product Search Service for the Damaged Image Information. - Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi, Linus Scheibenreif, Kia Khezeli, Adrienne Hoarfrost, Samuel Budd, Patrick Foley, Nicholas Chia, John Kalantari, Graham Mackintosh, Frank Soboczenski, Lauren M. Sanders:
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. - Debarati Das, Evangelos Kipouridis, Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
A Simple Algorithm for Multiple-Source Shortest Paths in Planar Digraphs. - Jean Carlo Moraes:
A Note on the Pure Nash Equilibria for Evolutionary Games on Networks. - Rami Ghannam, Stuart G. Bailey, Hadi Parvizi, Sara Khosravi:
Learning Enhancement in Higher Education with Wearable Technology. - Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova:
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. - Arulkumar Subramaniam, Jayesh Vaidya, Muhammed Abdul Majeed Ameen, Athira M. Nambiar, Anurag Mittal:
Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks. - Javier de Frutos, Julia Novo:
Optimal bounds for numerical approximations of infinite horizon problems based on dynamic programming approach. - Yongjun Yan, Nan Li, Ziyou Song, Jinlong Hong, Bingzhao Gao, Hong Chen, Jing Sun:
Eco-Coasting Strategies Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control. - Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang:
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Vadim Borisov, Johannes Meier, Johannes van den Heuvel, Hamed Jalali, Gjergji Kasneci:
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines. - Dario Pasquini, Danilo Francati, Giuseppe Ateniese:
Eluding Secure Aggregation in Federated Learning via Model Inconsistency. - Ohad Volk, Gonen Singer:
Adaptive Cost-Sensitive Learning in Neural Networks for Misclassification Cost Problems. - Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia:
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. - Melle B. Vessies, Sharvaree P. Vadgama, Rutger R. van de Leur, Pieter A. F. M. Doevendans, Rutger J. Hassink, Erik J. Bekkers, René van Es:
Interpretable ECG classification via a query-based latent space traversal (qLST). - Charles-Edouard Bréhier, David Cohen, Tobias Jahnke:
Splitting integrators for stochastic Lie-Poisson systems. - Mohammad Al-Quraan, Lina S. Mohjazi, Lina Bariah, Anthony Centeno, Ahmed Zoha, Sami Muhaidat, Mérouane Debbah, Muhammad Ali Imran:
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges. - Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. - David M. Bossens, Nicholas Bishop:
Explicit Explore, Exploit, or Escape (E4): near-optimal safety-constrained reinforcement learning in polynomial time. - Simon Tarboush, Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Single- versus Multi-Carrier Terahertz-Band Communications: A Comparative Study. - Farhad Mirkarimi, Stefano Rini, Nariman Farsad:
Neural Capacity Estimators: How Reliable Are They? - Felix Kreuk, Adam Polyak, Jade Copet, Eugene Kharitonov, Tu Anh Nguyen, Morgane Rivière, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi:
Textless Speech Emotion Conversion using Decomposed and Discrete Representations. - Jingshu Liu, Patricia J. Allen, Luke Benz, Daniel Blickstein, Evon Okidi, Xiao Shi:
A Machine Learning Approach for Recruitment Prediction in Clinical Trial Design. - Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith:
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. - Eleanor Wedell, Minhyuk Park, Dmitriy Korobskiy, Tandy J. Warnow, George Chacko:
Center-Periphery Structure in Communities: Extracellular Vesicles. - Somayeh Nemati, Pedro Miguel Lima, Delfim F. M. Torres:
Numerical Solution of Variable-Order Fractional Differential Equations Using Bernoulli Polynomials. - Sina Dezfuli, Zachary Friggstad, Ian Post, Chaitanya Swamy:
Combinatorial Algorithms for Rooted Prize-Collecting Walks and Applications to Orienteering and Minimum-Latency Problems. - Ahmed H. Hareedy, Simeng Zheng, Paul H. Siegel, A. Robert Calderbank:
Read-and-Run Constrained Coding for Modern Flash Devices. - Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers:
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo. - Sharmita Dey, Sabri Boughorbel, Arndt F. Schilling:
Learning a Shared Model for Motorized Prosthetic Joints to Predict Ankle-Joint Motion. - Arsalan Sharif-Nassab, John N. Tsitsiklis:
Jumping Fluid Models and Delay Stability of Max-Weight Dynamics under Heavy-Tailed Traffic. - Roee Ben Shlomo, Yevgeniy Men, Ido Imanuel:
Generating Band-Limited Adversarial Surfaces Using Neural Networks. - Prithwish Jana, Swarnabja Bhaumik, Partha Pratim Mohanta:
Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets. - Sapana Chaudhary, Dileep Kalathil:
Safe Online Convex Optimization with Unknown Linear Safety Constraints. - Fernando Alonso-Fernandez, Julian Fiérrez, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, Hartwig Fronthaler, Klaus Kollreider, Josef Bigün:
A Comparative Study of Fingerprint Image-Quality Estimation Methods. - Eduard Feireisl, Mária Lukácová-Medvid'ová:
Convergence of a stochastic collocation finite volume method for the compressible Navier-Stokes system. - Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis, Mario Acosta, Shupeng Zhu, Donald Dabdub, Andrew Conley, Matthew West, Nicole Riemer, Oriol Jorba:
Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model. - Brendan Hertel, Ryan Donald, Christian Dumas, Seyed Reza Ahmadzadeh:
Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems. - Vishal Dey, Raghu Machiraju, Xia Ning:
Improving Compound Activity Classification via Deep Transfer and Representation Learning. - Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos:
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions. - Shenyu Liu:
Unified stability criteria for perturbed LTV systems with unstable instantaneous dynamics. - Norman Di Palo, Edward Johns:
Learning Multi-Stage Tasks with One Demonstration via Self-Replay. - Jared Mowery:
Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification. - Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth:
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning. - Quentin Blampey, Mehdi Rahim:
HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast. - Amir Hossein Estiri, Muthucumaru Maheswaran:
Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks. - Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination. - Nastaran Gholizadeh, Petr Musílek:
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting. - Abbas Khalili, Alexei Ashikhmin, Hong Yang:
Cell-Free Massive MIMO with Low-Complexity Hybrid Beamforming. - Iman Salehi, Tyler Taplin, Ashwin P. Dani:
Extension of Chance-Constrained System Identification of Nonlinear Discrete Systems with Safety and Stability Guarantees. - Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi:
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors. - Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner:
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. - Deeparnab Chakrabarty, Yu Chen, Sanjeev Khanna:
A Polynomial Lower Bound on the Number of Rounds for Parallel Submodular Function Minimization and Matroid Intersection. - Boning Li, Ananthram Swami, Santiago Segarra:
Power Allocation for Wireless Federated Learning using Graph Neural Networks. - Logan Grout, Joseph Cheriyan, Bundit Laekhanukit:
On a Partition LP Relaxation for Min-Cost 2-Node Connected Spanning Subgraphs. - Toniann Pitassi, Prasanna Ramakrishnan, Li-Yang Tan:
Tradeoffs for small-depth Frege proofs. - Simone Servadio, David Arnas, Richard Linares:
A Koopman Operator Tutorial with Othogonal Polynomials. - Seongjin Choi:
Deep Learning based Urban Vehicle Trajectory Analytics. - Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang:
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks. - Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr:
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. - Huan Qing:
Distribution-Free Models for Community Detection. - Chandrajit Bajaj, Yi Wang, Yunhao Yang, Yuhan Zheng:
Recursive Self-Improvement for Camera Image and Signal Processing Pipeline. - Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman:
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management. - Feras A. Batarseh, Laura J. Freeman:
A Survey on AI Assurance. - Ahmad Alsharoa, Mohamed-Slim Alouini:
Facilitating Satellite-Airborne-Balloon-Terrestrial Integration for Dynamic and Infrastructure-less Networks. - Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, Zhengrong Gu:
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning. - James Bremer:
On the numerical evaluation of the prolate spheroidal wave functions of order zero. - Rafeh Rehan, James Bremer:
An O(1) algorithm for the numerical evaluation of the Sturm-Liouville eigenvalues of the spheroidal wave functions of order zero. - Peng Bao, Zonghai Chen, Jikai Wang, Deyun Dai, Hao Zhao:
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay. - Yu Yol Shin, Yoonjin Yoon:
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting. - Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li:
Time-Frequency Attention for Monaural Speech Enhancement. - Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson:
PatchGraph: In-hand tactile tracking with learned surface normals. - Siyu Lei, Ruiying Yang, Chu-Ren Huang:
Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques. - Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat:
Composing Energy Services in a Crowdsourced IoT Environment. - Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister:
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation. - Jialiang Lin, Jiaxin Song, Zhangping Zhou, Xiaodong Shi:
Automated scholarly paper review: Possibility and challenges. - Samrudhdhi B. Rangrej, James J. Clark:
A Probabilistic Hard Attention Model For Sequentially Observed Scenes. - Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie:
Convergence Analysis of A Second-order Accurate, Linear Numerical Scheme for The Landau-Lifshitz Equation with Large Damping Parameters. - Mario Gleirscher, Jaco van de Pol, Jim Woodcock:
Proceedings First Workshop on Applicable Formal Methods, AppFM@FM 2021, virtual, 23rd November 2021. EPTCS 349, 2021 [contents] - Gábor Erdélyi, Olivia Johanna Erdélyi, Vladimir Estivill-Castro:
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This. - Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. - Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo:
Unsupervised Lightweight Single Object Tracking with UHP-SOT++. - Zhu Li, Yuqing Zhang, Mengxi Nie, Ming Yan, Mengnan He, Ruixiong Zhang, Caixia Gong:
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data. - Alice M. Agogino, Hae Young Jang, Vivek Rao, Ritik Batra, Felicity Liao, Rohan Sood, Irving Fang, R. Lily Hu, Emerson Shoichet-Bartus, John Matranga:
Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information. - Pascale Fung, Hubert Etienne:
Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU. - Hongwei Xu, Leijia Dai, Jianxing Fu, Xiangyuan Wang, Quanwei Wang:
High-Quality Real Time Facial Capture Based on Single Camera. - Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan:
Adding more data does not always help: A study in medical conversation summarization with PEGASUS. - Minghao Liu, Fuqi Jia, Pei Huang, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang:
Can Graph Neural Networks Learn to Solve MaxSAT Problem? - Vishwas Bhargava, Sumanta Ghosh, Mrinal Kumar, Chandra Kanta Mohapatra:
Fast, Algebraic Multivariate Multipoint Evaluation in Small Characteristic and Applications. - Srikant Manas Kala, Vanlin Sathya, Kunal Dahiya, Teruo Higashino, Hirozumi Yamaguchi:
Optimizing Unlicensed Coexistence Network Performance Through Data Learning. - Dongyun Kam, Jung Gyu Min, Jongho Yoon, Sunmean Kim, Seokhyeong Kang, Youngjoo Lee:
Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor. - Naveen Ram, Tanay Gummadi, Rahul Bhethanabotla, Richard J. Savery, Gil Weinberg:
Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning. - Haotong Zhang, Fuhai Chen, Angela Yao:
Weakly-Supervised Dense Action Anticipation. - Zhu Xu, Zhengyao Bai, Huijie Liu, Qianjie Lu, Shenglan Fan:
DFC: Deep Feature Consistency for Robust Point Cloud Registration. - Zhong-Jing Chen, Eduin E. Hernandez, Yu-Chih Huang, Stefano Rini:
DNN gradient lossless compression: Can GenNorm be the answer? - Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang:
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations. - Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang:
Spectral Transform Forms Scalable Transformer. - Kimia Noorbakhsh, Manuel Gomez Rodriguez:
Counterfactual Temporal Point Processes. - Nunzio A. Letizia, Andrea M. Tonello:
Discriminative Mutual Information Estimation for the Design of Channel Capacity Driven Autoencoders. - Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang:
Property Inference Attacks Against GANs. - Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Rationale production to support clinical decision-making. - (Withdrawn) Generate plane quad mesh with neural networks and tree search.
- Benjamin Howson, Ciara Pike-Burke, Sarah Filippi:
Delayed Feedback in Episodic Reinforcement Learning. - Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen:
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising. - Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention Mechanisms in Computer Vision: A Survey. - Gintautas Palubinskas:
On the validation of pansharpening methods. - Mohammad Javad Salehi, Emanuele Parrinello, Hamidreza Bakhshzad Mahmoodi, Antti Tölli:
Low-Subpacketization Multi-Antenna Coded Caching for Dynamic Networks. - Matthias Walter:
Recognizing Series-Parallel Matrices in Linear Time. - Xue Chen, Kuan Cheng, Xin Li, Minghui Ouyang:
Improved Decoding of Expander Codes. - Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang:
AI in Games: Techniques, Challenges and Opportunities. - Niccolo Biondi, Federico Pernici, Matteo Bruni, Alberto Del Bimbo:
CoReS: Compatible Representations via Stationarity. - Achiel Colpaert, Michaël Raes, Evgenii Vinogradov, Sofie Pollin:
Drone delivery: Reliable Cellular UAV Communication Using Multi-Operator Diversity. - Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo:
AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. - Dwarikanath Mahapatra:
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning. - (Withdrawn) Enumerating Minimal Separators in Ranked Order.
- Gonzalo E. Imaz:
The Possibilistic Horn Non-Clausal Knowledge Bases. - L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca, Marco Verani:
Adaptive VEM: Stabilization-Free A Posteriori Error Analysis. - Sangjun Han, Hyeongrae Ihm, Woohyung Lim:
Symbolic Music Loop Generation with VQ-VAE. - (Withdrawn) Calculating Question Similarity is Enough: A New Method for KBQA Tasks.
- Niklas Freymuth, Philipp Becker, Gerhard Neumann:
Versatile Inverse Reinforcement Learning via Cumulative Rewards. - Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Fast Axiomatic Attribution for Neural Networks. - Andrzej Dulny, Andreas Hotho, Anna Krause:
NeuralPDE: Modelling Dynamical Systems from Data. - Poornima Mahadevappa, Raja Kumar Murugesan:
A Data Quarantine Model to Secure Data in Edge Computing. - Stine Fleischer Myhre, Olav Bjarte Fosso, Oddbjørn Gjerde, Poul Einar Heegaard:
Reliability Assessment of Distribution Systems including Microgrids. - Jiawei Yu, Ye Zheng, Xiang Wang, Wei Li, Yushuang Wu, Rui Zhao, Liwei Wu:
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows. - Takuya Isomura:
Quadratic speedup of global search using a biased crossover of two good solutions. - Pierre-Jean Meyer:
Reachability analysis of neural networks using mixed monotonicity. - Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Tingwen Huang:
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars. - Gergo Pintér, Imre Felde:
Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study. - Yanni Papandreou, Jon Cockayne, Mark Girolami, Andrew B. Duncan:
Theoretical Guarantees for the Statistical Finite Element Method. - Carlo Monjaraz-Tec, Johann Gross, Malte Krack:
A massless boundary component mode synthesis method for elastodynamic contact problems. - Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. - Serge Gladkoff, Irina Sorokina, Lifeng Han, Alexandra Alekseeva:
Measuring Uncertainty in Translation Quality Evaluation (TQE). - Johannes K. Kraus, Sergey I. Repin:
A posteriori error estimates for domain decomposition methods. - Mouleeswar Konda, Theo Hofman, Mauro Salazar:
Energy-optimal Design and Control of Electric Powertrains under Motor Thermal Constraints. - Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang:
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration. - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zeyu Wan, Yu Zhang, Bin He, Zhuofan Cui, Weichen Dai, Lipu Zhou, Guoquan Huang:
Observation Contribution Theory for Pose Estimation Accuracy. - Mounir Bensalem, Jasenka Dizdarevic, Admela Jukan:
Benchmarking Various ML Solutions in Complex Intent-Based Network Management Systems. - Nguyen Van Hoang, Soeren Hougaard Mulvad, Yuan Rong Dexter Neo, Yang Yue:
Zero-Shot Learning in Named-Entity Recognition with External Knowledge. - Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin:
Continual Learning via Local Module Composition. - María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor:
Progress in Self-Certified Neural Networks. - Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé:
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements. - Abhinav Lahariya, Varsha Singh, Uma Shanker Tiwary:
Real-time Emotion and Gender Classification using Ensemble CNN. - Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomás Suk, Abir Hussain:
Fast Computation of Hahn Polynomials for High Order Moments. - Xinghua Cheng, Di Hu, Handong He, Guonian Lv, A.-Xing Zhu:
Parsing Data Formats of the Inputs and Outputs of Geographic Models with Code Analysis. - Saif Sidhik, Mohan Sridharan, Dirk Ruiken:
An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks. - Yuhan Fang, Yuqiao Liu, Yanan Sun:
Evolving Deep Neural Networks for Collaborative Filtering. - Franka Bause, Erich Schubert, Nils M. Kriege:
EmbAssi: Embedding Assignment Costs for Similarity Search in Large Graph Databases. - Jobst Landgrebe, Barry Smith:
An argument for the impossibility of machine intelligence. - Bowen Weng, Linda Capito, Ümit Özgüner, Keith A. Redmill:
A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric. - Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe:
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos. - Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor:
Learning Representations for Pixel-based Control: What Matters and Why? - Sekou L. Remy, Aisha Walcott-Bryant, Nelson Kibichii Bore, Charles M. Wachira, Julian Kuehnert:
Overcoming Digital Gravity when using AI in Public Health Decisions. - Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. - Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang:
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. - Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause:
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. - Moshe Babaioff, Shahar Dobzinski, Ron Kupfer:
A Note on the Gains from Trade of the Random-Offerer Mechanism. - Carlos Daniel Hernandez Mena, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Albert Gatt:
Data Augmentation for Speech Recognition in Maltese: A Low-Resource Perspective. - Dominik Stammbach, Boya Zhang, Elliott Ash:
The Choice of Knowledge Base in Automated Claim Checking. - Hamed Mamache, Gabin Mazué, Osama Rashid, Gewu Bu, Maria Potop-Butucaru:
Resilience of IOTA Consensus. - Minati De, Sambhav Khurana, Satyam Singh:
Online Dominating Set and Independent Set. - Yifei Yuan, Wai Lam:
Sentiment Analysis of Fashion Related Posts in Social Media. - Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg:
A teacher-student framework for online correctional learning. - Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp:
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. - Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. - Brendan Juba, Leda Liang:
Conditional Linear Regression for Heterogeneous Covariances. - Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown:
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels. - Yue Lu, Congqi Cao, Yanning Zhang:
Learnable Locality-Sensitive Hashing for Video Anomaly Detection. - Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund:
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder. - Rafael Uetz, Christian Hemminghaus, Louis Hackländer, Philipp Schlipper, Martin Henze:
Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments. - Carlos Ruiz De Mendoza, Bahador Bakhshi, Engin Zeydan, Josep Mangues-Bafalluy:
Near Optimal VNF Placement in Edge-Enabled 6G Networks. - Nikhil Ravi, Anna Scaglione, Sean Peisert:
Colored Noise Mechanism for Differentially Private Clustering. - Konrad Kollnig:
Tracking in apps' privacy policies. - Sarah Schröder, Alexander Schulz, Philip Kenneweg, Robert Feldhans, Fabian Hinder, Barbara Hammer:
Evaluating Metrics for Bias in Word Embeddings. - Daniel Plabst, Tobias Prinz, Thomas Wiegart, Talha Rahman, Nebojsa Stojanovic, Stefano Calabrò, Norbert Hanik, Gerhard Kramer:
Achievable Rates for Short-Reach Fiber-Optic Channels with Direct Detection. - Alex Shtoff, Yair Koren:
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models. - Zichao Zhang, Melda Yuksel, Halim Yanikomeroglu:
Faster-than-Nyquist Signaling for MIMO Communications. - Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. - Dominik Sobania, Martin Briesch, Franz Rothlauf:
Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming. - Mugurel-Ionut Andreica:
Winning Solution of the AIcrowd SBB Flatland Challenge 2019-2020. - Nitish Mital, Katina Kralevska, Cong Ling, Deniz Gündüz:
Functional Broadcast Repair of Multiple Partial Failures in Wireless Distributed Storage Systems. - Padraig Corcoran, Andrei Gagarin:
Heuristics for k-domination models of facility location problems in street networks. - Jianfeng Guo, Charles Ross Schmidtlein, Andrzej Król, Si Li, Yizun Lin, Sangtae Ahn, Charles W. Stearns, Yuesheng Xu:
A Fast Convergent Ordered-Subsets Algorithm with Subiteration-Dependent Preconditioners for PET Image Reconstruction. - Francisco Moreno-Mora, Lukas Beckenbach, Stefan Streif:
Performance bounds of adaptive MPC with bounded parameter uncertainties. - Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann:
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization. - S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. - Girish Kumar Solanki, Anastasios Roussos:
Deep Semantic Manipulation of Facial Videos. - Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. - Karthik Puranik, Bharathi B, Senthil Kumar B:
IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages. - Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint:
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. - Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. - Minsu Kim, Walid Saad, Mohammad Mozaffari, Mérouane Debbah:
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks. - Yixin Chen, Tonmoy Dey, Alan Kuhnle:
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel. - Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek:
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator. - Wenhui Sui, Hengjie Yang, Brendan Towell, Ava Asmani, Richard D. Wesel:
High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths. - Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho, Andrea Lodi:
ZERO: Playing Mathematical Programming Games. - Daniel Deutsch, Dan Roth:
Question-Based Salient Span Selection for More Controllable Text Summarization. - Andreas Abel:
Birkhoff's Completeness Theorem for Multi-Sorted Algebras Formalized in Agda. - Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. - Saad Qadeer, Ehssan Nazockdast, Boyce E. Griffith:
The Projection Extension Method: A Spectrally Accurate Technique for Complex Domains. - Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. - David Wu, Yunnan Wu:
QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity. - Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu:
Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach. - Jonathan Nguyen, Linfang Wang, Chester Hulse, Sahil Dani, Amaael Antonini, Todd Chauvin, Dariush Divsalar, Richard D. Wesel:
Neural Normalized Min-Sum Message-Passing vs. Viterbi Decoding for the CCSDS Line Product Code. - Zuowei Shen, Haizhao Yang, Shijun Zhang:
ReLU Network Approximation in Terms of Intrinsic Parameters. - Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan:
Triggerless Backdoor Attack for NLP Tasks with Clean Labels. - David Acuna, Jonah Philion, Sanja Fidler:
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. - Ken-ichi Kawarabayashi, Anastasios Sidiropoulos:
Embeddings of Planar Quasimetrics into Directed 𝓁1 and Polylogarithmic Approximation for Directed Sparsest-Cut. - Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner:
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. - Jess Banks, Jorge Garza-Vargas, Nikhil Srivastava:
Global Convergence of Hessenberg Shifted QR I: Dynamics. - Eugenia Ternovska:
Towards Capturing PTIME with no Counting Construct (but with a Choice Operator). - Muhammad Shakeel, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai:
Metric-based multimodal meta-learning for human movement identification via footstep recognition. - Hamid Izadinia, Byron Boots, Steven M. Seitz:
Nonprehensile Riemannian Motion Predictive Control. - Václav Skala, Pavel Lederbuch, Bohumir Sup:
A Comparison of O(1) and Cyrus-Beck Line Clipping Algorithms in E2 and E3. - Omid Sadeghi, Maryam Fazel:
Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization. - Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer:
LiT: Zero-Shot Transfer with Locked-image Text Tuning. - Gabriel Skantze, Bram Willemsen:
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings. - Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. - Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. - Farzaneh Mahdisoltani:
Natural Gradient Variational Inference with Gaussian Mixture Models. - Wenhao Wang, Weipu Zhang, Yifan Sun, Yi Yang:
Bag of Tricks and A Strong baseline for Image Copy Detection. - Pedro Ramoneda, Marius Miron, Xavier Serra:
Piano Fingering with Reinforcement Learning. - Robin Schiewer, Laurenz Wiskott:
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning. - Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma:
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. - Cornelius Brand, Martin Koutecký, Alexandra Lassota, Sebastian Ordyniak:
Sometimes, Convex Separable Optimization Is Much Harder than Linear Optimization, and Other Surprises. - Mohammad Karimzadeh-Farshbafan, Walid Saad, Mérouane Debbah:
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework. - Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang:
Margin-Independent Online Multiclass Learning via Convex Geometry. - Faizal M. F. Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain:
A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting. - Jaeyeon Jang:
Synthetic Unknown Class Learning for Learning Unknowns. - Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. - Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet:
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control. - Giorgio Morales, John W. Sheppard:
Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat. - David Sandberg, Tor Kvernvik, Francesco Davide Calabrese:
Learning Robust Scheduling with Search and Attention. - Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao:
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. - William Lima da Silva Pinto, Carina Alves:
Dense Circulant Lattices From Nonlinear Systems. - Robert Robinson:
Assessing gender bias in medical and scientific masked language models with StereoSet. - Zida Wu, Zhaoliang Zheng, Ankur Mehta:
Joint State and Input Estimation of Agent Based on Recursive Kalman Filter Given Prior Knowledge. - Meng Li, Chengyuan Han, Yuanxiang Jiang, Zengru Di:
Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery. - Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek:
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations. - Abhyuday Desai, Cynthia Freeman, Zuhui Wang, Ian Beaver:
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation. - Andrea Scorsoglio, Roberto Furfaro:
VisualEnv: visual Gym environments with Blender. - Adnan Munawar, Zhaoshuo Li, Punit Kunjam, Nimesh Nagururu, Andy S. Ding, Peter Kazanzides, Thomas Looi, Francis X. Creighton, Russell H. Taylor, Mathias Unberath:
Virtual Reality for Synergistic Surgical Training and Data Generation. - Junyoung Jang, Samuel Gélineau, Stefan Monnier, Brigitte Pientka:
Moebius: Metaprogramming using Contextual Types - The stage where System F can pattern match on itself (Long Version). - Erika Melder:
A Chronology of Set Cover Inapproximability Results. - Dustin Morrill, Amy R. Greenwald, Michael Bowling:
The Partially Observable History Process. - Luis Sequeira:
El impacto del buffer en la calidad de servicio. - Sammy Khalife, Amitabh Basu:
Neural networks with linear threshold activations: structure and algorithms. - Richard S. Falk, Ragnar Winther:
The Bubble Transform and the de Rham Complex. - Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders. - Carlo Condo:
A fixed latency ORBGRAND decoder architecture with LUT-aided error-pattern scheduling. - Massimo Fornasier, Timo Klock, Konstantin Riedl:
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law. - Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath:
Joint Unsupervised and Supervised Training for Multilingual ASR. - Zachary Friggstad, Ramin Mousavi, Mirmahdi Rahgoshay, Mohammad R. Salavatipour:
Improved Approximations for CVRP with Unsplittable Demands. - Joseph Schuchart, Christoph Niethammer, José Gracia, George Bosilca:
Quo Vadis MPI RMA? Towards a More Efficient Use of MPI One-Sided Communication. - J. Galvis, Freddy Hernández, Francisco Gómez:
A note on averaging prediction accuracy, Green's functions and other kernels. - Xianglong Tan, Zhikang Liu, Chen Yu, Andre Rosendo:
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing. - Searidang Pa, Rajmohan Rajaraman, David Stalfa:
Improved Bounds for Scheduling Flows under Endpoint Capacity Constraints. - Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. - Haofeng Liu, Yiwen Chen, Jiayi Tan, Marcelo H. Ang Jr.:
Improving Learning from Demonstrations by Learning from Experience. - Ozlem Yildiz, Abbas Khalili, Elza Erkip:
Hybrid Beam Alignment for Multi-Path Channels: A Group Testing Viewpoint. - Wenqiang Yang, Wenyuan Wu, Greg Reid:
Implicit Method for Degenerated Differential-Algebraic Equations and Applications. - Mohamed Akrout, Douglas B. Tweed:
On Bock's Conjecture Regarding the Adam Optimizer. - Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji:
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks. - Dongran Yu, Bo Yang, Dayou Liu, Hui Wang:
A Survey on Neural-symbolic Systems. - Michael Fitzke, Conrad Stack, Andre Dourson, Rodrigo M. B. Santana, Diane Wilson, Lisa Ziemer, Arjun Soin, Matthew P. Lungren, Paul Fisher, Mark Parkinson:
RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice. - Eric Wu, Kevin Wu, James Zou:
Explaining medical AI performance disparities across sites with confounder Shapley value analysis. - Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru, Shabnam Nazmi, Abdollah Homaifar:
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering. - Iddo Drori, Nakul Verma:
Solving Linear Algebra by Program Synthesis. - Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White:
Off-Policy Actor-Critic with Emphatic Weightings. - Jong Woo Nam, Amanda Sofie Rios, Bartlett W. Mel:
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching. - Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath:
Inverse-Weighted Survival Games. - Chen Li, Gim Hee Lee:
Coarse-to-fine Animal Pose and Shape Estimation. - Jason Phang, Angelica Chen, William Huang, Samuel R. Bowman:
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair. - David Wu, Yunnan Wu:
AIR2 for Interaction Prediction. - Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri A. W. Shardt, Tao Peng, Chunhua Yang:
Graph neural network-based fault diagnosis: a review. - Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe:
Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming. - Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Edgar Dobriban, Kostas Daniilidis:
Learning Augmentation Distributions using Transformed Risk Minimization. - Nianzu Zheng, Liqun Deng, Wenyong Huang, Yu Ting Yeung, Baohua Xu, Yuanyuan Guo, Yasheng Wang, Xin Jiang, Qun Liu:
CCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation detection and diagnosis. - Shaoke Fang, Qingsong Liu, Wenfei Wu:
HyperNAT: Scaling Up Network AddressTranslation with SmartNICs for Clouds. - Tianyue Zheng, Zhe Chen, Shujie Zhang, Chao Cai, Jun Luo:
MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar. - Brendan D. O'Connor, Simon Dixon, George Fazekas:
An Exploratory Study on Perceptual Spaces of the Singing Voice. - Meng Cai, Siqing Gan, Yaozhong Hu:
Weak convergence rates for a full implicit scheme of stochastic Cahn-Hilliard equation with additive noise. - Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam:
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks. - Hubert Garavel, Frédéric Lang, Radu Mateescu, Wendelin Serwe:
Is CADP an Applicable Formal Method? 1-11 - Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini, Elvinia Riccobene:
Developing a Prototype of a Mechanical Ventilator Controller from Requirements to Code with ASMETA. 13-29 - Lorenzo Capra:
A Maude Implementation of Rewritable Petri Nets: a Feasible Model for Dynamically Reconfigurable Systems. 31-49 - Yuqing Tian, Zhaoyang Zhang, Zhaohui Yang, Qianqian Yang:
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks. - Yu-Shan Sun, Daniel Welch, Murali Sitaraman:
F-IDEs with Features and VCs Designed to Assist Human Reasoning When Verification Fails. 51-67 - Salwa Souaf, Frédéric Loulergue:
Experience Report: Teaching Code Analysis and Verification Using Frama-C. 69-75 - Carolina Carreira, João F. Ferreira, Alexandra Mendes, Nicolas Christin:
Exploring Usable Security to Improve the Impact of Formal Verification: A Research Agenda. 77-84 - Andras Huebner, Wei Ji, Xiang Xiao:
Meeting Summarization with Pre-training and Clustering Methods. - Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. - Minghao Cai, Gökçe Akçayir, Carrie Demmans Epp:
Exploring Augmented Reality Games in Accessible Learning: A Systematic Review. - Chaoran Li, Xiao Chen, Ruoxi Sun, Jason Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, Yang Xiang:
NatiDroid: Cross-Language Android Permission Specification. - Xi Chen, Xuan Zhang, Yuan Zhou:
Fairness-aware Online Price Discrimination with Nonparametric Demand Models. - Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani, Kartik Hosanagar:
Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI. - Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam:
A Survey on Adversarial Attacks for Malware Analysis. - Armstrong Aboah, Elizabeth Arthur:
Comparative Analysis of Machine Learning Models for Predicting Travel Time. - Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang:
Phase function estimation from a diffuse optical image via deep learning. - Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. - Emily Black, Klas Leino, Matt Fredrikson:
Selective Ensembles for Consistent Predictions. - Haili Wang, Jingda Guo, Xu Ma, Song Fu, Qing Yang, Yunzhong Xu:
Online Self-Evolving Anomaly Detection in Cloud Computing Environments. - Haitao Wang:
A Simple Algorithm for Computing the Zone of a Line in an Arrangement of Lines. - Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. - Kareem M. Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. - Shuyun Luo, Wushuang Wang, Mengyuan Fang, Weiqiang Xu:
Self-encoding Barnacle Mating Optimizer Algorithm for Manpower Scheduling in Flow Shop. - Takuya Kiyokawa, Hiroki Katayama, Jun Takamatsu:
Active Vapor-Based Robotic Wiper. - Tarun Roy, Hasib Hasan, Kowsar Hossain, Masuma Akter Rumi:
Bengali Handwritten Grapheme Classification: Deep Learning Approach. - Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey:
Enabling equivariance for arbitrary Lie groups. - Nir Weinberger:
Generalization Bounds and Algorithms for Learning to Communicate over Additive Noise Channels. - Rui Ding, Tianchi Qiao, Yunan Zhu, Zhitao Zou, Shi Han, Dongmei Zhang:
A Unified and Fast Interpretable Model for Predictive Analytics. - Shuangyang Li, Zhiqiang Wei, Weijie Yuan, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng, Lajos Hanzo:
Faster-than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA. - Samayan Bhattacharya, Sk Shahnawaz:
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning. - Matthias Christandl, Omar Fawzi, Hoang Ta, Jeroen Zuiddam:
Larger Corner-Free Sets from Combinatorial Degenerations. - Xiaoming Li, Guangquan Xu, Wei Yu, Pengfei Jiao, Xiangyu Song:
Analysis of 5G academic Network based on graph representation learning method. - Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori:
Solving Probability and Statistics Problems by Program Synthesis. - Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu:
Pre-training Graph Neural Network for Cross Domain Recommendation. - Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP). - Yongyue Chao, Mingxue Liao, Jiaxin Gao:
Task allocation for decentralized training in heterogeneous environment. - Jing Cao, Zirui Lian, Weihong Liu, Zongwei Zhu, Cheng Ji:
HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. - Paul J. Blazek, Kesavan Venkatesh, Milo M. Lin:
Deep Distilling: automated code generation using explainable deep learning. - Yan Zeng, Xinsong Zhang, Hang Li:
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts. - Kai Liang, Huiru Zhong, Haoning Chen, Youlong Wu:
Wyner-Ziv Gradient Compression for Federated Learning. - Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-based Person Re-Identification. - Mingxin Yang, Jianwei Guo, Zhanglin Cheng, Xiaopeng Zhang, Dong-Ming Yan:
Self-supervised High-fidelity and Re-renderable 3D Facial Reconstruction from a Single Image. - Zhenpeng He, Hao Sun, Jiawei Hou, Yajun Ha, Sören Schwertfeger:
Hierarchical Topometric Representation of 3D Robotic Maps. - Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters:
Few-Shot Self-Rationalization with Natural Language Prompts. - Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann:
Switching Recurrent Kalman Networks. - Berkay Topaloglu, Gülsen Taskin Kaya, Fatih Sutcu, Zeynep Tuna Deger:
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls. - Andreas Nicolaides, Constantinos Psomas, Ioannis Krikidis:
A Markov Chain Approach for Myopic Multi-hop Relaying: Outage and Diversity Analysis. - Julian Rodemann, Thomas Augustin:
Accounting for Gaussian Process Imprecision in Bayesian Optimization. - Chuan-Chi Lai, Hsuan-Yu Lin, Chuan-Ming Liu:
Highly Efficient Indexing Scheme for k-Dominant Skyline Processing over Uncertain Data Streams. - Otmane Azeroual, Joachim Schöpfel, Gunter Saake:
Implementation and user acceptance of research information systems. - Per Erik Strandberg:
Automated System-Level Software Testing of Industrial Networked Embedded Systems. - Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
NENet: Monocular Depth Estimation via Neural Ensembles. - Yue Tao, Zhiwei Jia, Runze Ma, Shugong Xu:
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance. - Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, Qifeng Chen:
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation. - Lukas Beckenbach, Stefan Streif:
A Performance Bound for Model Based Online Reinforcement Learning. - Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf, Mohammad Mavadati:
Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset. - Tongwen Huang, Xihua Li:
An Empirical Study of Finding Similar Exercises. - Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf, Mohammad Mavadati:
Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset. - Marco Ruffini, Frank Slyne:
Moving the Network to the Cloud: the Cloud Central Office Revolution and its Implications for the Optical Layer. - Usama Saqib, Antoine Deleforge, Jesper Rindom Jensen:
Detecting acoustic reflectors using a robot's ego-noise. - Filippo Brunelli, Pierluigi Crescenzi, Laurent Viennot:
On The Complexity of Maximizing Temporal Reachability via Trip Temporalisation. - Rateb Jabbar, Esmat Zaidan, Ahmed Ben Said, Ali Ghofrani:
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques. - Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by convolutional neural networks in the full resolution framework. - Benedikt Perse, Katharina Kormann, Eric Sonnendrücker:
Perfect Conductor Boundary Conditions for Geometric Particle-in-Cell Simulations of the Vlasov-Maxwell System in Curvilinear Coordinates. - Li Wang, Lilon Wangner:
Mathematical Models for Local Sensing Hashes. - Johanne Cohen, Laurence Pilard, Jonas Sénizergues:
Self-Stabilization and Byzantine Tolerance for Maximal Independent Set. - Alistair Francis, John Mrziglod, Panagiotis Sidiropoulos, Jan-Peter Muller:
SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks. - Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls:
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. - Muhammad Afifurrahman:
On The Number of Different Entries in Involutory MDS Matrices over Finite Fields of Characteristic Two. - Zehra Yigit, Ertugrul Basar, Miaowen Wen, Ibrahim Altunbas:
Hybrid Reflection Modulation. - Ohad Amosy, Gal Eyal, Gal Chechik:
Inference-Time Personalized Federated Learning. - Jesús Cerquides:
A first approach to closeness distributions. - Aviral Chharia, Shivu Chauhan, Rahul Upadhyay, Vinay Kumar:
From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses. - Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Batch Model Predictive Control for Selective Laser Melting. - Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang:
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach. - Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. - Solomon Kozlov:
Introduction to Set Shaping Theory. - Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Fight Detection from Still Images in the Wild. - Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope:
Literature-Augmented Clinical Outcome Prediction. - Shangzhe Di, Zeren Jiang, Si Liu, Zhaokai Wang, Leyan Zhu, Zexin He, Hongming Liu, Shuicheng Yan:
Video Background Music Generation with Controllable Music Transformer. - Inbar Huberman-Spiegelglas, Raanan Fattal:
Single Image Object Counting and Localizing using Active-Learning. - Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. - Kanishk, Rushil Kumar, Vikas Rastogi, Ajeet Kumar:
Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System. - Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu:
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. - Ciaran Eising, Leroy-Francisco Pereira, Jonathan Horgan, Anbuchezhiyan Selvaraju, John McDonald, Paul Moran:
2.5D Vehicle Odometry Estimation. - Yi-Chang Chen, Chun-Yen Cheng, Chien-An Chen, Ming-Chieh Sung, Yi-Ren Yeh:
Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition. - Milad Niknejad, Alexandre Bernardino:
Weakly-supervised fire segmentation by visualizing intermediate CNN layers. - Martin Schwarzl, Pietro Borrello, Gururaj Saileshwar, Hanna Müller, Michael Schwarz, Daniel Gruss:
Practical Timing Side Channel Attacks on Memory Compression. - Yoginder Kumar Negi, N. Balakrishnan:
Tridiagonal and Block Tridiagonal computed Sparse Preconditioners for large Electrodynamic Electric Field Integral Equation (EFIE) Solution. - Philipp Kohl, Oliver Schmidts, Lars Klöser, Henri Werth, Bodo Kraft, Albert Zündorf:
STAMP 4 NLP - An Agile Framework for Rapid Quality-Driven NLP Applications Development. - Lucas Bechberger, Kai-Uwe Kühnberger:
Grounding Psychological Shape Space in Convolutional Neural Networks. - Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu:
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. - Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding. - Daniel C. McNamee, Hana Chockler:
Causal policy ranking. - Phillip Baumann, Peter Gangl, Kevin Sturm:
Complete topological asymptotic expansion for L2 and H1 tracking-type cost functionals in dimension two and three. - Nir Diamant, Nitsan Sandor, Alex M. Bronstein:
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples. - Carmelo R. Cartiere:
Formal Quantum Software Engineering: Introducing the Formal Methods of Software Engineering to Quantum Computing. - Wei Guo, Benedetta Tondi, Mauro Barni:
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences. - Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney:
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. - Erik M. Rehn:
Free Will Belief as a consequence of Model-based Reinforcement Learning. - R. Subhash Chandra Bose, Kakarla Yaswanth:
Fourier Neural Networks for Function Approximation. - Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. - Leontine Aarnoudse, Tom Oomen:
Conjugate gradient MIMO iterative learning control using data-driven stochastic gradients. - Hung Nguyen, J. Morris Chang:
Complementary Ensemble Learning. - Hamed Farahmand, Yuanchang Xu, Ali Mostafavi:
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features. - Ying Zeng, Sijie Mai, Haifeng Hu:
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. - Yun William Yu:
On minimizers and convolutional filters: a partial justification for the unreasonable effectiveness of CNNs in categorical sequence analysis. - Shivani Malhotra, Vinay Kumar, Alpana Agarwal:
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation. - Shoufeng Cao, Thomas Miller, Marcus Foth, Warwick Powell, Xavier Boyen, Charles Turner-Morris:
Integrating On-chain and Off-chain Governance for Supply Chain Transparency and Integrity. - Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. - Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. - Wei Xu, Marvin J. Dainoff:
Enabling human-centered AI: A new junction and shared journey. - Jan Zuiderveld, Marco Federici, Erik J. Bekkers:
Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations. - Una Pale, Tomás Teijeiro, David Atienza:
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. - Erich R. Round, Sacha Beniamine, Louise Esher:
The role of attraction-repulsion dynamics in simulating the emergence of inflectional class systems. - Connor Lawless, Sanjeeb Dash, Oktay Günlük, Dennis Wei:
Interpretable and Fair Boolean Rule Sets via Column Generation. - Lalith Sharan, Gabriele Romano, Julian Brand, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Point detection through multi-instance deep heatmap regression for sutures in endoscopy. - Shiliang Zhang:
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning. - Amitalok J. Budkuley, Pranav Joshi, Manideep Mamindlapally, Anuj Kumar Yadav:
On Reverse Elastic Channels and the Asymmetry of Commitment Capacity under Channel Elasticity. - Alexander Brenning:
Spatial machine-learning model diagnostics: a model-agnostic distance-based approach. - Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel, Kadierdan Kaheman, Jared L. Callaham, Charles B. Delahunt, Kathleen P. Champion, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton:
PySINDy: A comprehensive Python package for robust sparse system identification. - Jin Zhang, Lu Liu, Xinghu Wang, Haibo Ji:
Distributed Optimal Output Consensus of Uncertain Nonlinear Multi-Agent Systems over Unbalanced Directed Networks via Output Feedback. - Tom Koren, Lior Talker, Michael Dinerstein, Roy J. Jevnisek:
Consistent Semantic Attacks on Optical Flow. - N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neural Class Expression Synthesis. - Qihao Zhu, Jianxi Luo:
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration. - Xing Li, Qian Huang, Zhijian Wang, Zhenjie Hou, Tianjin Yang:
SequentialPointNet: A strong parallelized point cloud sequence network for 3D action recognition. - Yi Heng Lim, Muhammad Firmansyah Kasim:
Reducing the Long Tail Losses in Scientific Emulations with Active Learning. - Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo:
Patent Data for Engineering Design: A Review. - Danula Hettiachchi, Vassilis Kostakos, Jorge Gonçalves:
A Survey on Task Assignment in Crowdsourcing. - Mustafizur R. Shahid, Hervé Debar:
CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description. - Luciano da F. Costa:
Comparing Cross Correlation-Based Similarities. - Luciano da F. Costa:
Multiset Signal Processing and Electronics. - Kenneth Joseph, Benjamin D. Horne, Jon Green, John P. Wihbey:
Local News Online and COVID in the U.S.: Relationships among Coverage, Cases, Deaths, and Audience. - Luciano da F. Costa:
Common Product Neurons. - Lingxiao Li, Chang Yang:
Block preconditioning methods for asymptotic preserving scheme arising in anisotropic elliptic problems. - David Coudert, André Nusser, Laurent Viennot:
Hyperbolicity Computation through Dominating Sets. - Kuo Jiang, Zian Wang, Xiaodong Yang:
Learning Intrinsic Images for Clothing. - Alexander V. Nikitin, S. T. John, Arno Solin, Samuel Kaski:
Non-separable Spatio-temporal Graph Kernels via SPDEs. - Milad Moradi, Matthias Samwald:
Improving the robustness and accuracy of biomedical language models through adversarial training. - Desen Yuan:
Language bias in Visual Question Answering: A Survey and Taxonomy. - Nirav Vasant Shah, Michele Girfoglio, Peregrina Quintela, Gianluigi Rozza, Alejandro Lengomin, Francesco Ballarin, Patricia Barral:
Finite element based model order reduction for parametrized one-way coupled steady state linear thermomechanical problems. - Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch:
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. - Tatev Karen Aslanyan, Flavius Frasincar:
Utilizing Textual Reviews in Latent Factor Models for Recommender Systems. - Cesar Santoyo, Gustav Nilsson, Samuel Coogan:
Sensitivity to User Mischaracterizations in Electric Vehicle Charging. - Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu:
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. - Harsh Sakhrani, Saloni Parekh, Shubham Mahajan:
Coral: An Approach for Conversational Agents in Mental Health Applications. - Vinitra Swamy, Angelika Romanou, Martin Jaggi:
Interpreting Language Models Through Knowledge Graph Extraction. - Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. - Martin Schwarzl, Erik Kraft, Moritz Lipp, Daniel Gruss:
Remote Memory-Deduplication Attacks. - William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation. - Aggelos Kiayias, Elias Koutsoupias, Aikaterini-Panagiota Stouka:
Incentives Against Power Grabs or How to Engineer the Revolution in a Pooled Proof of Stake System. - Xingxing Xiao, Jianzhong Li:
Rank-Regret Minimization. - Doratossadat Dastgheib, Hadi Farahani:
Doxastic Extensions of Łukasiewicz Logic. - Jeffrey Ma, Alistair Letcher, Florian Schäfer, Yuanyuan Shi, Anima Anandkumar:
Polymatrix Competitive Gradient Descent. - Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang:
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search. - Minglang Qiao, Yufan Liu, Mai Xu, Xin Deng, Bing Li, Weiming Hu, Ali Borji:
Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos. - Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer:
Robust recovery for stochastic block models. - Akshay Jajoo, Rohan Gandhi, Y. Charlie Hu, Cheng-Kok Koh:
Saath: Speeding up CoFlows by Exploiting the Spatial Dimension. - Raphaël Chekroun, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde:
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving. - Abdolghani Ebrahimi, Diego Klabjan:
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. - Amanda Buddemeyer, Erin Walker, Malihe Alikhani:
Words of Wisdom: Representational Harms in Learning From AI Communication. - Chao Pang, Xinzhuo Jiang, Krishna S. Kalluri, Matthew E. Spotnitz, Ruijun Chen, Adler J. Perotte, Karthik Natarajan:
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks. - Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic:
Offline Contextual Bandits for Wireless Network Optimization. - Tim Oosterwijk, Daniel Schmand, Marc Schröder:
Bicriteria Nash Flows over Time. - Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt:
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks. - Taku Yamagata, Ryan McConville, Raúl Santos-Rodríguez:
Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. - Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. - Vladimir A. Dorodnitsyn, Evgenii I. Kaptsov, Sergey V. Meleshko:
Conservative invariant finite-difference schemes for the modified shallow water equations in Lagrangian coordinates. - Lei Cui, Yiheng Xu, Tengchao Lv, Furu Wei:
Document AI: Benchmarks, Models and Applications. - Yongzhi Su, Mingxin Liu, Jason R. Rambach, Antonia Pehrson, Anton Berg, Didier Stricker:
IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects. - Ilia Markov, Hamidreza Ramezani-Kebrya, Dan Alistarh:
Project CGX: Scalable Deep Learning on Commodity GPUs. - Nadaniela Egidi, Josephin Giacomini, Pierluigi Maponi:
