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ORCIDCoRR, August 2021
- Balachandar S., Chinnaiyan R.:
Secure solutions for Smart City Command Control Centre using AIOT. - Yunfeng Bai, Qingqing Zhang, Wei Wang, Riqing Chen, Qingwen Liu:
Long-Range Optical Wireless Information and Power Transfer. - Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. - Sebastian Kotstein, Justus Bogner:
Which RESTful API Design Rules Are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts. - Xiangbo Meng, Kang Gao, Bertrand M. Hochwald:
A Training-Based Mutual Information Lower Bound for Large-Scale Systems. - Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems. - Faisal Alamri, Anjan Dutta:
Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning. - Gonzalo Gonzalez de Diego, Patrick E. Farrell, Ian J. Hewitt:
On the finite element approximation of a semicoercive Stokes variational inequality arising in glaciology. - Dário Augusto Borges Oliveira, Jorge Guevara Diaz
, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. - Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. - Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the orthogonal group for recurrent neural network training. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment. - Rafael C. e Silva, Nuno Fachada, Diogo de Andrade, Nélio Códices:
Procedural Generation of 3D Maps with Snappable Meshes. - Skye Morgan, Tharindu Ranasinghe, Marcos Zampieri:
WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. - Fábio Luiz Usberti, Celso Cavellucci, Christiano Lyra:
Interruption flows for reliability evaluation of power distribution networks. - Nicolas Bousquet, Laurent Feuilloley, Théo Pierron:
Local certification of graph decompositions and applications to minor-free classes. - Jie Lei, Tamara L. Berg, Mohit Bansal:
MTVR: Multilingual Moment Retrieval in Videos. - Jerry Chee, Megan Renz, Anil Damle, Chris De Sa:
Pruning Neural Networks with Interpolative Decompositions. - Ajay Kulkarni, Deri Chong, Feras A. Batarseh:
Foundations of data imbalance and solutions for a data democracy. - Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. - Fasma Diele, Ilenia Luiso, Carmela Marangi, Angela Martiradonna:
Evaluating the impact of increasing temperatures on changes in Soil Organic Carbon stocks: sensitivity analysis and non-standard discrete approximation. - Yasamin Moghaddas, Tommy Nguyen, Shih-Yuan Yu, Rozhin Yasaei, Mohammad Abdullah Al Faruque:
Technical Report for HW2VEC - A Graph Learning Tool for Automating Hardware Security. - Michalis Kallitsis, Vasant G. Honavar, Rupesh Prajapati, Dinghao Wu, John Yen:
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes. - Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes:
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms. - Stefan Hoffmann:
Computational Complexity of Synchronization under Sparse Regular Constraints. - Ravi Teja Gadde, Ivan Bulyko:
Towards Continual Entity Learning in Language Models for Conversational Agents. - Taosha Fan, Todd D. Murphey:
Majorization Minimization Methods for Distributed Pose Graph Optimization. - Awni Y. Hannun:
The History of Speech Recognition to the Year 2030. - Brittany Froese Hamfeldt, Axel G. R. Turnquist:
A Convergent Numerical Method for the Reflector Antenna Problem via Optimal Transport on the Sphere. - Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets:
Tensor-Train Density Estimation. - Benedikt Maderbacher, Roderick Bloem:
Reactive Synthesis Modulo Theories Using Abstraction Refinement. - Wilder E. Castellanos, Jose Macias, Harold Pinilla, José David Alvarado:
Internet of things: a multiprotocol gateway as solution of the interoperability problem. - Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. - Juan Carlos García-Escartín, Vicent Gimeno, Julio José Moyano-Fernández:
Quantum collision finding for homomorphic hash functions. - Hung Le, Shay Solomon:
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. - Alexander Grushin, Walt Woods:
Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats. - Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo:
Structural Guidance for Transformer Language Models. - Mostafa Parchami, Saif Iftekar Sayed:
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks. - Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs:
Soft Calibration Objectives for Neural Networks. - Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber:
Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study. - Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson:
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. - Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
Margin-Aware Intra-Class Novelty Identification for Medical Images. - Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft:
Structure Amplification on Multi-layer Stochastic Block Models. - Xin-Yang Liu, Jian-Xun Wang:
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. - Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler:
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks. - Abhishek Goudar, Angela P. Schoellig:
Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization. - Thomas Watson, Bibek Poudel:
Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning. - Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha:
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification. - Rob van Glabbeek, Peter Höfner, Weiyou Wang:
Enabling Preserving Bisimulation Equivalence. - Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. - Lantao Yu, Kuida Liu, Michael T. Orchard:
Manifold-Inspired Single Image Interpolation. - Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. - Sumesh Kumar, Fahad Saeed:
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification. - Francesco Malandrino, Alessandro Nordio, Carla-Fabiana Chiasserini:
Eavesdropping with Intelligent Reflective Surfaces: Threats and Defense Strategies. - Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Scene Inference for Object Illumination Editing. - Kihwan Kim:
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems. - Bogdan Marinescu, Oriol Gomis-Bellmunt, Florian Dörfler, Horst Schulte, Lukas Sigrist:
Dynamic Virtual Power Plant: A New Concept for Grid Integration of Renewable Energy Sources. - Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. - Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. - Vidhi Jain, Prakhar Agarwal, Shishir G. Patil, Katia P. Sycara:
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation. - Fengping Wang, Jie Li, Chun Qi, Yun Zhang, Danmin Miao:
A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation. - Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan:
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification. - Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. - Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang:
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. - Wei Zhang, He Dong, Yunlang Xu, Xiaoping Li:
Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case. - Tommaso Buvoli, Michael L. Minion:
On the Stability of Exponential Integrators for Non-Diffusive Equations. - Jingxian Sun, Lichao Zhang, Yufei Zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang:
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking. - Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li:
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model. - Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. - Varsha Suresh, Desmond C. Ong:
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. - Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li:
HiFT: Hierarchical Feature Transformer for Aerial Tracking. - Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. - Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk:
The Separation Capacity of Random Neural Networks. - Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. - Yu Zhou, Xiaoqing Zhang, Juanjuan Shen, Tingting Han, Taolue Chen, Harald C. Gall:
Adversarial Robustness of Deep Code Comment Generation. - Rui Gong, Kazunori Hase:
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering. - Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Freezing Sub-Models During Incremental Process Discovery: Extended Version. - Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - (Withdrawn) Solving Constrained Horn Clauses over ADTs by Finite Model Finding.
- Dorra Ben Khalifa, Matthieu Martel:
A Study of the Floating-Point Tuning Behaviour on the N-body Problem. - Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang:
Distributed Learning for Time-varying Networks: A Scalable Design. - Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Debiasing Samples from Online Learning Using Bootstrap. - Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. - Joseph Marvin Imperial, Ethel Ong:
Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts. - Kayleigh Boekhoudt, Alina Matei, Maya Aghaei, Estefanía Talavera:
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos. - Moira Shooter, Charles Malleson, Adrian Hilton:
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation. - Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker:
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Peng Wu, Julius S. Partridge, Enrico Anderlini, Yuanchang Liu, Richard W. G. Bucknall:
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning. - Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin:
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. - Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. - Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, Dinesh Manocha:
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning. - Yoshiki Kubotani, Yoshihiro Fukuhara, Shigeo Morishima:
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions. - Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee:
Opinion Prediction with User Fingerprinting. - Muhammad Monjurul Karim, Yu Li, Ruwen Qin:
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents. - Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. - Christian Ellis, Maggie B. Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. - Ana-Maria Bucur, Ioana R. Podina, Liviu P. Dinu:
A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media. - Davide Ancona, Pietro Barbieri, Elena Zucca:
Enhanced Regular Corecursion for Data Streams. - Santolo Leveque, John W. Pearson:
Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. - Zherong Pan, Duo Zhang, Changhe Tu, Xifeng Gao:
Planning of Power Grasps Using Infinite Program Under Complementary Constraints. - Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza:
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles. - Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling:
Inverse Reinforcement Learning for Strategy Identification. - Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy:
Fair Representation Learning using Interpolation Enabled Disentanglement. - Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. - Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan:
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. - You-Wei Luo, Chuan-Xian Ren:
Conditional Bures Metric for Domain Adaptation. - Song Zhang, Amritanshu Pandey, Xiaochuan Luo, Maggy Powell, Ranjan Banerji, Lei Fan, Abhineet Parchure, Eduardo Luzcando:
Practical Adoption of Cloud Computing in Power Systems - Drivers, Challenges, Guidance, and Real-world Use Cases. - Mika Hämäläinen, Khalid Al-Najjar:
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers. - Chao Liu, Sencheng Yu, Mark Yim:
Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion. - Gil Ben Zvi, Eyal Leizerovich, Nimrod Talmon:
Iterative Deliberation via Metric Aggregation. - Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. - Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski:
StudyMe: A New Mobile App for User-Centric N-of-1 Trials. - Wenda Zhou, Shirin Jalali, Arian Maleki:
Compressed sensing in the presence of speckle noise. - Kaiyi Ji:
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis. - Jinyan Su, Di Wang:
Faster Rates of Differentially Private Stochastic Convex Optimization. - Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood, Syed Ali Hassan, JongWon Kim, Mikael Gidlund:
Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions. - Kelvin Cheng, Christopher G. Healey, Tianfu Wu:
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. - Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury:
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction. - Renata Souza, Orges Cico, Ivan Machado:
A Survey on Software Engineering Practices in Brazilian Startups. - Hanzhang Wang, Zhengkai Wu, Huai Jiang, Yichao Huang, Jiamu Wang, Selçuk Köprü, Tao Xie:
Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings. - Max Rudolph, Sonia Chernova, Harish Ravichandar:
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. - Michael Zechmair, Yannick Morel:
Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping. - Kaibing Yang, Renshu Gu, Masahiro Toyoura, Gang Xu:
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering. - Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning. - Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov:
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. - Chiyu Zhang, Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi:
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning. - Jinghua Zhang, Chen Li, Marcin Grzegorzek:
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. - Sibo Zhu, Handong Zhao, Hongfu Liu:
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. - Nam Yul Yu:
Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity. - Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu:
Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions. - Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee. - Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-aware State Estimation in Autonomous Vehicles. - Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. - (Withdrawn) An adaptive kernel-split quadrature method for parameter-dependent layer potentials.
- Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
SPEAR : Semi-supervised Data Programming in Python. - Gil Shapira, Noga Levy, Ishay Goldin, Roy Josef Jevnisek:
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment. - Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, Hsin-Min Wang:
SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours. - Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. - Shakeeb Ahmad, Andrew B. Mills, Eugene R. Rush, Eric W. Frew, J. Sean Humbert:
3D Reactive Control and Frontier-Based Exploration for Unstructured Environments. - Yuhang Guo, Dong Hao:
Emerging Methods of Auction Design in Social Networks. - Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini, Charles Ofria:
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications. - Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Transformer-based deep imitation learning for dual-arm robot manipulation. - Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. - Haozhe Su, Tao Xue, Chengguizi Han, Mridul Aanjaneya:
A-ULMPM: An Arbitrary Updated Lagrangian Material Point Method for Efficient Simulation of Solids and Fluids. - Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein:
Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information. - Issac Sim, Ju-Hyung Lim, Young-Wan Jang, Ji-Hwan You, Seon Taek Oh, Young-Keun Kim:
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System. - Zhoubo Xu, Puqing Chen, Romain Raveaux, Xin Yang, Huadong Liu:
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ? - Liguang Zhou, Jun Cen, Xingchao Wang, Zhenglong Sun, Tin Lun Lam, Yangsheng Xu:
BORM: Bayesian Object Relation Model for Indoor Scene Recognition. - Bo Miao, Liguang Zhou, Ajmal Mian, Tin Lun Lam, Yangsheng Xu:
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition. - Binlong Zhang, Wei Zhou:
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text. - Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah:
Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. - Julian Theis, Houshang Darabi:
Masking Neural Networks Using Reachability Graphs to Predict Process Events. - Wei-Chang Yeh:
Computation of the Activity-on-Node Binary-State Reliability with Uncertainty Components. - Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong:
Discovering "Semantics" in Super-Resolution Networks. - Haitong Tang, Shuang He, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang:
CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation. - Alexander B. Veretennikov:
Relevance ranking for proximity full-text search based on additional indexes with multi-component keys. - Barbora Hudcová, Tomás Mikolov:
Computational Hierarchy of Elementary Cellular Automata. - Andrea Albanese, Matteo Nardello, Davide Brunelli:
Automated Pest Detection with DNN on the Edge for Precision Agriculture. - Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang:
An Effective and Robust Detector for Logo Detection. - Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou, Dimitrios Zarpalas, Barnabás Takács, Christian Fuhrhop, Angelo Manfredi, Nicolas Patz, Simona Tonoli, Iana Dulskaia:
Hyper360 - a Next Generation Toolset for Immersive Media. - Stanislav Kikot, Agi Kurucz, Vladimir V. Podolskii, Michael Zakharyaschev:
Deciding boundedness of monadic sirups. - Zhixiong Jin, Seongjin Choi, Hwasoo Yeo:
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach. - Madhav P. Desai, Aniket Anand Deshmukh:
An efficient reverse-lookup table based strategy for solving the synonym and cache coherence problem in virtually indexed, virtually tagged caches. - Lukas Schneider, Johannes Scholten, Bulcsú Sándor, Claudius Gros:
Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments. - Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang:
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. - Manuel Bodirsky, Simon Knäuer, Jakub Rydval:
Amalgamation is Undecidable. - Muhammad Iqbal Rochman, Vanlin Sathya, Norlen Nunez, Damián Fernández, Monisha Ghosh, Ahmed S. Ibrahim, William Payne:
A Comparison Study of Cellular Deployments in Chicago and Miami Using Apps on Smartphones. - Yifan Zhao, Le Hui, Jin Xie:
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering. - Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. - Chandan Kumar Sheemar, Dirk T. M. Slock:
Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel. - Ling He, Miaowen Wen, Yingyang Chen, Bingli Jiao:
Delay Aware Secure Offloading for NOMA-Assisted Mobile Edge Computing in Internet of Vehicles. - Trung X. Pham, Rusty John Lloyd Mina, Dias Issa, Chang D. Yoo:
Self-supervised Learning with Local Attention-Aware Feature. - Yasir Ali Farrukh, Irfan Khan, Zeeshan Ahmad, Rajvikram Madurai Elavarasan:
A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System. - Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang:
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise. - Fidan Mehmeti, Thomas F. La Porta:
Modeling and Analysis of mMTC Traffic in 5G Base Stations. - Anthony Bordg, Nicolò Cavalleri:
Elements of Differential Geometry in Lean: A Report for Mathematicians. - Matt Franchi:
Webots.HPC: A Parallel Robotics Simulation Pipeline for Autonomous Vehicles on High Performance Computing. - Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Roman Ibrahimov, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarmPlay: A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human. - Fernando Llorente, Luca Martino, Jessa Read, David Delgado:
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. - Huimin Zeng, Jiahao Su, Furong Huang:
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. - Jinming Wen, Xiao-Wen Chang:
On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model. - D. Oniz, Y. L. Mo, Kalyana B. Nakshatrala:
Shapley values and machine learning to characterize metamaterials for seismic applications. - Prithwiraj Bhattacharjee, Rajan Saha Raju, Arif Ahmad, M. Shahidur Rahman:
End to End Bangla Speech Synthesis. - Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways. - Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos:
Correlation of biological and computer viruses through evolutionary game theory. - Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. - Alexander Dietsche, Giovanni Cioffi, Javier Hidalgo-Carrió, Davide Scaramuzza:
Powerline Tracking with Event Cameras. - Bowen Wen, Kostas E. Bekris:
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models. - Juhani Risku:
Improving the performance of early-stage software startups: Design and creativity viewpoints. - Frank Uhlig, An-Bao Xu:
Iterative optimal solutions of linear matrix equations for Hyperspectral and Multispectral image fusing. - Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. - Ronalds Zakovskis, Andis Draguns, Eliza Gaile, Emils Ozolins, Karlis Freivalds:
Gates are not what you need in RNNs. - Ehsan Moradi, Debajyoti Mondal:
BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs. - Arjen T. Veenstra, Albert H. Schrotenboer, Michiel A. J. uit het Broek, Evrim Ursavas:
Green Hydrogen Plant: Optimal control strategies for integrated hydrogen storage and power generation with wind energy. - Olga Kellert, Nicholas H. Matlis:
Geolocation differences of language use in urban areas. - Mohamed Camil Belhadjoudja:
Fuzzy-based Higher Adaptive Order Sliding Mode Observers. - Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli, Addison W. Bohannon:
A Reinforcement Learning Approach for Scheduling in mmWave Networks. - Tam N. Nguyen:
Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity. - Peng Yin, Lingyun Xu, Ziyue Feng, Anton Egorov, Bing Li:
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding. - Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga, Christopher Frost, Luigi Carro, Paolo Rech:
Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs. - Lojze Zust, Matej Kristan:
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding. - Binayak Tiwari, Mei Yang, Yingtao Jiang, Xiaohang Wang:
Efficient On-Chip Multicast Routing based on Dynamic Partition Merging. - Gunnar Brataas, Antonio Martini, Geir Kjetil Hanssen, Georg Ræder:
Agile Elicitation of Scalability Requirements for Open Systems: A Case Study. - Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
FLASH: Fast Neural Architecture Search with Hardware Optimization. - Ramin Bashizade, Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck:
Accelerating Markov Random Field Inference with Uncertainty Quantification. - Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal:
MuSiQue: Multi-hop Questions via Single-hop Question Composition. - Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang:
Logic-Consistency Text Generation from Semantic Parses. - Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. - Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. - Junyu Gao, Maoguo Gong, Xuelong Li:
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer. - Khoi Nguyen, Yen Nguyen, Bao Le:
Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR. - Andrew Anderson, Rupika Dikkala, Tianyi Li, Mihaela Vorvoreanu, Margaret Burnett:
Understanding Diversity in Human-AI Data: What Cognitive Style Disaggregation Reveals. - Mohammad Goudarzi, Qifan Deng, Rajkumar Buyya:
Resource Management in Edge and Fog Computing using FogBus2 Framework. - Shunsuke Kobayashi, Shigetoshi Yazaki:
Convergence of a finite difference scheme for the Kuramoto-Sivashinsky equation defined on an expanding circle. - Dennis Jarvis, Jacqueline Jarvis, Chen-Wei Yang, Roopak Sinha, Valeriy Vyatkin:
Janus: A Systems Engineering Approach to the Design of Industrial Cyber-Physical Systems. - A. S. M. Iftekhar, Satish Kumar, R. Austin McEver, Suya You, B. S. Manjunath:
GTNet: Guided Transformer Network for Detecting Human-Object Interactions. - Debabrata Mahapatra, Vaibhav Rajan:
Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front. - Abhay Mohan M. V, Giridhar K:
Accurate Signal Recovery in UHF Band Reuse-1 Cellular OFDMA Downlinks. - Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang:
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network. - Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu:
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails. - Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar:
TabPert: An Effective Platform for Tabular Perturbation. - Jackie Shen:
Bucketed PCA Neural Networks with Neurons Mirroring Signals. - Yiju Yang, Taejoon Kim, Guanghui Wang:
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. - Xi Xie, Nian Li, Xiangyong Zeng, Xiaohu Tang, Yao Yao:
Several classes of bent functions over finite fields. - Harsh Tataria, Mansoor Shafi:
Simple Framework of ZF Precoding Analysis for Full-Dimensional Massive MIMO Systems. - Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling:
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth. - Shuhao Cao, Long Chen, Ruchi Guo, Frank Lin:
Immersed Virtual Element Methods for Elliptic Interface Problems. - Shi Qiu, Yunfan Wu, Saeed Anwar, Chongyi Li:
Investigating Attention Mechanism in 3D Point Cloud Object Detection. - Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie:
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. - Joongheon Kim, Yunseok Kwak, Soyi Jung, Jae-Hyun Kim:
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. - Jianqiu Zhang, Kaisong Huang, Tianzheng Wang, King Lv:
Skeena: Efficient and Consistent Cross-Engine Transactions. - Buser Say, Scott Sanner, Jo Devriendt, Jakob Nordström, Peter J. Stuckey:
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021. - Ge Wang, Yanxiang Zhang:
From "study with me" to study with you: how activities of Study With Me livestream on Bilibili facilitate SRL community. - Wenyang Xu, Guofa Cai, Yi Fang, Guanrong Chen:
Performance Analysis of a Two-Hop Relaying LoRa System. - Kalpit Yadav, Vipul Arora, Sonu Kumar Jha, Mohit Kumar, Sachchida Nand Tripathi:
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning. - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. - Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. - Lingchao Guo, Zhaoming Lu, Xiangming Wen, Liming Wang, David Gesbert, Zijun Han:
Leveraging Multiple Legacy Wi-Fi Links for Human Behavior Sensing. - Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang:
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews. - Victor Storchan, Svitlana Vyetrenko, Tucker Balch:
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators. - Henry Förster, Michael Kaufmann, Chrysanthi N. Raftopoulou:
Recognizing and Embedding Simple Optimal 2-Planar Graphs. - Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. - Yang Wang, Zhen Gao:
Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach. - Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin:
Towards Making Deep Learning-based Vulnerability Detectors Robust. - Botong Qu, Eugene Zhang, Yue Zhang:
Automatic Polygon Layout for Primal-Dual Visualization of Hypergraphs. - Anwen Liao, Zhen Gao, Yang Yang, Ha H. Nguyen, Hua Wang, Hao Yin:
Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications. - Fabio Stroppa, Mario Selvaggio, Nathaniel Agharese, Ming Luo, Laura H. Blumenschein, Elliot W. Hawkes, Allison M. Okamura:
Shared-Control Teleoperation Paradigms on a Soft Growing Robot Manipulator. - Qingsong Zhou, Hai Liang, Zhimin Lin, Kele Xu:
Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble. - Eike Fokken, Simone Göttlich, Michael Herty:
Efficient simulation of coupled gas and power networks under uncertain demands. - Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised Audiovisual Representation Learning for Remote Sensing Data. - Chinmay Rajhans, Sowmya Gupta:
Nonlinear Controller Design with Prediction Horizon Time Reduction Applied to Unstable CSTR System. - Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. - Tri Nguyen, Risto Katila, Tuan Nguyen Gia:
A Novel Internet-of-Drones and Blockchain-based System Architecture for Search and Rescue. - Huayan Zhang, Tianwei Zhang, Tin Lun Lam, Sethu Vijayakumar:
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time. - Jordan Inturrisi, Sui Yang Khoo, Abbas Z. Kouzani, Riccardo Pagliarella:
Piecewise Linear Units Improve Deep Neural Networks. - Yuwei Sun, Ng S. T. Chong, Hideya Ochiai:
Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks. - Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven:
Improving Deep Learning for HAR with shallow LSTMs. - Wei Ren, Julien Calbert, Raphaël M. Jungers:
Zonotope-based Controller Synthesis for LTL Specifications. - Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. - Viacheslav Osaulenko, Danylo Ulianych:
Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance. - Shai Gul, Reuven Cohen, Simi Haber:
Efficient covering of convex domains by congruent discs. - Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. - Jochen Gorski, Kathrin Klamroth, Julia Sudhoff:
Biobjective Optimization Problems on Matroids with Binary Costs. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Multi-Objective Path-Based D* Lite. - Cheng Gong, Zirui Li, Xingyu Zhou, Jiachen Li, Jianwei Gong, Junhui Zhou:
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot. - Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
ConveRT for FAQ Answering. - Renyuan Zhang, Zenghui Wang, Kai Cai:
N-Step Nonblocking Supervisory Control of Discrete-Event Systems. - Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. - Guillaume O. Berger, Raphaël M. Jungers:
Complexity of the LTI system trajectory boundedness problem. - Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms. - Jorge Justiniano, Marko Rajkovic, Martin Rumpf:
Splines for Image Metamorphosis. - Evgenii Safronov, Nicola A. Piga, Michele Colledanchise, Lorenzo Natale:
Active Perception for Ambiguous Objects Classification. - Emanuele De Angelis, Fabio Fioravanti, John P. Gallagher, Manuel V. Hermenegildo, Alberto Pettorossi, Maurizio Proietti:
Analysis and Transformation of Constrained Horn Clauses for Program Verification. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Multi-objective Conflict-based Search Using Safe-interval Path Planning. - Viktor Duplyakov, Anton D. Morozov, Dmitriy Popkov, Egor V. Shel, Albert L. Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory V. Paderin:
Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. - Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni:
Flip Learning: Erase to Segment. - Wanda Zhao, Anatol Pashkevich, Damien Chablat:
Non-linear stiffness modeling of multi-link compliant serial manipulator composed of multiple tensegrity segments. - Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Semantic-aware plant traversability estimation in plant-rich environments for agricultural mobile robots. - Haichou Chen, Yishu Deng, Bin Li, Zeqin Li, Haohua Chen, Bing-Zhong Jing, Chaofeng Li:
BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images. - Wanda Zhao, Anatol Pashkevich, Damien Chablat:
Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment. - Harin Lee, Frank Höger, Marc Schönwiesner, Minsu Park, Nori Jacoby:
Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms. - Jannis Bulling, Benjamin Jurgelucks, Jens Prager, Andrea Walther:
Defect reconstruction in a 2D semi-analytical waveguide model via derivative-based optimization. - Paul Grundmann, Sebastian Arnold, Alexander Löser:
Self-supervised Answer Retrieval on Clinical Notes. - (Withdrawn) Analysing digital in-memory computing for advanced finFET node.
- Md Afzal Ansari, Md. Meraz, Pavan Chakraborty, Mohammed Javed:
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud. - Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci:
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms. - Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov:
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling. - Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning. - Peter Kokol, Jernej Zavrsnik, Helena Blazun Vosner:
Identifying historical roots in paediatric echocardiography using RPYS. - Neil K. Chada, Håkon Hoel, Ajay Jasra, Georgios E. Zouraris:
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling. - Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie:
Training face verification models from generated face identity data. - Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. - Filiberto Fele, Ezequiel Debada, José María Maestre, Eduardo F. Camacho:
Coalitional Control for Self-Organizing Agents. - Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu:
Learn to Match: Automatic Matching Network Design for Visual Tracking. - Junyang Huang, Yongbo Wang, Yongliang Wang, Yang Dong, Yanghua Xiao:
Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL. - Hiroe Yamazaki, Hilary Weller, Colin J. Cotter, Philip A. Browne:
Conservation with moving meshes over orography. - Debendranath Das, Amudhan Muthaiah, Sushmita Ruj:
Blockchain-Enabled Secure and Smart HealthCare System. - Robert Schöne, Thomas Ilsche, Mario Bielert, Markus Velten, Markus Schmidl, Daniel Hackenberg:
Energy Efficiency Aspects of the AMD Zen 2 Architecture. - Matthias Grundmann, Max Baumstark:
Estimating the Node Degree of Public Peers and Detecting Sybil Peers Based on Address Messages in the Bitcoin P2P Network. - Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. - Alexander Felfernig:
AI Techniques for Software Requirements Prioritization. - Anum Talpur, Mohan Gurusamy:
Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles. - Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler:
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. - Chao Jiang, Canchen Jiang, Dongwei Chen, Fei Hu:
Densely connected neural networks for nonlinear regression. - Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. - Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. - Jayaram Raghuram, Yijing Zeng, Dolores García Martí, Somesh Jha, Suman Banerjee, Joerg Widmer, Rafael Ruiz Ortiz:
Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels. - Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui:
Shallow Attention Network for Polyp Segmentation. - Cole Vick, Eunsuk Kang, Stavros Tripakis:
Counterexample Classification. - Karla Saldana Ochoa, Tina Comes:
A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs. - Okan Özkan, Nick Würdemann:
Resilience of Well-structured Graph Transformation Systems. 69-88 - Rahul Meshram, Kesav Kaza:
Indexability and Rollout Policy for Multi-State Partially Observable Restless Bandits. - Eric Goubault, Sébastien Palumby, Sylvie Putot, Louis Rustenholz, Sriram Sankaranarayanan:
Static analysis of ReLU neural networks with tropical polyhedra. - Johannes Knittel, Steffen Koch, Thomas Ertl:
Efficient Sparse Spherical k-Means for Document Clustering. - Xiuchen Yu, Guanghui Hu, Wangtao Lu, Andreas Rathsfeld:
PML and high-accuracy boundary integral equation solver for wave scattering by a locally defected periodic surface. - Leopoldo E. Bertossi, Mostafa Milani:
Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimization. - Cedomir Stefanovic, Yash Deshpande, H. Murat Gürsu, Wolfgang Kellerer:
Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation. - Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang:
I2V-GAN: Unpaired Infrared-to-Visible Video Translation. - Majid Farhadi, Swati Gupta, Shengding Sun, Prasad Tetali, Michael C. Wigal:
Hardness and Approximation of Submodular Minimum Linear Ordering Problems. - Farhad Mehdifar, Charalampos P. Bechlioulis, Julien M. Hendrickx, Dimos V. Dimarogonas:
2-D Directed Formation Control Based on Bipolar Coordinates. - Kai Yue, Richeng Jin, Chau-Wai Wong, Huaiyu Dai:
Communication-Efficient Federated Learning via Predictive Coding. - (Withdrawn) Interactive Visual Facets to Support Fluid Exploratory Search.
- Jéferson Campos Nobre, Laura Rodrigues Soares, Briggette Olenka Roman Huaytalla, Elvandi da Silva Júnior, Lisandro Zambenedetti Granville:
On the Privacy of National Contact Tracing COVID-19 Applications: The Coronavírus-SUS Case. - Hazem Sallouha, Alessandro Chiumento, Sofie Pollin:
Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks. - Verena Häberle, Michael W. Fisher, Eduardo Prieto-Araujo, Florian Dörfler:
Control Design of Dynamic Virtual Power Plants: An Adaptive Divide-and-Conquer Approach. - Elias Grünewald:
Cloud Native Privacy Engineering through DevPrivOps. - Sören Bartels, Andrea Bonito, Peter Hornung:
Modeling and simulation of thin sheet folding. - Tommaso Vitali, Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni:
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem. - Adway Patra, Alexander Barg:
Node repair on connected graphs. - Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He:
A Survey of Human-in-the-loop for Machine Learning. - Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. - Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or:
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. - Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. - Saba Moeinizade, Hieu Pham, Ye Han, Austin Dobbels, Guiping Hu:
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions. - Benjamin Paaßen:
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs. - Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang:
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. - Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. - Aneesh K. Shetty, S. Krishna, Georg Zetzsche:
Scope-Bounded Reachability in Valence Systems. - Jordan Awan, Vinayak Rao:
Privacy-Aware Rejection Sampling. - Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Reliable Semantic Segmentation with Superpixel-Mix. - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. - Mehrdad Zareh, Xiaoping Qian:
C1 Triangular Isogeometric Analysis of the von Karman Equations. - Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Gianmarco Baldini, Antonio F. Skarmeta:
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges. - Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr:
Multilevel Knowledge Transfer for Cross-Domain Object Detection. - Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Constrained Shortest Path Search with Graph Convolutional Neural Networks. - Guillaume Durandau, Wolfgang Rampeltshammer, Herman van der Kooij, Massimo Sartori:
Neuromechanical model-based control of bi-lateral ankle exoskeletons: biological joint torque and electromyogram reduction across walking conditions. - Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Rajbir-Singh Nirwan, Shubham Kapoor, Valentin Flunkert, Jan Gasthaus, Tim Januschowski:
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series. - Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Mohsen Saffari, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. - Martin Cooney, Eric Järpe, Alexey V. Vinel:
"Robot Steganography"?: Opportunities and Challenges. - Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel:
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. - Jingqian Sun, Pei Wang, Zhiyong Gao, Zichu Liu, Yaxin Li, Xiaozheng Gan:
Wood-leaf classification of tree point cloud based on intensity and geometrical information. - Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia:
Sequoia: A Software Framework to Unify Continual Learning Research. - Marco Steinbrink, Philipp Koch, Bernhard Jung, Stefan May:
Rapidly-Exploring Random Graph Next-Best View Exploration for Ground Vehicles. - Reza Shafiloo, Marjan Kaedi, Ali Pourmiri:
Predicting user demographics based on interest analysis. - Marco Picchi Scardaoni, Fabio Magnacca, Andrea Massai, Vittorio Cipolla:
Aircraft turnaround time estimation in early design phases: simulation tools development and application to the case of box-wing architecture. - Fangchao Tian, Peng Liang, Muhammad Ali Babar:
Relationships between Software Architecture and Source Code in Practice: An Exploratory Survey and Interview. - Khalil Taheri, Hadi Moradi, Mostafa Tavassolipour:
A Framework for Multi-View Classification of Features. - Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou:
RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning. - Kevin Osanlou:
Learning off-road maneuver plans for autonomous vehicles. - Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi, Marco Aldinucci:
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Marco Ewerton, Ángel Martínez-González, Jean-Marc Odobez:
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning. - Jennifer Switzer, Barath Raghavan:
Information Batteries: Storing Opportunity Power with Speculative Execution. - Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin:
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search. - Amulya Musipatla, Ryan O'Donnell, Tselil Schramm, Xinyu Wu:
The SDP value of random 2CSPs. - Alexandra Ils, Dan Liu, Daniela Grunow, Steffen Eger:
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset. - Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. - Maoyuan Sun, Abdul Rahman Shaikh, Hamed Alhoori, Jian Zhao:
SightBi: Exploring Cross-View Data Relationships with Biclusters. - Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. - Nenglun Chen, Xingjia Pan, Runnan Chen, Lei Yang, Zhiwen Lin, Yuqiang Ren, Haolei Yuan, Xiaowei Guo, Feiyue Huang, Wenping Wang:
Distributed Attention for Grounded Image Captioning. - Anjum, Rahul Katarya:
Analysis of Online Toxicity Detection Using Machine Learning Approaches. - Tashvik Dhamija, Anjum, Rahul Katarya:
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech. - Anushka Gupta, Diksha Chugh, Anjum, Rahul Katarya:
Automated News Summarization Using Transformers. - Arka Mallick, Paul Plöger, Matias Valdenegro-Toro:
Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. - Alexandre Colle, Ronnie Smith, Scott MacLeod, Mauro Dragone:
Co-Design of Assistive Robotics with Additive Manufacturing and Cyber-Physical Modularity to Improve Trust. - Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave:
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance. - Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. - Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan:
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution. - Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision. - Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. - Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. - Ron Shmelkin, Tomer Friedlander, Lior Wolf:
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. - Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin:
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning. - Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. - Susanna Lange, Kyle Helfrich, Qiang Ye:
Batch Normalization Preconditioning for Neural Network Training. - Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe:
Pre-trained Models for Sonar Images. - Jiahong Yuan, Neville Ryant, Xingyu Cai, Kenneth Church, Mark Y. Liberman:
Automatic recognition of suprasegmentals in speech. - Jefferson R. Souza, Teresa Bernarda Ludermir:
Metodos de Agrupamentos em dois Estagios. - Sakib Mahmud Khan, Gurcan Comert, Mashrur Chowdhury:
Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles. - Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine, Ayse Turhan Comert, Diamon Rice, Gurcan Comert, Dimitra Michalaka, Judith Mwakalonge, Reek Majumdar, Mashrur Chowdhury:
Hybrid Quantum-Classical Neural Network for Incident Detection. - Jiahong Yuan, Xingyu Cai, Dongji Gao, Renjie Zheng, Liang Huang, Kenneth Church:
Decoupling recognition and transcription in Mandarin ASR. - Jiahong Yuan, Xingyu Cai, Renjie Zheng, Liang Huang, Kenneth Church:
The Role of Phonetic Units in Speech Emotion Recognition. - Andrei-Marius Avram, Vasile Florian Pais, Dan Tufis:
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors. - Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher:
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning. - Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy:
Pure Exploration in Multi-armed Bandits with Graph Side Information. - Ali Raheem Mandeel, Mohammed Salah Al-Radhi, Tamás Gábor Csapó:
Speaker Adaptation with Continuous Vocoder-based DNN-TTS. - Vishesh Jain, Will Perkins, Ashwin Sah, Mehtaab Sawhney:
Approximate counting and sampling via local central limit theorems. - Ali Shokri, Mehdi Mirakhorli:
DepRes: A Tool for Resolving Fully Qualified Names and Their Dependencies. - Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent Depth of Moving Objects in Video. - Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. - Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. - S. Shailja, Angela Zhang, B. S. Manjunath:
A computational geometry approach for modeling neuronal fiber pathways. - Zachary Ravichandran, Lisa Peng, Nathan Hughes, J. Daniel Griffith, Luca Carlone:
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks. - Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone:
Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning. - Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen:
Underreporting of errors in NLG output, and what to do about it. - Nesma M. Rezk, Tomas Nordström, Dimitrios Stathis, Zain Ul-Abdin, Eren Erdal Aksoy, Ahmed Hemani:
Multi-objective Recurrent Neural Networks Optimization for the Edge - a Quantization-based Approach. - Ilias Zenelis, Xiaozhe Wang:
Wide-Area Damping Control for Interarea Oscillations in Power Grids Based on PMU Measurements. - Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown:
Neural Image Representations for Multi-Image Fusion and Layer Separation. - Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes:
Multispectral Vineyard Segmentation: A Deep Learning approach. - Sébastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones:
PIRM: Processing In Racetrack Memories. - Claudia Martínez-de Miguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua:
The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms. - José Carlos Franceli, Silvia Novaes Zilber Turri:
Adoption Factors OF Ebabling I4.0 Technologies and Benefits in the Supply Chain. - Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak:
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. - Yuhua Zhu, Lexing Ying:
Variational Actor-Critic Algorithms. - Javier Nistal, Stefan Lattner, Gaël Richard:
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs. - Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer:
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems. - Xu Shun:
Two new lower bounds for the smallest singular value. - Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale. - Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. - Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. - Hansol Yoon, Sriram Sankaranarayanan:
Predictive Runtime Monitoring for Mobile Robots using Logic-Based Bayesian Intent Inference. - Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis:
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. - Sylwia Majchrowska, Jaroslaw Pawlowski, Grzegorz Gula, Tomasz Bonus, Agata Hanas, Adam Loch, Agnieszka Pawlak, Justyna Roszkowiak, Tomasz Golan, Zuzanna Drulis-Kawa:
AGAR a microbial colony dataset for deep learning detection. - Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala:
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency. - Austin R. Benson, Nate Veldt, David F. Gleich:
fauci-email: a json digest of Anthony Fauci's released emails. - Bradley He, Martin Radfar:
The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input. - Tianwei Zhang, Huayan Zhang, Xiaofei Li, Junfeng Chen, Tin Lun Lam, Sethu Vijayakumar:
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments. - Kota Yamaguchi:
CanvasVAE: Learning to Generate Vector Graphic Documents. - Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh:
Your fairness may vary: Group fairness of pretrained language models in toxic text classification. - Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning. - Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. - Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria:
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. - Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis W. Hong:
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. - Ziyuan Jiao, Zeyu Zhang, Xin Jiang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu:
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. - Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. - Bin Li, Encheng Chen, Hongru Liu, Yixuan Weng, Bin Sun, Shutao Li, Yongping Bai, Meiling Hu:
More but Correct: Generating Diversified and Entity-revised Medical Response. - Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi:
Process Mining Model to Predict Mortality in Paralytic Ileus Patients. - Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization. - Yijing Liang, Said Dabia, Zhixing Luo:
The Electric Vehicle Routing Problem with Nonlinear Charging Functions. - Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. - Sepideh Shafiei:
An analysis of Iranian Music Intervals based on Pitch Histogram. - Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. - Peiying Li, Shikui Tu, Lei Xu:
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition. - Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. - James P. Wilson, Zongyuan Shen, Shalabh Gupta:
A Non-uniform Sampling Approach for Fast and Efficient Path Planning. - Behzad Chitsaz, Ahmad Khonsari, Masoumeh Moradian, Aresh Dadlani:
Energy Management in Data Centers with Server Setup Delay: A Semi-MDP Approximation. - Christopher X. Miller, Temesgen Gebrekristos, Michael Young, Enid Montague, Brenna Argall:
An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation. - Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo:
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. - Bingfeng Zhang, Jimin Xiao, Yao Zhao:
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation. - Ambit Kumar Pany, Morrakot Khebchareon, Amiya Kumar Pani:
Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems. - Mengke Ge, Xiaobing Ni, Qi Xu, Song Chen, Jinglei Huang, Yi Kang, Feng Wu:
Synthesizing Brain-Network-Inspired Interconnections for Large-Scale Network-on-Chips. - Songting Shi:
Visualizing Data using GTSNE. - Bang L. H. Nguyen, Tuyen V. Vu, Joseph M. Guerrero, Michael Steurer, Karl Schoder, Tuan A. Ngo:
Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs. - Motasem S. Alsawadi, Miguel Rio:
Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks. - Manish Pathak, Aditya Jain:
Solving Fashion Recommendation - The Farfetch Challenge. - Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi:
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. - Junya Ikemoto, Toshimitsu Ushio:
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications. - Adarsh Patnaik, Ashish Ranjan Hota:
Optimization Based Collision Avoidance for Multi-Agent DynamicalSystems in Goal Reaching Task. - Amartya Dutta, Ferdous Ahmed Barbhuiya:
Predicting Popularity of Images Over 30 Days. - Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Dalia Papuc, Athanasios Xygkis, Igor Zablotchi:
Frugal Byzantine Computing. - Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein:
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. - Zhichao Liu, Konstantinos Karydis:
Position Control and Variable-Height Trajectory Tracking of a Soft Pneumatic Legged Robot. - Ruomu Hou, Haifeng Yu, Prateek Saxena:
Using Throughput-Centric Byzantine Broadcast to Tolerate Malicious Majority in Blockchains. - Jian Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao:
I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection. - Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. - Jakob Karalus, Felix Lindner:
Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations. - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma:
Understanding Human Reading Comprehension with Brain Signals. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. - Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. - Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin:
How to Evaluate Your Dialogue Models: A Review of Approaches. - Hsiao-Tzu Hung, Joann Ching, Seungheon Doh, Nabin Kim, Juhan Nam, Yi-Hsuan Yang:
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Alina Dana Miron, Crina Grosan:
Classifying action correctness in physical rehabilitation exercises. - Akshay Goindani, Manish Shrivastava:
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation. - Stefanie Holly, Astrid Nieße:
Dynamic communication topologies for distributed heuristics in energy system optimization algorithms. - Jan Wietrzykowski, Piotr Skrzypczynski:
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM. - Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. - Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang:
Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems. - Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. - Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen:
Electrical peak demand forecasting- A review. - Saswati Kumari Behera, Aouthithiye Barathwaj S. R. Y, Vasundhara L, Saisudha G, Haariharan N. C:
AI Based Waste classifier with Thermo-Rapid Composting. - Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. - Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek:
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. - Chandan Sharma, Roopak Sinha, Paulo Leitão:
IASelect: Finding Best-fit Agent Practices in Industrial CPS Using Graph Databases. - David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen:
Automated Identification of Climate Risk Disclosures in Annual Corporate Reports. - Stefka Bouyuklieva, Javier de la Cruz:
On the Structure of the Binary LCD Codes having an Automorphism of Odd Prime Order. - Daniel Wright, Mark Batty, Brijesh Dongol:
Owicki-Gries Reasoning for C11 Programs with Relaxed Dependencies (Extended Version). - Gerui Wang, Jerome Wang, Liam Lai, Fisher Yu:
Accountability and Forensics in Blockchains: XDC Consensus Engine DPoS 2.0. - Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, Mahmoud Al-Ayyoub, Mohammed N. Al-Kabi:
sarcasm detection and quantification in arabic tweets. - Arngeir Berge, Vegard Velle Sjøen, Alain D. Starke, Christoph Trattner:
Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. - Václav Blazej, Pratibha Choudhary, Dusan Knop, Jan Matyás Kristan, Ondrej Suchý, Tomás Valla:
Constant Factor Approximation for Tracking Paths and Fault Tolerant Feedback Vertex Set. - Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. - Mayank Jain, Mukta Jain, Tarek AlSkaif, Soumyabrata Dev:
Impact of Load Demand Dataset Characteristics on Clustering Validation Indices. - Souvik Das, Sougata Saha, Rohini K. Srihari:
Medical Literature Mining and Retrieval in a Conversational Setting. - Ahmed Al-Hindawi, Marcela Paula Vizcaychipi, Yiannis Demiris:
Continuous Non-Invasive Eye Tracking In Intensive Care. - Ding Xiang, Becky West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang:
Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce. - Quanye Jia, Rui Liu, Jianying Lin:
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization. - Stefanos Antaris, Dimitrios Rafailidis:
Sequence Adaptation via Reinforcement Learning in Recommender Systems. - Ashis Pati, Alexander Lerch:
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. - Xiaoxue Zang, Lijuan Liu, Maria Wang, Yang Song, Hao Zhang, Jindong Chen:
PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior for Joint Image-Text Modeling. - Albert Weichselbraun:
Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web. - Mohamed Lechiakh, Alexandre Maurer:
FEBR: Expert-Based Recommendation Framework for beneficial and personalized content. - Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. - Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Niyato, Choong Seon Hong:
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging. - Robert Schöne, Markus Schmidl, Mario Bielert, Daniel Hackenberg:
FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests. - Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data. - Tung-I Chen, Jen-Wei Wang, Winston H. Hsu:
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception. - Junjie Yang, Hao Sun, Hao An, Changhong Wang:
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control. - Yu Sun, Joe Falco, Máximo A. Roa, Berk Çalli:
Research Challenges and Progress in Robotic Grasping and Manipulation Competitions. - Rina Onda, Zhengyan Gao, Masaaki Kotera, Kenta Oono:
Fast Estimation Method for the Stability of Ensemble Feature Selectors. - Anant Khandelwal:
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue. - Kewei Fu, Han-Fu Chen, Wen-Xiao Zhao:
Distributed System Identification for Linear Stochastic Systems with Binary Sensors. - Timm Linder, Narunas Vaskevicius, Robert Schirmer, Kai O. Arras:
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study. - Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi:
A Neural Database for Differentially Private Spatial Range Queries. - Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. - Luca Ciccone, Luca Padovani:
Inference Systems with Corules for Combined Safety and Liveness Properties of Binary Session Types. - Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, Soumyabrata Dev:
Ontology Modeling for Decentralized Household Energy Systems. - Harald Garcke, Dennis Trautwein:
Numerical analysis for a Cahn-Hilliard system modelling tumour growth with chemotaxis and active transport. - Jake Love, Jeroen Mulkers, George Bourianoff, Jonathan Leliaert, Karin Everschor-Sitte:
Task Agnostic Metrics for Reservoir Computing. - Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh:
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. - Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone:
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. - Xingyu Zhou, Zhen Gao:
Joint Active User Detection and Channel Estimation for Grant-Free NOMA-OTFS in LEO Constellation Internet-of-Things. - Graham Cormode, Igor L. Markov:
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics. - Yao Wang, Yangtao Zheng, Boyang Gao, Di Huang:
Double-Dot Network for Antipodal Grasp Detection. - Md Momen Bhuiyan, Michael A. Horning, Sang Won Lee, Tanushree Mitra:
NudgeCred: Supporting News Credibility Assessment on Social Media Through Nudges. - Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager:
Geometry of Linear Convolutional Networks. - Matthias Springstein, Stefanie Schneider, Javad Rahnama, Eyke Hüllermeier, Hubertus Kohle, Ralph Ewerth:
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
Controlled Deep Reinforcement Learning for Optimized Slice Placement. - Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. - Joshua Bowren, Luis G. Sánchez Giraldo, Odelia Schwartz:
Inference via Sparse Coding in a Hierarchical Vision Model. - Marcin Budka, Matthew R. Bennet, Sally Reynolds, Shelby Barefoot, Sarah Reel, Selina Reidy, Jeremy Walker:
Sexing Caucasian 2D footprints using convolutional neural networks. - Gustavo Pérez, Subhransu Maji:
Domain Adaptor Networks for Hyperspectral Image Recognition. - S. Karami, M. Ahmadnasab, Mahmoud Hadizadeh, Amirhossein Amiraslani:
Intra-Basis Multiplication of Polynomials Given in Various Polynomial Bases. - Rémi Garcia, Anastasia Volkova, Martin Kumm, Alexandre Goldsztejn, Jonas Kühle:
Hardware-aware Design of Multiplierless Second-Order IIR Filters with Minimum Adders. - Moktari Mostofa, Salman Mohamadi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition. - Gustavo A. Cardona, Diego F. Salazar-D'Antonio, Cristian-Ioan Vasile, David Saldaña:
Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot. - Barbora Hudcová, Tomás Mikolov:
Classification of Discrete Dynamical Systems Based on Transients. - Tun-Min Hung, Bo-Yu Chen, Yen-Tung Yeh, Yi-Hsuan Yang:
A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset. - Bingwen Hu, Ping Liu, Zhedong Zheng, Mingwu Ren:
SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on. - Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos I. Siettos:
Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks. - Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
An Empirical Study on the Usage of Transformer Models for Code Completion. - Amit Gajbhiye, Noura Al Moubayed, Steven Bradley:
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. - Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui:
The application of artificial intelligence in software engineering: a review challenging conventional wisdom. - Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg:
The history and future prospects of open data and open source software. - Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning. - Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda:
Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming. - Haoye Chai, Supeng Leng, Fan Wu, Jianhua He:
Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles. - Yu Li, Muhammad Monjurul Karim, Ruwen Qin:
Who is Better at Anticipating Traffic Crashes, Human or Artificial Intelligence? A Gaze Data-based Exploratory Study. - Miguel Costa:
Full-Text and URL Search Over Web Archives. - Miguel Costa, Julien Masanès:
Big Data Science Over the Past Web. - Emmanouil S. Rigas, Panayiotis Kolios, Georgios Ellinas:
Scheduling Aerial Vehicles in an Urban Air Mobility Scheme. - Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, Jörn T. Zimmerling:
Reduced order model approach for imaging with waves. - Marco Mantovani, Alberto Momigliano:
Towards Substructural Property-Based Testing. - Saeideh Nabipour:
Fast BCH Coding for Optimal Robust Image Watermarking in DCT Domain. - Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. - Maher Said, Emma R. Zajdela, Amanda Stathopoulos:
Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles. - Nilton Cuellar, Anderson Pereira, Ivan F. M. Menezes, Americo Cunha Jr.:
Non-intrusive polynomial chaos expansion for topology optimization using polygonal meshes. - Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante:
Domain Generalization via Gradient Surgery. - Rohan Anil, Badih Ghazi, Vineet Gupta, Ravi Kumar, Pasin Manurangsi:
Large-Scale Differentially Private BERT. - Zongyuan Shen, Palash Agrawal, James P. Wilson, Ryan Harvey, Shalabh Gupta:
CPPNet: A Coverage Path Planning Network. - Marco Salucci, Nicola Anselmi:
Multi-Frequency GPR Microwave Imaging of Sparse Targets Through a Multi-Task Bayesian Compressive Sensing Approach. - Luyao Niu, Dinuka Sahabandu, Andrew Clark, Radha Poovendran:
A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries. - Giovanni Gabbolini, Derek Bridge:
An Interpretable Music Similarity Measure Based on Path Interestingness. - Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. - Roxana Smarandache, David G. M. Mitchell:
A Unifying Framework to Construct QC-LDPC Tanner Graphs of Desired Girth. - Ambrish Rawat, Killian Levacher, Mathieu Sinn:
The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks. - David Yu Cheng Chan, Vassos Hadzilacos, Xing Hu, Sam Toueg:
An Impossibility Result on Strong Linearizability in Message-Passing Systems. - Dinar Sharafutdinov, Mark Griguletskii, Pavel Kopanev, Mikhail Kurenkov, Gonzalo Ferrer, Aleksey Burkov, Aleksei Gonnochenko, Dzmitry Tsetserukou:
Comparison of modern open-source visual SLAM approaches. - Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard:
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets. - Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt:
Grounding Representation Similarity with Statistical Testing. - Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. - Zaid Khan, Yun Fu:
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation. - Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin:
Vision Transformer with Progressive Sampling. - Nikolay K. Vereshchagin:
Information disclosure in the framework of Kolmogorov complexity. - Benjamin Ampel, Sagar Samtani, Steven Ullman, Hsinchun Chen:
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach. - Atharva Anand Joshi, Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Terahertz Wireless Transmissions with Maximal Ratio Combining over Fluctuating Two-Ray Fading. - Sara Melotte, Mayank Kejriwal:
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. - Jun Liu, Shu-Lin Wu:
Parallel-in-time preconditioners for the Sinc-Nyström method. - Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. - Jihun Han, Yoonsang Lee:
Inhomogenous Regularization with Limited and Indirect Data. - Osama A. Marzouk:
The Sod gasdynamics problem as a tool for benchmarking face flux construction in the finite volume method. - Pavan Seshadri, Alexander Lerch:
Improving Music Performance Assessment with Contrastive Learning. - Jun Liu, Xiang-Sheng Wang, Shu-Lin Wu, Tao Zhou:
A well-conditioned direct PinT algorithm for first- and second-order evolutionary equations. - Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani:
Improving Counterfactual Generation for Fair Hate Speech Detection. - Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, Alex R. Wade:
Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks. - Timothy Jones, Yiran Jiang, John Paisley, Tian Zheng:
Scalable Community Detection in Massive Networks Using Aggregated Relational Data. - Suchandra Dutta, Dhrubasish Sarkar, Sohom Roy, Dipak K. Kole, Premananda Jana:
A Study on Herd Behavior Using Sentiment Analysis in Online Social Network. - Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni:
Scalable Community Detection via Parallel Correlation Clustering. - Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang:
Tutorials on Testing Neural Networks. - Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao:
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI). - Ioannis Anagnostides, Themis Gouleakis:
Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model. - Monnie Parida, Manjira Sinha:
Pandemic and disability: Challenges faced and role of technology. - Shreyas Kousik, Adam Dai, Grace Xingxin Gao:
Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection. - Jeremy L. Thompson, Jed Brown, Yunhui He:
Local Fourier Analysis of P-Multigrid for High-Order Finite Element Operators. - Andrew C. Reed, Michael K. Reiter:
Optimally Hiding Object Sizes with Constrained Padding. - Haleh Hayati, Carlos Murguia, Nathan van de Wouw:
Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms. - Carmen M. Constantin, Nuiok Dicaire, Chris Heunen:
Localisable Monads. - Mateusz Gniewkowski, Henryk Maciejewski, Tomasz R. Surmacz, Wiktor Walentynowicz:
HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic. - Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar:
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. - Xihui Xie:
On Adaptive Grad-Div Parameter Selection. - Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. - Kevin M. Smith, Margaret P. Chapman:
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. - Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. - Hongyu He:
How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market. - Lingchuan Meng:
Armour: Generalizable Compact Self-Attention for Vision Transformers. - Maurice H. ter Beek, Guillermina Cledou, Rolf Hennicker, José Proença:
Featured Team Automata. - Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. - Dorina Weichert, Felix Horchler, Alexander Kister, Marcus Trost, Johannes Hartung, Stefan Risse:
Monte Carlo Tree Search for high precision manufacturing. - Wenrui Zhang, Peng Li:
Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization. - Paarth Shah, Avadesh Meduri, Wolfgang Merkt, Majid Khadiv, Ioannis Havoutis, Ludovic Righetti:
Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent. - Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. - Zhouyu Lu, Zhichao Liu, Konstantinos Karydis:
Deformation Recovery Control and Post-Impact Trajectory Replanning for Collision-Resilient Mobile Robots. - Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri:
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. - Hong-Wing Pang, Yingshu Chen, Binh-Son Hua, Sai-Kit Yeung:
Neural Scene Decoration from a Single Photograph. - Liyuan Zhang, Yuhang Zhou, Lei Zhang:
On the Robustness of Domain Adaption to Adversarial Attacks. - Boi M. Quach, Dinh V. Cuong, Nhung Pham, Dang Huynh, Binh T. Nguyen:
An Effective Leaf Recognition Using Convolutional Neural Networks Based Features. - Chengpei Xu, Wenjing Jia, Tingcheng Cui, Ruomei Wang, Yuanfang Zhang, Xiangjian He:
What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text Detection. - Jason Van Hulse, Joshua S. Friedman:
Deep Learning Chromatic and Clique Numbers of Graphs. - Seongmin Park, Dongchan Shin, Sangyoun Paik, Subong Choi, Alena Kazakova, Jihwa Lee:
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation. - Takao Miki, Shinji Nishiwaki:
Topology optimization of the support structure for heat dissipation in additive manufacturing. - Zhen Han, Xiangteng He, Mingqian Tang, Yiliang Lv:
Video Similarity and Alignment Learning on Partial Video Copy Detection. - Shuhong Chen, Matthias Zwicker:
Transfer Learning for Pose Estimation of Illustrated Characters. - Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. - Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah:
Emergent Discrete Communication in Semantic Spaces. - Xudong Dai, Cheng Gong, Longbiao Wang, Kaili Zhang:
Information Sieve: Content Leakage Reduction in End-to-End Prosody For Expressive Speech Synthesis. - Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. - Jed Brown, Yunhui He, Scott P. MacLachlan:
Local Fourier analysis of Balancing Domain Decomposition by Constraints algorithms. - Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. - Yuping Luo, Tengyu Ma:
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations. - Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov:
Controlled Text Generation as Continuous Optimization with Multiple Constraints. - Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams:
Risk Conditioned Neural Motion Planning. - Sharif Amit Kamran, Shamik Sengupta, Alireza Tavakkoli:
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective. - Ibrahim Alshubaily:
Efficient Neural Architecture Search with Performance Prediction. - Vivek Srivastava, Mayank Singh:
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. - Zhe Wang, Claude Guet:
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning. - Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen, Min Sun:
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation. - Kai Arulkumaran, Dan Ogawa Lillrank:
A Pragmatic Look at Deep Imitation Learning. - Even Klemsdal, Sverre Herland, Abdulmajid Murad:
Learning Task Agnostic Skills with Data-driven Guidance. - Jie Zhu, Ivana Tasic, Xiaobo Qu:
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles. - Shahbaz Syed, Tariq Yousef, Khalid Al Khatib, Stefan Jänicke, Martin Potthast:
Summary Explorer: Visualizing the State of the Art in Text Summarization. - Ximeng Li, Qianying Zhang, Guohui Wang, Zhiping Shi, Yong Guan:
Reasoning about Iteration and Recursion Uniformly based on Big-step Semantics. - Felix Stache, Jonas Westheider, Federico Magistri, Marija Popovic, Cyrill Stachniss:
Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. - Longyu Zhou, Supeng Leng, Qiang Liu, Haoye Chai, Jihua Zhou:
Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks. - Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. - Miki Tanaka, Sayaka Shiota, Hitoshi Kiya:
A universal detector of CNN-generated images using properties of checkerboard artifacts in the frequency domain. - Tauseef Gulrez, Warren Mansell:
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training. - Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. - Quan Hoang Nguyen, Andre Cronje, Michael Kong, Egor Lysenko, Alex Guzev:
Lachesis: Scalable Asynchronous BFT on DAG Streams. - Suofei Zhang, Zirui Yin, Xiaofu Wu, Kun Wang, Quan Zhou, Bin Kang:
FPB: Feature Pyramid Branch for Person Re-Identification. - Joo Hun Yoo, Ha Min Son, Hyejun Jeong, Eun-Hye Jang, Ah-Young Kim, Han-Young Yu, Hong Jin Jeon, Tai-Myoung Chung:
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application. - Roberto Piersanti, Francesco Regazzoni, Matteo Salvador, Antonio F. Corno, Luca Dedè, Christian Vergara, Alfio Quarteroni:
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics. - Chuchu Chen, Tonghe Dang, Jialin Hong:
An adaptive time-stepping full discretization for stochastic Allen-Cahn equation. - Hao Ouyang, Tengfei Wang, Qifeng Chen:
Internal Video Inpainting by Implicit Long-range Propagation. - Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús A. Manjón, David Sánchez:
Secure and Privacy-Preserving Federated Learning via Co-Utility. - Hao Liu, Xue-Cheng Tai, Roland Glowinski:
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging. - Bidyarthi Dutta:
An analytical study of content and contexts of keywords on physics. - Xijun Wang, Minghao Fang, Chao Xu, Howard H. Yang, Xinghua Sun, Xiang Chen, Tony Q. S. Quek:
When to Preprocess? Keeping Information Fresh for Computing Enable Internet of Things. - Ibrahim Alshubaily:
TextCNN with Attention for Text Classification. - Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang:
UniGPS: A Unified Programming Framework for Distributed Graph Processing. - William Seymour, Max Van Kleek:
Exploring Interactions Between Trust, Anthropomorphism, and Relationship Development in Voice Assistants. - Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann:
How to Query Language Models? - Moshe Eliasof, Eldad Haber, Eran Treister:
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations. - Jonathan Carlton, Andy Brown, Caroline Jay, John Keane:
Using Interaction Data to Predict Engagement with Interactive Media. - Georg Nawratil:
On origami-like quasi-mechanisms with an antiprismatic skeleton. - Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection Without Log Parsing. - Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou:
Learning Compatible Embeddings. - Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot:
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning. - Leonid Barenboim, Tzalik Maimon:
Deterministic Logarithmic Completeness in the Distributed Sleeping Model. - Xian Zhan, Tianming Liu, Yepang Liu, Yang Liu, Li Li, Haoyu Wang, Xiapu Luo:
A Systematic Assessment on Android Third-party Library Detection Tools. - Ahmed Al-Saffar, Lei Guo, Amin M. Abbosh:
Graph Attention Network For Microwave Imaging of Brain Anomaly. - Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong:
Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection. - Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu:
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. - Nils Kürbis:
A Binary Quantifier for Definite Descriptions in Intuitionist Negative Free Logic: Natural Deduction and Normalisation. - Nils Kürbis:
Two Treatments of Definite Descriptions in Intuitionist Negative Free Logic. - Nils Kürbis:
Definite Descriptions in Intuitionist Positive Free Logic. - Mohammad Rahmani Fadiheh, Alex Wezel, Johannes Müller, Jörg Bormann, Sayak Ray, Jason M. Fung, Subhasish Mitra, Dominik Stoffel, Wolfgang Kunz:
An Exhaustive Approach to Detecting Transient Execution Side Channels in RTL Designs of Processors. - Jiaojiao Fang, Guizhong Liu:
Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D. - Marc Herrmann, Jil Klünder:
From Textual to Verbal Communication: Towards Applying Sentiment Analysis to a Software Project Meeting. - Grzegorz Pierczynski, Piotr Skowron:
Core-Stable Committees under Restricted Domains. - André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. - Paul Bastide, Pierre Fraigniaud:
On Extending Brandt's Speedup Theorem from LOCAL to Round-Based Full-Information Models. - Júlia Cária de Freitas, Puca Huachi Vaz Penna, Túlio A. M. Toffolo:
Exact and Heuristic Approaches to Drone Delivery Problems. - K. Ritsuka, Karen Rudie:
Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems. - Vikash Kumar:
Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. - Maxime Volery, Xinxin Guo, Hervé Lissek:
Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller. - Ali Tavasoli, Teague Henry, Heman Shakeri:
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model. - José Paredes, Juan Carlos Teze, Gerardo I. Simari, Maria Vanina Martinez:
On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report). - Cyril Nguyen Van Phu, Nadir Farhi:
Estimation of road traffic state at a multi-lanes controlled junction. - Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19. - Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot:
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples. - Jean-Marc Kelif, Dinh-Thuy Phan-Huy:
Backscatter Communication System With Dumb Diffusing Surface. - Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Amit Singh, Cem Bassoy:
High-Performance Level-1 and Level-2 BLAS. - Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu:
Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM. - Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh:
Signature Verification using Geometrical Features and Artificial Neural Network Classifier. - Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
Reversible Gk-Codes with Applications to DNA Codes. - Sangeeta Ghangam, Daniel Whitenack, Joshua Nemecek:
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification. - Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. - Martin Ferus, Vitalii G. Kurbatov, Irina V. Kurbatova:
An estimate of approximation of an analytic function of a matrix by a rational function. - Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. - Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege:
Convergence of gradient descent for learning linear neural networks. - Haris Angelidakis, Dylan Hyatt-Denesik, Laura Sanità:
Node Connectivity Augmentation via Iterative Randomized Rounding. - Tamás Dózsa, Ferenc Schipp:
A generalization of the root function. - Amirreza Bagheri, Péter Hegedüs:
A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python. - Anwen Hu, Shizhe Chen, Qin Jin:
ICECAP: Information Concentrated Entity-aware Image Captioning. - Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst:
SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees. - D. E. Demidov:
Partial Reuse AMG Setup Cost Amortization Strategy for the Solution of Non-Steady State Problems. - David Krieg, Erich Novak, Mathias Sonnleitner:
Recovery of Sobolev functions restricted to iid sampling. - Anwen Hu, Shizhe Chen, Qin Jin:
Question-controlled Text-aware Image Captioning. - Mohammadreza Esmali Nojehdeh, Sajjad Parvin, Mustafa Altun:
Efficient Hardware Realizations of Feedforward Artificial Neural Networks. - Joseph Kuebler, Lingbo Tong, Meng Jiang:
Multi-Round Parsing-based Multiword Rules for Scientific OpenIE. - Oliver Karras, Eklekta Kristo, Jil Klünder:
The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback. - Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. - Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu:
Privacy-Preserving Synthetic Location Data in the Real World. - Arnab Sarker, Jean-Baptiste Seby, Austin R. Benson, Ali Jadbabaie:
Higher Order Information Identifies Tie Strength. - Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan:
Online Knowledge Distillation for Efficient Pose Estimation. - Lingdong Kong, Prakhar Ganesh, Tan Wang, Junhao Liu, Yao Chen, Le Zhang:
Free Lunch for Co-Saliency Detection: Context Adjustment. - Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He:
Human-In-The-Loop Document Layout Analysis. - David Venuto, Elaine Lau, Doina Precup, Ofir Nachum:
Policy Gradients Incorporating the Future. - Hong-Ning Dai, Yulei Wu, Hao Wang, Muhammad Imran, Noman Haider:
Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19. - Hanlin Tang, Yao Li, Ji Liu, Ming Yan:
ErrorCompensatedX: error compensation for variance reduced algorithms. - Fayao Liu, Guosheng Lin, Chuan-Sheng Foo:
Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds. - Marten Maack, Friedhelm Meyer auf der Heide, Simon Pukrop:
Full Version - Server Cloud Scheduling. - Hao Wang, Yue Deng, Linyuan Lü, Guanrong Chen:
Hyperparameter-free and Explainable Whole Graph Embedding. - Shih-Hsuan Hung, Yue Zhang, Harry Yeh, Eugene Zhang:
Feature Curves and Surfaces of 3D Asymmetric Tensor Fields. - Jae Hun Ro, Ananda Theertha Suresh, Ke Wu:
FedJAX: Federated learning simulation with JAX. - Fangzhou Han, Can Wang, Hao Du, Jing Liao:
Deep Portrait Lighting Enhancement with 3D Guidance. - Boon Peng Yap, Beng-Koon Ng:
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images. - Justin Payan, Yair Zick:
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment. - Zih-Yun Chiu, Yi-Lin Tuan, Hung-yi Lee, Li-Chen Fu:
Parallelized Reverse Curriculum Generation. - Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar:
The Impact of Traceability on Software Maintenance and Evolution: A Mapping Study. - Gregor Bankhamer, Robert Elsässer, Stefan Schmid:
Randomized Local Fast Rerouting for Datacenter Networks with Almost Optimal Congestion. - Lukas Kondmann, Xiao Xiang Zhu:
Under the Radar - Auditing Fairness in ML for Humanitarian Mapping. - Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. - Chiori Hori, Takaaki Hori, Jonathan Le Roux:
Optimizing Latency for Online Video CaptioningUsing Audio-Visual Transformers. - Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed N. Moustafa:
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning. - M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. - Tao Zhang, Timothy Lesch, Kenneth Koltermann, Dmitry Evtyushkin:
STBPU: A Reasonably Safe Branch Predictor Unit. - Marco Pegoraro, Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
Learning to generate shape from global-local spectra. - Abdurrahim Yilmaz, Ali Anil Demircali, Serra Ozkasap, Leyla Yorgancioglu, Huseyin Uvet:
Mechatronic Investigation of Wound Healing Process by Using Micro Robot. - Kamila Barylska, Anna Gogolinska:
Acyclic and Cyclic Reversing Computations in Petri Nets. - Daniel Campos:
Curriculum learning for language modeling. - Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Knowledge-Grounded Dialogue Flow Management for Social Robots and Conversational Agents. - Andrew M. McNutt:
On the Potential of Zines as a Medium for Visualization. - Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir:
Towards Coherent Visual Storytelling with Ordered Image Attention. - Rui Qian, Yuxi Li, Huabin Liu, John See, Shuangrui Ding, Xian Liu, Dian Li, Weiyao Lin:
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization. - Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Jiri Zárevúcky, Dorde Zikelic:
On Lexicographic Proof Rules for Probabilistic Termination. - Daniel Mitropolsky, Michael J. Collins, Christos H. Papadimitriou:
A Biologically Plausible Parser. - Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. - Shay Kutten, William K. Moses Jr., Gopal Pandurangan, David Peleg:
Singularly Near Optimal Leader Election in Asynchronous Networks. - Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan:
Adversarial learning of cancer tissue representations. - William Wagner, Siyu Xiang, Chien-Ting Chang:
Private Power and Public Interests: An Ethnographic Examination of the Power Outages in Texas in February 2021. - Willy Kuo, Diego Rossinelli, Georg Schulz, Roland H. Wenger, Simone E. Hieber, Bert Müller, Vartan Kurtcuoglu:
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney. - Wubing B. Qin, Yiming Zhang, Dénes Takács, Gábor Stépán, Gábor Orosz:
Dynamics and control of automobiles using nonholonomic vehicle models. - Sergey Khashin, Ekaterina Shemyakova:
Growing an architecture for a neural network. - Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, Hamid R. Tizhoosh:
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks. - Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Multi-Branch with Attention Network for Hand-Based Person Recognition. - Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Song Chen, Xulun Ye, Jiafei Wu:
Dynamic Relevance Learning for Few-Shot Object Detection. - Mathias Unberath, Cong Gao, Yicheng Hu, Max Judish, Russell H. Taylor, Mehran Armand, Robert B. Grupp:
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective. - Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition. - Jens Braband, Hendrik Schäbe:
A Semi-quantitative Covid-19 Individual Risk Model. - Sumit Asthana, Sabrina Tobar Thommel, Aaron Lee Halfaker, Nikola Banovic:
Automatically Labeling Low Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors. - Megan Grodowitz, Luis E. Peña, Curtis Dunham, Dong Zhong, Pavel Shamis, Steve Poole:
Two-Chains: High Performance Framework for Function Injection and Execution. - Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. - Michael Tupek, Jacob Koester, Matthew Mosby:
A momentum preserving frictional contact algorithm based on affine particle-in-cell grid transfers. - Angelina Lesnikova:
From "Analogue" Science to AI-powered Digital Science. - Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool:
Boosting Few-shot Semantic Segmentation with Transformers. - Zhenhua Yu, S. M. Hadi Sadati, Hasitha Wegiriya, Peter R. N. Childs, Thrishantha Nanayakkara:
A Method to use Nonlinear Dynamics in a Whisker Sensor for Terrain Identification by Mobile Robots. - Shivam Garg, Nandini Venkatraman, Soroush Tamizi, Hira Shah, Elizabeth S. Bentley, Sunil Kumar:
Implementation of a Multi-Beam MAC Protocol for Multi-Hop Wireless Networks in Riverbed Modeler. - Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau:
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis. - Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess:
LEO: Learning Energy-based Models in Graph Optimization. - Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipková, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood:
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. - Guilherme Rotth Zibetti, Juliano Araujo Wickboldt, Edison Pignaton de Freitas:
Context-Aware Environment Monitoring to Support LPWAN-based Battlefield Applications. - Javier Franco, Ahmet Aris, Berk Canberk, A. Selcuk Uluagac:
A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems. - Yuyang Chen, Kaiming Bi, Chih-Hang Wu, David Ben-Arieh, Ashesh Sinha:
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series. - Yihong Zhang, Yisu Remy Wang, Max Willsey, Zachary Tatlock:
Relational E-Matching. - Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, Ardalan Amiri Sani:
IoT Notary: Attestable Sensor Data Capture in IoT Environments. - Chang Gao, Tobi Delbrück, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity. - Leilani Battle, Danni Feng, Kelli Webber:
Exploring Visualization Implementation Challenges Faced by D3 Users Online. - Boshen Niu, Chenxi Wang, Changliu Liu:
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. - Benjamin Jarman, Deanna Needell:
QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. - Caleb Terrill, Fred Chu:
BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration. - Maxwell A. Weinzierl, Sanda M. Harabagiu:
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction. - Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Deep Stable neural networks: large-width asymptotics and convergence rates. - Xing Chen, Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Dafine Ravelosona, Wang Kang, Weisheng Zhao, Julie Grollier, Damien Querlioz:
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations. - Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. - (Withdrawn) Active Reinforcement Learning over MDPs.
- Maher Said, Jason Soria, Amanda Stathopoulos:
Shifting Mobility Behaviors in Unprecedented Times: Intentions to Use On-demand Ride Services During the COVID-19 Pandemic. - Md Momen Bhuiyan, Hayden Whitley, Michael A. Horning, Sang Won Lee, Tanushree Mitra:
Designing Transparency Cues in Online News Platforms to Promote Trust: Journalists' & Consumers' Perspectives. - Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang:
PI3NN: Prediction intervals from three independently trained neural networks. - Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya:
A Distributed Application Placement and Migration Management Techniques for Edge and Fog Computing Environments. - Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos, Danielle Albers Szafir, Christopher Collins:
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines. - Matthias Birner, Patrick Diehl, Robert Lipton, Marc Alexander Schweitzer:
A Fracture Multiscale Model for Peridynamic enrichment within the Partition of Unity Method: Part I. - Wenjuan Han, Bo Pang, Ying Nian Wu:
Robust Transfer Learning with Pretrained Language Models through Adapters. - Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu, Chuanfei Xu:
Itinerary-aware Personalized Deep Matching at Fliggy. - Ziyi Wang, Wendong Xiao, Yu Li, Zulong Chen, Zhi Jiang:
LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform. - Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang:
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. - Yanhui Guo, Xiao Shu, Xiaolin Wu:
An Efficient Dual-reference Training Data Acquisition Method for CNN Image Super-Resolution. - Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang:
Hierarchical Aggregation for 3D Instance Segmentation. - Bowen Xing, Ivor W. Tsang:
Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network. - Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Alleviating Mode Collapse in GAN via Diversity Penalty Module. - Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao:
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. - Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun:
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. - Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu:
Exploring Structure Consistency for Deep Model Watermarking. - Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. - Xinzhi Dong, Chengjiang Long, Wenju Xu, Chunxia Xiao:
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning. - Konstantinos Georgiou, Sean Leizerovich, Jesse Lucier, Somnath Kundu:
Evacuating from ell_p Unit Disks in the Wireless Model. - José Proença, Andrei Paskevich:
Proceedings of the 6th Workshop on Formal Integrated Development Environment, F-IDE@NFM 2021, Held online, 24-25th May 2021. EPTCS 338, 2021 [contents] - Virginia Ochi, Ricardo Estrada, Teezal Gaji, Wendy Gadea, Emily Duong:
Spotify Danceability and Popularity Analysis using SAP. - Xin Sun, Henghui Ding, Chi Zhang, Guosheng Lin, Keck Voon Ling:
M2IOSR: Maximal Mutual Information Open Set Recognition. - Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu:
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. - Muhammad Shoaib, Ehsan Asadi, Joono Cheong, Alireza Bab-Hadiashar:
Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies. - Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang:
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot. - Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu:
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. - Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic based Logical Query Answering on Knowledge Graph. - Hilal Asi, Daniel Levy, John C. Duchi:
Adapting to Function Difficulty and Growth Conditions in Private Optimization. - Mohammed I. Abouheaf, Wail Gueaieb, Frank L. Lewis:
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft. - Hao Ye, Le Liang, Geoffrey Li:
Decentralized Federated Learning with Unreliable Communications. - Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. - Lam Tran, Thuc Dinh Nguyen, Hyunil Kim, Deokjai Choi:
Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers. - Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. - Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara Schütt, Fabian Utesch, Birte Kramer, Christian Gutenkunst, Eckard Böde:
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art. - Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. - Hyesang Cho, Junil Choi:
IRS-Aided Energy Efficient UAV Communication. - Ruth Kravis, Ian R. Petersen, Elizabeth L. Ratnam:
Voltage Stability Studies for Distribution Networks: Assessing Load Dynamics. - Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan:
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
Aspis: A Robust Detection System for Distributed Learning. - Xuri Ge, Fuhai Chen, Joemon M. Jose, Zhilong Ji, Zhongqin Wu, Xiao Liu:
Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval. - Dave Cliff, James Hawkins, James Keen, Roberto Lau-Soto:
Implementing the BBE Agent-Based Model of a Sports-Betting Exchange. - Jennifer C. Shih, Laurent El Ghaoui:
Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets. - Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui:
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method. - Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui:
Automatic Detection of Rail Components via A Deep Convolutional Transformer Network. - Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei Li:
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation. - Joakim Björk, Daniel Vázquez Pombo, Karl Henrik Johansson:
Variable-Speed Wind Turbine Control Designed for Coordinated Fast Frequency Reserves. - Andrei Velichko:
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. - Bastian Bohn, Michael Griebel, Dinesh Kannan:
Deep Neural Networks and PIDE discretizations. - Hao Zhang, Yanbin Hao, Chong-Wah Ngo:
Token Shift Transformer for Video Classification. - Song Lu, Xianmin Xu:
A trace finite element method by integrating on the surface with exact geometry description. - Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu:
Learning to Design and Construct Bridge without Blueprint. - Wei Huang, Neal N. Xiong, Shahid Mumtaz:
JOET: Sustainable Vehicle-assisted Edge Computing for Internet of Vehicles. - Seongmin Park, Jihwa Lee:
Finetuning Pretrained Transformers into Variational Autoencoders. - Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen:
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion. - Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. - Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng:
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild. - Cui Xie, Hao Guo, Junyu Dong:
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection. - Ke Zhu, Jianxin Wu:
Residual Attention: A Simple but Effective Method for Multi-Label Recognition. - Davide Magrin, Martina Capuzzo, Andrea Zanella, Michele Zorzi:
Proof of convergence of LoRaWAN model. - Simon Hubmer, Ronny Ramlau, Lukas Weissinger:
On Regularization via Frame Decompositions with Applications in Tomography. - Vaiva Vasiliauskaite, Tim S. Evans, Paul Expert:
Cycle Analysis of Directed Acyclic Graphs. - Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui:
Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment. - Pedro Mendes, Maria Casimiro, Paolo Romano:
HyperJump: Accelerating HyperBand via Risk Modelling. - Felipe Carrasco Heine, Antonia Demleitner, Jannik Matuschke:
Bifactor Approximation for Location Routing with Vehicle and Facility Capacities. - Marta Gironés-Sangüesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf:
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. - Denis Kutnar, Bas H. M. van der Velden, Marta Gironés-Sangüesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf:
MixLacune: Segmentation of lacunes of presumed vascular origin. - Jie Zhang, Dongdong Chen, Jing Liao, Qidong Huang, Gang Hua, Weiming Zhang, Nenghai Yu:
Poison Ink: Robust and Invisible Backdoor Attack. - Andreea Costea, Abhishek Tiwari, Sigmund Chianasta, Kishore R, Abhik Roychoudhury, Ilya Sergey:
HIPPODROME: Data Race Repair using Static Analysis Summaries. - Christian Offen, Sina Ober-Blöbaum:
Symplectic integration of learned Hamiltonian systems. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
DRL-based Slice Placement Under Non-Stationary Conditions. - Michael A. Lones:
How to avoid machine learning pitfalls: a guide for academic researchers. - Tungyu Wu, Youting Wang:
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection. - Ayberk Aydin, Deniz Sen, Berat Tuna Karli, Oguz Hanoglu, Alptekin Temizel:
Imperceptible Adversarial Examples by Spatial Chroma-Shift. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement. - Narinder Singh Punn, Sonali Agarwal:
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging. - Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram:
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation. - Farzana Quayyum, Jonas Bueie, Daniela S. Cruzes, Letizia Jaccheri, Juan Carlos Torrado Vidal:
Understanding parents' perceptions of children's cybersecurity awareness in Norway. - Cristina Gena, Federica Cena, Marco Botta, Claudio Mattutino:
User modeling for social and affective robots. - Sebastiano Verde, Cecilia Pasquini, Federica Lago, Alessandro Goller, Francesco G. B. De Natale, Alessandro Piva, Giulia Boato:
Multi-clue reconstruction of sharing chains for social media images. - Sawan Singh Mahara, Shruti M., B. N. Bharath:
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks. - Yuhang Ming, Xingrui Yang, Andrew Calway:
Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation. - Mountaga Diallo, Chayma Fourati, Hatem Haddad:
Bambara Language Dataset for Sentiment Analysis. - Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. - Jelena Stanulovic, Nathalie Mitton, Ivan Mezei:
Routing with Face Traversal and Auctions Algorithms for Task Allocation in WSRN. - Zhouteng Ye, Mark Sussman, Yi Zhan, Xizeng Zhao:
a Decision-Tree based Moment-of-Fluid (DTMOF) Method in 3D rectangular hexahedrons. - Javier Oliver, Daniel Yago, Juan Carlos Cante, Oriol Lloberas-Valls:
Variational approach to relaxed topological optimization: closed form solutions for structural problems in a sequential pseudo-time framework. - Xinyuan Qian, Bidisha Sharma, Amine El Abridi, Haizhou Li:
SLoClas: A Database for Joint Sound Localization and Classification. - Özlem Tugfe Demir, Emil Björnson, Luca Sanguinetti:
Foundations of User-Centric Cell-Free Massive MIMO. - Zhongjin Luo, Jie Zhou, Heming Zhu, Dong Du, Xiaoguang Han, Hongbo Fu:
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design. - Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni:
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. - Shagufta Henna:
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems. - Valery Ilin, Ivan Kalinov, Pavel A. Karpyshev, Dzmitry Tsetserukou:
DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations. - Genoveva Vargas-Solar, Ali Akoglu, Md Sahil Hassan:
JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre. - Shixiang Feng, Yuhang Zhou, Xiaoman Zhang, Ya Zhang, Yanfeng Wang:
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets. - Zhenyu Weng, Yuesheng Zhu:
Online Hashing with Similarity Learning. - Yunxin Li, Qian Yang, Qingcai Chen, Lin Ma, Baotian Hu, Xiaolong Wang, Yuxin Ding:
Sentence-level Online Handwritten Chinese Character Recognition. - Khazar Khorrami, Okko Räsänen:
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. - Vipul Mehra:
GuavaNet: A deep neural network architecture for automatic sensory evaluation to predict degree of acceptability for Guava by a consumer. - Hans Dermot Doran, Gianluca Ielpo, David Ganz, Michael Zapke:
Dependable Neural Networks Through Redundancy, A Comparison of Redundant Architectures. - Yufeng Wang, Dan Li, Cong Xu, Min Yang:
Missingness Augmentation: A General Approach for Improving Generative Imputation Models. - Binayak Tiwari, Mei Yang, Xiaohang Wang, Yingtao Jiang, Venkatesan Muthukumar:
Improving the Performance of a NoC-based CNN Accelerator with Gather Support. - Binayak Tiwari, Mei Yang, Xiaohang Wang, Yingtao Jiang:
Data Streaming and Traffic Gathering in Mesh-based NoC for Deep Neural Network Acceleration. - Alexander Zeilmann, Stefania Petra, Christoph Schnörr:
Learning Linearized Assignment Flows for Image Labeling. - Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi:
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. - Syed Rifat Mahmud Rafee, György Fazekas, Geraint A. Wiggins:
Performer Identification From Symbolic Representation of Music Using Statistical Models. - Steph Rudd, Hamish Cunningham:
Selective privacy in IoT smart-farms for battery-powered device longevity. - Dominique Laurent, Nicolas Spyratos:
Handling Inconsistencies in Tables with Nulls and Functional Dependencies. - João Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar, Martin A. Musicante:
An Abstract View of Big Data Processing Programs. - Seong-Hwan Hyun, Jiho Song, Keunwoo Kim, Jong-Ho Lee, Seong-Cheol Kim:
Adaptive Beam Design for V2I Communications using Vehicle Tracking with Extended Kalman Filter. - Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow:
Geometric Embeddability of Complexes is ∃R-complete. - Dominique Laurent, Nicolas Spyratos:
Four-Valued Semantics for Deductive Databases. - João Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar, Martin A. Musicante:
TRANSMUT-SPARK: Transformation Mutation for Apache Spark. - Eungchang Mason Lee, Junho Choi, Hyungtae Lim, Hyun Myung:
REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs. - Alberto Garinei, Emanuele Piccioni, Massimiliano Proietti, Andrea Marini, Stefano Speziali, Marcello Marconi, Raffaella Di Sante, Sara Casaccia, Paolo Castellini, Milena Martarelli, Nicola Paone, Gian Marco Revel, Lorenzo Scalise, Marco Arnesano, Paolo Chiariotti, Roberto Montanini, Antonino Quattrocchi, Sergio Silvestri, Giorgio Ficco, Emanuele Rizzuto, Andrea Scorza, Matteo Lancini, Gianluca Rossi, Roberto Marsili, Emanuele Zappa, Salvatore Andrea Sciuto:
R&D evaluation methodology based on group-AHP with uncertainty. - Yidi Jiang, Bidisha Sharma, Maulik C. Madhavi, Haizhou Li:
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification. - Jianliang Li, Xiaoli Liu, Bo Zhang, Haiwen Zhang:
The Nyström method for elastic wave scattering by unbounded rough surfaces. - Alexey Tikhonov, Alex Malkhasov, Andrey Manoshin, George Dima, Réka Cserháti, Md. Sadek Hossain Asif, Matt Sárdi:
EENLP: Cross-lingual Eastern European NLP Index. - Yuanhang Zhang, Susan Liang, Shuang Yang, Xiao Liu, Zhongqin Wu, Shiguang Shan, Xilin Chen:
UniCon: Unified Context Network for Robust Active Speaker Detection. - Haobo Jiang, Jin Xie, Jianjun Qian, Jian Yang:
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration. - Eweda Eweda, Neil J. Bershad, José Carlos M. Bermudez:
Stochastic Analysis of the Diffusion Least Mean Square and Normalized Least Mean Square Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs. - Erik Hemberg, Una-May O'Reilly:
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence. - Emir Demirel, Sven Ahlbäck, Simon Dixon:
MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription. - André Luiz Farias Novaes, Rui Alexandre de Matos Araújo, Jose Figueiredo, Lucas Aguiar Pavanelli:
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain. - Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. - Mattéo Couplet, Maxence Reberol, Jean-François Remacle:
Generation of High-Order Coarse Quad Meshes on CAD Models via Integer Linear Programming. - Carmine Dodaro, Giuseppe Galatà, Andrea Grioni, Marco Maratea, Marco Mochi, Ivan Porro:
An ASP-based Solution to the Chemotherapy Treatment Scheduling problem. - Yannic Maus, Jara Uitto:
Efficient CONGEST Algorithms for the Lovasz Local Lemma. - Zhaonan Dong, Emmanuil H. Georgoulis:
Robust interior penalty discontinuous Galerkin methods. - Juan P. Vigueras-Guillén, Arijit Patra, Ola Engkvist, Frank Seeliger:
Parallel Capsule Networks for Classification of White Blood Cells. - Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang:
A Hypothesis for the Aesthetic Appreciation in Neural Networks. - Shreshta Rajakumar Deshpande, Shobhit Gupta, Abhishek Gupta, Marcello Canova:
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming. - Janne H. Korhonen, Ami Paz, Joel Rybicki, Stefan Schmid, Jukka Suomela:
Sinkless orientation is hard also in the supported LOCAL model. - Wei-Wen Hsu, Yongfang Wu, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai:
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective. - António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. - Mary Rose Martinez, Shriram Krishnamurthi:
Computing and Authentication Practices in Global Oil and Gas Fields. - Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli:
Reducing Unintended Bias of ML Models on Tabular and Textual Data. - Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro:
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. - Shubao Liu, Ke-Yue Zhang, Taiping Yao, Mingwei Bi, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma:
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing. - Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis:
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware. - Afonso Falcão, Andreia Mordido, Vasco T. Vasconcelos:
Protocol-based Smart Contract Generation. - Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger:
Redesigning Fully Convolutional DenseUNets for Large Histopathology Images. - Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy:
Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP. - Gobinda Ghosh, Sudhan Majhi, Palash Sarkar, Ashish Kumar Upadhyay:
Direct Construction of Optimal Z-Complementary Code Sets for all Possible Even Length by Using Pseudo-Boolean Functions. - Yuya Uezato:
Accelerating XOR-based Erasure Coding using Program Optimization Techniques. - Liming Xu, Dave Towey, Andrew P. French, Steve Benford, Zhi Quan Zhou, Tsong Yueh Chen:
Using Metamorphic Relations to Verify and Enhance Artcode Classification. - Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei:
A Low Rank Promoting Prior for Unsupervised Contrastive Learning. - Marthe Bonamy, Linda Cook, Carla Groenland, Alexandra Wesolek:
A tight local algorithm for the minimum dominating set problem in outerplanar graphs. - Reazul Hasan Russel, Mouhacine Benosman, Jeroen van Baar, Radu Corcodel:
Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty. - Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo de Carvalho Dantas, Chanchal K. Roy, Foutse Khomh, Marcelo de Almeida Maia:
Improved Retrieval of Programming Solutions With Code Examples Using a Multi-featured Score. - Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger:
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images. - Harrison Rosenberg, Brian Tang, Kassem Fawaz, Somesh Jha:
Fairness Properties of Face Recognition and Obfuscation Systems. - Xinxin Zuo, Ji Yang, Sen Wang, Zhenbo Yu, Xinyu Li, Bingbing Ni, Minglun Gong, Li Cheng:
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image. - Igor Donevski, Jimmy Jessen Nielsen, Petar Popovski:
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator. - Brian A. Powell:
Role-based lateral movement detection with unsupervised learning. - Mouhamed Abdulla, Weijing Ma:
Remote Teaching and Learning in Applied Engineering: A Post-Pandemic Perspective. - Miaomiao Dong, Taejoon Kim, Minsung Cho, Kangeun Lee, Sung-Rok Yoon:
Link Quality-Guaranteed Minimum-Cost Millimeter-Wave Base Station Deployment. - Andrew Wagenmaker, Max Simchowitz, Kevin G. Jamieson:
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning. - Yue Sun, Deqiang Xu, Zhuoming Huang, Honggang Zhang, Xiaohui Liang:
LIDAUS: Localization of IoT Device via Anchor UAV SLAM. - Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou:
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. - Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
Instance Similarity Learning for Unsupervised Feature Representation. - Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li:
Video Contrastive Learning with Global Context. - Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko:
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. - Kalpana Mahalingam, Palak Pandoh:
Counting scattered palindromes in a finite word. - Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu:
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach. - Anusha Srikanthan, Harish Ravichandar:
Resource-Aware Generalization of Heterogeneous Strategies for Coalition Formation. - Lei Li, Hongbo Fu, Maks Ovsjanikov:
UPDesc: Unsupervised Point Descriptor Learning for Robust Registration. - Xubo Yue, Maher Nouiehed, Raed Al Kontar:
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. - Canyu Yang, Dennis Eschweiler, Johannes Stegmaier:
Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks. - Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour:
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach. - Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher:
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. - Ismail Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. - Michael E. O'Sullivan, Maria Bras-Amorós:
The Key Equation for One-Point Codes. - Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He:
Unifying Global-Local Representations in Salient Object Detection with Transformer. - Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney:
SLAMP: Stochastic Latent Appearance and Motion Prediction. - Jordan Budhu, Anthony Grbic:
Fast and Accurate Optimization of Metasurfaces with Gradient Descent and the Woodbury Matrix Identity. - Ruslan Nikolaev, Binoy Ravindran:
Crystalline: Fast and Memory Efficient Wait-Free Reclamation. - Shashwat Sharma, Piero Triverio:
Electromagnetic Modeling of Lossy Materials with a Potential-Based Boundary Element Method. - Haytham ElFadeel, Stan Peshterliev:
Decoupled Transformer for Scalable Inference in Open-domain Question Answering. - Cem Anil, Xuchan Bao:
Learning to Elect. - Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Scheduling with Communication Delay in Near-Linear Time. - Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova:
An Interleaved Approach to Trait-Based Task Allocation and Scheduling. - Sheng-Yu Wang, David Bau, Jun-Yan Zhu:
Sketch Your Own GAN. - Naama Ben-David, Guy E. Blelloch, Panagiota Fatourou, Eric Ruppert, Yihan Sun, Yuanhao Wei:
Space and Time Bounded Multiversion Garbage Collection. - Ricky X. F. Chen:
Relay a message as far as possible with local decisions in a network. - Wasilij Barsukow, Jonas P. Berberich, Christian Klingenberg:
On the Active Flux scheme for hyperbolic PDEs with source terms. - Wenjie Jiang, Zhide Lu, Dong-Ling Deng:
Quantum Continual Learning Overcoming Catastrophic Forgetting. - Francesco Calimeri, Marco Manna, Elena Mastria, Maria Concetta Morelli, Simona Perri, Jessica Zangari:
I-DLV-sr: A Stream Reasoning System based on I-DLV. - Jan Kukacka, Anja Zenz, Marcel Kollovieh, Dominik Jüstel, Vasilis Ntziachristos:
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina. - Tiffany D. Do, Seong Ioi Wang, Dylan S. Yu, Matthew G. McMillian, Ryan P. McMahan:
Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends. - Ningli Xu, Debao Huang, Shuang Song, Xiao Ling, Chris Strasbaugh, Alper Yilmaz, Halil Sezen, Rongjun Qin:
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse. - Dan Alistarh, Rati Gelashvili, Giorgi Nadiradze:
Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention. - Zanyar Zohourianshahzadi, Jugal K. Kalita:
Neural Twins Talk & Alternative Calculations. - E. William Webb, Peter J. H. Scott:
Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering. - Pablo Becker, Luis Olsina:
ProcessCO v1.3's Terms, Properties, Relationships and Axioms - A Core Ontology for Processes. - Carla Floricel, Nafiul Nipu, Mikayla Biggs, Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai:
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy. - Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, Miles Brundage:
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications. - Matthew T. Regehr, Alex Ayoub:
An Elementary Proof that Q-learning Converges Almost Surely. - Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi:
Topology Optimization for Manufacturing with Accessible Support Structures. - Muhammad Moin Khan, Khurram Shahzad, Muhammad Kamran Malik:
Hate Speech Detection in Roman Urdu. - Kunho Kim, Sivakanth Gopi, Janardhan Kulkarni, Sergey Yekhanin:
Differentially Private n-gram Extraction. - Shizhe Chen, Dong Huang:
Elaborative Rehearsal for Zero-shot Action Recognition. - Òscar Garibo i Orts, Miguel A. García-March, J. Alberto Conejero:
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories. - Zachariah Beasley, Alon Friedman, Paul Rosen:
Through the Looking Glass: Insights into Visualization Pedagogy through Sentiment Analysis of Peer Review Text. - Jefferson Fontinele, Gabriel Lefundes, Luciano Oliveira:
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation. - Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme:
Multimodal Meta-Learning for Time Series Regression. - Qi Wu, Cheng-Ju Wu, Yixin Zhu, Jungseock Joo:
Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene. - Jan Glaubitz:
Construction and application of provable positive and exact cubature formulas. - Heng-Li Liu, Quan-Lin Li, Xiaole Wu, Chi Zhang:
Two Basic Queueing Models of Service Platforms in Digital Sharing Economy. - Eva Vanmassenhove, Johanna Monti:
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena. - Yue Sun, Zhuoming Huang, Honggang Zhang, Zhi Cao, Deqiang Xu:
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning. - Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. - Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang:
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. - Shagufta Henna, Shyam Krishnan Kalliadan:
Enterprise Analytics using Graph Database and Graph-based Deep Learning. - Shagufta Henna, Aparna Reji:
A Data Augmented Approach to Transfer Learning for Covid-19 Detection. - Shagufta Henna:
Understanding Human Innate Immune System Dependencies using Graph Neural Networks. - Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang:
Disentangled Lifespan Face Synthesis. - Aotao Xu, Jennifer E. Stellar, Yang Xu:
Evolution of emotion semantics. - Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach. - Xiang Ma, Haijian Sun, Qun Wang, Rose Qingyang Hu:
User Scheduling for Federated Learning Through Over-the-Air Computation. - Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi:
Basis Scaling and Double Pruning for Efficient Transfer Learning. - Chris Collins, Roxana Cuevas, Edward Hernandez, Reece Hernandez, Breanna Le, Jongwook Woo:
Scalable Analysis for Covid-19 and Vaccine Data. - Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan:
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents. - Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng:
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist. - Jonathan Wallen, Maddyson Jeske, Zhuoyuan Song:
Co-design Optimization for Underwater Vehicle Docking Systems. - Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert:
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis. - Minghua Chen, Fan Yu, Qingdong Zhang:
Weighted and shifted BDF2 methods on variable grids. - Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. - Lisi Jiang, Hamid Jafarkhani:
Reconfigurable Intelligent Surface-Assisted mmWave multi-UAV Wireless Cellular Networks. - Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley:
Toward Efficient Online Scheduling for Distributed Machine Learning Systems. - Andre S. Sunahara, Matjaz Perc, Haroldo V. Ribeiro:
Association between productivity and journal impact across disciplines and career age. - Stamatis Karnouskos, Roopak Sinha, Paulo Leitão, Luis Ribeiro, Thomas I. Strasser:
The Applicability of ISO/IEC 25023 Measures to the Integration of Agents and Automation Systems. - Kenny Peng, Arunesh Mathur, Arvind Narayanan:
Mitigating dataset harms requires stewardship: Lessons from 1000 papers. - Yulin Li, Yuxi Qian, Yuchen Yu, Xiameng Qin, Chengquan Zhang, Yan Liu, Kun Yao, Junyu Han, Jingtuo Liu, Errui Ding:
StrucTexT: Structured Text Understanding with Multi-Modal Transformers. - Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. - Min Yang, Dongliang He, Miao Fan, Baorong Shi, Xuetong Xue, Fu Li, Errui Ding, Jizhou Huang:
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features. - Thuan Trong Nguyen, Thuan Q. Nguyen, Dung Vo, Vi Nguyen, Ngoc Ho, Nguyen D. Vo, Kiet Van Nguyen, Khang Nguyen:
VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition. - Ziying Lin, Wei Dong, Sensen Liu, Xinjun Sheng, Xiangyang Zhu:
An Efficient Egocentric Regulator for Continuous Targeting Problems of the Underactuated Quadrotor. - Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang:
Detailed Avatar Recovery from Single Image. - Armin Sadreddin, Samira Sadaoui:
Incremental Feature Learning For Infinite Data. - Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng:
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. - Raditya Muhammad, Muhammad Iqbal, Ratna Mayasari:
Implementasi dan Analisis Performa Bonding Interface Mode 802.3ad sebagai Link Redundancy pada Router Mikrotik. - Kodai Tokieda, Takafumi Iwaguchi, Hiroshi Kawasaki:
High-frequency shape recovery from shading by CNN and domain adaptation. - Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. - Jindi Zhang, Yang Lou, Jianping Wang, Kui Wu, Kejie Lu, Xiaohua Jia:
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles. - Harm de Wet, Vukosi Marivate:
Is it Fake? News Disinformation Detection on South African News Websites. - Seonguk Seo, Joon-Young Lee, Bohyung Han:
Unsupervised Learning of Debiased Representations with Pseudo-Attributes. - Wei Wang, Weiqing Min, Tianhao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang:
Vision-Based Food Analysis for Automatic Dietary Assessment. - Kaiwei Che, Chengwei Ye, Yibing Yao, Nachuan Ma, Ruo Zhang, Jiankun Wang, Max Q.-H. Meng:
Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos. - Sihwan Kim, Dae Yon Jung, Taejang Park:
Auxiliary Class Based Multiple Choice Learning. - Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang:
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding. - Binyu Lu, Rui Wang, Yiming Liu:
Outage Probability of Intelligent Reflecting Surfaces Assisted Full Duplex Two-way Communications. - Christoph Salge, Claus Aranha, Adrian Brightmoore, Sean Butler, Rodrigo Canaan, Michael Cook, Michael Cerny Green, Hagen Fischer, Christian Guckelsberger, Jupiter Hadley, Jean-Baptiste Hervé, Mark Richard Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius:
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. - Antoni Rosinol, Luca Carlone:
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization. - Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai:
Learning Meta-class Memory for Few-Shot Semantic Segmentation. - Yan Bai, Jile Jiao, Shengsen Wu, Yihang Lou, Jun Liu, Xuetao Feng, Ling-Yu Duan:
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning. - Jonas Kjær Rask, Frederik Palludan Madsen, Nick Battle, Hugo Daniel Macedo, Peter Gorm Larsen:
The Specification Language Server Protocol: A Proposal for Standardised LSP Extensions. 3-18 - Rutger van Beusekom, Bert de Jonge, Paul F. Hoogendijk, Jan Nieuwenhuizen:
Dezyne: Paving the Way to Practical Formal Software Engineering. 19-30 - Mitja Kulczynski, Axel Legay, Dirk Nowotka, Danny Bøgsted Poulsen:
Analysis of Source Code Using UPPAAL. 31-38 - Andrea Domenici, Cinzia Bernardeschi:
A Logic Theory Pattern for Linearized Control Systems. 46-52 - Stefan Mitsch:
Implicit and Explicit Proof Management in KeYmaera X. 53-67 - Shiri Morshtein, Ran Ettinger, Shmuel S. Tyszberowicz:
Verifying Time Complexity of Binary Search using Dafny. 68-81 - Benedikt F. H. Becker, Cláudio Belo Lourenço, Claude Marché:
Explaining Counterexamples with Giant-Step Assertion Checking. 82-88 - Gidon Ernst, Johannes Blau, Toby Murray:
Deductive Verification via the Debug Adapter Protocol. 89-96 - Yannick Moy:
How the Analyzer can Help the User Help the Analyzer. 97-104 - Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He:
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting. - Alexander Vandenbroucke, Tom Schrijvers:
Disjunctive Delimited Control. - Huaiyang Huang, Yuxiang Sun, Jin Wu, Jiaohao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu:
On Bundle Adjustment for Multiview PointCloud Registration. - Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He:
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation. - Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen:
Improving Contrastive Learning by Visualizing Feature Transformation. - Wei Wang, Piji Li, Hai-Tao Zheng:
Sentence Semantic Regression for Text Generation. - Alessandro Alla, Hugo Oliveira, Gabriele Santin:
HJB-RBF based approach for the control of PDEs. - Maryam Olyaee, Juan M. Romero-Jerez, Francisco Javier López-Martínez, Andrea J. Goldsmith:
Alternative Formulations for the Fluctuating Two-Ray Fading Model. - Chaithya G. R., Pierre Weiss, Guillaume Daval-Frerot, Aurélien Massire, Alexandre Vignaud, Philippe Ciuciu:
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging. - Stefan Wildhagen, Frank Allgöwer:
Rollout event-triggered control: Reconciling event- and time-triggered control. - Danil Annenkov, Mikkel Milo, Jakob Botsch Nielsen, Bas Spitters:
Extracting functional programs from Coq, in Coq. - Bhavani Sambaturu, Ashutosh Gupta, C. V. Jawahar, Chetan Arora:
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images. - Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Adjusting PageRank parameters and Comparing results. - Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Zihang Zhang, Qiwei Zhan, Zhennan Zhou:
Fast Algorithms and Error Analysis of Caputo Derivatives with Small Factional Orders. - Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang:
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. - Hongbing Zhang, Xinyi Liu, Hongtao Fan, Yajing Li, Yinlin Ye:
Fast and Accurate Low-Rank Tensor Completion Methods Based on QR Decomposition and L2, 1 Norm Minimization. - Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici Wu, Zhiyong Feng:
MmWave Radar and Vision Fusion for Object Detection for Autonomous Driving: A Review. - Dengfeng Ke, Yuxing Lu, Xudong Liu, Yanyan Xu, Jing Sun, Chenghao Cai:
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures. - Qiang Qiang Liu, Quan Li, Zhihua Zhu, Tangzhi Ye, Xiaojuan Ma:
Inspecting the Process of Bank Credit Rating via Visual Analytics. - Larissa Chazette, Wasja Brunotte, Timo Speith:
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. - Rashmi Bakshi, Jane Courtney, Damon Berry, Graham Gavin:
Feature Detection for Hand Hygiene Stages. - L. Petruzzellis, Andrea Fronzetti Colladon, M. Visentin, J.-C. Chebat:
Tell me a story about yourself: The words of shopping experience and self-satisfaction. - Jean-Philippe Chancelier, Michel De Lara, Benjamin Heymann:
Conditional Separation as a Binary Relation. - Gwantae Kim, David K. Han, Hanseok Ko:
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features. - Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. - Viktor Besin, Markus Hecher, Stefan Woltran:
Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs. - Rui Abreu, Marco Couto, Luís Cruz, Jácome Cunha, João Paulo Fernandes, Rui Pereira, Alexandre Perez, João Saraiva:
Green Software Lab: Towards an Engineering Discipline for Green Software. - Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang:
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. - Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi:
Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints. - Igor Donevski, Israel Leyva-Mayorga, Jimmy Jessen Nielsen, Petar Popovski:
Performance trade-offs in cyber-physical control applications with multi-connectivity. - Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar:
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. - Zhao Ren, Yi Chang, Björn W. Schuller:
The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge. - Jessica Magallanes, Tony Stone, Paul D. Morris, Suzanne Mason, Steven Wood, Maria-Cruz Villa-Uriol:
Sequen-C: A Multilevel Overview of Temporal Event Sequences. - Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Akihiro Kishimoto, Makoto Kogoh, Takumi Hongo, Kumiko Fujieda, Hideaki Nakashika, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Junta Fuchiwaki, Daiju Nakano:
Molecule Generation Experience: An Open Platform of Material Design for Public Users. - Shyam Sundar Kannan, Ahreum Lee, Byung-Cheol Min:
External Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot. - Sabin Devkota, Matthew P. LeGendre, Adam Kunen, Pascal Aschwanden, Katherine E. Isaacs:
CFGConf: Supporting high level requirements for visualizing Control Flow Graphs. - Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl:
Real-Time Visual Analysis of High-Volume Social Media Posts. - Gregor Gantner, Raymond van Venetië:
Adaptive space-time BEM for the heat equation. - Panchi Li, Lei Yang, Jin Lan, Rui Du, Jingrun Chen:
A second-order semi-implicit method for the inertial Landau-Lifshitz-Gilbert equation. - Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko:
Towards a Semantics for Hybrid ASP systems. - Shuvendu Roy, Ali Etemad:
Spatiotemporal Contrastive Learning of Facial Expressions in Videos. - Tushar M. Athawale, Sudhanshu Sane, Chris R. Johnson:
Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases. - David Tuxworth, Dimosthenis Antypas, Luis Espinosa Anke, José Camacho-Collados, Alun D. Preece, David Rogers:
Deriving Disinformation Insights from Geolocalized Twitter Callouts. - Aiqi Jiang, Xiaohan Yang, Yang Liu, Arkaitz Zubiaga:
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection. - Wen-Cheng Chen, Min-Chun Hu, Chu-Song Chen:
STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing. - Danil Annenkov, Martin Elsman:
Certified Compilation of Financial Contracts. - Yunxia Lin, Songcan Chen:
Rectified Euler k-means and Beyond. - Tidhar Lambez, Kobi Cohen:
Anomaly Search with Multiple Plays under Delay and Switching Costs. - (Withdrawn) Transferring Knowledge Distillation for Multilingual Social Event Detection.