Inverse heat conduction to model and optimise a geothermal field. - Vahidreza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi, Tony T. Y. Yang, Seyedali Mirjalili:
A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model. - Ryan J. Kinnear, Ravi R. Mazumdar, Peter Marbach:
Real-time Bidding for Time Constrained Impression Contracts in First and Second Price Auctions - Theory and Algorithms. - Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu:
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. - Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu:
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. - Zerina Kapetanovic, Joshua R. Smith:
Communication by means of Modulated Johnson Noise. - Zijian Zhang, Linglong Dai:
Continuous-Aperture MIMO for Electromagnetic Information Theory. - Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev:
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. - Tim Keil, Stephan Rave:
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. - Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. - Piotr Tomaszewski, Shun Yu, Markus Borg, Jerk Rönnols:
Machine Learning-Assisted Analysis of Small Angle X-ray Scattering. - Liang Xu, Jiacheng Liu, Xiang Pan, Xiaojing Lu, Xiaofeng Hou:
DataCLUE: A Benchmark Suite for Data-centric NLP. - Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Bjoern H. Menze:
FedCostWAvg: A new averaging for better Federated Learning. - Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Diversified Multi-prototype Representation for Semi-supervised Segmentation. - Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian:
Causal Effect Variational Autoencoder with Uniform Treatment. - Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani:
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets. - Braden L. Crimmins, Marshall Rhea, J. Alex Halderman:
RemoteVote and SAFE Vote: Towards Usable End-to-End Verification for Vote-by-Mail. - Zied Ennaceur, Anna Engelmann, Admela Jukan:
Engineering Edge-Cloud Offloading of Big Data for Channel Modelling in THz-range Communications. - Nai-Hui Chia, Kai-Min Chung, Xiao Liang, Takashi Yamakawa:
Post-Quantum Simulatable Extraction with Minimal Assumptions: Black-Box and Constant-Round. - Aaditya Surya:
Machine Learning and Ensemble Approach Onto Predicting Heart Disease. - Christoph J. Hönes, Benjamin Kurt Miller, Ana M. Heras, Bernard H. Foing:
Automatically detecting anomalous exoplanet transits. - Amber Horvath, Michael Xieyang Liu, River Hendriksen, Connor Shannon, Emma Paterson, Kazi Jawad, Andrew Macvean, Brad A. Myers:
Understanding How Programmers Can Use Annotations on Documentation. - Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao:
INTERN: A New Learning Paradigm Towards General Vision. - Rui Xu, Dongxiao Zhang, Nanzhe Wang:
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. - Daniel Lemire:
Unicode at Gigabytes per Second. - Volker John, Petr Knobloch:
On algebraically stabilized schemes for convection-diffusion-reaction problems. - Haripriya Pulyassary, Chaitanya Swamy:
On the Randomized Metric Distortion Conjecture. - Javier Ortega-Garcia, Julian Fiérrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen García-Mateo, José Luis Alba-Castro, Elisardo González-Agulla, Enrique Otero Muras, Sonia Garcia-Salicetti, Lorène Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael C. Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico M. Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran:
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB). - Norman Poh, Thirimachos Bourlai, Josef Kittler, Lorène Allano, Fernando Alonso-Fernandez, Onkar Ambekar, John P. Baker, Bernadette Dorizzi, Omolara Fatukasi, Julian Fiérrez, Harald Ganster, Javier Ortega-Garcia, Donald E. Maurer, Albert Ali Salah, Tobias Scheidat, Claus Vielhauer:
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms. - Fernando Alonso-Fernandez, Julian Fiérrez, Javier Ortega-Garcia:
Quality Measures in Biometric Systems. - Shivam Garg, Santosh S. Vempala:
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. - Abhilash Mishra, Yash Gorana:
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing. - Ali Ekin Gurgen, Anirudha Majumdar, Sushant Veer:
Learning Provably Robust Motion Planners Using Funnel Libraries. - Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Formal Synthesis of Controllers for Uncertain Linear Systems against ω-Regular Properties: A Set-based Approach. - Domenick Poster, Nasser M. Nasrabadi:
Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition. - Matheus Pedra Puime Feijoó, Rodrigo Jardim, Sérgio Manuel Serra da Cruz, Maria Luiza Machado Campos:
GAP Enhancing Semantic Interoperability of Genomic Datasets and Provenance Through Nanopublications. - Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu:
Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. - Gianluigi Lopardo, Damien Garreau, Frédéric Precioso, Greger Ottosson:
SMACE: A New Method for the Interpretability of Composite Decision Systems. - Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Scene Dynamics from Point Cloud Sequences. - Linfang Wang, Dan Song, Felipe Areces, Richard D. Wesel:
Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping. - Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen:
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. - Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar:
Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data. - Alan F. Smeaton:
Computer Vision for Supporting Image Search. - Pinelopi Papalampidi, Frank Keller, Mirella Lapata:
Film Trailer Generation via Task Decomposition. - Daniel Amir, Tegan Wilson, Vishal Shrivastav, Hakim Weatherspoon, Robert Kleinberg, Rachit Agarwal:
Optimal Oblivious Reconfigurable Networks. - Vassilis Digalakis Jr., George N. Karystinos, Minos N. Garofalakis:
Improved Pan-Private Stream Density Estimation. - Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper:
Detecting AutoAttack Perturbations in the Frequency Domain. - Aparajita Dey-Plissonneau, Hyowon Lee, Michael Scriney, Alan F. Smeaton, Vincent Pradier, Hamza Riaz:
Facilitating reflection in teletandem through automatically generated conversation metrics and playback video. - Bilal Yousuf, Muhammad Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisín Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan, Jane Suiter:
PROVENANCE: An Intermediary-Free Solution for Digital Content Verification. - André Ofner, Sebastian Stober:
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding. - Dimitrios Gkenosis, Nathaniel Grammel, Lisa Hellerstein, Devorah Kletenik:
The Stochastic Boolean Function Evaluation Problem for Symmetric Boolean Functions. - Deniz Sezin Ayvaz, Inci M. Baytas:
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation. - Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt:
DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus. - Sarik Ghazarian, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, Dilek Hakkani-Tur:
User Response and Sentiment Prediction for Automatic Dialogue Evaluation. - Nail K. Yamaleev, Johnathon Upperman:
High-order Positivity-preserving L2-stable Spectral Collocation Schemes for the 3-D compressible Navier-Stokes equations. - Hung Nguyen, Minh Nguyen, Long Pham, Jennifer Adorno Nieves:
Compressive Features in Offline Reinforcement Learning for Recommender Systems. - Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga:
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. - Shan Wang, Ming Yang, Tingjian Ge, Yan Luo, Xinwen Fu:
BBS: A Blockchain Big-Data Sharing System. - Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Ibrahim Sabek, Tim Kraska:
The Case for Learned In-Memory Joins. - Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan:
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. - Manfred G. Kratzenberg, Hans Helmut Zürn, Ricardo Rüther:
One hundred percent renewable energy generation in 2030 with the lowest cost commercially available power plants. - Amama Mahmood, Gopika Ajaykumar, Chien-Ming Huang:
How Mock Model Training Enhances User Perceptions of AI Systems. - Seong Hun Lee, Javier Civera:
HARA: A Hierarchical Approach for Robust Rotation Averaging. - Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang:
Federated Learning for Smart Healthcare: A Survey. - Brendan D. O'Connor, Simon Dixon, George Fazekas:
Zero-shot Singing Technique Conversion. - Max Würfel, Qiwei Han, Maximilian Kaiser:
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. - Salman Ahmed, Ya Xiao, Taejoong Chung, Carol J. Fung, Moti Yung, Danfeng Yao:
Privacy Guarantees of BLE Contact Tracing: A Case Study on COVIDWISE. - Mohammad Rowshan, Son Hoang Dau, Emanuele Viterbo:
Error Coefficient-reduced Polar/PAC Codes. - Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. - Xintong Shi, Wenzhi Cao, Sebastian Raschka:
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. - Xiaowu Sun, Yasser Shoukry:
NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems. - Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang:
Fairness Testing of Deep Image Classification with Adequacy Metrics. - Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang:
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition. - Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta:
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. - Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
A label efficient two-sample test. - Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni:
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. - Mario Alberto Duran-Vega, Miguel González-Mendoza, Leonardo Chang, Cuauhtemoc Daniel Suarez-Ramirez:
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video. - Sungho Lee, Narae Choi, Woongil Choi:
Enhanced Correlation Matching based Video Frame Interpolation. - Harsh Tataria, Mansoor Shafi, Mischa Dohler, Shu Sun:
Six Critical Challenges for 6G Wireless Systems. - Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. - Varundev Sukhil, Madhur Behl:
Adaptive Lookahead Pure-Pursuit for Autonomous Racing. - Junyan Cheng, Iordanis Fostiropoulos, Barry W. Boehm:
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization. - Ankit Kulshrestha, Ilya Safro:
FAIRLEARN: Configurable and Interpretable Algorithmic Fairness. - Zainab Husain, A. Al Zaabi, Hanno Hildmann, Fabrice Saffre, Dymitr Ruta, A. F. Isakovic:
Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms. - Stefan Pillwein, Przemyslaw Musialski:
Generalized Deployable Elastic Geodesic Grids. - Ruiqi Mao, Rongxin Cui:
Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure. - Gilvir Gill:
Measuring Geometric Similarity Across Possible Plans for Automated Redistricting. - Shen Zheng, Changjie Lu, Yuxiong Wu, Gaurav Gupta:
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining. - Dipanjan Das, Priyanka Bose, Nicola Ruaro, Christopher Kruegel, Giovanni Vigna:
Understanding Security Issues in the NFT Ecosystem. - Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. - Gilad Baruch, Zhuoyuan Chen, Afshin Dehghan, Tal Dimry, Yuri Feigin, Peter Fu, Thomas Gebauer, Brandon Joffe, Daniel Kurz, Arik Schwartz, Elad Shulman:
ARKitScenes - A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data. - Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes:
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. - Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen:
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. - Hengshun Zhou, Jun Du, Yuanyuan Zhang, Qing Wang, Qing-Feng Liu, Chin-Hui Lee:
Information Fusion in Attention Networks Using Adaptive and Multi-level Factorized Bilinear Pooling for Audio-visual Emotion Recognition. - Constantinos Daskalakis, Noah Golowich:
Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games. - Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge:
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation. - Songling Zhang, Hua Xiang:
Quantum Algorithm for Matrix Logarithm by Integral Formula. - Qian Zuo, Hua Xiang:
A quantum-inspired algorithm for approximating statistical leverage scores. - William Gasarch, Nathan Hayes, Emily Kaplitz, William Regli:
Alternative Paradigms of Computation. - Jaewon Lee, Kyong Hwan Jin:
Local Texture Estimator for Implicit Representation Function. - Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha:
EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching. - Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto:
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification. - Ryota Iijima, AprilPyone MaungMaung, Hitoshi Kiya:
Protection of SVM Model with Secret Key from Unauthorized Access. - Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Achievable Rate of Near-Field Communications Based on Physically Consistent Models. - Barrett Ames, Jeremy Morgan, George Konidaris:
IKFlow: Generating Diverse Inverse Kinematics Solutions. - Wenwen Wu, Shuai Liu, Shanying Zhu:
Distributed Dual Gradient Tracking for Economic Dispatch in Power Systems with Noisy Information. - TianZhang He, Adel Nadjaran Toosi, Rajkumar Buyya:
Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing. - Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. - TianZhang He, Adel Nadjaran Toosi, Rajkumar Buyya:
CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds. - Mariam Ishtiaq, Nasir Saeed, Muhammad Asif Khan:
Edge Computing in IoT: A 6G Perspective. - Jianyu Hu, Dongfang Li, Jinqiao Duan, Xiaoli Chen:
Data-driven method to learn the most probable transition pathway and stochastic differential equations. - Davood Bakhshesh, Dinabandhu Pradhan:
On the coalition number of graphs. - Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli:
Fast Yet Effective Machine Unlearning. - Hengyao Bao, Xihua Li, Xuemin Zhao, Yunbo Cao:
Exploring Student Representation For Neural Cognitive Diagnosis. - Delv Lin, Qi Chen, Chengyu Zhou, Kun He:
TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking. - Nguyen Thi Thanh Van, Huy T. Nguyen, Nguyen Cong Luong, Ngo Manh Tien, Dusit Niyato, Dong In Kim:
Intelligence Reflecting Surface-Aided Integrated Data and Energy Networking Coexisting D2D Communications. - Ruoxu Cen, Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Kent Quanrud, Thatchaphol Saranurak:
Minimum Cuts in Directed Graphs via Partial Sparsification. - Drew A. Hudson, C. Lawrence Zitnick:
Compositional Transformers for Scene Generation. - Julia Topp, Jan Hendrik Hille, Michael Neumann, David Mötefindt:
How a 4-day Work Week affects Agile Software Development Teams. - Sanjay Jain, Xiaodong Jia, Ammar Fathin Sabili, Frank Stephan:
Addition Machines, Automatic Functions and Open Problems of Floyd and Knuth. - Yevgeni Gutnik, Aviad Avni, Tali Treibitz, Morel Groper:
On the modification of the SPARUS II AUV for close range imaging survey platform. - Xuelong Dai, Yanjie Li, Hua Dai, Bin Xiao:
Generating Unrestricted 3D Adversarial Point Clouds. - Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu:
Pedestrian Detection by Exemplar-Guided Contrastive Learning. - Sebastian Forster, Martin Grösbacher, Tijn de Vos:
An Improved Random Shift Algorithm for Spanners and Low Diameter Decompositions. - E. A. Kiselev, Pavel N. Telegin, Boris M. Shabanov:
An energy-efficient scheduling algorithm for shared facility supercomputer centers. - Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici:
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks. - Yong Gao, Wangtao Lu:
Wave scattering in layered orthotropic media I: a stable PML and a high-accuracy boundary integral equation method. - Xiaoteng Zhou, Changli Yu, Xin Yuan, Yi Wu, Haijun Feng, Citong Luo:
Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features. - Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty:
Self-Learning Tuning for Post-Silicon Validation. - Mukesh Rawat, Neha Kaushik:
NLP based grievance redressal system for Indian Railways. - Moritz von Tresckow, Stefan Kurz, Herbert De Gersem, Dimitrios Loukrezis:
A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation. - Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li:
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network. - Yiwen Wang, Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li:
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data. - Pascal Baumann, Rupak Majumdar, Ramanathan S. Thinniyam, Georg Zetzsche:
Context-Bounded Verification of Thread Pools. - G. Madhuri, Atul Negi:
Discriminative Dictionary Learning based on Statistical Methods. - Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida:
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. - Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. - Shubham Bharadwaj:
Using Convolutional Neural Networks to Detect Compression Algorithms. - Lars Klöser, Philipp Kohl, Bodo Kraft, Albert Zündorf:
Multi-Attribute Relation Extraction (MARE) - Simplifying the Application of Relation Extraction. - Yusuf Efe:
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS. - Ahmad Nasikun, Klaus Hildebrandt:
The Hierarchical Subspace Iteration Method for Laplace-Beltrami Eigenproblems. - Julien Berger, Madina Abdykarim:
Average reduced model to simulate solutions for heat and mass transfer through porous material. - Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty:
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\. - Marc Martinez-Gost, Israel Leyva-Mayorga, Ana I. Pérez-Neira, Miguel Ángel Vázquez, Beatriz Soret, Marco Moretti:
Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites. - Jiawei Hu, Wenhang Liu, Heng Zhang, Zhenhua Xiong:
Obstacle Crossing by Multi-mobile Robots in Object Transportation with Deformable Sheet. - Julien Berger, Clemence Legros, Madina Abdykarim:
Dimensionless formulation and similarity to assess the main phenomena of heat and mass transfer in building porous material. - Till Fluschnik, Pascal Kunz:
Bipartite Temporal Graphs and the Parameterized Complexity of Multistage 2-Coloring. - Yanyi Chen, Zhiqing Zhong, Shangsheng Wen, Weipeng Guan:
Technology Report: Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning. - Jun Sung Choi, Dongryul Park, Suil Kim, Seungyoung Ahn:
Implementation of Noise-Shaped Signaling System through Software-Defined Radio. - Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos, Aimilios Chalamandaris, Georgia Maniati, Panos Kakoulidis, Spyros Raptis, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis:
High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency. - William Evans, Rebecca Lin:
The Polygon Burning Problem. - Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness:
Improving Person Re-Identification with Temporal Constraints. - Seyma Bodur, Edgar Martínez-Moro, Diego Ruano:
Private Information Schemes Using Cyclic Codes. - Arijit Dasgupta, Yi-Xue Yan, Clarence Ong, Jenn-Yue Teo, Chia Wei Lim:
Exploring Unsupervised Learning Methods for Automated Protocol Analysis. - Aleksandra Edwards, Asahi Ushio, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece:
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification. - Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. - Georgia Maniati, Nikolaos Ellinas, Konstantinos Markopoulos, Georgios Vamvoukakis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis:
Cross-lingual Low Resource Speaker Adaptation Using Phonological Features. - Dominik Hintersdorf, Lukas Struppek, Kristian Kersting:
Do Not Trust Prediction Scores for Membership Inference Attacks. - Yulan Hu, Yong Liu:
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application. - Jasper Tan, Arijit Dasgupta, Arjun Agrawal, Sutthiphong Srigrarom:
Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera. - Ramón Viñas, Xu Zheng, Jer Hayes:
A Graph-based Imputation Method for Sparse Medical Records. - Xu Zheng, Nicholas McCarthy, Jer Hayes:
Network Generation with Differential Privacy. - Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer:
A Case Study of Vehicle Route Optimization. - Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare:
Motion Detection using CSI from Raspberry Pi 4. - Steve Alpern:
The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions. - Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. - Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi:
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. - Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. - Yarong Luo, Yang Liu, Chi Guo, Jingnan Liu:
The Unified Mathematical Framework for IMU Preintegration in Inertial-Aided Navigation System. - Marie-Hélène Azam, Julien Berger, Sihem Guernouti, Philippe Poullain, Marjorie Musy:
Parametric PGD model used with orthogonal polynomials to assess efficiently the building's envelope thermal performance. - Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. - Jiangwei Liu, Xiaohong Huang:
Forecasting Crude Oil Price Using Event Extraction. - SeungKee Jeon:
2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track. - Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. - Xiao Pan, Tony T. Y. Yang:
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking. - Jonas Schulz, Rafael Poyiadzi, Raúl Santos-Rodríguez:
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. - Pengzhan Guo, Keli Xiao, Zeyang Ye, Wei Zhu:
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning. - David Cemernek:
Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification. - Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut:
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. - Julien Berger, Suelen Gasparin, Walter Mazuroski, Nathan Mendes:
An efficient two-dimensional heat transfer model for building envelopes. - Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. - Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. - Erik Vargo, Alex Tien, Arian Jafari:
Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach. - Maksim Raenchuk, Vitaly Cheptsov, Alexey Khoroshilov:
Cross-platform graphics subsystem for an ARINC 653-compatible real-time operating system. - Troy Maasland, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin:
Interpretable Models via Pairwise permutations algorithm. - Konstantinos Markopoulos, Nikolaos Ellinas, Alexandra Vioni, Myrsini Christidou, Panos Kakoulidis, Georgios Vamvoukakis, Georgia Maniati, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis, Aimilios Chalamandaris:
Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control. - Si Wei Feng, Jingjin Yu:
Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines. - Zhenbo Cheng, Xingguang Liu, Leilei Zhang, Hangcheng Meng, Qin Li, Gang Xiao:
Improved cooperation by balancing exploration and exploitation in intertemporal social dilemma tasks. - Babar Shahzaad, Athman Bouguettaya:
Top-k Dynamic Service Composition in Skyway Networks. - Rohit Konda, David Grimsman, Jason R. Marden:
Execution Order Matters in Greedy Algorithms with Limited Information. - Myssar Jabbar Hammood Al-Battbootti, Iuliana Marin, Nicolae Goga, Ramona Popa:
Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle. - Ainagul Jumabekova, Julien Berger, Aurélie Foucquier:
An efficient sensitivity analysis for energy performance of a building envelope: a continuous derivative based approach. - Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross:
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance. - Ainagul Jumabekova, Julien Berger, Aurélie Foucquier, George S. Dulikravich:
Searching an optimal experiment observation sequence to estimate the thermal properties of a multilayer wall under real climate conditions. - Thomas Sandholm, Sayandev Mukherjee:
MASS: Mobile Autonomous Station Simulation. - Charig Yang, Weidi Xie, Andrew Zisserman:
It's About Time: Analog Clock Reading in the Wild. - Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma:
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. - Julien Berger, Benjamin Kadoch:
Estimation of the thermal properties of an historic building wall by combining Modal Identification Method and Optimal Experiment Design. - Tal Alon, Paul Dütting, Inbal Talgam-Cohen:
Contracts with Private Cost per Unit-of-Effort. - Alexander Trautsch, Steffen Herbold, Jens Grabowski:
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality. - Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang:
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind. - Rui Hu, Jitao Sang, Jinqiang Wang, Rui Hu, Chaoquan Jiang:
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data. - Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu:
Preference Communication in Multi-Objective Normal-Form Games. - Sucheta Dawn, Sanghamitra Bandyopadhyay:
IV-GNN : Interval Valued Data Handling Using Graph Neural Network. - Feng Xue, Anlong Ming, Yu Zhou:
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression. - Kyle Stachowicz, Evangelos A. Theodorou:
Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming. - Michael Neumann:
The Integrated List of Agile Practices - A Tertiary Study. - Vishrant Tripathi, Rajat Talak, Eytan H. Modiano:
Information Freshness in Multi-Hop Wireless Networks. - André Weißenberger, Bertil Schmidt:
Accelerating JPEG Decompression on GPUs. - Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, Gu-Yeon Wei, David Brooks:
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators. - Jatinder Kumar, Ashutosh Kumar Singh:
A Discussion and Comparative Study on Security and Privacy of Smart Meter Data. - Emanuele Falzone, Riccardo Tommasini, Emanuele Della Valle, Petra Selmer, Stefan Plantikow, Hannes Voigt, Keith Hare, Ljubica Lazarevic, Tobias Lindaaker:
Semantic Foundations of Seraph Continuous Graph Query Language. - Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller:
DA-LMR: A Robust Lane Markings Representation for Data Association Methods. - Rabee Jibrin, Stuart Hillmansen, Clive Roberts:
Convex Optimization for Fuel Cell Hybrid Trains: Speed, Energy Management System, and Battery Thermals. - Srijith Unni, Sushma Suryanarayana Gowda, Alan F. Smeaton:
An Investigation into Keystroke Dynamics and Heart Rate Variability as Indicators of Stress. - Ahmad Nasikun, Klaus Hildebrandt:
Evaluations of The Hierarchical Subspace Iteration Method. - Joaquín Delgado Fernández, Sergio Potenciano Menci, Charles Lee, Gilbert Fridgen:
Secure Federated Learning for Residential Short Term Load Forecasting. - Chris Jones, Aaron Potechin, Goutham Rajendran, Madhur Tulsiani, Jeff Xu:
Sum-of-Squares Lower Bounds for Sparse Independent Set. - Anupam Gupta, Amit Kumar, Debmalya Panigrahi:
A Hitting Set Relaxation for k-Server and an Extension to Time-Windows. - Amey Bhangale, Aleksa Stankovic:
Max-3-Lin over Non-Abelian Groups with Universal Factor Graphs. - Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik:
Acquisition of Chess Knowledge in AlphaZero. - Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio:
GFlowNet Foundations. - Zhenxing Zhang, Lambert Schomaker:
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation. - Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. - Nosin Ibna Mahbub, Md. Rakibul Islam, Md. Al Amin, Md. Khairul Islam, Bikash Chandra Singh, Md. Imran Hossain Showrov, Anirudda Sarkar:
Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic. - Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch:
Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval. - Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. - Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut:
Differentially Private Federated Learning on Heterogeneous Data. - Milan Straka, Jakub Náplava, Jana Straková:
Character Transformations for Non-Autoregressive GEC Tagging. - Marc Carrascosa, Giovanni Geraci, Edward W. Knightly, Boris Bellalta:
An Experimental Study of Latency for IEEE 802.11be Multi-link Operation. - Yan Liu, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, George K. Karagiannidis:
Optimization of Grant-Free NOMA with Multiple Configured-Grants for mURLLC. - Md Umar Hashmi, Mohammed Meraj Alam:
Impact of subsidy on profitability of residential photovoltaics, battery and inverter in Flanders. - Anupam Gupta, Euiwoong Lee, Jason Li, Marcin Mucha, Heather Newman, Sherry Sarkar:
Matroid-Based TSP Rounding for Half-Integral Solutions. - James Ferlez, Haitham Khedr, Yasser Shoukry:
Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks. - Konstantinos Agathos, Tim J. Dodwel, Eleni N. Chatzi, Stéphane P. A. Bordas:
An adapted deflated conjugate gradient solver for robust extended/generalised finite element solutions of large scale, 3D crack propagation problems. - Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. - Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. - Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim:
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency. - Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys:
Learning to Align Sequential Actions in the Wild. - Gokberk Yaylali, Bayram Cevdet Akdeniz, Tuna Tugcu, Ali Emre Pusane:
Channel Modeling for Multi-Receiver Molecular Communication Systems. - Gilheum Park, Sua Jung:
Facial Information Analysis Technology for Gender and Age Estimation. - Archit Parnami, Mayuri Deshpande, Anant Kumar Mishra, Minwoo Lee:
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks. - Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé:
Stream Sampling with Immediate Decision. - Edward Elson Kosasih, Rucha Bhalchandra Joshi, Janamejaya Channegowda:
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation. - Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath:
Temporally Consistent Online Depth Estimation in Dynamic Scenes. - Hakima Bessaih, Annie Millet:
Strong L2 convergence of time Euler schemes for stochastic 3D Brinkman-Forchheimer-Navier-Stokes equations. - Daniel Galvez, Greg Diamos, Juan Ciro, Juan Felipe Cerón, Keith Achorn, Anjali Gopi, David Kanter, Maximilian Lam, Mark Mazumder, Vijay Janapa Reddi:
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Kumar Saurabh, Santi Adavani, Kendrick Tan, Masado Ishii, Boshun Gao, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources. - Aimee Goncalves, Naveen Kuppuswamy, Andrew Beaulieu, Avinash Uttamchandani, Katherine M. Tsui, Alex Alspach:
Punyo-1: Soft tactile-sensing upper-body robot for large object manipulation and physical human interaction. - Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal:
Personalized Federated Learning through Local Memorization. - Dajana Conte, Gianluca Frasca Caccia:
Exponentially fitted methods that preserve conservation laws. - Jialing Pei, Vitaly Shmatikov:
BigFoot: Exploiting and Mitigating Leakage in Encrypted Write-Ahead Logs. - Tom Gur, Noam Lifshitz, Siqi Liu:
Hypercontractivity on High Dimensional Expanders: Approximate Efron-Stein Decompositions for ε-Product Spaces. - Anders Aamand, Adam Karczmarz, Jakub Lacki, Nikos Parotsidis, Peter M. R. Rasmussen, Mikkel Thorup:
Optimal Decremental Connectivity in Non-Sparse Graphs. - Nuno Pereira, Luís A. Alexandre:
MPF6D: Masked Pyramid Fusion 6D Pose Estimation. - Mayur Sawant, Soulaimane Berkane, Ilia Polusin, Abdelhamid Tayebi:
Hybrid Feedback for Autonomous Navigation in Environments with Arbitrary Convex Obstacles. - Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan:
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. - Lucas Lugnani, Morgan Jones, Luís F. C. Alberto, Daniel Dotta:
Combining Trajectory Data with Energy Functions for Improved Region of Attraction Estimation. - David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. - Jun Liu, Ryan K. Williams:
Monitoring Over the Long Term: Intermittent Deployment and Sensing Strategies for Multi-Robot Teams. - Jun Liu, Ryan K. Williams:
Submodular Optimization for Coupled Task Allocation and Intermittent Deployment Problems. - Markus Freitag, David Grangier, Qijun Tan, Bowen Liang:
Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality. - Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low Precision Decentralized Distributed Training with Heterogeneous Data. - Cédric Escudero, Carlos Murguia, Paolo Massioni, Eric Zamaï:
Enforcing Safety under Actuator Attacks through Input Filtering. - Syeda Aneeba Najeeb, Rana Hammad Raza, Adeel Yusuf, Zamra Sultan:
Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning. - Pasi Pyrrö, Hassan Naseri, Alexander Jung:
Rethinking Drone-Based Search and Rescue with Aerial Person Detection. - Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang:
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge. - Doha Hamza, Hajar El Hammouti, Jeff S. Shamma, Mohamed-Slim Alouini:
Multi-sided Matching for the Association of Space-Air-Ground Integrated Systems. - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events. - Gyan Deep Verma, Aashish Mathur, Yun Ai, Michael Cheffena:
Mixed Dual-Hop IRS-Assisted FSO-RF Communication System with H-ARQ Protocols. - Yizhi Liu, Fang Yu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. - Sulaiman Khan, Suleman Khan, Yasir Ali, Muhammad Khalid, Zahid Ullah, Shahid Mumtaz:
Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach. - Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen:
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. - Esmail M. M. Abuhdima, Ahmed El Qaouaq, Shakendra Alston, Kirk Ambrose, Gurcan Comert, Jian Liu, Chunheng Zhao, Chin-Tser Huang, Pierluigi Pisu:
Impact of Weather Conditions on 5G Communication Channel under Connected Vehicles Framework. - Akash S. Doshi, Jeffrey G. Andrews:
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. - Vahid Jamali, George C. Alexandropoulos, Robert Schober, H. Vincent Poor:
Low-to-Zero-Overhead IRS Reconfiguration: Decoupling Illumination and Channel Estimation. - Pengcheng Wang, Edgardo Barsallo Yi, Tomas Ratkus, Somali Chaterji:
ORPHEUS: Living Labs for End-to-End Data Infrastructures for Digital Agriculture. - Nupur Choudhury, Chinmoy Kalita, Kandarpa Kumar Sarma:
Design of a Scalable 4G Portable Network Using Low Cost SDR And Raspberry Pi. - Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Giuseppe Caire, Andreas F. Molisch:
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. - Hans Kleemann:
Novel Concepts for Organic Transistors: Physics, Device Design, and Applications. - Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. - Shamiul Alam, Md. Shafayat Hossain, Srivatsa Rangachar Srinivasa, Ahmedullah Aziz:
Cryogenic Memory Technologies. - Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco:
Sustainable Artificial Intelligence through Continual Learning. - Sara Grubanov-Boskovic, Spyridon Spyratos, Stefano Maria Iacus, Umberto Minora, Francesco Sermi:
Monitoring COVID-19-induced gender differences in teleworking rates using Mobile Network Data. - Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments. - Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan:
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. - Jason M. Allred, Kaushik Roy:
L4-Norm Weight Adjustments for Converted Spiking Neural Networks. - Joshua J. Daymude, Andréa W. Richa, Christian Scheideler:
Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems. - Darren Tsai, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot:
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation. - Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos:
Efficient deep learning models for land cover image classification. - Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes. - Juan Manuel Pérez, Damián Ariel Furman, Laura Alonso Alemany, Franco Luque:
RoBERTuito: a pre-trained language model for social media text in Spanish. - Yoonjae Lee, Efstathios Bakolas, Maruthi R. Akella:
Feedback Strategies for Hypersonic Pursuit of a Ground Evader. - Dmitriy Drusvyatskiy, Lillian J. Ratliff:
Improved rates for derivative free play in convex games. - Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. - Nathan Toner, Justin Fletcher:
Self-Attending Task Generative Adversarial Network for Realistic Satellite Image Creation. - Bei Xu, Victor Paduani, Hui Yu, David Lubkeman, Ning Lu:
A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources. - Apurva Kalia, Dilip Krishnan, Soha Hassoun:
Contrastive Multiview Coding for Enzyme-Substrate Interaction Prediction. - Miguel A. Salazar de Troya, Daniel A. Tortorelli, Julian Andrej, Victor A. Beck:
Three-dimensional topology optimization of heat exchangers with the level-set method. - Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu:
Transmission power policies for energy-efficient wireless control of nonlinear system. - Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. - Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns. - Jie Zhang, Robert B. Fisher:
3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions. - Bowen Qin, Lihan Wang, Binyuan Hui, Ruiying Geng, Zheng Cao, Min Yang, Jian Sun, Yongbin Li:
SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing. - Zhicheng Zhou, Hailong Chen, Kunhua Li, Fei Hu, Bingjie Yan, Jieren Cheng, Xuyan Wei, Bernie Liu, Xiulai Li, Fuwen Chen, Yongji Sui:
A Novel Optimized Asynchronous Federated Learning Framework. - Mehdi Sadi, Bashir M. Sabquat Bahar Talukder, Kaniz Mishty, Md. Tauhidur Rahman:
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation. - Zijian Zhou, Li Wang, Zhenya Yan:
Data-driven discovery of Bäcklund transforms and soliton evolution equations via deep neural network learning schemes. - Pengfei Guo, Vishal M. Patel:
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transforme. - Emmanuel Dadzie, Kelvin Kwakye:
Developing a Machine Learning Algorithm-Based Classification Models for the Detection of High-Energy Gamma Particles. - Wen Yang, Zheng Gong, Baifu Huang, Xiaoping Hong:
Lidar with Velocity: Motion Distortion Correction of Point Clouds from Oscillating Scanning Lidars. - Haoli Bai, Hongda Mao, Dinesh Nair:
Dynamically pruning segformer for efficient semantic segmentation. - Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. - Li Yang, Mai Xu, Shengxi Li, Yichen Guo, Zulin Wang:
Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video. - Shichuan Deng:
On Clustering with Discounts. - Songzi Liu, Yuan Luo:
Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population. - R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. - Stephen J. Thomas, Arielle Carr, Kasia Swirydowicz, Marc Day:
ILUT Smoothers for Hybrid C-AMG with Scaled Triangular Factors. - Yantao Lu, Xuetao Hao, Shiqi Sun, Weiheng Chai, Muchenxuan Tong, Senem Velipasalar:
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation. - Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu:
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments. - Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. - Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang:
Learning Modified Indicator Functions for Surface Reconstruction. - Ruba Alkadi, Noura Alnuaimi, Abdulhadi Shoufan, Chan Yeob Yeun:
Blockchain Interoperability in UAV Networks: State-of-the-art and Open Issues. - Ankit Shah, Tzu-Hsiang Lin, Shijie Wu:
Triple Attention Network architecture for MovieQA. - Manzoor Hussain, Nazakat Ali, Jang-Eui Hong:
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior. - Md Abdullah Al Nasim, Aditi Dhali, Faria Afrin, Noshin Tasnim Zaman, Nazmul Karim:
The Prominence of Artificial Intelligence in COVID-19. - Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers:
Deep neural networks-based denoising models for CT imaging and their efficacy. - Pengcheng He, Jianfeng Gao, Weizhu Chen:
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. - Yuke Wang, Boyuan Feng, Yufei Ding:
QGTC: Accelerating Quantized GNN via GPU Tensor Core. - Dmitry Antonov, Kirill Sviatov, Sergey V. Sukhov:
Continuous learning of spiking networks trained with local rules. - Chuang Yang, Mulin Chen, Yuan Yuan, Qi Wang, Xuelong Li:
Adaptive Shrink-Mask for Text Detection. - Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. - Yukyung Lee, Jina Kim, Pilsung Kang:
LAnoBERT : System Log Anomaly Detection based on BERT Masked Language Model. - Yunpeng Gong, Lifei Chen:
Robust Person Re-identification with Multi-Modal Joint Defence. - Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Younes Samih:
Automatic Expansion and Retargeting of Arabic Offensive Language Training. - Urja Khurana, Eric T. Nalisnick, Antske Fokkens:
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task. - Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
On Generalized Galois Cyclic Orbit Flag Codes. - Gözde Gül Sahin:
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP. - Ziqi Pang, Zhichao Li, Naiyan Wang:
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking. - Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao:
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration. - Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schäfer:
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. - Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le:
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. - Ronald A. Remmerswaal, Arthur E. P. Veldman:
Parabolic interface reconstruction for 2D volume of fluid methods. - Gessica Alecci, Simone Dutto, Nadir Murru:
Pell hyperbolas in DLP-based cryptosystems. - Hongjiang Jing, Zuchao Li, Hai Zhao, Shu Jiang:
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model. - Thibault Castells, Seul-Ki Yeom:
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy. - Raivo E. Koot, Markus Hennerbichler, Haiping Lu:
Evaluating Transformers for Lightweight Action Recognition. - Tassadaq Hussain, Mandar Gogate, Kia Dashtipour, Amir Hussain:
Towards Intelligibility-Oriented Audio-Visual Speech Enhancement. - Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim:
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. - Dror Kobo, Bat-El Pinchasik:
Backswimmer Inspired Miniature Robot with Buoyancy Auto-Regulation through Controlled Nucleation and Release of Microbubbles. - Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu:
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis. - Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang, Yu Li:
CLMB: deep contrastive learning for robust metagenomic binning. - Veronika Lesch, Marius Hadry, Samuel Kounev, Christian Krupitzer:
A Case Study on Optimization of Platooning Coordination. - Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao:
CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. - Chiara Boretti, Philippe Bich, Yanyu Zhang, John Baillieul:
Visual Navigation Using Sparse Optical Flow and Time-to-Transit. - Peter Frankl, Svyatoslav Gryaznov, Navid Talebanfard:
A Variant of the VC-dimension with Applications to Depth-3 Circuits. - Huansheng Ning, Hang Wang, Yujia Lin, Wenxi Wang, Sahraoui Dhelim, Fadi Farha, Jianguo Ding, Mahmoud Daneshmand:
A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges. - Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Reza Shokri:
Enhanced Membership Inference Attacks against Machine Learning Models. - Tessa J. Pannen, Steffen Puhlmann, Oliver Brock:
A Low-Cost, Easy-to-Manufacture, Flexible, Multi-Taxel Tactile Sensor and its Application to In-Hand Object Recognition. - Marc Goerigk, Stefan Lendl, Lasse Wulf:
On the Recoverable Traveling Salesman Problem. - Hang Zhou, Sarah Taylor, David Greenwood:
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation. - Manlio Migliorati:
Features selection in NBA outcome prediction through Deep Learning. - Pidong Wang, Feiliang Chen, Dong Li, Song Sun, Feng Huang, Taiping Zhang, Qian Li, Kun Chen, Yongbiao Wan, Xiao Leng, Yao Yao:
Authentication of optical physical unclonable functions based on single-pixel detection. - Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh:
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. - Mario Günzel, Kuan-Hsun Chen, Jian-Jia Chen:
EDF-Like Scheduling for Self-Suspending Real-Time Tasks. - Raphaèle Herbin, Jean-Claude Latché, Youssouf Nasseri, Nicolas Therme:
A Consistent Quasi-Second Order Staggered Scheme for the Two-Dimensional Shallow Water Equations. - Gustav Nilsson, Samuel Coogan:
The Strong Integral Input-to-State Stability Property in Dynamical Flow Networks. - Lodewijk Bergmans, Xander Schrijen, Edwin Ouwehand, Magiel Bruntink:
Measuring source code conciseness across programming languages using compression. - Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris, Beatrice Le Gales-Garnett, Gilles Kermarrec, André Thépaut:
A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors. - Tian Ye, Mingchao Jiang, Yunchen Zhang, Liang Chen, ErKang Chen, Pen Chen, Zhiyong Lu:
Perceiving and Modeling Density is All You Need for Image Dehazing. - Ron Mokady, Amir Hertz, Amit H. Bermano:
ClipCap: CLIP Prefix for Image Captioning. - Fabian Muff, Felix Härer, Hans-Georg Fill:
A Bibliometric Analysis of the BPM Conference Using Computational Data Analytics. - Xutian Deng, Ziwei Lei, Yi Wang, Miao Li:
Learning Ultrasound Scanning Skills from Human Demonstrations. - Ragavie Pirabaharan, Naimul Khan:
Interactive segmentation using U-Net with weight map and dynamic user interactions. - Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar, Christoph Hewel, Markus Endres:
Patent Sentiment Analysis to Highlight Patent Paragraphs. - Robiul Islam, Arup Kumar Pramanik:
Evolutionary Algorithm for Graph Coloring Problem. - João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin:
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. - Esteban Garzón, Roman Golman, Zuher Jahshan, Robert Hanhan, Natan Vinshtok-Melnik, Marco Lanuzza, Adam Teman, Leonid Yavits:
Hamming Distance Tolerant Content-Addressable Memory (HD-CAM) for Approximate Matching Applications. - John Gideon, Simon Stent:
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video. - Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke, Terry Ruas, Moritz Schubotz, Bela Gipp:
Detecting Cross-Language Plagiarism using Open Knowledge Graphs. - Parikshit Upadhyaya, Elias Jarlebring, Francesco Tudisco:
The self-consistent field iteration for p-spectral clustering. - Vladislav Dorofeev, Petro Trokhimchuk:
Hybrid Super Intelligence and Polymetric Analysis. - Sujoy Bhore, Guangping Li, Martin Nöllenburg, Ignaz Rutter, Hsiang-Yun Wu:
Untangling Circular Drawings: Algorithms and Complexity. - Adam Polevoy, Craig Knuth, Katie M. Popek, Kapil D. Katyal:
Complex Terrain Navigation via Model Error Prediction. - Liyang Chen, Zhiyong Wu, Jun Ling, Runnan Li, Xu Tan, Sheng Zhao:
Transformer-S2A: Robust and Efficient Speech-to-Animation. - Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders:
Wiggling Weights to Improve the Robustness of Classifiers. - Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. - Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu, Konstantin Zabarnyi:
Multi-Channel Bayesian Persuasion. - Aviad Rom, Kfir Bar:
Supporting Undotted Arabic with Pre-trained Language Models. - Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer:
Unsupervised Online Learning for Robotic Interestingness with Visual Memory. - Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Generalisation in Deep Reinforcement Learning. - Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. - Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong Liu, Tarek F. Abdelzaher, Lui Sha:
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. - Nicholas Kantack:
Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates. - Yiyou Sun, Yixuan Li:
On the Effectiveness of Sparsification for Detecting the Deep Unknowns. - Matias Valdenegro-Toro:
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings. - Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan, Dhivya Chinnappa, Durairaj Thenmozhi, Elizabeth Sherly, John P. McCrae, Adeep Hande, Rahul Ponnusamy, Shubhanker Banerjee, Charangan Vasantharajan:
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text. - Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. - Guillermo Federico Umbricht:
Identification of the Source for Full Parabolic Equations. - Andreas Nuyts:
Parametricity Features and their Requirements. - Arun Venkatesh Ramesh, Xingpeng Li:
Machine Learning Assisted Approach for Security-Constrained Unit Commitment. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau:
Analysis and Design of Distributed MIMO Networks with a Wireless Fronthaul. - Michael Matena, Colin Raffel:
Merging Models with Fisher-Weighted Averaging. - Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. - Jehanzeb H. Chaudhry, Donald J. Estep, Trevor Giannini, Zachary Stevens, Simon Tavener:
Error analysis of first time to a threshold value for partial differential equations. - Pawan Kalyan Jada, Konthala Yasaswini, Karthik Puranik, Anbukkarasi Sampath, Sathiyaraj Thangasamy, Kingston Pal Thamburaj:
Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text. - Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji:
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications. - Yi-Lin Sung, Varun Nair, Colin Raffel:
Training Neural Networks with Fixed Sparse Masks. - Yuliia Boiarinova, Yakov Kalinovskiy:
Method for representing an exponent in a fifth-dimensional hypercomplex number systems using a hypercomplex computing software. - Thong Vo, Naimul Khan:
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images. - Jie Luo, Aart C. Stuurman, Jakub M. Tomczak, Jacintha Ellers, Ágoston E. Eiben:
The Effects of Learning in Morphologically Evolving Robot Systems. - Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. - Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee:
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. - Hemanth Chandra Vamsi Kakumani, Nagabhushana Rao Vadlamani:
A high order differential equation based wall distance solver. - Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Data-driven synthesis of Robust Invariant Sets and Controllers. - Xiao Pan, Tony T. Y. Yang:
Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks. - Dimitrios Miltiadou, Stamatios Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis:
A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain. - Dimitrios Miltiadou, Stamatios Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis:
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry. - Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou:
One-Shot Generative Domain Adaptation. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. - Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. - Jerry Zhi-Yang He, Anca D. Dragan:
Assisted Robust Reward Design. - Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin:
Optimal Simple Regret in Bayesian Best Arm Identification. - Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: A Simple Framework for Masked Image Modeling. - Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. - Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, Aniruddha Kembhavi:
Simple but Effective: CLIP Embeddings for Embodied AI. - Corban G. Rivera, David A. Handelman:
Visual Goal-Directed Meta-Learning with Contextual Planning Networks. - Arash Dargahi Nobari, Davood Rafiei:
Efficiently Transforming Tables for Joinability. - Arif Hasnat, Davood Rafiei:
Interactive Set Discovery. - German Vargas, Margarita Berrio, Jaime Arcos-Legarda:
BLUE: A 3D Dynamic Bipedal Robot. - Riccardo Puppi:
A cut finite element method for the Darcy problem. - Pavel Podberezko, Vsevolod Mitskevich, Raman Makouski, Pavel Goncharov, Andrei Khobnia, Nikolay Bushkov, Marina Chernyshevich:
Quality and Cost Trade-offs in Passage Re-ranking Task. - Cody Scharzenberger, Joe Hays:
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks. - David Braun:
DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces. - Max Biggs, Ruijiang Gao, Wei Sun:
Loss Functions for Discrete Contextual Pricing with Observational Data. - Rodothea-Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry:
Constraint-based Diversification of JOP Gadgets. - Vishal Vakil, Shubh Pachchigar, Chintan Chavda, Sneh Soni:
Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes. - Srdan Milakovic, Oguz Selvitopi, Israt Nisa, Zoran Budimlic, Aydin Buluç:
Parallel Algorithms for Masked Sparse Matrix-Matrix Products. - Stavros Birmpilis, George Labahn, Arne Storjohann:
A fast algorithm for computing the Smith normal form with multipliers for a nonsingular integer matrix. - Wei-Sheng Lai, Yi-Chang Shih, Chia-Kai Liang, Ming-Hsuan Yang:
Correcting Face Distortion in Wide-Angle Videos. - Sylwester Klocek, Haiyu Dong, Matthew Dixon, Panashe Kanengoni, Najeeb Kazmi, Pete Luferenko, Zhongjian Lv, Shikhar Sharma, Jonathan A. Weyn, Siqi Xiang:
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather. - Kunal Rao, Murugan Sankaradass, Vivek Aswal, Srimat T. Chakradhar:
SmartSlice: Dynamic, self-optimization of applications QoS requests to 5G networks. - Roland Gao:
Rethink Dilated Convolution for Real-time Semantic Segmentation. - David R. Wells, Ben Vadala-Roth, Jae H. Lee, Boyce E. Griffith:
A Nodal Immersed Finite Element-Finite Difference Method. - Chen Peng:
Predictive Scheduling of Collaborative Mobile Robots for Improved Crop-transport Logistics of Manually Harvested Crops. - Byungjin Jun, Fabian E. Bustamante, Ben Greenstein, Ian Clelland:
Reining in Mobile Web Performance with Document and Permission Policies. - Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee:
A Review of Adversarial Attack and Defense for Classification Methods. - Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko:
Beyond NDCG: behavioral testing of recommender systems with RecList. - Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni:
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations. - (Withdrawn) Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning.