- Mohammad Kasra Habib, Stefan Wagner, Daniel Graziotin:
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work. - Haode Yan, Yongbo Xia, Chunlei Li, Tor Helleseth, Maosheng Xiong, Jinquan Luo:
The Differential Spectrum of the Power Mapping xpn-3. - Aiqi Jiang, Arkaitz Zubiaga:
Cross-lingual Capsule Network for Hate Speech Detection in Social Media. - Damiano Azzolini, Fabrizio Riguzzi:
Optimizing Probabilities in Probabilistic Logic Programs. - Michel De Lara, Jean-Philippe Chancelier, Benjamin Heymann:
Topological Conditional Separation. - Benjamin Heymann, Michel De Lara, Jean-Philippe Chancelier:
Causal Inference Theory with Information Dependency Models. - Loris Bozzato, Thomas Eiter, Rafael Kiesel:
Reasoning on Multi-Relational Contextual Hierarchies via Answer Set Programming with Algebraic Measures. - Sarah Turner, Jason R. C. Nurse, Shujun Li:
When Googling it doesn't work: The challenge of finding security advice for smart home devices. - Elsie Lee-Robbins, Shiqing He, Eytan Adar:
Learning Objectives, Insights, and Assessments: How Specification Formats Impact Design. - Laurence Boxer:
Beyond the Hausdorff Metric in Digital Topology. - Kai Feng, Weixing Li, Jun Han, Feng Pan, Dongdong Zheng:
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection. - Ufuk Demir, Atahan Ozer, Yusuf Huseyin Sahin, Gozde Unal:
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation. - Girish Joshi, Girish Chowdhary:
Stochastic Deep Model Reference Adaptive Control. - Vishrant Tripathi, Luca Ballotta, Luca Carlone, Eytan H. Modiano:
Computation and Communication Co-Design for Real-Time Monitoring and Control in Multi-Agent Systems. - Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. - Harry Mason, Lorenzo Cristoni, Andrew Walden, Roberto Lazzari, Thomas Pulimood, Louis Grandjean, Claudia A. M. Gandini Wheeler-Kingshott, Yipeng Hu, Zachary M. C. Baum:
Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia. - Wasu Kudisthalert, Kitsuchart Pasupa, Aythami Morales, Julian Fiérrez:
SELM: Siamese Extreme Learning Machine with Application to Face Biometrics. - Bing Yu, Lei Zhang, Pingwen Zhang, Xiangcheng Zheng:
Computing solution landscape of nonlinear space-fractional problems via fast approximation algorithm. - Iago Suárez, José Miguel Buenaposada, Luis Baumela:
ELSED: Enhanced Line SEgment Drawing. - Daniel Yago, Juan Carlos Cante, Oriol Lloberas-Valls, Javier Oliver:
Topology Optimization Methods for 3D Structural Problems: A Comparative Study. - Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. - Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao:
Full-Duplex Strategy for Video Object Segmentation. - Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Source-Free Domain Adaptation for Image Segmentation. - Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer:
Independence Properties of Generalized Submodular Information Measures. - Hugo Alcaraz-Herrera, John Cartlidge:
Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. - Jonathan C. Roberts:
Learning Activities in Colours and Rainbows for Programming Skill Development. - Marco Fabris, Giulia Michieletto, Angelo Cenedese:
A General Regularized Distributed Solution for System State Estimation from Relative Measurements. - Aoyu Gong, Lei Deng, Fang Liu, Yijin Zhang:
Dynamic Control for Random Access in Deadline-Constrained Broadcasting. - Carlos H. Mendoza-Cardenas, Austin J. Brockmeier:
Shift-invariant waveform learning on epileptic ECoG. - Bishoksan Kafle, Graeme Gange, Peter J. Stuckey, Peter Schachte, Harald Søndergaard:
Transformation-Enabled Precondition Inference. - Haifeng Ji, Feng Wang, Jinru Chen, Zhilin Li:
Analysis of nonconforming IFE methods and a new scheme for elliptic interface problems. - Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari:
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. - Vladimir Lifschitz:
Here and There with Arithmetic. - Anton Lukyanenko, Damoon Soudbakhsh:
Sampling-based multi-agent choreography planning: a metric space approach. - Oscar Castañeda, Gian Marti, Christoph Studer:
Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO. - Yong Yuan, Kevin Tole, Fei Ni, Kun He, Zhengda Xiong, Jinfa Liu:
Adaptive Simulated Annealing with Greedy Search for the Circle Bin Packing Problem. - Shengzhao Wang, Meitang Li, Bo Yu, Shan Bao, Yuren Chen:
Investigating The Impacting Factors on The Public's Attitudes Towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data. - Bingheng Wang, Zhengtian Ma, Shupeng Lai, Lin Zhao, Tong Heng Lee:
Differentiable Moving Horizon Estimation for Robust Flight Control. - Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup:
Temporally Abstract Partial Models. - James Fiedler:
Simple Modifications to Improve Tabular Neural Networks. - Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani:
Analysis of Driving Scenario Trajectories with Active Learning. - Chuan Jiang, Sanjay G. Rao, Mohit Tawarmalani:
FloMore: Meeting bandwidth requirements of flows. - Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl:
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. - Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. - Nikhil Gosala, Abhinav Valada:
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. - Hao Zhou, Anye Zhou, Tienan Li, Danjue Chen, Srinivas Peeta, Jorge A. Laval:
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control. - Ahmed Al-Saffar, Anthony E. Stancombe, Ali Zamani, Amin M. Abbosh:
Operational Learning-based Boundary Estimation in Electromagnetic Medical Imaging. - Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra:
SMOTified-GAN for class imbalanced pattern classification problems. - Kyung-bin Kwon, Hao Zhu:
Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. - Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu:
The Right to Talk: An Audio-Visual Transformer Approach. - Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé:
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. - Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan:
Facebook AI WMT21 News Translation Task Submission. - Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu:
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. - Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. - Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller:
Concept Drift Detection with Variable Interaction Networks. - Erik Pitzer, Gabriel Kronberger:
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem. - Daan Camps, Efekan Kökcü, Lindsay Bassman, Wibe A. de Jong, Alexander F. Kemper, Roel Van Beeumen:
An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation. - Mohamed Mejri, Aymen Mejri, Oumayma Mejri, Chiraz Fekih:
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification. - (Withdrawn) Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data.
- Fitzroy D. Nembhard, Marco M. Carvalho:
A Smart and Defensive Human-Machine Approach to Code Analysis. - Tianyi Xu, Ding Zhang, Parth H. Pathak, Zizhan Zheng:
Joint AP Probing and Scheduling: A Contextual Bandit Approach. - Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. - Ekaterina Redekop, Alexey Chernyavskiy:
Medical image segmentation with imperfect 3D bounding boxes. - Bencheng Wei, Jason Li, Ajay Gupta, Hafiza Umair, Atsu Vovor, Natalie Durzynski:
Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning. - Sawood Alam, Michele C. Weigle, Michael L. Nelson:
Profiling Web Archival Voids for Memento Routing. - Zhongyun Liu, Fang Zhang, Carla Ferreira, Yulin Zhang:
On circulant and skew-circulant splitting algorithms for (continuous) Sylvester equations. - Changjae Oh, Yik Lung Pang, Andrea Cavallaro:
OHPL: One-shot Hand-eye Policy Learner. - Iou-Jen Liu, Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing:
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. - Tanhim Islam, Tanjir Alam Chisty, Amitabha Chakrabarty:
A Deep Neural Network Approach for Crop Selection and Yield Prediction in Bangladesh. - Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan:
Distilling Transformers for Neural Cross-Domain Search. - Karl F. A. Friebel, Stephanie Soldavini, Gerald Hempel, Christian Pilato, Jerónimo Castrillón:
From Domain-Specific Languages to Memory-Optimized Accelerators for Fluid Dynamics. - Fida Mohammad Thoker, Cees G. M. Snoek:
Feature-Supervised Action Modality Transfer. - Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. - Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen:
Towards Zero-shot Language Modeling. - Eric Goles Ch., Marco Montalva-Medel, Pedro Montealegre, Martín Ríos-Wilson:
On the complexity of the generalized Q2R automaton. - Arun Kandoor:
Tiny Neural Models for Seq2Seq. - Shuxiao Chen, Xiangyu Wu, Mark W. Mueller, Koushil Sreenath:
Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles. - Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian:
Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs. - Xuan Li, Yu Fang, Minchen Li, Chenfanfu Jiang:
BFEMP: Interpenetration-Free MPM-FEM Coupling with Barrier Contact. - Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan:
Learning to Represent Human Motives for Goal-directed Web Browsing. - Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li:
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning. - Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen:
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition. - Nian Liu, Jinyu Gu, Dahai Tang, Kenli Li, Binyu Zang, Haibo Chen:
Asymmetry-aware Scalable Locking. - Mingyuan Zhong, Gang Li, Peggy Chi, Yang Li:
HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions. - Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. - Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck:
PatchRNN: A Deep Learning-Based System for Security Patch Identification. - Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang:
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation. - Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang:
What do Bias Measures Measure? - Arpit Narechania, Alireza Karduni, Ryan Wesslen, Emily Wall:
VitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics. - Xifeng Gao, Zherong Pan, Ruiqi Ni:
Multi-Robot Path Planning in Complex Environments via Graph Embedding. - Angelos Charalambidis, Panos Rondogiannis, Antonis Troumpoukis:
A Logical Characterization of the Preferred Models of Logic Programs with Ordered Disjunction. - Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan:
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. - Poonam Adhikari, Ritesh Kumar, S. R. S. Iyengar, Rishemjit Kaur:
What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance. - Hassan Keshvari Khojasteh, Hoda Mohammadzade, Hamid Behroozi:
Temporal Action Localization Using Gated Recurrent Units. - Jing Yang Lee, Kong Aik Lee, Woon-Seng Gan:
Generating Personalized Dialogue via Multi-Task Meta-Learning. - Md. Tareq Mahmood, Mohammed Eunus Ali:
Learning Indoor Layouts from Simple Point-Clouds. - Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen:
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes. - Yifang Wang, Tai-Quan Peng, Huihua Lu, Haoren Wang, Xiao Xie, Huamin Qu, Yingcai Wu:
Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers. - Jiafu Wan, Xiaomin Li, Hong-Ning Dai, Andrew Kusiak, Miguel Martínez-García, Di Li:
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges. - Muhammad Waseem, Peng Liang, Mojtaba Shahin, Amleto Di Salle, Gastón Márquez:
Design, Monitoring, and Testing of Microservices Systems: The Practitioners' Perspective. - Wei Liao, Taotao Liang, Xiaohui Wei, Qiaozhi Yin:
Probabilistic Reach-Avoid Reachability in Nondeterministic Systems with Time-VaryingTargets and Obstacles. - Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. - Ruizhi Zhang, Sasindu Wijeratne, Yang Yang, Sanmukh R. Kuppannagari, Viktor K. Prasanna:
A High Throughput Parallel Hash Table on FPGA using XOR-based Memory. - Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia:
Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN). - Muhammad Ayoub Kamal:
Arduino Controlled Spy Robo Car using Wireless Camera With live Streaming. - Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. - Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione, Alessandro Aprato, Enrico Vezzetti:
Vision Transformers for femur fracture classification. - Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. - Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu:
Learning Facial Representations from the Cycle-consistency of Face. - Boyu Chen, Peixia Li, Baopu Li, Chuming Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang:
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing. - Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - U. H. D. Thinura Nethpiya Ariyaratne:
Next generation of IEEE 802.11 by minimizing the current problems. - Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. - Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. - Ahmad Zareie, Rizos Sakellariou:
Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods. - Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang:
Towards Discriminative Representation Learning for Unsupervised Person Re-identification. - Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri:
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. - Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh:
Deformable Image Registration using Neural ODEs. - Rodrigo S. Jamisola Jr.:
A Machine Learning Tool to Determine State of Mind and Emotion. - Guoquan Shi, Huajun Zhu, Zhen-Guo Yan:
A priori subcell limiting approach for the FR/CPR method on unstructured meshes. - Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Self-learning sparse PCA for multimode process monitoring. - Ruo-Ze Liu:
Rethinking of AlphaStar. - Andrzej Lingas, Mia Persson, Dzmitry Sledneu:
An output-sensitive algorithm for all-pairs shortest paths in directed acyclic graphs. - Liwei Lin, Qiuqiang Kong, Junyan Jiang, Gus Xia:
A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis. - Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen:
Stereo Waterdrop Removal with Row-wise Dilated Attention. - Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Scientific X-ray. - Gianluca Frasca Caccia, Pranav Singh:
Optimal parameters for numerical solvers of PDEs. - Bhathiya Rathnayake, Mamadou Diagne, Iasson Karafyllis:
Sampled-Data and Event-triggered Boundary Control of a Class of Reaction-Diffusion PDEs with Collocated Sensing and Actuation. - Tiasa Mondol:
On the Computational Complexity of Determining Value. - Yingqing He, Yazhou Xing, Tianjia Zhang, Qifeng Chen:
Unsupervised Portrait Shadow Removal via Generative Priors. - Hmrishav Bandyopadhyay, Shuvayan Ghosh Dastidar, Bisakh Mondal, Biplab Banerjee, Nibaran Das:
A distillation based approach for the diagnosis of diseases. - Jukka Pajunen, Tomi Janhunen:
Solution Enumeration by Optimality in Answer Set Programming. - Karen Schrier, Eugene Ohu, Ikeola Bodunde, Morenike Alugo, Cynthia Emami, Adeola Babatunde:
Piloting a Game Jam in Nigeria to Support Empathy and Compassion. - Umut Guloglu, Sajjad Baghaee, Elif Uysal:
Evaluation of Age Control Protocol (ACP) and ACP+ on ESP32. - Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde:
TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems. - Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis:
An empirical assessment of deep learning approaches to task-oriented dialog management. - Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo:
Building Analytics Pipelines for Querying Big Streams and Data Histories with H-STREAM. - Carlo H. Godoy Jr.:
Augmented Reality and Gamification: A Framework for Developing Supplementary Learning Tool. - Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin:
Impact of Aliasing on Generalization in Deep Convolutional Networks. - Mahnaz Rafia Islam, Israt Jahan Jenny, Moniruzzaman Nayon, Md. Rajibul Islam, Md. Amiruzzaman, Mohammad Abdullah-Al-Wadud:
Clustering Algorithms to Analyze the Road Traffic Crashes. - Elbert Du:
Approximate Last Iterate Convergence in Overparameterized GANs. - Zhiyuan Guo, Yizhou Shan, Xuhao Luo, Yutong Huang, Yiying Zhang:
Clio: A Hardware-Software Co-Designed Disaggregated Memory System. - Hichem Semira, Ferdi Kara:
Error Performance of Uplink SIMO-NOMA with Joint Maximum-Likelihood and Adaptive M-PSK. - Mi Zhou, Yue Guan, Mohammad Hayajneh, Kaicheng Niu, Chaouki T. Abdallah:
Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey. - Luca Surace, Marek Wernikowski, Okan Tarhan Tursun, Karol Myszkowski, Radoslaw Mantiuk, Piotr Didyk:
Learning Foveated Reconstruction to Preserve Perceived Image Statistics. - Alexandr Nikolich, Arina Puchkova:
Fine-tuning GPT-3 for Russian Text Summarization. - Christian Wilms, Simone Frintrop:
DeepFH Segmentations for Superpixel-based Object Proposal Refinement. - Aadesh Bagmar, Shishira R. Maiya, Shruti Bidwalka, Amol Deshpande:
Membership Inference Attacks on Lottery Ticket Networks. - Haoyu Fang, Jing Zhu, Yi Fang:
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation. - Zhuofan Zhang, Mi Zhou, Kaicheng Niu, Chaouki T. Abdallah:
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset. - Ruixiang Cui, Rahul Aralikatte, Heather C. Lent, Daniel Hershcovich:
Multilingual Compositional Wikidata Questions. - Tanujay Saha, Najwa Aaraj, Niraj K. Jha:
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems. - Negin Golrezaei, Evan Yao:
Online Resource Allocation with Time-Flexible Customers. - Wesley Willett, Bon Adriel Aseniero, Sheelagh Carpendale, Pierre Dragicevic, Yvonne Jansen, Lora Oehlberg, Petra Isenberg:
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization. - Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang, Oliver Deussen:
SpEuler: Semantics-preserving Euler Diagrams. - Pei Peng, Emina Soljanin:
Covert, Low-Delay, Coded Message Passing in Mobile (IoT) Networks. - Ammar Shaker, Shujian Yu:
Learning to Transfer with von Neumann Conditional Divergence. - Ife Adebara, Muhammad Abdul-Mageed:
Improving Similar Language Translation With Transfer Learning. - Haonan Peng, Shan Lin, Daniel King, Yun-Hsuan Su, Randall A. Bly, Kris S. Moe, Blake Hannaford:
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation. - Emily Wall, Arpit Narechania, Adam Coscia, Jamal Paden, Alex Endert:
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases. - Xinru Chen, Menghan Hu, Guangtao Zhai:
Cough Detection Using Selected Informative Features from Audio Signals. - Eric Nguyen, Tu Bui, Vishy Swaminathan, John P. Collomosse:
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution. - Oladotun Aluko, Anton Kolonin:
Proof-of-Reputation: An Alternative Consensus Mechanism for Blockchain Systems. - Shahd Elashmawy, Marian Ramsis, Hesham M. Eraqi, Farah Eldeshnawy, Hadeel Mabrouk, Omar Abugabal, Nourhan Sakr:
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading. - Di Huang, Jacob Bartel, John Palowitch:
Recurrent Graph Neural Networks for Rumor Detection in Online Forums. - Lv Tang, Bo Li, Shouhong Ding, Mofei Song:
Disentangled High Quality Salient Object Detection. - Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Self-Adversarial Disentangling for Specific Domain Adaptation. - Devleena Das, Sonia Chernova:
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures. - Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri S. Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon:
Contrastive Representation Learning for Rapid Intraoperative Diagnosis of Skull Base Tumors Imaged Using Stimulated Raman Histology. - Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
Context-Aware Mixup for Domain Adaptive Semantic Segmentation. - Jongkil Jay Jeong:
Success in IT offshoring: Does it depend on the location or the company? - Jongkil Jay Jeong:
Data Analysis: Communicating with Offshore Vendors using Instant Messaging Services. - Georg A. Gottwald, Sebastian Reich:
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations. - Qifan Deng, Rajkumar Buyya:
Master Graduation Thesis: A Lightweight and Distributed Container-based Framework. - Nuh Aydin, Peihan Liu, Bryan Yoshino:
A Database of Quantum Codes. - Ruohao Guo, Liao Qu, Dantong Niu, Zhenbo Li, Jun Yue:
LeafMask: Towards Greater Accuracy on Leaf Segmentation. - Debdutta Chatterjee, Arindam Dutta, Dibakar Sil, Aniruddha Chandra:
Deep Single Shot Musical Instrument Identification using Scalograms. - Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett:
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. - An Nguyen:
Language Model Evaluation in Open-ended Text Generation. - Simant Dube:
Expressive Power and Loss Surfaces of Deep Learning Models. - Jing Liang, Li Niu, Fengjun Guo, Teng Long, Liqing Zhang:
Visible Watermark Removal via Self-calibrated Localization and Background Refinement. - Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak:
Ensemble neuroevolution based approach for multivariate time series anomaly detection. - Zhizhong Chen, Carsten Eickhoff:
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance. - Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman:
A Look at the Evaluation Setup of the M5 Forecasting Competition. - Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen:
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning. - Emmanuel Senft, Michael Hagenow, Robert G. Radwin, Michael R. Zinn, Michael Gleicher, Bilge Mutlu:
Situated Live Programming for Human-Robot Collaboration. - (Withdrawn) MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting.
- Qi Wen, Shuang Li, Bingfeng Han, Yi Yuan:
ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach. - Kaori Yuda, Shota Kamei, Riku Tanji, Ryoya Ito, Ippo Wakana, Maxim Mozgovoy:
Identification of Play Styles in Universal Fighting Engine. - Boubacar Sow, Hiroki Suguri, Hamid Mukhtar, Hafiz Farooq Ahmad:
Using Biological Variables and Social Determinants to Predict Malaria and Anemia among Children in Senegal. - Pascual Julián Iranzo, Fernando Sáenz-Pérez:
Planning for an Efficient Implementation of Hypothetical Bousi~Prolog. - Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre:
Understanding the computational demands underlying visual reasoning. - Jie Yang, Chao-Kai Wen, Shi Jin, Xiao Li:
Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems. - Tian Yu Liu, Jiashi Feng:
Triplet Contrastive Learning for Brain Tumor Classification. - Samir Karasuljic, Sanela Halilovic:
Matematika 1. - Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He:
An EM Framework for Online Incremental Learning of Semantic Segmentation. - Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan:
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection. - Han Sun, Jun Cen, Ningzhong Liu, Dong Liang, Huiyu Zhou:
MPI: Multi-receptive and Parallel Integration for Salient Object Detection. - Rui Dai, Srijan Das, François Brémond:
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection. - Magnus Lie Hetland, Halvard Hummel:
Fairest Neighbors: Tradeoffs Between Metric Queries. - Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh, Wesley Price, Young-Hak Kim, Edward Choi:
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. - Pawan S. Jogi, Rishi Sharma, Hemanth Sai Ram Reddy, M. Vani, Jeny Rajan:
WideCaps: A Wide Attention based Capsule Network for Image Classification. - Jerry Chien Lin Ho, Chi-Yi Lin:
An Anonymous On-Street Parking Authentication Scheme via Zero-Knowledge Set Membership Proof. - Michael S. Jolly, Ali Pakzad:
Data Assimilation with Higher Order Finite Element Interpolants. - Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
Deep Neural Network for DrawiNg Networks, (DNN)2. - Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. - Zexi Hu, Henry Wing Fung Yeung, Xiaoming Chen, Yuk Ying Chung, Haisheng Li:
Efficient Light Field Reconstruction via Spatio-Angular Dense Network. - Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He:
Saliency-Associated Object Tracking. - Paul W. Goldberg, Ioana Iaru:
Equivalence of Models of Cake-Cutting Protocols. - Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise. - Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters. - Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding:
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer. - Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. - Rongrong Gao, Na Fan, Changlin Li, Wentao Liu, Qifeng Chen:
Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data. - Xavier Claeys:
Non-self adjoint impedance in Generalized Optimized Schwarz Methods. - Mohamed Tarek, Tapabrata Ray:
Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios. - Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek:
Skeleton-Contrastive 3D Action Representation Learning. - Crescentia Jung, Shubham Mehta, Atharva Kulkarni, Yuhang Zhao, Yea-Seul Kim:
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments. - Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao:
One-Shot Object Affordance Detection in the Wild. - Yan Gu, Yuan Gao, Bin Yao, C. S. George Lee:
Global-Position Tracking Control of 3-D Bipedal Walking via Virtual Constraint Design and Multiple Lyapunov Analysis. - Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan:
Discriminative Latent Semantic Graph for Video Captioning. - Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. - Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
RECALL: Replay-based Continual Learning in Semantic Segmentation. - Walt Williams, Jimmy Hall:
AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides. - Yunyao Mao, Ning Wang, Wengang Zhou, Houqiang Li:
Joint Inductive and Transductive Learning for Video Object Segmentation. - Xiangying Pang, Jiguang Sun, Zhimin Zhang:
FE-Holomorphic Operator Function Method for Nonlinear Plate Vibrations with Elastically Added Masses. - Kushin Mukherjee, Brian Yin, Brianne E. Sherman, Laurent Lessard, Karen B. Schloss:
Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems. - Yueqi Xie, Ka Leong Cheng, Qifeng Chen:
Enhanced Invertible Encoding for Learned Image Compression. - Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya:
Event-driven Vision and Control for UAVs on a Neuromorphic Chip. - Andrew Lizarraga, David S. Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine L. Narr, Shantanu H. Joshi:
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport. - Tom Horak, Norine Coenen, Niklas Metzger, Christopher Hahn, Tamara Flemisch, Julián Méndez, Dennis Dimov, Bernd Finkbeiner, Raimund Dachselt:
Visual Analysis of Hyperproperties for Understanding Model Checking Results. - Roy Ganz, Michael Elad:
BIGRoC: Boosting Image Generation via a Robust Classifier. - Darshan Deshpande, Harshavardhan Abichandani:
Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences. - Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu:
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. - Bumjin Im, Fangfei Yang, Chia-Che Tsai, Michael LeMay, Anjo Vahldiek-Oberwagner, Nathan Dautenhahn:
The Endokernel: Fast, Secure, and Programmable Subprocess Virtualization. - Sajjad Gholamipour, Behzad Akbari, Nader Mokari, Mohammad Mahdi Tajiki, Eduard Axel Jorswieck:
Online Admission Control and Resource Allocation in Network Slicing under Demand Uncertainties. - Masih Haseli, Jorge Cortés:
Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations. - Mostafa Pashazadeh, Kui Wu:
On the Difficulty of Generalizing Reinforcement Learning Framework for Combinatorial Optimization. - Zhenshan Bing, Lukas Knak, Fabrice Oliver Robin, Kai Huang, Alois C. Knoll:
Meta-Reinforcement Learning in Broad and Non-Parametric Environments. - Cristian Millán-Arias, Bruno J. T. Fernandes, Francisco Cruz:
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents. - Ipek Baris Schlicht, Erhan Sezerer, Selma Tekir, Oul Han, Zeyd Boukhers:
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims. - León Bohn, Christof Löding:
Constructing deterministic ω-automata from examples by an extension of the RPNI algorithm. - Zhenge Zhao, Panpan Xu, Carlos Scheidegger, Liu Ren:
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models. - Wei-Rui Chen, Muhammad Abdul-Mageed:
Machine Translation of Low-Resource Indo-European Languages. - Shiguang Deng, Carl Soderhjelm, Diran Apelian, Krishnan Suresh:
Second Order Defeaturing Error Estimator of Porosity on Structural Elastic Performance in Manufactured Metallic Components. - Shiguang Deng, Carl Soderhjelm, Diran Apelian, Ramin Bostanabad:
Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Cast Metallic Alloys with Spatially Varying Microstructures. - Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. - Shiguang Deng, Carl Soderhjelm, Diran Apelian, Krishnan Suresh:
Estimation of Elastic Behavior of Cast Metal Components Containing Process Induced Porosity. - Peshal Nayak:
Performance Evaluation of MU-MIMO Under the Impact of Open Loop Traffic Dynamics. - Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. - Grant Schoenebeck, Biaoshuai Tao:
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences. - Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Scalable adaptive PDE solvers in arbitrary domains. - Susanne Braun, Stefan Deßloch, Eberhard Wolff, Frank Elberzhager, Andreas Jedlitschka:
Tackling Consistency-related Design Challenges of Distributed Data-Intensive Systems - An Action Research Study. - Anand M. Shukla, Pooja D. Pandit, Vasudev M. Purandare, Anuradha Srinivasaraghavan:
Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps. - Jimmy Moore, Pascal Goffin, Jason Wiese, Miriah Meyer:
Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon". - Robert Buechler, Emmanuel Balogun, Arun Majumdar, Ram Rajagopal:
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations. - Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. - Matt-Heun Hong, Jessica K. Witt, Danielle Albers Szafir:
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots. - Pui Ho Lam, Hing Cheung So, Cheung-Fat Chan:
Arbitrary order of convergence for Riesz fractional derivative via central difference method. - Haifeng Ji, Feng Wang, Jinru Chen, Zhilin Li:
An immersed CR-P0 element for Stokes interface problems and the optimal convergence analysis. - Qiong Wu, Ziyang Wang, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness. - Peng Wang, Jixiao Liu, Funing Hou, Dicai Chen, Zihou Xia, Shijie Guo:
Organization and Understanding of a Tactile Information Dataset TacAct During Physical Human-Robot Interactions. - Songyao Jiang, Takeyoshi Kato:
Dynamic Modelling of Combined Cycle Power Plant for Load Frequency Control With Large Penetration of Renewable Energy. - Harshala Gammulle, Tharindu Fernando, Sridha Sridharan, Simon Denman, Clinton Fookes:
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis. - Xian Zhan, Tianming Liu, Lingling Fan, Li Li, Sen Chen, Xiapu Luo, Yang Liu:
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview. - Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. - Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. - Deokgun Park:
Toward Human-Level Artificial Intelligence. - Juncheng Li, Maopeng Ran, Lihua Xie:
Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties. - Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang:
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. - Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman:
COVID-view: Diagnosis of COVID-19 using Chest CT. - Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo:
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. - Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. - Xiangyu Wu, Jun Zeng, Andrea Tagliabue, Mark W. Mueller:
Model-free online motion adaptation for energy efficient flights of multicopters. - Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. - Keqin Liu, Ting Wu:
Whittle Index for A Class of Restless Bandits with Imperfect Observations. - Mario Lázaro:
Damping perturbation based time integration asymptotic method for structural dynamics. - (Withdrawn) P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening.
- Arash Dehghani, Seyyed Ali Seyyedsalehi:
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition. - Yehya Abouelnaga, Mai Bui, Slobodan Ilic:
DistillPose: Lightweight Camera Localization Using Auxiliary Learning. - Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang:
Video Annotation for Visual Tracking via Selection and Refinement. - (Withdrawn) Towards to Robust and Generalized Medical Image Segmentation Framework.
- Zizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen, Guoping Wang:
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network. - Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. - Yan Xie, Jiajun Wang, Hao Dong, Xiaoyu Ren, Liqun Huang, Mingguo Zhao:
Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware. - Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang:
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. - David Tolpin, Tomer Dobkin:
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs. - Xiaolong Zhang:
The mysteries of the best approximation and Chebyshev expansion for the function with logarithmic regularities. - Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multiobjective Minimax Optimization and Applications. - Nan Zhang, Guopeng Zhang, Kezhi Wang, Kun Yang:
Multi-User Cooperative Computation Framework Based on Bertrand Game. - Minghan Wang, Yuxia Wang, Chang Su, Jiaxin Guo, Yingtao Zhang, Yujia Liu, Min Zhang, Shimin Tao, Xingshan Zeng, Liangyou Li, Hao Yang, Ying Qin:
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation. - Fei Zhang, Chaochen Gu, Chenyue Zhang, Yuchao Dai:
Complementary Patch for Weakly Supervised Semantic Segmentation. - Wentao Zhang:
Coordination on Time-Varying Antagonistic Networks. - Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. - Sakib Shahriar:
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network. - Shounian Deng, Chen Fei, Weiyin Fei, Xuerong Mao:
The truncated EM method for stochastic differential delay equations with variable delay. - Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo:
Knowledge Graph Augmented Political Perspective Detection in News Media. - Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo, Erdal Kayacan:
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. - Lars Killian, Jan Backhaus:
Utilizing the RRT*-Algorithm for Collision Avoidance in UAV Photogrammetry Missions. - André Brandenburger, Diego Rodriguez, Sven Behnke:
Mapless Humanoid Navigation Using Learned Latent Dynamics. - Adeep Hande, Siddhanth U. Hegde, Ruba Priyadharshini, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Sajeetha Thavareesan, Bharathi Raja Chakravarthi:
Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages. - Jiehua Chen, Sanjukta Roy:
Euclidean 3D Stable Roommates is NP-hard. - Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, Shiliang Pu:
TransForensics: Image Forgery Localization with Dense Self-Attention. - Mao V. Ngo, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. - (Withdrawn) Rain Removal and Illumination Enhancement Done in One Go.
- Amir Saberi, Farhad Farokhi, Girish N. Nair:
Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems. - Xinwen Jiang:
A Polynomial Time Algorithm for a NPC Problem. - Francesco Marchetti, Gabriele Santin:
Convergence analysis for image interpolation in terms of the cSSIM. - Radu Alexandru Rosu, Sven Behnke:
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis. - Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo:
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. - Pál András Papp, Roland Schmid, Valentin Stoppiello, Roger Wattenhofer:
Two-Class (r, k)-Coloring: Coloring with Service Guarantees. - Siddhanth U. Hegde, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Ratnasingam Sakuntharaj, Sathiyaraj Thangasamy, B. Bharathi, Bharathi Raja Chakravarthi:
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification. - Cristian Alb:
Collapsing the Decision Tree: the Concurrent Data Predictor. - Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh:
Efficient Hyperparameter Optimization for Differentially Private Deep Learning. - Yiliang Li, Jun-e Feng, Jinjin Li:
Reachability of Dimension-Bounded Linear Systems. - Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas:
SPECT Angle Interpolation Based on Deep Learning Methodologies. - Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick:
Probabilistic Active Learning for Active Class Selection. - Zhengbang Cao, Pengpeng Xie:
On some tensor inequalities based on the t-product. - Jiaojiao Fang, Guizhong Liu:
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos. - Yaser Souri, Yazan Abu Farha, Fabien Despinoy, Gianpiero Francesca, Juergen Gall:
FIFA: Fast Inference Approximation for Action Segmentation. - Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas:
Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction. - Filippo Bistaffa:
A Concise Function Representation for Faster Exact MPE and Constrained Optimisation in Graphical Models. - Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. - Dusko Pavlovic:
Probabilistic annotations for protocol models. - Charalambos Chrysostomou:
Sinogram Denoise Based on Generative Adversarial Networks. - Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. - Chi Zhang, Xiaoning Ma, Yu Liu, Le Wang, Yuanqi Su, Yuehu Liu:
Unified Regularity Measures for Sample-wise Learning and Generalization. - Hui Cui, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zheng Zhang:
Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval. - Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke:
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices. - Yingqian Wang, Jungang Yang, Yulan Guo, Chao Xiao, Wei An:
Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution. - Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang:
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution. - Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan, Renjie Butalid:
The State of AI Ethics Report (Volume 5). - Ioannis P. A. Papadopoulos:
Numerical analysis of a discontinuous Galerkin method for the Borrvall-Petersson topology optimization problem. - Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra:
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter. - Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian A. Scherer:
3D Human Reconstruction in the Wild with Collaborative Aerial Cameras. - Sophia Althammer, Arian Askari, Suzan Verberne, Allan Hanbury:
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval. - Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro:
On the Transferability of Neural Models of Morphological Analogies. - Nils Kürbis:
Normalisation and Subformula Property for a System of Classical Logic with Tarski's Rule. - Miguel Ruiz-Garcia:
Some thoughts on catastrophic forgetting and how to learn an algorithm. - Shunbo Zhang, Shun Zhang, Jianpeng Ma, Tian Liu, Octavia A. Dobre:
Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO. - Raoul F. Guiazon:
ABBA: A quasi-deterministic Intrusion Detection System for the Internet of Things. - Nils Kürbis:
Proof-Theory and Semantics for a Theory of Definite Descriptions. - Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro:
A Neural Approach for Detecting Morphological Analogies. - Bin Shi:
On the Hyperparameters in Stochastic Gradient Descent with Momentum. - Nils Schlüter, Moritz Schulze Darup:
Novel convex decomposition of piecewise affine functions. - Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Kohler:
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces. - Rayyan Ahmad Khan, Martin Kleinsteuber:
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. - Ankur Majumdar, Omid Alizadeh Mousavi:
Efficient distribution grid flexibility provision through model-based MV grid and model-less LV grid approach. - Ankur Majumdar, Omid Alizadeh Mousavi:
Distribution Grid Robust Operation under Forecast Uncertainties with Flexibility Estimation from Low Voltage Grids using a Monitoring and Control Equipment. - Vasyl Palchykov, Mariana Krasnytska, Olesya Mryglod, Yurij Holovatch:
Network of scientific concepts: empirical analysis and modeling. - Basilio Calderone, Nabil Hathout, Olivier Bonami:
Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection. - Dmytro Kalpakchi, Johan Boye:
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset. - Guillaume Melquiond:
Plotting in a Formally Verified Way. 39-45 - Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar:
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning. - Yuwei Sun, Hideya Ochiai, Hiroshi Esaki:
Decentralized Deep Learning for Mobile Edge Computing: A Survey on Communication Efficiency and Trustworthiness. - Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang:
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles. - Nick Brown, Mark Klaisoongnoen, Oliver Thomson Brown:
Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques. - Fabrizio Greco, Lorenzo Leonetti, Paolo Lonetti, Raimondo Luciano, Andrea Pranno:
A multiscale analysis of instability-induced failure mechanisms in fiber-reinforced composite structures via alternative modeling approaches. - Zhuoran Xu, Hao Liu:
Knowledge accumulating: The general pattern of learning. - Yu Li, Fei Xiong, Ziyi Wang, Zulong Chen, Chuanfei Xu, Yuyu Yin, Li Zhou:
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning. - Zhengyi Liu, Yuan Wang, Zhengzheng Tu, Yun Xiao, Bin Tang:
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network. - Damian Marek, Shashwat Sharma, Piero Triverio:
A Parallel Boundary Element Method for the Electromagnetic Analysis of Large Structures With Lossy Conductors. - Carolyn Ellis, Matthew Route, Christopher Phillips, Nicholas Smith, Alex Younts:
Cloud to Ground Secured Computing: User Experiences on the Transition from Cloud-Based to Locally-Sited Hardware. - Saeed Mohammadzadeh, Emma Lejeune:
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels. - Xavier Vasques:
A new step for computing. - Jie Chen, Hua Mao:
Efficient algorithms for collecting the statistics of large-scale IP address data. - Shekhar Gupta, Gaurav Kumar Yadav, Gora Chand Nandi:
Development of Human Motion Prediction Strategy using Inception Residual Block. - Jonathon M. Anderson, Yumeng Liu, John M. Mellor-Crummey:
Preparing for Performance Analysis at Exascale. - Daniel Bertschinger, Nicolas El Maalouly, Tillmann Miltzow, Patrick Schnider, Simon Weber:
Topological Art in Simple Galleries. - Guodong Qi, Huimin Yu, Zhaohui Lu, Shuzhao Li:
Transductive Few-Shot Classification on the Oblique Manifold. - Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng:
Dynamic Multi-Scale Loss Optimization for Object Detection. - Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli:
Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace. - Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Kylian Van Dessel, Jo Devriendt, Joost Vennekens:
FOLASP: FO(.) as Input Language for Answer Ser Solvers. - Yiting Chen, Chenguang Yang, Miao Li:
Unknown Object Segmentation through Domain Adaptation. - Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng:
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. - Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen:
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation. - Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. - Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis:
IntenT5: Search Result Diversification using Causal Language Models. - Anuar Taskynov, Vladimir Korviakov, Ivan Mazurenko, Yepan Xiong:
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks. - Huimin Zhou, Qing Li, Yong Jiang, Rongwei Yang, Zhuyun Qi:
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System. - Zhuoyi Zhang, Cheng Jiang, Xiya Zhong, Chang Song, Yifeng Zhang:
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing. - Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Matthieu Simonin, Jean-Christophe Lombardo, Alexis Joly, Patrick Valduriez:
Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum. - Beomseok Seo, Lin Lin, Jia Li:
Mixture of Linear Models Co-supervised by Deep Neural Networks. - Mingming Liu:
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles. - Lin Chen, Jianzhu Lu, Junguang Huang, Huiping Hu, Jiali Peng:
A novel reversible data hiding in encrypted images based on polynomial arithmetic. - Katie Liszewski, Timothy McDonley:
Understanding Tool Synthesis Behavior and Safe Finite State Machine Design. - Gozdenur Demir, Asli Cekmis, Vahit Bugra Yesilkaynak, Gozde Unal:
Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks. - Bogdan Kostic, Julian Risch, Timo Möller:
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models. - Cyrill von Planta, Alena Kopanicáková, Rolf Krause:
Training of deep residual networks with stochastic MG/OPT. - Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto:
The Role of Global Labels in Few-Shot Classification and How to Infer Them. - Yue Chen, Changhong Zhao:
Peer-to-Peer Energy Sharing: A New Business Model Towards a Low-Carbon Future. - Andres Gomez, Andreas Tretter, Pascal Alexander Hager, Praveenth Sanmugarajah, Luca Benini, Lothar Thiele:
Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems. - Sahil Singla, Surbhi Singla, Soheil Feizi:
Householder Activations for Provable Robustness against Adversarial Attacks. - Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li:
Co-learning: Learning from Noisy Labels with Self-supervision. - G. Jaykrishnan, Asaf Levin:
EPTAS for load balancing problem on parallel machines with a non-renewable resource. - Ankur Majumdar, Omid Alizadeh Mousavi:
Grid-Aware Provision and Activation of Fast and Slow Flexibilities from Distributed Resources in Low and Medium Voltage Grids. - André Röhm, Daniel J. Gauthier, Ingo Fischer:
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing. - Sarah-Yifei-Wang:
Aspect-based Sentiment Analysis in Document - FOMC Meeting Minutes on Economic Projection. - André T. Nguyen, Edward Raff, Charles Nicholas, James Holt:
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. - Christophe Bonneville, Christopher J. Earls:
Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data. - Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey. - Logan Brown, Reid Pezewski, Jeremy Straub:
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System. - Xinyu Ni, Michael Baddeley, Nan Jiang, Yichao Jin:
A Self-Configurable Grouping Method for Integrated Wi-SUN FAN and TSCH-based Networks. - Maciej Janik, Niklas Gard, Anna Hilsmann, Peter Eisert:
Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data. - Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang:
Deep Learning for Embodied Vision Navigation: A Survey. - Sam Coy, Artur Czumaj:
Deterministic Massively Parallel Connectivity. - Haojie Liu, Ming Lu, Zhiqi Chen, Xun Cao, Zhan Ma, Yao Wang:
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation. - Andrei Paleyes, Christian Cabrera, Neil D. Lawrence:
Exploring the potential of flow-based programming for machine learning deployment in comparison with service-oriented architectures. - Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Noisy Channel Language Model Prompting for Few-Shot Text Classification. - Niclas Ståhl, Lisa Weimann:
Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks. - Liam F. Chalcroft, Jiongqi Qu, Sophie A. Martin, Iani J. M. B. Gayo, Giulio V. Minore, Imraj R. D. Singh, Shaheer U. Saeed, Qianye Yang, Zachary M. C. Baum, André Altmann, Yipeng Hu:
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels. - Shervin Halat, Mohammad Mehdi Ebadzadeh:
Modified Double DQN: addressing stability. - Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations. - Vanessa Tietz, Julian Schoepf, Andreas Waldvogel, Björn Annighöfer:
A Concept for a Qualifiable (Meta)-Modeling Framework Deployable in Systems and Tools of Safety-critical and Cyber-physical Environments. - Bingzhe Li, Li Ou, David H. C. Du:
DP-DNA: A Digital Pattern-Aware DNA Storage System to Improve Encoding Density. - Mohd Anuar Mat Isa, Muzaffar Hamzah, Daimler Benz Alebaba:
Mobile Blockchain Decentralized Applications (DApps): A Case Study Of IPTM Blockchain Certificate Verification System. - Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Piotr Wygocki:
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf. - Chris Culnane, Christopher J. P. Newton, Helen Treharne:
Technical Report on a Virtual CTAP2 WebAuthn Authenticator. - Linda Alzaben, Daniele Boffi:
On the spectrum of an operator associated with least-squares finite elements for linear elasticity. - Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter:
Fairness in Algorithmic Profiling: A German Case Study. - Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert:
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. - George Papagiannakis:
A computational medical XR discipline. - Erika Bondareva, Jing Han, William Bradlow, Cecilia Mascolo:
Segmentation-free Heart Pathology Detection Using Deep Learning. - Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How:
Reachability Analysis of Neural Feedback Loops. - Erika Bondareva, Elín Rós Hauksdóttir, Cecilia Mascolo:
Earables for Detection of Bruxism: a Feasibility Study. - Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett:
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. - Subhajit Sahu, Kishore Kothapalli, Dip Sankar Banerjee:
Effect of stepwise adjustment of Damping factor upon PageRank. - Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li:
No-Reference Image Quality Assessment by Hallucinating Pristine Features. - Stefano Cipolla, Jacek Gondzio:
Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations. - Madison Van Horn:
Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review. - Qian Shi, Xiaolei Qin, Lingyu Sun, Zitao Shen, Xiaoping Liu, Xiaocong Xu, Jiaxin Tian, Rong Liu, Andrea Marinoni:
Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images. - Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. - Francisco Luis Giambelluca, Jorge Rafael Osio, Luis A. Giambelluca, Marcelo A. Cappelletti:
Novel scorpion detection system combining computer vision and fluorescence. - Sergio Nicoli, Konstantinos Agathos, Eleni N. Chatzi:
Moment fitted cut spectral elements for explicit analysis of guided wave propagation. - Sedat Golgiyaz, Muhammed Fatih Talu, Mahmut Daskin, Cem Onat:
Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network. - Francesco Pagano, Luca Verderame, Alessio Merlo:
Understanding Fuchsia Security. - Haritha Thilakarathne, Aiden Nibali, Zhen He, Stuart Morgan:
Pose is all you need: The pose only group activity recognition system (POGARS). - Subhabrata Majumdar, Deirdre Paul, Eric Zavesky:
Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation. - Emmanuel Abbe, Pritish Kamath, Eran Malach, Colin Sandon, Nathan Srebro:
On the Power of Differentiable Learning versus PAC and SQ Learning. - Tuomo Lehtonen, Johannes Peter Wallner, Matti Järvisalo:
Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation. - Mario Alviano, Sotiris Batsakis, George Baryannis:
Modal Logic S5 Satisfiability in Answer Set Programming. - Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. - Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick:
Neural Representation Learning for Scribal Hands of Linear B. - Yuanhao Wei, Naama Ben-David, Michal Friedman, Guy E. Blelloch, Erez Petrank:
FliT: A Library for Simple and Efficient Persistent Algorithms. - Shahid Latif, Zheng Zhou, Yoon Kim, Fabian Beck, Nam Wook Kim:
Kori: Interactive Synthesis of Text and Charts in Data Documents. - Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan:
Meta Gradient Adversarial Attack. - Fereshteh Razmi, Li Xiong:
Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks. - Aman Khullar, Paramita Panjal, Rachit Pandey, Abhishek Burnwal, Prashit Raj, Ankit Akash Jha, Priyadarshi Hitesh, R. Jayanth Reddy, Himanshu, Aaditeshwar Seth:
Experiences with the Introduction of AI-based Tools for Moderation Automation of Voice-based Participatory Media Forums. - Xiaofeng Ou, Jianlin Xia:
SuperDC: Stable superfast divide-and-conquer eigenvalue decomposition. - Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu:
AutoVideo: An Automated Video Action Recognition System. - Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Neural Network Repair with Reachability Analysis. - Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli:
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. - Heng Yu, Zijing Dong, Jonathan I. Tamir, Congyu Liao, Kawin Setsompop, Berkin Bilgic:
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction. - Siddharth Reddy, Anca D. Dragan, Sergey Levine:
Pragmatic Image Compression for Human-in-the-Loop Decision-Making. - Vignav Ramesh:
End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning. - Siddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi:
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition. - Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu:
Segmentation of VHR EO Images using Unsupervised Learning. - Jake Rap, Panagiotis Meletis:
Merging Tasks for Video Panoptic Segmentation. - Kai Zheng, Cen Chen:
Contrast R-CNN for Continual Learning in Object Detection. - Ziheng Xia, Penghui Wang, Ganggang Dong, Hongwei Liu:
Adversarial Motorial Prototype Framework for Open Set Recognition. - Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr:
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation. - Jacob Kelly, Richard S. Zemel, Will Grathwohl:
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data. - Didan Deng, Liang Wu, Bertram E. Shi:
Towards Better Uncertainty: Iterative Training of Efficient Networks for Multitask Emotion Recognition. - Tao Jiang, Necati Cihan Camgöz, Richard Bowden:
Looking for the Signs: Identifying Isolated Sign Instances in Continuous Video Footage. - Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun:
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge. - Mathew Schwartz, Margarita Vinnikov, John F. Federici:
Adding Visibility to Visibility Graphs: Weighting Visibility Analysis with Attenuation Coefficients. - Abraham Noah Wu, Filip Biljecki:
GANmapper: geographical content filling. - Claudio Contardo, Luciano Costa:
On the optimal layout of a dining room in the era of COVID-19 using mathematical optimization. - Yuting Yang, Gang Mei:
Deep Transfer Learning for Identifications of Slope Surface Cracks. - Jun Li, Shimei Chen, Shangyuan Wang, Miao Lei, Xiaofang Dai, Chuangxue Liang, Kunyuan Xu, Shuxin Lin, Yuhui Li, Yuer Fan, Ting Zhong:
An optical biomimetic eyes with interested object imaging. - (Withdrawn) TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation.
- Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B. Breteler, Martin Reuter:
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI. - Fangwen Shu, Yaxu Xie, Jason R. Rambach, Alain Pagani, Didier Stricker:
Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction. - Sohyeon Hwang, Jeremy Foote:
Why do people participate in small online communities? - Alejandro Pardo, Fabian Caba Heilbron, Juan León Alcázar, Ali K. Thabet, Bernard Ghanem:
Learning to Cut by Watching Movies. - Daniel Doerr, Cédric Chauve:
Small Parsimony for Natural Genomes in the DCJ-Indel Model. - Jordan Awan, Salil P. Vadhan:
Canonical Noise Distributions and Private Hypothesis Tests. - Morgan Klaus Scheuerman, Emily Denton, Alex Hanna:
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. - Liang Wei, Luiz Fernando Capretz:
Recommender Systems for Software Project Managers. - Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng:
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification. - Ricardo Andres Diaz Rincon:
Generating Music and Generative Art from Brain activity. - Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt:
FairyTailor: A Multimodal Generative Framework for Storytelling. - Xinsheng Wang, Qicong Xie, Jihua Zhu, Lei Xie, Odette Scharenborg:
AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person. - Karol Mikula, Michal Kollár, Aneta A. Ozvat, Martin Ambroz, Lucia Cahojová, Ivan Jarolimek, Jozef Sibik, Mária Sibíková:
Natural Numerical Networks for Natura 2000 habitats classification by satellite images. - Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting:
Generative Adversarial Neural Cellular Automata. - G. Jignesh Chowdary, Suganya G, Premalatha M, Karunamurthy K:
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays. - Wencong Cheng:
Creating synthetic meteorology satellite visible light images during night based on GAN method. - Max Hahn-Klimroth, Noëla Müller:
Near optimal efficient decoding from pooled data. - Siham Yousfi, Maryem Rhanoui, Dalila Chiadmi:
Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration. - Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging. - Hamza Rasaee, Hassan Rivaz:
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images. - (Withdrawn) AASeg: Attention Aware Network for Real Time Semantic Segmentation.
- Delong Chen, Fan Liu, Zewen Li, Feng Xu:
VirtualConductor: Music-driven Conducting Video Generation System. - (Withdrawn) Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis.
- Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Attribute Guided Sparse Tensor-Based Model for Person Re-Identification. - Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction. - Bryce A. Besler, Tannis D. Kemp, Andrew S. Michalski, Nils D. Forkert, Steven K. Boyd:
Local Morphometry of Closed, Implicit Surfaces. - Md. Fazle Rabbi:
Hyperparameter Analysis for Derivative Compressive Sampling. - Wen-shan Bi, Dong Cheng, Kit Ian Kou:
A Robust Lane Detection Associated with Quaternion Hardy Filter. - Ashild Kummen, Guanlin Li, Ali Hassan, Teodora Ganeva, Qianying Lu, Robert Shaw, Chenuka Ratwatte, Yang Zou, Lu Han, Emil Almazov, Sheena Visram, Andrew Taylor, Neil J. Sebire, Lee Stott, Yvonne Rogers, Graham Roberts, Dean Mohamedally:
MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam. - Ayaan Haque, Ipsita Sutradhar, Mahziba Rahman, Mehedi Hasan, Malabika Sarker:
Convolutional Nets for Diabetic Retinopathy Screening in Bangladeshi Patients. - Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Adaptable image quality assessment using meta-reinforcement learning of task amenability. - Shruti Singh, Mayank Singh, Pawan Goyal:
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews. - Gandhimathi Padmanaban, Nathaniel Jachim, Hala Shandi, Lilit Avetisyan, Garrett Smith, Howraa Hammoud, Feng Zhou:
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers. - Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Extending LIME for Business Process Automation. - Martin Byrenheid, Stefanie Roos, Thorsten Strufe:
Topology Inference of Networks utilizing Rooted Spanning Tree Embeddings. - Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher:
Making Transformers Solve Compositional Tasks. - James P. Bailey, Craig A. Tovey:
Conditions for Stability in Strategic Matching. - Yuki Tatsunami, Masato Taki:
RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision? - Younghoon Kim, Jeffrey Heer:
Gemini2: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics. - Wenwen Gong, Yulan Zhang, Xuyun Zhang, Yucong Duan, Yawei Wang, Yifei Chen, Lianyong Qi:
Diversity-aware Web APIs Recommendation with Compatibility Guarantee. - Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh:
Rethinking Architecture Selection in Differentiable NAS. - Ryoma Miyauchi, Tsukasa Fukusato, Haoran Xie, Kazunori Miyata:
Stroke Correspondence by Labeling Closed Areas. - Shoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi, Hirokazu Kameoka:
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition. - Morgan Klaus Scheuerman, Jialun Aaron Jiang, Casey Fiesler, Jed R. Brubaker:
A Framework of Severity for Harmful Content Online. - Jun Yan, Xiaoyang Deng, Huilin Yin, Wancheng Ge:
On Procedural Adversarial Noise Attack And Defense. - Alexander Nicholson, Jin L. C. Guo:
Issue Link Label Recovery and Prediction for Open Source Software. - Yingli Ran, Zhao Zhang:
A Parallel Algorithm for Minimum Cost Submodular Cover. - Runhua Xu, Nathalie Baracaldo, James Joshi:
Privacy-Preserving Machine Learning: Methods, Challenges and Directions. - Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Knowledge Enhanced Multi-modal Fake News Detection. - Jeremy McMahan:
A D-competitive algorithm for the Multilevel Aggregation Problem with Deadlines. - Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy:
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean. - Junke Wang, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang:
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting. - Bangti Jin, Zehui Zhou, Jun Zou:
An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems. - Xiaopeng Guo, Zhijie Huang, Jie Gao, Mingyu Shang, Maojing Shu, Jun Sun:
Enhancing Knowledge Tracing via Adversarial Training. - Jun Lu:
Revisit the Fundamental Theorem of Linear Algebra. - Christopher W. Curtis, Daniel Jay Alford-Lago, Opal Issan:
Deep Learning Enhanced Dynamic Mode Decomposition. - Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication. - Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun:
Domain-Aware Universal Style Transfer. - Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. - Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. - Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao:
Lifelong Intent Detection via Multi-Strategy Rebalancing. - Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan:
Decentralized Composite Optimization with Compression. - David Behr, Ciira Wa Maina, Vukosi Marivate:
An empirical investigation into audio pipeline approaches for classifying bird species. - Praveen Kumar Bodigutla:
High Quality Related Search Query Suggestions using Deep Reinforcement Learning. - Xiaopeng Bi, Yu Chen, Xinyang Liu, Dehao Zhang, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu:
Method Towards CVPR 2021 Image Matching Challenge. - Youngsaeng Jin, Jonghwan Hong, David K. Han, Hanseok Ko:
CPNet: Cross-Parallel Network for Efficient Anomaly Detection. - Gabin An, Juyeon Yoon, Shin Yoo:
Searching for Multi-Fault Programs in Defects4J. - Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao:
Reference-based Defect Detection Network. - (Withdrawn) A Tight Analysis of Slim Heaps and Smooth Heaps.
- Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li:
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. - Guanlan Huang, Yulong Xing, Tao Xiong:
High order well-balanced asymptotic preserving finite difference WENO schemes for the shallow water equations in all Froude numbers. - Shah Zeb, Aamir Mahmood, Syed Ali Hassan, Md. Jalil Piran, Mikael Gidlund, Mohsen Guizani:
Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey. - Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu:
Method Towards CVPR 2021 SimLocMatch Challenge. - Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou:
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. - Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie:
Localized Graph Collaborative Filtering. - Ruihui Li, Xianzhi Li, Ka-Hei Hui, Chi-Wing Fu:
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation. - Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju:
Scalable Reverse Image Search Engine for NASAWorldview. - Andrei Patrascu, Paul Irofti:
Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth. - Byungju Lim, Ju-Hyung Lee, Jae-Hong Kwon, Young-Chai Ko:
Joint Association and Resource Allocation for Multi-Hop Integrated Access and Backhaul (IAB) Network. - Atefeh Rohani, Thomas Studer:
Explicit non-normal modal logic. - Chao Liu, Sisi Duan, Haibin Zhang:
MiB: Asynchronous BFT with More Replicas. - Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
Finding NeMo: Fishing in banking networks using network motifs. - Jin Huang, Ming Xiao:
Regularized Sequential Latent Variable Models with Adversarial Neural Networks. - Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Exploiting Features with Split-and-Share Module. - Fabien Gensbittel, Dana Pizarro, Jérôme Renault:
On a Competitive Selection Problem. - Benjamin Heymann, Panayotis Mertikopoulos:
A heuristic for estimating Nash equilibria in first-price auctions with correlated values. - Matthew Andres Moreno, Alexander Lalejini, Charles Ofria:
Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity. - Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, Anan Liu, Meng Wang:
TBNet: Two-Stream Boundary-aware Network for Generic Image Manipulation Localization. - Fabian Clemens Weigend, David C. Clarke, Oliver Obst, Jason Siegler:
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise. - Ting Pan, Jizhong Duan, Junfeng Wang, Yu Liu:
Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization. - Naama Ben-David, Guy E. Blelloch:
Fast and Fair Lock-Free Locks. - Jiqing Zhang, Kai Zhao, Bo Dong, Yingkai Fu, Yuxin Wang, Xin Yang, Baocai Yin:
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking. - Stavros Tripakis, Karen Rudie:
Decentralized Observation of Discrete-Event Systems: At Least One Can Tell. - Chao Wang, Li Wan, Tifan Xiong, Yuanlong Xie, Shuting Wang, Jianwan Ding, Liping Chen:
Hierarchical Structural Analysis Method for Complex Equation-oriented Models. - Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang:
A Survey on Deep Reinforcement Learning for Data Processing and Analytics. - Zan Gao, Hongwei Wei, Weili Guan, Weizhi Nie, Meng Liu, Meng Wang:
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification. - Rashmi Bakshi:
Hand Pose Classification Based on Neural Networks. - Kenji Nishimiya, Yuta Imai:
Serverless Architecture for Service Robot Management System. - Boseung Jeong, Jicheol Park, Suha Kwak:
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. - Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding:
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. - Philipp Foehn, Angel Romero, Davide Scaramuzza:
Time-Optimal Planning for Quadrotor Waypoint Flight. - Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents. - Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang:
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation. - Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu:
TrUMAn: Trope Understanding in Movies and Animations. - Andreas Maier, Harald Köstler, Marco Heisig, Patrick Krauss, Seung Hee Yang:
Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future. - Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey:
Epigenetic opportunities for Evolutionary Computation. - Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li:
Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. - Saeid K. Dehkordi, Mari Kobayashi, Giuseppe Caire:
Adaptive Beam Tracking based on Recurrent Neural Networks for mmWave Channels. - Daniel Yago, Juan Carlos Cante, Oriol Lloberas-Valls, Javier Oliver:
Topology optimization of thermal problems in a nonsmooth variational setting: closed-form optimality criteria. - Hyejun Jeong, Joonyong Hwang, Tai-Myung Chung:
ABC-FL: Anomalous and Benign client Classification in Federated Learning. - Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Dean P. Foster, Sham M. Kakade:
The Benefits of Implicit Regularization from SGD in Least Squares Problems. - Changhyun Park, Heung-Il Suk:
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis. - Xin Wang, Yasheng Wang, Pingyi Zhou, Fei Mi, Meng Xiao, Yadao Wang, Li Li, Xiao Liu, Hao Wu, Jin Liu, Xin Jiang:
CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model. - Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks. - Michal Bizzarri, Miroslav Lávicka, Jan Vrsek:
Symmetries of discrete curves and point clouds via trigonometric interpolation. - Kashif Mehmood, Katina Kralevska, David Palma:
Intent-driven Autonomous Network and Service Management in Future Networks: A Structured Literature Review. - Yuanwei Liu, Shuowen Zhang, Xidong Mu, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen:
Evolution of NOMA Toward Next Generation Multiple Access (NGMA). - Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu:
Deep Metric Learning for Open World Semantic Segmentation. - Nello Blaser, Morten Brun, Lars M. Salbu, Erlend Raa Vågset:
The Parameterized Complexity of Finding Minimum Bounded Chains. - Monika Henzinger, Alexander Noe:
Random Rank-Based, Hierarchical or Trivial: Which Dynamic Graph Algorithm Performs Best in Practice? - Alexander Noe:
Algorithm Engineering for Cut Problems. - Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Robust and Dexterous Dual-arm Tele-Cooperation using Fractal Impedance Control. - Robert Buhren, Hans Niklas Jacob, Thilo Krachenfels, Jean-Pierre Seifert:
One Glitch to Rule Them All: Fault Injection Attacks Against AMD's Secure Encrypted Virtualization. - Lukas Nagel, Oliver Karras:
Keep Your Stakeholders Engaged: Interactive Vision Videos in Requirements Engineering. - Mattia Lecci, Matteo Drago, Andrea Zanella, Michele Zorzi:
An Open Framework for Analyzing and Modeling XR Network Traffic. - Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns:
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. - Fabian Göttsch, Noboru Osawa, Takeo Ohseki, Kosuke Yamazaki, Giuseppe Caire:
The Impact of Subspace-Based Pilot Decontamination in User-Centric Scalable Cell-Free Wireless Networks. - NareshKumar Gurulingan, Elahe Arani, Bahram Zonooz:
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks. - Fabio Bonassi, Riccardo Scattolini:
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems. - Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. - Nader H. Bshouty, Catherine A. Haddad-Zaknoon:
On Learning and Testing Decision Tree. - Mikkel Abrahamsen, Bartosz Walczak:
Distinguishing classes of intersection graphs of homothets or similarities of two convex disks. - Markus Anders, Pascal Schweitzer:
Parallel Computation of Combinatorial Symmetries. - Koen J. A. Scheres, Michelle S. Chong, Romain Postoyan, W. P. Maurice H. Heemels:
Event-Triggered State Estimation with Multiple Noisy Sensor Nodes. - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. - Florian Sieck, Sebastian Berndt, Jan Wichelmann, Thomas Eisenbarth:
Util: : Lookup: Exploiting key decoding in cryptographic libraries. - Peiming Li, Lifeng Xie, Jianping Yao, Jie Xu:
Cellular-Connected UAV with Adaptive Air-to-Ground Interference Cancellation and Trajectory Optimization. - Kemiao Huang, Qi Hao:
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving. - Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan S. Kankanhalli:
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition. - Tobias Winkler, Maximilian Weininger:
Stochastic Games with Disjunctions of Multiple Objectives (Technical Report). - Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. - Muhammad Aakash Khaliq, Hammad Munawar, Qasim Ali:
Haptic Situational Awareness Using Continuous Vibrotactile Sensations. - Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
White blood cell subtype detection and classification. - Adeep Hande, Ruba Priyadharshini, Anbukkarasi Sampath, Kingston Pal Thamburaj, Prabakaran Chandran, Bharathi Raja Chakravarthi:
Hope Speech detection in under-resourced Kannada language. - Juliano Pinto, Yuxuan Xia, Lennart Svensson, Henk Wymeersch:
An Uncertainty-Aware Performance Measure for Multi-Object Tracking. - Paul S. Brown, Vania Dimitrova, Glen Hart, Anthony G. Cohn, Paulo Moura:
Refactoring the Whitby Intelligent Tutoring System for Clean Architecture. - George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Learning to Maximize Influence. - Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn:
Learning Canonical 3D Object Representation for Fine-Grained Recognition. - Mai Hirata, Manabu Tsukada, Keisuke Okumura, Yasumasa Tamura, Hideya Ochiai, Xavier Défago:
Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving. - Martin Monperrus, Matias Martinez, He Ye, Fernanda Madeiral, Thomas Durieux, Zhongxing Yu:
Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size. - Jingtao Tang, Chun Sun, Xinyu Zhang:
MSTC*: Multi-robot Coverage Path Planning under Physical Constraints. - Özlem Tugfe Demir, Emil Björnson, Luca Sanguinetti:
Channel Modeling and Channel Estimation for Holographic Massive MIMO with Planar Arrays. - Fran Casino, Tom K. Dasaklis, Georgios P. Spathoulas, Marios Anagnostopoulos, Amrita Ghosal, István Böröcz, Agusti Solanas, Mauro Conti, Constantinos Patsakis:
A cross-domain qualitative meta-analysis of digital forensics: Research trends, challenges, and emerging topics. - Youngwoo Yoon, Keunwoo Park, Minsu Jang, Jaehong Kim, Geehyuk Lee:
SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents. - Tongjie Wang, Yaroslav Golubev, Oleg Smirnov, Jiawei Li, Timofey Bryksin, Iftekhar Ahmed:
PyNose: A Test Smell Detector For Python. - Henrique Ramos, Mateus Fonseca, Lesandro Ponciano:
Modeling and Evaluating Personas with Software Explainability Requirements. - Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang:
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network. - Carlos Diego Nascimento Damasceno, Daniel Strüber:
Quality Guidelines for Research Artifacts in Model-Driven Engineering. - Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam:
Hierarchical Latent Relation Modeling for Collaborative Metric Learning. - Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti:
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. - Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Differentiable Subset Pruning of Transformer Heads. - Yichi Zhang, Jesper Kers, Clarissa A. Cassol, Joris J. Roelofs, Najia Idrees, Alik Farber, Samir Haroon, Kevin P. Daly, Suvranu Ganguli, Vipul C. Chitalia, Vijaya B. Kolachalama:
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations. - Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. - Zhen Wang, Kaihua Xi, Aijie Cheng, Hai-Xiang Lin, André C. M. Ran, Jan H. van Schuppen, Chenghui Zhang:
Synchronization of Power Systems under Stochastic Disturbances. - Arne Seeliger, Gerrit Merz, Christian Holz, Stefan Feuerriegel:
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. - Yubo Xie, Pearl Pu:
How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies. - Nikolaos I. Miridakis, Emmanouel T. Michailidis, Angelos Michalas, Emmanouil Skondras, Dimitrios J. Vergados, Dimitrios D. Vergados:
Performance of Uplink NOMA with User Mobility Under Short Packet Transmission. - Jonathan C. Roberts, Joseph W. Mearman, Peter W. S. Butcher, Hayder Mahdi Al-Maneea, Panagiotis D. Ritsos:
3D Visualisations Should Not be Displayed Alone - Encouraging a Need for Multivocality in Visualisation. - Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen Yang, Ji Liu:
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems. - Andrew Koh, Fuzhao Xue, Eng Siong Chng:
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization. - Olly Styles, Tanaya Guha, Victor Sanchez:
Multi-Camera Trajectory Forecasting with Trajectory Tensors. - Michael Hagenow, Bolun Zhang, Bilge Mutlu, Michael Gleicher, Michael R. Zinn:
Recognizing Orientation Slip in Human Demonstrations. - Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro:
BIDCD - Bosch Industrial Depth Completion Dataset. - Bryan Eikema, Wilker Aziz:
Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation. - Daniel Scheliga, Patrick Mäder, Marco Seeland:
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. - Gonçalo Simões de Almeida, Gonçalo Faria Abreu:
Crowdsourced Databases and Sui Generis Rights. - Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui:
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. - Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan:
Correlation Clustering Reconstruction in Semi-Adversarial Models. - Yin Tat Lee, Santosh S. Vempala:
Tutorial on the Robust Interior Point Method. - Yuan Zhang, Yuanqing Xia, Yufeng Zhan:
Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: an LP-based Method. - Wenbo Zhu, Hoang Duong Tuan, Eryk Dutkiewicz, Yong Fang, Lajos Hanzo:
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks. - Ben A. Rainbow, Qianhui Men, Hubert P. H. Shum:
Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction. - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin:
Multi-Factors Aware Dual-Attentional Knowledge Tracing. - Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata:
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. - Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. - Songlin Yang, Kewei Tu:
Headed Span-Based Projective Dependency Parsing. - Jean-Claude Belfiore, Daniel Bennequin, Xavier Giraud:
Logical Information Cells I. - Yun Shen, Pierre-Antoine Vervier, Gianluca Stringhini:
A Large-scale Temporal Measurement of Android Malicious Apps: Persistence, Migration, and Lessons Learned. - Haoyu Zhao, Zhize Li, Peter Richtárik:
FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning. - Dmitry Yu. Maximov:
Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers. - Asangi Jayatilaka, Nalin Asanka Gamagedara Arachchilage, Muhammad Ali Babar:
Falling for Phishing: An Empirical Investigation into People's Email Response Behaviors. - Roland Kaminski, Torsten Schaub:
On the Foundations of Grounding in Answer Set Programming. - Arnav Kartikeya:
Examining correlation between trust and transparency with explainable artificial intelligence. - Ehab M. Ibrahim, Linyan Mei, Marian Verhelst:
Survey and Benchmarking of Precision-Scalable MAC Arrays for Embedded DNN Processing. - Bin Fan, Yuchao Dai, Mingyi He:
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction. - Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos:
Secure k-Anonymization over Encrypted Databases. - Zhe Zhou, Robert Dickerson, Benjamin Delaware, Suresh Jagannathan:
Data-Driven Abductive Inference of Library Specifications. - Lahari Karadla, Weizi Li:
Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston. - Travis Near:
Improving MATLAB's isprime performance without arbitrary-precision arithmetic. - Jiacheng Gu, Zhibin Li:
Learning Autonomous Mobility Using Real Demonstration Data. - Alexander Ostermann, Fangyan Yao:
A fully discrete low-regularity integrator for the nonlinear Schrödinger equation. - Daniel Widdowson, Vitaliy Kurlin:
Pointwise distance distributions of periodic sets. - Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras:
Meta-repository of screening mammography classifiers. - Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding:
Binary Complex Neural Network Acceleration on FPGA. - Noriyuki Kojima, Alane Suhr, Yoav Artzi:
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior. - Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari:
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes. - Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. - Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi:
COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter. - Arpitha A. Deshpande, Aadrika A, Rajeshwari K, Preetha S:
Impact of Dietary Habits and Opinionated Lifestyle during COVID-19 Pandemic : A Case Study on Engineering Students. - Ao Qu, Ismael Lemhadri:
A Graph Approach to Simulate Twitter Activities with Hawkes Processes. - Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian:
Self-supervised Consensus Representation Learning for Attributed Graph. - Chao Duan, Guna R. Bharati, Pratyush Chakraborty, Bo Chen, Takashi Nishikawa, Adilson E. Motter:
Practical Challenges in Real-time Demand Response. - Andreas Madsen, Siva Reddy, Sarath Chandar:
Post-hoc Interpretability for Neural NLP: A Survey. - Andrei V. Konstantinov, Lev V. Utkin:
Attention-like feature explanation for tabular data. - Dmitrii Dobriborsci, Pavel Osinenko:
An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control. - Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson:
Matching Algorithms for Blood Donation. - Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee:
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. - Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud:
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. - Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt:
Retiring Adult: New Datasets for Fair Machine Learning. - Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang:
Differentiable Surface Rendering via Non-Differentiable Sampling. - Artur Jordão, Hélio Pedrini:
On the Effect of Pruning on Adversarial Robustness. - Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption. - Mahdi Pourmirzaei, Gholam Ali Montazer, Farzaneh Esmaili:
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation? - Bolei Zhou:
Interpreting Generative Adversarial Networks for Interactive Image Generation. - Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Mehrotra, Amedeo D'Ascanio:
Contrained Generalization For Data Anonymization - A Systematic Search Based Approach. - Batuhan Koyuncu:
Analysis of ODE2VAE with Examples. - Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma:
Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention. - Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. - S. S. Shishvan, S. Assadpour-asl, Emilio Martínez-Pañeda:
A mechanism-based gradient damage model for metallic fracture. - ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation. - Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. - Taniya Shafique, Hina Tabassum, Ekram Hossain:
Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks. - Yury Kashnitsky, Vaishnavi Kandala, Egbert van Wezenbeek, IJsbrand Jan Aalbersberg, Catriona Fennell, Georgios Tsatsaronis:
How near-duplicate detection improves editors' and authors' publishing experience. - Sune Darkner, Jose D. Tascon, François Lauze:
First Order Locally Orderless Registration. - Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav S. Sukhatme:
Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. - Hamid Soleimani:
Hardware realisation of nonlinear dynamical systems for and from biology. - Maoyuan Sun, Courtney Bolton, Yuanxin Wang, Jian Zhao, Tianyi Li:
Towards A Systematic Discussion of Missingness in Visual Analytics. - Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. - Muge Fidan, Esra Erdem:
Knowledge-Based Stable Roommates Problem: A Real-World Application. - João M. M. C. Cota, Alberto H. F. Laender, Raquel O. Prates:
Science Tree: A Platform for Exploring the Brazilian Academic Genealogy. - Amit Verma, Pratibha Purohit, Timothy Thornton, Kamal Lamsal:
An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements. - Joe Suzuki, Yusuke Inaoka:
Causal Order Identification to Address Confounding: Binary Variables. - Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. - Sören Bartels, Frank Meyer, Christian Palus:
Simulating Self-Avoiding Isometric Plate Bending. - Paula Kayongo, Glenn Sun, Jason D. Hartline, Jessica Hullman:
Visualization Equilibrium. - Alex Nasser:
An Image-based Generator Architecture for Synthetic Image Refinement. - Geoffrey Goodell:
Decentralised Trust for the Digital Economy. - Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. - Arnav Bhakta, Carolyn Byrne:
Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques. - Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum:
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). - Kai Yuan, Da Kuang:
Deep Pairwise Learning To Rank For Search Autocomplete. - Ryan McKenna, Gerome Miklau, Daniel Sheldon:
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. - Kazuki Koga, Kazuhiro Takemoto:
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks. - Zainab Masood, Rashina Hoda, Kelly Blincoe:
What Drives and Sustains Self-Assignment in Agile Teams. - Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu:
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. - Yong Li, Yufei Sun, Zhen Cui, Shiguang Shan, Jian Yang:
Learning Fair Face Representation With Progressive Cross Transformer. - Marcelo K. Albertini, Felipe A. Louza:
Practical evaluation of Lyndon factors via alphabet reordering. - Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi:
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. - Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. - Oliver Knill:
Shannon capacity, Chess, DNA and Umbrellas. - Ashley O'Neill, Atif Ahmad, Sean B. Maynard:
Cybersecurity Incident Response in Organisations: A Meta-level Framework for Scenario-based Training. - Huanyu Zhang:
Statistical Inference in the Differential Privacy Model. - Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa:
A Transformer-based Math Language Model for Handwritten Math Expression Recognition. - Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann:
Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation. - Yuzhong Wu, Tan Lee:
Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification. - Yikai Wang, Fuchun Sun, Ming Lu, Anbang Yao:
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion. - Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng:
Prototype Completion for Few-Shot Learning. - Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li:
Elastic Tactile Simulation Towards Tactile-Visual Perception. - Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu:
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? - Wen-ming Zhang, Zhi-wei Wang, Dan-dian Feng, Zhao Liu:
Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm. - Dawen Xu, Zhuangyu Feng, Cheng Liu, Li Li, Ying Wang, Yuanqing Cheng, Huawei Li, Xiaowei Li:
Taming Process Variations in CNFET for Efficient Last Level Cache Design. - Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. - Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu:
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder. - Pilhyeon Lee, Hyeran Byun:
Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization. - Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks. - Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer:
DEMix Layers: Disentangling Domains for Modular Language Modeling. - Robert Kessl:
Parallel algorithms for mining of frequent itemsets. - Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei:
Semi-Supervised Domain Generalizable Person Re-Identification. - Wentao Cheng, Sheng Yang, Maomin Zhou, Ziyuan Liu, Yiming Chen, Mingyang Li:
Road Mapping and Localization using Sparse Semantic Visual Features. - Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. - Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko:
Rethinking Coarse-to-Fine Approach in Single Image Deblurring. - Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni:
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. - Steven T. Dougherty, Joe Gildea, Adrian Korban, Adam Michael Roberts:
Group LCD and Group Reversible LCD Codes. - Boyu Diao, Chao Li, Qi Wang, Zhulin An, Yongjun Xu:
A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks. - Qiuping Jiang, Zhentao Liu, Shiqi Wang, Feng Shao, Weisi Lin:
Towards Top-Down Just Noticeable Difference Estimation of Natural Images. - Falk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider:
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach. - Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong:
NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications. - Hui Song, Chen Liu, Mahdi Jalili, Xinghuo Yu, Peter McTaggart:
Multi-Objective Optimization of Electric Vehicle Charging Schedule with Time of Use Tariff. - Yan Shao, Rongpeng Li, Bing Hu, Yingxiao Wu, Zhifeng Zhao, Honggang Zhang:
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network. - Chin-Jui Chang, Chun-Yi Lee, Yi-Hsuan Yang:
Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding. - Xindi Wang:
Technical Report for A Service-Fair UAV-NOMA System for Large-scale IoT scenarios. - Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui:
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. - Anh Tran, Tao Yang, Qingyao Ai:
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. - Zitao Chen, Pritam Dash, Karthik Pattabiraman:
Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack. - Xiaoqi Zhao, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu:
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation. - Aixi Zhang, Yue Liao, Si Liu, Miao Lu, Yongliang Wang, Chen Gao, Xiaobo Li:
Mining the Benefits of Two-stage and One-stage HOI Detection. - Young Ah Choi, Kyung Ho Park, Eunji Park, Huy Kang Kim:
Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks. - Hasam Khalid, Shahroz Tariq, Simon S. Woo:
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset. - Kaiyi Chen, Qingbin Wang, Yutao Ma:
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning. - Xiaoqi Zhao, Lihe Zhang, Huchuan Lu:
Automatic Polyp Segmentation via Multi-scale Subtraction Network. - Oliver Karras, Eduard C. Groen, Javed Ali Khan, Sören Auer:
Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research. - Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Cooperative Learning for Noisy Supervision. - Aidan M. Swope, Xander H. Rudelis, Kyle T. Story:
Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach. - Zijian Zhang, Chenxin Zhang, Qin Liu, Hongming Zhu, Jiangfeng Li:
PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis. - Zhaoming Qin, Huaying Zhang, Yuzhou Zhao, Hong Xie, Junwei Cao:
Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning? - Wei Liu, Ziqing Xie, Wenfan Yi:
Normalized Wolfe-Powell-type Local Minimax Method for Finding Multiple Unstable Solutions of Nonlinear Elliptic PDEs. - Nedialko S. Nedialkov, John D. Pryce, Lena Scholz:
An Energy-based, always Index ≤1 and Structurally Amenable Electrical Circuit Model. - Muhammad Mohebujjaman, Hongwei Wang, Leo G. Rebholz, Md. Abdullah Al Mahbub:
An efficient algorithm for simulating ensembles of parameterized MHD flow problems. - Serena Elisa Ponta, Wolfram Fischer, Henrik Plate, Antonino Sabetta:
The Used, the Bloated, and the Vulnerable: Reducing the Attack Surface of an Industrial Application. - Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska:
PLEX: Towards Practical Learned Indexing. - Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei:
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. - Zijian Zhang, Chenxi Zhang, Qinpei Zhao, Jiangfeng Li:
Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference. - Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang:
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. - Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng:
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. - Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier:
Overview of the TREC 2020 Fair Ranking Track. - Joseph Alexander Brown, Luiz Jonata Pires de Araujo, Alexandr Grichshenko:
Snakes AI Competition 2020 and 2021 Report. - Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert:
Zero-Shot Domain Adaptation with a Physics Prior. - Idoia Cortes Garcia, Herbert Egger, Vsevolod Shashkov:
MONA - A magnetic oriented nodal analysis for electric circuits. - Zain Alabedeen Ali, Konstantin S. Yakovlev:
Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints. - Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. - Dipto Barman, Owen Conlan:
Exploring the Links between Personality Traits and Suscep;bility to Disinformation. - Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. - Donggeon Lee, Seongho Choi, Youwon Jang, Byoung-Tak Zhang:
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering. - Louis Gallagher, John B. McDonald:
Efficient Surfel Fusion Using Normalised Information Distance. - Selin Eyupoglu, Muge Fidan, Yavuz Gulesen, Ilayda Begum Izci, Berkan Teber, Baturay Yilmaz, Ahmet Alkan, Esra Erdem:
Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods. - Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider:
ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study. - Guangwei Gao, Shuonan Wu:
Auxiliary Space Preconditioners for C0 Finite Element Approximation of Hamilton-Jacobi-Bellman Equations with Cordes Coefficients. - Tal Boger, Steven B. Most, Steven L. Franconeri:
Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen. - Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. - Eduardo Gallo, Antonio Barrientos:
Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles. - A. N. Madhavanunni, S. S. Arya, Renjith Kumar D:
Microcontroller Based Load Monitoring System. - Drishti Maharjan, Peter Zaspel:
Towards data-driven filters in Paraview. - Geert Heyman, Rafael Huysegems, Pascal Justen, Tom Van Cutsem:
Natural Language-guided Programming. - Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao:
LargeEA: Aligning Entities for Large-scale Knowledge Graphs. - Dong Li, Chaoyu Quan, Tao Tang:
Energy dissipation of Strang splitting for Allen-Cahn. - Jordan B. Chipka:
Estimation and Navigation Methods with Limited Information for Autonomous Urban Driving. - Andrea Rausa, Myles Morelli, Alberto Guardone:
A novel method for robust and efficient prediction of ice shedding from rotorcraft blades. - Linglong Dai:
Nonexistence of a Universal Algorithm for Traveling Salesman Problems in Constructive Mathematics. - Michael J. Maher:
Approximating Defeasible Logics to Improve Scalability. - Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. - Max Mathys, Roland Schmid, Jakub Sliwinski, Roger Wattenhofer:
A Limitlessly Scalable Transaction System. - Philipp Trunschke:
Convergence bounds for nonlinear least squares and applications to tensor recovery. - Ertan Kazikli, Sinan Gezici, Serdar Yüksel:
Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions. - Steven Sachio, Max Mowbray, Maria M. Papathanasiou, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Integrating process design and control using reinforcement learning. - Henning Fernau, Stefan Hoffmann, Michael Wehar:
Finite Automata Intersection Non-Emptiness: Parameterized Complexity Revisited. - Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. - Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Public Key Reinforced Blockchain Platform for Fog-IoT Network System Administration. - Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. - Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown:
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning. - Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. - Sreenath P. Kyathanahally, Thomas Hardeman, Ewa Merz, Thea Kozakiewicz, Marta Reyes, Peter Isles, Francesco Pomati, Marco Baity-Jesi:
Deep Learning Classification of Lake Zooplankton. - Zander Majercik, Thomas Müller, Alexander Keller, Derek Nowrouzezahrai, Morgan McGuire:
Dynamic Diffuse Global Illumination Resampling. - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Explanatory Power of Decision Trees. - Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. - Georgi Karadzhov, Tom Stafford, Andreas Vlachos:
DeliData: A dataset for deliberation in multi-party problem solving. - Zhiwei Zhang, Hanyu Peng, Hongsheng Li:
Instance-weighted Central Similarity for Multi-label Image Retrieval. - Wilco van Leeuwen, George Fletcher, Nikolay Yakovets:
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs. - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness. - Jan Portisch, Heiko Paulheim:
Putting RDF2vec in Order. - Manos N. Kamarianakis, Nick Lydatakis, Antonis Protopsaltis, John Petropoulos, Michail Tamiolakis, Paul Zikas, George Papagiannakis:
"Deep Cut": An all-in-one Geometric Algorithm for Unconstrained Cut, Tear and Drill of Soft-bodies in Mobile VR. - Haukur Barri Símonarson, Vésteinn Snæbjarnarson:
Icelandic Parallel Abstracts Corpus. - Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Few-Shot Segmentation with Global and Local Contrastive Learning. - Tyler M. Paine, Louis L. Whitcomb:
Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics. - Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. - Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. - Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu:
ConvNets vs. Transformers: Whose Visual Representations are More Transferable? - Sohail Ahmed Khan, Hang Dai:
Video Transformer for Deepfake Detection with Incremental Learning. - Davide Rigoni, Luciano Serafini, Alessandro Sperduti:
A Better Loss for Visual-Textual Grounding. - Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li:
Towards Interpretable Deep Networks for Monocular Depth Estimation. - Jack Blandin, Ian A. Kash:
Fairness Through Counterfactual Utilities. - Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion. - Qingyao Ai, Lakshmi Narayanan Ramasamy:
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. - Seth Frey, Jules Hedges, Joshua Z. Tan, Philipp Zahn:
Composing games into complex institutions. - Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
Machine Learning Model Drift Detection Via Weak Data Slices. - Erika Ábrahám, James H. Davenport, Matthew England, Gereon Kremer:
Proving UNSAT in SMT: The Case of Quantifier Free Non-Linear Real Arithmetic. - Goran R. Petrovic, Jouni Mattila:
Mathematical modelling and virtual decomposition control of heavy-duty parallel-serial hydraulic manipulators. - Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders:
Two is a crowd: tracking relations in videos. - Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. - Nic Roberts, Andrew Adamatzky:
Mining logical circuits in fungi. - Shangtong Zhang, Shimon Whiteson:
Truncated Emphatic Temporal Difference Methods for Prediction and Control. - Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-identification via Attention Pyramid. - Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy:
The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study. - Xin Zhou, Yang Li:
Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning. - Vid Stropnik, Vuk Duranovic, Marusa Orazem:
Effect of Key Match Events on Football Passmaps. - Monica Dessole, Marco Dell'Orto, Fabio Marcuzzi:
The Lawson-Hanson Algorithm with Deviation Maximization: Finite Convergence and Sparse Recovery. - Steven G. Johnson:
Notes on Perfectly Matched Layers (PMLs). - Carlos Gershenson:
Intelligence as information processing: brains, swarms, and computers. - Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz:
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. - Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin:
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. - Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent M. Chérubin:
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. - Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert:
Voxel-level Importance Maps for Interpretable Brain Age Estimation. - Jiahao Chen, Victor Storchan:
Seven challenges for harmonizing explainability requirements. - Jiahao Chen:
Ontology drift is a challenge for explainable data governance. - Damian Arellanes:
Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces. - Filip Ilievski, Pedro A. Szekely, Gleb Satyukov, Amandeep Singh:
User-friendly Comparison of Similarity Algorithms on Wikidata. - Zaina Shaik, Filip Ilievski, Fred Morstatter:
Analyzing Race and Country of Citizenship Bias in Wikidata. - Sushma Kumari:
NoFake at CheckThat!2021: Fake News Detection Using BERT. - Harsh Sharma, Jeff Borggaard, Mayuresh Patil, Craig A. Woolsey:
Performance Assessment of Energy-preserving, Adaptive Time-Step Variational Integrators. - Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan:
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. - Wolfgang Faber, Michael Morak, Lukás Chrpa:
Determining ActionReversibility in STRIPS Using Answer Set and Epistemic Logic Programming. - Zi Wang, Jie Yang:
An Ear Canal Deformation Based User Authentication Using Ear Wearable Devices. - Alexandr Andoni, Daniel Beaglehole:
Learning to Hash Robustly, with Guarantees. - Jason P. Bell, Jeffrey O. Shallit:
Automatic Sequences of Rank Two. - Abdelrahman Elsharawy:
Friddy multiagent price stabilization model. - Jingfeng Wu, Vladimir Braverman, Lin F. Yang:
Gap-Dependent Unsupervised Exploration for Reinforcement Learning. - Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo:
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. - Nassim Messaadi, Abdelkader Amroun:
Speed Control of DC Motor Using Fuzzy PID Controller. - Sharad Dixit, Varish Mulwad, Abhinav Saxena:
Extracting Semantics from Maintenance Records. - Hyungyu Lee, Myeongwoo Jeong, Chanyoung Kim, Hyungtae Lim, Changgue Park, Sungwon Hwang, Hyun Myung:
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning. - Monique Meuschke, Laura A. Garrison, Noeska N. Smit, Stefan Bruckner, Kai Lawonn, Bernhard Preim:
Towards Narrative Medical Visualization. - Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras:
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery. - Mitchell Olsthoorn, Pouria Derakhshanfar, Annibale Panichella:
Hybrid Multi-level Crossover for Unit Test Case Generation. - Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. - Vladimir Gurvich, Mariya Naumova:
Polynomial algorithms computing two lexicographically safe Nash equilibria in finite two-person games with tight game forms given by oracles. - Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
On The Compensation Between Magnitude and Phase in Speech Separation. - Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman:
SAFE: Secure Aggregation with Failover and Encryption. - Pedro H. T. Gama, Hugo N. Oliveira, Jefersson A. dos Santos:
Learning to Segment Medical Images from Few-Shot Sparse Labels. - Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji:
Automatic Gaze Analysis: A Survey of Deep Learning based Approaches. - Libo Huang, Ziyin Qu, Xun Tan, Xinxin Zhang, Dominik L. Michels, Chenfanfu Jiang:
Ships, Splashes, and Waves on a Vast Ocean. - Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini:
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery. - Raychell Velez, Diana Calderon, Lauren Carey, Christopher Aime, Carolynne Hultquist, Greg Yetman, Andrew Kruczkiewicz, Yuri Gorokhovich, Robert S. Chen:
Advancing Data for Street-level Flood Vulnerability: Extraction of Variables from Google Street View in Quito, Ecuador. - Anahita Samadi, Debapriya Banerjee, Shirin Nilizadeh:
Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms. - Ananta Nair:
A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition. - Szymon Grabowski, Dominik Köppl:
Space-Efficient Huffman Codes Revisited. - Lei Hu, Guyue Li, Hongyi Luo, Aiqun Hu:
On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation. - Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Attention-driven Graph Clustering Network. - Peihan Zhang, Gang Chen, Wei Dong:
Agile Formation Control of Drone Flocking Enhanced with Active Vision-based Relative Localization. - Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu:
Distilling Holistic Knowledge with Graph Neural Networks. - Wenxiao Chen, Xiaohui Nie, Mingliang Li, Dan Pei:
DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models. - Kamil Jezek:
Ethereum Data Structures. - Li Wang, Rongzhi Gu, Nuo Chen, Yuexian Zou:
Text Anchor Based Metric Learning for Small-footprint Keyword Spotting. - Hongbin Fang, Zihan He, Jian Xu:
An Earthworm-Inspired Multi-Mode Underwater Locomotion Robot: Design, Modeling, and Experiments. - Noah Burrell, Grant Schoenebeck:
Measurement Integrity in Peer Prediction: A Peer Assessment Case Study. - Shubham Singh, Bhuvni Shah, Ian A. Kash:
Fair Decision-Making for Food Inspections. - Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang:
Silhouette based View embeddings for Gait Recognition under Multiple Views. - Ayush Dalmia, Suzanna Sia:
Clustering with UMAP: Why and How Connectivity Matters. - Tae Ha Park, Juergen Bosse, Simone D'Amico:
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases. - Soomin Woo, Alexander Skabardonis:
Flow-Aware Platoon Formation of Connected Automated Vehicles. - Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Efficient Local Planning with Linear Function Approximation. - Paula Santos:
Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases. - Rongkai Shi, Nan Zhu, Hai-Ning Liang, Shengdong Zhao:
Exploring Head-based Mode-Switching in Virtual Reality. - Hongtao Wu, Xin Meng, Sipu Ruan, Gregory S. Chirikjian:
Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Objects via Robot Imagination. - Luyu Gao, Jamie Callan:
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval. - Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha:
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing. - (Withdrawn) Development of Simulation-based Lane Change Control System for Autonomous Vehicles.