- Brennan Gebotys, Alexander Wong, David A. Clausi:
M2A: Motion Aware Attention for Accurate Video Action Recognition. - Jihyong Oh, Munchurl Kim:
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting. - Zhigang Ye, Chen Chen, Ruihuan Liu, Kai Wu, Zhaohong Bie:
Boost Distribution System Restoration with Emergency Communication Vehicles Considering Cyber-Physical Interdependence. - Forrest Huang, Eldon Schoop, David Ha, Jeffrey Nichols, John F. Canny:
Sketch-based Creativity Support Tools using Deep Learning. - Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar:
Esophageal virtual disease landscape using mechanics-informed machine learning. - Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. - Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe:
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. - Siyuan Shan, Lamtharn Hantrakul, Jitong Chen, Matt Avent, David Trevelyan:
Differentiable Wavetable Synthesis. - Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto:
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control. - Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda:
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. - Waleed A. Yousef, Issa Traoré, William Briguglio:
UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring. - Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katie Driggs Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. - Jaesin Ahn, Jiuk Hong, Jeongwoo Ju, Heechul Jung:
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. - Jianfeng Wang, Xiaowei Hu, Zhe Gan, Zhengyuan Yang, Xiyang Dai, Zicheng Liu, Yumao Lu, Lijuan Wang:
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning. - Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo:
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. - Victor Paduani, Bei Xu, David Lubkeman, Ning Lu:
Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations. - Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen:
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. - Yazheng Liu, Xi Zhang, Sihong Xie:
Explaining GNN over Evolving Graphs using Information Flow. - Simeng Zheng, Chih-Hui Ho, Paul H. Siegel:
Modeling Flash Memory Channels Using Conditional Generative Nets. - Talya Eden, Piotr Indyk, Haike Xu:
Embeddings and labeling schemes for A. - Robert I. McLachlan, Ari Stern:
Functional equivariance and conservation laws in numerical integration. - Xingguang Liu, Zhenbo Cheng, Zhengyuan Shen, Haoxin Zhang, Hangcheng Meng, Xuesong Xu, Gang Xiao:
Building a Question Answering System for the Manufacturing Domain. - Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang:
YMIR: A Rapid Data-centric Development Platform for Vision Applications. - Kunal Dutta, Arijit Ghosh, Shay Moran:
Uniform Brackets, Containers, and Combinatorial Macbeath Regions. - Muhammad Ahmed, Adnan Rashid:
Formalization of Transform Methods in Higher-order Logic: A Survey. - Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le:
Combined Scaling for Zero-shot Transfer Learning. - Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method. - Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge:
Medical Visual Question Answering: A Survey. - Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. - Alan Both, Dhirendra Singh, Afshin Jafari, Billie Giles-Corti, Lucy Gunn:
An Activity-Based Model of Transport Demand for Greater Melbourne. - Harsh Tataria, Mansoor Shafi, Dino Pjanic:
Sum Capacity Loss Quantification With Optimal and Sub-Optimal Precoding in Heterogeneous Multiuser Channels. - Shivam Garg, Nandini Venkatraman, Elizabeth Serena Bentley, Sunil Kumar:
An Asynchronous Multi-Beam MAC Protocol for Multi-Hop Wireless Networks. - Yanni Li, Wenhui Zhang, Jiawei Liu, Xiaoli Kou, Hui Li, Jiangtao Cui:
Enhanced countering adversarial attacks via input denoising and feature restoring. - Chiara Caiazza, Silvia Giordano, Valerio Luconi, Alessio Vecchio:
Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes. - Yanni Li, Bing Liu, Kaicheng Yao, Xiaoli Kou, Pengfan Lv, Yueshen Xu, Jiangtao Cui:
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification. - Chaitanya Patel, Shashank Sharma, Varun Gulshan:
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks. - Xinlai Luo, Zhiyong Chen, Bin Xia, Jiangzhou Wang:
Autoencoder-based Semantic Communication Systems with Relay Channels. - Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu:
Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. - Étienne Bamas, Marina Drygala, Andreas Maggiori:
An Improved Analysis of Greedy for Online Steiner Forest. - Tejas Y. Deo:
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure. - Huashan Chen, Richard B. Garcia-Lebron, Zheyuan Sun, Jin-Hee Cho, Shouhuai Xu:
Quantifying Cybersecurity Effectiveness of Software Diversity. - Michael Sober, Giulia Scaffino, Christof Spanring, Stefan Schulte:
A Voting-Based Blockchain Interoperability Oracle. - Rotem Liss, Tal Mor, Roman Shapira:
Non-NP-Hardness of Translationally-Invariant Spin-Model Problems. - Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. - Lutz Oettershagen, Petra Mutzel:
An Index for Single Source All Destinations Distance Queries in Temporal Graphs. - Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Lexicon-based Methods vs. BERT for Text Sentiment Analysis. - Elena V. Razova, Sergey V. Vychegzhanin, Evgeny V. Kotelnikov:
Does BERT look at sentiment lexicon? - Huijun Liu, Chunhua Yang, Ao Li, Yongxin Ge, Sheng Huang, Xin Feng, Zhimin Ruan:
Deep Domain Adaptation for Pavement Crack Detection. - Wei Zhuo, Chenyun Yu, Guang Tan:
Graph Neural Networks with Feature and Structure Aware Random Walk. - Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. - Laksh Bhatia, Po-Yu Chen, Michael Breza, Cong Zhao, Julie A. McCann:
IRONWAN: Increasing Reliability of Overlapping Networks in LoRaWAN. - Robert Hult, Mario Zanon, Sebastien Gros, Paolo Falcone:
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections. - Ingerid Fosli, Yuval Ishai, Victor I. Kolobov, Mary Wootters:
On the Download Rate of Homomorphic Secret Sharing. - Shiyu Li, Hao Ma, Xiangyu Hu:
Neural Image Beauty Predictor Based on Bradley-Terry Model. - Zhirui Wang, Yifei Wang, Yisen Wang:
Fooling Adversarial Training with Inducing Noise. - Iulia Dragomir, Marius Bozga, Iulian Ober, D. Silveira, Tiago Jorge, E. Alaña, Maxime Perrotin:
Formal verification of space systems designed with TASTE. - Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak:
Grounded Situation Recognition with Transformers. - Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels. - Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez:
More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. - Franziska Nestler, Martin Stoll, Theresa Wagner:
Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication. - Nico Blokker, André Blessing, Erenay Dayanik, Jonas Kuhn, Sebastian Padó, Gabriella Lapesa:
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports. - Konstantin Klemmer, Nathan Safir, Daniel B. Neill:
Positional Encoder Graph Neural Networks for Geographic Data. - Xu Yan, Zhengcong Fei, Shuhui Wang, Qingming Huang, Qi Tian:
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning. - Mohammed Alghazwi, Fatih Turkmen, K. Joeri van der Velde, Dimka Karastoyanova:
Blockchain for Genomics: A Systematic Literature Review. - Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. - Prabhat Pandey, Sergio Duarte Torres, Ali Orkan Bayer, Ankur Gandhe, Volker Leutnant:
Lattention: Lattice-attention in ASR rescoring. - Mikhail Krichanov, Vitaly Cheptsov:
UEFI virtual machine firmware hardening through snapshots and attack surface reduction. - Myrsini Christidou, Alexandra Vioni, Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos, Panos Kakoulidis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis:
Improved Prosodic Clustering for Multispeaker and Speaker-independent Phoneme-level Prosody Control. - Konstantinos Klapsas, Nikolaos Ellinas, June Sig Sung, Hyoungmin Park, Spyros Raptis:
Word-Level Style Control for Expressive, Non-attentive Speech Synthesis. - Alberto Schiabel, Vyacheslav Kungurtsev, Jakub Marecek:
Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice. - Alexandra Vioni, Myrsini Christidou, Nikolaos Ellinas, Georgios Vamvoukakis, Panos Kakoulidis, Taehoon Kim, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis:
Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis. - Hossein Nejatbakhsh Esfahani, Behdad Aminian, Esten Ingar Grøtli, Sebastien Gros:
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles. - Jelle J. Oostveen, Erik Jan van Leeuwen:
Streaming Deletion Problems Parameterized by Vertex Cover. - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. - Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling:
An Expectation-Maximization Perspective on Federated Learning. - Maximilian Zipfl, J. Marius Zöllner:
Towards Traffic Scene Description: The Semantic Scene Graph. - Jan Kopanski:
Optimisation of job scheduling for supercomputers with burst buffers. - Hélder Campos, Nuno Paulino:
Augmentation of base classifier performance via HMMs on a handwritten character data set. - Amin Haeri, Krzysztof Skonieczny:
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation. - Olga Martynova, Alexander Okhotin:
Homomorphisms on graph-walking automata. - Yin Tong:
Benchmarks of Extended Basis Reachability Graphs. - Shruthi K. A, Ihita G. V, Sachin Chaudhari:
A Survey on Rural Internet Connectivity in India. - Luojun Lin, Han Xie, Zhifeng Yang, Zhishu Sun, Wenxi Liu, Yuanlong Yu, Weijie Chen, Shicai Yang, Di Xie:
Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline. - Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Léo Laugier:
Toxicity Detection can be Sensitive to the Conversational Context. - Kaizhan Lin, Weize Wang, Lin Wang, Chang-An Zhao:
An Alternative Approach for Computing Discrete Logarithms in Compressed SIDH. - Judith Angel, Sebastian Götschel, Daniel Ruprecht:
Impact of spatial coarsening on Parareal convergence. - Bahman Rouhani, Mohammad Rahmati:
Xp-GAN: Unsupervised Multi-object Controllable Video Generation. - Marco Colussi, Stavros Ntalampiras:
Interpreting deep urban sound classification using Layer-wise Relevance Propagation. - Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks. - Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. - Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. - Dominik Schmidt, Thomas Schmied:
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari. - Omar Elharrouss, Somaya Al-Máadeed, Nandhini Subramanian, Najmath Ottakath, Noor Almaadeed, Yassine Himeur:
Panoptic Segmentation: A Review. - Richard Peng, Zhuoqing Song:
Sparsified Block Elimination for Directed Laplacians. - Mohammad Reza Heidarpour, Mohammad Hossein Manshaei:
Optimal Association Strategy of Multi-gateway Wireless Sensor Networks Against Smart Jammers. - Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. - Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez:
SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience. - Nobel Dhar, Gaurob Saha, Prithwiraj Bhattacharjee, Avi Mallick, Md Saiful Islam:
Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network. - Jasser Jasser, Ivan Garibay:
Resilience from Diversity: Population-based approach to harden models against adversarial attacks. - Tiago Dias, Nuno Oliveira, Norberto Sousa, Isabel Praça, Orlando Sousa:
A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System. - (Withdrawn) A new class of MDS symbol-pair codes.
- Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim:
The Joy of Neural Painting. - Bingqian Du, Zhiyi Huang, Chuan Wu:
Adversarial Deep Learning for Online Resource Allocation. - Naeem Turner-Bandele, Amritanshu Pandey, Larry T. Pileggi:
A Risk-Managed Steady-State Analysis to Assess The Impact of Power Grid Uncertainties. - Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu:
Meta Adversarial Perturbations. - Jiaxin Cao, Xiaoyan Li:
A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification. - Pierre-Alexandre Beaufort, Maxence Reberol, Heng Liu, Franck Ledoux, David Bommes:
Hex Me If You Can. - David Mohlin, Gérald Bianchi, Josephine Sullivan:
Probabilistic Regression with Huber Distributions. - Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Expert-Guided Symmetry Detection in Markov Decision Processes. - Stefano Righini, Luca Calderoni, Dario Maio:
A privacy-aware zero interaction smart mobility system. - Gaurangi Anand, Richi Nayak:
Unsupervised Visual Time-Series Representation Learning and Clustering. - A. Gupta, Bart De Schutter, Jacob W. van der Woude, Ton J. J. van den Boom:
Max-algebraic hybrid automata: Modelling and equivalences. - Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia:
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression. - Yu Yan, Yaël Balbastre, Mikael Brudfors, John Ashburner:
Factorisation-based Image Labelling. - Ali Salamati, Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Data-driven verification and synthesis of stochastic systems through barrier certificates. - Renrui Zhang, Ziyao Zeng, Ziyu Guo, Xinben Gao, Kexue Fu, Jianbo Shi:
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion. - Prashanth Pai, Andrej Jakovljevic, Zoran Budimlic, Costin Iancu:
Improving a High Productivity Data Analytics Chapel Framework. - Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo:
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions. - Lukas Lindenroth, Danail Stoyanov, Kawal S. Rhode, Hongbin Liu:
Towards intrinsic force sensing and control in parallel soft robots. - Guanglei Yang, Zhun Zhong, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci:
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation. - Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu:
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation. - Liwen Ouyang, Aaron Key:
Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift. - Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. - Daniel Russo, Paul H. P. Hanel, Niels van Berkel:
Understanding Developers Well-Being and Productivity: A Longitudinal Analysis of the COVID-19 Pandemic. - Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. - Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning. - Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu:
Generalized Decision Transformer for Offline Hindsight Information Matching. - Dang Qua Nguyen, Taejoon Kim:
Joint Delay and Phase Precoding Under True-Time Delay Constraint for THz Massive MIMO. - Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, Kyu Jeong Han:
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech. - Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Faster Sparse Minimum Cost Flow by Electrical Flow Localization. - Tohid Rahimi, Masoud Farhadi, Ka Hong Loo, Josep Pou:
Fuzzy Lifetime Analysis of a Fault-Tolerant Two-Phase Interleaved Converter. - Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi, Shyam Ratan, Siddharth Singh, Akash Bhagat, Yogesh Dawer:
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse. - Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann:
Data Excellence for AI: Why Should You Care. - Michael J. Mior:
Fast Discovery of Nested Dependencies on JSON Data. - Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann:
What Stops Learning-based 3D Registration from Working in the Real World? - Nestor Hernandez, Ruben Recabarren, Bogdan Carbunar, Syed Ishtiaque Ahmed:
RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage. - Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken:
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. - Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos:
Influence Dynamics Among Narratives: A Case Study of the Venezuelan Presidential Crisis. - Nitish Nag, Hyungik Oh, Mengfan Tang, Mingshu Shi, Ramesh C. Jain:
Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and Application. - Vu D. Tran, Tomoko Matsui:
Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan. - Scott Aaronson, DeVon Ingram, William Kretschmer:
The Acrobatics of BQP. - Ben Greenman, Lukas Lazarek, Christos Dimoulas, Matthias Felleisen:
A Transient Semantics for Typed Racket. - Kuang-Chen Lu, Ben Greenman, Shriram Krishnamurthi:
Types for Tables: A Language Design Benchmark. - Jeremy Gibbons:
Continuation-Passing Style, Defunctionalization, Accumulations, and Associativity. - Tim Nelson, Elijah Rivera, Sam Soucie, Thomas Del Vecchio, John Wrenn, Shriram Krishnamurthi:
Automated, Targeted Testing of Property-Based Testing Predicates. - Abdelkader Khouass, J. Christian Attiogbé, Mohamed Messabihi:
Modeling and Analysis of the Landing Gear System with the Generalized Contracts. - Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. - Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan:
Machine Learning for Mechanical Ventilation Control (Extended Abstract). - Lianna Hambardzumyan, Hamed Hatami, Pooya Hatami:
A counter-example to the probabilistic universal graph conjecture via randomized communication complexity. - Bin Han, Hans D. Schotten:
Multi-Sensory HMI to Enable Digital Twins with Human-in-Loop: A 6G Vision of Future Industry. - Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen:
Dynamic Graph Representation Learning via Graph Transformer Networks. - Tianyi Shi, Maximilian Ruth, Alex Townsend:
Parallel algorithms for computing the tensor-train decomposition. - Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy:
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. - Keith J. Lee, Renaud Danhaive, Caitlin T. Mueller:
Spherical harmonic shape descriptors of nodal force demands for quantifying spatial truss connection complexity. - Dongfang Zhao:
INCHE: High-Performance Encoding for Relational Databases through Incrementally Homomorphic Encryption. - Michael Huffman, Armen Davis, Joshua Park, James Curry:
Identifying Population Movements with Non-Negative Matrix Factorization from Wi-Fi User Counts in Smart and Connected Cities. - Parikshit Maini, Burak M. Gonultas, Volkan Isler:
Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints. - Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh, Andrés Perlroth:
Maximizing revenue in the presence of intermediaries. - Jinho Choi:
Sliding Network Coding for URLLC. - Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. - Yuheng Huang, Yuanchun Li:
Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers. - Abhijeet Sahu, Katherine R. Davis:
Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach. - Liling Zhang, Xinyu Lei, Yichun Shi, Hongyu Huang, Chao Chen:
Federated Learning with Domain Generalization. - Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski:
Imitation and Supervised Learning of Compliance for Robotic Assembly. - Qunfang Wu, Yisi Sang, Dakuo Wang, Zhicong Lu:
Malicious Selling Strategies in Livestream Shopping: A Case Study of Alibaba's Taobao and ByteDance's Douyin. - Jean-Sébastien Dessureault, Daniel Massicotte:
Feature selection or extraction decision process for clustering using PCA and FRSD. - Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. - Man Liang:
Innovative System Design for Remote Air Traffic Control Simulation Training on and beyond COVID19. - Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong:
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. - Robert M. Oliveira, Rodrigo C. de Lamare:
Study of Polar Codes Based on Piecewise Gaussian Approximation. - Han Pyo Lee, Mingzhi Zhang, Mesut E. Baran, Ning Lu, P. J. Rehm, Edmond Miller, Matthew Makdad:
A Novel Data Segmentation Method for Data-driven Phase Identification. - Swati Padhee, Kimberly Swygert, Ian Micir:
Exploring Language Patterns in a Medical Licensure Exam Item Bank. - Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen:
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation. - Behrooz Mansouri, Douglas W. Oard, Anurag Agarwal, Richard Zanibbi:
Effects of context, complexity, and clustering on evaluation for math formula retrieval. - Xinbo Zhao, Lizhao You, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning. - Lintang Sutawika, Jan Christian Blaise Cruz:
Data Processing Matters: SRPH-Konvergen AI's Machine Translation System for WMT'21. - Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Towards safe, explainable, and regulated autonomous driving. - I-Chao Shen, Li-Wen Su, Yu-Ting Wu, Bing-Yu Chen:
StylePart: Image-based Shape Part Manipulation. - Mingshuai Dong, Shimin Wei, Jianqin Yin, Xiuli Yu:
Real-World Semantic Grasping Detection. - Zhaoxin Fan, Zhengbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation. - Ziyang Liu, Jingmeng Liu, Weihai Chen, Xingming Wu, Zhengguo Li:
FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow. - Wenpeng Xing, Jie Chen:
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning. - Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. - Aviad Rubinstein, Saeed Seddighin, Zhao Song, Xiaorui Sun:
Approximation Algorithms for LCS and LIS with Truly Improved Running Times. - Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. - Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long:
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. - Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang:
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. - Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long:
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. - Yipeng Zhang, Bingliang Hu, Hailong Ning, Quang Wang:
Delving into Rectifiers in Style-Based Image Translation. - Yuna Jiang, Jiawen Kang, Dusit Niyato, Xiaohu Ge, Zehui Xiong, Chunyan Miao:
Reliable Coded Distributed Computing for Metaverse Services: Coalition Formation and Incentive Mechanism Design. - Shailendra Kumar Gupta, Shreyanshu Shekhar, Neeraj Goel, Mukesh Saini:
An End-to-End Framework for Dynamic Crime Profiling of Places. - Neel Kanth Kundu, Zan Li, Junhui Rao, Shanpu Shen, Matthew R. McKay, Ross D. Murch:
Optimal Grouping Strategy for Reconfigurable Intelligent Surface Assisted Wireless Communications. - Huan Qing:
Degree-Corrected Distribution-Free Model for Community Detection in weighted networks. - Kosta Dakic, Bassel Al Homssi, Margaret Lech, Akram Al-Hourani:
HybNet: A Hybrid Deep Learning - Matched Filter Approach for IoT Signal Detection. - Xipei Wang, Haoyu Zhang, Yuanbo Zhang, Meng Wang, Jiarui Song, Tin Lai, Matloob Khushi:
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions. - Shunya Yamashita, Kodai Irifune, Takeshi Hatanaka, Yasuaki Wasa, Kenji Hirata, Kenko Uchida:
Passivity-based Analysis and Design for Population Dynamics with Conformity Biases. - Mariana-Iuliana Georgescu, Georgian-Emilian Duta, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion. - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
A Deeper Look into DeepCap. - Aniq Ur Rahman, Mustafa A. Kishk, Mohamed-Slim Alouini:
Improving Spectral Efficiency of Wireless Networks through Democratic Spectrum Sharing. - Lokesh Bommisetty:
Control Analysis of Packet Transmission Algorithms: Study on Fairness and Stability. - Salwa Faour, Marc Fuchs, Fabian Kuhn:
Distributed CONGEST Approximation of Weighted Vertex Covers and Matchings. - Zhaoyang Hai, Xiabi Liu, Yuchen Ren, Nouman Qadeer Soomro:
Generating meta-learning tasks to evolve parametric loss for classification learning. - Hyunjae Kim, Mujeen Sung, Wonjin Yoon, Sungjoon Park, Jaewoo Kang:
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles. - Iacovos G. Kolokasis, Giannos Evdorou, Anastasios Papagiannis, Foivos S. Zakkak, Christos Kozanitis, Shoaib Akram, Polyvios Pratikakis, Angelos Bilas:
Freeing Compute Caches from Serialization and Garbage Collection in Managed Big Data Analytics. - Abhishek Srivastava, Sukalpa Chanda, Umapada Pal:
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination. - Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen:
Deep Spoken Keyword Spotting: An Overview. - Alexandros Efstratiou, Tristan Caulfield:
Misrepresenting Scientific Consensus on COVID-19: The Amplification of Dissenting Scientists on Twitter. - Zhicheng He:
Quality and Computation Time in Optimization Problems. - Pengxin Guo, Feiyang Ye, Yu Zhang:
Safe Multi-Task Learning. - Bin-Bin Zhang, Dongheng Zhang, Yadong Li, Yang Hu, Yan Chen:
Unsupervised Domain Adaptation for Device-free Gesture Recognition. - Baijiong Lin, Feiyang Ye, Yu Zhang:
A Closer Look at Loss Weighting in Multi-Task Learning. - Abhishek Srivastava, Sukalpa Chanda, Umapada Pal:
Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification. - Hu Fu, Pinyan Lu, Zhihao Gavin Tang, Abner Turkieltaub, Hongxun Wu, Jinzhao Wu, Qianfan Zhang:
Oblivious Online Contention Resolution Schemes. - Lukas Mennel, Aday J. Molina-Mendoza, Matthias Paur, Dmitry K. Polyushkin, Dohyun Kwak, Miriam Giparakis, Maximilian Beiser, Aaron Maxwell Andrews, Thomas Mueller:
A photosensor employing data-driven binning for ultrafast image recognition. - Mohamed Elwekeil, Alessio Zappone, Stefano Buzzi:
Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime. - Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Extracting Deformation-Aware Local Features by Learning to Deform. - Julia Gong, F. Christopher Holsinger, Serena Yeung:
FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation. - Jasdeep Singh Grover, Harsh Minesh Domadia, Raj Anant Tapase, Grishma Sharma:
SPINE: Soft Piecewise Interpretable Neural Equations. - Gavin Edwards, Sebastian Nilsson, Benedek Rozemberczki, Eliseo Papa:
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs. - Ján Pich, Rahul Santhanam:
Learning algorithms versus automatability of Frege systems. - Yang Hu, Zhui Zhu, Sirui Song, Xue Liu, Yang Yu:
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods. - Marta Kwiatkowska, Gethin Norman, David Parker:
Probabilistic Model Checking and Autonomy. - Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma:
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression. - Ali Abbasi, Mohammad Rahmati:
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior. - Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou:
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. - Pouria Mehrabi, Hamid D. Taghirad:
A Gaussian Process-Based Ground Segmentation for Sloped Terrains. - Samuele Cornell, Thomas Balestri, Thibaud Sénéchal:
Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection. - Giampaolo Bella, Pietro Biondi, Gianpiero Costantino, Ilaria Matteucci:
TOUCAN: A proTocol tO secUre Controller Area Network. - Franco Dassi, Alessio Fumagalli, Anna Scotti, Giuseppe Vacca:
Bend 3d Mixed Virtual Element Method for Elliptic Problems. - Giampaolo Bella, Pietro Biondi:
You Overtrust Your Printer. - Yoichi Yamazaki, Masayuki Ishii, Takahiro Ito, Takuya Hashimoto:
Frailty Care Robot for Elderly and Its Application for Physical and Psychological Support. - Rémi Abgrall, Ksenya Ivanova:
Staggered Residual Distribution scheme for compressible flow. - Ritukesh Bharali, Somdatta Goswami, Cosmin Anitescu, Timon Rabczuk:
A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation. - Xavier Morin-Duchesne, Michael S. Langer:
Simulated LiDAR Repositioning: a novel point cloud data augmentation method. - Ali Farouk Khalifa, Hesham N. Elmahdy, Eman Badr:
Real-time Human Detection Model for Edge Devices. - Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang:
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. - Pramit Biswas, Md Shahbaz Akhtar, Aneek Adhya, Sriparna Saha, Sudhan Majhi:
Q-Learning Based Energy-Efficient Network Planning in IP-over-EON. - Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? - Guillermo Bejarano, Sufiyan N.-Yo, Luis Orihuela:
Velocity and Disturbance Robust Non-linear Estimator for Autonomous Surface Vehicles with Reduced Sensing Capabilities. - Xingqin Lin, Mingzhe Chen, Henrik Rydén, Jaeseong Jeong, Heunchul Lee, Mårten Sundberg, Roy Timo, Hazhir Shokri-Razaghi, H. Vincent Poor:
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G. - Alireza Mohammadi, Mehdi Rahmati, Hafiz Malik:
Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach. - Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users. - Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters. - Shahar Dobzinski, Sigal Oren:
Mechanism Design with Moral Bidders. - Katerina Katsani-Geronymaki, Polyvios Pratikakis:
Detecting Influenza Epidemics on Twitter. - Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. - Apoorva Beedu, Zhile Ren, Varun Agrawal, Irfan Essa:
VideoPose: Estimating 6D object pose from videos. - Jinyung Hong, Theodore P. Pavlic:
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. - Benjamin Mako Hill, Aaron Shaw:
The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence From Peer Production. - Aniq Ur Rahman, Fares Fourati, Khac-Hoang Ngo, Anish Jindal, Mohamed-Slim Alouini:
Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity. - Aman Kumar, Swathi Dinakaran:
Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook. - Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. - Nate Veldt:
Faster Deterministic Approximation Algorithms for Correlation Clustering and Cluster Deletion. - Himangi Mittal, Brian Okorn, Arpit Jangid, David Held:
Self-Supervised Point Cloud Completion via Inpainting. - Francisco Castro, Hongyao Ma, Hamid Nazerzadeh, Chiwei Yan:
Randomized FIFO Mechanisms. - Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
A Domain-Independent Holistic Approach to Deception Detection. - Long Chen, Xuehai Huang:
Geometric decompositions of the simplicial lattice and smooth finite elements in arbitrary dimension. - Jiayi Zhang, Jing Zhang, Derrick Wing Kwan Ng, Shi Jin, Bo Ai:
Improving Sum-Rate of Cell-Free Massive MIMO with Expanded Compute-and-Forward. - James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-end Learning for Fair Ranking Systems. - Fulvio Bambusi, Francesco Cerizzi, Yamin Lee, Luca Mottola:
The Case for Approximate Intermittent Computing. - Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda:
Deep Probability Estimation. - Dong Zhou, Guanghui Sun, Xiaopeng Hong:
3D Visual Tracking Framework with Deep Learning for Asteroid Exploration. - Dhwanit Agarwal, Michael O'Neil, Manas Rachh:
FMM-accelerated solvers for the Laplace-Beltrami problem on complex surfaces in three dimensions. - Nicky Qiu:
COVID Induced Digital Inequality for Senior Citizens. - Vasile Florian Pais, Dan Tufis:
Capitalization and Punctuation Restoration: a Survey. - Zizhang Li, Mengmeng Wang, Jianbiao Mei, Yong Liu:
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation. - Vasile Florian Pais, Dan Tufis:
More Romanian word embeddings from the RETEROM project. - Mayank Raj, Pramod Kumbhar, Ratna Kumar Annabattula:
Physics-informed neural networks for solving thermo-mechanics problems of functionally graded material. - Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He:
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. - Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li:
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. - Varun Sivashankar, Nikil Selvam:
Local Linearity and Double Descent in Catastrophic Overfitting. - Keng Ji Chow, Samson Tan, Min-Yen Kan:
TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning. - Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai:
Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models. - Ignacia Fierro-Piccardo, Timo Betcke:
An OSRC Preconditioner for the EFIE. - Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Distributed Unsupervised Visual Representation Learning with Fused Features. - Nupur Choudhury, Kandarpa Kumar Sarma, Chinmoy Kalita, Aradhana Misra:
Design of an Novel Spectrum Sensing Scheme Based on Long Short-Term Memory and Experimental Validation. - Ihor V. Vasyltsov, Wooseok Chang:
Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism. - Xueyi Liu, Jie Tang:
Network representation learning: A macro and micro view. - Fardin Saad, Hasan Mahmud, Md. Alamin Shaheen, Md. Kamrul Hasan, Paresha Farastu:
Is Speech Emotion Recognition Language-Independent? Analysis of English and Bangla Languages using Language-Independent Vocal Features. - Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. - Wei Jiang, Hans Dieter Schotten:
The KICK-OFF of 6G Research Worldwide: An Overview. - Zhonghua Li, Biao Hou, Zitong Wu, Licheng Jiao, Bo Ren, Chen Yang:
FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection. - Leevan Ling, Francesco Marchetti:
A stochastic extended Rippa's algorithm for LpOCV. - Pongpak Manoret, Punnatorn Chotipurk, Sompoom Sunpaweravong, Chanati Jantrachotechatchawan, Kobchai Duangrattanalert:
Automatic Detection of Depression from Stratified Samples of Audio Data. - Dou Huang, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
Differentiable Projection for Constrained Deep Learning. - Bjorn Sihlbom, Marios I. Poulakis, Marco Di Renzo:
Reconfigurable Intelligent Surfaces: Performance Assessment Through a System-Level Simulator. - Weiwei Zhang, Shengjian Guo, Hongyu Zhang, Yulei Sui, Yinxing Xue, Yun Xu:
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations. - Yunsung Lee, Teakgyu Hong, Hancheol Cho, Junbum Cha, Seungryong Kim:
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning. - Kornvik Tanpipat, Takeshi Hatanaka, Masatoshi Hiroura:
Automatic Generation of Ice Hockey Defensive Motion via Coverage Control and Control Barrier Functions. - Haizhou Du, Zong Yan, Qiao Xiang, Qinqing Zhan:
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning. - Yu Yan, Hongzhi Wang, Jian Ma, Jian Geng, Yuzhuo Wang:
Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database. - François Baccelli, Bin Liu, Laurent Decreusefond, Rongfang Song:
A User Centric Blockage Model for Wireless Networks. - Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine. - Wei-Chang Yeh:
New Binary-Addition Tree Algorithm for the All-Multiterminal Binary-State Network Reliability Problem. - Grégoire Ferré:
Stochastic viscosity approximations of Hamilton-Jacobi equations and variance reduction. - Leszek Gasieniec, Paul G. Spirakis, Grzegorz Stachowiak:
New Clocks, Optimal Line Formation and Efficient Replication Population Protocols (Making Population Protocols Alive). - Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras:
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. - Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, Qing Zhu, Yu Liu, Tao Lin, Haifeng Li:
Learning by Active Forgetting for Neural Networks. - Marcel Menner, Karl Berntorp, Stefano Di Cairano:
Automated Controller Calibration by Kalman Filtering. - Saurav Biswas:
Development of Microcontroller Based Smart Grid Framework. - Linjie Chen, Na Zhao, Jie Li, Zhen Long, Ming Jing, Jian Wang:
WEM: A Node Importance Algorithm in Weighted Networks. - Kaiyuan Liu, Xingyu Li, Yi Zhou, Jisong Guan, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo:
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks. - Jangwon Park, Evangelos Vrettos:
A hybrid optimization approach for employee rostering: Use cases at Swissgrid and lessons learned. - Yandi Zhu, Xiaoling Lu, Jingya Hong, Feifei Wang:
Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora. - Davood Karimi, Simon K. Warfield, Ali Gholipour:
Calibrated Diffusion Tensor Estimation. - Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor:
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks. - Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Accretionary Learning with Deep Neural Networks. - Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar:
Bilevel learning of l1-regularizers with closed-form gradients(BLORC). - Dibakar Das:
Consequences of Optimality. - Rafaël Bocquet:
Strictification of weakly stable type-theoretic structures using generic contexts. - Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast:
The Impact of Main Content Extraction on Near-Duplicate Detection. - Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith:
CpT: Convolutional Point Transformer for 3D Point Cloud Processing. - Liliane-Joy Dandy, Emmanuel Jeandel, Vladimir Zamdzhiev:
Qimaera: Type-safe (Variational) Quantum Programming in Idris. - Abdollah Homaifar, Ali Karimoddini, Mike Heiges, Mubbashar Altaf Khan, Berat A. Erol, Shabnam Nazmi:
A Software Tool for Evaluating Unmanned Autonomous Systems. - Xiaodong Jia, Michael W. Mislove, Vladimir Zamdzhiev:
The Central Valuations Monad. - Claudio Canella, Andreas Kogler, Lukas Giner, Daniel Gruss, Michael Schwarz:
Domain Page-Table Isolation. - Benedikt Brütsch, Wolfgang Thomas:
Solving Infinite Games in the Baire Space. - Rishabh Garg, Ruohan Gao, Kristen Grauman:
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. - Gili Karni, Guy N. Rothblum, Gal Yona:
On Fairness and Stability in Two-Sided Matchings. - Adrian Haret:
Surprise Minimization Revision Operators. - Arshdeep Singh, Raju Arvind, Padmanabhan Rajan:
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection. - Daniel J. B. Harrold, Jun Cao, Zhong Fan:
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning. - Wenqi Cao, Giorgio Picci, Anders Lindquist:
Identification of Low Rank Vector Processes. - Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang:
Explainable Software Defect Prediction: Are We There Yet? - Farzam Ebrahimnejad, James R. Lee:
Multiscale entropic regularization for MTS on general metric spaces. - Deniz Agaoglu, Petr Hlinený:
Isomorphism Testing for T-graphs in FPT. - Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
Johnson Coverage Hypothesis: Inapproximability of k-means and k-median in L_p metrics. - Buddhika Jayawardana, Tomoki Ohsawa:
Semiexplicit Symplectic Integrators for Non-separable Hamiltonian Systems. - Tingfung Lau, Sailun Xu, Xinze Wang:
Video Content Swapping Using GAN. - Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu:
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. - Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi, Yunzong Xu:
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. - David Bayani:
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows. - Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation. - Jingxuan Zhu, Ethan Mulle, Christopher Salomon Smith, Ji Liu:
Decentralized Multi-Armed Bandit Can Outperform Classic Upper Confidence Bound. - Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang:
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. - Yinnian He, Weizhang Huang:
Mesh Sensitivity Analysis for Finite Element Solution of Linear Elliptic Partial Differential Equations. - Jung H. Lee, Henry J. Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas:
Adaptive Transfer Learning: a simple but effective transfer learning. - Rigel Galgana, Amy Greenwald, Takehiro Oyakawa:
A Dynamic Programming Algorithm to Compute Joint Distribution of Order Statistics on Graphs. - Zhengguo Li, Chaobing Zheng, Haiyan Shu, Shiqian Wu:
Model-Based Single Image Deep Dehazing. - Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun:
A General Framework for Lifelong Localization and Mapping in Changing Environment. - Nobuki Takayama, Takaharu Yaguchi, Yi Zhang:
Comparison of Numerical Solvers for Differential Equations for Holonomic Gradient Method in Statistics. - Nitish Dashora, Daniel Shin, Dhruv Shah, Henry A. Leopold, David D. Fan, Ali-Akbar Agha-Mohammadi, Nicholas Rhinehart, Sergey Levine:
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. - Jing Fan, Xin Zhang, Sheng Zhang:
Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning. - Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler:
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. - Masahiro Aita, Keito Sugawara, Sho Sakaino, Toshiaki Tsuji:
Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE. - Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura:
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling. - Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak:
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. - Kaustav Chatterjee, Sayan Samanta, Nilanjan Ray Chaudhuri:
Extending the Dissipating Energy Flow Method to Flexible AC Transmission Systems. - Jie Feng, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao:
MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images. - Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Knowledge Based Multilingual Language Model. - Nardine Basta, Muhammad Ikram, Mohamed Ali Kâafar, Andy Walker:
Towards a Zero-Trust Micro-segmentation Network Security Strategy: An Evaluation Framework. - Qingsong Yao, Zecheng He, S. Kevin Zhou:
Medical Aegis: Robust adversarial protectors for medical images. - Rebecca Castaño, Tiago Vaquero, Federico Rossi, Vandi Verma, Ellen Van Wyk, Dan Allard, Bennett Huffmann, Erin M. Murphy, Nihal Dhamani, Robert A. Hewitt, Scott Davidoff, Rashied B. Amini, Anthony Barrett, Julie C. Castillo-Rogez, Steve A. Chien, Mathieu Choukroun, Alain Dadaian, Raymond Francis, Benjamin Gorr, Mark Hofstadter, Mitch Ingham, Cristina Sorice, Iain Tierney:
Operations for Autonomous Spacecraft. - Aniket Shirke, Aziz Saifuddin, Achleshwar Luthra, Jiangong Li, Tawni Williams, Xiaodan Hu, Aneesh Kotnana, Okan Kocabalkanli, Narendra Ahuja, Angela Green-Miller, Isabella C. F. S. Condotta, Ryan N. Dilger, Matthew Caesar:
Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras. - Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko:
Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. - Liyao Gao, Guang Lin, Wei Zhu:
Deformation Robust Roto-Scale-Translation Equivariant CNNs. - Jessica Shi, Laxman Dhulipala, Julian Shun:
Theoretically and Practically Efficient Parallel Nucleus Decomposition. - Shihe Wang, Jianfeng Ren, Ruibin Bai:
A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes. - Deqing Fu, Bradley J. Nelson:
Topological Regularization for Dense Prediction. - YeongHyeon Park, JongHee Jung:
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection. - Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation. - Daizong Liu, Wei Hu:
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. - Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. - Urban Fasel, J. Nathan Kutz, Bingni W. Brunton, Steven L. Brunton:
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. - Yahya Javed, Mosab A. Khayat, Ali A. Elghariani, Arif Ghafoor:
PRISM: A Hierarchical Intrusion Detection Architecture for Large-Scale Cyber Networks. - Eita Sasaki, Manabu Ihara, Sergei Manzhos:
Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data. - Rohan Deb, Shalabh Bhatnagar:
Gradient Temporal Difference with Momentum: Stability and Convergence. - Waixiang Cao, Chunmei Wang, Junping Wang:
An Lp- Primal-Dual Weak Galerkin Method for Convection-Diffusion Equations. - Minzheng Li:
On the Equivalence of the Newton-Raphson Algorithm and PDE of Conservation of Electric Charge. - Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon:
Density Ratio Estimation via Infinitesimal Classification. - Tianlun Zheng, Zhineng Chen, Shancheng Fang, Hongtao Xie, Yu-Gang Jiang:
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition. - Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. - Hussam Habib, Maaz Bin Musa, Fareed Zaffar, Rishab Nithyanand:
Are Proactive Interventions for Reddit Communities Feasible? - Yiwen Shao, Shi-Xiong Zhang, Dong Yu:
Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature. - Amneet Pal Singh Bhalla:
On immersed boundary kernel functions: a constrained quadratic minimization perspective. - Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao:
Learning Explicit User Interest Boundary for Recommendation. - Boyu Zhang, Jiayuan Chen, Yinfei Xu, Hui Zhang, Xu Yang, Xin Geng:
Auto-Encoding Score Distribution Regression for Action Quality Assessment. - Pengsen Cheng, Jinqiao Dai, Jiayong Liu:
Reinforcement Learning for Few-Shot Text Generation Adaptation. - Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang:
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. - Rui Yin, Yineng Shen, Huawei Zhu, Xianfu Chen, Celimuge Wu:
Time-Critical Tasks Implementation in MEC based Multi-Robot Cooperation Systems. - Xinpeng Ding, Xiaomeng Li:
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos. - Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Face Presentation Attack Detection using Taskonomy Feature. - Rao Fu, Quan Quan, Mengxin Li, Kai-Yuan Cai:
Practical Distributed Control for Cooperative Multicopters in Structured Free Flight Concepts. - Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition. - Anshul Jindal, Ilya Shakhat, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment. - Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. - Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. - Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve:
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. - Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Huanfeng Shen, Chang Wen Chen:
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images. - Tai Tanaka, Kazuki Niino, Naoshi Nishimura:
Characteristic Basis Function Method Combined with Calderón Multiplicative Preconditioner for PMCHWT Formulation. - Yuhao Chi, Lei Liu, Guanghui Song, Ying Li, Yong Liang Guan, Chau Yuen:
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework. - Aza Zuhair, Hossein Hassani:
Comparing the Accuracy of Deep Neural Networks (DNN) and Convolutional Neural Network (CNN) in Music Genre Recognition (MGR): Experiments on Kurdish Music. - Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. - Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr:
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. - Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Semi-Supervised Vision Transformers. - Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Ashutosh Shankar:
Algorithmizing the Multiplicity Schwartz-Zippel Lemma. - Alex Viguerie, Silvia Bertoluzza, Alessandro Veneziani, Ferdinando Auricchio:
A theoretical and numerical analysis of a Dirichlet-Neumann domain decomposition method for diffusion problems in heterogeneous media. - Zhan Fei Yeo, Viet Ha Hoang:
Bayesian Inversion of Log-normal Eikonal Equations. - Haobo Yuan, Teng Chen, Wei Sui, Jiafeng Xie, Lefei Zhang, Yuan Li, Qian Zhang:
Monocular Road Planar Parallax Estimation. - Hung Guei, Lung-Pin Chen, I-Chen Wu:
Optimistic Temporal Difference Learning for 2048. - Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram:
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning. - Pradip Pramanick, Chayan Sarkar, Snehasis Banerjee, Brojeshwar Bhowmick:
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot. - Florian Fervers, Timo Breuer, Gregor Stachowiak, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens:
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes. - Sanghun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan Kim:
Hierarchy Decoder is All You Need To Text Classification. - Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes:
Branching Time Active Inference: the theory and its generality. - David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - Zezu Liang, Hanbiao Chen, Yuan Liu, Fangjiong Chen:
Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA? - Anton Matsson, Fredrik D. Johansson:
Case-based off-policy policy evaluation using prototype learning. - Stefan Ainetter, Christoph Böhm, Rohit Dhakate, Stephan Weiss, Friedrich Fraundorfer:
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks. - Andrea Sipka, Aniko Hannak, Aleksandra Urman:
Comparing the Language of QAnon-related content on Parler, Gab, and Twitter. - Zizheng Pan, Peng Chen, Haoyu He, Jing Liu, Jianfei Cai, Bohan Zhuang:
Mesa: A Memory-saving Training Framework for Transformers. - Pedro C. Neto, Ana Filipa Sequeira, Jaime S. Cardoso:
Myope Models - Are face presentation attack detection models short-sighted? - Jonathan D. Thomas, Raúl Santos-Rodríguez, Robert J. Piechocki, Mihai Anca:
Multi-lingual agents through multi-headed neural networks. - Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae:
L-Verse: Bidirectional Generation Between Image and Text. - Hanan Salam:
Distinguishing Engagement Facets: An Essential Component for AI-based Healthcare. - Yijun Cao, Xian-Shi Zhang, Fuya Luo, Peng Peng, Yongjie Li:
Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment. - Anubhav Dogra, Sakshay Mahna, Srikant Sekhar Padhee, Ekta Singla:
Unified Modeling of Unconventional Modular and Reconfigurable Manipulation System. - Allan van Hulst:
A Complete Axiom System for 1-Free Kleene Star Expressions under Bisimilarity: An Elementary Proof. - Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos:
On the Existence of Universal Lottery Tickets. - Yuwei Fan, Yixiao Guo, Ting Lin:
A Novel Randomized XR-Based Preconditioned CholeskyQR Algorithm. - Jonas Fischer, Rebekka Burkholz:
Plant 'n' Seek: Can You Find the Winning Ticket? - Martin Horák, Emma La Malfa Ribolla, Milan Jirásek:
Efficient formulation of a two-noded curved beam element under finite rotations. - Marios Kiatos, Iason Sarantopoulos, Sotiris Malassiotis, Zoe Doulgeri:
Bridging the gap between learning and heuristic based pushing policies. - Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott:
NTD: Non-Transferability Enabled Backdoor Detection. - Ziaur Rahman, Xun Yi, Ibrahim Khalil, Andrei Kelarev:
Blockchain for IoT: A Critical Analysis Concerning Performance and Scalability. - Somya Khosla:
Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains. - Ziaur Rahman, Xun Yi, Ibrahim Khalil, Mousumi Akter Sumi:
Chaos and Logistic Map based Key Generation Technique for AES-driven IoT Security. - Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, Xiaoniu Yang:
Graph-Based Similarity of Neural Network Representations. - Shotaro Shiba Funai:
Feature extraction of machine learning and phase transition point of Ising model. - My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian, Kyri Baker:
Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions. - Cristian-Alexandru Staicu, Sazzadur Rahaman, Ágnes Kiss, Michael Backes:
Bilingual Problems: Studying the Security Risks Incurred by Native Extensions in Scripting Languages. - Vasile Florian Pais, Radu Ion, Andrei-Marius Avram, Elena Irimia, Verginica Barbu Mititelu, Maria Mitrofan:
Human-Machine Interaction Speech Corpus from the ROBIN project. - Peter Grassberger:
On Generalized Schürmann Entropy Estimators. - Zhixiong Chen, Zhihua Niu, Yuqi Sang, Chenhuang Wu:
Arithmetic Autocorrelation of Binary m-Sequences. - Ke Ma, Zhaocheng Wang, Wenqiang Tian, Sheng Chen, Lajos Hanzo:
Deep Learning for Beam Management: Opportunities, State-of-the-Arts and Challenges. - Hyeon-Seong Im, Si-Hyeon Lee:
Anti-Jamming Games for Multi-User Multi-Band Networks. - Arman Ferdowsi, Jürgen Maier, Daniel Öhlinger, Ulrich Schmid:
A Simple Hybrid Model for Accurate Delay Modeling of a Multi-Input Gate. - Lizhe Liu, Mingqiang Chen, Xiaohao Chen, Siyu Zhu, Ping Tan:
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification. - Jaesung Choe, Chunghyun Park, François Rameau, Jaesik Park, In So Kweon:
PointMixer: MLP-Mixer for Point Cloud Understanding. - Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. - Babu Kumaran Nalini, Michel Zade, Zhengjie You, Peter Tzscheutschler, Ulrich Wagner:
Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System. - Lena Leitenmaier, Murtazo Nazarov:
A finite element based Heterogeneous Multiscale Method for the Landau-Lifshitz equation. - Dexian Tang, Guillem Francès, África Periáñez:
A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities. - Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou:
Client Selection in Federated Learning based on Gradients Importance. - Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Improved Learning Bounds for Branch-and-Cut. - Zixuan Ni, Siliang Tang, Yueting Zhuang:
Self-Supervised Class Incremental Learning. - Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy:
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. - Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski:
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. - Zhiqiang Cai, Ling Lin, Xiang Zhou:
Learn Quasi-stationary Distributions of Finite State Markov Chain. - Cheng Sun, Min Sun, Hwann-Tzong Chen:
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. - Agostino Dovier, Andrea Formisano, Gopal Gupta, Manuel V. Hermenegildo, Enrico Pontelli, Ricardo Rocha:
Parallel Logic Programming: A Sequel. - Michal Zawalski, Blazej Osinski, Henryk Michalewski, Piotr Milos:
Off-Policy Correction For Multi-Agent Reinforcement Learning. - Andrew Adamatzky, Phil Ayres, Alexander E. Beasley, Alessandro Chiolerio, Mohammad Mahdi Dehshibi, Antoni Gandia, Elena Albergati, Richard Mayne, Anna Nikolaidou, Nic Roberts, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Neil Phillips, Han A. B. Wösten:
Fungal electronics. - Yanwei Jia, Xun Yu Zhou:
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms. - Xinyu Zhou:
Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing. - Azer Babaev, Ilya Osokin, Ilya Ryakin, Egor Davydenko, Vladimir Litvinenko, Ivan Khokhlov, Aleksandr Matsun, Vitaly Suvorov:
RoboKit-MV: an Educational Initiative. - Umair Shahzad:
Prediction of Probabilistic Transient Stability Using Support Vector Machine. - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. - Han Chen, Yifan Jiang, Hanseok Ko:
Action Recognition with Domain Invariant Features of Skeleton Image. - Kamil Oster, Stefan Güttel, Lu Chen, Jonathan L. Shapiro, Megan Jobson:
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit. - Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics. - Emmanuel Asiedu Brempong, Millicent Agangiba, Daniel Aikins:
MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals. - Alessia Cioffi, Sara Coppini, Arcangelo Massari, Arianna Moretti, Silvio Peroni, Cristian Santini, Nooshin Shahidzadeh Asadi:
Identifying and correcting invalid citations due to DOI errors in Crossref data. - Tatsuro Kawamoto, Teruyoshi Kobayashi:
Sequential locality of graphs and its hypothesis testing. - Prasannakumaran Dhanasekaran, Harish Srinivasan, Sowmiya Sree S, Sri Gayathri Devi I, Saikrishnan Sankar, Vineeth Vijayaraghavan:
SOMPS-Net : Attention based social graph framework for early detection of fake health news. - Théophile Champion, Howard Bowman, Marek Grzes:
Branching Time Active Inference: empirical study and complexity class analysis. - Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus:
BarrierNet: A Safety-Guaranteed Layer for Neural Networks. - Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiri Matas:
Point Cloud Color Constancy. - Chen Feng, Georgios Tzimiropoulos, Ioannis Patras:
S3: Supervised Self-supervised Learning under Label Noise. - Dingyang Ding, Di Wu, Yong Zeng, Shi Jin, Rui Zhang:
Environment-Aware Beam Selection for IRS-Aided Communication with Channel Knowledge Map. - Zahra Zamanzadeh Darban, Mohammad Hadi Valipour:
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation. - Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Su Young Kim, Max Nihlén Ramström:
Scaling Law for Recommendation Models: Towards General-purpose User Representations. - Yongmin Yoo, Dongjin Lim, Kyungsun Kim:
Artificial Intelligence Technology analysis using Artificial Intelligence patent through Deep Learning model and vector space model. - Jun Zhu, Gautier Viaud, Céline Hudelot:
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. - Hussein Mozannar, Arvind Satyanarayan, David A. Sontag:
Teaching Humans When To Defer to a Classifier via Examplars. - Minh Anh Nguyen, Hai Long Luong, Minh Hoàng Hà, Ha-Bang Ban:
An efficient branch-and-cut algorithm for the parallel drone scheduling traveling salesman problem. - Jun-Kun Wang, Jacob D. Abernethy, Kfir Y. Levy:
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization. - Corné de Ruijt, Sandjai Bhulai:
The Generalized Cascade Click Model: A Unified Framework for Estimating Click Models. - Mohammad Ali Sayed, Ribal Atallah, Chadi Assi, Mourad Debbabi:
Electric Vehicle Attack Impact on Power Grid Operation. - Morteza Rezanejad, Sidharth Gupta, Chandra Gummaluru, Ryan Marten, John Wilder, Michael Gruninger, Dirk B. Walther:
Contour-guided Image Completion with Perceptual Grouping. - Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord:
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. - Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur:
Cycle Consistent Probability Divergences Across Different Spaces. - Cameron Browne, Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers:
General Board Geometry. - Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. - Lachlan McPheat, Hadi Wazni, Mehrnoosh Sadrzadeh:
Vector Space Semantics for Lambek Calculus with Soft Subexponentials. - Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. - Lei Lin, Weizi Li, Lei Zhu:
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network. - Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh:
ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. - Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph:
Modeling Irregular Time Series with Continuous Recurrent Units. - Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, François Goulette:
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping. - Jad Dabaghi, Virginie Ehrlacher, Christoph Strössner:
Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system. - Yunfei Ge, Changyu Diao, Min Li, Ruohan Yu, Linshan Qiu, Duanqing Xu:
ShufaNet: Classification method for calligraphers who have reached the professional level. - Liqiang Zhao, Guorong Zhou, Gan Zheng, Chih-Lin I, Xiaohu You, Lajos Hanzo:
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges. - Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang:
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints. - Jing Yang Lee, Kong Aik Lee, Woon-Seng Gan:
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation. - Hichem Sahbi, Haoming Zhan:
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning. - Eli Brock, Lauren Bruckstein, Patrick M. Connor, Sabrina Nguyen, Robert Kerestes, Mai Abdelhakim:
An application of reinforcement learning to residential energy storage under real-time pricing. - Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr:
Adversarial Examples on Segmentation Models Can be Easy to Transfer. - Luca Barletta, Alex Dytso:
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution. - Oleg V. Vasilyev, Aysu Altun, Nidhi Vyas, Vedant Dharnidharka, Erika Lam, John Bohannon:
Namesakes: Ambiguously Named Entities from Wikipedia and News. - Aniket Pramanik, Mathews Jacob:
Improved Model based Deep Learning using Monotone Operator Learning (MOL). - Aiman Munir, Ramviyas Parasuraman:
Analysis of Exploration vs. Exploitation in Adaptive Information Sampling. - Jason Jooste, Michael Fromm, Matthias Schubert:
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. - Tanmaya Mishra, Thidapat Chantem, Ryan M. Gerdes:
Survey of Control-Flow Integrity Techniques for Embedded and Real-Time Embedded Systems. - Hasan Nasrallah, Abed Ellatif Samhat, Ghaleb Faour, Yilei Shi, Ali J. Ghandour:
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images. - Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. - Suneel Belkhale, Ethan K. Gordon, Yuxiao Chen, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Dorsa Sadigh:
Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer. - (Withdrawn) Anomaly-resistant Graph Neural Networks via Neural Architecture Search.