- Wencan Cheng, Jae Hyun Park, Jong Hwan Ko:
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. - Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. - Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Networks for Recommendations. - Mikael Ovaska, Joni Kultanen, Teemu Autto, Joonas Uusnäkki, Antti Kariluoto, Joonas Himmanen, Mikko Virtaneva, Pasi Kaitila, Pekka Abrahamsson:
Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report. - Roopak Sinha, Sandeep Patil, Luís Gomes, Valeriy Vyatkin:
A Survey of Static Formal Methods for Building Dependable Industrial Automation Systems. - Hyungtae Lim, Minho Oh, Hyun Myung:
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor. - Joshua D. Rego, Huaijin G. Chen, Shuai Li, Jinwei Gu, Suren Jayasuriya:
Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography. - Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang:
Vision-Language Transformer and Query Generation for Referring Segmentation. - Christian Mehl, Volker Mehrmann, Michal Wojtylak:
Matrix pencils with coefficients that have positive semidefinite Hermitian part. - Jianxiong Guo, Xingjian Ding, Weijia Jia:
Combinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy. - Mengmeng Tian, Yuxin Chen, Yuan Liu, Zehui Xiong, Cyril Leung, Chunyan Miao:
A Contract Theory based Incentive Mechanism for Federated Learning. - Maryanthe Malliaris, Shay Moran:
Agnostic Online Learning and Excellent Sets. - Inkyu Shin, Dong-Jin Kim, Jae-Won Cho, Sanghyun Woo, KwanYong Park, In So Kweon:
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation. - Ibrahim Alfadli, Fahad Ghabban, Omair Ameerbakhsh, Amer Nizar AbuAli, Arafat Mohammed Rashad Al-Dhaqm, Mahmoud Ahmad Al-Khasawneh:
CIPM: Common Identification Process Model for Database Forensics Field. - Gosse Minnema:
Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language. - Muhammed Ahmed Saleh, Siti Hajar Othman, Arafat Al-Dhaqm, Mahmoud Ahmad Al-Khasawneh:
Common Investigation Process Model for Internet of Things Forensics. - Liao Wang, Ziyu Wang, Pei Lin, Yuheng Jiang, Xin Suo, Minye Wu, Lan Xu, Jingyi Yu:
iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering. - Fahad M. Ghabban, Ibrahim Alfadli, Omair Ameerbakhsh, Amer Nizar AbuAli, Arafat Al-Dhaqm, Mahmoud Ahmad Al-Khasawneh:
Comparative Analysis of Network Forensic Tools and Network Forensics Processes. - Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. - Kim-Manuel Klein:
On the Fine-Grained Complexity of the Unbounded SubsetSum and the Frobenius Problem. - Omair Ameerbakhsh, Fahad M. Ghabban, Ibrahim Alfadli, Amer Nizar AbuAli, Arafat Al-Dhaqm, Mahmoud Ahmad Al-Khasawneh:
Digital Forensics Domain and Metamodeling Development Approaches. - Johannes Börner, Florian Steinke:
Measuring LTI System Resilience against Adversarial Disturbances based on Efficient Generalized Eigenvalue Computations. - Thorben Werner:
Reinforcement Learning Approach to Active Learning for Image Classification. - Lukas Nagel, Jianwei Shi, Melanie Busch:
Viewing Vision Videos Online: Opportunities for Distributed Stakeholders. - Konstantinos Makantasis:
AffRankNet+: Ranking Affect Using Privileged Information. - Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multi-Modal MRI Reconstruction with Spatial Alignment Network. - Andrea Barth, Robin Merkle:
Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient. - Meng Cao, Can Zhang, Long Chen, Mike Zheng Shou, Yuexian Zou:
Deep Motion Prior for Weakly-Supervised Temporal Action Localization. - Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li:
Cascade Bagging for Accuracy Prediction with Few Training Samples. - Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee:
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. - Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. - Yipeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran:
Conditional Sequential Slate Optimization. - Samuel Ackerman, Orna Raz, Marcel Zalmanovici:
FreaAI: Automated extraction of data slices to test machine learning models. - Christoph Stanik, Tim Puhlfürß, Anne Mahler, Phillip Brenya Sasu, Wikhart Reip, Walid Maalej:
Lessons Learned from Customizing and Applying ACTA to Design a Novel Device for Emergency Medical Care. - Mojtaba Shahin, Waqar Hussain, Arif Nurwidyantoro, Harsha Perera, Rifat Ara Shams, John C. Grundy, Jon Whittle:
Operationalizing Human Values in Software Engineering: A Survey. - Zhoueng Ye:
A comparative study of split advection algorithms on Moment-of-Fluid (MOF) method for incompressible flow. - Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell:
DIODE: Dilatable Incremental Object Detection. - Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian A. Scherer:
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud. - Yuke Yang:
Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization. - Youngsaeng Jin, David K. Han, Hanseok Ko:
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments. - Tao Chen, Rina Su, Yongjuan Zhang, Xin Yin, Rui Zhu:
Ontology Service Center: a datahub for ontology application. - Jinpeng Chen, Haiyang Li, Fan Zhang, Senzhang Wang, Kaimin Wei:
Session-based Recommendation with Heterogeneous Graph Neural Network. - Steffen Dereich, Sebastian Kassing:
On minimal representations of shallow ReLU networks. - Craig Thomson, Ehud Reiter:
Generation Challenges: Results of the Accuracy Evaluation Shared Task. - Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller:
DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. - Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar:
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought. - Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo:
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing. - Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen:
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. - Kapil Ahuja, Bernhard Endtmayer, Marc C. Steinbach, Thomas Wick:
Multigoal-oriented error estimation and mesh adaptivity for fluid-structure interaction. - Zhi Gu, Zhengchun Zhou, Avik Ranjan Adhikary, Yanghe Feng, Pingzhi Fan:
New Constructions of Golay Complementary Pair/Array with Large Zero Correlation Zone. - Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia:
Conditional Temporal Variational AutoEncoder for Action Video Prediction. - Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. - Md. Mohsin Sarker Raihan, Md. Mohi Uddin Khan, Laboni Akter, Abdullah Bin Shams:
Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning. - Sophie Mildenberger, Michael Quellmalz:
Approximation properties of the double Fourier sphere method. - Mehrdad Abdi, Henrique Rocha, Serge Demeyer, Alexandre Bergel:
Small-Amp: Test Amplification in a Dynamically Typed Language. - Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. - Srikanth Chandar, Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi:
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates. - Likai Liu, Zechun Hu, Asad Mujeeb:
Automatic Generation Control Considering Uncertainties of the Key Parameters in the Frequency Response Model. - Likai Liu, Zechun Hu, Nikhil Pathak, Haocheng Luo:
An Extreme Learning Machine-Based System Frequency Nadir Constraint Linearization Method. - Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Learning Visual Affordance Grounding from Demonstration Videos. - Marharyta Aleksandrova, Oleg Chertov:
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers. - Bartosz Bednarczyk:
Lutz's Spoiler Technique Revisited: A Unified Approach to Worst-Case Optimal Entailment of Unions of Conjunctive Queries in Locally-Forward Description Logics. - Hyowoon Seo, Jihong Park, Mehdi Bennis, Mérouane Debbah:
Semantics-Native Communication with Contextual Reasoning. - Omer Goldman, David Guriel, Reut Tsarfaty:
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performance. - Youxuan Ma, Zongze Ren, Shugong Xu:
RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform. - Ciprian-Octavian Truica, Elena Apostol, Jérôme Darmont, Ira Assent:
TextBenDS: a generic Textual data Benchmark for Distributed Systems. - Xiaohan Zhu, Zhen Cui, Tong Zhang, Yong Li, Jian Yang:
Going Deeper in Frequency Convolutional Neural Network: A Theoretical Perspective. - Benjamin Danglot, Jean-Rémy Falleri, Romain Rouvoy:
Can We Spot Energy Regressions using Developers Tests? - Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes:
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation. - Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev:
Correlation Clustering with Asymmetric Classification Errors. - Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev:
Local Correlation Clustering with Asymmetric Classification Errors. - Kuluhan Binici, Nam Trung Pham, Tulika Mitra, Karianto Leman:
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data. - Xingxing Xie, Gong Cheng, Jiabao Wang, Xiwen Yao, Junwei Han:
Oriented R-CNN for Object Detection. - Elizabeth Gilmour, Noah Plotkin, Leslie N. Smith:
An Approach to Partial Observability in Games: Learning to Both Act and Observe. - Pieter Wolfert, Jeffrey M. Girard, Taras Kucherenko, Tony Belpaeme:
To Rate or Not To Rate: Investigating Evaluation Methods for Generated Co-Speech Gestures. - Yang Li, Linbo Li, Daiheng Ni:
Exploration of lane-changing duration for heavy vehicles and passenger cars: a survival analysis approach. - Yang Li, Linbo Li, Daiheng Ni, Wenxuang Wang:
Hierarchical automatic lane-changing motion planning: from self-optimum to local-optimum. - Shu Ishida, João F. Henriques:
Towards real-world navigation with deep differentiable planners. - Priyanka Golia, Friedrich Slivovsky, Subhajit Roy, Kuldeep S. Meel:
Engineering an Efficient Boolean Functional Synthesis Engine. - Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. - Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming:
MT-ORL: Multi-Task Occlusion Relationship Learning. - Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen:
Deep Microlocal Reconstruction for Limited-Angle Tomography. - Saurabh Dixit, Soumyendu Raha:
Prediction of dynamical systems using geometric constraints imposed by observations. - Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh:
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. - Likai Liu, Zechun Hu, Jian Ning, Yilin Wen:
Data-Driven Scheduling of Electric Boiler with Thermal Storage for Providing Power Balancing Service. - Patrik Schmuck, Thomas Ziegler, Marco Karrer, Jonathan Perraudin, Margarita Chli:
COVINS: Visual-Inertial SLAM for Centralized Collaboration. - Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, Gustav Eje Henter:
Multimodal analysis of the predictability of hand-gesture properties. - Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek:
Dynamic Attention-based Communication-Efficient Federated Learning. - Jules Vidal, Julien Tierny:
Fast Approximation of Persistence Diagrams with Guarantees. - Matthew J. Picklo, Jennifer K. Ryan:
Enhanced Multi-Resolution Analysis for Multi-Dimensional Data Utilizing Line Filtering Techniques. - Antyanta Bangunharcana, Jae-Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim:
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation. - Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang', Johannes Hoffart:
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations. - HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin:
Learning from Matured Dumb Teacher for Fine Generalization. - Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer:
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. - Hamed Ahmadi, Avishek Nag, Zaheer Khan, Kamran Sayrafian, Susanto Rahadrja:
Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G. - Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani:
Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. - Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Luczynski, Sean Katagiri, Chandler Lemoine, Joshua Roe, Dylan Stephens, Shida Xu, Yaniel Carreno, Èric Pairet, Corina Barbalata, Yvan R. Petillot, Sen Wang:
From market-ready ROVs to low-cost AUVs. - Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue:
Progressive Coordinate Transforms for Monocular 3D Object Detection. - Sam Jacob Jacob, Markus Mrosek, Carsten Othmer, Harald Köstler:
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes. - Jennifer Hu, Roger Levy, Noga Zaslavsky:
Scalable pragmatic communication via self-supervision. - Jimmy Yin, Mac Ren:
On Liquidity Mining for Uniswap v3. - Jeffrey Hawke, Haibo E, Vijay Badrinarayanan, Alex Kendall:
Reimagining an autonomous vehicle. - Farhana Faruqe, Ryan Watkins, Larry R. Medsker:
Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model. - Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. - Momo Langenstein:
Communication-free and Parallel Simulation of Neutral Biodiversity Models. - Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou:
PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management. - Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu:
TF-Blender: Temporal Feature Blender for Video Object Detection. - Nils Leif Fischer, Harald P. Pfeiffer:
A discontinuous Galerkin scheme for a large class of elliptic equations. - Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux:
A functional mirror ascent view of policy gradient methods with function approximation. - Fabrizio Di Francesco, Gabriel A. Sanca, Cynthia P. Quinteros:
Spatial emerging texture in simulated memristive arrays. - Abdelatif Hafid, Abdelhakim Senhaji Hafid, Adil Senhaji:
Sharding-Based Proof-of-Stake Blockchain Protocols: Security Analysis. - Runsong Zhu, Yuan Liu, Zhen Dong, Tengping Jiang, Yuan Wang, Wenping Wang, Bisheng Yang:
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds. - Songlin Yang, Kewei Tu:
Combining (second-order) graph-based and headed span-based projective dependency parsing. - Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi:
Logit Attenuating Weight Normalization. - Austin R. Coffman, Ana Busic, Prabir Barooah:
A unified framework for coordination of thermostatically controlled loads. - Nils Kürbis:
Normalisation for Bilateral Classical Logic with some Philosophical Remarks, and a Note on it. - Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann:
Automating the Removal of Obsolete TODO Comments. - Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha:
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations. - Francesca Ratti, Maurizio Magarini, Domitilla Del Vecchio:
What Is the Trait d'Union between Retroactivity and Molecular Communication Performance Limits? - Reynaldo Ortiz, Alexey V. Egorov, Sabine Mondié:
Necessary and sufficient stability conditions for integral delay systems. - Or Castel, Ori Ram, Avia Efrat, Omer Levy:
How Optimal is Greedy Decoding for Extractive Question Answering? - (Withdrawn) m-RevNet: Deep Reversible Neural Networks with Momentum.
- Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely:
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. - Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li:
Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training. - Armando Alves Neto, Víctor Costa da Silva Campos, Douglas G. Macharet:
A Semi-Lagrangian Approach for the Minimal Exposure Path Problem in Wireless Sensor Networks. - Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal:
Syntax Matters! Syntax-Controlled in Text Style Transfer. - Willie McClinton, Andrew Levy, George Konidaris:
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. - Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum:
Distributional Depth-Based Estimation of Object Articulation Models. - Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
An Early Look at the Gettr Social Network. - Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. - Hichem Semira, Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu:
Multi-user Joint Maximum-Likelihood Detection in Uplink NOMA-IoT Networks: Removing the Error Floor. - Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari:
Unconditional Scene Graph Generation. - Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The paradox of the compositionality of natural language: a neural machine translation case study. - Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk:
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations. - Yunzhong Hou, Liang Zheng:
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). - Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. - Pasquale Salza, Christoph Schwizer, Jian Gu, Harald C. Gall:
On the Effectiveness of Transfer Learning for Code Search. - Chieh Lo, Hongliang Yu, Xin Yin, Krutika Shetty, Changchen He, Kathy Hu, Justin M. Platz, Adam Ilardi, Sriganesh Madhvanath:
Page-level Optimization of e-Commerce Item Recommendations. - Chris Rockwell, David F. Fouhey, Justin Johnson:
PixelSynth: Generating a 3D-Consistent Experience from a Single Image. - Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Improving Image Recognition with Extremely Low FLOPs. - Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu:
Mobile-Former: Bridging MobileNet and Transformer. - Chao Duan, Pratyush Chakraborty, Takashi Nishikawa, Adilson E. Motter:
Hierarchical Power Flow Control in Smart Grids: Enhancing Rotor Angle and Frequency Stability with Demand-Side Flexibility. - Apurva Badithela, Richard M. Murray:
Synthesis of Static Test Environments for Observing Sequence-like Behaviors in Autonomous Systems. - Vikraman Arvind, Venkatesan Guruswami:
CNF Satisfiability in a Subspace and Related Problems. - Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. - Hannah Rose Kirk, Bertram Vidgen, Paul Röttger, Tristan Thrush, Scott Hale:
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate. - Nadya Bliss, Elizabeth Bradley, Claire Monteleoni:
Computing Research for the Climate Crisis. - Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Daksh Patel, Prasenjit Majumder, Johannes Schäfer:
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages. - Daniel Floryan, Michael D. Graham:
Charts and atlases for nonlinear data-driven models of dynamics on manifolds. - Lidea K. Shahidi, Leslie M. Collins, Boyla O. Mainsah:
Parameter Tuning of Time-Frequency Masking Algorithms for Reverberant Artifact Removal within the Cochlear Implant Stimulus. - Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang:
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. - Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. - Mohamed Aturban, Michael L. Nelson, Michele C. Weigle:
Where Did the Web Archive Go? - Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang:
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. - Geoffrey Goodell, Hazem Danny Al-Nakib:
The Development of Central Bank Digital Currency in China: An Analysis. - Abhishek Paudel, Roshan Dhakal, Sakshat Bhattarai:
Room Classification on Floor Plan Graphs using Graph Neural Networks. - (Withdrawn) Deep adversarial attack on target detection systems.
- David Flad, Aniruddhe Pradhan, Scott Murman:
Arbitrary Order Solutions for the Eikonal Equation using a Discontinuous Galerkin Method. - Abhishek Paudel:
Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem. - Jasmine Singh, Viranga Perera, Alejandra J. Magana, Brittany Newell, Jin Wei-Kocsis, Ying Ying Seah, Greg J. Strimel, Charles Xie:
Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design. - Huilian Sophie Qiu, Daniel Klug:
Motivations and Expectations for Virtual Gift-Giving in Douyin Live Streams. - Yu'an Chen, Guangda Chen, Lifan Pan, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji:
DRQN-based 3D Obstacle Avoidance with a Limited Field of View. - Anh Tran:
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers. - Alexander Golovnev, Tom Gur, Igor Shinkar:
Derandomization of Cell Sampling. - Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans:
Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization. - Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu, Yaoliang Yu:
An Operator Splitting View of Federated Learning. - Mersedeh Sadeghi, Verena Klös, Andreas Vogelsang:
Cases for Explainable Software Systems: Characteristics and Examples. - Allyson Hineman, Mario Blaum:
An efficient implementation of the Shamir secret sharing scheme. - Nestan Tsiskaridze, Maxwell Strange, Makai Mann, Kavya Sreedhar, Qiaoyi Liu, Mark Horowitz, Clark W. Barrett:
Automating System Configuration. - Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang:
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. - Fazle Rabbi, Nishat Tasnim Niloy, Nadia Nahar, Md. Nurul Ahad Tawhid:
SysMap: A Lightweight Software Visualization Tool to Analyze the Software Evolution of a System. - Yusuke Hara, Takanori Sakai, André Romano Alho, Moshe E. Ben-Akiva:
Screenline-based Two-step Calibration and its application to an agent-based urban freight simulator. - Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang:
MUSIQ: Multi-scale Image Quality Transformer. - Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey C. Fox:
HPTMT Parallel Operators for High Performance Data Science & Data Engineering. - LingFei Dai, Boyu Diao, Chao Li, Yongjun Xu:
A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration. - Jie Gong, Jianhang Zhu, Xiang Chen, Xiao Ma:
Sleep, Sense or Transmit: Energy-Age Tradeoff for Status Update with Two-Thresholds Optimal Policy. - Fengming Zhou, Xuelei Shi, Jie Chen, Tianhang Tang, Yiguang Liu:
Non-imaging real-time detection and tracking of fast-moving objects. - Minghui Huang, Dong Wang, Shuang Liu, Meizhen Ding:
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback. - Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Arpit Bansal, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein:
Datasets for Studying Generalization from Easy to Hard Examples. - Minghui Huang, Wei Peng, Dong Wang:
TPRM: A Topic-based Personalized Ranking Model for Web Search. - Alrubyli, Yazeed:
Natural Deduction Calculus for First-Order Logic. - Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin:
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. - Anjana Arunkumar, Shashank Ginjpalli, Chris Bryan:
Bayesian Modelling of Alluvial Diagram Complexity. - Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. - Zhihong Zeng, Mohammad Dehghani Soltani, Cheng Chen, Majid Safari, Harald Haas:
Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular network. - Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. - Karl Chahine, Nanyang Ye, Hyeji Kim:
DeepIC: Coding for Interference Channels via Deep Learning. - Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang:
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. - Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North:
Narrative Sensemaking: Strategies for Narrative Maps Construction. - Yicheng Pan, Feng Zheng, Bingchen Fan:
An Information-theoretic Perspective of Hierarchical Clustering. - Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. - Yongqi Zhang, Quanming Yao:
Knowledge Graph Reasoning with Relational Directed Graph. - Woojin Lee, Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya:
Package Delivery Using Autonomous Drones in Skyways. - Yike Xu, Mark S. Andersland:
Worst-Case Services and State-Based Scheduling. - Prithiviraj Damodaran, Prabhkaran Singh, Josemon Achankuju:
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble. - Xiaopeng Yan, Riquan Chen, Litong Feng, Jingkang Yang, Huabin Zheng, Wayne Zhang:
Progressive Representative Labeling for Deep Semi-Supervised Learning. - Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang:
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion. - Cheng Zhang, Haocheng Wan, Shengqiang Liu, Xinyi Shen, Zizhao Wu:
Point-Voxel Transformer: An Efficient Approach To 3D Deep Learning. - John Henawy, Zhengguo Li, Wei-Yun Yau, Gerald Seet, Kong-Wah Wan:
Piecewise Linear De-skewing for LiDAR Inertial Odometry. - Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making via Interpretability Enhancement. - Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. - Shouguo Yang, Long Cheng, Yicheng Zeng, Zhe Lang, Hongsong Zhu, Zhiqiang Shi:
Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection. - Conglong Li, Minjia Zhang, Yuxiong He:
Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training. - Zhihong Zeng, Mohammad Dehghani Soltani, Majid Safari, Harald Haas:
A VCSEL Array Transmission System with Novel Beam Activation Mechanisms. - Xuqian Ren, Yifan Liu, Chunlei Song:
A Generative Adversarial Framework for Optimizing Image Matting and Harmonization Simultaneously. - Ruben Tolosana, Rubén Vera-Rodríguez, Carlos Gonzalez-Garcia, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia, Juan-Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Santiago Rengifo, Miguel Caruana, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moisés Díaz Cabrera, Miguel Ángel Ferrer, Marta Gomez-Barrero, Ilya A. Hodashinsky, Konstantin S. Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szücs, Bence Kovári, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin:
SVC-onGoing: Signature Verification Competition. - Hao Yuan, Guoming Tang, Deke Guo, Kui Wu, Xun Shao, Keping Yu, Wei Wei:
BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond. - Bart Bogaerts, Maxime Jakubowski, Jan Van den Bussche:
SHACL: A Description Logic in Disguise. - Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh:
FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning. - Jia-Li Zhang, Zhi-Wei Fang, Hai-Wei Sun:
Robust fast method for variable-order time-fractional diffusion equations without regularity assumptions. - Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone:
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images. - Qiaoyun Wu, Jun Wang, Jing Liang, Xiaoxi Gong, Dinesh Manocha:
Hierarchical Image-Goal Navigation in Real Crowded Scenarios. - Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. - Jiaying Li, Sissi Xiaoxiao Wu, Qiang Li, Anna Scaglione:
A Parallel Distributed Algorithm for the Power SVD Method. - Dongyu Rao, Xiao-Jun Wu, Hui Li, Josef Kittler, Tianyang Xu:
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation. - Yuki Noguchi, Takayuki Yamada:
Topology optimization for acoustic structures considering viscous and thermal boundary layers using a sequential linearized Navier-Stokes model. - Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles:
Effective semantic segmentation in Cataract Surgery: What matters most? - Guangji Chen, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng, Lajos Hanzo:
IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading? - Sheridan Gomes, Adel Nadjaran Toosi, Barrett Ens:
Digital Twin of a Cloud Data Centre: OpenStack Cluster Visualisation. - Teresa Gomez-Diaz, Tomás Recio:
Open comments on the Task Force SIRS report: Scholarly Infrastructures for Research Software (EOSC Executive Board, EOSCArchitecture). - Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer:
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices. - Zhongyi Han, Haoliang Sun, Yilong Yin:
Learning Transferable Parameters for Unsupervised Domain Adaptation. - Julian Risch, Timo Möller, Julian Gutsch, Malte Pietsch:
Semantic Answer Similarity for Evaluating Question Answering Models. - Otto Bittner, Thilo Krachenfels, Andreas Galauner, Jean-Pierre Seifert:
The Forgotten Threat of Voltage Glitching: A Case Study on Nvidia Tegra X2 SoCs. - Teresa Gomez-Diaz, Tomás Recio:
On the evaluation of research software: the CDUR procedure. - Giuseppe Scarpa, Matteo Ciotola:
Full-resolution quality assessment for pansharpening. - Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov:
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments. - Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang:
Conditional DETR for Fast Training Convergence. - Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard, Paisarn Muneesawang, Ivan Lee:
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search. - Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli, Paolo Tieri, Davide Vergni:
Adaptive Positive-Unlabelled Learning via Markov Diffusion. - Christian Berghoff, Pavol Bielik, Matthias Neu, Petar Tsankov, Arndt von Twickel:
Robustness testing of AI systems: A case study for traffic sign recognition. - Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji:
Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model. - Berkan Demirel, Ramazan Gokberk Cinbis:
Detection and Captioning with Unseen Object Classes. - Zhiwei Jia, Shugong Xu, Shiyi Mu, Yue Tao, Shan Cao, Zhiyong Chen:
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition. - Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. - David Roca Cazorla, Daniel Yago, Juan Carlos Cante, Oriol Lloberas-Valls, Javier Oliver:
Computational design of locally resonant acoustic metamaterials. - René Brandborg Sørensen, Henrik Krogh Møller, Per Koch:
5G NB-IoT via low density LEO Constellations. - Federico Nesti, Giulio Rossolini, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo:
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks. - Jiafei Duan, Samson Yu Bai Jian, Cheston Tan:
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. - Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick, Chayan Sarkar:
Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions. - Quang Huy Bui, Jae Kyu Suhr:
CNN-based Two-Stage Parking Slot Detection Using Region-Specific Multi-Scale Feature Extraction. - Maren Scheel:
Nonlinear modal testing of damped structures: Velocity feedback vs. phase resonance. - Praneeth Chakravarthula, Zhan Zhang, Okan Tarhan Tursun, Piotr Didyk, Qi Sun, Henry Fuchs:
Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays. - Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden:
A Comparison of Latent Semantic Analysis and Correspondence Analysis for Text Mining. - Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad:
An Intelligent Recommendation-cum-Reminder System. - Rui Cao, Ziqing Fan, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Disentangling Hate in Online Memes. - Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. - Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu:
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. - Rohan Parasrampuria, Ayan Ghosh, Suchandra Dutta, Dhrubasish Sarkar:
Recommending Insurance products by using Users' Sentiments. - Zihan Chen, Marina Sokolova:
Sentiment Analysis of the COVID-related r/Depression Posts. - Stanislaw Gizinski, Michal Kuzba, Bartosz Pielinski, Julian Sienkiewicz, Stanislaw Laniewski, Przemyslaw Biecek:
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence. - Jiahao Chen, Victor Storchan, Eren Kurshan:
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice. - Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. - Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. - Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. - Emre Gönültas, Sueda Taner, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Christoph Studer:
Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO. - Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, Renaud Marlet:
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloud. - Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi:
Online Fairness-Aware Learning with Imbalanced Data Streams. - Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei:
Jasmine: A New Active Learning Approach to Combat Cybercrime. - Miriam Schlöter, Martin Skutella, Khai Van Tran:
A Faster Algorithm for Quickest Transshipments via an Extended Discrete Newton Method. - Haomin Chen, T. Y. Alvin Liu, Catalina Gomez, Zelia Correa, Mathias Unberath:
An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images. - Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan:
Optical Adversarial Attack. - Danielle Caled, Paula Carvalho, Mário J. Silva:
MIND - Mainstream and Independent News Documents Corpus. - Vasileios Lefkopoulos, Maryam Kamgarpour:
Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety Guarantees. - David Lenz:
Construction of 4D Simplex Space-Time Meshes for Local Bisection Schemes. - Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim:
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. - Syful Islam, Raula Gaikovina Kula, Christoph Treude, Bodin Chinthanet, Takashi Ishio, Kenichi Matsumoto:
Contrasting Third-Party Package Management User Experience. - Divya Shyam Singh, Atul Agrawal, D. Roy Mahapatra:
A reduced-order modeling framework for simulating signatures of faults in a bladed disk. - Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, Angela P. Schoellig:
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning. - Graham Manuell:
A simple lower bound for ARRIVAL. - Youpeng Yu, Ryan C. Grammenos:
Towards artificially intelligent recycling Improving image processing for waste classification. - Amith Manoharan, P. B. Sujit:
NMPC-Based Cooperative Strategy For A Target Pair To Lure Two Attackers Into Collision. - Anastasia Dietrich, Frithjof Gressmann, Douglas Orr, Ivan Chelombiev, Daniel Justus, Carlo Luschi:
Towards Structured Dynamic Sparse Pre-Training of BERT. - Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. - Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. - Feng Dong, Jinchao Zhu, Xian Fang, Qiu Yu:
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection. - Cetin Savkli, Catherine Schwartz:
Random Subspace Mixture Models for Interpretable Anomaly Detection. - Florian Obermüller, Lena Bloch, Luisa Greifenstein, Ute Heuer, Gordon Fraser:
Code Perfumes: Reporting Good Code to Encourage Learners. - Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavas, Anne Lauscher, Simone Paolo Ponzetto:
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. - Sandra Alves, Miguel Ramos:
An ML-style record calculus with extensible records. 1-17 - Chao-Jung Liu, Matej Ulicny, Michael Manzke, Rozenn Dahyot:
Context Aware Object Geotagging. - Chao-Jung Liu, Vladimir A. Krylov, Rozenn Dahyot:
3D point cloud segmentation using GIS. - Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo:
Spatio-Temporal Split Learning. - Nima Sadri, Bohan Zhang, Bihan Liu:
MeetSum: Transforming Meeting Transcript Summarization using Transformers! - Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
Accelerating Approximate Aggregation Queries with Expensive Predicates. - Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
Downlink Resource Allocation in Multiuser Cell-free MIMO Networks with User-centric Clustering. - Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. - Hamid Soleimani, Emmanuel M. Drakakis:
Neuromorphic Processing: A Unifying Tutorial. - Nicholas Krichevsky, Matthew St Louis, Tian Guo:
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. - Shibhansh Dohare, A. Rupam Mahmood, Richard S. Sutton:
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness. - Greyson Gerhard-Young, Raviteja Anantha, Srinivas Chappidi, Björn Hoffmeister:
Low-Resource Adaptation of Open-Domain Generative Chatbots. - Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang:
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. - Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, Wenqiang Zhang:
Dual Path Learning for Domain Adaptation of Semantic Segmentation. - Mireille Boutin, Evzenie Coupkova:
Asymptotic optimality and minimal complexity of classification by random projection. - Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. - Yong Zheng, David (Xuejun) Wang:
Multi-Objective Recommendations: A Tutorial. - Cindy Xiong, Vidya Setlur, Benjamin Bach, Kylie Lin, Eunyee Koh, Steven Franconeri:
Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways. - Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah:
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. - Jan Glaubitz, Jonah A. Reeger:
Towards stability of radial basis function based cubature formulas. - Arut Prakash Kaleeswaran, Arne Nordmann, Thomas Vogel, Lars Grunske:
A User-Study Protocol for Evaluation of Formal Verification Results and their Explanation. - Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee:
Detecting OODs as datapoints with High Uncertainty. - Chaoxiang Ma, Jiaming Zhang, Kailun Yang, Alina Roitberg, Rainer Stiefelhagen:
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange. - Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. - Guangqing Chi, Junjun Yin, M. Luke Smith, Yosef Bodovski:
Global Tweet Mentions of COVID-19. - Ekleen Kaur, Gokul Alex:
Time Transitive Functions for Zero Knowledge Proofs. - Yang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade:
Cross-modal Spectrum Transformation Network For Acoustic Scene classification. - Jorge Fandinno, François Laferrière, Javier Romero, Torsten Schaub, Tran Cao Son:
Planning with Incomplete Information in Quantified Answer Set Programming. - Rafael G. L. D'Oliveira, Alejandro Cohen, John Robinson, Thomas Stahlbuhk, Muriel Médard:
Post-Quantum Security for Ultra-Reliable Low-Latency Heterogeneous Networks. - Andreas Rumsch, Christoph Imboden, Alberto Calatroni, Martin Camenzind, Edith Birrer, Andrew Paice:
SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services. - Kaan Gökcesu, Hakan Gökcesu:
Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles. - Suyun Liu, Luís Nunes Vicente:
The Sharpe predictor for fairness in machine learning. - Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? - Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams, Oscar Pizarro, Blair Thornton:
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation. - Runzhe Wan, Lin Ge, Rui Song:
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. - Yu Rong, Takaaki Shiratori, Hanbyul Joo:
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration. - Eric Bradford, Lars Imsland, Marcus Reble, Ehecatl Antonio del Rio-Chanona:
Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. - Daniel Berjón, Carlos Cuevas, Narciso García:
Soccer line mark segmentation with stochastic watershed transform. - Brandon Mac, Alan R. Moody, April Khademi:
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation. - Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha:
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring. - Rifatul Islam, Kevin Desai, John Quarles:
VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network. - Blake Buchanan, Tony Dear, Scott David Kelly, Matthew J. Travers, Howie Choset:
The Geometric Structure of Externally Actuated Planar Locomoting Systems in Ambient Media. - Long Yuan:
Global space-time Trefftz DG schemes for the time-dependent linear nonhomogeneous and anisotropic wave equation. - Xiaobo Jiang, Kun He, Jiajun He, Guangyu Yan:
A New Entity Extraction Method Based on Machine Reading Comprehension. - Paul Parsons, Prakash Shukla, Chorong Park:
Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners. - Qinyi Zhu, Yiou Xiao:
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting. - Sheng Yue, Ju Ren, Jiang Xin, Deyu Zhang, Yaoxue Zhang, Weihua Zhuang:
Efficient Federated Meta-Learning over Multi-Access Wireless Networks. - Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui:
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds. - Dhruv Bhatia, Kara Fagerstrom, Maximillian Watson:
Probability Distributions for Elliptic Curves in the CGL Hash Function. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph with Meta Concepts for Video Captioning. - Jinwoo Ahn, Seungjin Lee, Jinhoon Lee, Youngwoo Ko, Junghee Lee, Youngjae Kim:
A Policy-based Versioning SSD with Intel SGX. - Chaochao Zhou, Thomas Cha, Yun Peng, Guoan Li:
Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images. - Khay Boon Hong:
Optimal Approximation with Sparse Neural Networks and Applications. - Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King:
Modeling Scale-free Graphs for Knowledge-aware Recommendation. - Hendrik Ranocha, Michael Schlottke-Lakemper, Andrew R. Winters, Erik Faulhaber, Jesse Chan, Gregor J. Gassner:
Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing. - Gourav Kumar, Soumyadip Maity, Ruddra Dev Roychoudhury, Brojeshwar Bhowmick:
Sharing Cognition: Human Gesture and Natural Language Grounding Based Planning and Navigation for Indoor Robots. - Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong:
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. - Taisuke Sato, Ryosuke Kojima:
MatSat: a matrix-based differentiable SAT solver. - Masaki Noda, Yuki Noguchi, Takayuki Yamada:
Extended level set method: a multiphase representation with perfect symmetric property, and its application to multi material topology optimization. - Wing Tat Leung, Yating Wang:
Multirate partially explicit scheme for multiscale flow problems. - Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen:
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks. - Ayush Kumar, Pratik Kumar:
Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study. - Hieu H. Pham, Dung V. Do, Ha Q. Nguyen:
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans. - Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang:
DQN Control Solution for KDD Cup 2021 City Brain Challenge. - Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi:
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. - Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. - Jakob Schöffer, Niklas Kühl:
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. - Stian Soiland-Reyes, Peter Sefton, Mercè Crosas, Leyla Jael Castro, Frederik Coppens, José María Fernández, Daniel Garijo, Björn A. Grüning, Marco La Rosa, Simone Leo, Eoghan Ó Carragáin, Marc Portier, Ana Trisovic, RO-Crate Community, Paul Groth, Carole A. Goble:
Packaging research artefacts with RO-Crate. - Fan Wu, Yunhui Long, Ce Zhang, Bo Li:
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. - Xiaojie Zhu, Erman Ayday, Roman Vitenberg:
Privacy-Preserving Identification of Target Patients from Outsourced Patient Data. - Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. - Xin Jin, Zhonglan Li, Ke Liu, Dongqing Zou, Xiaodong Li, Xingfan Zhu, Ziyin Zhou, Qilong Sun, Qingyu Liu:
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies. - Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi:
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI. - Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai:
Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. - Linjiang Huang, Liang Wang, Hongsheng Li:
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization. - Remo Sasso, Matthia Sabatelli, Marco A. Wiering:
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning. - Mehdi Rasti, Shiva Kazemi Taskou, Hina Tabassum, Ekram Hossain:
Evolution Toward 6G Wireless Networks: A Resource Management Perspective. - Zuoguang Wang, Jiaqian Peng, Hongsong Zhu, Limin Sun:
SEIGuard: An Authentication-simplified and Deceptive Scheme to Protect Server-side Social Engineering Information Against Brute-force Attacks. - Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. - Yiting Chen, Miao Li:
Data Generation for Learning to Grasp in a Bin-picking Scenario. - Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning. - Donghyeon Baek, Youngmin Oh, Bumsub Ham:
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. - Rashmi Bakshi:
Feature Identification and Matching for Hand Hygiene Pose. - Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin:
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. - Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim:
PICCOLO: Point Cloud-Centric Omnidirectional Localization. - Benjamin K. Tapley:
Numerical integration of ODEs while preserving all polynomial first integrals. - Reza Azad, Lucas Rouhier, Julien Cohen-Adad:
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling. - Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza:
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. - Hardik Manocha, Akash Srivastava, Chetan Verma, Ratan Gupta, Bhavya Bansal:
Security Assessment Rating Framework for Enterprises using MITRE ATT&CK Matrix. - João Barbosa, Mário Florido, Vítor Santos Costa:
Data Type Inference for Logic Programming. - Slavche Pejoski, Zoran Hadzi-Velkov, Trung Q. Duong, Caijun Zhong:
Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption. - Mengkun She, David Nakath, Yifan Song, Kevin Köser:
Refractive Geometry for Underwater Domes. - Nathan S. Usevitch, Trevor Halsted, Zachary M. Hammond, Allison M. Okamura, Mac Schwager:
Distributed Control of Truss Robots Using Consensus Alternating Direction Method of Multipliers. - Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa:
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation. - Slavche Pejoski, Zoran Hadzi-Velkov, Robert Schober:
Optimal Power and Time Allocation for WPCNs with Piece-wise Linear EH Model. - Adam Mate, Arthur K. Barnes, Steven K. Morley, Jacob A. Friz-Trillo, Eduardo Cotilla Sanchez, Sean P. Blake:
Relaxation Based Modeling of GMD Induced Cascading Failures in PowerModelsGMD.jl. - Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu:
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning. - Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu:
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models. - Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos:
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. - Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann, John E. Ortega, Sheetal Shatam, Theodorus Fransen:
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages. - Qi Zhao, Binghao Liu, Shuchang Lyu, Xu Wang, Yifan Yang:
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. - Willem Conradie, Valentin Goranko, Peter Jipsen:
Algorithmic correspondence for relevance logics, bunched implication logics, and relation algebras: the algorithm PEARL and its implementation (Technical Report). - Aman Kataria, Smarajit Ghosh, Vinod Karar:
Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking. - Simon Bultmann, Jan Quenzel, Sven Behnke:
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles. - Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot:
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions. - Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg:
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. - Miguel A. Saavedra-Ruiz, Ana Mario Pinto-Vargas, Victor A. Romero-Cano:
Monocular visual autonomous landing system for quadcopter drones using software in the loop. - Arindam Chaudhuri:
B-Splines. - Taeyeong Choi, Grzegorz Cielniak:
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. - Joshua Bowren:
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications. - Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. - Dina Tantawy, Mohamed Zahran, Amr Wassal:
A Survey on GAN Acceleration Using Memory Compression Technique. - Baiying Dong, Zhilin Li:
A simple third order compact finite element method for 1D BVP. - Christopher Sun, Jai Sharma, Milind Maiti:
Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks. - Nanda K. Unnikrishnan, Keshab K. Parhi:
LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling. - Zhilin Li, Juan Ruiz-Álvarez:
Convergence study of IB methods for Stokes equations with non-periodic boundary conditions. - Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason D. Williams, Alex Acero:
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants. - Yuelong Li, Or Bar-Shira, Vishal Monga, Yonina C. Eldar:
Deep Algorithm Unrolling for Biomedical Imaging. - Gen Li, Zhen Yang, Yiyong Pan, Jianxiao Ma:
Analysing and Modelling of Discretionary Lane Change Duration Considering Driver Heterogeneity. - Soojong Kim, Kwanho Kim:
The Information Ecosystem of Online Groups with Anti- and Pro-vaccine Views on Facebook. - Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, Eduard H. Hovy, Varun Gangal:
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation. - Skylar X. Wei, Matthew R. Burkhardt, Joel Burdick:
Nonlinear Controllability Assessment of Aerial Manipulator Systems using Lagrangian Reduction. - Saikat Chakraborty, Baishakhi Ray:
On Multi-Modal Learning of Editing Source Code. - Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li:
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning. - Hongyi Xu, Fengqi Liu, Qianyu Zhou, Jinkun Hao, Zhijie Cao, Zhengyang Feng, Lizhuang Ma:
Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling. - Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices. - Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng:
Topology-Guided Sampling for Fast and Accurate Community Detection. - Shunpeng Yang, Hua Chen, Zhen Fu, Wei Zhang:
Force-feedback based Whole-body Stabilizer for Position-Controlled Humanoid Robots. - Jeremy Kepner, Michael Jones, Daniel Andersen, Aydin Buluç, Chansup Byun, Kimberly C. Claffy, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Chad R. Meiners, Lauren Milechin, Julie Mullen, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas:
Spatial Temporal Analysis of 40, 000, 000, 000, 000 Internet Darkspace Packets. - Yanwei Jia, Xun Yu Zhou:
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach. - Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng:
Efficient Byzantine-Resilient Stochastic Gradient Desce. - Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang:
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. - Meng Hua, Qingqing Wu:
Joint Dynamic Passive Beamforming and Resource Allocation for IRS-Aided Full-Duplex WPCN. - Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma:
HCR-Net: A deep learning based script independent handwritten character recognition network. - Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz:
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. - Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang:
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images. - Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan:
Deep Geospatial Interpolation Networks. - Baitan Shao, Ying Chen:
Multi-granularity for knowledge distillation. - Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection. - Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang:
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection. - Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. - Yinglin Zheng, Jianmin Bao, Dong Chen, Ming Zeng, Fang Wen:
Exploring Temporal Coherence for More General Video Face Forgery Detection. - Benjamin Groisser, Alon Wolf, Ron Kimmel:
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks. - Peter Hillmann, Erik Heiland, Andreas Karcher:
Automated Enterprise Architecture Model Mining. - Yihuan Liao, Min Qiu, Jinhong Yuan:
Windowed Decoding for Delayed Bit-Interleaved Coded Modulation. - Jiunn-Kai Huang, Jessy W. Grizzle:
Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. - Daniela Pöhn, Peter Hillmann:
Reference Service Model for Federated Identity Management. - Sara Abdali, M. Alex O. Vasilescu, Evangelos E. Papalexakis:
Deepfake Representation with Multilinear Regression. - Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn:
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. - Ziyi Xie, Wenqiang Yi, Xuanli Wu, Yuanwei Liu, Arumugam Nallanathan:
STAR-RIS Aided NOMA in Multi-Cell Networks: A General Analytical Framework with Gamma Distributed Channel Modeling. - Mojtaba Shahin, Ali Rezaei Nasab, Muhammad Ali Babar:
A Qualitative Study of Architectural Design Issues in DevOps. - Guodong Ding, Angela Yao:
Temporal Action Segmentation with High-level Complex Activity Labels. - Christopher Scherb, Pascal Bürklin, Christian F. Tschudin:
SwarMS: Swarm-Computations for Mobile Scenarios. - Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov:
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. - Christopher Scherb, Dennis Grewe, Christian F. Tschudin:
Tangle Centric Networking (TCN). - Shao-Qun Zhang, Gao Wei, Zhi-Hua Zhou:
Towards Understanding Theoretical Advantages of Complex-Reaction Networks. - Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. - Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao:
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders. - Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. - Shuvendu Roy, Ali Etemad:
Self-supervised Contrastive Learning of Multi-view Facial Expressions. - Xiao Gao, Miao Li, Xiaohui Xiao:
Learning Dynamical System for Grasping Motion. - Shichao Jia, Zeyu Li, Nuo Chen, Jiawan Zhang:
Towards Visual Explainable Active Learning for Zero-Shot Classification. - Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao:
Effective and Efficient Graph Learning for Multi-view Clustering. - Igor Melatti, Federico Mari, Toni Mancini, Milan Prodanovic, Enrico Tronci:
A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries. - Carole-Jean Wu, Srilatha Manne, Parthasarathy Ranganathan, Sarah Bird, Shane Greenstein:
Socio-Technological Challenges and Opportunities: Paths Forward. - Archana Patel, Narayan C. Debnath:
Development of the InBan_CIDO Ontology by Reusing the Concepts along with Detecting Overlapping Information. - Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang:
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. - Yuliia Lut, Michael Wang, Elissa M. Redmiles, Rachel Cummings:
How we browse: Measurement and analysis of digital behavior. - Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li:
SOTR: Segmenting Objects with Transformers. - Dev Akre, Nuh Aydin, Matthew J. Harrington, Saurav R. Pandey:
New Binary and Ternary Quasi-Cyclic Codes with Good Properties. - Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo:
Learning Open-World Object Proposals without Learning to Classify. - Jay P. Lim, Santosh Nagarakatte:
RLIBM-ALL: A Novel Polynomial Approximation Method to Produce Correctly Rounded Results for Multiple Representations and Rounding Modes. - Benedikt Bagus, Alexander Gepperth:
An Investigation of Replay-based Approaches for Continual Learning. - Chanyoung Kim, Hyungyu Lee, Myeongwoo Jeong, Hyun Myung:
A Morphing Quadrotor that Can Optimize Morphology for Transportation. - Zhiwei Zhang:
A Cascaded Zoom-In Network for Patterned Fabric Defect Detection. - Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce K. H. Chow:
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. - Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. - Lei Ke, Yu-Wing Tai, Chi-Keung Tang:
Occlusion-Aware Video Object Inpainting. - Xiaofeng Xu, Lian Zhang, Yin Shi, Long-Qing Chen, Jinchao Xu:
Integral boundary conditions in phase field models. - Samah Khawaled, Moti Freiman:
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration. - Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh:
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation. - Chuanning Wei, Michael Fauss, Margaret P. Chapman:
CVaR-based Safety Analysis for the Infinite Time Setting. - Wenbo Wang, Amir Leshem:
Decentralized Power Allocation and Beamforming Using Non-Convex Nash Game for Energy-Aware mmWave Networks. - Jiangpeng He, Fengqing Zhu:
Online Continual Learning For Visual Food Classification. - Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang:
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. - Brian Angulo, Konstantin S. Yakovlev, Ivan Radionov:
Augmenting GRIPS with Heuristic Sampling for Planning Feasible Trajectories of a Car-Like Robot. - Ren Wang, Tianqi Chen:
Deep Adversarially-Enhanced k-Nearest Neighbors. - Deepak Singh, Matias Valdenegro-Toro:
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. - Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang:
SSH: A Self-Supervised Framework for Image Harmonization. - Guanyi Chen, Fahime Same, Kees van Deemter:
What can Neural Referential Form Selectors Learn? - Ibrahim Obeidat, Ahmed Al-Arjan, Rula Al-Amrat, Rathaa Al-Ajmi:
An authentication model based on cryptography. - Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao:
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data. - Tianze Yu, Jianzhe Lin, Lichao Mou, Yuansheng Hua, Xiaoxiang Zhu, Z. Jane Wang:
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images. - Nikolai Karpov, Qin Zhang:
Batched Thompson Sampling for Multi-Armed Bandits. - Junheum Park, Chul Lee, Chang-Su Kim:
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation. - Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu:
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. - Yantong Wang, Ye Hu, Zhaohui Yang, Walid Saad, Kai-Kit Wong, Vasilis Friderikos:
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks. - Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng:
EventHPE: Event-based 3D Human Pose and Shape Estimation. - Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida:
Crowdsourcing the State of the Art(ifacts). - Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. - Ashwin Rajadesingan, Carolyn Duran, Paul Resnick, Ceren Budak:
'Walking Into a Fire Hoping You Don't Catch': Strategies and Designs to Facilitate Cross-Partisan Online Discussions. - Xueqing Yan, Yongming Li, Sanjiang Li:
A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand. - Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng:
Human Pose and Shape Estimation from Single Polarization Images. - Kawsar Noor, Lukasz Roguski, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Wai Keong Wong, Anoop D. Shah, Richard J. B. Dobson:
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. - Arvind Seshan:
ALTo: Ad Hoc High-Accuracy Touch Interaction Using Acoustic Localization. - Arvind Seshan:
Enabling High-Accuracy Human Activity Recognition with Fine-Grained Indoor Localization. - Yutong Li:
Maps Search Misspelling Detection Leveraging Domain-Augmented Contextual Representations. - Markus V. S. Lima, Gabriel S. Chaves, Tadeu N. Ferreira, Paulo S. R. Diniz:
Do Proportionate Algorithms Exploit Sparsity? - Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. - Marina Neseem, Sherief Reda:
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices. - Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction. - Ocean M. Barba, Franz Arvin T. Calbay, Angelica Jane S. Francisco, Angel Luis D. Santos, Charmaine S. Ponay:
Clustering Filipino Disaster-Related Tweets Using Incremental and Density-Based Spatiotemporal Algorithm with Support Vector Machines for Needs Assessment. - Yazeed Alrubyli, Anis Koubaa:
Demo Abstract: WiSwitch: A Low-Cost WiFi-based Remote Switch Control for Smart Homes. - S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani:
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. - Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. - Md. Imran Hossen, Ashraful Islam, Farzana Anowar, Eshtiak Ahmed, Mohammad Masudur Rahman:
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling. - Cheng-Yu Pai, Chao-Yu Chen, Zilong Liu:
Designing Two-Dimensional Complete Complementary Codes for Omnidirectional Transmission in Massive MIMO Systems. - Maxwell Wu, Mitchell Cobb, James Reed, Kirti D. Mishra, Chris Vermillion, Kira Barton:
Receding Horizon Iterative Learning Control for Continuously Operated Systems. - Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi:
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. - Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
Reducing the Communication Cost of Federated Learning through Multistage Optimization. - Ruixuan Liu, Changliu Liu:
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. - Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan:
Text-Aware Single Image Specular Highlight Removal. - Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye:
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. - Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. - Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang:
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. - Lingping Gao, Jianchuan Ding, Wenxi Liu, Haiyin Piao, Yuxin Wang, Xin Yang, Baocai Yin:
A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning. - Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. - Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. - (Withdrawn) Efficient Network Analysis Under Link Deletion.
- Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger:
Memtrade: A Disaggregated-Memory Marketplace for Public Clouds. - Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang:
Interpreting Attributions and Interactions of Adversarial Attacks. - Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Challenges for cognitive decoding using deep learning methods. - Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Kenny T. W. Choo, Zhi Li:
AutoChart: A Dataset for Chart-to-Text Generation Task. - Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan:
Neural-to-Tree Policy Distillation with Policy Improvement Criterion. - Somdatta Goswami, Minglang Yin, Yue Yu, George E. Karniadakis:
A physics-informed variational DeepONet for predicting the crack path in brittle materials. - Aditya Saini, Ranjitha Prasad:
Locally Interpretable Model Agnostic Explanations using Gaussian Processes. - Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang:
Online Multi-Granularity Distillation for GAN Compression. - Lingjuan Lyu, Chen Chen:
A Novel Attribute Reconstruction Attack in Federated Learning. - Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani:
Optimal Actor-Critic Policy with Optimized Training Datasets. - Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Blockchain-based Trustworthy Federated Learning Architecture. - Xinyue Wei, Haozhi Huang, Yujin Shi, Hongliang Yuan, Li Shen, Jue Wang:
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution. - Félix A. Miranda-Villatoro, Fernando Castaños, Alessio Franci:
Equivalence of Linear Complementarity Problems: Theory and Application to Nonsmooth Bifurcations. - Marc P. Hauer, Johannes Kevekordes, Maryam Amir Haeri:
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint). - Samaneh Samiei, Nasser Ghadiri, Behnaz Ansari:
A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders. - Ashish Tiwari:
A Conjecture Equivalent to the Collatz Conjecture. - Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich:
Near-Optimal No-Regret Learning in General Games. - Yu-Qi Yang, Peng-Shuai Wang, Yang Liu:
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. - Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao:
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. - Rajeshwari K, Apurva Rohit Hegde, Drishika Patil:
Decision Making in Project Groups Formation: Students' Perception and Reconciliation. - Geyang Wang, Qi Wang:
Q-ary non-overlapping codes: a generating function approach. - Rahul Vaze, Jayakrishnan Nair:
Speed Scaling with Multiple Servers Under A Sum Power Constraint. - Tianyang Liu, Yutian Lin, Bo Du:
Unsupervised Person Re-identification with Stochastic Training Strategy. - Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu:
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples. - Sadegh Dalvandi, Brijesh Dongol:
Verifying C11-Style Weak Memory Libraries via Refinement. - Tianrui Chai, Zhiyuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang:
Video Person Re-identification using Attribute-enhanced Features. - Makarand Velankar, Rachita Kotian, Parag Kulkarni:
Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script. - Rowel Atienza:
Data Augmentation for Scene Text Recognition. - Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. - Leonhard Hennig, Phuc Tran Truong, Aleksandra Gabryszak:
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain. - Yaduo Liu, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Feiliang Ren:
An Effective System for Multi-format Information Extraction. - Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen:
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning. - Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. - Kun Li, Peiming Li, Yong Zeng, Jie Xu:
Channel Knowledge Map for Environment-Aware Communications: EM Algorithm for Map Construction. - Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. - Omid Shokrollahi:
Supply of engineering techniques and software design patterns in psychoanalysis and psychometrics sciences. - Andreas Rupp, Markus Gahn, Guido Kanschat:
Partial differential equations on hypergraphs and networks of surfaces: derivation and hybrid discretizations. - Vitaly Roman'kov:
Multiparty secret sharing based on hidden multipliers. - Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo:
3D High-Fidelity Mask Face Presentation Attack Detection Challenge. - Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? - Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. - Stefan Hoffmann:
State Complexity of Projection on Languages Recognized by Permutation Automata and Commuting Letters. - Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. - Umberto Cerruti:
One Time Pad and the Short Key Dream. - Dohyung Kim, Junghyup Lee, Bumsub Ham:
Distance-aware Quantization. - Stefan Hoffmann:
Constrained Synchronization and Subset Synchronization Problems for Weakly Acyclic Automata. - Ibrahim Almuslimani, Philippe Chartier, Mohammed Lemou, Florian Méhats:
Uniformly accurate schemes for oscillatory stochastic differential equations. - Alvaro Almeida Gomez, Antônio José da Silva Neto, Jorge P. Zubelli:
A diffusion-map-based algorithm for gradient computation on manifolds and applications. - Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
A Single Example Can Improve Zero-Shot Data Generation. - Lukás Sekanina:
Evolutionary Algorithms in Approximate Computing: A Survey. - Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong:
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery. - Lizhi Cheng, Weijia Jia, Wenmian Yang:
An Effective Non-Autoregressive Model for Spoken Language Understanding. - Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen:
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. - Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. - Shuai Ma, Hui Zhou, Yijie Mao, Xiaodong Liu, Youlong Wu, Bruno Clerckx, Yuhao Wang, Shiyin Li:
Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications. - Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch:
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. - Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu:
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. - Nischay Ram Mamidi, Kumar Prasun, Dhruv Saxena, Anil Nemili, Bharatkumar Sharma, S. M. Deshpande:
On the performance of GPU accelerated q-LSKUM based meshfree solvers in Fortran, C++, Python, and Julia. - Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao:
Structure-Aware Feature Generation for Zero-Shot Learning. - Ruikui Wang, Yuanfang Guo, Ruijie Yang, Yunhong Wang:
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy. - Jingming Li, Rui Yan, Kushnazarov Farruh, Anbang Li, Kehua Li:
Research on Brick Schema Representation for Building Operation with Variable Refrigerant Flow Systems. - Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist:
Implicitly Regularized RL with Implicit Q-Values. - Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid:
Towards unconstrained joint hand-object reconstruction from RGB videos. - Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi:
WiseR: An end-to-end structure learning and deployment framework for causal graphical models. - Subhadip Chakrabarti, Loyimee Gogoi, Robert P. Gilles, Surajit Borkotokey, Rajnish Kumar:
Expected Values for Variable Network Games. - Kirill Prokofiev, Vladislav Sovrasov:
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems. - Luisa Greifenstein, Florian Obermüller, Ewald Wasmeier, Ute Heuer, Gordon Fraser:
Effects of Hints on Debugging Scratch Programs: An Empirical Study with Primary School Teachers in Training. - Isabella Graßl, Katharina Geldreich, Gordon Fraser:
Data-driven Analysis of Gender Differences and Similarities in Scratch Programs. - Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. - Odin Foldvik Eikeland, Inga Setså Holmstrand, Sigurd Bakkejord, Matteo Chiesa, Filippo Maria Bianchi:
Detecting and interpreting faults in vulnerable power grids with machine learning. - Dogan Aykas, Siamak Mehrkanoon:
Multistream Graph Attention Networks for Wind Speed Forecasting. - Yuhao Cui, Zhou Yu, Chunqi Wang, Zhongzhou Zhao, Ji Zhang, Meng Wang, Jun Yu:
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration. - Blake Loring, Johannes Kinder:
Systematic Generation of Conformance Tests for JavaScript. - David Paaßen, Sebastian Surminski, Michael Rodler, Lucas Davi:
My Fuzzer Beats Them All! Developing a Framework for Fair Evaluation and Comparison of Fuzzers. - Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Toward the Understanding of Deep Text Matching Models for Information Retrieval. - Amartya Sanyal:
Identifying and Exploiting Structures for Reliable Deep Learning. - Xin Wei, Yifei Gong, Fudong Wang, Xing Sun, Jian Sun:
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views. - Costin Iordache, Stephen M. Fendyke, Mike J. Jones, Robert A. Buckley:
Smart Pointers and Shared Memory Synchronisation for Efficient Inter-process Communication in ROS on an Autonomous Vehicle. - Ritesh Kumar Dubey:
Entropy stable non-oscillatory fluxes: An optimized wedding of entropy conservative flux with non-oscillatory flux. - Yashuai Cao, Tiejun Lv, Wei Ni, Zhipeng Lin:
Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications. - Fernando D. Raverta, Juan A. Fraire, Pablo G. Madoery, Ramiro A. Demasi, Jorge M. Finochietto, Pedro R. D'Argenio:
Routing in Delay-Tolerant Networks under Uncertain Contact Plans. - Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. - Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. - Felix Adler, Gordon Fraser, Eva Gründinger, Nina Körber, Simon Labrenz, Jonas Lerchenberger, Stephan Lukasczyk, Sebastian Schweikl:
Improving Readability of Scratch Programs with Search-based Refactoring. - Yilan Chen, Kin Chung Kwan, Li-Yi Wei, Hongbo Fu:
Autocomplete Repetitive Stroking with Image Guidance. - Ali Shokri:
A Program Synthesis Approach for Adding Architectural Tactics to An Existing Code Base. - Seyed Omid Sadjadi:
NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition. - Hans Chalupsky, Pedro A. Szekely, Filip Ilievski, Daniel Garijo, Kartik Shenoy:
Creating and Querying Personalized Versions of Wikidata on a Laptop. - Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka:
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities. - Jonathan R. J. Yong, Mohammadali Foroozandeh:
On-the-Fly, Sample-Tailored Optimisation of NMR Experiments. - Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais:
Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory. - Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. - Konstantin Herb, Pol Welter:
Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines. - Zhong Zhou, Alex Waibel:
Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages. - Sander de Bruin, Vadim Liventsev, Milan Petkovic:
Autoencoders as Tools for Program Synthesis. - Niamh Belton, Aonghus Lawlor, Kathleen M. Curran:
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets. - Maciej Buszka, Dariusz Biernacki:
Automating the Functional Correspondence between Higher-Order Evaluators and Abstract Machines. - Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Neural Predictive Monitoring under Partial Observability. - Malolan Vasu, Nelson Abreu, Raysa Vásquez, Christian E. López:
Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection. - Amirhosein Bodaghi:
A Longitudinal Analysis on Instagram Characteristics of Olympic Champions. - Souridas Alaka, Rishikesh Sreekumar, Hrithwik Shalu:
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model. - Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li:
MTG: A Benchmarking Suite for Multilingual Text Generation. - Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammadhossein Shabani, Mohammad Ghafari:
Hurdles for Developers in Cryptography. - Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma:
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. - Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis:
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. - Xingyang Ni, Heikki Huttunen, Esa Rahtu:
On the Importance of Encrypting Deep Features. - Weijun Tan, Hongwei Guo:
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset. - Yi Wang, Yuchen He, Xutian Deng, Ziwei Lei, Yiting Chen, Miao Li:
Learning Friction Model for Tethered Capsule Robot. - Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li:
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction. - Shulun Wang, Bin Liu, Feng Liu:
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism. - Yinhe Zheng, Guanyi Chen, Xin Liu, Ke Lin:
MMChat: Multi-Modal Chat Dataset on Social Media. - Charis Papadopoulos, Athanasios Zisis:
Computing and Listing Avoidable Vertices and Paths. - David B. Dahl:
Writing R Extensions in Rust. - Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu:
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. - Chetan L. Srinidhi, Anne L. Martel:
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology. - Sepehr Assadi:
A Two-Pass Lower Bound for Semi-Streaming Maximum Matching. - Pascal Gadient, Marc-Andrea Tarnutzer, Oscar Nierstrasz, Mohammad Ghafari:
Security Smells Pervade Mobile App Servers. - Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou:
Masked Face Recognition Challenge: The WebFace260M Track Report. - Jiska Classen, Matthias Hollick:
Happy MitM: Fun and Toys in Every Bluetooth Device. - Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Reverberant Speech Separation. - Ran Yu, Chenyu Tian, Weihao Xia, Xinyuan Zhao, Haoqian Wang, Yujiu Yang:
Real-time Human-Centric Segmentation for Complex Video Scenes. - Yabin Zhang, Adrianna Gillman, Shravan K. Veerapaneni:
A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations. - Stefan Escaida Navarro, Stephan Mühlbacher-Karrer, Hosam Alagi, Hubert Zangl, Keisuke Koyama, Björn Hein, Christian Duriez, Joshua R. Smith:
Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications. - Feras A. Saad, Vikash K. Mansinghka:
Hierarchical Infinite Relational Model. - Simon Kafader, Mohammad Ghafari:
FluentCrypto: Cryptography in Easy Mode. - Thomas Effland, Michael Collins:
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. - Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya B. Gokhale, Roger Pearce:
Metall: A Persistent Memory Allocator For Data-Centric Analytics. - Minghui Liwang, Ruitao Chen, Xianbin Wang, Xuemin Shen:
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks. - Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? - Muhammad A. Awad, Saman Ashkiani, Serban D. Porumbescu, Martin Farach-Colton, John D. Owens:
Better GPU Hash Tables. - Vinay Kumar Chapala, Syed Mohammad Zafaruddin:
Multihop RIS-Assisted FSO-RF System Over Double Generalized Gamma Fading. - Mariem Makni, Ihab Haidar, Jean-Pierre Barbot, Franck Plestan, Nabih Feki, Mohamed Slim Abbes:
Active fault tolerant control for twin wind turbine subject to asymmetric fault. - Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi, Nasser Khalili:
A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity. - Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. - Abdul Waheed, Muskan Goyal, Nimisha Mittal, Deepak Gupta, Ashish Khanna, Moolchand Sharma:
BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification. - Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor:
Who's Waldo? Linking People Across Text and Images. - Nicholas Carlini, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Florian Tramèr:
NeuraCrypt is not private. - Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. - Erdem Biyik, Aditi Talati, Dorsa Sadigh:
APReL: A Library for Active Preference-based Reward Learning Algorithms. - Tony Ng, Adrian Lopez Rodriguez, Vassileios Balntas, Krystian Mikolajczyk:
Reassessing the Limitations of CNN Methods for Camera Pose Regression. - Mark E. Petersen, Randal W. Beard:
The Integrated Probabilistic Data Association Filter Adapted to Lie Groups. - Georgi Medvedev, Gideon Simpson:
A Numerical Method for a Nonlocal Diffusion Equation with Additive Noise. - Sachin Gavali, Chuming Chen, Julie Cowart, Xi Peng, Shanshan Ding, Cathy Wu, Tammy Anderson:
Understanding the factors driving the opioid epidemic using machine learning. - Hazem Torfah, Shetal Shah, Supratik Chakraborty, S. Akshay, Sanjit A. Seshia:
Synthesizing Pareto-Optimal Interpretations for Black-Box Models. - Gary Cheng, Karan N. Chadha, John C. Duchi:
Fine-tuning is Fine in Federated Learning. - Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton:
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion. - Daniel J. Katz, Courtney M. van der Linden:
Peak Sidelobe Level and Peak Crosscorrelation of Golay-Rudin-Shapiro Sequences. - Kaida Kaeval, Tobias Fehenberger, Jim Zou, Sander Lars Jansen, Klaus Grobe, Helmut Griesser, Jörg-Peter Elbers, Marko Tikas, Gert Jervan:
QoT Assessment of the Optical Spectrum as a Service in Disaggregated Network Scenarios. - Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. - Cheuk Ting Li:
First-Order Theory of Probabilistic Independence and Single-Letter Characterizations of Capacity Regions. - Nabila Abdessemed, Rachid Benacer, Naima Boudiaf:
Role of New Kernel Function in Complexity Analysis of an Interior Point Algorithm for Semi definite Linear Complementarity Problem. - Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers:
TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset. - Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Weakly Supervised Classification Using Group-Level Labels. - Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi:
Generative Relation Linking for Question Answering over Knowledge Bases. - William Rudman, Nate Gillman, Taylor Rayne, Carsten Eickhoff:
IsoScore: Measuring the Uniformity of Vector Space Utilization. - A. Bock, Anthony Palladino, S. Smith-Heisters, I. Boardman, E. Pellegrini, Elisa J. Bienenstock, A. Valenti:
An NLP approach to quantify dynamic salience of predefined topics in a text corpus. - Ashwani Kumar, Aditya Pratap Singh:
An Efficient Parallel Algorithm for finding Bridges in a Dense Graph. - Davide Torlo, Philipp Öffner, Hendrik Ranocha:
A New Stability Approach for Positivity-Preserving Patankar-type Schemes. - Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. - Alex Berke, Nicolas Lee, Patrick Chwalek:
Private Delivery Networks - Extended Abstract. - Juha Harviainen, Antti Röyskö, Mikko Koivisto:
Approximating the Permanent with Deep Rejection Sampling. - Amir Reza Ramtin, Don Towsley:
A Game-Theoretic Approach to Self-Stabilization with Selfish Agents. - Anna Lubiw, Anurag Murty Naredla:
The Visibility Center of a Simple Polygon. - Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. - Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann, Yacine Jernite:
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards. - Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang:
BN-NAS: Neural Architecture Search with Batch Normalization. - Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation. - Shi Qiu, Saeed Anwar, Nick Barnes:
PnP-3D: A Plug-and-Play for 3D Point Clouds. - Wenju Xu, Chengjiang Long, Ruisheng Wang, Guanghui Wang:
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. - Yi Li, Yan Song, Qin Zhang:
Learning to Cluster via Same-Cluster Queries. - Aritra Ghosh, Andrew S. Lan:
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. - Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. - Caleb Helbling, Firat Aksoy:
Solving the Funarg Problem with Static Types. - Jessie Liu, Blanca Gallego, Sebastiano Barbieri:
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis. - Athanasios Angelakis, Ioanna Soulioti:
Diagnosis of Acute Myeloid Leukaemia Using Machine Learning. - Molly O'Brien, Mike Medoff, Julia V. Bukowski, Greg Hager:
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains. - Roopak Sinha, Cheng Pang, Gerardo Santillán Martínez, Juha Kuronen, Valeriy Vyatkin:
Requirements-Aided Automatic Test Case Generation for Industrial Cyber-physical Systems. - Shengcheng Yu, Chunrong Fang, Kai Mei, Yexiao Yun, Zhenfei Cao, Zhihao Cao, Zhenyu Chen:
Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis. - Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. - Xinyue Zhang, Nannan Wu, Zixu Zhen, Wenjun Wang:
ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network. - Tianyu Wang, Yifeng Huang, Didong Li:
From the Greene-Wu Convolution to Gradient Estimation over Riemannian Manifolds. - Mantang Guo, Jing Jin, Hui Liu, Junhui Hou:
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines. - Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin:
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation. - Puyu Wang, Liang Wu, Yunwen Lei:
Stability and Generalization for Randomized Coordinate Descent. - Yu Geng, Liang Lan:
Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients. - Hyunjong Park, Sanghoon Lee, Junghyup Lee, Bumsub Ham:
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences. - Xutong Jin, Sheng Li, Dinesh Manocha, Guoping Wang:
DeepEigen: Learning-based Modal Sound Synthesis with Acoustic Transfer Maps. - Liren Lin, Yun Fan:
Self-dual 2-quasi-abelian Codes. - Tamal K. Dey, Cheng Xin:
Rectangular Approximation and Stability of 2-parameter Persistence Modules. - Sara Asgari, Babak Sadeghiyan:
Reconstruction of Worm Propagation Path Using a Trace-back Approach. - Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. - Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang:
Modeling Protein Using Large-scale Pretrain Language Model. - Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland:
Social influence leads to the formation of diverse local trends. - Yong Lee, Shuang Mei:
Diffeomorphic Particle Image Velocimetry. - David Eppstein:
Limitations on Realistic Hyperbolic Graph Drawing. - Chen Wang, Hua Chen, Jia Pan, Wei Zhang:
Encirclement Guaranteed Cooperative Pursuit with Robust Model Predictive Control. - Hari Mohan Gaur, Ashutosh Kumar Singh, Umesh Ghanekar:
Testable Designs of Toffoli Fredkin Reversible Circuits. - Eliana Pastor, Luca de Alfaro, Elena Baralis:
Identifying Biased Subgroups in Ranking and Classification. - Fei Zheng, Chaochao Chen, Xiaolin Zheng:
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. - Hilal AlQuabeh, Ameera Bawazeer, Abdulateef Alhashmi:
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification. - Runze Li, Tomaso Fontanini, Luca Donati, Andrea Prati, Bir Bhanu:
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation. - Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad:
Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model. - Ruonan Cao, Nan Jiang, Huanhuan Yang:
Two linear, unconditionally stable, second order decoupling methods for the Allen-Cahn-Navier-Stokes phase field model. - Ze-Hua Sheng, Hui-Liang Shen, Bo-Wen Yao, Huaqi Zhang:
Guided Colorization Using Mono-Color Image Pairs. - Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng:
Learning to Compute Approximate Nash Equilibrium for Normal-form Games. - Théo Zimmermann, Jean-Rémy Falleri:
A grounded theory of Community Package Maintenance Organizations-Registered Report. - Richard Schussnig, Douglas R. Q. Pacheco, Thomas-Peter Fries:
An efficient split-step scheme for fluid-structure interaction involving incompressible viscous flows. - Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. - Feng Sun, Ajith Kumar V, Guanci Yang, Qikui Zhu, Yiyun Zhang, Ansi Zhang, Dhruv Makwana:
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks. - Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. - Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yanfeng Wang:
CaT: Weakly Supervised Object Detection with Category Transfer. - Yinlin Ye, Yajing Li, Hongtao Fan, Xinyi Liu, Hongbing Zhang:
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative. - Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong:
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation. - Chi-Tung Cheng, Jinzheng Cai, Wei Teng, Youjing Zheng, Yuting Huang, Yu-Chao Wang, Chien-Wei Peng, Youbao Tang, Wei-Chen Lee, Ta-Sen Yeh, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening. - Xiaoqiang Wang, Yanqing Liu, Sheng Zhao, Jinyu Li:
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems. - Hengtao He, Hanqing Wang, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO. - Jenna Kanerva, Filip Ginter, Li-Hsin Chang, Iiro Rastas, Valtteri Skantsi, Jemina Kilpeläinen, Hanna-Mari Kupari, Aurora Piirto, Jenna Saarni, Maija Sevón, Otto Tarkka:
Annotation Guidelines for the Turku Paraphrase Corpus. - Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. - Francesco Dolce, L'ubomíra Dvoráková, Edita Pelantová:
On balanced sequences and their critical exponent. - Chen-Feng Liu, Mehdi Bennis:
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT. - Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo:
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. - Haitian Zeng, Yuchao Dai, Xin Yu, Xiaohan Wang, Yi Yang:
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion. - Chengjian Feng, Yujie Zhong, Weilin Huang:
Exploring Classification Equilibrium in Long-Tailed Object Detection. - Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata:
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty. - A. R. Balasubramanian, Chana Weil-Kennedy:
Reconfigurable Broadcast Networks and Asynchronous Shared-Memory Systems are Equivalent (Long Version). - Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao:
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation. - Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kamarainen:
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning. - Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. - Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao:
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer. - Florian Strohm, Ekta Sood, Sven Mayer, Philipp Müller, Mihai Bâce, Andreas Bulling:
Neural Photofit: Gaze-based Mental Image Reconstruction. - Andrea Alfieri, Yancong Lin, Jan C. van Gemert:
Investigating transformers in the decomposition of polygonal shapes as point collections. - Shaobo Cui, Xintong Bao, Xuming Lin, Zhongzhou Zhao, Ji Zhang, Wei Zhou, Haiqing Chen:
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts. - Ziwei Huang, Yanli Ran, Jonathan Oesterle, Thomas Euler, Philipp Berens:
Estimating smooth and sparse neural receptive fields with a flexible spline basis. - Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin:
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. - Jianfeng Wu, Sijie Mai, Haifeng Hu:
Graph Capsule Aggregation for Unaligned Multimodal Sequences. - Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks. - Hisao Tamaki:
A heuristic for listing almost-clique minimal separators of a graph. - Théophile Chaumont-Frelet:
A simple equilibration procedure leading to polynomial-degree-robust a posteriori error estimators for the curl-curl problem. - Jinyung Hong, Theodore P. Pavlic:
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. - Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. - Alberto Muñoz-Ortiz, Michalina Strzyz, David Vilares:
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing. - Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? - Florian Boudin:
ACM-CR: A Manually Annotated Test Collection for Citation Recommendation. - (Withdrawn) When Product Search Meets Collaborative Filtering: A Hierarchical Heterogeneous Graph Neural Network Approach.
- Claes Strannegård, Niklas Engsner, Pietro Ferrari, Hans Glimmerfors, Marcus Hilding Södergren, Tobias Karlsson, Birger Kleve, Victor Skoglund:
The Ecosystem Path to General AI. - Mingyao Cui, Linglong Dai:
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field? - Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. - Michael Herty, Elisa Iacomini:
Uncertainty Quantification in Hierarchical Vehicular Flow Models. - Yiyi Chen, Harald Sack, Mehwish Alam:
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors. - Sondre Glimsdal, Ole-Christoffer Granmo:
Coalesced Multi-Output Tsetlin Machines with Clause Sharing. - Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou:
Light Field Image Super-Resolution with Transformers. - Tariq Alkhalifah, Oleg Ovcharenko:
Direct domain adaptation through reciprocal linear transformations. - Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný:
When Should You Defend Your Classifier - A Game-theoretical Analysis of Countermeasures against Adversarial Examples. - Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. - Michael Schwarz, Simmo Saan, Helmut Seidl, Kalmer Apinis, Julian Erhard, Vesal Vojdani:
Improving Thread-Modular Abstract Interpretation. - Muraleekrishna Gopinathan, Giang Truong, Jumana Abu-Khalaf:
Indoor Semantic Scene Understanding using Multi-modality Fusion. - Tor Sporsem, Anastasiia Tkalich, Nils Brede Moe, Marius Mikalsen, Nina Rygh:
Using Guilds to Foster Internal Startups in Large Organizations: A case study. - Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan, Marco Di Renzo, Robert Schober, H. Vincent Poor, Jiangzhou Wang, Lajos Hanzo:
Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Imperfect CSI. - Paul Gustafson, Jared Culbertson, Daniel E. Koditschek:
Hybrid dynamical type theories for navigation. - Amitoj Singh, Jingshu Chen, Lihao Zhang, Amin Rasekh, Ilana Golbin, Anand S. Rao:
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study. - Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang:
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. - Diogo Cortiz, Jefferson O. Silva, Newton Calegari, Ana Luísa Freitas, Ana Angélica Soares, Carolina Botelho, Gabriel Gaudencio do Rêgo, Waldir Sampaio, Paulo Sergio Boggio:
A Weak Supervised Dataset of Fine-Grained Emotions in Portuguese. - Jordi Armengol-Estapé, Michael F. P. O'Boyle:
Learning C to x86 Translation: An Experiment in Neural Compilation. - You Jin Kim, Hee-Soo Heo, Soyeon Choe, Soo-Whan Chung, Yoohwan Kwon, Bong-Jin Lee, Youngki Kwon, Joon Son Chung:
Look Who's Talking: Active Speaker Detection in the Wild. - Takumi Shimoda, Naoki Kobayashi, Ken Sakayori, Ryosuke Sato:
Symbolic Automatic Relations and Their Applications to SMT and CHC Solving. - Dongzhu Liu, Osvaldo Simeone:
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. - Max Pellert, Hannah Metzler, Michael Matzenberger, David García:
Validating daily social media macroscopes of emotions. - Pooja Rani, Mathias Birrer, Sebastiano Panichella, Mohammad Ghafari, Oscar Nierstrasz:
What Do Developers Discuss about Code Comments? - Ghurumuruhan Ganesan:
Approximate MDS Property of Linear Codes. - Dylan Solms:
On the equivalence of holding cost and response time for evaluating performance of queues. - Mattia Risiglione, Jean-Pierre Sleiman, Maria Vittoria Minniti, Burak Cizmeci, Douwe Dresscher, Marco Hutter:
Passivity-based control for haptic teleoperation of a legged manipulator in presence of time-delays. - Amr S. Mohamed, Ali AbdelKader, Mohamed G. Anany, Omar El-Behady, Muhammad Faisal, Asser Hangal, Hesham M. Eraqi, Mohamed N. Moustafa:
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation. - Penghua Zhai, Huaiwei Cong, Gangming Zhao, Chaowei Fang, Jinpeng Li, Ting Cai, Huiguang He:
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions. - Iftach Haitner, Noam Mazor, Jad Silbak, Eliad Tsfadia:
On the Complexity of Two-Party Differential Privacy. - Yuxiang Wei, Yupeng Shi, Xiao Liu, Zhilong Ji, Yuan Gao, Zhongqin Wu, Wangmeng Zuo:
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation. - Jorge Fandinno, Wolfgang Faber, Michael Gelfond:
Thirty years of Epistemic Specifications. - Julius Gonsior, Maik Thiele, Wolfgang Lehner:
ImitAL: Learning Active Learning Strategies from Synthetic Data. - Tomás Cízek, Martin Balko:
Implementation of Sprouts: a graph drawing game. - Anton Frigård, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Rateless Codes for Low-Latency Distributed Inference in Mobile Edge Computing. - Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision. - Guiju Ping, Mahdi Abolfazli Esfahani, Han Wang:
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image. - Jonathan S. Rosenfeld:
Scaling Laws for Deep Learning. - Seyedmajid Hosseini, Satya Katragadda, Ravi Teja Bhupatiraju, Ziad Ashkar, Christoph W. Borst, Kenneth Cochran, Raju Gottumukkala:
A multi-modal sensor dataset for continuous stress detection of nurses in a hospital. - Joseph A. Esquivel, James A. Esquivel:
A Machine Learning Based DSS in Predicting Undergraduate Freshmen Enrolment in a Philippine University. - Ajay Kulkarni, Olga Gkountouna:
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool. - Alexander Genser, Noel Hautle, Michail Makridis, Anastasios Kouvelas:
An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation. - Claire Powell, Luke Burns:
Digital Divide: Mapping the geodemographics of internet accessibility across Great Britain. - Nataliya Nedzhvetskaya, J. S. Tan:
In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance. - Saurav Kumar, Rushil Jayant, Nihaar Charagulla:
Sentiment Analysis on the News to Improve Mental Health. - Cheng Zhang, Arthur Azevedo de Amorim, Marco Gaboardi:
On Incorrectness Logic and Kleene Algebra With Top and Tests. - Timothee Mickus, Mathieu Constant, Denis Paperno:
A Game Interface to Study Semantic Grounding in Text-Based Models. - Anshul Kumar, Roger Edwards, Lisa Walker:
The application of predictive analytics to identify at-risk students in health professions education. - Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. - Krzysztof Chomiak, Michal Miktus:
Harnessing value from data science in business: ensuring explainability and fairness of solutions. - Jide Kehinde Adeniyi, Emmanuel Abidemi Adeniyi, Roseline Oluwaseun Ogundokun, Himanshu Gupta, Sanjay Misra:
Prediction of Students performance with Artificial Neural Network using Demographic Traits. - Razvan Rughinis, Cosima Rughinis, Simona Nicoleta Vulpe, Daniel Rosner:
From social netizens to data citizens: variations of GDPR awareness in 28 European countries. - Arun Kishor Sharma, Sandeep Kautish:
Prospects And Challenges In Digitization: The Case Study Of Federal Parliament Of Nepal. - Matthew Stephan:
Monitor++?: Multiple versus Single Laboratory Monitors in Early Programming Education. - Jacob Austin, Augustus Odena, Maxwell I. Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie J. Cai, Michael Terry, Quoc V. Le, Charles Sutton:
Program Synthesis with Large Language Models. - Louis Gallagher, Varun Ravi Kumar, Senthil Kumar Yogamani, John B. McDonald:
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving. - Javier Latorre, Charlotte Bailleul, Tuuli Morrill, Alistair Conkie, Yannis Stylianou:
Combining speakers of multiple languages to improve quality of neural voices. - Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch II:
Incremental cluster validity index-guided online learning for performance and robustness to presentation order. - Jaehyung Choi:
Kähler information manifolds of signal processing filters in weighted Hardy spaces. - Therese Biedl, Anna Lubiw, Anurag Murty Naredla, Peter Dominik Ralbovsky, Graeme Stroud:
Distant Representatives for Rectangles in the Plane. - Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R. Scott, Weilin Huang:
TOOD: Task-aligned One-stage Object Detection. - Xingqin Lin, Zhipeng Lin, Stefan Eriksson Löwenmark, Johan Rune, Robert S. Karlsson:
Doppler Shift Estimation in 5G New Radio Non-Terrestrial Networks. - Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur:
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. - Ishwarya Sivakumar, Nishaali Meenakshisundaram, Ishwarya Ramesh, Shiloah Elizabeth Darmanayagam, Sunil Retmin Raj C:
VisBuddy - A Smart Wearable Assistant for the Visually Challenged. - Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle:
On Limited Non-Prioritised Belief Revision Operators with Dynamic Scope. - Aidan Petratos, Allen Ting, Shankar Padmanabhan, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz:
Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning. - Sayma Sultana, Amiangshu Bosu:
Are Code Review Processes Influenced by the Genders of the Participants? - Yuan Li, Chuanchang Chen, Yubo Tao, Hai Lin:
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs. - Arij Bouazizi, Julian Wiederer, Ulrich Kressel, Vasileios Belagiannis:
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry. - Dennis Wittich, Franz Rottensteiner:
Appearance Based Deep Domain Adaptation for the Classification of Aerial Images. - Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. - Zhiting Hu, Eric P. Xing:
Panoramic Learning with A Standardized Machine Learning Formalism. - Tianlong Kong, Shouyi Yin, Dawei Zhang, Wang Geng, Xin Wang, Dandan Song, Jinwen Huang, Huiyu Shi, Xiaorui Wang:
Dynamic Multi-scale Convolution for Dialect Identification. - Xianrui Zheng, Chao Zhang, Philip C. Woodland:
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition. - Helen Ngo, Cooper Raterink, João G. M. Araújo, Ivan Zhang, Carol Chen, Adrien Morisot, Nicholas Frosst:
Mitigating harm in language models with conditional-likelihood filtration. - Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. - (Withdrawn) Modeling Pedagogical Learning Environment with Hybrid Model based on ICT.
- Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. - Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Feature Recommendation for Structural Equation Model Discovery in Process Mining. - Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. - Karl Otness, Arvi Gjoka, Joan Bruna, Daniele Panozzo, Benjamin Peherstorfer, Teseo Schneider, Denis Zorin:
An Extensible Benchmark Suite for Learning to Simulate Physical Systems. - Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi:
Bagging Supervised Autoencoder Classifier for Credit Scoring. - Benjamin Cedric Larsen:
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized. - Abhiroop Sarkar, Robert Krook, Bo Joel Svensson, Mary Sheeran:
Higher-Order Concurrency for Microcontrollers. - Yi Zhang, Yudong Tao, Mei-Ling Shyu, Lynn K. Perry, Prem R. Warde, Daniel S. Messinger, Chaoming Song:
Simulating COVID19 Transmission From Observed Movement: An Agent-Based Model of Classroom Dispersion. - Tharindu B. Adikari, Stark C. Draper:
Compressing gradients by exploiting temporal correlation in momentum-SGD. - Mustafa Can Gursoy, Urbashi Mitra:
Higher Order Derivative-Based Receiver Pre-processing for Molecular Communications. - Peyman Mohtat, Sravan Pannala, Valentin Sulzer, Jason B. Siegel, Anna G. Stefanopoulou:
An Algorithmic Safety VEST For Li-ion Batteries During Fast Charging. - Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, Timofey Bryksin:
Infrastructure in Code: Towards Developer-Friendly Cloud Applications. - Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. - Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu:
Channel-Temporal Attention for First-Person Video Domain Adaptation. - Kanav Vats, Mehrnaz Fani, David A. Clausi, John S. Zelek:
Multi-task learning for jersey number recognition in Ice Hockey. - Yu Qiu, Yun Liu, Le Zhang, Jing Xu:
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net. - Chethan Kumar Anjinappa, Ismail Güvenç:
Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach. - Paul Parsons:
Understanding Data Visualization Design Practice. - Ali Hürriyetoglu, Hristo Tanev, Vanni Zavarella, Jakub Piskorski, Reyyan Yeniterzi, Erdem Yörük:
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report. - Stephanie Schoch, Wanyu Du, Yangfeng Ji:
Contextualizing Variation in Text Style Transfer Datasets. - Christiano Braga, Narciso Martí-Oliet:
B Maude: A formal executable environment for Abstract Machine Notation Descriptions. - Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs:
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory. - Olivier Bousquet, Mark Braverman, Klim Efremenko, Gillat Kol, Shay Moran:
Statistically Near-Optimal Hypothesis Selection. - Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. - Keller Blackwell, Mary Wootters:
A Note on the Permuted Puzzles Toy Conjecture. - Ruibo Liu, Jason Wei, Chenyan Jia, Soroush Vosoughi:
Modulating Language Models with Emotions. - Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath:
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay. - Yunseok Jang, Yale Song, Gunhee Kim:
On the Virality of Animated GIFs on Tumblr. - Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu:
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. - Leena Mathur, Maja J. Mataric:
Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection. - Paul Resnick, Aljohara Alfayez, Jane Im, Eric Gilbert:
Informed Crowds Can Effectively Identify Misinformation. - Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng:
HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. - Bruno Augusto Dorta Marques, Esteban Walter Gonzalez Clua, Anselmo Antunes Montenegro, Cristina Nader Vasconcelos:
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality. - Luca Parisi:
M-ar-K-Fast Independent Component Analysis. - John Seymour, Dac-Thanh-Chuong Ho, Quang-Hung Luu:
An Empirical Testing of Autonomous Vehicle Simulator System for Urban Driving. - Yeojun Kim, Jacopo Guanetti, Francesco Borrelli:
Compact Cooperative Adaptive Cruise Control for Energy Saving: Air Drag Modelling and Simulation. - Thuy T. Le, Loc H. Nguyen, Hung V. Tran:
A Carleman-based numerical method for quasilinear elliptic equations with over-determined boundary data and applications. - Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data Pricing in Machine Learning Pipelines. - Anish Lakkapragada, Peter Washington, Dennis P. Wall:
Activity Recognition for Autism Diagnosis. - Ruijun Gao, Qing Guo, Qian Zhang, Felix Juefei-Xu, Hongkai Yu, Wei Feng:
Adversarial Relighting against Face Recognition. - Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. - Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen:
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. - Zhe Yuan, Yimin Wen:
A new semi-supervised inductive transfer learning framework: Co-Transfer. - Lin Ning, Karan Singhal, Ellie X. Zhou, Sushant Prakash:
Learning Federated Representations and Recommendations with Limited Negatives. - Stamatis Karnouskos, Roopak Sinha, Paulo Leitão, Luis Ribeiro, Thomas I. Strasser:
Assessing the Integration of Software Agents and Industrial Automation Systems with ISO/IEC 25010. - Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen:
Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot. - Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo:
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning. - Ynjiun Paul Wang:
Object Disparity. - André Luiz Buarque Vieira e Silva, Heitor de Castro Felix, Thiago de Menezes Chaves, Francisco Paulo Magalhaes Simões, Veronica Teichrieb, Michel Mozinho dos Santos, Hemir da Cunha Santiago, Virgínia Adélia Cordeiro Sgotti, Henrique Baptista Duffles Teixeira Lott Neto:
STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images. - Haotian Jiang, Victor Reis:
A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound. - Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu:
DeepFake MNIST+: A DeepFake Facial Animation Dataset. - Binay Gupta, Anirban Chatterjee, Harika Matha, Kunal Banerjee, Lalitdutt Parsai, Vijay Srinivas Agneeswaran:
Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment. - Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Emil Björnson, Dimitrios Selimis, Wallace Alves Martins, Steven Kisseleff, Sergi Abadal, Eduard Alarcón, Anastasios K. Papazafeiropoulos, Fotis I. Lazarakis, Angeliki Alexiou, Symeon Chatzinotas:
Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting. - Yucheng Zhao, Guangting Wang, Chong Luo, Wenjun Zeng, Zheng-Jun Zha:
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction. - Yu Jiang, Lei Hu, Yongmei Zhang, Xin Yang:
WRICNet: A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection. - Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao:
SynFace: Face Recognition with Synthetic Data. - Kai Jia, Martin C. Rinard:
Verifying Low-dimensional Input Neural Networks via Input Quantization. - Zhe Shen, Takeshi Tsuchiya:
A Novel Formula Calculating the Dynamic State Error and Its Application in UAV Tracking Control Problem. - Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang:
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. - Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Scalable regret for learning to control network-coupled subsystems with unknown dynamics. - Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective. - Hui Ying, He Wang, Tianjia Shao, Yin Yang, Kun Zhou:
Unsupervised Image Generation with Infinite Generative Adversarial Networks. - Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. - Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. - Sudarshan S. Harithas, Harish V. Mekali:
ARDOP: A Versatile Humanoid Robotic Research Platform. - (Withdrawn) Improved Lower Bounds for Secure Codes and Related Structures.