- Andreas Dedner, Alice Hodson:
A higher order nonconforming virtual element method for the Cahn-Hilliard equation. - Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho:
Turbo Autoencoder with a Trainable Interleaver. - Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. - Umair Shahzad:
Impact of Synchronous Condensers on Power System Static Voltage Stability Considering Line Contingencies in the Presence of Renewable Generation. - Sean Malahy, Mimi Sun, Keith Spangler, Jessica Leibler, Kevin Lane, Shailesh Bavadekar, Chaitanya Kamath, Akim Kumok, Yuantong Sun, Jai Gupta, Tague Griffith, Adam Boulanger, Mark Young, Charlotte Stanton, Yael Mayer, Karen Smith, Tomer Shekel, Katherine Chou, Greg Corrado, Jonathan Levy, Adam Szpiro, Evgeniy Gabrilovich, Gregory A. Wellenius:
Vaccine Search Patterns Provide Insights into Vaccination Intent. - Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar:
Neural Fields in Visual Computing and Beyond. - Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick:
Benchmarking Detection Transfer Learning with Vision Transformers. - Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Multi-modal Transformers Excel at Class-agnostic Object Detection. - Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson:
RedCaps: web-curated image-text data created by the people, for the people. - Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang:
Florence: A New Foundation Model for Computer Vision. - Kenneth Li, Xiao Sun, Zhirong Wu, Fangyun Wei, Stephen Lin:
Towards Tokenized Human Dynamics Representation. - Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin:
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. - Lucas L. S. Sachetti, Enzo B. Cussuol, José Marcos S. Nogueira, Vinícius F. S. Mota:
pmSensing: A Participatory Sensing Network for Predictive Monitoring of Particulate Matter. - Luca Barletta, Alex Dytso:
Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution. - Bala Kalyanasundaram, Calvin Newport:
On the Local Communication Complexity of Counting and Modular Arithmetic. - Thiago A. Rodrigues, Jay Patrikar, Natalia L. Oliveira, H. Scott Matthews, Sebastian A. Scherer, Constantine Samaras:
Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery. - Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. - Ann Yi Wong, Eyasu Getahun Chekole, Martín Ochoa, Jianying Zhou:
Threat Modeling and Security Analysis of Containers: A Survey. - Quazi Adibur Rahman Adib, Sidratul Tanzila Tasmi, Md. Shahriar Islam Bhuiyan, Md. Mohsin Sarker Raihan, Abdullah Bin Shams:
Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19. - Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Canonical mean-field molecular dynamics derived from quantum mechanics. - Nelson Diaz, Omar Gallo, Jhon Caceres, Hernan Porras:
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS). - Siddhant Doshi, Sundeep Prabhakar Chepuri:
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification. - Prithviraj Dasgupta, Zachariah Osman:
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries. - Florian Richter, Ryan K. Orosco, Michael C. Yip:
Image Based Reconstruction of Liquids from 2D Surface Detections. - Mahwish Mudassar, Arash Kalatian, Bilal Farooq:
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality. - Alireza Rowhanimanesh, Mohammad-R. Akbarzadeh-T.:
Robust Control of Nanoscale Drug Delivery System in Atherosclerosis: A Mathematical Approach. - Alireza Rowhanimanesh, Mohammad-R. Akbarzadeh-T.:
Universal Swarm Computing by Nanorobots. - Harbir Antil, Rainald Löhner, Randy Price:
Data Assimilation with Deep Neural Nets Informed by Nudging. - Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities. - Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato:
Bootstrap Your Flow. - Antonia Marcu, Adam Prügel-Bennett:
On Data-centric Myths. - Wail Y. Alkowaileet, Michael J. Carey:
Columnar Formats for Schemaless LSM-based Document Stores. - Sia Gholami, Mehdi Noori:
Zero-Shot Open-Book Question Answering. - Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. - Erin Y. Chang, Raghid Mardini, Andrew I. W. McPherson, Yuri Gloumakov, Hannah S. Stuart:
Tenodesis Grasp Emulator: Kinematic Assessment of Wrist-Driven Orthotic Control. - Geoffrey van Driessel, Vincent François-Lavet:
Component Transfer Learning for Deep RL Based on Abstract Representations. - Neeldhara Misra, Debanuj Nayak:
On Fair Division with Binary Valuations Respecting Social Networks. - Matthias Lanzinger:
Forbidden Substructures for Tractable Conjunctive Query Answering with Degree 2. - Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. - Kanav Vats, William J. McNally, Pascale Walters, David A. Clausi, John S. Zelek:
Ice hockey player identification via transformers. - Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. - Daniel McDuff:
Camera Measurement of Physiological Vital Signs. - Dheeraj Baby, Hilaf Hasson, Yuyang Wang:
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. - Ibrahim Umit Akgun, Ali Selman Aydin, Aadil Shaikh, Lukas Velikov, Andrew Burford, Michael McNeill, Michael Arkhangelskiy, Erez Zadok:
KML: Using Machine Learning to Improve Storage Systems. - Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik:
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. - Anagh Malik:
Strategies for the Iterated Prisoner's Dilemma. - Olivier Tardieu, David Grove, Gheorghe-Teodor Bercea, Paul Castro, Jaroslaw Cwiklik, Edward A. Epstein:
Reliable Actors with Retry Orchestration. - Seyed Mohammad Hassan Erfani, Zhenyao Wu, Xinyi Wu, Song Wang, Erfan Goharian:
ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images. - Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Shuyang Gao, Tagyoung Chung:
Building Goal-Oriented Dialogue Systems with Situated Visual Context. - Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Generative Adversarial Networks for Astronomical Images Generation. - Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Vitaliy Batusov, Mikhail Soutchanski:
A Logical Semantics for PDDL+. - Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang:
Efficient Video Transformers with Spatial-Temporal Token Selection. - Reza Bayani, Arash Farokhi Soofi, Saeed D. Manshadi:
Strategic Competition of Electric Vehicle Charging Stations in a Regulated Retail Electricity Market. - Jong-Chyi Su, Subhransu Maji:
Semi-Supervised Learning with Taxonomic Labels. - Piao Zeng, Deli Qiao, Qingqing Wu, Yuan Wu:
Active IRS Aided WPCNs: A New Paradigm Towards Higher Efficiency and Wider Coverage. - Hoang Nguyen Viet, Linh Nguyen Viet, Tuan Nguyen Dinh, Duc Tran Minh, Long Tran Quoc:
Simultaneous face detection and 360 degree headpose estimation. - Jörn Guy Süß, Samantha Swift, Eban Escott:
Using DevOps Toolchains in Agile Model-Driven Engineering. - Ghafour Ahani, Di Yuan:
Optimal Content Caching and Recommendation with Age of Information. - Phillip Garrad, Shane Gilroy:
Developments in Connected Vehicles and the Requirement for Increased Cybersecurity. - Faris Azhari, Charlotte C. Sennersten, Michael Milford, Thierry Peynot:
PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network. - Venkata Bhanu Teja Pallakonda:
Using mixup as regularization and tuning hyper-parameters for ResNets. - Frédérique E. Oggier, Silivanxay Phetsouvanh, Anwitaman Datta:
A Modular Framework for Centrality and Clustering in Complex Networks. - Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. - Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham:
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation. - Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, Qi Tian:
Self-Regulated Learning for Egocentric Video Activity Anticipation. - Anji Liu, Stephan Mandt, Guy Van den Broeck:
Lossless Compression with Probabilistic Circuits. - Minz Won, Janne Spijkervet, Keunwoo Choi:
Music Classification: Beyond Supervised Learning, Towards Real-world Applications. - Ru-Han Chen, Longguang Li, Jian Zhang, Wenyi Zhang, Jing Zhou:
On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints. - Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf:
Network In Graph Neural Network. - Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses:
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning. - Junmo Cho, Dong-Hwan Lee, Young-Gyu Yoon:
Inducing Functions through Reinforcement Learning without Task Specification. - Milad Tatar Mamaghani, Yi Hong:
Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things. - Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Weigang Zhang, Qingming Huang:
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis. - Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa:
Multi-task manifold learning for small sample size datasets. - Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin:
Few-Shot Object Detection via Association and DIscrimination. - Derek Long, Cameron McMurdo, Edward Ferdian, Charlène Alice Mauger:
Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning. - Sachin Kadam, Anna Scaglione, Nikhil Ravi, Sean Peisert, Brent Lunghino, Aram Shumavon:
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets. - Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak:
Smoothing the Generative Latent Space with Mixup-based Distance Learning. - Heidi Lu:
Integrating Imitation Learning with Human Driving Data into Reinforcement Learning to Improve Training Efficiency for Autonomous Driving. - David I. Ketcheson, Hendrik Ranocha:
Computing with B-series. - Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li:
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. - Shaobo Guo, Xiao Jiang, Zhizhong Su, Rui Wu, Xin Wang:
HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation. - Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy:
Status-quo policy gradient in Multi-Agent Reinforcement Learning. - Xujing Li, Lingxiao Li:
A Conservative Finite Element Solver for MHD Kinematics equations: Vector Potential method and Constraint Preconditioning. - Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Deep learning-based fast solver of the shallow water equations. - Taketo Akama:
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence. - Jaesung Choe, Byeongin Joung, François Rameau, Jaesik Park, In So Kweon:
Deep Point Cloud Reconstruction. - Aleksandr Tynda, Samad Noeiaghdam, Denis N. Sidorov:
Polynomial spline collocation method for solving weakly regular Volterra integral equations of the first kind. - Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Junbo Zhao:
Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network. - Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli, Benedetto Michelozzi:
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle. - Sebastian Meznar, Matej Bevec, Nada Lavrac, Blaz Skrlj:
Link Analysis meets Ontologies: Are Embeddings the Answer? - Lihua Zhang:
Sample Efficient Imitation Learning via Reward Function Trained in Advance. - S. Kate Devitt, P. W. J. Baxter, G. Hamilton:
The Ethics of Biosurveillance. - Martin Serror, Sacha Hack, Martin Henze, Marko Schuba, Klaus Wehrle:
Challenges and Opportunities in Securing the Industrial Internet of Things. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Robust Time-Varying Parameters Estimation Based on I-DREM Procedure. - Lei Li, Kai Fan, Chun Yuan:
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks. - Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. - Xingkai Zheng, Xirui Li, Ke Xu, Xinghao Jiang, Tanfeng Sun:
Gait Identification under Surveillance Environment based on Human Skeleton. - Zinaid Kapic, Aladin Crnkic, Vladimir Jacimovic, Nevena Mijajlovic:
A new dynamical model for solving rotation averaging problem. - Tomás Medrický, Martin Doskár, Ivana Pultarová, Jan Zeman:
Comparison of FETI-based domain decomposition methods for topology optimization problems. - Hitesh Tewari:
A Lightweight Encryption Scheme for IoT Devices in the Fog. - Giampaolo Bella, Pietro Biondi:
Towards an Integrated Penetration Testing Environment for the CAN Protocol. - Nisha Varghese, Mahesh Mohan M. R., A. N. Rajagopalan:
IR Motion Deblurring. - James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
Tensor Component Analysis for Interpreting the Latent Space of GANs. - Mickaël Zehren, Marco Alunno, Paolo Bientinesi:
ADTOF: A large dataset of non-synthetic music for automatic drum transcription. - Haowen Lai, Peng Yin, Sebastian A. Scherer:
AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place Recognition. - Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou:
One or two frequencies? The Iterative Filtering answers. - Asuman E. Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang:
Independent Learning in Stochastic Games. - Kaining Zhou, Yangshuo He, Rui Xiao, Jiayi Liu, Kejie Huang:
A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow. - Xintian Mao, Yiming Liu, Wei Shen, Qingli Li, Yan Wang:
Deep Residual Fourier Transformation for Single Image Deblurring. - Zhiqiang Liu, Yanxia Liu, Chengkai Huang:
Semi-Online Knowledge Distillation. - Junlei Zhang, Zhenzhong Lan:
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding. - Heeseung Kim, Sungwon Kim, Sungroh Yoon:
Guided-TTS: Text-to-Speech with Untranscribed Speech. - Pedro P. Santos, Francisco S. Melo, Alberto Sardinha, Diogo S. Carvalho:
Understanding the Impact of Data Distribution on Q-learning with Function Approximation. - Sumit Chaturvedi, Michal Lukác, Siddhartha Chaudhuri:
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives. - Stefano Maestri, Emanuela Merelli:
Automaton of molecular perceptions in biochemical reactions. - Maria R. Cervera, Rafael Dätwyler, Francesco D'Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning:
Uncertainty estimation under model misspecification in neural network regression. - Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland. - Rohan Deb, Meet Gandhi, Shalabh Bhatnagar:
Schedule Based Temporal Difference Algorithms. - Gabriel García, Adrián Colomer, Rafael Verdú Monedero, José Dolz, Valery Naranjo:
A self-training framework for glaucoma grading in OCT B-scans. - Jordi Pons, Joan Serrà, Santiago Pascual, Giulio Cengarle, Daniel Arteaga, Davide Scaini:
Upsampling layers for music source separation. - Gabriella Pasi, Rafael Peñaloza:
Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies. - Xiaoshui Huang, Zongyi Xu, Guofeng Mei, Sheng Li, Jian Zhang, Yifan Zuo, Yucheng Wang:
GenReg: Deep Generative Method for Fast Point Cloud Registration. - Alexandre Dey, Benjamin Coste, Eric Totel, Adrien Bécue:
Realistic simulation of users for IT systems in cyber ranges. - Santiago Badia, Jerrad Hampton, Javier Principe:
A Massively Parallel Implementation of Multilevel Monte Carlo for Finite Element Models. - Sideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan:
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices. - Gabriele Fambri, Cesar Diaz-Londono, Andrea Mazza, Marco Badami, Teemu Sihvonen, Robert Weiss:
Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration. - Javier Hernandez-Ortega, Julian Fiérrez, Aythami Morales, Javier Galbally:
Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances. - Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. - Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-attentions into Convolutional Layers in Single Path. - Stefano Dalla Palma, Dario Di Nucci, Damian A. Tamburri:
RepoMiner: a Language-agnostic Python Framework to Mine Software Repositories for Defect Prediction. - Mohamad H. Dinan, Nemanja Stefan Perovic, Mark F. Flanagan:
RIS-Assisted Receive Quadrature Space-Shift Keying: A New Paradigm and Performance Analysis. - Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand:
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages. - Emanuele De Angelis, Fabio Fioravanti, Alberto Pettorossi, Maurizio Proietti:
Satisfiability of Constrained Horn Clauses on Algebraic Data Types: A Transformation-based Approach. - Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan:
Exploring Non-Contrastive Representation Learning for Deep Clustering. - Xinyu Tian, Jing Zhang, Yuchao Dai:
A General Divergence Modeling Strategy for Salient Object Detection. - Lionel Tondji, Sergii Kashubin, Moustapha Cissé:
Variance Reduction in Deep Learning: More Momentum is All You Need. - Pål Grønås Drange, Irene Muzi, Felix Reidl:
Kernelization and hardness of harmless sets in sparse classes. - Daniel J. Blueman, Foivos S. Zakkak, Christos Kotselidis:
NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems. - Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan:
Focal and Global Knowledge Distillation for Detectors. - M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor:
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. - Anastasios Foliadis, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Reiner S. Thomä:
Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations. - Joshua Mitton, Roderick Murray-Smith:
Local Permutation Equivariance For Graph Neural Networks. - Lintao Peng, Chunli Zhu, Liheng Bian:
U-shape Transformer for Underwater Image Enhancement. - Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Sören Auer:
Triple Classification for Scholarly Knowledge Graph Completion. - George A. Pappy, Melissa D. Aczon, Randall C. Wetzel, David R. Ledbetter:
Predicting High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis. - Lucas L. S. Sachetti, Vinícius F. S. Mota:
Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping. - Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, Juan Li:
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective. - David Agudelo Tapias, Simon Marin Giraldo, Mauricio Toro Bermudez:
Compresion y analisis de imagenes por medio de algoritmos para la ganaderia de precision. - Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim:
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks. - Jordi Laguarta Soler, Brian Subirana:
Longitudinal Speech Biomarkers for Automated Alzheimer's Detection. - Sandra Vaz, Delfim F. M. Torres:
A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugal. - Zhe Shen:
Flight Control System Design for Autonomous Aerial Surveys of Volcanoes. - Chaudhary Muhammad Aqdus Ilyas, Siyang Song, Hatice Gunes:
Inferring User Facial Affect in Work-like Settings. - Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti:
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. - Saumya Goyal, Om P. Damani, Ashutosh Mahajan:
Cost Optimization of Water Distribution Networks: Model Refinement Is Better Than Problem-Specific Solving Techniques. - Markjoe Olunna Uba, Karol Mikula, Seol Ah Park:
4D Segmentation Algorithm with application to 3D+time Image Segmentation. - Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci:
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. - Kongyang Chen, Yao Huang, Yiwen Wang:
Machine unlearning via GAN. - Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang:
DBIA: Data-free Backdoor Injection Attack against Transformer Networks. - Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar:
Solve Optimization Problems with Unknown Constraint Networks. - Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo:
Real-time intelligent big data processing: technology, platform, and applications. - Carlos A. Rivera Alvarez, Arash Shaghaghi, David D. Nguyen, Salil S. Kanhere:
Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines. - Kamalanathan Ganesan, João Tomé Saraiva, Ricardo J. Bessa:
Functional Model of Residential Consumption Elasticity under Dynamic Tariffs. - Joachim Nyborg, Ira Assent:
Weakly-Supervised Cloud Detection with Fixed-Point GANs. - Norbert Pengel, Anne Martin, Roy Meissner, Tamar Arndt, Alexander Tobias Neumann, Peter de Lange, Heinz-Werner Wollersheim:
TecCoBot: Technology-aided support for self-regulated learning. - Nishttha Sharma, Jayasree Sengupta, Sipra Das Bit:
SACRIFICE: A Secure Road Condition Monitoring Scheme over Fog-based VANETs. - Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. - Akhil Ahmed, Marta A. Zagorowska, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station. - Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. - Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. - Uche A. Nnolim:
Results of improved fractional/integer order PDE-based binarization model. - Andrea Cristofaro, Alessandro De Luca:
Reduced-order observer design for a robotic manipulator. - Canze Zhu, Qunying Liao:
Self-dual twisted generalized Reed-Solomon codes. - Jialu Zhang, Todd Mytkowicz, Mike Kaufman, Ruzica Piskac, Shuvendu K. Lahiri:
Can Pre-trained Language Models be Used to Resolve Textual and Semantic Merge Conflicts? - Federico Mason, Federico Chiariotti, Andrea Zanella:
No Free Lunch: Balancing Learning and Exploitation at the Network Edge. - Jun-Jie Liu, Kang-Too Tsang, Yuhui Deng:
A Variant RSA Acceleration with Parallelization. - Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong:
Hierarchical Graph Networks for 3D Human Pose Estimation. - Kristen Moore, Cody James Christopher, David Liebowitz, Surya Nepal, Renee Selvey:
Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception. - Stefan Kitzler, Friedhelm Victor, Pietro Saggese, Bernhard Haslhofer:
Disentangling Decentralized Finance (DeFi) Compositions. - En-Jung Tsai, Wei-Chang Yeh:
PAM: Pose Attention Module for Pose-Invariant Face Recognition. - Edoardo Fadda, Junda He, Claudio J. Tessone, Paolo Barucca:
Consensus formation on heterogeneous networks. - Apostolos Panagiotopoulos, Giorgos Kordopatis-Zilos, Symeon Papadopoulos:
Leveraging Selective Prediction for Reliable Image Geolocation. - Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. - Chahat Raj, Priyanka Meel:
People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users. - Taha Ceritli, Christopher K. I. Williams:
ptype-cat: Inferring the Type and Values of Categorical Variables. - Taha Ceritli, Christopher K. I. Williams:
Identifying the Units of Measurement in Tabular Data. - Yifan Chang, Wenbo Li, Jian Peng, Bo Tang, Yu Kang, Yinjie Lei, Yuanmiao Gui, Qing Zhu, Yu Liu, Haifeng Li:
Reviewing continual learning from the perspective of human-level intelligence. - Dmitry Yu. Maximov, Sekou A. K. Diane:
Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration. - Kazuki Nakajima, Kazuyuki Shudo:
Social Graph Restoration via Random Walk Sampling. - Qiang Nie, Ziwei Liu, Yunhui Liu:
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept. - Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Bisheng Yang:
MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching. - Yuqi Zhou, Jeehyun Park, Hao Zhu:
Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations. - Chahat Raj, Priyanka Meel:
Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective. - Mikhail A. Raskin:
Modular population protocols. - Francesco Dagnino, Paola Giannini, Mariangiola Dezani-Ciancaglini:
Deconfined Global Types for Asynchronous Sessions. - Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. - Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, Ning Lu:
Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy. - Yi Ding, Alex Rich, Mason Wang, Noah Stier, Matthew A. Turk, Pradeep Sen, Tobias Höllerer:
Sparse Fusion for Multimodal Transformers. - Yuqi Zhou, Arun Sukumaran Nair, David Ganger, Abhinandan Tripathi, Chaitanya Baone, Hao Zhu:
Appliance Level Short-term Load Forecasting via Recurrent Neural Network. - Massimo Frittelli, Anotida Madzvamuse, Ivonne Sgura:
Virtual element method for elliptic bulk-surface PDEs in three space dimensions. - Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik Vishwanath, Cody Perakslis, Abhishek Chandra, Jon B. Weissman:
Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments. - HamidReza Zare, Viveck R. Cadambe, Bhuvan Urgaonkar, Chetan Sharma, Praneet Soni, Nader Alfares, Arif Merchant:
LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding. - Yicheng Liao, Heng Wu, Xiongfei Wang, Mario Ndreko, Robert Dimitrovski, Wilhelm Winter:
Stability and Sensitivity Analysis of Multi-Vendor, Multi-Terminal HVDC Systems. - Mengbang Zou, Weisi Guo:
Local assortativity affects the synchronizability of scale-free network. - Chi-Han Peng, Jiayao Zhang:
Distortion Reduction for Off-Center Perspective Projection of Panoramas. - Kshitij Parwani, Pavlos Protopapas:
Adversarial Sampling for Solving Differential Equations with Neural Networks. - Giampaolo Bella, Pietro Biondi, Gianpiero Costantino, Ilaria Matteucci:
CINNAMON: A Module for AUTOSAR Secure Onboard Communication. - Giampaolo Bella, Pietro Biondi, Marco De Vincenzi, Giuseppe Tudisco:
Privacy and modern cars through a dual lens. - Andrei-Marius Avram, Vasile Florian Pais, Dan Tufis:
Romanian Speech Recognition Experiments from the ROBIN Project. - Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi:
Adversarial machine learning for protecting against online manipulation. - Kaiyu Yang, Jia Deng:
Learning Symbolic Rules for Reasoning in Quasi-Natural Language. - Rupamathi Jaddivada, Marija D. Ilic, Mario Garcia-Sanz, Mirjana Marden, Sonja Glavaski:
Model in-cognizant control of residential HVAC units with limited sensing and actuation. - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Generating Tree Structures for Hyperbolic Tessellations. - Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric:
Adaptive Multi-Goal Exploration. - Rupamathi Jaddivada, Marija D. Ilic:
Distributed energy control in electric energy systems. - Zhenhuan Yang, Yunwen Lei, Puyu Wang, Tianbao Yang, Yiming Ying:
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning. - Ian Colbert, Jake Daly, Norm Rubin:
Generating GPU Compiler Heuristics using Reinforcement Learning. - Jinu Gong, Osvaldo Simeone, Rahif Kassab, Joonhyuk Kang:
Forget-SVGD: Particle-Based Bayesian Federated Unlearning. - Henri Kauhanen:
A bifurcation threshold for contact-induced language change. - Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. - Christoph M. Kirsch, Stefanie Muroya Lei:
Quantum Advantage for All. - Fatemeh Lotfi, Omid Semiari, Walid Saad:
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks. - Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs:
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning. - Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. - Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman:
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. - Alejandra Medina, Michael D. Siciliano, Weijie Wang, Qian Hu:
Network Effects Research: A Systematic Review of Theoretical Mechanisms and Measures. - Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip H. S. Torr, Guoying Zhao:
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer. - Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. - Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin:
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. - Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang:
Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling. - Darko Bozhinoski, Jasper Wijkhuizen:
Context-based navigation for ground mobile robot in a semi-structured indoor environment. - Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Algorithmic Fairness in Face Morphing Attack Detection. - Smail Kourta, Adel Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi:
Caviar: An E-graph Based TRS for Automatic Code Optimization. - Osmar Luiz Ferreira de Carvalho Jr., Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Níckolas Castro Santana, Díbio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães:
Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset. - Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch:
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. - Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord:
Towards Learning Universal Audio Representations. - Osmar Luiz Ferreira de Carvalho Jr., Osmar Abílio de Carvalho Júnior, Cristiano Rosa Silva, Anesmar Olino de Albuquerque, Níckolas Castro Santana, Díbio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães:
Panoptic Segmentation Meets Remote Sensing. - Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features. - Kai Liu, Yarui Cao:
Robust Principal Component Analysis: A Construction Error Minimization Perspective. - Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. - Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard:
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups. - Konstantin Hopf, Sascha Reifenrath:
Filter Methods for Feature Selection in Supervised Machine Learning Applications - Review and Benchmark. - Darshil Doshi, Tianyu He, Andrey Gromov:
Critical initialization of wide and deep neural networks through partial Jacobians: general theory and applications to LayerNorm. - Andrzej Kozik, Tomasz Machalewski, Mariusz Marek, Adrian Ochmann:
Mimicking Playstyle by Adapting Parameterized Behavior Trees in RTS Games. - Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. - Keigo Imai, Julien Lange, Rumyana Neykova:
kmclib: Automated Inference and Verification of Session Types. - Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews:
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift. - Zhenlin Wang, Andrew Wagenmaker, Kevin G. Jamieson:
Best Arm Identification with Safety Constraints. - Deirdre McLaughlin, Daniel Klee, Tab Memmott, Betts Peters, Jack Wiedrick, Melanie Fried-Oken, Barry Oken:
Methodology and feasibility of neurofeedback to improve visual attention to letters in mild Alzheimer's disease. - Melih Sözdinler:
A Review on Analysis and Visualization Methods for Biclustering. - Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, Merethe Bagge, Erik Alexandersson, Junfeng Gao:
In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging. - Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit Leduc, Ioannis Kanellos:
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes. - Andreas Aristidou, Anastasios Yiannakides, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou:
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure. - Yibo Yang, Stephan Mandt:
Towards Empirical Sandwich Bounds on the Rate-Distortion Function. - Hanhan Zhou, Tian Lan, Guru Venkataramani:
PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer. - Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor:
Domain-Agnostic Clustering with Self-Distillation. - Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville:
Multi-label Iterated Learning for Image Classification with Label Ambiguity. - Olivier Ferret:
Using Distributional Principles for the Semantic Study of Contextual Language Models. - Kuldeep S. Gill, Son Nguyen, Myo M. Thein, Alexander M. Wyglinski:
Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization. - Marco Ferrari, Fardad Vakilipoor, Eric Regonesi, Mariangela Rapisarda, Maurizio Magarini:
Channel Characterization of Diffusion-based Molecular Communication with Multiple Fully-absorbing Receivers. - Xingyu Liu, Annabel Sun, Jason I. Hong:
Identifying Terms and Conditions Important to Consumers using Crowdsourcing. - Davood Mazinanian, Mohammad Bajammal, Ali Mesbah:
Style-Guided Web Application Exploration. - Jack Richter-Powell, Jonathan Lorraine, Brandon Amos:
Input Convex Gradient Networks. - Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. - Christian Schröder de Witt, Yongchao Huang, Philip H. S. Torr, Martin Strohmeier:
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS. - Ali A. Amer, Loc Nguyen:
Combinations of Jaccard with Numerical Measures for Collaborative Filtering Enhancement: Current Work and Future Proposal. - Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy, Kevin A. Schneider:
The Reproducibility of Programming-Related Issues in Stack Overflow Questions. - Lucas Santos Goncalves, Celso Barbosa Carvalho:
Sistema de sensoriamento sem fio aplicavel a deteccao de incendios florestais. - Zelong Li, Jianchao Ji, Yongfeng Zhang:
From Kepler to Newton: Explainable AI for Science Discovery. - Hong Ren, Cunhua Pan, Liang Wang, Zhoubing Kou, Kezhi Wang:
Long-Term CSI-based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning. - Kosuke Tahara, Noriaki Hirose:
Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera Rotation for Omnidirectional Image. - Aida Sheshbolouki, M. Tamer Özsu:
Scale-Invariant Strength Assortativity of Streaming Butterflies. - Chien-Ming Chen, Lili Chen, Wensheng Gan:
Flexible Pattern Discovery and Analysis. - Jin Hong, Yu-Dong Zhang, Weitian Chen:
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation. - Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. - Kangkang Wei, Weiqi Luo, Shunquan Tan, Jiwu Huang:
Universal Deep Network for Steganalysis of Color Image based on Channel Representation. - Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang:
PMSSC: Parallelizable Multi-Subset based Self-Expressive Model for Subspace Clustering. - Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang:
Scaling Up Vision-Language Pre-training for Image Captioning. - Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi:
Composing Loop-carried Dependence with Other Loops. - Jose Mari E. Ortega, Rolito G. Eballe:
Harmonic Centrality of Some Graph Families. - Deepti Gupta, Olumide Kayode, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun:
Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare. - Shi Qiu, Saeed Anwar, Nick Barnes:
PU-Transformer: Point Cloud Upsampling Transformer. - Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi:
Differentiating-based Vectorization for Sparse Kernels. - Rashna Kumar, Sana Asif, Elise Lee, Fabián E. Bustamante:
Third-party Service Dependencies and Centralization Around the World. - Samuel S. Olivier, Will Pazner, Terry S. Haut, Ben C. Yee:
A Family of Independent Variable Eddington Factor Methods with Efficient Linear Solvers. - Lu Shi, Konstantinos Karydis:
ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-based Nonlinear Robotic Systems. - Alex Lombardi, Fermi Ma, Nicholas Spooner:
Post-Quantum Zero Knowledge, Revisited (or: How to Do Quantum Rewinding Undetectably). - Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu:
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation. - Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. - Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. - Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. - Jing Liu, Jianfei Cai, Bohan Zhuang:
Sharpness-aware Quantization for Deep Neural Networks. - Ujala Qasim, Adnan Rashid, Osman Hasan:
Formalization of Bond Graph using Higher-order-logic Theorem Proving. - Shota Orihashi, Yoshihiro Yamazaki, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura:
Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languages. - Tomohiko Hironaka, Takashi Goda:
An efficient estimation of nested expectations without conditional sampling. - Vedant Satav, Virendra Singh:
Locality-based Graph Reordering for Processing Speed-Ups and Impact of Diameter. - Jon-Lark Kim, Whan-Hyuk Choi:
Self-orthogonality matrix and Reed-Muller code. - Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Jaehyung Seo, Seungjun Lee, Heuiseok Lim:
A Self-Supervised Automatic Post-Editing Data Generation Tool. - Shantha Kumar S, Vykunth P, Jayanthi D:
Real-time smart vehicle surveillance system. - Shiliang Chen, Wentao He, Jianfeng Ren, Xudong Jiang:
Attention-based Dual-stream Vision Transformer for Radar Gait Recognition. - Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin:
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. - Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun:
PTQ4ViT: Post-Training Quantization Framework for Vision Transformers. - Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang:
An Image Patch is a Wave: Phase-Aware Vision MLP. - Reza Arablouei, Liang Wang, Lachlan Currie, Flavio A. P. Alvarenga, Greg Bishop-Hurley:
Animal Behavior Classification via Deep Learning on Embedded Systems. - Jialu Zhang, Qian Zhang, Jianfeng Ren, Yitian Zhao, Jiang Liu:
Spatial-context-aware deep neural network for multi-class image classification. - Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh:
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search. - Wentao He, Jianfeng Ren, Ruibin Bai:
One-shot Visual Reasoning on RPMs with an Application to Video Frame Prediction. - Linfeng Ye:
Thundernna: a white box adversarial attack. - Aadirupa Saha, Akshay Krishnamurthy:
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability. - Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao:
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning? - Tomás M. Coronado, Arnau Mir, Francesc Rosselló:
Explicit solution of divide-and-conquer dividing by a half recurrences with polynomial independent term. - Ruxin Ding, Jianfeng Ren, Heng Yu, Jiawei Li:
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern. - Sarang Shrivastava, Afreen Shaikh, Shivani Shrivastava, Chung Ming Ho, Pradeep Reddy, Vijay Saraswat:
Handling tree-structured text: parsing directory pages. - Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Zhen Lei, Xin Liu, Size Li, Zhongyuan Wang:
Consistency Regularization for Deep Face Anti-Spoofing. - Zizhen Liu, Si Chen, Jing Ye, Junfeng Fan, Huawei Li, Xiaowei Li:
Efficient Secure Aggregation Based on SHPRG For Federated Learning. - Yang Li, Kang Li, Zhen Yang, Yang Yu, Runnan Xu, Miaosen Yang:
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach. - Kamilla Nazirkhanova, Joachim Neu, David Tse:
Information Dispersal with Provable Retrievability for Rollups. - Haoran Sun, Lantian Li, Thomas Fang Zheng, Dong Wang:
How Speech is Recognized to Be Emotional - A Study Based on Information Decomposition. - Runfa Li, Truong Nguyen:
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images. - Di Wang, Lantian Li, Hongzhi Yu, Dong Wang:
A Study on Decoupled Probabilistic Linear Discriminant Analysis. - Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, Jaehoon Yu:
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks. - Jiao Han, Yunqi Cai, Lantian Li, Guanyu Li, Dong Wang:
An MAP Estimation for Between-Class Variance. - Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. - Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation. - Atom Scott, Keisuke Fujii, Masaki Onishi:
How does AI play football? An analysis of RL and real-world football strategies. - Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon:
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation. - Elias Trommer, Bernd Waschneck, Akash Kumar:
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. - Yu Liu, Mingbo Zhao, Zhao Zhang, Haijun Zhang, Shuicheng Yan:
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing. - Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon:
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. - Changxu Cheng, Bohan Li, Qi Zheng, Yongpan Wang, Wenyu Liu:
Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition. - Binhui Xie, Kejia Yin, Shuang Li, Xinjing Chen:
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning. - Cornelius Bürkle, Florian Geissler, Michael Paulitsch, Kay-Ulrich Scholl:
Fault-Tolerant Perception for Automated Driving A Lightweight Monitoring Approach. - Charmaine Ndolo, Sebastian A. Henningsen, Martin Florian:
Crawling the MobileCoin Quorum System. - Leon Bungert, Jeff Calder, Tim Roith:
Uniform Convergence Rates for Lipschitz Learning on Graphs. - Gaëtan Pradel, Chris J. Mitchell:
Privacy-Preserving Biometric Matching Using Homomorphic Encryption. - Michele Benzi, Milo Viviani:
Solving cubic matrix equations arising in conservative dynamics. - Jiashuo Yu, Ying Cheng, Rui-Wei Zhao, Rui Feng, Yuejie Zhang:
MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing. - Zeyu Wang, Chenglin Yao, Jianfeng Ren, Xudong Jiang:
Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature. - Loïc Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace:
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks. - Felipe Gómez-Cuba:
Compressed Sensing Channel Estimation for OTFS Modulation in Non-Integer Delay-Doppler Domain. - Daniel Barath, Gábor Valasek:
Space-Partitioning RANSAC. - Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan:
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data. - Fatih Cagatay Akyon, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Sinan Onur Altinuc:
Track Boosting and Synthetic Data Aided Drone Detection. - Yuma Suzuki, Ryuhei Miyashiro:
Characterization of canonical systems with six types of coins for the change-making problem. - Florian Mannel:
On the convergence of Broyden's method and some accelerated schemes for singular problems. - Arnav Kapoor, Rishi Raj Jain, Avinash Prabhu, Tanvi Karandikar, Ponnurangam Kumaraguru:
I'll be back: Examining Restored Accounts On Twitter. - Jeremy E. Cohen:
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem. - Dailé Osorio Roig, Christian Rathgeb, Pawel Drozdowski, Philipp Terhörst, Vitomir Struc, Christoph Busch:
An Attack on Feature Level-based Facial Soft-biometric Privacy Enhancement. - Shiqi Liu, Lu Wang, Jie Lian, Ting Chen, Cong Liu, Xuchen Zhan, Jintao Lu, Jie Liu, Ting Wang, Dong Geng, Hongwei Duan, Yuze Tian:
Auto robust relative radiometric normalization via latent change noise modelling. - Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee:
Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications. - Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. - Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann:
NAM: Normalization-based Attention Module. - Riley Evans, Samantha Frohlich, Meng Wang:
CircuitFlow: A Domain Specific Language for Dataflow Programming (with appendices). - Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
Few-shot Named Entity Recognition with Cloze Questions. - Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao:
Machine Learning Guided Cross-Contract Fuzzing. - Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. - Jonas Van Der Donckt, M. Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke:
tsflex: flexible time series processing & feature extraction. - Michela Iezzi:
The Evolving Path of "the Right to Be Left Alone" - When Privacy Meets Technology. - Dorna Abdolazimi, Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
Matroid Partition Property and the Secretary Problem. - Yuta Honshuku, Hiroshi Isakari:
A topology optimisation of acoustic devices based on the frequency response estimation with the Padé approximation. - Khaled B. Letaief, Yuanming Shi, Jianmin Lu, Jianhua Lu:
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications. - Julia Ive, Atijit Anuchitanukul, Lucia Specia:
Revisiting Contextual Toxicity Detection in Conversations. - Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson:
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces. - Le Yang, Junwei Han, Tao Zhao, Tianwei Lin, Dingwen Zhang, Jianxin Chen:
Background-Click Supervision for Temporal Action Localization. - Giacomo Bergami, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi, Joonas Puura:
Exploring Business Process Deviance with Sequential and Declarative Patterns. - David Galindo, Jia Liu, Chris McMahon Stone, Mihai Ordean:
SoK: Untangling File-based Encryption on Mobile Devices. - Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations. - Aythami Morales, Julian Fiérrez, Javier Galbally, Marta Gomez-Barrero:
Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances. - Dimitrios Georgoulias, Jens Myrup Pedersen, Morten Falch, Emmanouil Vasilomanolakis:
COVID-19 vaccination certificates in the Darkweb. - Hanhua Ye, Guorong Li, Yuankai Qi, Shuhui Wang, Qingming Huang, Ming-Hsuan Yang:
Hierarchical Modular Network for Video Captioning. - Ilseyar Alimova, Elena Tutubalina:
Selection of pseudo-annotated data for adverse drug reaction classification across drug groups. - Sagnik Dey, Mayant Mukul, Parth Sharma, Swarnendu Biswas:
Predictive Data Race Detection for GPUs. - Lucia Romani, Alberto Viscardi:
Construction and evaluation of PH curves in exponential-polynomial spaces. - Moritz Ibing, Gregor Kobsik, Leif Kobbelt:
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences. - Jin Huang, Harrie Oosterhuis, Maarten de Rijke:
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. - Yao Lu, Wen Yang, Yunzhe Zhang, Jinhuan Wang, Shengbo Gong, Zhuangzhi Chen, Zuohui Chen, Qi Xuan, Xiaoniu Yang:
Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks. - Sarah Chlyah, Pierre Genevès, Nabil Layaïda:
Distributed Evaluation of Graph Queries using Recursive Relational Algebra. - Tim Elsner, Moritz Ibing, Victor Czech, Julius Nehring-Wirxel, Leif Kobbelt:
Intuitive Shape Editing in Latent Space. - Wei Zhao, Kenneth W. Shum, Shenghao Yang:
Repeated-root Constacyclic Codes with Optimal Locality. - Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma:
Causal Regularization Using Domain Priors. - Till Blume, David Richerby, Ansgar Scherp:
Time and Memory Efficient Algorithm for Structural Graph Summaries over Evolving Graphs. - Bin Han, Yao Zhu, Anke Schmeink, Hans D. Schotten:
Time-Energy-Constrained Closed-Loop FBL Communication for Dependable MEC. - Bishshoy Das, Milton Mondal, Brejesh Lall, Shiv Dutt Joshi, Sumantra Dutta Roy:
Softmax Gradient Tampering: Decoupling the Backward Pass for Improved Fitting. - Lina S. Mohjazi, Lina Bariah, Sami Muhaidat, Muhammad Ali Imran:
Performance of Reconfigurable Intelligent Surfaces in the Presence of Generalized Gaussian Noise. - Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. - Faranak Shamsafar, Andreas Zell:
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation. - Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler:
Extracting Triangular 3D Models, Materials, and Lighting From Images. - Johannes Hertrich, Paul Hagemann, Gabriele Steidl:
A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. - Stefania Fresca, Giorgio Gobat, Patrick Fedeli, Attilio Frangi, Andrea Manzoni:
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures. - André Silva, Matias Martinez, Benjamin Danglot, Davide Ginelli, Martin Monperrus:
FLACOCO: Fault Localization for Java based on Industry-grade Coverage. - Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert:
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. - David Junhao Zhang, Kunchang Li, Yunpeng Chen, Yali Wang, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou:
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video. - Amir Naseredini, Stefan Gast, Martin Schwarzl, Pedro Miguel Sousa Bernardo, Amel Smajic, Claudio Canella, Martin Berger, Daniel Gruss:
Systematic Analysis of Programming Languages and Their Execution Environments for Spectre Attacks. - Alex F. McKinney, Benjamin Cauchi:
Non-Intrusive Binaural Speech Intelligibility Prediction from Discrete Latent Representations. - Jiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen:
Knowledge Enhanced Sports Game Summarization. - Sergey B. Medvedev, Irina Vaseva, Mikhail P. Fedoruk:
Processing of optical signals by "surgical" methods for the Gelfand-Levitan-Marchenko equation. - Punit Tulpule, Umesh Vaidya:
Information-Theoretic Approach for Model Reduction Over Finite Time Horizon. - Yash Srivastava, Saumya Singh, S. P. Syed Ibrahim:
Autonomous bot with ML-based reactive navigation for indoor environment. - Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo:
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration. - Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia:
Learning to Refit for Convex Learning Problems. - Zac Yung-Chun Liu, Shoumik Roychowdhury, Scott Tarlow, Akash Nair, Shweta Badhe, Tejas Shah:
AutoDC: Automated data-centric processing. - Zinaid Kapic, Aladin Crnkic:
Interpolating Rotations with Non-abelian Kuramoto Model on the 3-Sphere. - Doyeon Kim, Jeonghwan Lee, Hye Won Chung:
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits. - Eddie Jones, C.-H. Luke Ong, Steven J. Ramsay:
CycleQ: An Efficient Basis for Cyclic Equational Reasoning. - Linghao Song, Yuze Chi, Licheng Guo, Jason Cong:
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication. - Eric Sihite, Pravin Dangol, Alireza Ramezani:
Optimization-free Ground Contact Force Constraint Satisfaction in Quadrupedal Locomotion. - Bonan Zhao, Christopher G. Lucas, Neil R. Bramley:
Building Object-based Causal Programs for Human-like Generalization. - Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks:
A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context. - Harsh Sankar Naicker, Yash Srivastava, Akshara Pramod, Niket Paresh Ganatra, Deepakshi Sood, Saumya Singh, Velmathi Guruviah:
Water Care: Water Surface Cleaning Bot and Water Body Surveillance System. - Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon:
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation. - Tomer Boyarski, Amir Leshem:
Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks. - Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk:
Optimizing Latent Space Directions For GAN-based Local Image Editing. - Shlomo Dubnov, Kevin Huang, Cheng-i Wang:
Towards Cross-Cultural Analysis using Music Information Dynamics. - Yang Li, Tatsuya Harada:
Lepard: Learning partial point cloud matching in rigid and deformable scenes. - Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. - Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. - Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev:
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. - Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook:
Deep metric learning improves lab of origin prediction of genetically engineered plasmids. - Xiaoxue Chen, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang:
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing. - Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. - Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. - Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen:
Group based Personalized Search by Integrating Search Behaviour and Friend Network. - Andrew Steyer, Robert J. Kuether:
Convergence of the harmonic balance method for smooth Hilbert space valued differential-algebraic equations. - Ravi S. Raju, Kyle Daruwalla, Mikko H. Lipasti:
Accelerating Deep Learning with Dynamic Data Pruning. - Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu:
Self-slimmed Vision Transformer. - Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik:
Efficient Decompositional Rule Extraction for Deep Neural Networks. - Jiajun Gong, Wuqi Zhang, Charles Zhang, Tao Wang:
WFDefProxy: Modularly Implementing and Empirically Evaluating Website Fingerprinting Defenses. - Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks. - Richard Seeber, Hernan Haimovich:
Optimal Robust Exact Differentiation via Linear Adaptive Techniques. - Dong Li, Jianan Li:
A global quadratic speed-up for computing the principal eigenvalue of Perron-like operators. - Runfa Li, Truong Nguyen:
SM3D: Simultaneous Monocular Mapping and 3D Detection. - Umar Masud, Anupam Agarwal:
Analysing Statistical methods for Automatic Detection of Image Forgery. - Evangelos Alexiou, Irene Viola, Pablo César:
PointPCA: Point Cloud Objective Quality Assessment Using PCA-Based Descriptors. - Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning. - Yixuan Lin, Vijay Gupta, Ji Liu:
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation. - Nicolai Dorka, Joschka Boedecker, Wolfram Burgard:
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. - Dorian Florescu, Felix Krahmer, Ayush Bhandari:
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. - Xinxing Wu, Tao Wang, Peide Liu, Gül Deniz Çayli, Xu Zhang:
Topological and Algebraic Structures of the Space of Atanassov's Intuitionistic Fuzzy Values. - Michelangelo Bin, Lorenzo Marconi:
Output Regulation by Postprocessing Internal Models for a Class of Multivariable Nonlinear Systems. - Cambridge Yang, Michael L. Littman, Michael Carbin:
Reinforcement Learning for General LTL Objectives Is Intractable. - Gautham Bekal, Mohammad Bari:
An XGBoost-Based Forecasting Framework for Product Cannibalization. - Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. - Nikita Koval, Dmitry Khalanskiy, Dan Alistarh:
A Formally-Verified Framework for Fair Synchronization in Kotlin Coroutines. - Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt:
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images. - David Solís Martín, Juan Galán-Páez, Joaquín Borrego-Díaz:
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine. - V. Ayala-Alfaro, J. A. Vilchis-Mar, Fernando E. Correa-Tome, Juan-Pablo Ramirez-Paredes:
Automatic Mapping with Obstacle Identification for Indoor Human Mobility Assessment. - Ce Zheng, Matías Mendieta, Pu Wang, Aidong Lu, Chen Chen:
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. - Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. - Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks:
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. - Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin:
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion. - Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy:
Investigating Tradeoffs in Real-World Video Super-Resolution. - Ilke Demir, Umur A. Ciftci:
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis. - Elazar Goldenberg, Tomasz Kociumaka, Robert Krauthgamer, Barna Saha:
Gap Edit Distance via Non-Adaptive Queries: Simple and Optimal. - Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. - Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. - Marcella Cornia, Lorenzo Baraldi, Giuseppe Fiameni, Rita Cucchiara:
Universal Captioner: Long-Tail Vision-and-Language Model Training through Content-Style Separation. - Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild. - Guillaume Rochette, Chris Russell, Richard Bowden:
Human Pose Manipulation and Novel View Synthesis using Differentiable Rendering. - Caleb Beckwith, Harsh Sankar Naicker, Svara Mehta, Viba R. Udupa, Nghia Tri Nim, Varun Gadre, Hammond Pearce, Gary Mac, Nikhil Gupta:
Needle in a Haystack: Detecting Subtle Malicious Edits to Additive Manufacturing G-code Files. - Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal:
Layered Controllable Video Generation. - Felix Biertümpfel, Nantiwat Pholdee, Samir Bennani, Harald Pfifer:
Finite Horizon Worst-Case Analysis of Linear Time-Varying Systems Applied to Launch Vehicle. - Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Gonzalo Nápoles, Nanne K. de Vries, Rik Crutzen:
FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps. - Hao Ren, Ziqiang Zheng, Yang Wu, Hong Lu, Yang Yang, Sai-Kit Yeung:
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval. - Siddharth Gururani, Alexander Lerch:
Semi-Supervised Audio Classification with Partially Labeled Data. - Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin, Lukasz Kaiser, Wojciech Gajewski, Henryk Michalewski, Jonni Kanerva:
Sparse is Enough in Scaling Transformers. - Rodrigo Lara, Andres Valenzuela, Daniel Schulz, Juan E. Tapia, Christoph Busch:
Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems. - Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik:
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. - Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang:
IMBENS: Ensemble Class-imbalanced Learning in Python. - Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. - Stavros Nousias, Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas:
Fast mesh denoising with data driven normal filtering using deep variational autoencoders. - Adam Farris, Aryaman Arora:
For the Purpose of Curry: A UD Treebank for Ashokan Prakrit. - Zhiming Zhao, Spiros Koulouzis, Riccardo Bianchi, Siamak Farshidi, Zeshun Shi, Ruyue Xin, Yuandou Wang, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling:
Notebook-as-a-VRE (NaaVRE): from private notebooks to a collaborative cloud virtual research environment. - Noah Golowich:
Differentially Private Nonparametric Regression Under a Growth Condition. - Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk:
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. - Oshin Agarwal, Ani Nenkova:
Temporal Effects on Pre-trained Models for Language Processing Tasks. - Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. - Shuhong Chen, Matthias Zwicker:
Improving the Perceptual Quality of 2D Animation Interpolation. - Sangmin Lim, Achyuta Yadunandan, Mohammad Khalid Jawed:
Bacteria Inspired Multi-Flagella Propelled Soft Robot at Low Reynolds Number. - Melih Sözdinler:
ProLiVis: Protein-Protein Interaction Literature Visualization System. - Binh Vu, Igor L. Markov:
Picasso: Model-free Feature Visualization. - Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. - Yiyou Sun, Chuan Guo, Yixuan Li:
ReAct: Out-of-distribution Detection With Rectified Activations. - Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga:
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. - Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini:
Tiny Pointers. - Atefe Pakzad, Morteza Analoui:
A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set. - Ryan Curry, Cameron Trotter, Andrew Stephen McGough:
Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? - Chen Chen, Xiao Liang, Bogdan Carbunar, Radu Sion:
SoK: Plausibly Deniable Storage. - Xinliang Zhang, Mojtaba Vaezi:
Complex Rotation-based Linear Precoding for Physical Layer Multicasting and SWIPT. - Chongjun Ouyang, Hongwen Yang:
MMSE Bound for MIMO Channel. - Chongjun Ouyang, Sheng Wu, Chunxiao Jiang, Yuanwei Liu, Julian Cheng, Hongwen Yang:
Asymptotic Average Mutual Information Over Finite Input Mixture Gamma Distributed Channels. - Hortense Fong, Vineet Kumar, Anay Mehrotra, Nisheeth K. Vishnoi:
Fairness for AUC via Feature Augmentation. - Saif Iftekar Sayed, Vassilis Athitsos:
Cross Your Body: A Cognitive Assessment System for Children. - Dang Quang A, Pham Huy Dien, Dang Quang Long:
Numerical solution of a nonlinear functional integro-differential equation. - Anibal Sanjab, Hélène Le Cadre, Yuting Mou:
TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach. - Cody James Christopher, Kristen Moore, David Liebowitz:
SchemaDB: Structures in Relational Datasets. - Liang Wang, Reza Arablouei, Flavio A. P. Alvarenga, Greg Bishop-Hurley:
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks. - Jeonghun Park, Jinseok Choi, Namyoon Lee:
Coverage Analysis for Satellite Downlink Networks. - Mridul Aanjaneya, Jay P. Lim, Santosh Nagarakatte:
RLibm-Prog: Progressive Polynomial Approximations for Fast Correctly Rounded Math Libraries. - Xin Zhang, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu:
Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization. - Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. - Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. - Ayman Moawad, Krishna Murthy Gurumurthy, Ömer Verbas, Zhijian Li, Ehsan Islam, Vincent Freyermuth, Aymeric Rousseau:
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles. - Yihan He, Joan Bruna:
Multi-fidelity Stability for Graph Representation Learning. - Yimeng Li, Jana Kosecka:
Uncertainty Aware Proposal Segmentation for Unknown Object Detection. - Edward Johns:
Back to Reality for Imitation Learning. - Wangkai Jin, Junyu Liu, Jianfeng Ren, Xiangjun Peng:
Polyphonic Sound Event Detection Using Capsule Neural Network on Multi-Type-Multi-Scale Time-Frequency Representation. - Sharif Rahman, Ramin Jahanbin:
A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions. - Jie Han, Tao Guo, Qiaoqiao Zhou, Wei Han, Bo Bai, Gong Zhang:
Structural Entropy of the Stochastic Block Models. - Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. - Jianbo Jiao, João F. Henriques:
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks. - Yuuya Takayama:
Graph recovery from graph wave equation. - Ivo Bukovsky, Gejza Dohnal, Peter Mark Benes, Kei Ichiji, Noriyasu Homma:
A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings. - Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization. - Zeyad Ali Sami Emam, Hong-Min Chu, Ping-Yeh Chiang, Wojciech Czaja, Richard Leapman, Micah Goldblum, Tom Goldstein:
Active Learning at the ImageNet Scale. - Yu-Sheng Lin, Wei-Chao Chen, Chia-Lin Yang, Shao-Yi Chien:
A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads. - Khanh-Duy Nguyen, Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, Isao Echizen:
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio. - Qi Chen, Yuanqing Li, Yuankai Qi, Jiaqiu Zhou, Mingkui Tan, Qi Wu:
V2C: Visual Voice Cloning. - Sen Yang, Zhicheng Wang, Ze Chen, Yanjie Li, Shoukui Zhang, Zhibin Quan, Shu-Tao Xia, Yiping Bao, Erjin Zhou, Wankou Yang:
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association. - Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation. - Yang Zhang, Qiang Ma:
Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet. - Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. - Ke Chen, Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Low-rank approximation for multiscale PDEs. - Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu:
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene. - Bernardo Aquino, Arash Rahnama, Peter Seiler, Lizhen Lin, Vijay Gupta:
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity. - Seonghwan Seo, Jaechang Lim, Woo Youn Kim:
Fragment-based molecular generative model with high generalization ability and synthetic accessibility. - Ali Menati, Le Xie:
A Preliminary Study on the Role of Energy Storage and Load Rationing in Mitigating the Impact of the 2021 Texas Power Outage. - Jonathan Samuel Lumentut, In Kyu Park:
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer. - Minh Tam Pham, Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
A dual benchmarking study of facial forgery and facial forensics. - Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. - Zengyan Zhang, Yuezheng Gong, Jia Zhao:
A Remark on the Invariant Energy Quadratization (IEQ) Method for Preserving the Original Energy Dissipation Laws. - Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang:
Clustering Effect of (Linearized) Adversarial Robust Models. - Shichao Li, Kwang-Ting Cheng:
Joint stereo 3D object detection and implicit surface reconstruction. - Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang, I-Hsiang Chen, Jian-Jiun Ding, Sy-Yen Kuo:
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation. - Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita:
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion. - Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon:
Facial Depth and Normal Estimation using Single Dual-Pixel Camera. - Yi Ren, Hongyan Tang, Siwen Zhu:
Unbiased Pairwise Learning to Rank in Recommender Systems. - Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy:
ML-Decoder: Scalable and Versatile Classification Head. - Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.:
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition. - Sourav Das, Prasanta Mandal, Sanjay Chatterji:
Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions. - Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng:
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. - Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li:
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation. - Xilin Tang, Weixian Li, Wei Zhao:
A Characterization of MDS Symbol-pair Codes over Two Types of Alphabets. - Shin Ando:
Few-shot Deep Representation Learning based on Information Bottleneck Principle. - Kehang Han, Balaji Lakshminarayanan, Jeremiah Z. Liu:
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift. - Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei:
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. - Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. - Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko:
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. - Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak:
Self-Distilled Self-Supervised Representation Learning. - Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo:
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark. - Xiaoxiao Zhao, Jinlong Lei, Li Li:
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. - Tilahun Melkamu Getu:
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks. - Xiangyu Qi, Tinghao Xie, Ruizhe Pan, Jifeng Zhu, Yong Yang, Kai Bu:
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks. - Yihao Huang, Felix Juefei-Xu, Qing Guo, Weikai Miao, Yang Liu, Geguang Pu:
AdvBokeh: Learning to Adversarially Defocus Blur. - Fausto Barbero, Katrin Schulz, Fernando R. Velázquez-Quesada, Kaibo Xie:
Observing Interventions: A logic for thinking about experiments. - Samuel B. Hopkins, Gautam Kamath, Mahbod Majid:
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism. - Di Chang:
CDNet is all you need: Cascade DCN based underwater object detection RCNN. - Muge Du, Kaichao Liang, Yinong Liu, Yuxiang Xing:
Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods. - Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Demystifying Graph Neural Network Explanations. - Or Goren, Eliya Nachmani, Lior Wolf:
A-Muze-Net: Music Generation by Composing the Harmony based on the Generated Melody. - Xiao Zhang, Zhengping Ji, Daizhan Cheng:
Hidden Order of Boolean Networks. - Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu:
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. - Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani:
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. - Hao Liu, Xinghua Jiang, Xin Li, Zhimin Bao, Deqiang Jiang, Bo Ren:
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition. - Pawan Goyal, Peter Benner:
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. - Guillermo Jiménez-Pérez, Juan Acosta, Alejandro Alcaine, Oscar Camara:
Generalizing electrocardiogram delineation: training convolutional neural networks with synthetic data augmentation. - Zhen-Chen Guo, Xin Liang:
The intrinsic Toeplitz structure and its applications in algebra Riccati equations. - Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen:
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. - Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang:
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. - Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. - Gongsheng Li, Xianzheng Jia, Wenyi Liu, Zhiyuan Li:
An inverse problem of determining fractional orders in a fractal solute transport model. - Joshua Mitton, Chaitanya Kaul, Roderick Murray-Smith:
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image. - Ruyong Feng, Shuang Feng, Li-Yong Shen:
Quasi-equivalence of heights in algebraic function fields of one variable. - Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak:
Toward an Idiomatic Framework for Cognitive Robotics. - Matej Troják, Samuel Pastva, David Safránek, Lubos Brim:
Regulated Multiset Rewriting Systems. - Rocco Mora, Jean-Pierre Tillich:
On the dimension and structure of the square of the dual of a Goppa code. - Thomas Koehler, Phil Trinder, Michel Steuwer:
Sketch-Guided Equality Saturation: Scaling Equality Saturation to Complex Optimizations in Languages with Bindings. - Chris Reed, Keri Grieman, Joseph Early:
Non-Asimov Explanations Regulating AI through Transparency. - Luca Mariot:
Deriving Smaller Orthogonal Arrays from Bigger Ones with Genetic Algorithm. - Felix Tamke, Udo Buscher:
The vehicle routing problem with drones and drone speed selection. - Yannick Schmitz, Egon Wanke:
On the Strong Metric Dimension of directed co-graphs. - Gian Marti, Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO. - Gustavo Penha, Arthur Câmara, Claudia Hauff:
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators. - Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas:
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. - Shuxue Peng, Zihang He, Haotian Zhang, Ran Yan, Chuting Wang, Qingtian Zhu, Xiao Liu:
MegLoc: A Robust and Accurate Visual Localization Pipeline. - Sebastian Cygert, Andrzej Czyzewski:
Robust Object Detection with Multi-input Multi-output Faster R-CNN. - Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs:
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. - Matthew J. Colbrook, Lorna J. Ayton:
A contour method for time-fractional PDEs and an application to fractional viscoelastic beam equations. - Jiachen Xu, Min Wang, Jingyu Gong, Wentao Liu, Chen Qian, Yuan Xie, Lizhuang Ma:
Exploring Versatile Prior for Human Motion via Motion Frequency Guidance. - Umangi Jain, Harish G. Ramaswamy:
Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI). - Xin Li, Xin Jin, Jun Fu, Xiaoyuan Yu, Bei Tong, Zhibo Chen:
Few-Shot Real Image Restoration via Distortion-Relation Guided Transfer Learning. - Marx L. Viana, Paulo S. C. Alencar, Carlos Lucena:
Towards an Adaptive and Normative Multi-Agent System Metamodel and Language: Existing Approaches and Research Opportunities. - Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek:
BoxeR: Box-Attention for 2D and 3D Transformers. - Xuan Son Nguyen:
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition. - Bas van den Heuvel, Jorge A. Pérez:
Deadlock Freedom for Asynchronous and Cyclic Process Networks (Extended Version). - Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller:
Path Guiding Using Spatio-Directional Mixture Models. - Bowen Zhao, Chen Chen, Qi Ju, Shutao Xia:
Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining. - Xidan Song, Edoardo Manino, Luiz H. Sena, Erickson H. da S. Alves, Eddie Batista de Lima Filho, Iury Bessa, Mikel Luján, Lucas C. Cordeiro:
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking. - József Molnár, Peter Horváth:
Surface Segmentation Using Implicit Divergence Constraint Between Adjacent Minimal Paths. - Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, Shixiang Shane Gu:
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field. - Zhipeng Wang, Xiu-Xiu Zhan, Chuang Liu, Zi-Ke Zhang:
Quantification of network structural dissimilarities based on graph embedding. - Kunjian Song, Nedas Matulevicius, Eddie B. de Lima Filho, Lucas C. Cordeiro:
ESBMC-Solidity: An SMT-Based Model Checker for Solidity Smart Contracts. - Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. - Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus Jung:
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval. - Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard:
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. - Vishal Kumar, Albert Mundu, Satish Kumar Singh:
Scene Graph Generation with Geometric Context. - Anti Alman, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, Andrey Rivkin:
Monitoring Hybrid Process Specifications with Conflict Management: The Automata-theoretic Approach. - Abir Messaoudi, Ahmed Cheikhrouhou, Hatem Haddad, Nourchene Ferchichi, Moez BenHajhmida, Abir Korched, Malek Naski, Faten Ghriss, Amine Kerkeni:
TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect. - Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke:
Group equivariant neural posterior estimation. - Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner:
Ontology-Based Skill Description Learning for Flexible Production Systems. - Erwin Luesink, Sagy Ephrati, Paolo Cifani, Bernard J. Geurts:
Casimir preserving stochastic Lie-Poisson integrators. - Mohamed Khodeir, Ben Agro, Florian Shkurti:
Learning to Search in Task and Motion Planning with Streams. - Rachael Colley, Umberto Grandi, Arianna Novaro:
Unravelling multi-agent ranked delegations. - João Vitorino, Rui Andrade, Isabel Praça, Orlando Sousa, Eva Maia:
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection. - Hadrien Montanelli, Matthieu Aussal, Houssem Haddar:
Computing weakly singular and near-singular integrals in high-order boundary elements. - Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. - Alexander Becker, Stefania Russo, Stefano Puliti, Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning. - Ammarah Farooq, Muhammad Awais, Sara Atito Ali Ahmed, Josef Kittler:
Global Interaction Modelling in Vision Transformer via Super Tokens. - Abenezer Girma, Abdollah Homaifar, M. Nabil Mahmoud, Xuyang Yan, Mrinmoy Sarkar:
DA2-Net : Diverse & Adaptive Attention Convolutional Neural Network. - Othmane Sebbouh, Marco Cuturi, Gabriel Peyré:
Randomized Stochastic Gradient Descent Ascent. - Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye:
Semantic-Aware Generation for Self-Supervised Visual Representation Learning. - Luxuan Yang, Ting Gao, Yubin Lu, Jinqiao Duan, Tao Liu:
Time Series Forecasting with Ensembled Stochastic Differential Equations Driven by Lévy Noise. - Giuseppe Orlando, Paolo Francesco Barbante, Luca Bonaventura:
An efficient IMEX-DG solver for the compressible Navier-Stokes equations with a general equation of state. - Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli:
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. - Aly Sabri Abdalla, Vuk Marojevic:
Security Threats and Cellular Network Procedures for Unmanned Aircraft Systems. - Xuan Zhao:
Homogeneous Low-Resolution Face Recognition Method based Correlation Features. - Sameer Khanna:
Computer Vision User Entity Behavior Analytics. - Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta:
A Sphere Packing Bound for Vector Gaussian Fading Channels under Peak Amplitude Constraints. - Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann:
Variational Gibbs inference for statistical model estimation from incomplete data. - Hélder F. S. Campos, Nuno Paulino:
Multiple target tracking with interaction using an MCMC MRF Particle Filter. - Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth:
Learning Conditional Invariance through Cycle Consistency. - Essam Mansour, Kavitha Srinivas, Katja Hose:
Federated Data Science to Break Down Silos [Vision]. - Kyle Daruwalla, Mikko H. Lipasti:
Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates. - Yukun Yang, Peng Li:
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks. - Dato Kavazi, Victor Smirnov, Sasha Shilina, Mozgiii, Mingdong Li, Rafael Contreras, Hardik Gajera, Dmitry Lavrenov, the Humanode Core:
Humanode Whitepaper: You are [not] a bot. - Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang:
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. - Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski:
Entropy-Based Approximation of the Secretary Problem. - Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. - Xingzi Xu, Ali Hasan, Khalil Elkhalil, Jie Ding, Vahid Tarokh:
Characteristic Neural Ordinary Differential Equations. - Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Ignacio Serna, Aythami Morales:
OTB-morph: One-Time Biometrics via Morphing applied to Face Templates. - Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda:
Cross-Domain Object Detection via Adaptive Self-Training. - Margarita Vinaroz, Mijung Park:
DP-SEP! Differentially Private Stochastic Expectation Propagation. - Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza, Nasir M. Rajpoot:
FedDropoutAvg: Generalizable federated learning for histopathology image classification. - Changhwan Lee, Yeesuk Kim, Bong Gun Lee, Doosup Kim, Jongseong Jang:
Look at here : Utilizing supervision to attend subtle key regions. - Florian Frantzen, Jean-Baptiste Seby, Michael T. Schaub:
Outlier Detection for Trajectories via Flow-embeddings. - Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. - Bakhadyr Khoussainov, Khí-Uí Soo:
Quasi-Isometric Graph-Simplifications. - Shimon Kogan, Merav Parter:
New Diameter-Reducing Shortcuts and Directed Hopsets: Breaking the √n Barrier. - Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. - Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson:
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. - Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. - Luca Mariot, Martina Saletta, Alberto Leporati, Luca Manzoni:
Heuristic Search of (Semi-)Bent Functions based on Cellular Automata. - Fang Li, Elmer Salazar, Gopal Gupta:
Graph-based Interpretation of Normal Logic Programs. - Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Marko Djurasevic, Alberto Leporati:
On the Difficulty of Evolving Permutation Codes. - Vasilis Livanos:
A Simple and Tight Greedy OCRS. - Blake Cole, Gabriel Schamberg:
Unscented Kalman Filter for Long-Distance Vessel Tracking in Geodetic Coordinates. - Pranav Narayanan Venkit, Shomir Wilson:
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models. - Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. - Yasaman S. Sefidgar, Paula S. Nurius, Amanda Baughan, Lisa A. Elkin, Anind K. Dey, Eve A. Riskin, Jennifer Mankoff, Margaret E. Morris:
Examining Needs and Opportunities for Supporting Students Who Experience Discrimination. - Yahya Alnashri, Hasan Alzubaidi:
The gradient discretisation method for the chemical reactions of biochemical systems. - Yijia Chen, Jörg Flum, Mingjun Liu, Zhiyang Xun:
On Queries Determined by a Constant Number of Homomorphism Counts. - Evmorfia Biliri, Minas Pertselakis, Marios Phinikettos, Marios Zacharias, Fenareti Lampathaki, Dimitrios Alexandrou:
Designing a Trusted Data Brokerage Framework in the Aviation Domain. - Aya Sayed, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Intelligent edge-based recommender system for internet of energy applications. - Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic:
Unsupervised Feature Ranking via Attribute Networks. - Ben Usman, Dina Bashkirova, Kate Saenko:
Disentangled Unsupervised Image Translation via Restricted Information Flow. - Walid Bousselham, Guillaume Thibault, Lucas Pagano, Archana Machireddy, Joe W. Gray, Young Hwan Chang, Xubo Song:
Efficient Self-Ensemble Framework for Semantic Segmentation. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. - Amr Hendy, Esraa A. Gad, Mohamed Abdelghaffar, Jailan S. ElMosalami, Mohamed Afify, Ahmed Y. Tawfik, Hany Hassan Awadalla:
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs. - Ji Yang, Youdong Ma, Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng:
3D Pose Estimation and Future Motion Prediction from 2D Images. - Ran Shuai:
Influence of atomic FAA on ParallelFor and a cost model for improvements. - Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang:
KNAS: Green Neural Architecture Search. - Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, Kaleem Siddiqi:
Medial Spectral Coordinates for 3D Shape Analysis. - Neel Chatterjee, Somya Sharma, Sarah L. Swisher, Snigdhansu Chatterjee:
Approximate Bayesian Computation for Physical Inverse Modeling. - Haitz Sáez de Ocáriz Borde:
Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks. - Deshui Miao, Jiaqi Zhang, Wenbo Xie, Jian Song, Xin Li, Lijuan Jia, Ning Guo:
Simple Contrastive Representation Adversarial Learning for NLP Tasks. - Gábor Erdélyi, Olivia Johanna Erdélyi, Andreas W. Kempa-Liehr:
A Proposal for Amending Privacy Regulations to Tackle the Challenges Stemming from Combining Data Sets. - Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun:
Self-supervised Correlation Mining Network for Person Image Generation. - Aloisio Dourado, Frederico Guth, Teofilo de Campos:
Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors. - Anurag Aribandi, Divyanshu Agrawal, Dipanjan Chakraborty:
Evaluating Trust in the Context of Conversational Information Systems for new users of the Internet. - Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. - Matthieu Herrmann, Geoffrey I. Webb:
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping. - Aleksandr Beznosikov, Martin Takác:
Random-reshuffled SARAH does not need a full gradient computations. - Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang:
Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism. - Qifan Xue, Shengyi Li, Xuanpeng Li, Jingwen Zhao, Weigong Zhang:
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting. - Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto:
Evacuation Shelter Scheduling Problem. - Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, Yi-Ren Yeh:
Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition. - Go Kato, Mikio Fujiwara, Toyohiro Tsurumaru:
Advantage of the key relay protocol over secure network coding. - Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao:
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. - Xuran Meng, Jianfeng Yao:
Implicit Data-Driven Regularization in Deep Neural Networks under SGD. - Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. - Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. - Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. - Thi Ngan Dong, Graham Brogden, Gisa Gerold, Megha Khosla:
A multitask transfer learning framework for the prediction of virus-human protein-protein interactions. - Jie Wang, Caili Guo, Minan Guo, Jiujiu Chen:
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction. - Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang:
Contrastive Vicinal Space for Unsupervised Domain Adaptation. - Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren:
Neural Collaborative Graph Machines for Table Structure Recognition. - Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot:
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. - Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. - Klaus Jung, Kai Uwe Barthel, Nico Hezel, Konstantin Schall:
PicArrange - Visually Sort, Search, and Explore Private Images on a Mac Computer. - P. Shanmukh Kali Prasad, Vadlamani Madhav, Ramanuj Lal, Vadlamani Ravi:
Optimal Technical Indicator-based Trading Strategies Using NSGA-II. - Shashank Yadav:
Machines and Influence. - (Withdrawn) A deep learning based reduced order modeling for stochastic underground flow problems.
- Yegor Bugayenko:
EOLANG and phi-calculus. - Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. - Marcos F. Criado, Fernando E. Casado, Roberto Iglesias, Carlos Vázquez Regueiro, Senén Barro:
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead. - Alessandro Benfenati, Giuseppe Bisazza, Paola Causin:
A Learned SVD approach for Inverse Problem Regularization in Diffuse Optical Tomography. - Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi, Madda Manjusha, Abir Das:
Reinforcement Explanation Learning. - Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. - Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
TRIP: Refining Image-to-Image Translation via Rival Preferences. - Nuno Miguel Cardanha Paulino, Luís M. Pessoa, André Branquinho, Rafael Tavares, Igor Ferreira:
Optimizing Packet Reception Rates for Low Duty-Cycle BLE Relay Nodes. - Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin:
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. - Rustem Yeshpanov, Yerbolat Khassanov, Huseyin Atakan Varol:
KazNERD: Kazakh Named Entity Recognition Dataset. - Xin Li, Zhizheng Zhang, Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen:
Confounder Identification-free Causal Visual Feature Learning. - Jing Cheng, Chao Shen, Zheng Chen, Nikolaos Pappas:
RIS-aided D2D Communication Design for URLLC Packet Delivery. - Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert:
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. - Unai Rioja, Lejla Batina, Igor Armendariz, Jose Luis Flores:
Keep It Unbiased: A Comparison Between Estimation of Distribution Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis. - Tobias Brandt, Dieter Hutter, Christian Maeder, Rainer Müller:
Towards a Secure and Reliable IT-Ecosystem in Seaports. - Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn:
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. - Timo Schick, Hinrich Schütze:
True Few-Shot Learning with Prompts - A Real-World Perspective. - Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh:
How Well Do Sparse Imagenet Models Transfer? - Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation. - Emilie Eliseussen, Marie E. Rognes, Travis B. Thompson:
A-posteriori error estimation and adaptivity for multiple-network poroelasticity. - Minz Won, Keunwoo Choi, Xavier Serra:
Semi-Supervised Music Tagging Transformer. - Omar Alfarisi, Aikifa Raza, Djamel Ouzzane, Hongxia Li, Mohamed Sassi, Tiejun Zhang:
Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions. - Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. - Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao:
A Taxonomy of Anomalies in Log Data. - Ivica Kostric, Krisztian Balog, Filip Radlinski:
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. - Cristina G. Fernandes, Carla Negri Lintzmayer:
How heavy independent sets help to find arborescences with many leaves in DAGs. - Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. - Minz Won, Justin Salamon, Nicholas J. Bryan, Gautham J. Mysore, Xavier Serra:
Emotion Embedding Spaces for Matching Music to Stories. - Shantanu Jaiswal, Basura Fernando, Cheston Tan:
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs. - Philipp Terhörst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran B. Raja, Arjan Kuijper:
QMagFace: Simple and Accurate Quality-Aware Face Recognition. - Hiroshi Eto, Takehiro Ito, Yasuaki Kobayashi, Yota Otachi, Kunihiro Wasa:
Reconfiguration of Regular Induced Subgraphs. - Yoginder Kumar Negi, N. Balakrishnan, Sadasiva M. Rao:
Symmetric Near-Field Schur Complement Preconditioner for Hierarchal Electric Field Integral Equation Solve. - Iván Blanco-Chacón, Lorena López-Hernanz:
RLWE/PLWE equivalence for the maximal totally real subextension of the 2rpq-th cyclotomic field. - Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng:
Learning Long-Term Reward Redistribution via Randomized Return Decomposition. - Lik-Hang Lee, Zijun Lin, Rui Hu, Zhengya Gong, Abhishek Kumar, Tangyao Li, Sijia Li, Pan Hui:
When Creators Meet the Metaverse: A Survey on Computational Arts. - Rasmus Laurvig Haugaard, Anders Glent Buch:
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings. - Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
In-painting Radiography Images for Unsupervised Anomaly Detection. - Christopher Rost, Philip Fritzsche, Lucas Schons, Maximilian Zimmer, Dieter Gawlick, Erhard Rahm:
Bitemporal Property Graphs to Organize Evolving Systems. - Seyed Amid Moeinzadeh Mirhosseini, Ali Fanian, T. Aaron Gulliver:
A Trust and Reputation System for IoT Exploiting Distributed Ledger Technology. - Philip L. Lederer, Rolf Stenberg:
Analysis of Mixed Finite Elements for Elasticity. I. Exact stress symmetry. - Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen:
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation. - Hehao Niu, Zheng Chu, Fuhui Zhou, Cunhua Pan, Derrick Wing Kwan Ng, Huan Xuan Nguyen:
Double Intelligent Reflecting Surface-assisted Multi-User MIMO mmWave Systems with Hybrid Precoding. - Stefan Hoffmann:
Commutative Regular Languages with Product-Form Minimal Automata. - Stefan Hoffmann:
State Complexity Investigations on Commutative Languages - The Upward and Downward Closure, Commutative Aperiodic and Commutative Group Languages. - Roman Matzutt, Benedikt Kalde, Jan Pennekamp, Arthur Drichel, Martin Henze, Klaus Wehrle:
CoinPrune: Shrinking Bitcoin's Blockchain Retrospectively. - Yangchen Li, Ying Cui, Vincent K. N. Lau:
An Optimization Framework for Federated Edge Learning. - Stefan Hoffmann:
Sync-Maximal Permutation Groups Equal Primitive Permutation Groups. - Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Jie Wu:
Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements. - Dun Li, Dezhi Han, Noël Crespi, Roberto Minerva, Zhijie Sun:
Fabric-SCF: A Blockchain-based Secure Storage and Access Control Scheme for Supply Chain Finance. - Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret:
GeoNeRF: Generalizing NeRF with Geometry Priors. - Alexander Mordvintsev, Eyvind Niklasson:
μNCA: Texture Generation with Ultra-Compact Neural Cellular Automata. - Sarah Ibrahimi, Nanne van Noord, Tim Alpherts, Marcel Worring:
Inside Out Visual Place Recognition. - Mohammed Dabbah, Ran El-Yaniv:
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners. - Vishwanath R. Singireddy, Manjanna Basappa:
Edge-Vertex Dominating Set in Unit Disk Graphs. - Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini:
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. - Rami Ghannam, Cecilia Ka Yuk Chan:
Teaching Undergraduate Students to Think Like Real-World Systems Engineers: A Technology-Based Hybrid Learning Approach. - Changjie Lu, Shen Zheng, Hailu Qiu:
Asian Giant Hornet Control based on Image Processing and Biological Dispersal. - Weizhu Bao, Harald Garcke, Robert Nürnberg, Quan Zhao:
Volume-preserving parametric finite element methods for axisymmetric geometric evolution equations. - Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention. - Junquan Deng, Wei Shi, Jian Hu, Xianlong Jiao:
Semi-supervised t-SNE for Millimeter-wave Wireless Localization. - Corné de Ruijt, Sandjai Bhulai:
Job Recommender Systems: A Review. - Changyao Tian, Wenhai Wang, Xizhou Zhu, Xiaogang Wang, Jifeng Dai, Yu Qiao:
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition. - Hanwen Li, Qiuyan Shang, Tianxiang Zhan, Yong Deng:
Evaluating importance of nodes in complex networks with local volume information dimension. - John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. - Shudong Yang:
Academic Lobification: Low-performance Control Strategy for Long-planed Academic Purpose. - Liyan Chang, Paula Branco:
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. - Zeynep Tuna Deger, Gülsen Taskin Kaya:
A Novel GPR-Based Prediction Model for Cylic Backbone Curves of Reinforced Concrete Shear Walls. - Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Conditional Image Generation with Score-Based Diffusion Models. - M. Zeng:
Joint Wireless and Computing Resources Allocation in Multi-Cell MEC. - Malte Lehna, Björn Hoppmann, René Heinrich, Christoph Scholz:
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator. - Sneha Singhania, Simon Razniewski, Gerhard Weikum:
Predicting Document Coverage for Relation Extraction. - Leon Bungert, Nicolás García Trillos, Ryan Murray:
The Geometry of Adversarial Training in Binary Classification. - Georgi Ganev:
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs? - Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini:
An Optimal Algorithm for Finding Champions in Tournament Graphs. - Guanru Pan, Ruchuan Ou, Timm Faulwasser:
On a Stochastic Fundamental Lemma and Its Use for Data-Driven MPC. - Matthew Chignoli, Savva Morozov, Sangbae Kim:
Rapid and Reliable Trajectory Planning Involving Omnidirectional Jumping of Quadruped Robots. - Momchil Peychev, Anian Ruoss, Mislav Balunovic, Maximilian Baader, Martin T. Vechev:
Latent Space Smoothing for Individually Fair Representations. - Chenhongyi Yang, Lichao Huang, Elliot J. Crowley:
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning. - Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers:
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. - Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. - Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali:
Towards Low-Cost and Efficient Malaria Detection. - David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi:
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. - Will Crichton, Marco Patrignani, Maneesh Agrawala, Pat Hanrahan:
Modular Information Flow Through Ownership. - Justin Le Louëdec, Grzegorz Cielniak:
3D shape sensing and deep learning-based segmentation of strawberries. - Ricardo Muñoz-Cancino, Cristián Bravo, Sebastián A. Ríos, Manuel Graña:
On the combination of graph data for assessing thin-file borrowers' creditworthiness. - Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler:
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns. - Qitai Wang, Yuntao Chen, Ziqi Pang, Naiyan Wang, Zhaoxiang Zhang:
Immortal Tracker: Tracklet Never Dies. - Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. - Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. - Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo:
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. - Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. - Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron:
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images. - Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao:
GMFlow: Learning Optical Flow via Global Matching. - Fabio Pizzati, Jean-François Lalonde, Raoul de Charette:
ManiFest: Manifold Deformation for Few-shot Image Translation. - Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao:
A Survey of Blockchain Data Management Systems. - Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Zonghan Wu, Cheng Wang, Philip S. Yu:
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. - Francesco Locatello:
Enforcing and Discovering Structure in Machine Learning. - Zhihao Du, Shiliang Zhang, Siqi Zheng, Weilong Huang, Ming Lei:
Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information. - Patrick Urrutia, David Wren, Chrysafis Vogiatzis, Ruriko Yoshida:
SARS-CoV-2 Dissemination using a Network of the United States Counties. - Dongfang Xu, Shan Chen, Timothy Miller:
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning. - Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan:
Failure Modes of Domain Generalization Algorithms. - Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Cecilia Zhang, Jiawen Chen, Felix Heide:
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement. - Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable:
Variable resolution Poisson-disk sampling for meshing discrete fracture networks. - Hung Le, Shay Solomon:
A Unified Framework of Light Spanners II: Fine-Grained Optimality. - Aly Sabri Abdalla, Pratheek S. Upadhyaya, Vijay K. Shah, Vuk Marojevic:
Toward Next Generation Open Radio Access Network-What O-RAN Can and Cannot Do! - Alejandro Morales Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas-Gonzalez:
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning. - M. Z. Naser:
Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence. - Xiao Pan, Zhizhao Wen, Tony T. Y. Yang:
Dynamic Analysis of Nonlinear Civil Engineering Structures using Artificial Neural Network with Adaptive Training. - Jianqiao Mao, Grammenos Ryan:
Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic Buildings. - Haim Kaplan, Uri Stemmer:
A Note on Sanitizing Streams with Differential Privacy. - Akhil Meethal, Asharaf S, Sumitra S:
Unsupervised MKL in Multi-layer Kernel Machines. - Harsh Panwar, Saswata Chatterjee, Wil Dube:
A Fast Evolutionary adaptation for MCTS in Pommerman. - Kirill Neklyudov, Priyank Jaini, Max Welling:
Particle Dynamics for Learning EBMs. - Ignacio Arroyo-Fernández, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez-Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Yalbi Itzel Balderas-Martínez:
Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature. - Pranav Khadpe, Chinmay Kulkarni, Geoff Kaufman:
Empathosphere: Promoting Constructive Communication in Ad-hoc Virtual Teams through Perspective-taking Spaces. - Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown:
Learning from learning machines: a new generation of AI technology to meet the needs of science. - Lan Fu, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang:
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond. - Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
LAFITE: Towards Language-Free Training for Text-to-Image Generation. - Md. Saiful Islam, Md. Noor-E.-Alam:
Feature Selection for Causal Inference from High Dimensional Observational Data with Outcome Adaptive Elastic Net. - Alasdair Tran, Alexander Patrick Mathews, Lexing Xie, Cheng Soon Ong:
Factorized Fourier Neural Operators. - Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh:
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. - Tianlong Ma, Xingjiao Wu, Xin Li, Xiangcheng Du, Zhao Zhou, Liang Xue, Cheng Jin:
Document Layout Analysis with Aesthetic-Guided Image Augmentation. - Yiwei Qiu, Jin Lin, Zhipeng Zhou, Ningyi Dai, Feng Liu, Yonghua Song:
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports. - Pradyumn Patil, Vishwajeet Pawar, Yashraj Pawar, Shruti Pisal:
Video Content Classification using Deep Learning. - Ming Sun, Yue Gao:
GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific Grasping. - Yining Zhao, Samantha ODell, Xiaohan Yang, Jing-Yi Liao, Kexin Yang, Laura Fumanelli, Tao Zhou, Jiancheng Lv, Marco Ajelli, Quanhui Liu:
Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted. - Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang:
Video Frame Interpolation Transformer. - Weijia Xu, Heidi Ross, Joel Meyer, Kelly A. Pierce, Natalia Ruiz-Juri, Jennifer C. Duthie:
Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video. - Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung:
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. - Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou:
FQ-ViT: Fully Quantized Vision Transformer without Retraining. - Morteza Rezanejad, Babak Samari, Elham Karimi, Ioannis M. Rekleitis, Gregory Dudek, Kaleem Siddiqi:
Average Outward Flux Skeletons for Environment Mapping and Topology Matching. - L. Siddharth, Luciënne T. M. Blessing, Jianxi Luo:
Natural Language Processing in-and-for Design Research. - Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng:
Partner Personas Generation for Diverse Dialogue Generation. - Jiafeng Cui, Tengfei Huang, Yingfeng Cai, Junqiao Zhao, Lu Xiong, Zhuoping Yu:
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition. - Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. - Liyong Lin, Rong Su:
A Topological Approach for Computing Supremal Sublanguages for Some Language Equations in Supervisory Control Theory. - Zheng Yuan, Jie Zhang, Shiguang Shan:
Adaptive Perturbation for Adversarial Attack. - Zheng Yuan, Jie Zhang, Shiguang Shan:
Adaptive Image Transformations for Transfer-based Adversarial Attack. - Jeya Pradha Jeyaraj, Martin Haenggi, Ahmed Hamdi Sakr, Hongsheng Lu:
The Transdimensional Poisson Process for Vehicular Network Analysis. - Shengbo Wang, Shiping Wen, Kaibo Shi, Song Zhu, Tingwen Huang:
Optimal Tracking Control for Unknown Linear Systems with Finite-Time Parameter Estimation. - Shengbo Wang, Bo Lyu, Shiping Wen, Kaibo Shi, Tingwen Huang:
Robust Finite-Time Adaptation Law for Safety-Critical Control. - Xihua Sheng, Jiahao Li, Bin Li, Li Li, Dong Liu, Yan Lu:
Temporal Context Mining for Learned Video Compression. - Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo, Yiqun Liu:
Pre-training Methods in Information Retrieval. - Zhenhua Wang, Bei-ke Zhang, Dong Gao:
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process. - Zhenhua Wang, Dong Gao, Haozhe Liu, Fanglin Liu:
Why MDAC? A Multi-domain Activation Function. - Andrea Adriani, Davide Bianchi, Paola Ferrari, Stefano Serra-Capizzano:
Asymptotic spectra of large (grid) graphs with a uniform local structure (part II): numerical applications. - Zhenhua Wang, Bei-ke Zhang, Dong Gao:
AIS: A nonlinear activation function for industrial safety engineering. - Simon Daniel Duque Antón, Daniel Fraunholz, Daniel Krohmer, Daniel Reti, Daniel Schneider, Hans Dieter Schotten:
The Global State of Security in Industrial Control Systems: An Empirical Analysis of Vulnerabilities around the World. - (Withdrawn) Spine-like Joint Link Mechanism to Design Wearable Assistive Devices with Comfort and Support.
- Julian Stastny, Maxime Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton:
Normative Disagreement as a Challenge for Cooperative AI. - Prabhat Kumar:
Topology optimization of stiff structures under self-weight for given volume using a smooth Heaviside function. - Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang:
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution. - Albin Severinson, Eirik Rosnes, Salim El Rouayheb, Alexandre Graell i Amat:
DSAG: A mixed synchronous-asynchronous iterative method for straggler-resilient learning. - Muhammad Asif Khan, Ridha Hamila, Adel Gastli, Serkan Kiranyaz, Nasser Ahmed Al-Emadi:
ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks. - Hans Hao-Hsun Hsu, Jiawen Xu, Ravi Sama, Matthias Kovatsch:
Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection. - Xiujun Shu, Yusheng Tao, Ruizhi Qiao, Bo Ke, Wei Wen, Bo Ren:
Head and Body: Unified Detector and Graph Network for Person Search in Media. - Linlin Zhao, Shaoshi Yang, Xuefen Chi, Wanzhong Chen, Shaodan Ma:
Achieving Energy-Efficient Uplink URLLC with MIMO-Aided Grant-Free Access. - Adhokshaj Mishra, Animesh Roy, Manjesh Kumar Hanawal:
Evading Malware Analysis Using Reverse Execution. - Yinchen Shen, Zhiguo Wang, Ruoyu Sun, Xiaojing Shen:
Towards Understanding the Impact of Model Size on Differential Private Classification. - Nefeli Andreou, Andreas Lazarou, Andreas Aristidou, Yiorgos Chrysanthou:
A Hierarchy-Aware Pose Representation for Deep Character Animation. - Vassilis Vassiliadis, Konstantinos Parasyris, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas:
Artificial neural networks for online error detection. - Adam Lockett:
Assessing the Effectiveness of YARA Rules for Signature-Based Malware Detection and Classification. - Prosenjit Bose, Guillermo Esteban, David Orden, Rodrigo I. Silveira:
On approximating shortest paths in weighted triangular tessellations. - Felix Mohr, Jan N. van Rijn:
Fast and Informative Model Selection using Learning Curve Cross-Validation. - Anurag Goel, Angshul Majumdar:
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. - Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. - Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. - Eric Simon, Bernd Amann, Rutian Liu, Stéphane Gançarski:
Controlling the Correctness of Aggregation Operations During Sessions of Interactive Analytic Queries. - Ronit Bustin, Ofer Shayevitz:
On lossy Compression of Directed Graphs. - François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh:
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. - Milan Mossé, Duligur Ibeling, Thomas Icard:
Is Causal Reasoning Harder than Probabilistic Reasoning? - Paulo Sergio Panse Silveira, José de Oliveira Siqueira, João Lucas Bernardy, Jessica Santiago, Thiago Cersosimo Meneses, Bianca Sanches Portela, Marcelo Frota Benvenuti:
Computational simulation and the search for a quantitative description of simple reinforcement schedules. - Kecheng Zheng, Jiawei Liu, Wei Wu, Liang Li, Zhengjun Zha:
Calibrated Feature Decomposition for Generalizable Person Re-Identification. - Prateek Chanda, Malay Bhattacharya:
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures. - Florian Frohn, Carsten Fuhs:
A Calculus for Modular Loop Acceleration and Non-Termination Proofs. - Ruo-Qian Wang:
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation. - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Interpreting Dense Retrieval as Mixture of Topics. - Weizhong Zhang, Shuang Qiu:
Safe Screening for Sparse Conditional Random Fields. - AmirHossein Naghshzan, Latifa Guerrouj, Olga Baysal:
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow. - Huayi Li, Nan Li, Ilya V. Kolmanovsky, Anouck Girard:
Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning. - Abbas Tariverdi, Ulysse Côté Allard, Kim Mathiassen, Ole Jakob Elle, Håvard Kalvøy, Ørjan Grøttem Martinsen, Jim Tørresen:
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment. - Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl:
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. - Siddhesh Pawar, Shyam Thombre, Anirudh Mittal, Girishkumar Ponkiya, Pushpak Bhattacharyya:
Tapping BERT for Preposition Sense Disambiguation. - Somnath Banerjee, Maulindu Sarkar, Nancy Agrawal, Punyajoy Saha, Mithun Das:
Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages. - Hooman Alavizadeh, Julian Jang-Jaccard, Hootan Alavizadeh:
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection. - (Withdrawn) Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development.
- Dominic Baril, Simon-Pierre Deschênes, Olivier Gamache, Maxime Vaidis, Damien LaRocque, Johann Laconte, Vladimír Kubelka, Philippe Giguère, François Pomerleau:
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned. - Agnieszka Mykowiecka, Agnieszka A. Mykowiecka, Piotr Rychlik:
Language models in word sense disambiguation for Polish. - Buyun Liang, Ju Sun:
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. - Emery Pierson, Juan Carlos Álvarez Paiva, Mohamed Daoudi:
Projection-based Classification of Surfaces for 3D Human Mesh Sequence Retrieval. - Devin Smedira, David B. Shmoys:
Scheduling Appointments Online: The Power of Deferred Decision-Making. - Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do:
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics. - Vahideh Keikha, Sepideh Aghamolaei, Ali Mohades, Mohammad Ghodsi:
Clustering Geometrically-Modeled Points in the Aggregated Uncertainty Model. - Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen R. McKeown:
An analysis of document graph construction methods for AMR summarization. - Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. - Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. - Vaishnavi Shrivastava, Radhika Gaonkar, Shashank Gupta, Abhishek Jha:
Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions. - Anand A. Rajasekar, Nikesh Garera:
Answer Generation for Questions With Multiple Information Sources in E-Commerce. - Jan Derbisz:
A polynomial kernel for vertex deletion into bipartite permutation graphs. - Guang-Xin Huang, Qixing Chen, Feng Yin:
Preconditioned TBiCOR and TCORS Algorithms for Solving the Sylvester Tensor Equation. - Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation. - Yang Peng, Ping Liu, Yawei Luo, Pan Zhou, Zichuan Xu, Jingen Liu:
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation. - Priyanka Bothra, Raja Karmakar, Sanjukta Bhattacharya, Sayantani De:
How Can Applications of Blockchain and Artificial Intelligence Improve Performance of Internet of Things? - A Survey. - Nikita Bhalla, Adam Lechowicz, Cameron Musco:
Local Edge Dynamics and Opinion Polarization. - Behzad Golparvar, Ruo-Qian Wang:
AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis. - Hengtao He, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach. - Shu Liu, Chaoping Xing:
Bounds and Constructions for Insertion and Deletion Codes. - Naoto Ohsaka, Tatsuya Matsuoka:
Reconfiguration Problems on Submodular Functions. - Bill Tuck Weng Pung, Alvin Chan:
FastTrees: Parallel Latent Tree-Induction for Faster Sequence Encoding. - Yifan Zhou, Zhendong Shi, Ruoxi Sun:
Visualization and Attack Prevention for a Sensor-Based Agricultural Monitoring System. - Bingkai Lin, Xuandi Ren, Yican Sun, Xiuhan Wang:
On Lower Bounds of Approximating Parameterized k-Clique. - Bill Tuck Weng Pung, Alvin Chan:
ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning. - Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue:
Dissecting Malware in the Wild. - Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. - Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue:
Statically Detecting Adversarial Malware through Randomised Chaining. - Alissa Chavalithumrong, Hyung-Jin Yoon, Petros G. Voulgaris:
Learning Wildfire Model from Incomplete State Observations. - Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou:
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets. - Jian Ma:
On Thermodynamic Interpretation of Copula Entropy. - Christina Chaccour, Walid Saad, Omid Semiari, Mehdi Bennis, Petar Popovski:
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems. - Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. - Aqi Gao, Yanwei Pang, Jing Nie, Jiale Cao, Yishun Guo:
EGFN: Efficient Geometry Feature Network for Fast Stereo 3D Object Detection. - Mathieu Tuli, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Towards Robust and Automatic Hyper-Parameter Tunning. - Andre Fu, Justin Tran, Andy Xie, Jonathan Spraggett, Elisa Ding, Chang Won Lee, Kanav Singla, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
NoFADE: Analyzing Diminishing Returns on CO2 Investment. - Kumar Apurv, Renran Tian, Rini Sherony:
Detection of E-scooter Riders in Naturalistic Scenes. - Andre Fu, Elisa Ding, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
P4AI: Approaching AI Ethics through Principlism. - Alexandros Haridis, Stella Rossikopoulou Pappa:
Natural Language and Spatial Rules. - Jie Wang, Jianan Li, Lihe Ding, Ying Wang, Tingfa Xu:
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds. - Wei Song, Jiameng Ying, Sihao Shen, Boya Li, Hao Ma, Peng Liu:
A Comprehensive and Cross-Platform Test Suite for Memory Safety - Towards an Open Framework for Testing Processor Hardware Supported Security Extensions. - Longfei Yin, Bruno Clerckx:
Rate-Splitting Multiple Access for Satellite-Terrestrial Integrated Networks: Benefits of Coordination and Cooperation. - Rohan Lal Kshetry:
Image preprocessing and modified adaptive thresholding for improving OCR. - Weijia Zheng:
Empirical Conditional Mean: A New Method of Predicting Throughput in Uplink Data Network. - Xinxin Yan, Ndapa Nakashole:
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results. - Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty:
Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network. - Marco Repetto:
Multicriteria interpretability driven Deep Learning. - Petr N. Vabishchevich:
Numerical solution of the heat conduction problem with memory. - S. K. Devitt:
Cognitive factors that affect the adoption of autonomous agriculture. - Wei Tong, Jiri Matas, Daniel Barath:
Deep MAGSAC++. - Yicheng Zhu, Yiqiao Qiu, Yanghui Rao:
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification. - Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen:
Gated SwitchGAN for multi-domain facial image translation. - Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky:
CHARTER: heatmap-based multi-type chart data extraction. - Chengzhi Zhang, Lei Zhao, Mengyuan Zhao, Yingyi Zhang:
Enhancing Keyphrase Extraction from Academic Articles with their Reference Information. - Bowen Ma, Chengzhi Zhang, Yuzhuo Wang, Sanhong Deng:
Enhancing Identification of Structure Function of Academic Articles Using Contextual Information. - Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes:
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems. - Michal Koziarski:
Imbalanced data preprocessing techniques utilizing local data characteristics. - Akihiro Nakano, Shi Chen, Kazuyuki Demachi:
Cross-Task Consistency Learning Framework for Multi-Task Learning. - Oliver Schweiger, Klaus-Tycho Foerster, Stefan Schmid:
Improving the Resilience of Fast Failover Routing: TREE (Tree Routing to Extend Edge disjoint paths). - Nuwan Sriyantha Bandara, Sahan Hettiarachchi, Phabhani Athukorala:
AirSPEC: An IoT-empowered Air Quality Monitoring System integrated with a Machine Learning Framework to Detect and Predict defined Air Quality parameters. - Tal Shaharabany, Lior Wolf:
Learning a Weight Map for Weakly-Supervised Localization. - Meng Hua, Qingqing Wu:
Throughput Maximization for IRS-Aided MIMO FD-WPCN with Non-Linear EH Model. - Chaochen Shi, Yong Xiang, Jiangshan Yu, Longxiang Gao:
Semantic Code Search for Smart Contracts. - Z. K. Eshkuvatov:
New Development of Homotopy Analysis Method for a Non-linear Integro-Differential Equations with initial conditions. - Markus Borg:
Agility in Software 2.0 - Notebook Interfaces and MLOps with Buttresses and Rebars. - Kenan E. Ak, Joo Hwee Lim, Ying Sun, Jo Yew Tham, Ashraf A. Kassim:
FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation. - Naoto Ohsaka, Tatsuya Matsuoka:
Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes. - Henrik S. Steude, Alexander Windmann, Oliver Niggemann:
Learning Physical Concepts in Cyber-Physical Systems: A Case Study. - Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta:
Implicit Equivariance in Convolutional Networks. - Sahir Shrestha, Mohammad Ali Armin, Hongdong Li, Nick Barnes:
Learning To Segment Dominant Object Motion From Watching Videos. - Benjamin Meindl, Joana Mendonça:
Mapping Industry 4.0 Technologies: From Cyber-Physical Systems to Artificial Intelligence. - Kunliang Liu, Ouk Choi, Jianming Wang, Wonjun Hwang:
CDGNet: Class Distribution Guided Network for Human Parsing. - Nizar Masmoudi, Wael Jaafar, Safa Cherif, Jihene Ben Abderrazak, Halim Yanikomeroglu:
UAV-based Crowd Surveillance in Post COVID-19 Era. - Bengisu Guresti, Nazim Kemal Ure:
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents. - Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis. - Cheng Huang, Hui Zhou, Chunyang Ye, Bingzhuo Li:
Code Clone Detection based on Event Embedding and Event Dependency. - Shoumik Saha, Sadia Afroz, Atif Rahman:
MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment. - Mayank Soni, Brendan Spillane, Emer Gilmartin, Christian Saam, Benjamin R. Cowan, Vincent Wade:
An Empirical Study of Topic Transition in Dialogue. - Zein Shaheen, Gerhard Wohlgenannt, Dmitry Muromtsev:
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer models. - Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Saket Saurabh, Jie Xue:
Subexponential Parameterized Algorithms for Cut and Cycle Hitting Problems on H-Minor-Free Graphs. - Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey. - Dailin Hu, Pieter Abbeel, Roy Fox:
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning. - Thibaut Benjamin:
Monoidal weak omega-categories as models of a type theory. - Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Emergent Graphical Conventions in a Visual Communication Game. - Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora:
On Predicting Generalization using GANs. - Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen:
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. - Anil Zenginoglu:
A null infinity layer for wave scattering. - Qianqian Song:
Approximate Inference via Clustering. - Chengyuan Deng, Youzuo Lin:
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion. - Priyank Kalgaonkar, Mohamed El-Sharkawy:
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox. - Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak:
Schema matching using Gaussian mixture models with Wasserstein distance. - Arjun Mirani, Alex McAvoy:
Payoff landscapes and the robustness of selfish optimization in iterated games. - Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen:
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. - Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. - Caglar Durmaz, Kasim Sinan Yildirim, Geylani Kardas:
Virtualizing Intermittent Computing. - Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey. - Jie Wang, Jason Cong:
Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned. - Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen:
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. - Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez:
A Practical Tutorial on Explainable AI Techniques. - Mahdi Pourmirzaei, Gholam Ali Montazer, Ebrahim Mousavi:
Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation. - Wenda Qin, Teruhisa Misu, Derry Wijaya:
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method. - Changrak Choi, Muhammad Adil, Amir Rahmani, Ramtin Madani:
Optimal Multi-Robot Motion Planning via Parabolic Relaxation. - Siddharth Sharma, Florian Dubost, Christopher Lee-Messer, Daniel L. Rubin:
Automated Detection of Patients in Hospital Video Recordings. - Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim:
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. - Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill:
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. - Verónica Anaya, Ruben Caraballo, Ricardo Ruiz-Baier, Héctor Torres:
Augmented finite element formulation for the Navier-Stokes equations with vorticity and variable viscosity. - Axel G. R. Turnquist:
Adaptive Mesh Methods on Compact Manifolds via Optimal Transport and Optimal Information Transport. - Minh Thanh Vu:
Hypothesis Testing of Mixture Distributions using Compressed Data. - Navdeep Jain:
Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat. - Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang:
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification. - Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander:
Deblur-NeRF: Neural Radiance Fields from Blurry Images. - Taisuke Kobayashi, Takahito Enomoto:
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning. - Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. - Panjian Huang, Xu Liu, Yongzhen Huang:
Data Augmentation For Medical MR Image Using Generative Adversarial Networks. - Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li:
PSG: Prompt-based Sequence Generation for Acronym Extraction. - Mengnan Shi, Chang Liu, Qixiang Ye, Jianbin Jiao:
Feature-Gate Coupling for Dynamic Network Pruning. - Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li:
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. - Xiaofei Sun, Jiwei Li, Xiaoya Li, Ziyao Wang, Tianwei Zhang, Han Qiu, Fei Wu, Chun Fan:
A General Framework for Defending Against Backdoor Attacks via Influence Graph. - Ted Fujimoto:
How Can Creativity Occur in Multi-Agent Systems? - Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani:
The CSIRO Crown-of-Thorn Starfish Detection Dataset. - T. Thang Vo-Doan, Van Than Dung, Hirotaka Sato:
Braking and Body Angles Control of an Insect-Computer Hybrid Robot by Electrical Stimulation of Beetle Flight Muscle in Free Flight. - Shihui Chen, Yueqing Zhuang, Boxun Li:
Learning Context-Aware Embedding for Person Search. - Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong:
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection. - Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. - Mehrnoosh Askarpour, Alan Wassyng, Mark Lawford, Richard F. Paige, Zinovy Diskin:
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey. - Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim:
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. - Yizhi Yuan, Marcelo Mattar:
Improving Experience Replay with Successor Representation. - Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi:
Improving Deep Learning Interpretability by Saliency Guided Training. - Usman Cheema, Mobeen Ahmad, Dongil Han, Seungbin Moon:
Heterogeneous Visible-Thermal and Visible-Infrared Face Recognition using Unit-Class Loss and Cross-Modality Discriminator. - Qi Zhao, Yufei Wang, Shuchang Lyu, Lijiang Chen:
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection. - Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. - Eunrang Kwon, Jinhyuk Yun, Jeong-han Kang:
The effect of the COVID-19 pandemic on gendered research productivity and its correlates. - Guan-Rong Lu, Yueh-Cheng Liu, Tung-I Chen, Hung-Ting Su, Tsung-Han Wu, Winston H. Hsu:
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data. - Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. - Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. - Tian Liu, Jun Xia, Xian Wei, Ting Wang, Xin Fu, Mingsong Chen:
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation. - Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran:
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. - Boxi Duan:
First Power Linear Unit with Sign. - Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li:
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. - Jeongbeen Yoon, Dahyun Kang, Minsu Cho:
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. - Negin Melek:
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds. - Zhiqiang Liu, Chengkai Huang, Yanxia Liu:
Improved Knowledge Distillation via Adversarial Collaboration. - Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
IDR: Self-Supervised Image Denoising via Iterative Data Refinement. - Xiaotong Wu, Lianyong Qi, Xiaolong Xu, Shui Yu, Wanchun Dou, Xuyun Zhang:
Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement. - David Lovell, Kellie Vella, Diego Muñoz, Matt McKague, Margot Brereton, Peter Ellis:
Exploring technologies to better link physical evidence and digital information for disaster victim identification. - Kusum Lata, Surbhi Chhabra, Sandeep Saini:
Hardware Software Co-design framework for Data Encryption in Image Processing Systems for the Internet of Things Environmen. - Wolfgang Konen, Samineh Bagheri:
Final Adaptation Reinforcement Learning for N-Player Games. - David Ha, Yujin Tang:
Collective Intelligence for Deep Learning: A Survey of Recent Developments. - Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Qiuyu Mao, Houqiang Li, Yanyong Zhang:
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion. - Michal P. Karpowicz:
A theory of meta-factorization. - Mohammad Ghodsi, Amirmahdi Mirfakhar:
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits. - Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer:
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. - Markus Tranninger, Helmut Niederwieser, Richard Seeber, Martin Horn:
Unknown Input Observer Design for Linear Time-Invariant Systems - A Unifying Framework. - Sergio Conti, Martin Rumpf, Stefan Simon:
Two-scale elastic shape optimization for additive manufacturing. - Zhijun He, Hongbo Zhao, Wenquan Feng:
PGGANet: Pose Guided Graph Attention Network for Person Re-identification. - Servio Paguada, Lejla Batina, Ileana Buhan, Igor Armendariz:
Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks. - Aurelien Mekuko Yonta, Matías Núñez, Issofa Moyouwou, Nicolas Gabriel Andjiga:
An axiomatic derivation of Condorcet-consistent social decision rules. - Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer:
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. - Xiaobo Hu, Zhihao Wu, Kai Lv, Shuo Wang, Youfang Lin:
Agent-Centric Relation Graph for Object Visual Navigation. - Sami Jaghouar, Hannes Gustafsson, Bernhard Mehlig, Erik Werner, Niklas Gustafsson:
Improving traffic sign recognition by active search. - Lies Hadjadj, Massih-Reza Amini, Sana Louhichi, Alexis Deschamps:
Self-Training of Halfspaces with Generalization Guarantees under Massart Mislabeling Noise Model. - Tom Philip Huck, Christoph Ledermann, Torsten Kröger:
Testing Robot System Safety by creating Hazardous Human Worker Behavior in Simulation. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, José Rafael Buendía Rubio, Gérôme Bovet, Gregorio Martínez Pérez:
Robust Federated Learning for execution time-based device model identification under label-flipping attack. - Mohammad Saleem, Bence Kovári:
K-nearest neighbour and dynamic time warping for online signature verification. - Zheyu Ye, Jiangning Liu, Qian Yu, Jianxun Ju:
Action based Network for Conversation Question Reformulation. - Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf:
Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. - Eric Zhongcong Xu, Zeyang Song, Chao Feng, Mang Ye, Mike Zheng Shou:
AVA-AVD: Audio-visual Speaker Diarization in the Wild. - Zhengbang Cao, Pengpeng Xie:
Incremental tensor regularized least squares with multiple right-hand sides. - Xin Huang, Qi Zhang, Feng Ying, Hongdong Li, Xuan Wang, Qing Wang:
HDR-NeRF: High Dynamic Range Neural Radiance Fields. - Issam Maarouf, Andreas Lenz, Lorenz Welter, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell i Amat:
Concatenated Codes for Multiple Reads of a DNA Sequence. - Damiano Di Vincenzo, Juri Di Rocco, Davide Di Ruscio, Alfonso Pierantonio:
Enhancing syntax expressiveness in domain-specific modelling. - Manuela Nayantara Jeyaraj, Valerio Antonini, Yingjie Niu, Sonal Santosh Baberwal, Faithful Chiagoziem Onwuegbuche, Robert Foskin:
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting. - Zhe Shen, Yudong Ma, Takeshi Tsuchiya:
Stability Analysis of a Feedback-linearization-based Controller with Saturation: A Tilt Vehicle with the Penguin-inspired Gait Plan. - Shijie Hao, Xu Han, Yanrong Guo, Meng Wang:
Decoupled Low-light Image Enhancement. - Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan:
Evolutionary Multitask Optimization: Are we Moving in the Right Direction? - Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. - Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstädt, Dominik Kowald:
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. - Junhao Xu, Jianwei Yu, Xunying Liu, Helen Meng:
Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition. - Weichuan Wang, Zhiwen Xie, Jin Liu, Yucong Duan, Bo Huang, Junsheng Zhang:
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph. - Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. - Siddharth Satyam, Honey Nikam, Shubham Sahay:
Energy-Efficient Implementation of Generative Adversarial Networks on Passive RRAM Crossbar Arrays. - Simon Graham, Mostafa Jahanifar, Quoc Dang Vu, Giorgos Hadjigeorghiou, Thomas Leech, David R. J. Snead, Shan E Ahmed Raza, Fayyaz A. Minhas, Nasir M. Rajpoot:
CoNIC: Colon Nuclei Identification and Counting Challenge 2022. - Yuling Jiao, Dingwei Li, Min Liu, Xiangliang Lu, Yuanyuan Yang:
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. - Lorenzo Brigato, Luca Iocchi:
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets. - Adam Samorzewski, Adrian Kliks:
User Allocation in Heterogeneous Network Supplied by Renewable Energy Sources. - Ozan Heydt, Sebastian Siebertz, Alexandre Vigny:
Local planar domination revisited. - Quentin Paletta, Anthony Hu, Guillaume Arbod, Philippe Blanc, Joan Lasenby:
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting. - Felix Mohr, Marcel Wever:
Naive Automated Machine Learning. - Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian:
Robust and Accurate Superquadric Recovery: a Probabilistic Approach. - Helen McKay, Nathan Griffiths, Phillip Taylor:
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams. - Alex Carsello, James Thomas, Ankita Nayak, Po-Han Chen, Mark Horowitz, Priyanka Raina, Christopher Torng:
Enabling Reusable Physical Design Flows with Modular Flow Generators. - Kai Liu:
Spherical Matrix Factorization. - Hartmut Surmann, Dominik Slomma, Stefan Grobelny, Robert Grafe:
Deployment of Aerial Robots after a major fire of an industrial hall with hazardous substances, a report. - Jingjing Jiang, Ziyi Liu, Nanning Zheng:
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering. - Laura Monteyne, Gilles Callebaut, Björn Sihlbom, Liesbet Van der Perre:
Out-of-Band Distortion in Massive MIMO: What to expect under realistic conditions? - Benoît Guillard, Federico Stella, Pascal Fua:
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. - Rujie Zhong, Josiah P. Hanna, Lukas Schäfer, Stefano V. Albrecht:
Robust On-Policy Data Collection for Data-Efficient Policy Evaluation. - Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang:
On the Integration of Self-Attention and Convolution. - Joe Kinahan, Alan F. Smeaton:
Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles. - Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan:
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram. - Hyunmin Lee, Jaesik Park:
Instance-wise Occlusion and Depth Orders in Natural Scenes. - Mengting Xu, Tao Zhang, Daoqiang Zhang:
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. - Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger:
A new Sinkhorn algorithm with Deletion and Insertion operations. - Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. - Apoorv Shukla, Klaus-Tycho Foerster:
Shortcutting Fast Failover Routes in the Data Plane. - Sangwon Jung, Sanghyuk Chun, Taesup Moon:
Learning Fair Classifiers with Partially Annotated Group Labels. - Weixuan Tang, Danping Zou:
Multi-instance Point Cloud Registration by Efficient Correspondence Clustering. - Zoe Kotti, Konstantinos Kravvaritis, Konstantina Dritsa, Diomidis Spinellis:
Standing on Shoulders or Feet? An Extended Study on the Usage of the MSR Data Papers. - Arthur Câmara, Nirmal Roy, David Maxwell, Claudia Hauff:
Searching to Learn with Instructional Scaffolding. - Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu:
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. - Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection. - Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations. - Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek:
"Money makes the world go around": Identifying Barriers to Better Privacy in Children's Apps From Developers' Perspectives. - Ralvi Isufaj, Marsel Omeri, Miquel Angel Piera:
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning. - Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu:
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. - Jiawei Mao, Xuesong Yin, Yuanqi Chang, Qi Huang:
Weakly-supervised Generative Adversarial Networks for medical image classification. - Nishchal Parne, Kyathi Puppaala, Nithish Bhupathi, Ripon Patgiri:
Machine Unlearning: Learning, Polluting, and Unlearning for Spam Email. - Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Yu Huang, Qiang Xu:
Representation Learning of Logic Circuits. - Xie Zhang, Chengpei Tang, Yasong An, Kang Yin:
WiFi-based Multi-task Sensing. - Jordan J. Bird:
Improving Customer Service Chatbots with Attention-based Transfer Learning. - Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant:
Post-discovery Analysis of Anomalous Subsets. - Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong:
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. - Guanzhou Li, Yujing He, Jianping Wu:
Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation. - Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. - Nathanael L. Ackerman, Julian Asilis, Jieqi Di, Cameron E. Freer, Jean-Baptiste Tristan:
On computable learning of continuous features. - Farhat Iqbal, Shafiq ur Réhman, Khawar Iqbal:
Optimal Load Scheduling Using Genetic Algorithm to Improve the Load Profile. - Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison:
iLabel: Interactive Neural Scene Labelling. - Oleg Balabanov, Laura Grigori:
Randomized block Gram-Schmidt process for solution of linear systems and eigenvalue problems. - Aili Shao:
A high-order discontinuous Galerkin in time discretization for second-order hyperbolic equations. - Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. - Jiadai Sun, Yuxin Mao, Yuchao Dai, Yiran Zhong, Jianyuan Wang:
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation. - Mohammad Dimassi, Abed Ellatif Samhat, Mohammad Zaraket, Jamal Haydar, Mustafa Shukor, Ali J. Ghandour:
Buildings Classification using Very High Resolution Satellite Imagery. - Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. - Vishnu V. Narayan, Gautam Rayaprolu, Adrian Vetta:
Risk-Free Bidding in Complement-Free Combinatorial Auctions. - Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun:
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. - Manxi Lin, Aasa Feragen:
diffConv: Analyzing Irregular Point Clouds with an Irregular View. - Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf:
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments. - Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, David Rolnick:
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models. - Chen Guo, Xu Chen, Jie Song, Otmar Hilliges:
Human Performance Capture from Monocular Video in the Wild. - Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-shot Learning with DeCompositional Consensus. - Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. - Gülsen Taskin, Gustau Camps-Valls:
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. - Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel:
Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems. - Zeki Bilgin:
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning. - Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg:
Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning. - Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. - Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu:
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. - Xinxing Yang, Genke Yang, Jian Chu:
The Computational Drug Repositioning without Negative Sampling. - Seongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi:
Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture. - Alexander Ostermann, Duy Phan:
Exponential integrators for second-order in time partial differential equations. - Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet. - Rahul RK, Shantha Kumar S, Vykunth P, Sairamnath K:
Real-time Attention Span Tracking in Online Education. - Zhengxiang Wang:
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching. - Sulphikar A:
Equiseparability on Terminal Wiener Index and Distances. - Giulia Frascaria, Animesh Trivedi, Lin Wang:
A Case for a Programmable Edge Storage Middleware. - Benedikt Höltgen:
Encoding Causal Macrovariables. - Minghao Chen, Kan Wu, Bolin Ni, Houwen Peng, Bei Liu, Jianlong Fu, Hongyang Chao, Haibin Ling:
Searching the Search Space of Vision Transformer. - Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Exploring Alignment of Representations with Human Perception. - Dyah Adila, Dongyeop Kang:
Understanding Out-of-distribution: A Perspective of Data Dynamics. - Selim Furkan Tekin, Suleyman Serdar Kozat:
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions. - Thibaut Benjamin:
Formalization of dependent type theory: The example of CaTT. - Georgios Piliouras, Ryann Sim, Stratis Skoulakis:
Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU. - Jack Langerman, Ziming Qiu, Gábor Sörös, Dávid Sebok, Yao Wang, Howard Huang:
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels. - Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao:
A Simple Long-Tailed Recognition Baseline via Vision-Language Model. - Aolin Xu:
Dynamic Inference. - Menghe Zhang, Jürgen P. Schulze, Dong Zhang:
FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality. - Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl:
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. - Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew:
Local convergence of alternating low-rank optimization methods with overrelaxation. - Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi:
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning. - Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane:
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks. - Tyler Cody:
Mesarovician Abstract Learning Systems. - Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi:
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. - Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer:
Deep Decomposition for Stochastic Normal-Abnormal Transport. - Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin:
Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes. - Riya Tyagi, Tanish Tyagi, Ming Wang, Lujin Zhang:
Machine Learning for Real-Time, Automatic, and Early Diagnosis of Parkinson's Disease by Extracting Signs of Micrographia from Handwriting Images. - Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan:
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning. - Ali Cem, Siqi Yan, Uiara Celine de Moura, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs. - Nikita Zeulin, Olga Galinina, Nageen Himayat, Sergey Andreev, Robert W. Heath Jr.:
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning. - Mihai Oltean:
Solving classification problems using Traceless Genetic Programming. - Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. - Matan Levy, Rami Ben-Ari, Dani Lischinski:
Classification-Regression for Chart Comprehension. - Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang:
Semi-supervised Implicit Scene Completion from Sparse LiDAR. - Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim:
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. - Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma:
Coarse-To-Fine Incremental Few-Shot Learning. - Martin Kolár:
On formally undecidable propositions in nondeterministic languages. - Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel:
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. - Omri Avrahami, Dani Lischinski, Ohad Fried:
Blended Diffusion for Text-driven Editing of Natural Images. - Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. - Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi:
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. - Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin:
End-to-End Referring Video Object Segmentation with Multimodal Transformers. - Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo:
Vector Quantized Diffusion Model for Text-to-Image Synthesis. - Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien P. C. Valentin:
Learning to Fit Morphable Models. - Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Latent Transformations via NeuralODEs for GAN-based Image Editing. - Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen:
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. - Dongfang Zhao:
Nonparametric Topological Layers in Neural Networks. - Mithun Das, Somnath Banerjee, Punyajoy Saha:
Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach. - Jiayi Pan, Weiwen Wu, Zhifan Gao, Heye Zhang:
MIST-net: Multi-domain Integrative Swin Transformer network for Sparse-View CT Reconstruction. - Ted Fujimoto, Arthur Paul Pedersen:
Adversarial Attacks in Cooperative AI. - Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-supervised Autoregressive Domain Adaptation for Time Series Data. - Junhao Xu, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng:
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers. - Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris:
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks. - Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed:
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. - Hamed Farkhari, Joseanne Viana, Luís Miguel Campos, Pedro Sebastião, Rodolfo Oliveira, Luís Bernardo:
PCA-based Category Encoder for Categorical to Numerical Variable Conversion. - Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds. - Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido, Pierre Tandeo:
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. - Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. - Matthew J. Colbrook, Alex Townsend:
Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems. - Wei-Hong Li, Xialei Liu, Hakan Bilen:
Learning Multiple Dense Prediction Tasks from Partially Annotated Data. - Jason Yan, Melanie D. Sage, Seventy F. Hall, Yuhao Du, Kenneth Joseph:
A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt. - Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska:
Bounding the Last Mile: Efficient Learned String Indexing. - Wesley J. Maddox, Qing Feng, Maximilian Balandat:
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization. - Jan Voltaire Vergara, Maria Y. Rodriguez, Ehren Dohler, Jonathan Phillips, Melissa Villodas, Amy Blank Wilson, Kenneth Joseph:
Promises and Pitfalls of a New Early Warning System for Gentrification in Buffalo, NY. - Jialu Bao, Marco Gaboardi, Justin Hsu, Joseph Tassarotti:
A Separation Logic for Negative Dependence. - Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. - Felix Morsbach, Tobias Dehling, Ali Sunyaev:
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design. - Zhongkai Shangguan, Zihe Zheng, Lei Lin:
Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data. - Janelle Domantay:
How Facial Features Convey Attention in Stationary Environments. - Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang:
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. - S. Ece Ada, M. Yunus Seker, Pinar Yanardag:
GAN-CNMP: An Interactive Generative Drawing Tool. - Weihan Li, Haotian Zhang, Bruis van Vlijmen, Philipp Dechent, Dirk Uwe Sauer:
Forecasting battery capacity and power degradation with multi-task learning. - Abhinav Garg, Naman Shukla, Lavanya Marla, Sriram Somanchi:
Distribution Shift in Airline Customer Behavior during COVID-19. - Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Morph Detection Enhanced by Structured Group Sparsity. - Hongrong Ouyang, Hengfeng Wei, Yu Huang, Haixiang Li, Anqun Pan:
Verifying Transactional Consistency of MongoDB. - Willow Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe:
An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs. - Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj:
Image denoising by Super Neurons: Why go deep? - Ryan Louie, Jesse H. Engel, Cheng-Zhi Anna Huang:
Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces. - Shih-Chun Lin, Chia-Hung Lin:
Privacy-Preserving Serverless Edge Learning with Decentralized Small Data. - Pravin Gaikwad, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque:
Third-Party Hardware IP Assurance against Trojans through Supervised Learning and Post-processing. - Yuren Sun, Tatiana Midori Maeda, Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón, Zuzana Burivalova:
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks. - Kevin Green, Nils Smit-Anseeuw, Rodney Gleason, C. David Remy:
Design and Control of a Recovery System for Legged Robots. - Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp:
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. - Bruno Pasqualotto Cavalar, Zhenjian Lu:
Algorithms and Lower Bounds for Comparator Circuits from Shrinkage. - Ali Khodadadi, Soroush Ghandiparsi, Chen-Nee Chuah:
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports. - Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon:
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. - Mike Hector, Kevin Green, Burak Sencer, Jonathan W. Hurst:
Ankle Torque During Mid-Stance Does Not Lower Energy Requirements of Steady Gaits. - Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca:
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis. - Parker C. Lusk, Ronak Roy, Kaveh Fathian, Jonathan P. How:
MIXER: A Principled Framework for Multimodal, Multiway Data Association. - Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven:
Bayesian Optimization for auto-tuning GPU kernels. - Niki Hrovatin, Aleksandar Tosic, Michael Mrissa, Jernej Vicic:
A General Purpose Data and Query Privacy Preserving Protocol for Wireless Sensor Networks. - Jack Ziegler, Ryan M. McGranaghan:
Harnessing expressive capacity of Machine Learning modeling to represent complex coupling of Earth's auroral space weather regimes. - Jon Donnelly, Alina Jade Barnett, Chaofan Chen:
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. - Letian Fu, Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Jeffrey Ichnowski, Eugen Solowjow, Ken Goldberg:
LEGS: Learning Efficient Grasp Sets for Exploratory Grasping. - Masoud Arash, Ivan Stupia, Luc Vandendorpe:
Real-Time CRLB based Antenna Selection in Planar Antenna Arrays. - Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim:
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks. - Zanyar Zohourianshahzadi, Jugal K. Kalita:
Neural Attention for Image Captioning: Review of Outstanding Methods. - Brian Yan, Chunlei Zhang, Meng Yu, Shi-Xiong Zhang, Siddharth Dalmia, Dan Berrebbi, Chao Weng, Shinji Watanabe, Dong Yu:
Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization. - Songyang Zhang, Qinwen Deng, Zhi Ding:
Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks. - Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu:
US-Rule: Discovering Utility-driven Sequential Rules. - Taha Azzaoui:
Georacle: Enabling Geospatially Aware Smart Contracts. - Suvadeep Banerjee, Steve Burns, Pasquale Cocchini, Abhijit Davare, Shweta Jain, Desmond Kirkpatrick, Anton Sorokin, Jin Yang, Zhenkun Yang:
A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration. - Wensheng Gan, Lili Chen, Shicheng Wan, Jiahui Chen, Chien-Ming Chen:
Anomaly Rule Detection in Sequence Data. - Cezary Adamczyk, Adrian Kliks:
Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network. - Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff:
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. - Yunhui Guo, Haoran Guo, Stella X. Yu:
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. - Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt:
Living-Off-The-Land Command Detection Using Active Learning. - Deepan Muthirayan, Jianjun Yuan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Learning for Receding Horizon Control with Provable Regret Guarantees. - Hengjie Yang, Minghao Pan, Amaael Antonini, Richard D. Wesel:
Sequential Transmission Over Binary Asymmetric Channels With Feedback. - Yusheng Wang, Yidong Lou, Yi Zhang, Weiwei Song, Fei Huang, Zhiyong Tu, Shimin Zhang:
RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion. - Geise Santos, Marcelo M. Wanderley, Tiago Fernandes Tavares, Anderson Rocha:
A multi-sensor human gait dataset captured through an optical system and inertial measurement units. - Shayan Mohajer Hamidi, Amir Keyvan Khandani, Ehsan Bateni:
A Secure Key Sharing Algorithm Exploiting Phase Reciprocity in Wireless Channels. - Ryan Po, Adithya Pediredla, Ioannis Gkioulekas:
Adaptive Gating for Single-Photon 3D Imaging. - Stan Weixian Lei, Yuxuan Wang, Dongxing Mao, Difei Gao, Mike Zheng Shou:
AssistSR: Affordance-centric Question-driven Video Segment Retrieval. - Aman Bhargava, Alice X. Zhou, Adam Carnaffan, Steve Mann:
Deep Learning for Enhanced Scratch Input. - Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim:
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. - Naejin Kong, Kiwoong Park, Harshith Goka:
Hole-robust Wireframe Detection. - Mengjian Hua, Charles S. Peskin:
An Analysis of the Numerical Stability of the Immersed Boundary Method. - Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
Maximizing Social Welfare in Selfish Multi-Modal Routing using Strategic Information Design for Quantal Response Travelers. - Sofia Dokuka, Elizaveta Sivak, Ivan Smirnov:
Core but not peripheral online social ties is a protective factor against depression: evidence from a nationally representative sample of young adults. - Yongjeong Oh, Namyoon Lee, Yo-Seb Jeon, H. Vincent Poor:
Communication-Efficient Federated Learning via Quantized Compressed Sensing. - Jonathan Hans Soeseno, Ying-Sheng Luo, Trista Pei-Chun Chen, Wei-Chao Chen:
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments. - Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. - Yu Zeng, Zhe Lin, Vishal M. Patel:
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches. - Yue Hao, Peiwen J. Ma, Huaishu Peng, Edwin Alexander Peraza Hernandez, Jyh-Ming Lien:
Metal Blossom: Laser Forming Complex and Freeform Metal Structures Imitating Flower Blooming. - Shan Sun, Mariam Kiran, Wei Ren:
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering. - Yunhui He:
A novel multigrid method for elliptic distributed control problems. - Benoit Dherin, Michael Munn, David G. T. Barrett:
The Geometric Occam's Razor Implicit in Deep Learning. - Wangchunshu Zhou, Qifei Li, Chenle Li:
Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description. - Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu:
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs. - Borui Li, Wei Dong:
Technical Report: Edge-centric Programming for IoT Applications with EdgeProg. - Tristan Milne, Étienne Bilocq, Adrian I. Nachman:
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees. - Qiongge Li, Jean Wright, Russell Hales, K. Ranh Voong, Todd McNutt:
A novel data-driven algorithm to predict anomalous prescription based on patient's feature set. - Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. - Benting Wan, Juelin Huang, Xi Chen:
Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making. - Ibrahim Al-Nahhal, Octavia A. Dobre, Ertugrul Basar, Telex Magloire Nkouatchah Ngatched, Salama Ikki:
Reconfigurable Intelligent Surface Optimization for Uplink Sparse Code Multiple Access. - Mrinal Kanti Dhar, Zeyun Yu:
Automatic tracing of mandibular canal pathways using deep learning. - Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani:
AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. - Sandro Lombardi, Bangbang Yang, Tianxing Fan, Hujun Bao, Guofeng Zhang, Marc Pollefeys, Zhaopeng Cui:
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies. - Austin Lally, Robert Bain, Mazen Alotaibi:
ePose: Let's Make EfficientPose More Generally Applicable. - Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin:
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. - Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun:
Pyramid Adversarial Training Improves ViT Performance. - Xin Zhang, Xianghao Yu, Shenghui Song:
Outage and Finite-SNR DMT Analysis for IRS-aided MIMO Systems: How Large IRSs Need to Be? - Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. - Hao Yu, Jianxin Wu:
A Unified Pruning Framework for Vision Transformers. - Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim:
Anonymization for Skeleton Action Recognition. - Junaid Anees, Hao-Chun Zhang:
Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering. - Robert Bain, Mikhail Tokarev, Harsh Kothari, Rahul Damineni:
LossPlot: A Better Way to Visualize Loss Landscapes. - Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. - Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu:
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. - Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava, Avinash Sharma:
Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems. - Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: a stochastic control approach for sampling. - Jiacheng Chen, Yiming Qian, Yasutaka Furukawa:
HEAT: Holistic Edge Attention Transformer for Structured Reconstruction. - Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang:
Molecular Attributes Transfer from Non-Parallel Data. - Yize Chen, Baosen Zhang:
State-of-Charge Aware EV Charging. - Nikhil Swamy, Aseem Rastogi, Aymeric Fromherz, Denis Merigoux, Danel Ahman, Guido Martínez:
SteelCore: An Extensible Concurrent Separation Logic for Effectful Dependently Typed Programs. - Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian A. Scherer:
AirObject: A Temporally Evolving Graph Embedding for Object Identification. - Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert:
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. - Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan:
gCastle: A Python Toolbox for Causal Discovery. - Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency. - Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu:
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. - Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang:
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. - Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Hiroshi Ishiguro:
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer. - Jiyi Zhang, Wesley Joon-Wie Tann, Ee-Chien Chang:
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users. - Bang Yang, Yuexian Zou:
CLIP Meets Video Captioners: Attribute-Aware Representation Learning Promotes Accurate Captioning. - Hyunjun Lim, Byeongho Yu, Yeeun Kim, Joowoong Byun, Soonpyo Kwon, Hae-Won Park, Hyun Myung:
WALK-VIO: Walking-motion-Adaptive Leg Kinematic Constraint Visual-Inertial Odometry for Quadruped Robots. - Jay Ahn, Hari Madhu, Viet Nguyen:
Improvement in Machine Translation with Generative Adversarial Networks. - Nikhil Bansal, Christian Coester:
Online metric allocation. - Seung Park, Yong-Goo Shin:
Generative Convolution Layer for Image Generation. - Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu:
CRIS: CLIP-Driven Referring Image Segmentation. - Moonjung Eo, Suhyun Kang, Wonjong Rhee:
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank. - Sungguk Cha, Yooseung Wang:
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding. - Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Easy Semantification of Bioassays. - Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu:
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution. - Albert Tseng, Jennifer J. Sun, Yisong Yue:
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. - Qingyu Wang, Baojian Ma, Wei Liu, Mingzhao Lou, Mingchuan Zhou, Huanyu Jiang, Yibin Ying:
PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction. - Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. - Samira Kaviani, Amir Rahimi, Richard Hartley:
Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation. - Berkant Düzgün, Aykut Çayir, Ferhat Demirkiran, Ceyda Nur Kayha, Buket Gençaydin, Hasan Dag:
New Datasets for Dynamic Malware Classification. - Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, Renaud Marlet:
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping. - Kinshuk Sengupta, Praveen Ranjan Srivastava:
HRNET: AI on Edge for mask detection and social distancing. - Yongbin Liao, Hongyuan Zhu, Yanggang Zhang, Chuangguan Ye, Tao Chen, Jiayuan Fan:
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining. - Andrew Merrigan, Alan F. Smeaton:
Using a GAN to Generate Adversarial Examples to Facial Image Recognition. - Zhirong Ye, Xiangdong Wang, Hong Liu, Yueliang Qian, Rui Tao, Long Yan, Kazushige Ouchi:
SP-SEDT: Self-supervised Pre-training for Sound Event Detection Transformer. - Santanu Rathod, Manoj Bhadu, Abir De:
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control. - Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang:
NeRFReN: Neural Radiance Fields with Reflections. - Antonio Paolillo, Hernán Ponce de León, Thomas Haas, Diogo Behrens, Rafael Lourenco de Lima Chehab, Ming Fu, Roland Meyer:
Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models. - Lingdong Kong, Niamul Quader, Venice Erin Liong:
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation. - Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Feng Ying, Xuan Wang, Jue Wang:
Hallucinated Neural Radiance Fields in the Wild. - Shubham Pande, Karthi Srinivasan, Suresh Balanethiram, Bhaswar Chakrabarti, Anjan Chakravorty:
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses. - Zongmin Liu:
Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making. - Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi:
Approximate Spectral Decomposition of Fisher Information Matrix for Simple ReLU Networks. - Farzeen Munir, Shoaib Azam, Unse Fatima, Moongu Jeon:
ARTSeg: Employing Attention for Thermal images Semantic Segmentation. - Kuan-Hao Huang:
DeepAL: Deep Active Learning in Python. - Kavya Govindarajan, Dhinakaran Vinayagamurthy, Praveen Jayachandran, Chester Rebeiro:
Privacy-Preserving Decentralized Exchange Marketplaces. - Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. - Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT, a generative model for image editing. - Jiaqi Xu, Siyang Song, Keerthy Kusumam, Hatice Gunes, Michel F. Valstar:
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation. - Ritesh Kumar:
Towards automatic identification of linguistic politeness in Hindi texts. - Kunyu Peng, Alina Roitberg, David Schneider, Marios Koulakis, Kailun Yang, Rainer Stiefelhagen:
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. - Bo Zhou, Yuqian Lv, Jinhuan Wang, Jian Zhang, Qi Xuan:
COREATTACK: Breaking Up the Core Structure of Graphs. - Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Bilingual Topic Models for Comparable Corpora. - Dominik Schneider, Alexander Weinert:
Towards Automated Semantic Grouping in Workflows for Multi-Disciplinary Analysis. - David Mallasén, Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Luis Piñuel, Manuel Prieto:
PERCIVAL: Open-Source Posit RISC-V Core with Quire Capability. - Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu:
Revisiting Temporal Alignment for Video Restoration. - Harsha Perera, Rashina Hoda, Rifat Ara Shams, Arif Nurwidyantoro, Mojtaba Shahin, Waqar Hussain, Jon Whittle:
The Impact of Considering Human Values during Requirements Engineering Activities. - Tobias Thommes, Niels Buwen, Andreas Grübl, Eric Müller, Ulrich Brüning, Johannes Schemmel:
BrainScaleS Large Scale Spike Communication using Extoll. - Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen D. Guo, Kannan Achan:
Generating Rich Product Descriptions for Conversational E-commerce Systems. - Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna, Onay Urfalioglu, Alois C. Knoll:
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation. - Abrar S. Alhazmi, Sanaa H. Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optical Wireless Sytems for Spine and Leaf Data Center Downlinks. - Haleh Hayati, Carlos Murguia, Nathan van de Wouw:
Gaussian Mechanisms Against Statistical Inference: Synthesis Tools. - Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu:
Deep Auto-encoder with Neural Response. - Yunfei Teng, Jing Wang, Anna Choromanska:
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. - Michael Strecke, Jörg Stückler:
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes. - Valentina Castiglioni, Michele Loreti, Simone Tini:
A framework to measure the robustness of programs in the unpredictable environment. - Ritesh Kumar:
Challenges in Developing LRs for Non-Scheduled Languages: A Case of Magahi. - Donatella Bongiorno, Lucian C. Coroianu:
Uniform convergence for sequences of best Lp approximation. - Xiangyu Gao, Jianzhong Li, Dongjing Miao:
Sublinear-time Reductions for Big Data Computing. - Omar ElAssy, Rik de Vendt, Fabiano Dalpiaz, Sjaak Brinkkemper:
Towards Ontological Conversation Interpretation: A Method for Ontology Creation from Medical Guidelines. - Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson:
RadioWeaves for Extreme Spatial Multiplexing in Indoor Environments. - Sara Atito Ali Ahmed, Muhammad Awais, Ammarah Farooq, Zhenhua Feng, Josef Kittler:
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning. - Georg Bökman, Fredrik Kahl, Axel Flinth:
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. - Allard Oelen, Markus Stocker, Sören Auer:
SmartReviews: Towards Human- and Machine-actionable Representation of Review Articles. - Praveen Venkatesh, Rwik Rana, Harish PM:
Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning. - Yukiko Osawa, Kei Kase, Yukiyasu Domae, Yoshiyuki Furukawa, Abderrahmane Kheddar:
Material Classification Using Active Temperature Controllable Robotic Gripper. - William E. Carson IV, Dmitry Yu. Isaev, Samantha Major, Guillermo Sapiro, Geraldine Dawson, David E. Carlson:
Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers. - Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu:
Overcoming limited battery data challenges: A coupled neural network approach. - Bruno Courcelle:
Induced betweenness in order-theoretic trees. - Xingxun Jiang, Yuan Zong, Wenming Zheng:
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition. - Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu:
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. - Abdullah Hamdi, Silvio Giancola, Bernard Ghanem:
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding. - Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna:
AI and the Everything in the Whole Wide World Benchmark. - Shervin Dehghani, Michael Sommersperger, Junjie Yang, Benjamin Busam, Kai Huang, Peter Gehlbach, Iulian Iordachita, Nassir Navab, M. Ali Nasseri:
ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System. - Shinji Yamada, Kazuhiro Hotta:
Reconstruction Student with Attention for Student-Teacher Pyramid Matching. - Kaustav Dey, A. M. Kulkarni:
Passivity of Electrical Transmission Networks modelled using Rectangular and Polar D-Q variables. - Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson:
Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO. - Loc Hoang Tran, Tuan Tran, An Mai:
Text classification problems via BERT embedding method and graph convolutional neural network. - Changjun He, Xiuqiang He, Hua Geng:
Transient Stability of Low-Inertia Power Systems with Inverter-Based Generation. - Piotr Januszewski, Mateusz Olko, Michal Królikowski, Jakub Swiatkowski, Marcin Andrychowicz, Lukasz Kucinski, Piotr Milos:
Continuous Control With Ensemble Deep Deterministic Policy Gradients. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
A Combinatorial Approach to Flag Codes. - Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal:
NeuralProphet: Explainable Forecasting at Scale. - Sadok Ben Toumia, Christian Berger, Hans P. Reiser:
Evaluating Blockchain Application Requirements and their Satisfaction in Hyperledger Fabric. - Shangwei Guo, Jun Li, Zhengchao Lai, Xiantong Meng, Shaokun Han:
CT-block: a novel local and global features extractor for point cloud. - Akash Sengupta, Ignas Budvytis, Roberto Cipolla:
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model. - Thomas Chaffey, Rodolphe Sepulchre:
Monotone one-port circuits. - Dmytro Kalpakchi, Johan Boye:
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers. - Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. - Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi:
Establishing the Price of Privacy in Federated Data Trading. - Una M. Kelly, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
A Face Recognition System's Worst Morph Nightmare, Theoretically. - Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. - Robert Nürnberg:
A structure preserving front tracking finite element method for the Mullins-Sekerka problem. - Vesa Halava:
Undecidability in Finite Transducers, Defense Systems and Finite Substitutions. - Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. - Florian Kammüller, Chelsea Mira Alvarado:
Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders. - Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. - Antti Hyttinen, Vitória Barin Pacela, Aapo Hyvärinen:
Binary Independent Component Analysis via Non-stationarity. - Tommaso Barbariol, Gian Antonio Susto:
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios. - Angelos Gkikas, Tomasz Radzik:
Servicing Timed Requests on a Line. - Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama:
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers. - Jatin Kumar, Indra Deep Mastan, Shanmuganathan Raman:
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks. - Konstantinos Panagiotou, Simon Reisser:
The Effect of Iterativity on Adversarial Opinion Forming. - Jinyin Chen, Haiyang Xiong, Dunjie Zhang, Zhenguang Liu, Jiajing Wu:
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors. - Qiuyu Zhu, Xuewen Zu:
A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for CNN Classifier. - Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera:
Large-Scale Video Analytics through Object-Level Consolidation. - Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, Veronika Eyring:
On the Generalization of Agricultural Drought Classification from Climate Data. - Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li:
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. - Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka:
Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages. - Jiazhong Cen, Zenkun Jiang, Lingxi Xie, Qi Tian, Xiaokang Yang, Wei Shen:
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes. - Yi Guo, Fang Fang, Donghong Cai, Zhiguo Ding:
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning. - Vladislav Tishin, Artyom Sosedka, Peter Ibragimov, Vadim Porvatov:
Citation network applications in a scientific co-authorship recommender system. - Giampaolo Bella, Pietro Biondi, Giuseppe Tudisco:
Car drivers' privacy concerns and trust perceptions. - Pietro Biondi, Stefano Bognanni, Giampaolo Bella:
VoIP Can Still Be Exploited - Badly. - Andrew Kiruluta, Andreas Lemos, Eric Lundy:
New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model. - Yujie Zhang:
Natural Scene Text Editing Based on AI. - Zirui Wen, Ruisi He, Bo Ai, Chen Huang, Mi Yang, Zhangdui Zhong:
A Scheme of Channel Prediction Based on Artificial Neural Network. - Yury Elkin, Vitaliy Kurlin:
A new compressed cover tree guarantees a near linear parameterized complexity for all $k$-nearest neighbors search in metric spaces. - Uche A. Nnolim:
Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement. - Ryonosuke Yamada, Yukiko Yamauchi:
Search by a Metamorphic Robotic System in a Finite 3D Cubic Grid. - Wamiq Raza, Anas Osman, Francesco Ferrini, Francesco G. B. De Natale:
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs. - Duolikun Danier, Fan Zhang, David Bull:
Spatio-Temporal Multi-Flow Network for Video Frame Interpolation. - Nikolaos Dionelis:
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection. - Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang:
FENeRF: Face Editing in Neural Radiance Fields. - Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss, Friedrich Fraundorfer:
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images. - Sai Santosh Dayapule, Kathy Nguyen, Gregory Kahl, Suresh Subramaniam, Guru Venkataramani:
Popcorns-Pro: A Cooperative Network-Server Approach for Data Center Energy Optimization. - Paul Houston, Connor J. Rourke, Kristoffer G. van der Zee:
Linearisation of the Travel Time Functional in Porous Media Flows. - Winfried Auzinger, Lukas Einramhof, Karsten Held, Anna Kauch, Othmar Koch, Clemens Watzenböck, Ewa Weinmüller:
Efficient Adaptive Computation of the Dynamics of Mott Transistors. - Joan Garriga, Frederic Bartumeus:
Towards a comprehensive visualization of structure in data. - Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis:
Regularized directional representations for medical image registration. - Manasi Muglikar, Guillermo Gallego, Davide Scaramuzza:
ESL: Event-based Structured Light. - Betty van Aken, Sebastian Herrmann, Alexander Löser:
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models. - Michael Schelling, Pedro Hermosilla, Timo Ropinski:
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. - Xiaoteng Zhou, Changli Yu, Xin Yuan, Haijun Feng, Yang Xu:
Nonlinear Intensity Underwater Sonar Image Matching Method Based on Phase Information and Deep Convolution Features. - Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti:
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images. - Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain:
Node-Level Differentially Private Graph Neural Networks. - Prateek Chanda, Aadirupa Saha:
A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams. - Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu:
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks. - Luca Ferrarini:
Facets of the Total Matching Polytope for bipartite graphs. - Salvatore Citraro, Letizia Milli, Rémy Cazabet, Giulio Rossetti:
Δ-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs. - Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu:
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning. - Yichao Lu:
Learning to Transfer for Traffic Forecasting via Multi-task Learning. - Byol Kim, Rina Foygel Barber:
Black box tests for algorithmic stability. - Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian:
NeuSample: Neural Sample Field for Efficient View Synthesis. - Qiming Hu, Xiaojie Guo:
Low-light Image Enhancement via Breaking Down the Darkness. - Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson:
Distributed Computation of A Posteriori Bit Likelihood Ratios in Cell-Free Massive MIMO. - Aili Shao:
Discontinuous Galerkin discretization in time of systems of second-order nonlinear hyperbolic equations. - Aleixo Cambeiro Barreiro, Clemens Seibold, Anna Hilsmann, Peter Eisert:
Automated Damage Inspection of Power Transmission Towers from UAV Images. - Uladzislau Yorsh, Alexander Kovalenko:
Pureformer: Do We Even Need Attention? - Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen, Katherine McDonough:
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale. - Ananth Balashankar, Lakshminarayanan Subramanian, Samuel P. Fraiberger:
Fine-grained prediction of food insecurity using news streams. - Xinru Hua, Huanzhong Xu, Jose H. Blanchet, Viet Nguyen:
Human Imperceptible Attacks and Applications to Improve Fairness. - Liang Pan, Zhongang Cai, Ziwei Liu:
Robust Partial-to-Partial Point Cloud Registration in a Full Range. - Philipp Dominic Siedler:
The Power of Communication in a Distributed Multi-Agent System. - Chintan Tundia, Rajiv Kumar, Om P. Damani, G. Sivakumar:
The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks. - Larissa T. Triess, David Peter, J. Marius Zöllner:
Semi-Local Convolutions for LiDAR Scan Processing. - Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin:
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models. - William Reese, Arvind K. Saibaba, Jonghyun Lee:
Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions. - Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin:
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches. - Aurélio Ribeiro Costa:
Towards Modularity Optimization Using Reinforcement Learning to Community Detection in Dynamic Social Networks. - Sailun Xu, Jiazhi Zhang, Jiamei Liu:
Image Style Transfer and Content-Style Disentanglement. - Sanskar Soni, Dev Mehta, Vinush Vishwanath, Aditi Seetha, Satyendra Singh Chouhan:
DiPD: Disruptive event Prediction Dataset from Twitter. - Tomilayo Komolafe, Allan Fong, Srijan Sengupta:
Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases. - Ngoc Mai Tran, Yangxinyu Xie:
Improving random walk rankings with feature selection and imputation. - Libo Wang, Yuechi Yang, Rui Li:
BuildFormer: Automatic building extraction with vision transformer. - Benedikt Höltgen, Lisa Schut, Jan Markus Brauner, Yarin Gal:
DeDUCE: Generating Counterfactual Explanations Efficiently. - Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn:
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation. - Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams:
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition. - Griffin Floto, Stefan Kremer, Mihai Nica:
Exponentially Tilted Gaussian Prior for Variational Autoencoder. - Stuart Synakowski, Fabian Benitez-Quiroz, Aleix M. Martínez:
Leveraging The Topological Consistencies of Learning in Deep Neural Networks. - Deepti Hegde, Vishal M. Patel:
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection. - J. L. Domenech-Garret, C. Marin-Ferrer:
Numerical solution of several second-order ordinary differential equations containing logistic maps as nonlinear coefficients. - Ajda Pretnar Zagar, Tomaz Hocevar, Tomaz Curk:
Open Data and Quantitative Techniques for Anthropology of Road Traffic. - Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
HOTTBOX: Higher Order Tensor ToolBOX. - Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
Donut: Document Understanding Transformer without OCR. - Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit H. Bermano:
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing. - Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall:
ATS: Adaptive Token Sampling For Efficient Vision Transformers. - Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim:
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. - Manuel Rey-Area, Mingze Yuan, Christian Richardt:
360MonoDepth: High-Resolution 360° Monocular Depth Estimation. - Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
Unsupervised Domain Adaptation: A Reality Check. - Martin Kocour, Katerina Zmolíková, Lucas Ondel, Jan Svec, Marc Delcroix, Tsubasa Ochiai, Lukás Burget, Jan Cernocký:
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model. - Sharath Adavanne, Archontis Politis, Tuomas Virtanen:
Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers. - Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan:
Neural Networks as Kernel Learners: The Silent Alignment Effect. - Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time detection of anomalies in large-scale transient surveys. - Shoaib Bin Masud, Shuchin Aeron:
Learning generative models for valid knockoffs using novel multivariate-rank based statistics. - Shoaib Bin Masud, Shuchin Aeron:
Robust and efficient change point detection using novel multivariate rank-energy GoF test. - Mumtaz Hussain Soomro, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh, Jeffrey V. Siebers:
DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy. - Lucilio Cordero-Grande, Juan Enrique Ortuño Fisac, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María-Jesus Ledesma-Carbayo:
Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction. - Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel:
High-dimensional multi-trait GWAS by reverse prediction of genotypes. - Arun Narayanan, Chung-Cheng Chiu, Tom O'Malley, Quan Wang, Yanzhang He:
Cross-attention conformer for context modeling in speech enhancement for ASR. - Nina Deliu, Joseph Jay Williams, Sofia S. Villar:
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling. - Wen-Long Li, Guofeng Zhang, Re-Bing Wu:
On the Control of Flying Qubits. - Qing Liu, Haotian Liu, Yixiong Liang:
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images. - Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal:
Unpaired Learning for High Dynamic Range Image Tone Mapping. - Jaideep Mulherkar, Rishikant Rajdeepak, V. Sunitha:
Quantum simulation of perfect state transfer on weighted cubelike graphs. - Qingchun Li, Jiasong Wu, Yilun Kong, Chunfeng Yang, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu:
Speech Denoising Using Only Single Noisy Audio Samples. - Qingyun Fang, Dapeng Han, Zhaokui Wang:
Cross-Modality Fusion Transformer for Multispectral Object Detection. - Midia Yousefi, John H. L. Hansen:
Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network. - Midia Yousefi, John H. L. Hanse:
Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition. - Haitz Sáez de Ocáriz Borde, David Sondak, Pavlos Protopapas:
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow. - Fangzhou Luo, Xiaolin Wu, Yanhui Guo:
Functional Neural Networks for Parametric Image Restoration Problems. - Yuzhuo Ren, Braeden Syrnyk, Niranjan Avadhanam:
Dual Attention Network for Heart Rate and Respiratory Rate Estimation. - Qi Gao, Hongtao Lin, Han Tu, Haoran Zhu, Runjie Wei, Guoping Zhang, Xueming Shao:
A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded. - Jintai Ding, Vlad Gheorghiu, András Gilyén, Sean Hallgren, Jianqiang Li:
Limitations of the Macaulay matrix approach for using the HHL algorithm to solve multivariate polynomial systems. - Mohammad Khosravi, Roy S. Smith:
Kernel-Based Identification with Frequency Domain Side-Information. - Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda:
IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration. - Jechiel Van Dijk, Emil Prodan:
Vertex Lattice Models Simulated with Quantum Circuits. - Alexander Shen:
Gács-Kučera's Theorem Revisited by Levin. - Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. - Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. - Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: optimising attention for biomedical image segmentation. - Xiangyu Gao, Hui Liu, Sumit Roy, Guanbin Xing, Ali Alansari, Youchen Luo:
Learning to Detect Open Carry and Concealed Object with 77GHz Radar. - Kamyar Moshksar:
On The Absolute Constant in Hanson-Wright Inequality. - Eduardo Pavez:
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency. - Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand:
TorchXRayVision: A library of chest X-ray datasets and models. - Saskia Dietze, Martin A. Grepl:
Reduced Order Model Predictive Control for Parametrized Parabolic Partial Differential Equations. - Tomoharu Iwata:
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization. - Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Self-Verification in Image Denoising. - Ranjana Roy Chowdhury, Deepti R. Bathula:
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. - Ruixuan Zhao, Xin He, Junhui Wang:
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes. - Md Mahfuzur Rahman Siddiquee, Andriy Myronenko:
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs. - Agnimitra Dasgupta, Zichao Wendy Di:
Uncertainty quantification for ptychography using normalizing flows. - Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. - Jacob R. Goodman, Juan S. Cely, Thomas Beckers, Leonardo J. Colombo:
Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables. - Bora Keskin, David Simchi-Levi, Prem Talwai:
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach. - Stefano Gherardini, Henk J. van Waarde, Pietro Tesi, Filippo Caruso:
Topology identification of autonomous quantum dynamical networks. - Alex Kolmus, Grégory Baltus, Justin Janquart, Twan van Laarhoven, Sarah Caudill, Tom Heskes:
Swift sky localization of gravitational waves using deep learning seeded importance sampling. - Muhammad Ilyas Patel, Shrey Singla, Razeem Ahmad Ali Mattathodi, Sumit Sharma, Deepam Gautam, Srinivasa Rao Kundeti:
Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM. - Reda Chhaibi, Tariq Daouda, Ezechiel Kahn:
Free Probability, Newton lilypads and Jacobians of neural networks. - Olga G. Parshina, Svetlana Puzynina:
Finite and infinite closed-rich words. - Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm:
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization. - Malik Tiomoko, Romain Couillet, Frédéric Pascal:
PCA-based Multi Task Learning: a Random Matrix Approach. - Miha Gunde, Nicolas Salles, Anne Hémeryck, Layla Martin-Samos:
IRA: A shape matching approach for recognition and comparison of generic atomic patterns. - Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord:
Robustness of deep learning algorithms in astronomy - galaxy morphology studies. - Filipe Bellio, Ronaldo Garcia, Dan Reznik:
Properties of Parabola-Inscribed Poncelet Polygons. - Alexander J. M. Kell:
Modelling the transition to a low-carbon energy supply. - Ruiwen Dong, Christian Goodbrake, Heather A. Harrington, Gleb Pogudin:
Computing input-output projections of dynamical models with applications to structural identifiability. - Benson Chen, Xiang Fu, Regina Barzilay, Tommi S. Jaakkola:
Fragment-based Sequential Translation for Molecular Optimization. - Ivan V. Kozitsin:
Linking theory and empirics: a general framework to model opinion formation processes. - Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler:
Interpretable and Explainable Machine Learning for Materials Science and Chemistry. - Kfir Y. Levy, Ali Kavis, Volkan Cevher:
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization. - Gabriel Gouvine:
Mixed-Integer Programming for the ROADEF/EURO 2020 challenge. - Ke Li, Yongsheng Yao:
Exponent in Smoothing the Max-Relative Entropy and Its Application to Quantum Privacy Amplification. - Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes:
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. - Benjamin J. Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, Manolis Kellis:
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters. - Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, René van Egmond, Huib de Ridder, Marius Staring:
Comparing Bayesian Models for Organ Contouring in Headand Neck Radiotherapy. - Ananda Chatterjee, Hrisav Bhowmick, Jaydip Sen:
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models. - Shumon Koga, Miroslav Krstic:
Safe PDE Backstepping QP Control with High Relative Degree CBFs: Stefan Model with Actuator Dynamics. - Jas Semrl:
Finite Representation Property for Relation Algebra Reducts. - Nima S. Hejazi, Wenjing Zheng, Sathya Anand:
A framework for causal segmentation analysis with machine learning in large-scale digital experiments. - Yeongwoo Hwang, Joe Neeman, Ojas Parekh, Kevin Thompson, John Wright:
Unique Games hardness of Quantum Max-Cut, and a vector-valued Borell's inequality. - Arman Adibi, Aryan Mokhtari, Hamed Hassani:
Minimax Optimization: The Case of Convex-Submodular. - Navjyoth Sarma JS, Michael F. Hyland:
Quantifying Shareability in Transportation Networks: The Maximum Network Flow Overlap Problem. - Samuel J. Jackson, Yufu Niu, Sojwal Manoorkar, Peyman Mostaghimi, Ryan T. Armstrong:
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modelling. - Christopher J. Cueva, Adel Ardalan, Misha Tsodyks, Ning Qian:
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes. - Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu, Iroro Orife, Kelian Li, Pavan Seshadri, Junyoung Lee:
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence. - Peter Wu, Jiatong Shi, Yifan Zhong, Shinji Watanabe, Alan W. Black:
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity. - Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. - Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Convex Lipschitz Regression via 2-block ADMM. - Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert, Steven K. Boyd:
Constructing High-Order Signed Distance Maps from Computed Tomography Data with Application to Bone Morphometry. - Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. - Sloan Nietert, Rachel Cummings, Ziv Goldfeld:
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis. - Raghavendra Bhat:
A Game of Primes. - Yi Luo, Deniz Mengu, Aydogan Ozcan:
Cascadable all-optical NAND gates using diffractive networks. - Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell:
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. - Magdalena Larfors, André Lukas, Fabian Ruehle, Robin Schneider:
Learning Size and Shape of Calabi-Yau Spaces. - Benjamin Wesolowski:
The supersingular isogeny path and endomorphism ring problems are equivalent. - Muhammad Zaida, Shafaqat Ali, Mohsen Ali, Sarfaraz Hussein, Asma Saadia, Waqas Sultani:
Out of distribution detection for skin and malaria images. - Miao Qi, Yuqi Li, Wolfgang Heidrich:
ISP-Agnostic Image Reconstruction for Under-Display Cameras. - Jhouben Cuesta-Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière:
A comparison of mixed-variables Bayesian optimization approaches. - Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. - Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho:
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. - Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. - Kai Yao, Kaizhu Huang, Jie Sun, Amir Hussain, Curran Jude:
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild. - Wei Zhou, Xin He, Wei Zhong, Junhui Wang:
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers. - Jayanthi Sivaswamy, Alphin J. Thottupattu, Mythri V, Raghav Mehta, R. Sheelakumari, Chandrasekharan Kesavadas:
Sub-cortical structure segmentation database for young population. - Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller:
Evaluating deep transfer learning for whole-brain cognitive decoding. - Daichi Kitahara, Kohei Yatabe:
Design of Tight Minimum-Sidelobe Windows by Riemannian Newton's Method. - Aman Chandra, Jitesh Lalwani, Babita Jajodia:
Towards an Optimal Hybrid Algorithm for EV Charging Stations Placement using Quantum Annealing and Genetic Algorithms. - Ivonne Callejas, Srihari Govindan, Lucas Pahl:
A Finite Characterization of Perfect Equilibria. - Lucas Pahl:
Information Spillover in Multiple Zero-sum Games. - Shulin Wen, Nguyen Duy Hai, Miqing Wang, Woon-Seng Gan:
Design and Evaluation of Active Noise Control on Machinery Noise. - Awadelrahman M. A. Ahmed, Leen A. M. Ali:
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation. - Ahmet Orun, Fatih Kurugollu:
Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC). - Jinyu Li:
Recent Advances in End-to-End Automatic Speech Recognition. - Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. - Xin Chen, Yujie Tang, Na Li:
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. - Sebastian Ribecky, Jakob Abeßer, Hanna M. Lukashevich:
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity. - Michael J. Smith, James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau:
Realistic galaxy image simulation via score-based generative models. - William J. Wilkinson, Simo Särkkä, Arno Solin:
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. - Zhenbang Wang, Emanuel Ben-David, Martin Slawski:
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group. - Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain:
Nearly Optimal Algorithms for Level Set Estimation. - Matthieu Nadini, Alberto Bracci, Abeer ElBahrawy, Philip Gradwell, Alexander Teytelboym, Andrea Baronchelli:
Emergence and structure of decentralised trade networks around dark web marketplaces. - Anna Guitart, Afsaneh Heydari, Eniola Olaleye, Jelena Ljubicic, Ana Fernández del Río, África Periáñez, Lauren Bellhouse:
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries. - Alec Kirkley:
Spatial regionalization as optimal data compression. - Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. - Alphan Sahin, Bryson Everette, Safi Shams Muhtasimul Hoque:
Distributed Learning over a Wireless Network with FSK-Based Majority Vote. - Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3-D PET Image Generation with tumour masks using TGAN. - Christian Bayer, Chiheb Ben Hammouda, Raúl Tempone:
Numerical Smoothing with Hierarchical Adaptive Sparse Grids and Quasi-Monte Carlo Methods for Efficient Option Pricing. - Tikhon Pshenitsyn:
Cyclic Shift in the Lambek Calculus. - Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. - Aditya Nandy, Chenru Duan, Heather J. Kulik:
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery. - Nils L. Westhausen, Rainer Huber, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer:
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks. - Mehdi Molkaraie:
Duality for Continuous Graphical Models. - Fady Aziz, Omar Metwally, Pascal Weller, Urs Schneider, Marco F. Huber:
A MIMO Radar-Based Metric Learning Approach for Activity Recognition. - Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu:
PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism. - Marco Simonetti, Damiano Perri, Natale Amato, Osvaldo Gervasi:
Teaching Math with the help of Virtual Reality. - Hyunsu Lee:
The effect of synaptic weight initialization in feature-based successor representation learning. - Juho Timonen, Harri Lähdesmäki:
Scalable mixed-domain Gaussian processes. - Joel David Hamkins, Davide Leonessi:
Transfinite game values in infinite draughts. - Katerina Kaouri, Paul E. Méndez, Ricardo Ruiz-Baier:
Mechanochemical models for calcium waves in embryonic epithelia. - Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin:
Federated Expectation Maximization with heterogeneity mitigation and variance reduction. - Barbara Giunti, Guillaume Houry, Michael Kerber:
Average complexity of matrix reduction for clique filtrations. - (Withdrawn) Homoscatter: Towards efficient connectivity for ZigBee backscatter system.
- Luis Guillermo Natera Orozco, Laura Alessandretti, Meead Saberi, Michael Szell, Federico Battiston:
Multimodal urban mobility and multilayer transport networks. - Monika Dörfler, Franz Luef, Eirik Skrettingland:
Local Structure and effective Dimensionality of Time Series Data Sets. - Alexandros Syrakos, Oliver F. Oxtoby, Eugene De Villiers, Stylianos Varchanis, Yannis Dimakopoulos, John Tsamopoulos:
A unification of least-squares and Green-Gauss gradients under a common projection-based gradient reconstruction framework. - Andre Costa Batista, Ricardo Adriano, Lucas S. Batista:
EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems. - Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
From global to local MDI variable importances for random forests and when they are Shapley values. - Antonio A. D'Amico, Andrea de Jesus Torres, Luca Sanguinetti, Moe Z. Win:
Cramér-Rao Bounds for Holographic Positioning. - João Pandeirada, Miguel Bergano, Paulo Marques, Domingos Barbosa, Bruno Coelho, Valério Ribeiro, José Freitas, Domingos Nunes, José Eduardo:
A Portuguese radar tracking sensor for Space Debris monitoring. - Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal:
Learned Image Compression for Machine Perception. - Boris Galkin, Babatunji Omoniwa, Ivana Dusparic:
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points. - Lukas Weghs:
Photometric Search for Exomoons by using Convolutional Neural Networks. - Luca Coraggio, Pietro Coretto:
Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. - Abhishek K. Umrawal:
A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments. - Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth:
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. - Benita Nortmann, Thulasi Mylvaganam:
Direct data-driven control of linear time-varying systems. - Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features. - Peng Huang, Carter T. Butts:
Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study. - Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, Matthew Baas, Hugo Seuté, Herman Kamper:
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. - David Angeli, Zihang Dong, Goran Strbac:
Exact aggregate models for optimal management of heterogeneous fleets of storage devices. - Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin:
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods. - Priscilla Benedetti, Damiano Perri, Marco Simonetti, Osvaldo Gervasi, Gianluca Reali, Mauro Femminella:
Skin Cancer Classification using Inception Network and Transfer Learning. - Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang:
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. - Lucas Fidon, Michael Aertsen, Suprosanna Shit, Philippe Demaerel, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Partial supervision for the FeTA challenge 2021. - Osama Rezq Shahin, Hamdy Mohammed Kelash, Gamal Mahrous Attiya, Osama Slah Farg Allah:
Breast Cancer Classification Using: Pixel Interpolation. - Weiyuan Gong, Si Jiang, Dong-Ling Deng:
Weighted Quantum Channel Compiling through Proximal Policy Optimization. - Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore:
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation. - Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George:
Perturb-and-max-product: Sampling and learning in discrete energy-based models. - Baichuan Jiang, Alvin Chen, Shyam Bharat, Mingxin Zheng:
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning. - Karol Horodecki, Marek Winczewski, Siddhartha Das:
Fundamental limitations on device-independent quantum conference key agreement. - Dimitris K. Iakovidis, Melanie Ooi, Ye Chow Kuang, Serge Demidenko, Alexandr Shestakov, Vladimir Sinistin, Manus Henry, Andrea Sciacchitano, Stefano Discetti, Silvano Donati, Michele Norgia, Andreas Menychtas, Ilias Maglogiannis, Selina C. Wriessnegger, Luis Alberto Barradas Chacon, George Dimas, Dimitris Filos, Anthony H. Aletras, Johannes Töger, Feng Dong, Shangjie Ren, Andreas Uhl, Jacek Paziewski, Jianghui Geng, Francesco Fioranelli, Ram M. Narayanan, Carlos Fernández, Christoph Stiller, Konstantina Malamousi, Spyros Kamnis, Konstantinos Delibasis, Dong Wang, Jianjing Zhang, Robert X. Gao:
Roadmap on Signal Processing for Next Generation Measurement Systems. - Dylan Flaute, Russell C. Hardie, Hamed Elwarfalli:
Resampling and super-resolution of hexagonally sampled images using deep learning. - Neil Dey, Jing Ding, Jack Ferrell, Carolina Kapper, Maxwell Lovig, Emiliano Planchon, Jonathan P. Williams:
Conformal prediction for text infilling and part-of-speech prediction. - Salman Mohamadi, Donald A. Adjeroh:
An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data. - Simon Foucart, Chunyang Liao:
Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter? - Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang:
A control method for solving high-dimensional Hamiltonian systems through deep neural networks. - Yuanyuan Liu, Wei Zhang:
Global Controllability for General Nonlinear Systems. - Hayato Idei, Wataru Ohata, Yuichi Yamashita, Tetsuya Ogata, Jun Tani:
Sensory attenuation develops as a result of sensorimotor experience. - Matthew Baas, Herman Kamper:
Voice Conversion Can Improve ASR in Very Low-Resource Settings. - Yuanyuan Wang, Yao Zhang, Qiong He, Hongen Liao, Jianwen Luo:
A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia. - Salman Mohamadi, Gianfranco Doretto, Nasser M. Nasrabadi, Donald A. Adjeroh:
Human Age Estimation from Gene Expression Data using Artificial Neural Networks. - Evgeny Lagutin, Daniil Selikhanovych, Achille Thin, Sergey Samsonov, Alexey Naumov, Denis Belomestny, Maxim Panov, Eric Moulines:
Ex2MCMC: Sampling through Exploration Exploitation. - Chengchang Liu, Luo Luo:
Quasi-Newton Methods for Saddle Point Problems and Beyond. - Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout:
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data. - Jikai Jin, Suvrit Sra:
A Riemannian Accelerated Proximal Extragradient Framework and its Implications. - Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. - Ioannis Tsokanos:
Danzer's Problem, Effective Constructions of Dense Forests and Digital Sequences. - Hanie Barghi, Amir Najafi, Seyed Abolfazl Motahari:
Distributed Sparse Feature Selection in Communication-Restricted Networks. - T. N. Li, A. Tourin:
Optimal Pairs Trading with Time-Varying Volatility. - Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong:
Adversarial Attacks on Graph Classification via Bayesian Optimisation. - Carlos David Prado-Socorro, Silvia Giménez-Santamarina, Lorenzo Mardegan, Luis Escalera-Moreno, Henk J. Bolink, Salvador Cardona-Serra, Eugenio Coronado:
Polymer-based composites for engineering organic memristive devices. - Simon Kneer, Taraneh Sayadi, Denis Sipp, Peter J. Schmid, Georgios Rigas:
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. - Markus Fleck, Noah Weber, Christopher Trummer:
Decoupled coordinates for machine learning-based molecular fragment linking. - Diego A. Rojas:
Effective weak and vague convergence of measures on the real line. - Haoyu Tang, Louis J. Durlofsky:
Use of low-fidelity models with machine-learning error correction for well placement optimization. - Dmitriy Kunisky:
The discrepancy of unsatisfiable matrices and a lower bound for the Komlós conjecture constant. - Sandy Irani, Anand Natarajan, Chinmay Nirkhe, Sujit Rao, Henry Yuen:
Quantum search-to-decision reductions and the state synthesis problem. - Sampath Kumar Mulagaleti, Alberto Bemporad, Mario Zanon:
Computation of Input Disturbance Sets for Constrained Output Reachability. - Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar:
Graph neural network initialisation of quantum approximate optimisation. - Mehedi Hassan, Md. Enamul Haque, Mehmet Engin Tozal:
Efficacy the of Confinement Policies on the COVID-19 Spread Dynamics in the Early Period of the Pandemic. - Y. Wang, Yerbol Palzhanov, Annalisa Quaini, Maxim A. Olshanskii, Sheereen Majd:
Lipid domain coarsening and fluidity in multicomponent lipid vesicles: A continuum based model and its experimental validation. - Nikolai Miklin, Mariami Gachechiladze, George Moreno, Rafael Chaves:
Causal inference with imperfect instrumental variables. - Xiaoyu Chen, Weiming Feng, Yitong Yin, Xinyuan Zhang:
Optimal Mixing Time for the Ising Model in the Uniqueness Regime. - Pablo Soto-Quiros, Anatoli Torokhti:
Extended Principal Component Analysis. - A. L. Peirson, R. W. Romani:
A deep ensemble approach to X-ray polarimetry. - Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han:
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. - Dong An, Di Fang, Lin Lin:
Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics. - Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger:
Functional connectivity ensemble method to enhance BCI performance (FUCONE). - Israel F. Araujo, Carsten Blank, Adenilton J. da Silva:
Entanglement as a complexity measure for quantum state preparation. - Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan:
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. - Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener:
Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles. - Alex Meiburg:
Inapproximability of Positive Semidefinite Permanents and Quantum State Tomography. - Adam Klukowski:
Rate of Convergence of Polynomial Networks to Gaussian Processes. - Mingao Yuan, Bin Zhao, Xiaofeng Zhao:
Community detection in censored hypergraph. - Shravas Rao:
The Fourier Transform of Restrictions of Functions on the Slice. - Yasemin Yesiltepe, Ryan S. Renslow, Thomas O. Metz:
SPECTRe: Substructure Processing, Enumeration, and Comparison Tool Resource: An efficient tool to encode all substructures of molecules represented in SMILES. - Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis:
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation. - Kevin S. Silmore, James W. Swan:
Locally Feasibly Projected Sequential Quadratic Programming for Nonlinear Programming on Arbitrary Smooth Constraint Manifolds. - Shangao Lin, Yuan Zeng, Yi Gong:
Learning of Frequency-Time Attention Mechanism for Automatic Modulation Recognition. - Virender Ranga, Shivam Gupta, Priyansh Agrawal, Jyoti Meena:
Pathological Analysis of Blood Cells Using Deep Learning Techniques. - Kentaro Ohno, Atsutoshi Kumagai:
Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation. - Yeoneung Kim, Insoon Yang, Kwang-Sung Jun:
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. - Jie Bian, Kwang-Sung Jun:
Maillard Sampling: Boltzmann Exploration Done Optimally. - Zhenxing Dong, Hong Cao, Wang Shen, Yu Gan, Yuye Ling, Guangtao Zhai, Yikai Su:
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution. - Mladen Kovacevic:
Lattice Packings of Cross-polytopes Constructed from Sidon Sets. - Hedwig Keller, Sören Bartels, Gerd Wachsmuth:
Numerical Approximation of Optimal Convex and Rotationally Symmetric Shapes for an Eigenvalue Problem arising in Optimal Insulation. - Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. - Angad Ripudaman Singh Bajwa:
Segmentation of 2D Brain MR Images. - Runsen Feng, Zongyu Guo, Zhizheng Zhang, Zhibo Chen:
Versatile Learned Video Compression. - Sivaramakrishnan Rajaraman, Gregg Cohen, Les R. Folio, Sameer K. Antani:
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays. - Ankit Singhal, Dexin Wang, Andrew P. Reiman, Yuan Liu, Donald J. Hammerstrom, Soumya Kundu:
Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads. - Neha Arora, Theophile Cabannes, Sanjay Ganapathy, Yechen Li, Preston McAfee, Marc Nunkesser, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. - Robert Jeansoulin:
Numerisation D'un Siecle de Paysage Ferroviaire Français : recul du rail, conséquences territoriales et coût environnemental. - Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin:
Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media. - Tristan Fauvel, Matthew Chalk:
Contextual Bayesian optimization with binary outputs. - Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports. - Xiao Yan, Xianghua Gan, Jingjing Tang, Rui Wang:
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting. - Xerxes D. Arsiwalla, Jonathan Gorard:
Pregeometric Spaces from Wolfram Model Rewriting Systems as Homotopy Types. - Romina Oji, Seyedeh Fatemeh Razavi, Sajjad Abdi Dehsorkh, Alireza Hariri, Hadi Asheri, Reshad Hosseini:
PerSpeechNorm: A Persian Toolkit for Speech Processing Normalization. - Zhen Su, Henning Meyerhenke, Jürgen Kurths:
The climatic interdependence of extreme-rainfall events around the globe. - Jirí Málek, Jakub Janský, Zbynek Koldovský, Tomás Kounovský, Jaroslav Cmejla, Jindrich Zdánský:
Blind Extraction of Target Speech Source Guided by Supervised Speaker Identification via X-vectors. - Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz:
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer. - Robert Cardona, Eva Miranda, Daniel Peralta-Salas:
Computability and Beltrami fields in Euclidean space. - Nabil Kahalé:
On the effective dimension and multilevel Monte Carlo. - Julian Arnold, Juan Carlos San Vicente Veliz, Debasish Koner, Narendra Singh, Raymond J. Bemish, Markus Meuwly:
Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System. - Alexandre Défossez:
Hybrid Spectrogram and Waveform Source Separation. - Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche:
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. - Giacomo De Giorgi, Matthew Harding, Gabriel F. R. Vasconcelos:
Predicting Mortality from Credit Reports. - Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier:
First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. - Sanghyeon Park, Juan Rivas-Davila:
High Voltage Generation by Fiber-Coupled Pulsed Laser for a Simple Receiver Circuit Structure. - Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky:
On Homomorphism Graphs. - Rene Garcia Franceschini, Jeffrey Liu, Saurabh Amin:
Damage Estimation and Localization from Sparse Aerial Imagery. - Ian A. Palmer, T. Nathan Mundhenk, Brian Gallagher, Yong Han:
Explaining neural network predictions of material strength. - Haohan Wang, Bryon Aragam, Eric P. Xing:
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies. - Bing-Hong Li, Yuan-Mei Xie, Zhao Li, Chen-Xun Weng, Chen-Long Li, Hua-Lei Yin, Zeng-Bing Chen:
Long-distance twin-field quantum key distribution with entangled sources. - Ke Lei, John M. Pauly, Shreyas S. Vasanawala:
Artifact- and content-specific quality assessment for MRI with image rulers. - Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. - Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie:
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization. - Victoria Mingote, Antonio Miguel, Alfonso Ortega Giménez, Eduardo Lleida:
Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems. - Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. - Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez:
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention. - György Kovács, Attila Fazekas:
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers. - Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Learning equilibria with personalized incentives in a class of nonmonotone games. - Tasnim Sakib Apon, Mohammad Mahmudul Hasan, Abrar Islam, Md. Golam Rabiul Alam:
Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI. - Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar:
AGGLIO: Global Optimization for Locally Convex Functions. - Chengkuan Hong, Christian R. Shelton:
Deep Neyman-Scott Processes. - Rahul Singh, Liyuan Xu, Arthur Gretton:
Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects. - Mao Guan, Xiao-Yang Liu:
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach. - Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard:
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker. - Tanmoy Dam, Nidhi Swami, Sreenatha G. Anavatti, Hussein A. Abbass:
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification. - Zunwei Fu, Loukas Grafakos, Yan Lin, Yue Wu, Shuhui Yang:
Riesz transform associated with the fractional Fourier transform and applications. - Qinghua Liu, Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu:
LiMuSE: Lightweight Multi-modal Speaker Extraction. - Zexi Hu, Xiaoming Chen, Henry Wing Fung Yeung, Yuk Ying Chung, Zhibo Chen:
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels. - Ginestra Bianconi:
Statistical physics of exchangeable sparse network ensembles. - Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze:
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling. - Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. - Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò:
Structure-aware generation of drug-like molecules. - Jakob Mökander:
On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good? - Faruk Göloglu, Lukas Kölsch:
Equivalences of biprojective almost perfect nonlinear functions. - Fabrizio Pucci, Martin Schwersensky, Marianne Rooman:
AI challenges for predicting the impact of mutations on protein stability. - Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, Pradeep Singh, Min Gu, Wenping Wang:
Dense Representative Tooth Landmark/axis Detection Network on 3D Model. - Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo:
Representation Learning via Quantum Neural Tangent Kernels. - Dongheon Lee, Seongrae Kim, Jung-Woo Choi:
Inter-channel Conv-TasNet for multichannel speech enhancement. - Inigo V. Slijepcevic, Anna M. M. Scaife:
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? - Burhan Gulbahar:
K-sparse Pure State Tomography with Phase Estimation. - Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh:
Lattice gauge symmetry in neural networks. - Hemlata Tak, Madhu R. Kamble, Jose Patino, Massimiliano Todisco, Nicholas W. D. Evans:
RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing. - Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. - Donato Maragno, Holly M. Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe O. Fajemisin:
Mixed-Integer Optimization with Constraint Learning. - Hsuan-Wei Lee, Colin Cleveland, Attila Szolnoki:
Mercenary punishment in structured populations. - Isaiah Hull, Or Sattath:
Revisiting the Properties of Money. - Debomita Chakraborty, Raghunathan Rengaswamy, Karthik Raman:
Designing biological circuits: from principles to applications. - Santtu Tikka, Jouni Helske, Juha Karvanen:
Clustering and Structural Robustness in Causal Diagrams. - Eric Stubley:
Anagrammatic quotients of free groups. - Maryam Daryalal, Hamed Pouya:
Network Migration Problem: A Logic-based Benders Decomposition Approach Driven by Column Generation and Constraint Programming. - Clément Dallard, Martin Milanic, Kenny Storgel:
Tree decompositions with bounded independence number and their algorithmic applications. - Randall D. Beer:
The Global Structure of Codimension-2 Local Bifurcations in Continuous-Time Recurrent Neural Networks. - Hugh Dance, Brooks Paige:
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes. - Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed, Gernot A. Fink, Thomas Kirste:
Human Activity Recognition using Attribute-Based Neural Networks and Context Information. - Shuya Ding, Zhe Chen, Tianyue Zheng, Jun Luo:
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition. - Fardin Ghorbani, Hossein Soleimani:
Simultaneous estimation of wall and object parameters in TWR using deep neural network. - Ran Liu, Daniel N. Aloi:
Dual Band GNSS Antenna Phase Center Characterization for Automotive Applications. - Camille Castera:
Inertial Newton Algorithms Avoiding Strict Saddle Points. - Ye Tian, Yang Feng:
Neyman-Pearson Multi-class Classification via Cost-sensitive Learning. - Bahar Kalkan, Daniel F. Scharler, Hans-Peter Schröcker, Zbynek Sír:
Rational Framing Motions and Spatial Rational Pythagorean Hodograph Curves. - Gautam Kamath, Argyris Mouzakis, Vikrant Singhal, Thomas Steinke, Jonathan R. Ullman:
A Private and Computationally-Efficient Estimator for Unbounded Gaussians. - Omar Alfarisi, Aikifa Raza, Hongtao Zhang, Djamel Ozzane, Mohamed Sassi, Tiejun Zhang:
Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination. - Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini:
Learning Filterbanks for End-to-End Acoustic Beamforming. - Jörg Encke, Mathias Dietz:
The complex-valued correlation coefficient accounts for binaural detection. - Salim I. Amoukou, Nicolas J.-B. Brunel:
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models. - Chanwoo Lee, Miaoyan Wang:
Smooth tensor estimation with unknown permutations. - Daihui Lu, Ivan C. Christov:
Physics-informed neural networks for understanding shear migration of particles in viscous flow. - Andrea Bandini, Sana Smaoui, Catriona M. Steele:
Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone? - Jaydip Sen, Abhishek Dutta, Sidra Mehtab:
Stock Portfolio Optimization Using a Deep Learning LSTM Model. - Sarath Sivaprasad, Saiteja Kosgi, Vineet Gandhi:
Emotional Prosody Control for Speech Generation. - Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. - Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net For Medical Image Segmentation. - Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang:
Multi-Modality Cardiac Image Analysis with Deep Learning. - Priscille de Dumast, Hamza Kebiri, Kelly Payette, András Jakab, Hélène Lajous, Meritxell Bach Cuadra:
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation. - Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia:
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. - Ali Karaali, Rozenn Dahyot, Donal J. Sexton:
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet. - Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci:
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. - Micah Bowles, Matthew Bromley, Max Allen, Anna M. M. Scaife:
E(2) Equivariant Self-Attention for Radio Astronomy. - Resve A. Saleh, A. K. Md. Ehsanes Saleh:
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression. - Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse:
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. - Guus Regts:
Absence of zeros implies strong spatial mixing. - Yana Lishkova, Mark Cannon, Sina Ober-Blöbaum:
A Multirate Variational Approach to Nonlinear MPC. - Jacques Blum, Cédric Boulbe, Blaise Faugeras:
Equilibrium reconstruction for ITER. - Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu:
Query-augmented Active Metric Learning. - Shangjie Guo, Sophia M. Koh, Amilson R. Fritsch, Ian B. Spielman, Justyna P. Zwolak:
Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons. - Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph Node Detection in T2 MRI with Transformers. - Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers:
Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles. - Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman:
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. - Stephen Wolfram:
Multicomputation with Numbers: The Case of Simple Multiway Systems. - Xin Sun, Xin Wu, Yu Wang, Chen Deng, Baorong Liu, Enwei Liang:
Dynamics of charged particles moving around Kerr black hole with inductive charge and external magnetic field. - Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu:
Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer. - Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar:
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. - Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali:
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion. - Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang:
Solving PDE-constrained Control Problems using Operator Learning. - Wenju Cui, Caiying Yan, Zhuangzhi Yan, Yunsong Peng, Yilin Leng, Chenlu Liu, Shuangqing Chen, Xi Jiang:
Bilinear pooling and metric learning network for early Alzheimer's disease identification with FDG-PET images. - Thanh Xuan Nguyen, Hieu Hoang, Chang D. Yoo:
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention. - Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. - Tobias Breiten, Philipp Schulze:
Structure-Preserving Linear Quadratic Gaussian Balanced Truncation for Port-Hamiltonian Descriptor Systems. - Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales:
The Evolving Causal Structure of Equity Risk Factors. - Magdalena Bouza, Andrés Altieri, Cecilia G. Galarza:
Classification of sums of complex exponentials. - Elcin Huseyn:
Electrostimulation of Brain Deep Structures in Parkinson's Disease. - Ard Kastrati, Martyna Beata Plomecka, Damián Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer, Nicolas Langer:
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction. - Ronak Aghera, Sahil Chilana, Vishal Garg, Raghunath Reddy:
A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring. - Sai Krishna Mendu, Souvik Chakraborty:
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification. - Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Danijel Skocaj:
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels. - Shang Li, Guixuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang:
Approaching the Limit of Image Rescaling via Flow Guidance. - Samuel Ackerman, Parijat Dube, Eitan Farchi:
Using sequential drift detection to test the API economy. - Aleix Bassolas, Anton Eriksson, Antoine Marot, Martin Rosvall, Vincenzo Nicosia:
Metadata-informed community detection with lazy encoding using absorbing random walks. - Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo:
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance. - Hengrong Lan, Jiali Gong, Fei Gao:
Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography. - Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya Muthukumar:
Harmless interpolation in regression and classification with structured features. - Amitabh Basu, Tongtong Chen, Michele Conforti, Hongyi Jiang:
Helly systems and certificates in optimization. - Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider:
Leveraging blur information for plenoptic camera calibration. - Anindya Bhaduri, Ashwini Gupta, Lori Graham-Brady:
Stress field prediction in fiber-reinforced composite materials using a deep learning approach. - Rahul Singh:
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection. - Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles:
Generalization in quantum machine learning from few training data. - Michalis K. Titsias, Jiaxin Shi:
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. - Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser:
Mode connectivity in the loss landscape of parameterized quantum circuits. - Cheng Shen, Adiyant Lamba, Meng Zhu, Ray Zhang, Changhuei Yang, Magdalena Zernicka Goetz:
Stain-free Detection of Embryo Polarization using Deep Learning. - Cornelis G. M. van 't Klooster, Arnold van Ardenne:
On Large Ground Station Antennas as Potential Radar Targets for Biomass. - Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein:
Graph Matching via Optimal Transport. - Fernando A. Morales:
Application and Assessment of the Divide-and-Conquer method on some Integer Optimization Problems. - Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim Adler, Hannes Götz Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein:
Robust deep learning-based semantic organ segmentation in hyperspectral images. - Nikita Chernega, Alexandr Polyanskii, Rinat Sadykov:
Disjoint edges in geometric graphs. - Ruslan Shaydulin, Stefan M. Wild:
Importance of Kernel Bandwidth in Quantum Machine Learning. - Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins:
Which priors matter? Benchmarking models for learning latent dynamics. - Niek den Teuling, Steffen Pauws, Edwin R. van den Heuvel:
Clustering of longitudinal data: A tutorial on a variety of approaches. - Wuchen Li, Siting Liu, Stanley J. Osher:
Controlling conservation laws I: entropy-entropy flux. - Haihao Lu, Jinwen Yang:
Linear Convergence of Stochastic Primal Dual Methods for Linear Programming Using Variance Reduction and Restarts. - Zipei Nie:
Matrix anti-concentration inequalities with applications. - Ángel F. García-Fernández, Lennart Svensson:
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories. - Samyak Prajapati, Japman Singh Monga, Shaanya Singh, Amrit Raj, Yuvraj Singh Champawat, Chandra Prakash:
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets. - Hsin-Tien Chiang, Yi-Chiao Wu, Cheng Yu, Tomoki Toda, Hsin-Min Wang, Yih-Chun Hu, Yu Tsao:
HASA-net: A non-intrusive hearing-aid speech assessment network. - Cheng Yu, Szu-Wei Fu, Tsun-An Hsieh, Yu Tsao, Mirco Ravanelli:
OSSEM: one-shot speaker adaptive speech enhancement using meta learning. - Steven Finch:
Permute, Graph, Map, Derange. - Lukas Vierus, Thomas Schuster:
Well-defined forward operators in dynamic diffractive tensor tomography using viscosity solutions of transport equations. - Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan:
The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations. - Rania Tafat, Thomas Göhrt, Stefan Streif:
Generating a robustly stabilizable class of nonlinear systems for the converse optimality problem. - Shishuo Fu, Yanlin Li:
Rooted quasi-Stirling permutations of general multisets. - Pablo Soto-Quiros, Anatoli Torokhti:
Data Compression: Multi-Term Approach. - Ellen Cardinaels, Sem C. Borst, Johan S. H. van Leeuwaarden:
Power-of-two Policies in Redundancy Systems: the Impact of Assignment Constraints. - Huaqian Wu, Nicolas Souedet, Zhenzhen You, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux:
Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section. - Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj:
Early Myocardial Infarction Detection over Multi-view Echocardiography. - Christos Chondros, Stavros D. Nikolopoulos, Iosif Polenakis:
A Stochastic Graph-based Model for the Simulation of SARS-CoV-2 Transmission. - Sam Olesker-Taylor, Luca Zanetti:
Geometric Bounds on the Fastest Mixing Markov Chain. - Zakaria Mhammedi:
Efficient Projection-Free Online Convex Optimization with Membership Oracle. - Kenneth J. Sible, Zachariah B. Etienne:
NRPyLaTeX: A LaTeX interface to computer algebra systems for general relativity. - Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li:
A Hierarchy for Replica Quantum Advantage. - Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li:
Exponential separations between learning with and without quantum memory. - Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper:
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning. - Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu:
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. - Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Zou:
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. - Damian Kisiel, Denise Gorse:
A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection. - Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, John L. Ryu, Luciano M. Prevedello:
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training. - Navid Nasr Esfahani, Douglas R. Stinson:
Rectangular, Range, and Restricted AONTs: Three Generalizations of All-or-Nothing Transforms. - Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King:
Adversarial sampling of unknown and high-dimensional conditional distributions. - Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh:
Trustworthy Medical Segmentation with Uncertainty Estimation. - Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev:
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision. - Guillaume Wang, Konstantin Donhauser, Fanny Yang:
Tight bounds for minimum l1-norm interpolation of noisy data. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Parallel Quantum Annealing. - Laura Monroe:
A Few Identities of the Takagi Function on Dyadic Rationals. - Yihui Fu, Yun Liu, Jingdong Li, Dawei Luo, Shubo Lv, Yukai Jv, Lei Xie:
Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation. - Faisal N. Abu-Khzam:
A Note on the Maximum Number of Minimal Connected Dominating Sets in a Graph. - Anatoli Torokhti:
Processing of large sets of stochastic signals: filtering based on piecewise interpolation technique. - Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng:
On the Equivalence between Neural Network and Support Vector Machine. - Soumendu Majee, Selin S. Aslan, Charles A. Bouman, Doga Gürsoy:
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction. - Uttam K. Gupta, Suchismita Mishra, Dinabandhu Pradhan:
Cops and robber on subclasses of P5-free graphs. - Chirag Ramesh Srivatsa, Chandra R. Murthy:
User Activity Detection for Irregular Repetition Slotted Aloha based MMTC. - Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis:
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. - Vít Jelínek, Toufik Mansour, José Luis Ramírez, Mark Shattuck:
Avoiding a pair of patterns in multisets and compositions. - Shao-Qun Zhang, Zhi-Hua Zhou:
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions. - Wanetha Sudswong, Anon Plangprasopchok, Chainarong Amornbunchornvej:
Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient. - Aryan Verma, Sagar B. Amin, Muhammad Naeem, Monjoy Saha:
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application. - Daria Ghilli, Dirk A. Lorenz, Elena Resmerita:
Nonconvex flexible sparsity regularization: theory and monotone numerical schemes. - (Withdrawn) Related Work on Image Quality Assessment.
- Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective. - Ke Li, Yongsheng Yao:
Reliability Function of Quantum Information Decoupling. - Henrique Becker, Olinto César Bassi de Araújo, Luciana S. Buriol:
Enhanced Formulation for Guillotine 2D Cutting Problems. - Rabab Haider, Giulio Ferro, Michela Robba, Anuradha M. Annaswamy:
Flattening the Duck Curve: A Case for Distributed Decision Making. - Thorsten Altenkirch:
Should Type Theory replace Set Theory as the Foundation of Mathematics. - Fabio Anza, James P. Crutchfield:
Quantum Information Dimension and Geometric Entropy. - Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko, Vincent E. Elfving:
Quantum Model-Discovery. - Gabriele Dragotto, Rosario Scatamacchia:
ZERO Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming. - Margarita Boyarskaya, Panos Ipeirotis:
Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing. - Joan Gimeno, Jean-Philippe Lessard, Jason D. Mireles-James, Jiaqi Yang:
Persistence of Periodic Orbits under State-dependent Delayed Perturbations: Computer-assisted Proofs. - David Schaurecker, Yin Li, Jeremy Tinker, Shirley Ho, Alexandre Refregier:
Super-resolving Dark Matter Halos using Generative Deep Learning. - Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Kalman Filtering with Adversarial Corruptions. - Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis. - Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification. - Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. - Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim:
Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI. - Andrew Lauziere, Evan Ardiel, Stephen Xu, Hari Shroff:
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans. - Amoolya Tirumalai, John S. Baras:
A Robust Mean-field Game of Boltzmann-Vlasov-like Traffic Flow. - Ladislav Mosner, Oldrich Plchot, Lukás Burget, Jan Cernocký:
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification. - Jonathan M. Baker, Andrew Litteken, Casey Duckering, Henry Hoffmann, Hannes Bernien, Frederic T. Chong:
Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures. - Sang Hoon Lee:
Refinement for community structures of bipartite networks. - Akira Furui, Tomoyuki Akiyama, Toshio Tsuji:
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection. - Mengbin Ye, Brian D. O. Anderson, Axel Janson, Sebin Gracy, Karl Henrik Johansson:
Competitive epidemic networks with multiple survival-of-the-fittest outcomes. - Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts. - Xiyang Liu, Weihao Kong, Sewoong Oh:
Differential privacy and robust statistics in high dimensions. - Yanyi Ding, Zhiyi Kuang, Yuxin Pei, Jeff Tan, Ziyu Zhang, Joseph Konan:
Using Deep Learning Sequence Models to Identify SARS-CoV-2 Divergence. - Damien Ronssin, Milos Cernak:
AC-VC: Non-parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion. - Yang Tian, Pei Sun:
Thermodynamics of Encoding and Encoders. - Marc Mancini, Maxime Theillard, Changho Kim:
Projection Method for the Fluctuating Hydrodynamics Equations. - Matthias Griebel, Dennis Segebarth, Nikolai Stein, Nina Schukraft, Philip Tovote, Robert Blum, Christoph M. Flath:
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2. - Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma:
Transformer-based Image Compression. - D. O. Rybalka:
SimpleTensor - a user-friendly Mathematica package for elementary tensor and differential-geometric calculations. - Eduardo Reck Miranda, Richie Yeung, Anna Pearson, Konstantinos Meichanetzidis, Bob Coecke:
A Quantum Natural Language Processing Approach to Musical Intelligence. - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Simplifying approach to Node Classification in Graph Neural Networks. - Armin Nurkanovic, Sebastian Albrecht, Bernard Brogliato, Moritz Diehl:
The Time-Freezing Reformulation for Numerical Optimal Control of Complementarity Lagrangian Systems with State Jumps. - Igor Melnyk, Payel Das, Vijil Chenthamarakshan, Aurélie C. Lozano:
Benchmarking deep generative models for diverse antibody sequence design. - Alexander Bentkamp, Jeremy Avigad:
Verified Optimization. - Ahmed El Alaoui, Andrea Montanari, Mark Sellke:
Local algorithms for Maximum Cut and Minimum Bisection on locally treelike regular graphs of large degree. - Yuqian Zhang, Jelena Bradic, Weijie Ji:
Dynamic treatment effects: high-dimensional inference under model misspecification. - Elisabeth Gaar, Jon Lee, Ivana Ljubic, Markus Sinnl, Kübra Taninmis:
SOCP-based disjunctive cuts for a class of integer nonlinear bilevel programs. - Adrien Leleu, G. Chatel, S. Udry, Y. Alibert, J.-B. Delisle, Rosemary A. Mardling:
Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705. - Rémi Le Priol, Frederik Kunstner, Damien Scieur, Simon Lacoste-Julien:
Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent - an Open Problem. - Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms. - Salvatore Mandrà, Jeffrey Marshall, Eleanor Gilbert Rieffel, Rupak Biswas:
HybridQ: A Hybrid Simulator for Quantum Circuits. - Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang:
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. - Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. - Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii:
Neural optimal feedback control with local learning rules. - Christian Porter, Cong Ling:
Reduction Theory of Algebraic Modules and their Successive Minima. - Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. - Wen-Bo Xie, Zhen Liu, Jaideep Srivastava:
Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees. - Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung:
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. - Paolo Boldi, Ian Leifer, Hernán A. Makse:
Quasifibrations of Graphs to Find Symmetries in Biological Networks. - Nithin Raveendran, Narayanan Rengaswamy, Filip Rozpedek, Ankur Raina, Liang Jiang, Bane Vasic:
Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound. - Alisa Rahim, Esley Torres:
Improving the Otsu Thresholding Method of Global Binarization Using Ring Theory for Ultrasonographies of Congestive Heart Failure. - Jonathan Allcock, Yassine Hamoudi, Antoine Joux, Felix Klingelhöfer, Miklos Santha:
Classical and quantum dynamic programming for Subset-Sum and variants. - Shaoguo Wen, Junle Wang:
A strong baseline for image and video quality assessment. - Ziping Xu, Ambuj Tewari:
On the Statistical Benefits of Curriculum Learning. - Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally:
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. - Nikhil Ghosh, Song Mei, Bin Yu:
The Three Stages of Learning Dynamics in High-Dimensional Kernel Methods. - Songxiang Liu, Dan Su, Dong Yu:
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning. - Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Yi Huang:
SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI. - Valentin De Bortoli, Arnaud Doucet, Jeremy Heng, James Thornton:
Simulating Diffusion Bridges with Score Matching. - Lingfei Wu, Aniket Kittur, Hyejin Youn, Stasa Milojevic, Erin Leahey, Stephen M. Fiore, Yong-Yeol Ahn:
Metrics and Mechanisms: Measuring the Unmeasurable in the Science of Science. - Th. Kalampokas, George A. Papakostas:
Moment Transform-Based Compressive Sensing in Image Processing. - Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li:
Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot. - Walid Al Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha:
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks. - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models. - Yihe Gong, Xue Jiang:
Computing Groebner bases of ideal interpolation. - Firat Hardalaç, Fatih Uysal, Ozan Peker, Murat Çiçeklidag, Tolga Tolunay, Nil Tokgöz, Ugurhan Kutbay, Boran Demirciler, Fatih Mert:
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models. - Ata Jodeiri, Hadi Seyedarabi, Fatemeh Shahbazi, Seyed Mohammad Mahdi Hashemi, Seyyedhossein Shafiei:
Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning. - Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal:
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds. - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
On equivalence between linear-chain conditional random fields and hidden Markov chains. - Xingwei Hu:
Decoding Causality by Fictitious VAR Modeling. - Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe:
Scrutinizing XAI using linear ground-truth data with suppressor variables. - A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi:
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. - Kyubo Noh, David Pardo, Carlos Torres-Verdín:
Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements. - Mengbin Ye, Brian D. O. Anderson, Ji Liu:
Convergence and Equilibria Analysis of a Networked Bivirus Epidemic Model. - Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer:
Scalable Intervention Target Estimation in Linear Models. - Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Gouranga Charan, Tawfik Osman, Andrew Hredzak, Ngwe Thawdar, Ahmed Alkhateeb:
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets. - Tobias Cord-Landwehr, Christoph Böddeker, Thilo von Neumann, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Monaural source separation: From anechoic to reverberant environments. - Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs:
Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies. - Masanori Koyama, Kentaro Minami, Takeru Miyato, Yarin Gal:
Contrastive Representation Learning with Trainable Augmentation Channel. - Alessandro Languasco:
Efficient computation of some special functions. - Angxiu Ni:
Fast adjoint differentiation of chaos. - Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. - Xin Wang, Junichi Yamagishi:
Investigating self-supervised front ends for speech spoofing countermeasures. - Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, Zheng-Hua Tan:
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index. - Jian Li, Mingjun Wang, Qidong Jia, Kaiping Xue:
Fidelity-Guaranteed Entanglement Purification and Routing in Quantum Networks. - Marco Avella-Medina, Richard A. Davis, Gennady Samorodnitsky:
Spectral learning of multivariate extremes. - Gabriel L. Maia, Caio Ponte, Carlos Caminha, Lara Furtado, Hygor P. M. Melo, Vasco Furtado:
The ubiquitous efficiency of going further: how street networks affect travel speed. - Francesco Linsalata, Silvia Mura, Marouan Mizmizi, Maurizio Magarini, Peng Wang, Majid Nasiri Khormuji, Alberto Perotti, Umberto Spagnolini:
LoS-Map Construction for Proactive Relay of Opportunity Selection in 6G V2X Systems. - Silvia Mura, Francesco Linsalata, Marouan Mizmizi, Maurizio Magarini, Majid Nasiri Khormuji, Peng Wang, Alberto Perotti, Umberto Spagnolini:
Spatial-Interference Aware Cooperative Resource Allocation for 5G NR Sidelink Communications. - Bastian Kaspschak, Ulf-G. Meißner:
Three-body renormalization group limit cycles based on unsupervised feature learning. - Nicolas Bousquet, Quentin Deschamps, Aline Parreau, Ignacio M. Pelayo:
Metric dimension on sparse graphs and its applications to zero forcing sets. - Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt:
Machine Learning for CSI Recreation Based on Prior Knowledge. - James D. Currie, Lucas Mol, Narad Rampersad, Jeffrey O. Shallit:
Extending Dekking's construction of an infinite binary word avoiding abelian 4-powers. - Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt:
Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation. - Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu:
An Outcome Test of Discrimination for Ranked Lists. - Boyuan Ma, Xiang Yin, Xiaojuan Ban, Haiyou Huang, Neng Zhang, Hao Wang, Weihua Xue:
Data privacy protection in microscopic image analysis for material data mining. - Jitendra K. Tugnait:
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series. - Shijie Liu, Hongyu Zhou, Xiaozhou Shi, Junwen Pan:
Transformer for Polyp Detection. - Xuan Kien Phung:
A geometric generalization of Kaplansky's direct finiteness conjecture. - Abhishek Shetty, Raaz Dwivedi, Lester Mackey:
Distribution Compression in Near-linear Time. - Shiro Tamiya, Hayata Yamasaki:
Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits. - Abdullah Ash-Saki, Rasit Onur Topaloglu, Swaroop Ghosh:
Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers. - Gregory Rosenthal:
Query and Depth Upper Bounds for Quantum Unitaries via Grover Search. - Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. - Yang Song, Liyue Shen, Lei Xing, Stefano Ermon:
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. - Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou:
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. - Ziyi Yang, Zhaofeng Ye, Yijia Xiao, Chang-Yu Hsieh:
SPLDExtraTrees: Robust machine learning approach for predicting kinase inhibitor resistance. - Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. - Anatoly Dymarsky, Kirill Pavlenko:
Tensor network to learn the wavefunction of data. - Alex Cole, Benjamin Kurt Miller, Samuel J. Witte, Maxwell X. Cai, Meiert W. Grootes, Francesco Nattino, Christoph Weniger:
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation. - Deep Mukhopadhyay:
Revisiting C.S.Peirce's Experiment: 150 Years Later. - Tianyi Lin, Michael I. Jordan:
On Monotone Inclusions, Acceleration and Closed-Loop Control. - Chandrajit Bajaj, Minh Nguyen:
Learning Optimal Control with Stochastic Models of Hamiltonian Dynamics. - Reza Lotfidereshgi, Philippe Gournay:
Biologically inspired speech emotion recognition. - Nathan Tung, Eli Upfal, Jerome N. Sanes, Ani Eloyan:
Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation. - Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John Wright, Henry Yuen:
Quantum soundness of testing tensor codes. - Alexei J. Drummond, Alex Popinga:
Bayesian inference of the climbing grade scale. - Jitendra K. Tugnait:
Sparse Graph Learning Under Laplacian-Related Constraints. - Marius Arvinte, Jonathan I. Tamir:
Deep Diffusion Models for Robust Channel Estimation. - Timothy C. Stutz, Janet S. Sinsheimer, Mary E. Sehl, Jason Xu:
Computational tools for assessing gene therapy under branching process models of mutation. - Thi Ngoc Tho Nguyen, Douglas L. Jones, Karn N. Watcharasupat, Huy Phan, Woon-Seng Gan:
SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays. - Takatomo Kano, Atsunori Ogawa, Marc Delcroix, Shinji Watanabe:
Attention-based Multi-hypothesis Fusion for Speech Summarization. - Youyi Huang, Lu Wei:
Second-order statistics of fermionic Gaussian states. - Jia Cai, Zhilong Xiong, Shaogao Lv:
SStaGCN: Simplified stacking based graph convolutional networks. - Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington:
Covariate Shift in High-Dimensional Random Feature Regression. - Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. - Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. - Theodor Misiakiewicz, Song Mei:
Learning with convolution and pooling operations in kernel methods. - Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Cascade-type Multi-stage Processes. - Elias Karabelas, Stefano Longobardi, Jana Fuchsberger, Orod Razeghi, Cristóbal Rodero, Marina Strocchi, Ronak Rajani, Gundolf Haase, Gernot Plank, Steven A. Niederer:
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models. - Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Hua Huang:
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution. - Shubo Lv, Yihui Fu, Mengtao Xing, Jiayao Sun, Lei Xie, Jun Huang, Yannan Wang, Tao Yu:
S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement. - Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen:
Code-free development and deployment of deep segmentation models for digital pathology. - Avishek Choudhury, Emily Renjilian, Onur Asan:
Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review. - Huy Phan, Kaare B. Mikkelsen:
Automatic Sleep Staging: Recent Development, Challenges, and Future Directions. - Andong Li, Zhaohong Deng, Qiongdan Lou, Kup-Sze Choi, Hong-Bin Shen, Shitong Wang:
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection. - Nadeghda Malyutina, Victor Shcherbacov:
An analogue of the ElGamal scheme based on the Markovski algorithm. - Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - Ramij Rahaman:
Asymptotically secure All-or-nothing Quantum Oblivious Transfer. - Yiran Dong, Chuanhou Gao:
An adaptive dimension reduction algorithm for latent variables of variational autoencoder. - Hiroki Ohashi, Hiroto Nagayoshi:
Human-error-potential Estimation based on Wearable Biometric Sensors. - Tena Dubcek, Daniel Moreno-Garcia, Thomas Haag, Henrik R. Thomsen, Theodor S. Becker, Christoph Bärlocher, Fredrik Andersson, Sebastian D. Huber, Dirk-Jan van Manen, Luis Guillermo Villanueva, Johan O. A. Robertsson, Marc Serra-Garcia:
Binary classification of spoken words with passive elastic metastructures. - Akankshita Dash:
Machine Learning for Genomic Data. - Shubham Anand Jain, Shreyas Goenka, Divyam Bapna, Nikhil Karamchandani, Jayakrishnan Nair:
Sequential Community Mode Estimation. - Simon Rahn, Marion Gödel, Gerta Köster, Gesine Hofinger:
Modelling airborne transmission of SARS-CoV-2 at a local scale. - Przemyslaw Koprowski:
Solving sums of squares in global fields. - Przemyslaw Koprowski:
Isotropic vectors over global fields. - Woonghee Han, Randall A. Pietersen, Rafael Villamor-Lora, Matthew Beveridge, Nicola Offeddu, Theodore Golfinopoulos, Christian Theiler, James L. Terry, Earl S. Marmar, Iddo Drori:
Tracking Blobs in the Turbulent Edge Plasma of Tokamak Fusion Reactors. - Shihao Shao, Yong Liu, Qinghua Cui:
A layer-stress learning framework universally augments deep neural network tasks. - Aakash Shah, Manan Shah:
Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis. - Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou:
Stochastic Extragradient: General Analysis and Improved Rates. - Midia Yousefi, John H. L. Hansen:
Single-channel speech separation using Soft-minimum Permutation Invariant Training. - Jean-Camille Birget:
Evaluation problems for the Thompson group and the Brin-Thompson group, and their relation to the word problem. - Angela Zhou, Andrew Koo, Nathan Kallus, Rene Ropac, Richard Peterson, Stephen Koppel, Tiffany Bergin:
An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls. - Víctor Blanco, Alberto Japón, Justo Puerto:
Multiclass Optimal Classification Trees with SVM-splits. - Viet Anh Trinh, Sebastian Braun:
Unsupervised Speech Enhancement with speech recognition embedding and disentanglement losses. - Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, Federico Marinacci, David N. Spergel, Lars Hernquist, Mark Vogelsberger, Romeel Dave, Desika Narayanan:
Inferring halo masses with Graph Neural Networks. - Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution. - Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann:
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. - Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck, Sarah C. Brüningk:
Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification. - Sébastien Piluso, Nicolas Souedet, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux:
Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration. - G. Jignesh Chowdary, G. V. S. N. Durga Yathisha, Suganya G, Premalatha M:
Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation. - Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão:
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. - Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Two-step adversarial debiasing with partial learning - medical image case-studies. - Jhon Jairo Sáenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrez, Jon Ander Gómez, María de la Iglesia-Vayá:
Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study. - Balázs Keszegh, Dömötör Pálvölgyi:
The number of tangencies between two families of curves. - Jieqiu Shao, Joshua Combes, John Hauser, Marco M. Nicotra:
A Projection Operator-based Newton Method for the Trajectory Optimization of Closed Quantum Systems. - Arvind S. Menon, Prashanth L. A., Krishna P. Jagannathan:
Online Estimation and Optimization of Utility-Based Shortfall Risk. - Dimitris Achlioptas, Kostas Zampetakis:
The Lovász Local Lemma is Not About Probability. - Zhenlin Wang, Jonathan Scarlett:
Max-Min Grouped Bandits. - Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Jump Interval-Learning for Individualized Decision Making. - Víctor Hugo Almendra-Hernández, Leonardo Martínez-Sandoval:
On prescribing total preorders and linear orders to pairwise distances of points in Euclidean space. - Harshvardhan Uppaluru, Hamid Emadi, Hossein Rastgoftar:
A Continuous-Time Optimal Control Approach to Congestion Control. - Chun-Yueh Chiang, Hung-Yuan Fan:
An efficient iteration for the extremal solutions of discrete-time algebraic Riccati equations. - Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. - Germà Coenders, Michael Greenacre:
Three approaches to supervised learning for compositional data with pairwise logratios. - Simon Grosche, Andy Regensky, Jürgen Seiler, André Kaup:
Image Super-Resolution Using T-Tetromino Pixels. - Satish Kumar, Anirban Pathak:
United Nation Security Council in Quantum World: Experimental Realization of Quantum Anonymous Veto Protocols using IBM Quantum Computer. - Sasmita Rout, Gautam K. Das:
Roman Domination in Convex Bipartite Graphs. - Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin:
Information dynamics of price and liquidity around the 2017 Bitcoin markets crash. - Rune D. Kjærsgaard, Manja G. Grønberg, Line Katrine Harder Clemmensen:
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data. - Sevag Gharibian, François Le Gall:
Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum PCP Conjecture. - Rune D. Kjærsgaard, Aaron Bello-Arufe, Alexander D. Rathcke, Lars A. Buchhave, Line Katrine Harder Clemmensen:
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder. - Guang-Tao Zhang, Chen Cheng, Shudong Liu, Yang Chen, Yong-Zheng Li:
Deep learning based on mixed-variable physics informed neural network for solving fluid dynamics without simulation data. - Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang:
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution. - Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu:
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. - Elaheh Hatamimajoumerd, Alireza Talebpour:
The Neural Correlates of Image Texture in the Human Vision Using Magnetoencephalography. - Armstrong Aboah, Lydia Johnson, Setul Shah:
Identifying the Factors that Influence Urban Public Transit Demand. - Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill:
Interpreting multi-variate models with setPCA. - Benoit Brummer, Christophe De Vleeschouwer:
End-to-end optimized image compression with competition of prior distributions. - Zhishen Huang, Saiprasad Ravishankar:
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI. - Rachel Han, Colin Macdonald, Brian Wetton:
A fast solver for the pseudo-two-dimensional model of lithium-ion batteries. - Narad Rampersad:
Prefixes of the Fibonacci word that end with a cube. - Robin Dunn, Larry A. Wasserman, Aaditya Ramdas:
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity. - Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman:
Segmentation of Lung Tumor from CT Images using Deep Supervision. - Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders:
Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks. - Guy Moshkovitz, Jeffery Yu:
Sharp Effective Finite-Field Nullstellensatz. - Song-Kyoo Kim:
Shifted Brownian Fluctuation Game. - Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
Consensus-based Distributed Optimization Enhanced by Integral Feedback. - Sunwoo Kim, Minje Kim:
BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. - Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. - Greta Coraglia, Ivan Di Liberti:
Context, Judgement, Deduction. - Sewoong Oh, Soumik Pal, Raghav Somani, Raghav Tripathi:
Gradient flows on graphons: existence, convergence, continuity equations. - Yao Sun, Lichao Mou, Yuanyuan Wang, Sina Montazeri, Xiao Xiang Zhu:
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks. - Kazuharu Uchiyama, Sota Nakajima, Hirotsugu Suzui, Nicolas Chauvet, Hayato Saigo, Ryoichi Horisaki, Kingo Uchida, Makoto Naruse, Hirokazu Hori:
Order recognition by Schubert polynomials generated by optical near-field statistics via nanometre-scale photochromism. - Hamed Mohammadbagherpoor, Patrick Dreher, Mohannad Ibrahim, Young-Hyun Oh, James Hall, Richard E. Stone, Mirela Stojkovic:
Exploring Airline Gate-Scheduling Optimization Using Quantum Computers. - Adrián Lozano-Durán, Gonzalo Arranz:
Information-theoretic formulation of dynamical systems: causality, modeling, and control. - Hailan Ma, Daoyi Dong, Ian R. Petersen, Chang-Jiang Huang, Guo-Yong Xiang:
A comparative study on how neural networks enhance quantum state tomography. - Dominick J. Joch, Sergei Slussarenko, Yuanlong Wang, Alex Pepper, Shouyi Xie, Bin-Bin Xu, Ian R. Berkman, Sven Rogge, Geoff J. Pryde:
Certified Random Number Generation from Quantum Steering. - Sang Hyun Kim, Sangho Shim:
Park-and-Ride Facility Location Under Nested Logit Demand Function. - Xiaoyun Li, Ping Li:
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations. - Katsumi Chiyomaru, Kazuhiro Takemoto:
Adversarial attacks on voter model dynamics in complex networks. - Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb:
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. - Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon R. Arridge, Adrien E. Desjardins, Mikko J. Sillanpää, Andreas Hauptmann:
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data. - Jiangdong Ai, Stefanie Gerke, Gregory Z. Gutin, Yacong Zhou:
Extended Path Partition Conjecture for Semicomplete and Acyclic Compositions. - Udara De Silva, Toshiaki Koike-Akino, Rui Ma, Ao Yamashita, Hideyuki Nakamizo:
A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion. - George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. - Simone Göttlich, Thomas Schillinger:
Control Strategies for Transport Networks under Demand Uncertainty. - Umut Demirhan, Ahmed Alkhateeb:
Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration. - Simon Clément, Florian Lemarié, Eric Blayo:
Discrete analysis of Schwarz Waveform Relaxation for a simplified air-sea coupling problem with nonlinear transmission conditions. - Yigit Oktar:
Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling. - Philippe M. Wyder, Hod Lipson:
Visual design intuition: Predicting dynamic properties of beams from raw cross-section images. - Raphael Leiteritz, Marcel Hurler, Dirk Pflüger:
Learning Free-Surface Flow with Physics-Informed Neural Networks. - Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal:
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. - Adarsh Jain, Abhishek Khanna, Jay Bhatt, Parthkumar V. Sakhiya, Shashank Kumar, Rohan S. Urdhwareshe, Nilesh M. Desai:
Development of NavIC synchronized fully automated inter-building QKD framework and demonstration of quantum secured video calling. - Heide Gluesing-Luerssen, Benjamin Jany:
On the Existence of Coproducts in Categories of q-Matroids. - Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard:
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits. - Michael Baur, Michael Würth, Vlad-Costin Andrei, Michael Koller, Wolfgang Utschick:
CSI Clustering with Variational Autoencoding. - Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi:
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation. - Annabelle Redelmeier, Martin Jullum, Kjersti Aas, Anders Løland:
MCCE: Monte Carlo sampling of realistic counterfactual explanations. - Axel Dahlberg, Bart van der Vecht, Carlo Delle Donne, Matthew Skrzypczyk, Ingmar te Raa, Wojciech Kozlowski, Stephanie Wehner:
NetQASM - A low-level instruction set architecture for hybrid quantum-classical programs in a quantum internet. - Leena C. Vankadara, Philipp Michael Faller, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing:
Causal Forecasting: Generalization Bounds for Autoregressive Models. - Kamesh Korangi, Christophe Mues, Cristián Bravo:
A transformer-based model for default prediction in mid-cap corporate markets. - Tom O'Malley, Arun Narayanan, Quan Wang, Alex Park, James Walker, Nathan Howard:
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation. - Jiuzhou Wang, Sandra E. Safo:
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking - An Application to COVID-19 severity. - Fabricio A. Breve:
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles. - Bolin Gao, Lacra Pavel:
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting. - Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf:
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions. - Subhro Ghosh, Philippe Rigollet:
Gaussian Determinantal Processes: a new model for directionality in data. - Hamed Valizadegan, Miguel J. S. Martinho, Laurent S. Wilkens, Jon M. Jenkins, Jeffrey Smith, Douglas A. Caldwell, Joseph D. Twicken, Pedro C. Gerum, Nikash Walia, Kaylie Hausknecht, Noa Y. Lubin, Stephen T. Bryson, Nikunj C. Oza:
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets. - Yihan He:
Achievability and Impossibility of Exact Pairwise Ranking. - The Khai Nguyen, Ha H. Nguyen, Ebrahim Bedeer:
Concurrent Transmission and Multiuser Detection of LoRa Signals. - Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Tzyy-Ping Jung:
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal. - Deborah Oliveros, Antonio Torres:
From word-representable graphs to altered Tverberg-type theorems. - Jiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim:
A comparison of streaming models and data augmentation methods for robust speech recognition. - Jiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim:
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languages. - Eranda Somathilake, Upekha Hansanie Delay, Janith Bandara Senanayaka, Samitha Gunarathne, Roshan Godaliyadda, Parakrama Ekanayake, Janaka V. Wijayakulasooriya, Chathura Rathnayake:
Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor. - Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier:
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. - Cangxiong Chen, Neill D. F. Campbell:
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification. - Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni, Alessandra Di Pierro, Antonio Mandarino:
Benchmarking Small-Scale Quantum Devices on Computing Graph Edit Distance. - Piotr Bialas, Piotr Korcyl, Tomasz Stebel:
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations. - Lucas Lugnani, Daniel Dotta, Mario Roberto Arrieta Paternina, Joe Chow:
Real-time Coherency Identification using a Window-Size-Based Recursive Typicality Data Analysis. - C. H. Bryan Liu, Ângelo Cardoso, Paul Couturier, Emma J. McCoy:
Datasets for Online Controlled Experiments. - Mariana Rodrigues Makiuchi, Kuniaki Uto, Koichi Shinoda:
Multimodal Emotion Recognition with High-level Speech and Text Features. - Alexander Katriniok:
Control-sharing Control Barrier Functions for Intersection Automation under Input Constraints. - Adedolapo Aishat Toye, Suryaprakash Kompalli:
Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease. - Raviraj Joshi, Venkateshan Kannan:
Attention based end to end Speech Recognition for Voice Search in Hindi and English. - Yu Han, Kazuyuki Nakamura:
The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo. - David A. Herrera-Martí:
Policy Gradient Approach to Compilation of Variational Quantum Circuits. - Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy Nguyen:
Posterior concentration and fast convergence rates for generalized Bayesian learning. - David Picard, Jérôme Fellus, Stéphane Garnier:
Non asymptotic bounds in asynchronous sum-weight gossip protocols. - Matheus Viana da Silva, Julie Ouellette, Baptiste Lacoste, Cesar H. Comin:
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels. - Gengxiang Chen, Yingguang Li, Xu Liu, Qinglu Meng, Jing Zhou, Xiaozhong Hao:
Residual fourier neural operator for thermochemical curing of composites. - Henrik Hellström, Viktoria Fodor, Carlo Fischione:
Over-the-Air Federated Learning with Retransmissions (Extended Version). - Ahmed Abbas, Paul Swoboda:
FastDOG: Fast Discrete Optimization on GPU. - Oscar Key, Tamara Fernandez, Arthur Gretton, François-Xavier Briol:
Composite Goodness-of-fit Tests with Kernels. - Ery Arias-Castro, Wanli Qiao:
An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree. - Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Taco S. Cohen:
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. - Håvard Bakke Bjerkevik, Michael Kerber:
Asymptotic Improvements on the Exact Matching Distance for 2-parameter Persistence. - Jonas Eichelsdörfer, Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis:
Physics-enhanced Neural Networks in the Small Data Regime. - Yubo Zhang, Jan-Michael Frahm, Samuel Ehrenstein, Sarah K. McGill, Julian G. Rosenman, Shuxian Wang, Stephen M. Pizer:
ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction. - Zhizheng Jiang, Fei Gao, Renshu Gu, Jinlan Xu, Gang Xu, Timon Rabczuk:
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows. - Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal:
Urine Microscopic Image Dataset. - Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap:
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary. - Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta:
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. - Xiantao Li:
Some Error Analysis for the Quantum Phase Estimation Algorithms. - Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, David J. Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob:
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Rida Ait El Manssour, Gleb Pogudin:
Multiplicity structure of the arc space of a fat point. - Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti:
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits. - Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo:
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes. - Junyu Chen, Yong Du, Yufan He, William Paul Segars, Ye Li, Eric C. Frey:
TransMorph: Transformer for unsupervised medical image registration. - Dominic Yang, Prasanna Balaprakash, Sven Leyffer:
Modeling Design and Control Problems Involving Neural Network Surrogates. - Ziye Liu, Fanghong Guo, Wei Wang, Xiaoqun Wu:
A Distributed Parallel Optimization Algorithm via Alternating Direction Method of Multipliers. - Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil D. Lawrence, Nikolas Nüsken:
Bayesian Learning via Neural Schrödinger-Föllmer Flows. - Manuel Baltieri, Takuya Isomura:
Kalman filters as the steady-state solution of gradient descent on variational free energy. - A. Vicente Arévalo, Andrés Asensio Ramos, Sara Esteban Pozuelo:
Accelerating non-LTE synthesis and inversions with graph networks. - Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo, Shoko Araki:
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithm. - Lokesh Bommisetty, Samskruthi Gaddam, Nomula Prakash Reddy, Shaik Basharath, Bharath Are:
CDMA for Underwater Acoustic Communication. - Hao Chen, Ming Xiao, Zhibo Pang:
Satellite Based Computing Networks with Federated Learning. - Bugra Turan, Osman Nuri Koç, Emrah Kar, Sinem Coleri:
Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising. - Muyang Ge, Wenlong Wang, Wangxiangming Zheng:
Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training. - Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu:
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. - Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali:
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation. - Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. - Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu:
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. - Giona Casiraghi, Christian Zingg, Frank Schweitzer:
The downside of heterogeneity: How established relations counteract systemic adaptivity in tasks assignments. - Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva, Vladislav Strashko, Timofei Ermak, Aleksei Shpilman:
Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction. - Elcin Huseyn, Emin Mammadov, Mohammad Hoseini:
A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning. - Federico Zocco, Beatrice Smyth, Pantelis Sopasakis:
Thermodynamical Material Networks for Modeling, Planning and Control of Circular Material Flows. - Toni Sagayaraj, Carsten Eickhoff:
Image-Like Graph Representations for Improved Molecular Property Prediction. - Ziv Scully, Mor Harchol-Balter:
The Gittins Policy in the M/G/1 Queue. - Yihan He:
PAC-Learning Uniform Ergodic Communicative Networks. - Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu:
Low-Discrepancy Points via Energetic Variational Inference. - Nathan Willis, Chee Han Tan, Christel Hohenegger, Braxton Osting:
High Spots for the Ice-Fishing Problem with Surface Tension. - Eyal Gofer, Guy Gilboa:
A Pseudo-Inverse for Nonlinear Operators. - Jash Dalvi, Aziz Bohra:
COVID-19 Detection through Deep Feature Extraction. - Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-shot Weakly-Supervised Segmentation in Medical Images. - Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, Yuan Hui, S. Kevin Zhou:
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction. - Runyuan Cai, Yue Ding, Hongtao Lu:
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform. - Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. - Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang:
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis. - Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. - Yuri Gurevich, Andreas Blass:
Simple circuit simulations of classical and quantum Turing machines. - Ivan Hristov, Radoslava Hristova, Igor V. Puzynin, Taisia P. Puzynina, Zarif Sharipov, Zafar Tukhliev:
Newton's method for computing periodic orbits of the planar three-body problem. - Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob:
Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM). - Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Sarv Priya, Rolf F. Schulte, Mathews Jacob:
Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning. - Sachin Pokharel, Muhammad Ali, Zohra Cheddad, Abbas Cheddad:
ARMAS: Active Reconstruction of Missing Audio Segments. - Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob:
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. - Toshio Croucher, Joan A. Vaccaro:
Memory erasure with finite-sized spin reservoir. - Xiucai Ding, Hau-Tieng Wu:
How do kernel-based sensor fusion algorithms behave under high dimensional noise? - David I. Spivak:
Functorial aggregation. - Seonguk Park, Nojun Kwak:
Local-Selective Feature Distillation for Single Image Super-Resolution. - Wenhan Dai, Don Towsley:
Entanglement Swapping for Repeater Chains with Finite Memory Sizes. - Shoichi Koyama, Keisuke Kimura, Natsuki Ueno:
Sound Field Reproduction With Weighted Mode Matching and Infinite-Dimensional Harmonic Analysis: An Experimental Evaluation. - Fabio Enrique Brochero Martínez, Hugo Rodrigues Teixeira:
On the functional graph of f(X)=c(Xq+1+aX2) over quadratic extensions of finite fields. - Francisco Revson Fernandes Pereira, Stefano Mancini:
Error Probability Mitigation in Quantum Reading using Classical Codes. - Tom Gur, Min-Hsiu Hsieh, Sathyawageeswar Subramanian:
Sublinear quantum algorithms for estimating von Neumann entropy. - Ratanjeet Pratap Chauhan, Sushmita Paul, Srinibas Swain:
Novel ways of enumerating restrained dominating sets of cycles. - Juan Antonio Rubio-Montero, Raúl Pagán Muñoz, Rafael Mayo-García, Alfonso Pardo Diaz, Iván Sidelnik, Hernán Asorey:
The EOSC-Synergy cloud services implementation for the Latin American Giant Observatory (LAGO). - Kenan Morani, Devrim Ünay:
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images. - Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska:
Transfer Learning with Gaussian Processes for Bayesian Optimization. - Roberto Longo:
Modular structure of the Weyl algebra. - Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. - David L. Craig, H. Moon, Federico Fedele, Dominic T. Lennon, Barnaby van Straaten, Florian Vigneau, Leon C. Camenzind, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Natalia Ares:
Bridging the reality gap in quantum devices with physics-aware machine learning. - Mohammad Younus Bhat, Aamir Hamid Dar:
Uncertainty Inequalities for 3D Octonionic-valued Signals Associated with Octonion Offset Linear Canonical Transform. - Geetanjali Sharma, Amit Mahesh Joshi:
Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare. - Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse. - Shanzhi Yin, Chao Li, Youneng Bao, Yongshang Liang:
Universal Efficient Variable-rate Neural Image Compression. - Boris Muzellec, Francis R. Bach, Alessandro Rudi:
Learning PSD-valued functions using kernel sums-of-squares. - Martin Grohe, Gaurav Rattan, Tim Seppelt:
Homomorphism Tensors and Linear Equations. - Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang:
Testing thresholds for high-dimensional sparse random geometric graphs. - Hassan Ashtiani, Christopher Liaw:
Private and polynomial time algorithms for learning Gaussians and beyond. - Matteo Pompili, Carlo Delle Donne, Ingmar te Raa, Bart van der Vecht, Matthew Skrzypczyk, Guilherme Maciel Ferreira, Lisa de Kluijver, Arian J. Stolk, Sophie L. N. Hermans, Przemyslaw Pawelczak, Wojciech Kozlowski, Ronald Hanson, Stephanie Wehner:
Experimental demonstration of entanglement delivery using a quantum network stack. - Bugra Turan, Omer Narmanlioglu, Osman Nuri Koç, Emrah Kar, Sinem Coleri, Murat Uysal:
Measurement Based Non-Line-Of-Sight Vehicular Visible Light Communication Channel Characterization. - Barbara Franci, Sergio Grammatico:
Convergence of sequences: a survey. - Jessica Pointing, Oded Padon, Zhihao Jia, Henry Ma, Auguste Hirth, Jens Palsberg, Alex Aiken:
Quanto: Optimizing Quantum Circuits with Automatic Generation of Circuit Identities. - Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs:
4D iterative reconstruction of brain fMRI in the moving fetus. - Stefan Glock, David Munhá Correia, Benny Sudakov:
The n-queens completion problem. - Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan:
Implicit Quantile Neural Networks for Jet Simulation and Correction. - V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan:
FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone. - Marco Leoni, Emille E. O. Ishida, Julien Peloton, Anais Möller:
Fink: early supernovae Ia classification using active learning. - Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn:
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. - Luigi Brugnano, Cecilia Magherini:
Metodi Iterativi per Sistemi Lineari. - Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai:
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning. - Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia:
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. - Ali Momennasab:
Machine Learning for Mars Exploration. - Anna Kerekes, Anna Mészáros, Ferenc Huszár:
Depth Without the Magic: Inductive Bias of Natural Gradient Descent. - Earl S. Lester, Lawrence K. Forbes:
The unstable temporal development of axi-symmetric jets of incompressible fluid. - Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang:
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network. - Sebastian Braun, Hannes Gamper:
Effect of noise suppression losses on speech distortion and ASR performance. - Shumon Koga, Miroslav Krstic:
State Estimation of the Stefan PDE: A Tutorial on Design and Applications to Polar Ice and Batteries. - Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. - David Cortes:
Isolation forests: looking beyond tree depth. - Devina Mohan, Anna M. M. Scaife:
Weight Pruning and Uncertainty in Radio Galaxy Classification. - Xingzheng Lyu, Li Cheng, Sanyuan Zhang:
The RETA Benchmark for Retinal Vascular Tree Analysis. - Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren:
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Caifa Zhou, Xiya Cao, Dandan Zeng, Yongliang Wang:
RIO: Rotation-equivariance supervised learning of robust inertial odometry. - Zhao You, Shulin Feng, Dan Su, Dong Yu:
SpeechMoE2: Mixture-of-Experts Model with Improved Routing. - Naoya Ozaki, Kanta Yanagida, Takuya Chikazawa, Nishanth Pushparaj, Naoya Takeishi, Ryuki Hyodo:
Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks. - Del Rajan:
Quantum time inversion to prevent DDoS attacks: A potentially realizable TENET technology. - Constance Fourcade, Ludovic Ferrer, Noémie Moreau, Gianmarco Santini, Aishlinn Brennan, Caroline Rousseau, Marie Lacombe, Vincent Fleury, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Diana Mateus:
Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. - Thomas McKenzie, Leo McCormack, Christoph Hold:
Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis. - Jizhen Cai, Hermine Chatoux, Clotilde Boust, Alamin Mansouri:
Extending the Unmixing methods to Multispectral Images. - Barnaby Martin, Daniël Paulusma, Siani Smith:
Colouring Generalized Claw-Free Graphs and Graphs of Large Girth: Bounding the Diameter. - Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin:
Is Deep Image Prior in Need of a Good Education? - Harsh Kumar, Jithu Chandran:
Is Shapley Explanation for a model unique? - László Györfi, Aryeh Kontorovich, Roi Weiss:
Tree density estimation. - Péter L. Erdös, Shubha R. Kharel, Tamás Róbert Mezei, Zoltán Toroczkai:
Degree-preserving graph dynamics - a versatile process to construct random networks. - Carl Feghali:
A note on Matching-Cut in Pt-free Graphs. - Gargya Gokhale, Bert Claessens, Chris Develder:
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings. - Ye Liu, Sophia J. Wagner, Tingying Peng:
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. - Thomas S. Richardson, Yu Liu, James McQueen, Doug Hains:
Bayesian Sample Size Prediction for Online Activity. - Minseok Kim, Woo-Sung Choi, Jaehwa Chung, Daewon Lee, Soonyoung Jung:
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing. - Rachel Lea Draelos, Lawrence Carin:
Explainable multiple abnormality classification of chest CT volumes with AxialNet and HiResCAM. - Subhrajit Sinha, Meghna Chakraborty:
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic. - Zhichao Wang, Qicong Xie, Tao Li, Hongqiang Du, Lei Xie, Pengcheng Zhu, Mengxiao Bi:
One-shot Voice Conversion For Style Transfer Based On Speaker Adaptation. - Erwin Riegler, Helmut Bölcskei, Günther Koliander:
Lossy Compression of General Random Variables. - Pavel Osinenko, Georgiy Malaniya, Grigory Yaremenko, Ilya Osokin:
A comment on stabilizing reinforcement learning. - Cécile Daversin-Catty, Ingeborg G. Gjerde, Marie E. Rognes:
Geometrically reduced modelling of pulsatile flow in perivascular networks. - Marc Goerigk, Michael Hartisch:
Combinatorial Optimization Problems with Balanced Regret. - Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland:
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. - Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang:
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes. - Valentin Durante, George Katsirelos, Thomas Schiex:
Efficient semidefinite bounds for multi-label discrete graphical models. - Yeong-Seok Jeong, Jinsung Kim, Woosung Choi, Jaehwa Chung, Soonyoung Jung:
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation. - Frank Hellmann, Ekaterina Zolotarevskaia, Jürgen Kurths, Jörg Raisch:
Probabilistic Behavioral Distance and Tuning - Reducing and aggregating complex systems. - Shudong Yang, Miaomiao Liu:
Mining Meta-indicators of University Ranking: A Machine Learning Approach Based on SHAP. - Martin Balko, Manfred Scheucher, Pavel Valtr:
Tight bounds on the expected number of holes in random point sets. - Tobías I. Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier:
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model. - Bart J. J. Kremers, Aaron Ho, Jonathan Citrin, Karel L. van de Plassche:
Two step clustering for data reduction combining DBSCAN and k-means clustering. - Si Ioi Ng, Rui-Si Ma, Tan Lee, Raymond Kim-Wai Sum:
Acoustical Analysis of Speech Under Physical Stress in Relation to Physical Activities and Physical Literacy. - Alice Allen:
Citation method, please? A case study in astrophysics. - Matthew B. Hastings:
A Classical Algorithm Which Also Beats 1/2 + 2/π 1/√D For High Girth MAX-CUT. - Hugo Lhachemi, Christophe Prieur:
Global Output Feedback Stabilization of Semilinear Reaction-Diffusion PDEs. - Zexin Pan, Art B. Owen:
Super-polynomial accuracy of one dimensional randomized nets using the median-of-means. - Rikhi Bose, Adam L. Pintar, Emil Simiu:
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach. - Jiawei Sun, Jiachen Wu, Nektarios Koukourakis, Robert Kuschmierz, Liangcai Cao, Jürgen Czarske:
Lensless multicore-fiber microendoscope for real-time tailored light field generation with phase encoder neural network (CoreNet). - Aanjaneya Kumar, Sandeep Chowdhary, Valerio Capraro, Matjaz Perc:
Evolution of honesty in higher-order social networks. - Gwendolyn Gettliffe, Adam Norige, Ted Londner, Jonathan Saunders, Dieter W. Schuldt, William W. Streilein:
Engineering and Implementation of SimAEN. - Farouk Mokhtar, Raghav Kansal, Daniel Diaz, Javier M. Duarte, Joosep Pata, Maurizio Pierini, Jean-Roch Vlimant:
Explaining machine-learned particle-flow reconstruction. - Steven Tsan, Raghav Kansal, Anthony Aportela, Daniel Diaz, Javier M. Duarte, Sukanya Krishna, Farouk Mokhtar, Jean-Roch Vlimant, Maurizio Pierini:
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance. - Tahir I. Yusufaly:
Extending the Relative Seriality Formalism for Interpretable Deep Learning of Normal Tissue Complication Probability Models. - Yucheng Zheng, M. Salman Asif:
Coded Illumination for Improved Lensless Imaging. - Tyler Farghly, Patrick Rebeschini:
Time-independent Generalization Bounds for SGLD in Non-convex Settings. - (Withdrawn) A novel time delay estimation algorithm of acoustic pyrometry for furnace.
- Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Michael K. Ng:
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN. - Meilin Imelda Tilukay:
Modular Irregularity Strength of Triangular Book Graph. - Junhui Cai, Dan Yang, Wu Zhu, Haipeng Shen, Linda Zhao:
Network regression and supervised centrality estimation. - Janet van Niekerk, Håvard Rue:
Correcting the Laplace Method with Variational Bayes. - Alireza Zolanvari, Ashish Cherukuri:
Data-driven distributionally robust iterative risk-constrained model predictive control. - Hadas Ben-Atya, Ori Rajchert, Liran Goshen, Moti Freiman:
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation. - Yi Zhang, Xianzheng Jia, Gongsheng Li:
Uniqueness in determination of the fractional order in the TFDE using one measurement. - Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle:
Bandit problems with fidelity rewards. - Tze-Yang Tung, Deniz Gündüz:
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission. - Jonghyeon Lee, Edward De Brouwer, Boumediene Hamzi, Houman Owhadi:
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series. - Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz:
DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding. - Tomasz Imielinski:
Ranking by Momentum based on Pareto ordering of entities. - Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken:
Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks. - Sagi Snir, Osnat Weissberg, Raphael Yuster:
On the quartet distance given partial information. - Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov:
A Novel Framework for Image-to-image Translation and Image Compression. - Manu Basavaraju, L. Sunil Chandran, Mathew C. Francis, Karthik Murali:
Variants of the Gyàrfàs-Sumner Conjecture: Oriented Trees and Rainbow Paths. - Matthew Skrzypczyk, Stephanie Wehner:
An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks. - Hamed Hatami, Pooya Hatami:
The Implicit Graph Conjecture is False. - Juan Manuel Mayor Torres, Sara E. Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi:
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism. - Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie:
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training. - Chris Cade, Farrokh Labib, Ido Niesen:
Quantum Motif Clustering. - Eric V. Strobl, Thomas A. Lasko:
Generalizing Clinical Trials with Convex Hulls. - Christopher Criscitiello, Nicolas Boumal:
Negative curvature obstructs acceleration for geodesically convex optimization, even with exact first-order oracles. - Xiangyu Meng, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Zixuan Wang, Xun Wang:
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction. - Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Volumetric Transformer for Accurate 3D Tumor Segmentation. - Jinsung Kim, Yeong-Seok Jeong, Woosung Choi, Jaehwa Chung, Soonyoung Jung:
Learning source-aware representations of music in a discrete latent space. - Markus Leitner, Ivana Ljubic, Michele Monaci, Markus Sinnl, Kübra Taninmis:
An Exact Method for Fortification Games. - Corentin Martens, Antonin Rovai, Daniele Bonatto, Thierry Metens, Olivier Debeir, Christine Decaestecker, Serge Goldman, Gaetan Van Simaeys:
Deep Learning for Reaction-Diffusion Glioma Growth Modelling: Towards a Fully Personalised Model? - Guilherme Ramos, A. Pedro Aguiar, Sérgio Pequito:
Minimum jointly structural input and output selection for strongly connected networks. - Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum, Kjersti Aas:
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features. - Zahra Fayyaz, Aya Altamimi, Sen Cheng, Laurenz Wiskott:
A model of semantic completion in generative episodic memory. - Oksana Firman, Joachim Spoerhase:
Hypergraph Representation via Axis-Aligned Point-Subspace Cover. - John Haslegrave:
Determining triangulations and quadrangulations by boundary distances. - Inês F. Guimarães:
On the transition monoid of the Stallings automaton of a subgroup of a free group. - Zeynep Tuna Deger, Gülsen Taskin Kaya:
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls. - Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu:
Machine learning-based porosity estimation from spectral decomposed seismic data. - Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Hidden Markov Modeling over Graphs. - Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven:
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. - Franz Thaler, Christian Payer, Horst Bischof, Darko Stern:
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements. - Anh Tuan Bui:
Conditional Manifold Learning. - Alexander Luce, Ali Mahdavi, Florian Marquardt, Heribert Wankerl:
TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization. - Keming Zhang, B. Scott Gaudi, Joshua S. Bloom:
A Ubiquitous Unifying Degeneracy in 2-body Microlensing Systems. - Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yuan Xie, Yufei Ding:
QECV: Quantum Error Correction Verification. - Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie:
Mapping Surface Code to Superconducting Quantum Processors. - Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie:
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. - Xiaoyu Zhang, Yike Guo:
OmiTrans: generative adversarial networks based omics-to-omics translation framework. - Yucong Zhang, Qingjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li:
Online Speaker Diarization with Graph-based Label Generation. - Cairong Chen, Dongmei Yu, Deren Han, Changfeng Ma:
A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations. - Marco Repetto, Davide La Torre, Muhammad Tariq:
Deep Learning with Multiple Data Set: A Weighted Goal Programming Approach. - Chengjing Wang, Peipei Tang:
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems. - Niccolò Tonicello, Rodrigo Costa Moura, Guido Lodato, Gianmarco Mengaldo:
Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows. - Aghdas Meghdadi, Mohammad Reza Akbarzadeh-Totonchi, Kourosh Javidan:
A Quantum-like Model for Predicting Human Decisions in the Entangled Social Systems. - Jie Liu, Jie Tang, Gangshan Wu:
AdaDM: Enabling Normalization for Image Super-Resolution. - Eleonora Donadini, Maria Strazzullo, Marco Tezzele, Gianluigi Rozza:
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition. - Manouchehr Zaker:
More relations between $λ$-labeling and Hamiltonian paths with emphasis on line graph of bipartite multigraphs. - Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution. - Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu:
An Ensemble Variational Fokker-Planck Method for Data Assimilation. - Andrea Pedrielli, Paolo E. Trevisanutto, Lorenzo Monacelli, Giovanni Garberoglio, Nicola M. Pugno, Simone Taioli:
Understanding Anharmonic Effects on Hydrogen Desorption Characteristics of Mg$_n$H$_{2n}$ Nanoclusters by ab initio trained Deep Neural Network. - Fabio Broccatelli, Richard Trager, Michael Reutlinger, George Karypis, Mufei Li:
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces. - Filippo Pellegrino:
Factor-augmented tree ensembles. - Xubo Yue, Raed Al Kontar:
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. - Daowen Qiu:
Learning Quantum Finite Automata with Queries. - Erdong Guo, David Draper:
Neural Tangent Kernel of Matrix Product States: Convergence and Applications. - John Kevin Cava, John W. Vant, Nicholas Ho, Ankita Shulka, Pavan K. Turaga, Ross Maciejewski, Abhishek Singharoy:
Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics. - Chenyi Zhang, Tongyang Li:
Escape saddle points by a simple gradient-descent based algorithm. - Romain Guillaume, Adam Kasperski, Pawel Zielinski:
Distributionally robust possibilistic optimization problems. - Yue Wu, Chenggui Yuan:
The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations. - Yumeng Zhang, Bruno Clerckx:
Waveform Optimization for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities. - Uria Mor, Yotam Cohen, Rafael Valdes-Mas, Denise Kviatcovsky, Eran Elinav, Haim Avron:
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization. - Claude Bardos, François Golse, Olivier Pironneau:
Remarks on the Radiative Transfer Equations for Climatology. - Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
On data-driven control: informativity of noisy input-output data with cross-covariance bounds. - Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik:
Transfer Learning with Jukebox for Music Source Separation. - Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King:
Long-range and hierarchical language predictions in brains and algorithms. - Juan Luis Varona:
On the Solution of the Equation $n = ak + bp_k$ by Means of an Iterative Method. - Anabeth P. Radünz, Thiago L. T. da Silveira, Fábio M. Bayer, Renato J. Cintra:
Data-independent Low-complexity KLT Approximations for Image and Video Coding. - Anabeth P. Radünz, Fábio M. Bayer, Renato J. Cintra:
Low-complexity Rounded KLT Approximation for Image Compression. - Paria Mehrani, John K. Tsotsos:
Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain. - Hao Li, Jianan Liu:
3D High-Quality Magnetic Resonance Image Restoration in Clinics Using Deep Learning. - Tassilo Schwarz:
Randomized Controlled Trials Under Influence: Covariate Factors and Graph-Based Network Interference. - Yahya Alnashri:
Convergence Analysis For Non Linear System Of Parabolic Variational Inequalities. - Alice Allen:
SciCodes: Astronomy Research Software and Beyond. - Minh Tu Hoang, Brosnan Yuen, Kai Ren, Ahmed M. Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy Tarimala:
Passive Indoor Localization with WiFi Fingerprints. - Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip E. Bourne, Lei Xie:
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology. - Kotaro Kamiya, John Welliaveetil:
A category theory framework for Bayesian learning. - Koushik Sivarama Krishnan, Karthik Sivarama Krishnan:
SwiftSRGAN - Rethinking Super-Resolution for Efficient and Real-time Inference. - Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler:
Estimating earthquake-induced tsunami inundation probabilities without sampling. - Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Dae-Shik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. - Fucai Lin, Xiyan Cao, Jinjin Li:
The language of pre-topology in knowledge spaces. - Spencer Angus Thomas:
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion. - Hasan Khandani, Farshid Khojasteh:
An iterative method for estimation the roots of real-valued functions. - Tiesong Zhao, Weize Feng, Hongji Zeng, Yuzhen Niu, Jiaying Liu:
Deep Video Coding with Dual-Path Generative Adversarial Network. - Steven Finch:
Rounds, Color, Parity, Squares. - Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
Understanding over-squashing and bottlenecks on graphs via curvature. - Iryna Gurevych, Michael Kohler, Gözde Gül Sahin:
On the rate of convergence of a classifier based on a Transformer encoder. - Michael Arbel, Julien Mairal:
Amortized Implicit Differentiation for Stochastic Bilevel Optimization. - Ian T. Vidamour, Matthew O. A. Ellis, David Griffin, Guru Venkat, Charles Swindells, Richard W. S. Dawidek, Thomas J. Broomhall, Nina-Juliane Steinke, Joshaniel F. K. Cooper, Francisco Maccherozzi, Sarnjeet S. Dhesi, Susan Stepney, Eleni Vasilaki, Dan A. Allwood, Thomas J. Hayward:
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics. - Siyuan Liu, Mehmet Orcun Yalcin, Hsuan Fu, Xiuyi Fan:
An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques. - Sékou-Oumar Kaba, Benjamin Groleau-Paré, Marc-Antoine Gauthier, André-Marie Tremblay, Simon Verret, Chloé Gauvin-Ndiaye:
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests. - (Withdrawn) Optimal and $H_\infty$ Control of Stochastic Reaction Networks.
- Michael Anastos:
Fast algorithms for solving the Hamilton Cycle problem with high probability. - Lingxiao Wang, Shuzhe Shi, Kai Zhou:
Reconstructing spectral functions via automatic differentiation. - Michael Anastos:
A fast algorithm on average for solving the Hamilton Cycle problem. - Ibrahim Chahrour, James D. Wells:
Function Approximation for High-Energy Physics: Comparing Machine Learning and Interpolation Methods. - Shuaifeng Jiang, Ahmed Alkhateeb:
Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment. - Yue Wu, Abraham Olvera Barrios, Ryan Yanagihara, Irene Leung, Marian Blazes, Adnan Tufail, Aaron Y. Lee:
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs. - Umut Demirhan, Ahmed Alkhateeb:
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems. - Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel:
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding? - Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lars Hernquist, Federico Marinacci, David N. Spergel, Mark Vogelsberger, Desika Narayanan:
Weighing the Milky Way and Andromeda with Artificial Intelligence. - Shu Guo, Lin Pang:
High-Speed Light Focusing through Scattering Medium by Cooperatively Accelerated Genetic Algorithm. - Sajith Rajapaksa, Farzad Khalvati:
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours. - Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. - Igor Samokhin, Tatiana Yakushkina, Dmitry Markin, Alexander S. Bratus:
Fitness landscape adaptation in open replicator systems with competition: application to cancer therapy. - Kolja Knauer, Hoang La, Petru Valicov:
Feedback vertex sets in (directed) graphs of bounded degeneracy or treewidth. - Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Network Traffic Shaping for Enhancing Privacy in IoT Systems. - Chuang Niu, Ge Wang:
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. - Zhuolin Wang, Keyou You, Zhengli Wang, Kanglin Liu:
Multi-period facility location and capacity planning under $\infty$-Wasserstein joint chance constraints in humanitarian logistics. - Tamal K. Dey, Woojin Kim, Facundo Mémoli:
Computing Generalized Rank invariant for 2-Parameter Persistence Modules via Zigzag Persistence and its Applications. - Yunpeng Li:
Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis. - Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Robust Control of Linear Dynamical Systems with Prediction. - Tong Chen, Sheng Wang:
SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification. - Carter Knutson, Mridula Bontha, Jenna A. Bilbrey, Neeraj Kumar:
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks. - Tianze Zheng, Weihao Gao, Chong Wang:
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. - Alex Liu, Laura Waller, Yi Xue:
Sparse deep computer-generated holography for optical microscopy. - Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven:
HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials. - Chung-Ching Lin, Veljko Boljanovic, Han Yan, Erfan Ghaderi, Mohammad Ali Mokri, Jayce Jeron Gaddis, Aditya Wadaskar, Chase Puglisi, Soumen Mohapatra, Qiuyan Xu, Sreeni Poolakkal, Deukhyoun Heo, Subhanshu Gupta, Danijela Cabric:
Wideband Beamforming with Rainbow Beam Training using Reconfigurable True-Time-Delay Arrays for Millimeter-Wave Wireless. - Shangjia Zhang, Zhaohuan Zhu, Mingon Kang:
PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks. - Qiaosi Yi, Jinhao Liu, Le Hu, Faming Fang, Guixu Zhang:
Contrastive Learning for Local and Global Learning MRI Reconstruction. - Claudius Gros:
Emotions as abstract evaluation criteria in biological and artificial intelligences. - Alex Davies, András Juhász, Marc Lackenby, Nenad Tomasev:
The signature and cusp geometry of hyperbolic knots. - Marie Brière, Clémence Alasseur, Joseph Mikael, Carl Remlinger:
Expert Aggregation for Financial Forecasting. - Jianian Wang, Sheng Zhang, Yanghua Xiao, Rui Song:
A Review on Graph Neural Network Methods in Financial Applications. - Natália Alves, Megan Schuurmans, Geke Litjens, Joeran S. Bosma, John Hermans, Henkjan Huisman:
Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. - Jérôme Darbon, Gabriel Provencher Langlois:
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms. - David S. Smith, Joel Kullberg, Johan Berglund, Malcolm J. Avison, E. Brian Welch:
Robust and Automated Method for Spike Detection and Removal in Magnetic Resonance Imaging. - Heribert Wankerl, Christopher Wiesmann, Laura Kreiner, Rainer Butendeich, Alexander Luce, Sandra Sobczyk, Maike Lorena Stern, Elmar Wolfgang Lang:
Playing Ping Pong with Light: Directional Emission of White Light. - Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden:
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. - Dimitrios Karkalousos, S. Noteboom, H. E. Hulst, Franciscus M. Vos, Matthan W. A. Caan:
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction. - Johannes Blümlein, Marco Saragnese, Carsten Schneider:
Hypergeometric Structures in Feynman Integrals. - Shalev Lifshitz, Abtin Riasatian, Hamid R. Tizhoosh:
Gram Barcodes for Histopathology Tissue Texture Retrieval. - Vishal Nagarajan, Ashwini Muralidharan, Deekshitha Sriraman, S. Pravin Kumar:
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices. - Veronica Piccialli, Anna Russo Russo, Antonio Maria Sudoso:
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering. - María Vicenta Ferrer, Salvador Hernández:
Homomorphic encoders of profinite abelian groups II. - Uzi Pereg, Christian Deppe, Holger Boche:
The Quantum Multiple-Access Channel with Cribbing Encoders. - Markus Pfeil, Thomas Slawig:
Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model. - Graham R. Enos, Matthew J. Reagor, Maxwell P. Henderson, Christina Young, Kyle Horton, Mandy Birch, Chad Rigetti:
Synthetic weather radar using hybrid quantum-classical machine learning. - Evgeny Bobrov, Alexander Markov, Dmitry Vetrov:
Variational Autoencoders for Studying the Manifold of Precoding Matrices with High Spectral Efficiency. - Maxwell X. Cai, Simon Portegies Zwart, Damian Podareanu:
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem. - MohammadAmin Fazli, Parsa Alian, Ali Owfi, Erfan Loghmani:
RPS: Portfolio Asset Selection using Graph based Representation Learning. - Jun Ma, Huanfeng Shen, Penghai Wu, Jingan Wu, Meiling Gao, Chunlei Meng:
Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data. - Jiabei Fan, Rui Chen, Wen-Xuan Long, Marco Moretti, Jiandong Li:
Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning. - X. Y. Han, Adrian S. Lewis:
Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization. - Gábor Bíró, Bence Tankó-Bartalis, Gergely Gábor Barnaföldi:
Studying Hadronization by Machine Learning Techniques. - Vadim Lebovici:
Hybrid transforms of constructible functions. - Daniel Dadush, Zhuan Khye Koh, Bento Natura, László A. Végh:
On Circuit Diameter Bounds via Circuit Imbalances.
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