- Fuyang Zhang, Xiang Xu, Nelson Nauata, Yasutaka Furukawa:
Structured Outdoor Architecture Reconstruction by Exploration and Classification. - Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen:
EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments. - Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao:
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension. - Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya:
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. - Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen:
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation. - Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng:
Contrastive Identification of Covariate Shift in Image Data. - Jiayin Chen, Hendra I. Nurdin:
Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms. - Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander:
Stochastic Cluster Embedding. - Ilija Simic, Vedran Sabol, Eduardo E. Veas:
XAI Methods for Neural Time Series Classification: A Brief Review. - Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce. - Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. - Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold:
Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. - Russell Buchanan, Jakub Bednarek, Marco Camurri, Michal R. Nowicki, Krzysztof Walas, Maurice F. Fallon:
Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification. - Jae Cheol Park, Kyu-Min Kang, Junil Choi:
Low-Complexity Algorithm for Outage Optimal Resource Allocation in Energy Harvesting-Based UAV Identification Networks. - Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang:
Deep Hybrid Self-Prior for Full 3D Mesh Generation. - Jaroslav Bendík, Ahmet Sencan, Ebru Aydin Gol, Ivana Cerná:
Timed Automata Robustness Analysis via Model Checking. - Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. - Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao:
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. - Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. - Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang:
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. - Fernando Cristiani, Peter Thiemann:
Generation of TypeScript Declaration Files from JavaScript Code. - Qiang Zhao, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Chenggang Yan, Feng Dai:
Unbiased IoU for Spherical Image Object Detection. - Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu:
Adaptive Graph Convolution for Point Cloud Analysis. - Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar:
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. - Lisong Chen, Peilin Zhou, Yuexian Zou:
Joint Multiple Intent Detection and Slot Filling via Self-distillation. - Seong-Jin Ahn, Myoung Ho Kim:
Variational Graph Normalized Auto-Encoders. - Anuj Tambwekar, Kshitij Agrawal, Anay Majee, Anbumani Subramanian:
Few-Shot Batch Incremental Road Object Detection via Detector Fusion. - Jean Cardinal, John Iacono, Grigorios Koumoutsos:
Worst-Case Efficient Dynamic Geometric Independent Set. - Bongani B. Maseko, Corné E. van Daalen, Johann Treurnicht:
Optimised Informed RRTs for Mobile Robot Path Planning. - Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Guoqing Li:
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments. - Linda Alzaben, Daniele Boffi:
On the spectrum of the finite element approximation of a three field formulation for linear elasticity. - Quyuan Luo, Shihong Hu, Changle Li, Guanghui Li, Weisong Shi:
Resource Scheduling in Edge Computing: A Survey. - Zhongguo Li, Wen-Hua Chen, Jun Yang:
Concurrent Learning Based Dual Control for Exploration and Exploitation in Autonomous Search. - Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang:
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images. - Simon Jantsch, Jakob Piribauer, Christel Baier:
Witnessing subsystems for probabilistic systems with low tree width. - Huqun Suri, Qi Zhang, Wenhua Huo, Yan Liu, Chunsheng Guan:
MeDiaQA: A Question Answering Dataset on Medical Dialogues. - Keyang Zhou, Kailun Yang, Kaiwei Wang:
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes. - Wlodzimierz Drabent:
On correctness and completeness of an n queens program. - Wilhelm Hasselbring, Maik Wojcieszak, Schahram Dustdar:
Control Flow Versus Data Flow in Distributed Systems Integration: Revival of Flow-Based Programming for the Industrial Internet of Things. - Junjie H. Xu, Yulin Cai, Zhou Fang, Pujana Paliyawan:
Promoting Mental Well-Being for Audiences in a Live-Streaming Game by Highlight-Based Bullet Comments. - Simeon Ball, Ricard Vilar:
The geometry of Hermitian self-orthogonal codes. - Siyuan Dong, Jun Cao, Zhong Fan:
A Review on Cybersecurity in Smart Local Energy Systems: Requirements, Challenges, and Standards. - Congcong Ge, Pengfei Wang, Lu Chen, Xiaoze Liu, Baihua Zheng, Yunjun Gao:
CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration. - Alessandra Rossi, Patrick Holthaus, Sílvia Moros, Marcus Scheunemann, Gabriella Lakatos:
Trust, Acceptance and Social Cues in Human-Robot Interaction - SCRITA 2021. - Teyon Son, Tao Xiao, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
More Than React: Investigating The Role of EmojiReaction in GitHub Pull Requests. - Feng Wang, Vincent K. N. Lau:
Dynamic RAT Selection and Transceiver Optimization for Mobile Edge Computing Over Multi-RAT Heterogeneous Networks. - Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhigang Chen:
Affective Decoding for Empathetic Response Generation. - Tilman Beck, Bela Bohlender, Christina Viehmann, Vincent Hane, Yanik Adamson, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Iryna Gurevych:
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters. - Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Boris Bellalta, Michail Matthaiou:
Electromagnetic Modeling of Holographic Intelligent Reflecting Surfaces at Terahertz Bands. - Ghodai Abdelrahman, Qing Wang:
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing. - Simon Eberle, Arnulf Jentzen, Adrian Riekert, Georg S. Weiss:
Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation. - Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry:
Image Collation: Matching illustrations in manuscripts. - Junjie H. Xu, Kohei Shinden, Makoto P. Kato:
Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models. - Junjie H. Xu, Zhou Fang, Qihang Chen, Satoru Ohno, Pujana Paliyawan:
Fighting Game Commentator with Pitch and Loudness Adjustment Utilizing Highlight Cues. - Tobias Zaenker, Chris Lehnert, Chris McCool, Maren Bennewitz:
Combining Local and Global Viewpoint Planning for Fruit Coverage. - Malte Splietker, Sven Behnke:
Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps. - Timotheus Kampik, Cleber Jorge Amaral, Jomi Fred Hübner:
Developer Operations and Engineering Multi-Agent Systems. - Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo:
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision. - Raja C. S. P. Raman, Rohith Mahadevan, Divya Perumal, Vedha Sankar, Talha Abdur Rahman:
Stack Index Prediction Using Time-Series Analysis. - Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu:
Target Adaptive Context Aggregation for Video Scene Graph Generation. - Javier Cabrera-Arteaga, Pierre Laperdrix, Martin Monperrus, Benoit Baudry:
Multi-Variant Execution at the Edge. - Rashmi Bakshi:
Hand Hygiene Video Classification Based on Deep Learning. - Pengfei Hou, Ying Jin, Yukang Chen:
Single-DARTS: Towards Stable Architecture Search. - Sebastian Hube, Marek Behr, Stefanie Elgeti, Malte Schön, Jana Sasse, Christian Hopmann:
Numerical Design of Distributive Mixing Elements. - Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. - Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T. Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran:
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability. - Ricardo Caldas, Razan Ghzouli, Alessandro V. Papadopoulos, Patrizio Pelliccione, Danny Weyns, Thorsten Berger:
Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns. - Markus D. Solbach, John K. Tsotsos:
Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested. - Robert Altmann, Balázs Kovács, Christoph Zimmer:
Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions. - Hongruixuan Chen, Chen Wu, Bo Du:
Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images. - Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. - Anna Kukleva, Hilde Kuehne, Bernt Schiele:
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. - Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. - Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu:
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. - Jingbo Tan, Linglong Dai:
Wideband Channel Estimation for THz Massive MIMO. - Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan:
Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods. - Ankan Mullick, Animesh Bera, Tapas Nayak:
RTE: A Tool for Annotating Relation Triplets from Text. - Taewoon Kim:
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections. - Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu:
ME-PCN: Point Completion Conditioned on Mask Emptiness. - Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu:
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search. - Jiankang Deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou:
Masked Face Recognition Challenge: The InsightFace Track Report. - Sai Mattapalli, Rishi Athavale:
ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells. - Davide Corradini, Amedeo Zampieri, Michele Pasqua, Mariano Ceccato:
Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs. - Peyman Rasouli, Ingrid Chieh Yu:
CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations. - Ajay Badita, Rooji Jinan, Balajee Vamanan, Parimal Parag:
Modeling Performance and Energy trade-offs in Online Data-Intensive Applications. - Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. - Nashwin Bharwani, Warren Kushner, Sangeet Dandona, Ben Schreiber:
SHAQ: Single Headed Attention with Quasi-Recurrence. - Davide Corradini, Amedeo Zampieri, Michele Pasqua, Mariano Ceccato:
Restats: A Test Coverage Tool for RESTful APIs. - Zhaoyang Jia, Han Fang, Weiming Zhang:
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression. - Yangdi Lu, Yang Bo, Wenbo He:
Confidence Adaptive Regularization for Deep Learning with Noisy Labels. - Yehao Li, Yingwei Pan, Jingwen Chen, Ting Yao, Tao Mei:
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics. - Jan Diers, Christian Pigorsch:
Out-of-Distribution Detection using Outlier Detection Methods. - Radostin Cholakov, Todor Kolev:
Transformers predicting the future. Applying attention in next-frame and time series forecasting. - Chao Zhang, Lifeng Wang, Zhijun Shen, Zhiyuan Li, Igor Menshov:
A reduced model for compressible viscous heat-conducting multicomponent flows. - Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko:
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. - Tom Hinrichs, Greg Dunham, Kenneth D. Forbus:
Analogical Learning in Tactical Decision Games. - Oswaldo Cadenas, Graham M. Megson:
Non-uniform quantization with linear average-case computation time. - Yong Qi, Yanping Li, Huawei Lin, Jiashu Chen, Huaiguang Lei:
Research on Gender-related Fingerprint Features. - Fausto Giunchiglia, Marcelo Rodas Britez, Andrea Bontempelli, Xiaoyue Li:
Streaming and Learning the Personal Context. - Gopakumar Sreya, S. Saigadha, Praful D. Mankar, Goutam Das, Harpreet S. Dhillon:
Adaptive Rate NOMA for Cellular IoT Networks. - Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi:
LOKI: Long Term and Key Intentions for Trajectory Prediction. - Qianqian Zhang, Walid Saad:
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks. - Vishnu Kumar, Saharsh Agarwal, Rama Vadapalli, Nagamanikandan Govindan, Madhava Krishna:
Design and Analysis of Modular Pipe Climber-III with a Multi-Output Differential Mechanism. - Chen Li, Schyler C. Sun, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo:
Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space. - Di Fang, Albert Tres:
Observable Error Bounds of the Time-splitting Scheme for Quantum-Classical Molecular Dynamics. - Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhoutong Fu, Huiji Gao, Jun Jia, Liang Zhang, Bo Long:
Deep Natural Language Processing for LinkedIn Search Systems. - Linan Huang, Quanyan Zhu:
Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability. - Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. - Rui Yu, Zihan Zhou:
Towards Robust Human Trajectory Prediction in Raw Videos. - Natasha Alkhatib, Hadi Ghauch, Jean-Luc Danger:
SOME/IP Intrusion Detection using Deep Learning-based Sequential Models in Automotive Ethernet Networks. - Tianhan Lu, Bor-Yuh Evan Chang, Ashutosh Trivedi:
Selectively-Amortized Resource Bounding. - Benjamin Fitzpatrick, Xinyu "Sherwin" Liang, Jeremy Straub:
Fake News and Phishing Detection Using a Machine Learning Trained Expert System. - Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. - Aleksandra B. Slavkovic, Roberto Molinari:
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy. - Solomiia Fedushko, Liubov Shevchuk, Anastasiia Poritska, Ruslan Kravets, Oksana Tymovchak-Maksymets:
E-Commerce and E-Health Strategies and Implementation Activities in the United Kingdom: Review Study. - Federico Matteo Bencic, Ivana Podnar Zarko:
Aurora: a probabilistic algorithm for distributed ledgers enabling trustless synchronization and transaction inclusion verification. - Arpit Nama, Amaya Dharmasiri, Kanchana Thilakarathna, Albert Y. Zomaya, Jaybie Agullo de Guzman:
User configurable 3D object regeneration for spatial privacy. - Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Yingxu Wang:
TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing. - Pengcheng Jiang, Kenji Tei:
OACAL: Finding Module-consistent Specifications to Secure Systems from Weakened User Obligations. - Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black:
Stochastic Scene-Aware Motion Prediction. - Vasyl Ustimenko:
On computations with Double Schubert Automaton and stable maps of Multivariate Cryptography. - Anand Balakrishnan, Jyotirmoy Deshmukh, Bardh Hoxha, Tomoya Yamaguchi, Georgios Fainekos:
PerceMon: Online Monitoring for Perception Systems. - Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, Marc Pollefeys:
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement. - Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Ali Nematollahi, Roohallah Alizadehsani, Edris Hassannataj, Amir Mosavi:
GSVMA: A Genetic-Support Vector Machine-Anova method for CAD diagnosis based on Z-Alizadeh Sani dataset. - Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna:
AIRCHITECT: Learning Custom Architecture Design and Mapping Space. - Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang:
Deep Contrastive Learning for Multi-View Network Embedding. - Yao Zhang, Peiyao Li, Hongru Liang, Adam Jatowt, Zhenglu Yang:
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs. - Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao:
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. - Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. - Chung-Yi Lin, Hung-Ting Su, Shen-Lung Tung, Winston H. Hsu:
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic. - Pierre-Yves Lajoie, Benjamin Ramtoula, Fang Wu, Giovanni Beltrame:
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape. - Mingchao Cai, Guoliang Ju, Jingzhi Li:
Schur complement based preconditioners for twofold and block tridiagonal saddle point problems. - Frederico Schardong, Ricardo Felipe Custódio:
Self-Sovereign Identity: A Systematic Map and Review. - Alif Ashrafee, Akib Mohammed Khan, Mohammad Sabik Irbaz, M. D. Abdullah Al Nasim:
End-to-End License Plate Recognition Pipeline for Real-time Low Resource Video Based Applications. - Haoran Peng, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin:
The Multi-Modal Video Reasoning and Analyzing Competition. - Farid Naghavi, Shrikesh Sheshaprasad, Matthew C. Gardner, Aghamarshana Meduri, HeonYong Kang, Hamid A. Toliyat:
Permanent Magnet Linear Generator Design for Surface Riding Wave Energy Converters. - Zhaonan Dong, Alexandre Ern:
Hybrid high-order method for singularly perturbed fourth-order problems on curved domains. - Jim Hahn:
Publisher References in Bibliographic Entity Descriptions. - Xu Li, Hongxing Rui:
An EMA-balancing, pressure-robust and Re-semi-robust reconstruction method for unsteady incompressible Navier-Stokes equations. - Soumava Paul, Titir Dutta, Soma Biswas:
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains. - Jiuyu Liu, Yi Ma, Jinfei Wang, Na Yi, Songyan Xue, Rahim Tafazolli, Fan Wang:
A Non-Stationary Channel Model with Correlated NLoS/LoS States for ELAA-mMIMO. - Hasib Zunair, Yan Gobeil, Samuel Mercier, A. Ben Hamza:
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification. - Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek:
Social Fabric: Tubelet Compositions for Video Relation Detection. - Yan Di, Fabian Manhardt, Gu Wang, Xiangyang Ji, Nassir Navab, Federico Tombari:
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. - Abu Reyan Ahmed, Md Asadullah Turja, Faryad Darabi Sahneh, Mithun Ghosh, Keaton Hamm, Stephen G. Kobourov:
Computing Steiner Trees using Graph Neural Networks. - Rongjun Qin, Armin Gruen, Cive Fraser:
Quality assessment of image matchers for DSM generation - a comparative study based on UAV images. - Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, Soroush Vosoughi:
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. - Shuang Song, Zhaopeng Cui, Rongjun Qin:
Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility. - Iago Suárez, José Miguel Buenaposada, Luis Baumela:
Revisiting Binary Local Image Description for Resource Limited Devices. - Ali Karakus, Noel Chalmers, Tim Warburton:
A Local Discontinuous Galerkin Level Set Reinitialization with Subcell Stabilization on Unstructured Meshes. - Zachary Tauscher, Yushan Jiang, Kai Zhang, Jian Wang, Houbing Song:
Learning to Detect: A Data-driven Approach for Network Intrusion Detection. - Sina Gholamian, Paul A. S. Ward:
What Distributed Systems Say: A Study of Seven Spark Application Logs. - Joshua P. Powers, Ryan Grindle, Lapo Frati, Josh C. Bongard:
A good body is all you need: avoiding catastrophic interference via agent architecture search. - Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. - Kai Zhang, Yushan Jiang, Lee Seversky, Chengtao Xu, Dahai Liu, Houbing Song:
Federated Variational Learning for Anomaly Detection in Multivariate Time Series. - Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. - Cristina R. Ceja, Cindy Xiong:
Show or Tell? Visual and Verbal Representations Bias Position Recall. - Pavel Dolin, Luc d'Hauthuille, Andrea Vattani:
FeelsGoodMan: Inferring Semantics of Twitch Neologisms. - Andrea Sassella, Valentina Breschi, Simone Formentin:
Learning explicit predictive controllers: theory and applications. - Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva:
D3D-HOI: Dynamic 3D Human-Object Interactions from Videos. - Mingjun Yin, Shasha Li, Zikui Cai, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy:
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes. - Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. - Leopoldo E. Bertossi:
Second-Order Specifications and Quantifier Elimination for Consistent Query Answering in Databases. - Yuanze Lin, Xun Guo, Yan Lu:
Self-Supervised Video Representation Learning with Meta-Contrastive Network. - Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich:
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision. - Yang Yang, Zongliang Zhang, Yelin Feng:
A novel method in solving seepage problems implementation in Abaqus based on the polygonal scaled boundary finite element method. - Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. - Lei Wang, Romeo Ortega, Alexey A. Bobtsov, José Guadalupe Romero, Bowen Yi:
Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control. - Chaoyu Quan, Boyi Wang:
Energy Stable L2 Schemes for Time-Fractional Phase-Field Equations. - Shiv Sondhi, Sherif Saad, Kevin Shi, Mohammad Mamun, Issa Traoré:
Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains. - Guohao Peng, Yufeng Yue, Jun Zhang, Zhenyu Wu, Xiaoyu Tang, Danwei Wang:
Semantic Reinforced Attention Learning for Visual Place Recognition. - Shinji Imahori:
A 1+O(1/N) approximation algorithm for TTP(2). - Pan Xie, Zexian Li, Xiaohui Hu:
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation. - Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng:
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL. - Wenzhong Yan, Ankur Mehta:
A cut-and-fold self-sustained compliant oscillator for autonomous actuation of origami-inspired robots. - Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. - Hamsa Bastani, Osbert Bastani, Wichinpong Park Sinchaisri:
Improving Human Decision-Making with Machine Learning. - François Gauthier, Behnaz Hassanshahi, Benjamin Selwyn-Smith, Trong Nhan Mai, Max Schlüter, Micah Williams:
BackREST: A Model-Based Feedback-Driven Greybox Fuzzer for Web Applications. - Dunjie Zhang, Jinyin Chen:
Blockchain Phishing Scam Detection via Multi-channel Graph Classification. - Wei Zhang, Wee Peng Tay:
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. - Steven Snyder, Pan Zhao, Naira Hovakimyan:
L1 Adaptive Control for Learn-to-Fly. - Yong Zhao, Pengcheng Zhao, Shibiao Xu, Lin Chen, Pengcheng Han, Shuhui Bu, Hongkai Jiang:
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages. - Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. - M. Ridwanur Rahman, Ahmad Salehi Shahraki, Carsten Rudolph:
Decentralized Policy Information Points for Multi-Domain Environments. - Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Trends in Neural Architecture Search: Towards the Acceleration of Search. - Damian Marriott, Kimberly Ferguson-Walter, Sunny Fugate, Marco Carvalho:
Proceedings of the 1st International Workshop on Adaptive Cyber Defense. - Kyle Lennon, Katharina Fransen, Alexander O'Brien, Yumeng Melody Cao, Matthew Beveridge, Yamin Arefeen, Nikhil Singh, Iddo Drori:
Image2Lego: Customized LEGO Set Generation from Images. - Fang Zhao, Wenhao Wang, Shengcai Liao, Ling Shao:
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction. - Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Learning Maps Between Function Spaces. - Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang:
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection. - A. K. M. Nuhil Mehdy, Hoda Mehrpouyan:
A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection. - Ruibo Liu, Jason Wei, Soroush Vosoughi:
Language Model Augmented Relevance Score. - Jinyu Wang, Minquan Cheng, Kai Wan, Giuseppe Caire:
Novel Frameworks for Coded Caching via Cartesian Product with Reduced Subpacketization. - Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. - Tanhao Zhang, Luyin Hu, Lu Li, David Navarro-Alarcon:
Towards a Multispectral RGB-IR-UV-D Vision System - Seeing the Invisible in 3D. - David Navarro-Alarcon, Luiza Labazanova, Man Kiu Chow, Kwun Wang Ng, Derek Kwok:
Can a Tesla Turbine be Utilised as a Non-Magnetic Actuator for MRI-Guided Robotic Interventions? - Ananth Krishna Prasad, Mahdi Nazm Bojnordi:
Monarch: A Durable Polymorphic Memory For Data Intensive Applications. - Runzhe Han, Christian Bohn, Georg Bauer:
Blind Identification of State-Space Models in Physical Coordinates. - Sunwoong Yang, Sanga Lee, Kwanjung Yee:
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil. - Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. - Lei Liu, Shansuo Liang, Li Ping:
Capacity Optimality of OAMP: Beyond IID Sensing Matrices and Gaussian Signaling. - Yunliang Chen, Jungseock Joo:
Understanding and Mitigating Annotation Bias in Facial Expression Recognition. - Shengyao Zhuang, Guido Zuccon:
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion. - Yuhao Zhou, Huanhuan Fan, Shuang Gao, Yuchen Yang, Xudong Zhang, Jijunnan Li, Yandong Guo:
Retrieval and Localization with Observation Constraints. - Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin:
Few-shot Segmentation with Optimal Transport Matching and Message Flow. - Zhe Shen, Yudong Ma, Takeshi Tsuchiya:
Quad-cone-rotor: A Novel Tilt Quadrotor with Severe-fault-tolerant Ability. - Mengjie Liu, Jian Li, Hancheng Lu:
Routing in Small Satellite Networks: A GNN-based Learning Approach. - Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram:
Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. - Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji:
An Information Theory-inspired Strategy for Automatic Network Pruning. - Hafiz Majid Hussain, Ashfaq Ahmad, Arun Narayanan, Pedro H. J. Nardelli, Yongheng Yang:
Packetized Energy Management Controller for Residential Consumers. - Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. - Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. - Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. - Jelle Hellings, Mohammad Sadoghi:
Byzantine Cluster-Sending in Expected Constant Communication. - David Schnörr, Christoph Schnörr:
Learning System Parameters from Turing Patterns. - Christoph Stanik, Tim Pietz, Walid Maalej:
Unsupervised Topic Discovery in User Comments. - Zhouchun Huang, Qipeng P. Zheng, Andrew L. Liu:
A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. - Slim Bettaieb, Loïc Bidoux, Olivier Blazy, Baptiste Cottier, David Pointcheval:
Secure Decision Forest Evaluation. - Karthik Puranik, Adeep Hande, Ruba Priyadharshini, Thenmozhi Durairaj, Anbukkarasi Sampath, Kingston Pal Thamburaj, Bharathi Raja Chakravarthi:
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021. - Nicola Garau, Niccoló Bisagno, Piotr Bródka, Nicola Conci:
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. - Loukas Georgiadis, Giuseppe F. Italiano, Evangelos Kosinas:
Improved Linear-Time Algorithm for Computing the 4-Edge-Connected Components of a Graph. - Florian Merkle, Maximilian Samsinger, Pascal Schöttle:
Pruning in the Face of Adversaries. - Anjan Dutta, Massimiliano Mancini, Zeynep Akata:
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. - Xinwei Shen, Sunwei Li, Hongke Li:
Large-scale Offshore Wind Farm Electrical Collector System Planning: A Mixed-Integer Linear Programming Approach. - Tarek Frahi, Abel Sancarlos, Matthieu Galle, Xavier Beaulieu, Anne Chambard, Antonio Falcó, Elías Cueto, Francisco Chinesta:
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis. - Boying Li, Yuan Huang, Zeyu Liu, Danping Zou, Wenxian Yu:
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation. - Zirui Zhu, Ziyi Ye:
Towards More Efficient Federated Learning with Better Optimization Objects. - Katja Tuma, Sven Peldszus, Daniel Strüber, Riccardo Scandariato, Jan Jürjens:
Checking Security Compliance between Models and Code. - Laurent Chuat, Cyrill Krähenbühl, Prateek Mittal, Adrian Perrig:
F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure. - Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Exploiting Scene Graphs for Human-Object Interaction Detection. - Qian Ye, Jun Xiao, Kin-Man Lam, Takayuki Okatani:
Progressive and Selective Fusion Network for High Dynamic Range Imaging. - Reiner Jung, Sven Gundlach, Wilhelm Hasselbring:
Software Development Processes in Ocean System Modeling. - Shun Yao, Fei Yang, Yongmei Cheng, Mikhail G. Mozerov:
3D Shapes Local Geometry Codes Learning with SDF. - Seogkyu Jeon, Kibeom Hong, Pilhyeon Lee, Jewook Lee, Hyeran Byun:
Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization. - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Efficient Contextualization using Top-k Operators for Question Answering over Knowledge Graphs. - Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Semantic Compositional Learning for Low-shot Scene Graph Generation. - Alexander Becker, Gabriele Kern-Isberner, Kai Sauerwald, Christoph Beierle:
Forgetting Formulas and Signature Elements in Epistemic States. - Junna Zhang, Shuisheng Zhou, Cui Fu, Zhuan Zhang:
Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression. - J.-M. Chauvet:
Prof. Schönhage's Mysterious Machines. - Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang:
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration. - Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang:
Settling the Variance of Multi-Agent Policy Gradients. - Philip Bille, Inge Li Gørtz, Shay Mozes, Teresa Anna Steiner, Oren Weimann:
A Conditional Lower Bound for Episode Matching. - Soumajit Pramanik, Jesujoba Alabi, Rishiraj Saha Roy, Gerhard Weikum:
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text. - Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst:
Probability Estimation of Uncertain Process Trace Realizations. - Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti:
Spatially-Adaptive Image Restoration using Distortion-Guided Networks. - Dev Akre, Nuh Aydin, Matthew J. Harrington, Saurav R. Pandey:
A Generalization of Cyclic Code Equivalence Algorithm to Constacyclic Codes. - Hao Dong, Xieyuanli Chen, Cyrill Stachniss:
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. - Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon:
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. - Sarah Abdelwahab Gaballah, Christoph Coijanovic, Thorsten Strufe, Max Mühlhäuser:
2PPS - Publish/Subscribe with Provable Privacy. - Sagar Dasgupta, Courtland Hollis, Mizanur Rahman, Travis Atkison:
An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller. - Ning Wang, Guangming Zhu, Liang Zhang, Peiyi Shen, Hongsheng Li, Cong Hua:
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition. - (Withdrawn) Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework.
- Frederik Wolf, Philipp Lorenz-Spreen, Sune Lehmann:
Successive cohorts of Twitter users show increasing activity and shrinking content horizons. - Michael C. Welle, Petra Poklukar, Danica Kragic:
Batch Curation for Unsupervised Contrastive Representation Learning. - (Withdrawn) Multi-Center Federated Learning.
- Boniface Nkonga, Praveen Chandrashekar:
An exact Riemann solver for a shear shallow water model. - Mohsen Yavartanoo, Jaeyoung Chung, Reyhaneh Neshatavar, Kyoung Mu Lee:
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces. - Ziheng Wang, Justin A. Sirignano:
Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning. - Serdar Metin, Can C. Özturan:
Max-min Fairness Based Faucet Design for Blockchains. - Johannes Diwold, Bernd Kolar, Markus Schöberl:
Discrete-time Flatness-based Control of a Gantry Crane. - Yiwei Chen, Yu Pan, Daoyi Dong:
Residual Tensor Train: a Flexible and Efficient Approach for Learning Multiple Multilinear Correlations. - Harsh M. Patel, Shivam Sahni, Pushkar Mujumdar:
Trust as a Metric for Resiliency in Signed Social Networks. - Zhe Shen, Takeshi Tsuchiya:
The Pareto-frontier-based Stiffness of A Controller: Trade-off between Trajectory Plan and Controller Design. - Kaifeng Gao, Long Chen, Yifeng Huang, Jun Xiao:
Video Relation Detection via Tracklet based Visual Transformer. - Stephanie Soldavini, Christian Pilato:
A Survey on Domain-Specific Memory Architectures. - Ansheng You, Chenglin Zhou, Qixuan Zhang, Lan Xu:
Towards Controllable and Photorealistic Region-wise Image Manipulation. - Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. - Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Federated Learning for non-Convex Loss Functions. - Megan Ma, Bryan Wilson:
The Legislative Recipe: Syntax for Machine-Readable Legislation. - Alexander Barg, Zitan Chen, Itzhak Tamo:
A construction of maximally recoverable codes. - Mohsen Barforooshan, Masaaki Nagahara, Jan Østergaard:
Sparse Packetized Predictive Control of Disturbed Plants Over Channels with Data Loss. - Emanuel Q. Vintila, Philipp Zieris, Julian Horsch:
MESH: A Memory-Efficient Safe Heap for C/C++. - David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski:
On the Future of Cloud Engineering. - Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi:
Contrastive Language-Image Pre-training for the Italian Language. - Yilin Liao, Hao Wang, Zhaoran Liu, Haozhe Li, Xinggao Liu:
Analyze and Design Network Architectures by Recursion Formulas. - Yongjian Xu, Yu Chen:
A Cuckoo Quantum Evolutionary Algorithm for the Graph Coloring Problem. - Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan:
Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables. - Gerrit Holtrup, William Lacube, Dimitri Percia David, Alain Mermoud, Gérôme Bovet, Vincent Lenders:
5G System Security Analysis. - Armin Salimi-Badr:
IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation. - Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte:
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data. - Jakub Sido, Michal Seják, Ondrej Prazák, Miloslav Konopík, Václav Moravec:
Czech News Dataset for Semantic Textual Similarity. - Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen:
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. - Matias Valdenegro-Toro:
Teaching Uncertainty Quantification in Machine Learning through Use Cases. - Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger:
How to cheat with metrics in single-image HDR reconstruction. - Irina E. Bocharova, Boris D. Kudryashov, Evgenii P. Ovsyannikov, Vitaly Skachek:
NB QC-LDPC Coded QAM Signals with Optimized Mapping: Bounds and Simulation Results. - Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Temporal Graph Functional Dependencies - Technical Report. - Tilman Krokotsch, Mirko Knaak, Clemens Gühmann:
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision. - Pieter Cawood, Terence L. van Zyl:
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves. - Shmuel Berman, Mark Santolucito:
Programming-By-Example by Programming-By-Example: Synthesis of Looping Programs. - Salman Omar Sohail, Alex Mitrevski, Nico Hochgeschwender, Paul G. Plöger:
Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation. - Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. - Hossein S. Aghamiry, Ali Gholami, Laure Combe, Stéphane Operto:
Accurate 3D frequency-domain seismic wave modeling with the wavelength-adaptive 27-point finite-difference stencil: a tool for full waveform inversion. - Ilie Sarpe, Fabio Vandin:
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks. - Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin:
SiReN: Sign-Aware Recommendation Using Graph Neural Networks. - Pablo Gill Estevez, Pablo Marchi, Francisco Messina, Cecilia G. Galarza:
Forced Oscillation Identification and Filtering from Multi-Channel Time-Frequency Representation. - Steven de Jongh, Sina Steinle, Anna Hlawatsch, Felicitas Mueller, Michael Suriyah, Thomas Leibfried:
Neural Predictive Control for the Optimization of Smart Grid Flexibility Schedules. - Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub:
FSNet: A Failure Detection Framework for Semantic Segmentation. - Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev:
Temporal Graph Network Embedding with Causal Anonymous Walks Representations. - Jiaze Wang, Kai Chen, Qi Dou:
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks. - Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. - Kushal Chauhan, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan:
Efficient remedies for outlier detection with variational autoencoders. - Tobias Huber, Silvan Mertes, Stanislava Rangelova, Simon Flutura, Elisabeth André:
Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation. - Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Threshold Phenomena in Learning Halfspaces with Massart Noise. - Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. - Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar:
Learning-to-learn non-convex piecewise-Lipschitz functions. - Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, Long Quan:
Learning to Match Features with Seeded Graph Matching Network. - Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. - Kaan Gökcesu, Hakan Gökcesu:
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error. - Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. - Sravya Vardhani Shivapuja, Mansi Pradeep Khamkar, Divij Bajaj, Ganesh Ramakrishnan, Ravi Kiran Sarvadevabhatla:
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting. - Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin:
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. - Tsang-Kai Chang, Kenny Chen, Ankur Mehta:
Resilient and consistent multirobot cooperative localization with covariance intersection. - Vignesh Nanda Kumar, Narayanan Unny Edakunni:
Simple is better: Making Decision Trees faster using random sampling. - Harsh M. Patel, Amey Kulkarni, Shivam Sahni, Udit Vyas:
Image Inpainting using Partial Convolution. - Aman Goel, Karem A. Sakallah:
Towards an Automatic Proof of Lamport's Paxos. - Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh, Ashlyn A. Callan, Eli Rice, Yuzhe Liu, Zhou Zhou, Michael Zeineh, David B. Camarillo:
Physics-informed machine learning improves detection of head impacts. - Roberto Assis Machado, Rafael G. L. D'Oliveira, Salim El Rouayheb, Daniel Heinlein:
Field Trace Polynomial Codes for Secure Distributed Matrix Multiplication. - Uriel Singer, Kira Radinsky:
EqGNN: Equalized Node Opportunity in Graphs. - Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir:
Lifelong Computing. - Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll:
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing. - Rylan Perumal, Terence L. van Zyl:
Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model). - Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
Do Vision Transformers See Like Convolutional Neural Networks? - Andrea Zanette, Martin J. Wainwright, Emma Brunskill:
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning. - Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière:
Click to Move: Controlling Video Generation with Sparse Motion. - Cesar Alberto Rosales-Alcantar, Gerardo Hernández-Dueñas:
A new two-dimensional blood flow model with arbitrary cross sections. - Shandong Lao, Aaron Holt, Deepthi Vaidhynathan, Hariswaran Sitaraman, Christine M. Hrenya, Thomas Hauser:
Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs. - Fabrizio Grandoni, Chris Schwiegelshohn, Shay Solomon, Amitai Uzrad:
Maintaining an EDCS in General Graphs: Simpler, Density-Sensitive and with Worst-Case Time Bounds. - Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan:
Towards Vivid and Diverse Image Colorization with Generative Color Prior. - Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer:
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. - Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo:
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. - Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe:
Multi-Object Tracking with Hallucinated and Unlabeled Videos. - Jonne Iso-Tuisku, Antti Kuusisto:
Description logics as polyadic modal logics. - Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou:
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. - Helisa Dhamo, Fabian Manhardt, Nassir Navab, Federico Tombari:
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs. - Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation. - Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets from Bandit Feedback. - Rishabh Dabral, Soshi Shimada, Arjun Jain, Christian Theobalt, Vladislav Golyanik:
Gravity-Aware Monocular 3D Human-Object Reconstruction. - Romit Maulik, Gianmarco Mengaldo:
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. - Longbing Cao, Chengzhang Zhu:
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. - Jacob D. Baron, R. W. R. Darling, J. Laylon Davis, R. Pettit:
Partitioned K-nearest neighbor local depth for scalable comparison-based learning. - Satvik Garg, Pradyumn Pundir:
MOFit: A Framework to reduce Obesity using Machine learning and IoT. - Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky, Uriel Singer:
Topo2vec: Topography Embedding Using the Fractal Effect. - Zu Kim, André Araújo, Bingyi Cao, Cam Askew, Jack Sim, Mike Green, N'Mah Fodiatu Yilla, Tobias Weyand:
Towards A Fairer Landmark Recognition Dataset. - Rafal Potempa, Sebastian Porebski:
Comparing concepts of quantum and classical neural network models for image classification task. - Jianing Song, Duarte Rondao, Nabil Aouf:
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey. - Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang:
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. - Sebastian Köhler, Richard Baker, Ivan Martinovic:
Signal Injection Attacks against CCD Image Sensors. - Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan:
A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations. - Mingren Shen, Guanzhao Li, Dongxia Wu, Yuhan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan:
Multi defect detection and analysis of electron microscopy images with deep learning. - Gianpiero Pescarmona, Pietro Terna, Alberto Acquadro, Paolo Pescarmona, Giuseppe Russo, Emilio Sulis, Stefano Terna:
An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies. - Lachezar Filchev, Lyubka Pashova, Vasil Kolev, Stuart Frye:
Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era. - Heyuan Liu, Paul Grigas:
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method. - Zihang Meng, Vikas Singh, Sathya N. Ravi:
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. - Thai-Thanh Nguyen, Tuyen Vu, Thomas Ortmeyer, George Stefopoulos, Greg Pedrick, Jason MacDowell:
Real-time Transient Simulation and Studies of Offshore Wind Turbines. - Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. - Sezal Chug, Priya Kaushal, Ponnurangam Kumaraguru, Tavpritesh Sethi:
Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring. - Xiaoxiao Liu, Mohammad Alharbi, Joe Best, Jian Chen, Alexandra Diehl, Elif E. Firat, Dylan Rees, Qiru Wang, Robert S. Laramee:
Visualization Resources: A Starting Point. - Shinhoo Kang, Emil M. Constantinescu:
Entropy-Preserving and Entropy-Stable Relaxation IMEX and Multirate Time-Stepping Methods. - Angel Ayala, Francisco Cruz, Bruno J. T. Fernandes, Richard Dazeley:
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task. - Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. - Vaibhav Vavilala, David A. Forsyth:
Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off. - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier:
CenterPoly: real-time instance segmentation using bounding polygons. - Ganesh Subramaniam, Huan Chen, Ravi Varadhan, Robert Archibald:
Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic. - Anirban Das, Shiqiang Wang, Stacy Patterson:
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. - Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman:
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. - Alaa Khalifa, Gianluca Palli:
Symplectic Integration for Multivariate Dynamic Spline-Based Model of Deformable Linear Objects. - Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem:
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. - Sara N. Pollock, Leo G. Rebholz, Duygu Vargun:
An efficient nonlinear solver and convergence analysis for a viscoplastic flow model. - Shayan Fazeli, Majid Sarrafzadeh:
A Framework for Neural Topic Modeling of Text Corpora. - David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák:
Regstar: Efficient Strategy Synthesis for Adversarial Patrolling Games. - Sifat Chowdhury, Kai Zhu, Yu Zhang:
Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction. - Abdullah Almethen, Othon Michail, Igor Potapov:
Distributed Transformations of Hamiltonian Shapes based on Line Moves. - Xiaopeng Lu, Lynnette Hui Xian Ng, Jared Fernandez, Hao Zhu:
CIGLI: Conditional Image Generation from Language & Image. - Tri Huynh, Aiden Nibali, Zhen He:
Semi-supervised learning for medical image classification using imbalanced training data. - Weikun Zhen, Huai Yu, Yaoyu Hu, Sebastian A. Scherer:
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics. - Tristan Goodwill, Michael O'Neil:
On the numerical solution of the Laplace-Beltrami problem on piecewise-smooth surfaces. - Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Plug and Play, Model-Based Reinforcement Learning. - Boya Hou, Subhonmesh Bose, Lavanya Marla, Kiruba S. Haran:
Impact of Aviation Electrification on Airports: Flight Scheduling and Charging. - Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rosé:
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling. - Yuanzhe Jin, Neelanshi Varia, Chixiang Wang:
The Importance of Autonomous Driving Using 5G Technology. - Kamyar Moshksar:
On Interference Channels with Gradual Data Arrival. - Taiga Ono, Takeshi Sugawara, Jun Sakuma, Tatsuya Mori:
Application of Adversarial Examples to Physical ECG Signals. - Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively Scaled Adversarial Training in Time Series. - Zecheng He, Ruby B. Lee:
CloudShield: Real-time Anomaly Detection in the Cloud. - Luke Evans, Maria K. Cameron, Pratyush Tiwary:
Computing committors in collective variables via Mahalanobis diffusion maps. - Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He:
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? - Haihan Duan, Jiaye Li, Sizheng Fan, Zhonghao Lin, Xiao Wu, Wei Cai:
Metaverse for Social Good: A University Campus Prototype. - Clément L. Canonne, Hongyi Lyu:
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster. - Tunazzina Islam, Dan Goldwasser:
Twitter User Representation using Weakly Supervised Graph Embedding. - Neeraj Kumar, Siddhansh Narang:
Few Shot Activity Recognition Using Variational Inference. - Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan:
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization. - Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa:
Weakly-supervised Joint Anomaly Detection and Classification. - Kyoungkook Kang, Seongtae Kim, Sunghyun Cho:
GAN Inversion for Out-of-Range Images with Geometric Transformations. - Lin William Cong, Ke Tang, Jingyuan Wang, Yang Zhang:
Deep Sequence Modeling: Development and Applications in Asset Pricing. - Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee:
Deep Virtual Markers for Articulated 3D Shapes. - Richard Dazeley, Peter Vamplew, Francisco Cruz:
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey. - Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee:
Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera. - Nivedita Arora, Ali Mirzazadeh, Injoo Moon, Charles Ramey, Yuhui Zhao, Daniela C. Rodriguez, Gregory D. Abowd, Thad E. Starner:
MARS: Nano-Power Battery-free Wireless Interfaces for Touch, Swipe and Speech Input. - Ilya Vorobyev:
Complete Traceability Multimedia Fingerprinting Codes Resistant to Averaging Attack and Adversarial Noise with Optimal Rate. - Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas:
Dual Projection Generative Adversarial Networks for Conditional Image Generation. - Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang:
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection. - Maocheng Li, Jiachuan Wang, Libin Zheng, Han Wu, Peng Cheng, Lei Chen, Xuemin Lin:
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server. - Zhipeng Cai, Ozan Sener, Vladlen Koltun:
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. - Mingjia Yang, Yu-Xiao Guo, Bin Zhou, Xin Tong:
Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images. - Zhengyong Wang, Liquan Shen, Mei Yu, Yufei Lin, Qiuyu Zhu:
Single Underwater Image Enhancement Using an Analysis-Synthesis Network. - Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang:
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. - Chaouki Ben Issaid, Sumudu Samarakoon, Mehdi Bennis, H. Vincent Poor:
Federated Distributionally Robust Optimization for Phase Configuration of RISs. - Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim:
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. - Ege Erdogan, Alptekin Küpçü, A. Ercüment Çiçek:
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning. - Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He:
AdvDrop: Adversarial Attack to DNNs by Dropping Information. - Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith:
Is it Time to Replace CNNs with Transformers for Medical Images? - Chanho Eom, Geon Lee, Junghyup Lee, Bumsub Ham:
Video-based Person Re-identification with Spatial and Temporal Memory Networks. - Shanqing Jiang, Lin Yang, Guang Cheng, Xianming Gao, Tao Feng, Yuyang Zhou:
A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network. - Yufei Xu, Jing Zhang, Dacheng Tao:
Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization. - Zidong Fang, Hua Shu, Ci Song, Jie Chen, Tianyu Liu, Xiaohan Liu, Tao Pei:
Identifying Aggregation Artery Architecture of constrained Origin-Destination flows using Manhattan L-function. - Ngurah Indra Er, Kamal Deep Singh, Christophe Couturier, Jean-Marie Bonnin:
Towards A Simple and Efficient VDTN Routing Protocol for Data Collection in Smart Cities. - Kaustubh Mani, Narasimhan Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
AutoLay: Benchmarking amodal layout estimation for autonomous driving. - Aman Attrish, Nagasai Bharat, Vijay Anand, Vivek Kanhangad:
A Contactless Fingerprint Recognition System. - Ege Erdogan, Alptekin Küpçü, A. Ercüment Çiçek:
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning. - Cephas Samende, Jun Cao, Zhong Fan:
Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints. - Xiying Yang, Guowei Hua, Linyuan Hu, T. C. E. Cheng, Tsan-Ming Choi:
Order assignment and picking station scheduling for multiple stations in KIVA warehouses. - Haoyue Zhao, Xin Guan, Qiang Li:
Estimation of Playable Piano Fingering by Pitch-difference Fingering Matching Model. - Yuwei Sun, Hideya Ochiai, Hiroshi Esaki:
Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks. - Fangqi Li, Shi-Lin Wang, Alan Wee-Chung Liew:
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects. - Kai Zhu, Jinhui Wang, Shunchuan Yang:
An Adaptive Interpolation Scheme for Wideband Frequency Sweep in Electromagnetic Simulations. - David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. - Roy Meissner, Claudia Ruhland, Katja Ihsberner:
Kompetenzerwerbsförderung durch E-Assessment: Individuelle Kompetenzerfassung am Beispiel des Fachs Mathematik. - Fabio Maschi, Gustavo Alonso, Anthony Hock-Koon, Nicolas Bondoux, Teddy Roy, Mourad Boudia, Matteo Casalino:
From Research to Proof-of-Concept: Analysis of a Deployment of FPGAs on a Commercial Search Engine. - Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu:
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. - Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng:
Structure-Preserving Deraining with Residue Channel Prior Guidance. - Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao:
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. - Armando Coco, Sven-Erik Ekström, Giovanni Russo, Stefano Serra-Capizzano, Santina Chiara Stissi:
Spectral and norm estimates for matrix sequences arising from a finite difference approximation of elliptic operators. - Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. - Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. - Gonzalo Nápoles, Lisa Koutsoviti Koumeri:
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets. - Javier Esparza, Mikhail A. Raskin, Christoph Welzel:
Abduction of trap invariants in parameterized systems. 1-17 - Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min:
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks. - Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. - Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid:
Airbert: In-domain Pretraining for Vision-and-Language Navigation. - Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee:
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions. - Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala:
Continual Learning for Image-Based Camera Localization. - Elazar Goldenberg, Aviad Rubinstein, Barna Saha:
Does Preprocessing help in Fast Sequence Comparisons? - Miguel Ángel Muñoz-Bañón, Edison Velasco-Sánchez, Francisco A. Candelas, Fernando Torres:
Path Planning With Naive-Valley-Path Obstacle Avoidance and Global Map-Free. - Maxwell Standen, Martin Lucas, David Bowman, Toby J. Richer, Junae Kim, Damian Marriott:
CybORG: A Gym for the Development of Autonomous Cyber Agents. - Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Honggang Zhang:
Semantic Communication with Adaptive Universal Transformer. - Stefan Wildhagen, Frank Allgöwer:
Uncertainties and output feedback in rollout event-triggered control. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. - Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu:
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. - Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Semi-supervised Network Embedding with Differentiable Deep Quantisation. - Naser Damer, Kiran B. Raja, Marius Süßmilch, Sushma Venkatesh, Fadi Boutros, Meiling Fang, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper:
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation. - Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan:
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks. - Oswin Krause, Torbjørn Rasmussen, Bertram Brovang, Anasua Chatterjee, Ferdinand Kuemmeth:
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays. - Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang:
Accelerating Federated Learning with a Global Biased Optimiser. - Chong Xiang, Saeed Mahloujifar, Prateek Mittal:
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. - Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Unsupervised Domain-adaptive Hash for Networks. - Rami Nasser, Yonina C. Eldar, Roded Sharan:
deep unfolding for non-negative matrix factorization with application to mutational signature analysis. - Luo Ji, Qin Qi, Bingqing Han, Hongxia Yang:
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. - Stéphane Cuenat, Raphaël Couturier:
Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography. - Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Group-based Distinctive Image Captioning with Memory Attention. - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. - Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal S. Kumarage:
User Localization Based on Call Detail Records. - Yoeri Poels, Vlado Menkovski:
VAE-CE: Visual Contrastive Explanation using Disentangled VAEs. - Tamás Dózsa, János Radó, János Volk, Ádám Kisari, Alexandros Soumelidis, Péter Kovács:
Abnormal Road Surface Detection Using Wheel Sensor Data. - Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. - Longkun Zou, Hui Tang, Ke Chen, Kui Jia:
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. - Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen:
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance. - Nariman Torkzaban, John S. Baras:
Controller Placement in SDN-enabled 5G Satellite-Terrestrial Networks. - Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. - Carlos Eduardo de Carvalho Dantas, Marcelo de Almeida Maia:
Readability and Understandability Scores for Snippet Assessment: an Exploratory Study. - Andrey Sheka, Victor Samun:
Knowledge Distillation from Ensemble of Offsets for Head Pose Estimation. - Joe Gildea, Adrian Korban, Adam Michael Roberts, Alexander Tylyshchak:
New binary self-dual codes of lengths 56, 62, 78, 92 and 94 from a bordered construction. - Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi:
Region-level Active Learning for Cluttered Scenes. - Hua Ma, Huming Qiu, Yansong Gao, Zhi Zhang, Alsharif Abuadbba, Anmin Fu, Said F. Al-Sarawi, Derek Abbott:
Quantization Backdoors to Deep Learning Models. - Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy:
Supervised Contrastive Learning for Interpretable Long Document Comparison. - Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. - Chenyang Lei, Yue Wu, Qifeng Chen:
Towards Photorealistic Colorization by Imagination. - Arezoo Soufi Karbaski, Taher Abualrub, Nuh Aydin, Peihan Liu:
Additive Polycyclic Codes over F4 Induced by Binary Vectors and Some Optimal Codes. - Mahdi Soltani, Behzad Ousat, Mahdi Jafari Siavoshani, Amir Hossein Jahangir:
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks. - Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs. - Tasmeen Zaman Ornee, Yin Sun:
Performance Bounds for Sampling and Remote Estimation of Gauss-Markov Processes over a Noisy Channel with Random Delay. - Irina Tolkova, Brian Chu, Marcel Hedman, Stefan Kahl, Holger Klinck:
Parsing Birdsong with Deep Audio Embeddings. - Antonio D'Innocente:
Exploring Data Aggregation and Transformations to Generalize across Visual Domains. - Kevin Lybarger, Aashka Damani, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model. - Tomoyuki Suzuki, Antonio Tejero-de-Pablos:
Video Ads Content Structuring by Combining Scene Confidence Prediction and Tagging. - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. - Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma:
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis. - Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. - Patrick Müller, Krishna Narasimhan, Mira Mezini:
Fex: Assisted Identification of Domain Features from C Programs. - Calvin Deutschbein:
Mining Secure Behavior of Hardware Designs. - Matthew Connor, Othon Michail, Igor Potapov:
Centralised Connectivity-Preserving Transformations for Programmable Matter: A Minimal Seed Approach. - Kamyar Nasiri, Kamaledin Ghiasi-Shirazi:
PowerLinear Activation Functions with application to the first layer of CNNs. - Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang:
Practical and Fast Momentum-Based Power Methods. - Shantanu Gupta, Zachary C. Lipton, David Childers:
Efficient Online Estimation of Causal Effects by Deciding What to Observe. - Reiner Czerwinski:
Separation of P and NP. - Nahid Esmati, Anoosheh Heidarzadeh:
Multi-Server Private Linear Computation with Joint and Individual Privacy Guarantees. - Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé:
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. - Mandana Mazaheri, Gregory Kiar, Tristan Glatard:
A Recommender System for Scientific Datasets and Analysis Pipelines. - Ismail Ali Afrah, Utku Kose:
MHealth: An Artificial Intelligence Oriented Mobile Application for Personal Healthcare Support. - Stefan Hoffmann:
The n-ary Initial Literal and Literal Shuffle. - Jake Sparkman, Abdalla Al-Ayrot, Utkarsh Contractor:
Zoom, Enhance! Measuring Surveillance GAN Up-sampling. - Mark York, Munther A. Dahleh, David C. Parkes:
Eliciting Social Knowledge for Creditworthiness Assessment. - Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao:
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach. - Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri:
An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions. - Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. - Yuzhi Liang, Weijing Wu, Kai Lei, Feiyang Wang:
Data-driven Smart Ponzi Scheme Detection. - Alexandre Heuillet, Hedi Tabia, Hichem Arioui, Kamal Youcef-Toumi:
D-DARTS: Distributed Differentiable Architecture Search. - Jiawei Chen, Chiu Man Ho:
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition. - Anh Mac, David Perkins:
Wave Function Collapse Coloring: A New Heuristic for Fast Vertex Coloring. - Zhuoming Liu, Hao Ding, Huaping Zhong, Weijia Li, Jifeng Dai, Conghui He:
Influence Selection for Active Learning. - Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda:
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. - Grzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Jens Eirik Saethre, André Gaillard, Timo Schneider, Maciej Besta, Anton Kozhevnikov, Joost VandeVondele, Torsten Hoefler:
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations. - William J. Layton, Wenlong Pei, Catalin Trenchea:
Refactorization of a variable step, unconditionally stable method of Dahlquist, Liniger and Nevanlinna. - Zarin Tasnim Sandhie, Farid Uddin Ahmed, Masud H. Chowdhury:
Design of Novel 3T Ternary DRAM with Single Word-Line using CNTFET. - Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto:
Early-exit deep neural networks for distorted images: providing an efficient edge offloading. - Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. - Yoji Yamato:
Power Reduction of Automatic Heterogeneous Device Offloading. - Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen:
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. - Elior Kalfon, Vinesha Peiris, Nir Sharon, Nadia Sukhorukova, Julien Ugon:
Flexible rational approximation for matrix functions. - Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park:
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. - Napoleon Costilla-Enriquez, Miguel Ortega-Vazquez, Aidan Tuohy, Amber Motley, Rebecca Webb:
Operating Dynamic Reserve Dimensioning Using Probabilistic Forecasts. - Ben Cameron, Aaron Grubb, Joe Sawada:
A Pivot Gray Code Listing for the Spanning Trees of the Fan Graph. - Nathan Fox, Carson Geissler:
On the Computational Complexities of Various Geography Variants. - Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. - Lauri Sintonen, Hannu Turtiainen, Andrei Costin, Timo Hämäläinen, Tuomo Lahtinen:
OSRM-CCTV: Open-source CCTV-aware routing and navigation system for privacy, anonymity and safety (Preprint). - Christiana Chamon, Laszlo B. Kish:
Nonlinearity Attack against the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Protocol. - (Withdrawn) InBiodiv-O: An Ontology for Indian Biodiversity Knowledge Management.
- Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol:
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. - Glauco A. Amigo, Justin Bui, Robert Jackson Marks:
Cascade Watchdog: A Multi-tiered Adversarial Guard for Outlier Detection. - Thomas Verelst, Tinne Tuytelaars:
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies. - Alexandre Morgand, Mohamed Tamaazousti, Adrien Bartoli:
A Multiple-View Geometric Model for Specularity Prediction on Non-Uniformly Curved Surfaces. - Xiangyu Qu, Stanley H. Chan:
Detecting and Segmenting Adversarial Graphics Patterns from Images. - Robert E. Mahony, Pieter van Goor, Tarek Hamel:
Observer Design for Nonlinear Systems with Equivariance. - Bayan Al-Nahhas, Qurrat-Ul-Ain Nadeem, Anas Chaaban:
Reconfigurable Intelligent Surface Aided Communications: Asymptotic Analysis under Imperfect CSI. - Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
Motion-resilient Heart Rate Monitoring with In-ear Microphones. - Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. - Andrew T. Kassen, Aaron Barrett, Varun Shankar, Aaron L. Fogelson:
Immersed boundary simulations of cell-cell interactions in whole blood. - Bonaventure Chidube Molokwu, Shaon Bhatta Shuvo, Ziad Kobti, Anne W. Snowdon:
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres. - Joshua J. Daymude, Noble C. Harasha, Andréa W. Richa, Ryan Yiu:
Deadlock and Noise in Self-Organized Aggregation Without Computation. - Paolo Bova, Jonas Emanuel Müller, Benjamin Harack:
Safe Transformative AI via a Windfall Clause. - Lei Wang, Romeo Ortega, Alexei A. Bobtsov:
Observability is Sufficient for the Design of Globally Exponentially Convergent State Observers for State-affine Nonlinear Systems. - Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou:
Multi-scale Edge-based U-shape Network for Salient Object Detection. - Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. - Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. - Amir Karami, Spring B. Clark, Anderson Mackenzie, Dorathea Lee, Michael Zhu, Hannah R. Boyajieff, Bailey Goldschmidt:
2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter. - Mingyi Liu, Zhiying Tu, Yeqi Zhu, Xiaofei Xu, Zhongjie Wang, Quan Z. Sheng:
Data Correction and Evolution Analysis of the ProgrammableWeb Service Ecosystem. - Sandeep S. Kulkarni, Duong N. Nguyen:
Analyzing the Effect of Consistency Violation Faults in Self-Stabilizing Programs. - Zhao Song, David P. Woodruff, Zheng Yu, Lichen Zhang:
Fast Sketching of Polynomial Kernels of Polynomial Degree. - Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. - Zhao Hu, Nian Li, Xiangyong Zeng, Lisha Wang, Xiaohu Tang:
A subfield-based construction of optimal linear codes over finite fields. - Jiabao Gao, Mu Hu, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation. - Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj:
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. - Abhishek Trivedi, Ravi Kiran Sarvadevabhatla:
BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation. - Chen Zhao, Feng Chen, Bhavani Thuraisingham:
Fairness-Aware Online Meta-learning. - Prema Satish Sharan, Sowmya Aitha, Amandeep Kumar, Abhishek Trivedi, Aaron Augustine, Ravi Kiran Sarvadevabhatla:
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts. - Huai Chen, Renzhen Wang, Jieyu Li, Qing Peng, Deyu Meng, Lisheng Wang:
Unsupervised Local Discrimination for Medical Images. - Maryam Tebyani, Alex Spaeth, Nicholas Cramer, Mircea Teodorescu:
A Geometric Kinematic Model for Flexible Voxel-Based Robots. - Samira Ghodratnama:
Towards Personalized and Human-in-the-Loop Document Summarization. - Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. - Gouhei Tanaka, Tadayoshi Matsumori, Hiroaki Yoshida, Kazuyuki Aihara:
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics. - Yi-Ching Janet Huang, Yu-Ting Cheng, Rung-Huei Liang, Jane Yung-jen Hsu, Lin-Lin Chen:
Thing Constellation Visualizer: Exploring Emergent Relationships of Everyday Objects. - Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. - Rui Zhang, Jian Liu, Yuan Ding, Qingbiao Wu, Kui Ren:
"Adversarial Examples" for Proof-of-Learning. - Masahiro Nomura, Isao Ono:
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure. - Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. - Rohit Kundu, Hritam Basak, Akhil Koilada, Soham Chattopadhyay, Sukanta Chakraborty, Nibaran Das:
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification. - Lena Leitenmaier, Olof Runborg:
Heterogeneous multiscale methods for the Landau-Lifshitz equation. - Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao:
End2End Occluded Face Recognition by Masking Corrupted Features. - Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou:
Robust Ensembling Network for Unsupervised Domain Adaptation. - Tianyu Wu, Konrad Schindler, Cenek Albl:
3D Reconstruction from public webcams. - Nicola Pezzotti:
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl. - Ming Yan, Haiyang Xu, Chenliang Li, Bin Bi, Junfeng Tian, Min Gui, Wei Wang:
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training. - Jingwen Wang, Martin Rünz, Lourdes Agapito:
DSP-SLAM: Object Oriented SLAM with Deep Shape Priors. - Giuseppe Di Battista, Fabrizio Frati:
From Tutte to Floater and Gotsman: On the Resolution of Planar Straight-line Drawings and Morphs. - Lifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff:
CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements. - Hanna Abi Akl, Dominique Mariko, Hugues de Mazancourt:
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations. - Jonas Hübotter:
Implementation of Algorithms for Right-Sizing Data Centers. - Yichang Feng, Haiyun Zhang, Jin Wang, Guodong Lu:
Incrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning. - Jaisal Kothari, Ashay Srivastava:
Flikcer - A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis. - Charith Rajitha, Lakmali Piyarathne, Dilan Sachintha, Surangika Ranathunga:
Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment. - Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei:
Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution. - Paul Dixneuf, Fausto Errico, Mathias Glaus:
A computational study on imputation methods for missing environmental data. - Nazanin Shajoonnezhad, Amin Nikanjam:
A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data. - Changxin Mo, Weiyang Ding:
Perturbation analysis of third-order tensor eigenvalue problem based on tensor-tensor multiplication. - Tapas Nayak, Hwee Tou Ng:
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents. - Pouya Mehrannia, Shayan Shirahmad Gale Bagi, Behzad Moshiri, Otman Adam Al-Basir:
Deep Representation of Imbalanced Spatio-temporal Traffic Flow Data for Traffic Accident Detection. - Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh:
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends. - Caciano Machado, Renan R. S. dos Santos, Carla Merkle Westphall:
Hop-by-hop Accounting and Rewards for Packet dIspAtching. - Jiaming Mu, Binghui Wang, Qi Li, Kun Sun, Mingwei Xu, Zhuotao Liu:
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. - Harun Siljak:
Networks of Twin Peaks: the Dale Cooper Effect. - Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? - Qing Xia, Jeffrey W. Banks, William D. Henshaw, Alexander V. Kildishev, Gregor Kovacic, Ludmila J. Prokopeva, Donald W. Schwendeman:
High-order accurate schemes for Maxwell's equations with nonlinear active media and material interfaces. - Yiming Zhao, Xiao Zhang, Xinming Huang:
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation. - Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning. - Maryam Soleymani, Mahdi Bonyani, Hadi Mahami, Farnad Nasirzadeh:
Construction material classification on imbalanced datasets for construction monitoring automation using Vision Transformer (ViT) architecture. - Önder Askin, Tim Kutta, Holger Dette:
Statistical Quantification of Differential Privacy: A Local Approach. - Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy:
Term Interrelations and Trends in Software Engineering. - Sumit K. Mandal, Jie Tong, Raid Ayoub, Michael Kishinevsky, Ahmed Abousamra, Ümit Y. Ogras:
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration. - Oindrila Chatterjee, Shantanu Chakrabartty:
Using growth transform dynamical systems for spatio-temporal data sonification. - Diego Monteiro, Hai-Ning Liang, Xiaohang Tang, Pourang Irani:
Using Trajectory Compression Rate to Predict Changes in Cybersickness in Virtual Reality Games. - Mahender Kumar, Ruby Rani:
SAI-BA-IoMT: Secure AI-Based Blockchain-Assisted Internet of Medical Things Tool to Moderate the Outbreak of COVID-19 Crisis. - Paul Shen, Michael Herbst, Venkat Viswanathan:
Rotationally Equivariant Neural Operators for Learning Transformations on Tensor Fields (eg 3D Images and Vector Fields). - Daniel J. Sousa, Christopher Small:
Joint Characterization of Spatiotemporal Data Manifolds. - Mika Hämäläinen, Khalid Alnajjar, Niko Partanen:
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings. - Cenk Gündogan, Christian Amsüss, Thomas C. Schmidt, Matthias Wählisch:
Reliable Firmware Updates for the Information-Centric Internet of Things. - Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa:
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. - Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay:
Heterogeneous Graph Attention Networks for Learning Diverse Communication. - Harshil Bhatt, Pranesh G, Samarth Shankar, Shriyash Haralikar:
Wireless Sensor Networks for Optimisation of Search and Rescue Management in Floods. - Breno Bernard Nicolau de França, Paulo Sérgio Medeiros dos Santos, Santiago Matalonga:
Towards a Theory on Architecting for Continuous Deployment. - Berkay Kaplan, Jingyu Qian:
A Survey on Common Threats in npm and PyPi Registries. - Pulkit Verma, Siddharth Srivastava:
Learning Causal Models of Autonomous Agents using Interventions. - Ke Li:
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities. - Zhiyi Chen, Tong Lin:
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning. - Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai:
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. - Daniel Li, Thomas Chen, Albert Tung, Lydia B. Chilton:
Hierarchical Summarization for Longform Spoken Dialog. - Sayan Nag, Mayukh Bhattacharyya:
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function. - Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna:
Programmable FPGA-based Memory Controller. - Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition. - Lili Su, Quanquan C. Liu, Neha Narula:
The Power of Random Symmetry-Breaking in Nakamoto Consensus. - Songhua Li, Minming Li, Lingjie Duan, Victor C. S. Lee:
Online Ride-Hitching in UAV Travelling. - Ethan Burnett, Hanspeter Schaub:
Geometric Perspectives on Fundamental Solutions in the Linearized Satellite Relative Motion Problem. - Juan D. Pabon, Gustavo A. Cardona, Nestor I. Ospina, Juan M. Calderón, Eduardo Mojica-Nava:
Event-Triggered Control for Weight-Unbalanced Directed Networks. - Leitang Huang, Jinyu Wang, Minquan Cheng:
Coded Caching for Combination Networks with Multiaccess. - Kai-Hsun Chen, Huan-Ping Su, Wei-Chiu Chuang, Hung-Chang Hsiao, Wangda Tan, Zhankun Tang, Xun Liu, Yanbo Liang, Wen-Chih Lo, Wanqiang Ji, Byron Hsu, Keqiu Hu, HuiYang Jian, Quan Zhou, Chien-Min Wang:
Apache Submarine: A Unified Machine Learning Platform Made Simple. - Sone Kyaw Pye, Han Yu:
Personalised Federated Learning: A Combinational Approach. - Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Evaluation Methodologies for Code Learning Tasks. - Dongling Wang, Jun Zou:
Mittag-Leffler stability of numerical solutions to time fractional ODEs. - Ornela Dardha, Valentina Castiglioni:
Proceedings Combined 28th International Workshop on Expressiveness in Concurrency and 18th Workshop on Structural Operational Semantics, EXPRESS/SOS 2021, and 18th Workshop on Structural Operational SemanticsParis, France (online event), 23rd August 2021. EPTCS 339, 2021 [contents] - Hadi Khodaei Jooshin, Mahdi Nangir:
Reliable Spread Spectrum Communication Systems by Using Low-Density Parity-Check Codes. - Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. - Sayan Sarcar, Amit Jena, Mashuq Un Nabi:
Mathematical Analysis of Modified BEM-FEM Coupling Approach for 3D Electromagnetic Levitation Problem. - Fengchuang Xing, Yuan-Gen Wang, Hanpin Wang, Leida Li, Guopu Zhu:
StarVQA: Space-Time Attention for Video Quality Assessment. - Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. - Lizhi Zhao, Xuequan Lu, Min Zhao, Meili Wang:
Classifying In-Place Gestures with End-to-End Point Cloud Learning. - Junru Gu, Chen Sun, Hang Zhao:
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets. - Xin Zhang, Shenghui Song:
Bias for the Trace of the Resolvent and Its Application on Non-Gaussian and Non-centered MIMO Channels. - Mohammad Masudur Rahman, Chanchal K. Roy:
A Systematic Literature Review of Automated Query Reformulations in Source Code Search. - Michael C. Thrun:
The Exploitation of Distance Distributions for Clustering. - Zhengyong Wang, Liquan Shen, Mei Yu, Kun Wang, Yufei Lin, Mai Xu:
Domain Adaptation for Underwater Image Enhancement. - Zhengyang Wu, Ke Deng, Judy Qiu, Yong Tang:
ExamGAN and Twin-ExamGAN for Exam Script Generation. - Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary Ensemble Learning for Multivariate Time Series Prediction. - Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang:
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network. - Hengjia Wei, Moshe Schwartz:
Sequence Reconstruction for Limited-Magnitude Errors. - Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma:
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation. - Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho:
Relational Embedding for Few-Shot Classification. - Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos:
Learning of Visual Relations: The Devil is in the Tails. - Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. - Idan Shabat, Ofer Neiman:
A Unified Framework for Hopsets and Spanners. - Kalyani Dhananjay Kadam, Swati Ahirrao, Ketan Kotecha, Sayan Sahu:
Detection and Localization of Multiple Image Splicing Using MobileNet V1. - Junpeng Wang, Jun Wu, Rüdiger Westermann:
Stress Topology Analysis for Porous Infill Optimization. - Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner:
Efficient Gaussian Neural Processes for Regression. - Dinshaw S. Balsara, Roger Käppeli:
Von Neumann Stability Analysis of DG-like and PNPM-like Schemes for PDEs that have Globally Curl-Preserving Evolution of Vector Fields. - Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao:
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification. - Subhrasankha Dey, Tanmoy Dam:
Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model. - Tapas Nayak, Navonil Majumder, Soujanya Poria:
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. - Xiaohu Jiang, Ze Chen, Zhicheng Wang, Erjin Zhou, Chun Yuan:
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads. - Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Spatial Transformer Networks for Curriculum Learning. - Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, Qianru Sun:
Self-Regulation for Semantic Segmentation. - Silvia Masiero, Petter Nielsen:
Resilient ICT4D: Building and Sustaining our Community in Pandemic Times. - Inci M. Baytas, Debayan Deb:
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations. - Arka Ujjal Dey, Ernest Valveny, Gaurav Harit:
External Knowledge Augmented Text Visual Question Answering. - Johan Ivar Sæbø, Brian Nicholson, Petter Nielsen, Sundeep Sahay:
Digital Global Public Goods. - Scott Russpatrick, Johan Sæbø, Eric Monteiro, Brian Nicholson, Terje Aksel Sanner:
Digital Resilience to Covid-19: A Model for National Digital Health Systems to Bounce Forward From the Shock of a Global Pandemic. - Scott Russpatrick, Magnus Li, Jørn Braa, Alexander Bruland, Mikael Olsen Rodvelt, Andrew Muhire, Adolphe Kamungunga, Kai Vandivier, Silvia Masiero, Peichun Wu, Peter Biro, Stian Rustad:
Improving Data Use and Participatory Action and Design to Support Data Use: The Case of DHIS2 in Rwanda. - Flora Asah, Jens Kaasbøll:
Deconstructing the Dichotomous Relationship Between "IT analysts and End-users": A Case of Implementing Standard Indicators in Cameroon. - Zijie Wang, Rongke Liu, Qirui Liu, Lincong Han:
QoS-Oriented Sensing-Communication-Control Co-Design for UAV-Enabled Positioning. - Pamod Amarakoon, Jørn Braa, Sundeep Sahay, Lakmini Magodarathna, Rajeev Moorthy:
Building Resilient Information Systems for Child Nutrition in Post-conflict Sri Lanka during COVID-19 Pandemic. - Pamod Amarakoon, Jørn Braa, Sundeep Sahay:
Building Agility in COVID-19 Information Systems Response in Sri Lanka: Recommendations for Practice. - Haoyue Tang, Xinyu Hou, Jintao Wang, Jian Song:
Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels. - Noora H. Alghatam:
Boundary Spanning and the Support of Digital Entrepreneurs: A Case Study of Bahrain. - Nilza Collinson, Zeferino Saugene, Jørn Braa, Sundeep Sahay, Emilio Mosse:
Reflections, Learnings and Proposed Interventions on Data Validation and Data Use for Action in Health: A Case of Mozambique. - Silvia Masiero, Chakradhar Buddha:
Data Justice in Digital Social Welfare: A Study of the Rythu Bharosa Scheme. - Vladimir Pestov:
A universally consistent learning rule with a universally monotone error. - Mourine Achieng, Ephias Ruhode:
EHealth Technologies Integration with Healthcare Work Activities in Public Hospitals: A Critical Realist Perspective. - Verry Adrian, Intan Rachmita Sari, Hardya Gustada Hikmahrachim:
Establishing Data Warehouse to Improve Standardize Health Care Delivery: A Protocol Development in Jakarta City. - Verry Adrian, Intan Rachmita Sari, Hardya Gustada Hikmahrachim:
Application of Executive Information System for COVID-19 Reporting System and Management: An Example from DKI Jakarta, Indonesia. - Emmanuel Okoro Ajah, Chidi G. Ononiwu:
Exploring Multi-Dimensional Events Characterizing Tech Start-Up Emergence in the Nigerian Entrepreneurial Ecosystem. - Boluwatife Ajibola:
The Quest for Development: When Social Media-Brokered Political Power Encounters Political 'Flak Jackets'. - Azadeh Akbari:
A Resilient ICT4D Approach to ECO Countries' Education Response during COVID-19 Pandemic. - Muftawu Dzang Alhassan, Martin Butler:
Digital Resilience and the Continuance Use of Mobile Payment Services. - Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan:
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. - Norah Humus Alotaibi, Salihu Ibrahim Dasuki, Efpraxia D. Zamani:
M-Government, Wilaya and Women's Empowerment in the Kingdom of Saudi Arabia. - Godfred Amankwaa, Richard Heeks, Alison L. Browne:
Digitalising the Water Sector: Implications for Water Service Management and Governance. - Muluneh Atinaf, Alemayehu Molla, Salehu Anteneh:
Towards a Resilient Information System for Agriculture Extension Information Service: An Exploratory Study. - Moming Duan, Duo Liu, Xinyuan Ji, Yu Wu, Liang Liang, Xianzhang Chen, Yujuan Tan:
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. - Deepa Austin, Amit Prakash:
Connecting the Dots in Nutritional Rehabilitation: A Qualitative Study on ICT and Community Based Care. - Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yüksel, Pinar Yanardag:
Graph2Pix: A Graph-Based Image to Image Translation Framework. - Kamil Rosiak, Alexander Schlie, Lukas Linsbauer, Birgit Vogel-Heuser, Ina Schaefer:
Custom-Tailored Clone Detection for IEC 61131-3 Programming Languages. - Bukhari Badamasi, Samuel C. Avemaria Utulu:
Framework for Managing Cybercrime Risks in Nigerian Universities. - Gugulethu Baduza, Caroline Khene:
A Proposed Framework for the Comprehensive Scalability Assessment of ICTD Projects. - Tseriwa Bakasa, Ayanda Pekane:
The Decision Criteria Used by Large Enterprises in South Africa for the Adoption of Cloud Computing. - Ben Hur Monteiro Barizon, Renata Lèbre La Rovere:
Smart Cities: Potentialities and Challenges in a Context of Sharing Economy. - Aditi Bhatia-Kalluri:
E-commerce for Rural Micro-Entrepreneurs: Mapping Restrictions, Ecologies of Use and Trends for Development. - Xiefan Guo, Hongyu Yang, Di Huang:
Image Inpainting via Conditional Texture and Structure Dual Generation. - Juan Bossio, Illari Diez:
Women's Solidarity and Social Media: Sisterhood Concept in #LasRespondonas, a Facebook group in Peru. - Claudia Cáceres, Yan Li, Brian Hilton:
A Climate Change Vulnerability Assessment Framework: A Spatial Approach. - Ammar Canani, Lisa F. Seymour:
Describing Emergency Remote Teaching using a Learning Management System: A South African COVID-19 Study of Resilience through ICT. - Priya Chetri, Upasna Sharma, P. Vigneswara Ilavarasan:
Role of Information and ICTs as Determinants of Farmer's Adaptive Capacity to Climate Risk: An Empirical Study From Haryana, India. - Nataly Brukhim, Elad Hazan, Karan Singh:
A Boosting Approach to Reinforcement Learning. - Reem Abdel-Salam:
Relating CNNs with brain: Challenges and findings. - Yusuf Ephraim Chidama, Chidi Gerard Ononiwu:
Empirical Study of Sustaining the Actualized Value Propositions of Implemented E-Government Projects in Sub-Saharan Africa. - Faranak Shamsafar, Samuel Woerz, Rafia Rahim, Andreas Zell:
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching. - Stepan Perminov, Nikita Mikhailovskiy, Alexander Sedunin, Iaroslav Okunevich, Ivan Kalinov, Mikhail Kurenkov, Dzmitry Tsetserukou:
UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection. - Elijah Chirwa, Pamela Abbott, Jonathan Foster:
Understanding the Interplay between Boundary Resources and Governance Practices in Influencing Ecosystem Value Co-creation for Digital Platforms: A Case From the Global South. - Martina A. Clarke, Sajda Qureshi, Timi Barone, John R. Windle:
Sustainable Development Through a Mobile Application for a Community Clinic. - Abel Pires da Silva:
"Sharing Wisdoms from the East": Developing a Native Theory of ICT4D Using Grounded Theory Methodology (GTM) - Experience from Timor-Leste. - Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg:
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger. - Mathew Masinde Egessa, Samuel Liyala:
Holistically Placing the ICT Artefact in Capability Approach. - Christopher Foster:
Global Transfers: M-Pesa, Intellectual Property Rights and Digital Innovation. - Yidnekachew Redda Haile:
The Liberalities and Tyrannies of ICTs for Vulnerable Migrants: The Status Quo, Gaps and Directions. - Richard Heeks:
From Digital Divide to Digital Justice in the Global South: Conceptualising Adverse Digital Incorporation. - Tochukwu Arinze Ikwunne, Lucy Hederman, P. J. Wall:
Designing Mobile Health for User Engagement: The Importance of Socio-Technical Approach. - Renza Iqbal:
Gendering of Smartphone Ownership and Autonomy among Youth: Narratives from Rural India. - Elizabeth Ujarura Kamutuezu, Heike Winschiers-Theophilus, Anicia Peters:
An Exploration of Factors Influencing the Adoption of ICT Enabled Entrepreneurship Applications in Namibian Rural Communities. - Nikita Mikhailovskiy, Alexander Sedunin, Stepan Perminov, Ivan Kalinov, Dzmitry Tsetserukou:
UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection with Non-trivial Shape of Disinfection Zone. - Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone:
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. - Alagappan Swaminathan, Venkatakrishnan Sutharsan, Tamilselvi Selvaraj:
Wind Power Projection using Weather Forecasts by Novel Deep Neural Networks. - Caroline Khene, Ingrid Siebörger, Mamello Thinyane, Clement Simuja:
Power Participation in Digital Citizen Engagement in South African Local Government: The Case of MOBISAM. - Abhilash Kondraganti:
Big Data Analytics in Humanitarian and Disaster Operations: A Systematic Review. - Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone:
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. - Guillermo Jesús Larios-Hernández:
Market Digitalization and Resilience in Crisis Times. - Gilbert Mahlangu, Ephias Ruhode:
Factors Enhancing E-Government Service Gaps in a Developing Country Context. - Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Efficient Algorithms for Learning from Coarse Labels. - Donald Flywell Malanga:
Survey of Cyber Violence Against Women in Malawi. - Donald Flywell Malanga, Memory Banda:
ICT Use and Livelihoods of Women Microenterprises in Malawi. - Mario A. Marais, Sara Vannini:
Network Weaving to Foster Resilience and Sustainability in ICT4D. - Ken Jen Lee, Apoorva Chauhan, Joslin Goh, Elizabeth Nilsen, Edith Law:
Curiosity Notebook: The Design of a Research Platform for Learning by Teaching. - Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long:
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. - Rangarirai Matavire, Jørn Braa, Shorai Huwa, Lameck Munangaidzwa, Zeferino Saugene, Isaac Taramusi, Bob Jolliffe:
Moments in the Production of Space: Developing a Generic Adolescent Girls and Young Women Health Information Systems in Zimbabwe. - Teurai Matekenya, Ephias Ruhode:
Towards an Integrated Knowledge Management and Information and Communication Technology Framework for Improving Disaster Response in a Developing Country Context. - B. Mansurov, A. Mansurov:
UzBERT: pretraining a BERT model for Uzbek. - Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
Embodied AI-Driven Operation of Smart Cities: A Concise Review. - Irfan Muhammad:
Algorithms for reachability problems on stochastic Markov reward models. - Robert Altmann, Daniel Peterseim, Tatjana Stykel:
Energy-adaptive Riemannian optimization on the Stiefel manifold. - Rain Jiang, Kai Jiang, Minghui Jiang:
On universal covers for carpenter's rule folding. - Michael Maynard, Vishesh Vikas:
Angular Velocity Estimation using Non-coplanar Accelerometer Array. - Jan Kaiser, Supriyo Datta:
Perspective: Probabilistic computing with p-bits. - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. - Fatemeh Kazemi, Alex Sprintson:
Multi-Server Private Linear Transformation with Joint Privacy. - Huy Tu, Tim Menzies:
FRUGAL: Unlocking SSL for Software Analytics. - Adarsh Jagan Sathyamoorthy, Utsav Patel, Moumita Paul, Nithish K. Sanjeev Kumar, Yash Ajay Savle, Dinesh Manocha:
CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes. - Ahammed Ullah:
Clique Cover of Graphs with Bounded Degeneracy. - Martín Baigorria Alonso:
Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems. - Hongyuan Zhan, Kamesh Madduri, Venkataraman Shankar:
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition. - M. Z. Naser, V. K. Kodur:
Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns. - Natchanon Luangsomboon, Jörg Liebeherr:
A Round-Robin Packet Scheduler for Hierarchical Max-Min Fairness. - Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka:
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. - Dongping Zhang, Eytan Adar, Jessica Hullman:
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). - Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu:
Anarchic Federated Learning. - Adnan Darwiche, Pierre Marquis:
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI. - Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. - Xinyu Yang, Xinlan Zhang, Zhenguo Zhang, Yahui Zhao, Rongyi Cui:
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series. - Tuan Manh Lai, Yang Zhang, Evelina Bakhturina, Boris Ginsburg, Heng Ji:
A Unified Transformer-based Framework for Duplex Text Normalization. - Xueping Wang, Shasha Li, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury:
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency. - Yun-Bin Zhao, Zhi-Quan Luo:
Dynamic Orthogonal Matching Pursuit for Signal Reconstruction. - Tom Bensky:
Teaching and learning mathematics with Prolog. - Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao:
CANet: A Context-Aware Network for Shadow Removal. - Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau:
Burst Imaging for Light-Constrained Structure-From-Motion. - Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. - Khoi Nguyen, Sinisa Todorovic:
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation. - Seho Bae, Nizam Ud Din, Hyunkyu Park, Juneho Yi:
Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network. - Tharindu Adikari:
Rate distortion comparison of a few gradient quantizers. - Xiaodong Shao, Qinglei Hu, Daochun Li, Yang Shi, Bowen Yi:
Composite Adaptive Control for Anti-Unwinding Attitude Maneuvers: An Exponential Stability Result Without Persistent Excitation. - Farhad Aghili:
Non-Minimal Systems with Switching Topology: Dynamics and Controls. - Isabella Ferreira, Jinghui Cheng, Bram Adams:
The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions. - Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo:
The 2nd Anti-UAV Workshop & Challenge: Methods and Results. - Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos:
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. - Haozhan Sun, Chenchen Xu, Hanna Suominen:
Analyzing the Granularity and Cost of Annotation in Clinical Sequence Labeling. - Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. - Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang:
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation. - Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu:
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. - Bhavya Ghai, Klaus Mueller:
Fluent: An AI Augmented Writing Tool for People who Stutter. - Yongming Li, Chengyu Liu, Pin Wang, Hehua Zhang, Anhai Wei:
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease. - Alejandro Parada-Mayorga, Alejandro Ribeiro:
Convolutional Filtering and Neural Networks with Non Commutative Algebras. - Alif Tri Handoyo, Hidayaturrahman, Derwin Suhartono:
Sarcasm Detection in Twitter - Performance Impact while using Data Augmentation: Word Embeddings. - Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. - Khizar Hameed, Saurabh Kumar Garg, Muhammad Bilal Amin, Byeong Ho Kang:
Towards a Formal Modelling, Analysis, and Verification of a Clone Node Attack Detection Scheme in the Internet of Things. - Manisha Padala, Sankarshan Damle, Sujit Gujar:
Federated Learning Meets Fairness and Differential Privacy. - Minh Tran, Ellen Bradley, Michelle Matvey, Joshua Woolley, Mohammad Soleymani:
Modeling Dynamics of Facial Behavior for Mental Health Assessment. - Matthew A. McGee, Carleen F. Maitland, Dorothy Njoroge:
Information Sources and Anxiety among Refugees in Kenya during COVID-19. - Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Voxel-based Network for Shape Completion by Leveraging Edge Generation. - Arun Mitra, Biju Soman, Gurpreet Singh:
An Interactive Dashboard for Real-Time Analytics and Monitoring of COVID-19 Outbreak in India: A proof of Concept. - Lancelord Siphamandla Mncube, Maureen Tanner, Wallace Chigona:
The Commodification of Open Educational Resources for Teaching and Learning by Academics in an Open Distance e-Learning Institution. - Mashiat Mostafa, Faheem Hussain:
Transcending Old Boundaries: Digital Afterlife in the Age of COVID-19. - Ioana Chan Mow, Agnes Wong Soon, Elisapeta Maua'i, Ainsley Anesone:
Patterns of ICT usage in disaster in Samoa. - Martin Bright Msendma, Wallace Chigona, Benjamin Kumwenda, Jens Kaasbøll, Chipo Kanjo:
Legitimization of Data Quality Practices in Health Management Information Systems Using DHIS2. Case of Malawi. - Hareem Nassar, Fareesa Malik:
Role of Digital Platforms in Entrepreneurial Processes: A Resource Enabling Perspective of Startups in Pakistan. - Jones Ntaukira, Priscilla Maliwichi, James Kamwachale Khomba:
Factors that Determine Continuous Intention to Use Mobile Payments in Malawi. - Caoimhe O'Maonaigh, Deepak Saxena:
Investigating Personalisation-Privacy Paradox Among Young Irish Consumers: A Case of Smart Speakers. - Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang:
Pull Request Latency Explained: An Empirical Overview. - Abhipsa Pal, Rahul De':
For Better or for Worse? A Framework for Critical Analysis of ICT4D for Women. - Kyung Ryul Park, Sundeep Sahay, Jørn Braa, Pamod Amarakoon:
Digital Resilience for What? Case Study of South Korea. - Lorena Pérez-García:
The ICT-Buen Vivir Paradox: Using Digital Tools to Defend Indigenous Cultures. - Fazlyn Petersen:
Impact of Culture on the Adoption of Diabetes Self-Management Applications: Cape Flats, South Africa. - Sung Yun Woo, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee, Jong-Ho Bae:
Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device. - Fazlyn Petersen, Bradley Groenewald:
Students' Engagement in Anonymous Peer Review: Using the Open-Source Sakai Platform. - Deborah Amos Phiri, Chipo Kanjo:
Policy-Practice Contradiction: Case of Cloud Computing Adoption in the Malawi Health Sector. - Setia Pramana, Achmad Fauzi Bagus Firmansyah, Mieke Nurmalasari:
Mapping of Covid-19 Risk Factors of Cities and Regencies in Indonesia during the Initial Stages of the Pandemic. - Rose Pritchard, Wilhelm Kiwango, Andy Challinor:
Earth Observation and the New African Rural Datascapes: Defining an Agenda for Critical Research. - Cathy Roche, Dave Lewis, P. J. Wall:
Artificial Intelligence Ethics: An Inclusive Global Discourse? - Debas Senshaw, Hossana Twinomurinzi:
The Moderating Effect of Gender on Adopting Digital Government Innovations in Ethiopia. - Gurpreet Singh, Biju Soman, Arun Mitra:
A Systematic Approach to Cleaning Routine Health Surveillance Datasets: An Illustration Using National Vector Borne Disease Control Programme Data of Punjab, India. - Jingyang Zhang, Yao Yao, Long Quan:
Learning Signed Distance Field for Multi-view Surface Reconstruction. - Do-Young Kwak, Hyeokjoo Park:
A formal construction of a divergence-free basis in the nonconforming virtual element method for the Stokes problem. - Do-Young Kwak, Hyeokjoo Park:
Lowest-order virtual element methods for linear elasticity problems. - Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. - Yiqi Jiang, Weihua Chen, Xiuyu Sun, Xiaoyu Shi, Fan Wang, Hao Li:
Exploring the Quality of GAN Generated Images for Person Re-Identification. - Jianwei Yang, Yonatan Bisk, Jianfeng Gao:
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. - Hyeongseok Son, Junyong Lee, Jonghyeop Lee, Sunghyun Cho, Seungyong Lee:
Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes. - Jongmin Park, Sooyoung Jang, Younghoon Shin:
Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning. - Jiongzhi Zheng, Jianrong Zhou, Kun He:
Farsighted Probabilistic Sampling based Local Search for (Weighted) Partial MaxSAT. - Chin Hei Chan, Fang-Wei Fu, Maosheng Xiong:
Decoding Error Probability of the Random Matrix Ensemble over the Erasure Channel. - Yusuke Kimura, Takumi Akazaki, Shinji Kikuchi, Sonal Mahajan, Mukul R. Prasad:
Q&A MAESTRO: Q&A Post Recommendation for Fixing Java Runtime Exceptions. - Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu:
Image coding for machines: an end-to-end learned approach. - Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Cheng-Han Chou, Chih-Sheng Huang:
MS-DARTS: Mean-Shift Based Differentiable Architecture Search. - Sylvain Courtain, Guillaume Guex, Ilkka Kivimäki, Marco Saerens:
Relative Entropy-Regularized Optimal Transport on a Graph: a new algorithm and an experimental comparison. - Pooja Tiwari, Simran Mehta, Nishtha Sakhuja, Jitendra Kumar, Ashutosh Kumar Singh:
Credit Card Fraud Detection using Machine Learning: A Study. - Eungyeup Kim, Jihyeon Lee, Jaegul Choo:
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation. - Olivier Bernard, Liudi Lu:
Optimal optical conditions for Microalgal production in photobioreactors. - Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. - Sourav Dutta, Haytham Assem, Edward Burgin:
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval. - Gianluca Cima, Federico Croce, Maurizio Lenzerini:
QDEF and Its Approximations in OBDM. - Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou:
Deep Relational Metric Learning. - Jaebong Jeong, Janghun Jo, Jingdong Wang, Sunghyun Cho, Jaesik Park:
Realistic Image Synthesis with Configurable 3D Scene Layouts. - Rajeshwari K, Preetha S, Anitha C, Lakshmi Shree K, Pronoy Roy:
Collation of Feasible Solutions for Domain Based Problems: An Analysis of Sentiments Based on Codeathon Activity. - (Withdrawn) Event Extraction by Associating Event Types and Argument Roles.
- Cuicui Kang, Karthik Nandakumar:
Discovering Spatial Relationships by Transformers for Domain Generalization. - Tuan Truong, Sadegh Mohammadi, Matthias Lenga:
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? - Nathan Sesti, Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
Integrating LSTMs and GNNs for COVID-19 Forecasting. - Racine Ly, Khadim Dia, Mariam Diallo:
Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19. - Weiheng Jiang, Wanxin Yu, Jiangtian Nie, Zehui Xiong, Xiaogang Wu:
Composite Time-Frequency Analysis and Siamese Neural Network based Compound Interference Identification for Hopping Frequency System. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera:
ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos. - Larkin Liu, Jun Tao Luo:
An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM. - Fred Atilla, Maryam Alimardani:
EEG-based Classification of Drivers Attention using Convolutional Neural Network. - Aditya Kunar:
Effective and Privacy preserving Tabular Data Synthesizing. - Lorenz Kummer:
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods - A Survey. - Zachariah Beasley, Les A. Piegl, Paul Rosen:
Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment. - Tanvi Deshpande, Nitya Mani:
An Interpretable Approach to Hateful Meme Detection. - Eslam Eldeeb, Mohammad Shehab, Hirley Alves:
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory. - Christof Ferreira Torres, Hugo Jonker, Radu State:
Elysium: Automagically Healing Vulnerable Smart Contracts Using Context-Aware Patching. - Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, Shuo Feng:
Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents. - Simphiwe S. Sithole, Ephias Ruhode:
Cloud Computing Adoption: Opportunities and Challenges for Small, Medium and Micro Enterprises in South Africa. - Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva, Inwoong Kim, Paparao Palacharla, Chigo M. Okonkwo, Frans M. J. Willems:
On Kurtosis-limited Enumerative Sphere Shaping for Reach Increase in Single-span Systems. - In'aam Soeker, Shallen Lusinga, Wallace Chigona:
Readiness of the South African Agricultural Sector to Implement IoT. - Karen Sowon, Wallace Chigona:
Conceptualising Healthcare-Seeking as an Activity to Explain Technology Use: A Case of M-health. - Gertjan van Stam:
Access to Digital Platforms: Can 'Mobile' Network Coverage Reports be Relied Upon? Observations from Rural Zambia and Zimbabwe. - Gertjan van Stam:
Appropriation, coloniality, and digital technologies. Observations from within an African place. - Isobel Talks:
Gender Data 4 Girls?: A Postcolonial Feminist Participatory Study in Bangladesh. - Yikun Mei, Zhen Gao:
CS-Based CSIT Estimation for Downlink Pilot Decontamination in Multi-Cell FDD Massive MIMO. - Alexei Iliasov, Dominic Taylor, Linas Laibinis, Alexander B. Romanovsky:
SafeCap: from formal verification of railway interlocking to its certification. - Thea Hvalen Thodesen, Uy Tran, Jens Kaasbøll, Chipo Kanjo, Tiwonge Davis Manda:
Medical Graphs in Patient Information Systems in Primary Care. - P. J. Wall, Deepak Saxena, Suzana Brown:
Artificial Intelligence in the Global South (AI4D): Potential and Risks. - Sophie Zinser, Hannah Thinyane:
Organizational Resilience between Competing Networks of Infomediaries: A Case Study in Civil Society Resilience in Hong Kong. - Izak van Zyl, Nyx McLean:
The Ethical Implications of Digital Contact Tracing for LGBTQIA+ Communities. - Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. - Maciej Bialobrzeski, Piotr Nayar:
Rényi entropy and variance comparison for symmetric log-concave random variables. - Meshia Cédric Oveneke:
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing. - Sylwia Majchrowska, Jaroslaw Pawlowski, Natalia Czerep, Aleksander Górecki, Jakub Kucinski, Tomasz Golan:
Deep neural networks approach to microbial colony detection - a comparative analysis. - Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti:
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy. - Rahul Bhargava, Dee Williams, Catherine D'Ignazio:
How Learners Sketch Data Stories. - Markus Krönke, Christine Eilers, Desislava Dimova, Melanie Köhler, Gabriel Buschner, Lilit Mirzojan, Lemonia Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber, Thomas Wendler:
Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry. - Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas:
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law. - Harsh Mittal, Deepak Rikhari, Jitendra Kumar, Ashutosh Kumar Singh:
A study on Machine Learning Approaches for Player Performance and Match Results Prediction. - Julien Rossi, Evangelos Kanoulas:
Legal Search in Case Law and Statute Law. - Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang:
Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions. - R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic:
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees. - Dharma KC, Chicheng Zhang:
Improving the trustworthiness of image classification models by utilizing bounding-box annotations. - Esha Sarkar, Michail Maniatakos:
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis. - Joseph D. Ramsey:
Improving Accuracy of Permutation DAG Search using Best Order Score Search. - Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo:
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data. - Babak Salamat, Christopher Johannes Starck, Heiko Hamann:
Automatic Centralized Control of Underactuated Large-scale Multi-robot Systems using a Generalized Coordinate Transformation. - Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao:
Construction Cost Index Forecasting: A Multi-feature Fusion Approach. - Yong Wang:
Truly Concurrent Calculi with Reversibility, Probabilism and Guards. - Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian D. Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe:
ODAM: Object Detection, Association, and Mapping using Posed RGB Video. - Aishwarya Narasimhan, Krishna Prasad Agara Venkatesha Rao, Veena M. B:
CGEMs: A Metric Model for Automatic Code Generation using GPT-3. - Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin:
Towards Balanced Learning for Instance Recognition. - Roberto Casula, Marco Micheletto, Giulia Orrù, Rita Delussu, Sara Concas, Andrea Panzino, Gian Luca Marcialis:
LivDet 2021 Fingerprint Liveness Detection Competition - Into the unknown. - Ulrich Bauer, Abhishek Rathod, Meirav Zehavi:
The complexity of high-dimensional cuts. - Antoine Costes, Anatole Lécuyer:
The "Kinesthetic HMD": Enhancing Self-Motion Sensations in VR with Head-Based Force Feedback. - Leonard Dahlmann, Tomer Lancewicki:
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches. - Cheng Yu, Wenmin Wang:
Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions. - Florent Capelli, Yann Strozecki:
Geometric Amortization of Enumeration Algorithms. - Rafia Rahim, Faranak Shamsafar, Andreas Zell:
Separable Convolutions for Optimizing 3D Stereo Networks. - Nima Mirnateghi, Syed Afaq Ali Shah, Mohammed Bennamoun:
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks. - Diogo A. P. Nunes, David Martins de Matos, Joana Ferreira-Gomes, Fani Neto:
Analysis of Chronic Pain Experiences Based on Online Reports: the RRCP Dataset. - Muhammad Amith, Marcelline R. Harris, Cooper Stansbury, Kathleen Ford, Frank J. Manion, Cui Tao:
Expressing and Executing Informed Consent Permissions Using SWRL: The All of Us Use Case. - Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni:
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem. - Timothy L. Molloy, Girish N. Nair:
Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs. - Zheng Tong, Philippe Xu, Thierry Denoeux:
Fusion of evidential CNN classifiers for image classification. - Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage:
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning. - Alexei M. Mikhailov, Mikhail F. Karavay:
Pattern Inversion as a Pattern Recognition Method for Machine Learning. - Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. - Yogesh Kulkarni, Krisha Bhambani:
Kryptonite: An Adversarial Attack Using Regional Focus. - Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal:
Federated Multi-Task Learning under a Mixture of Distributions. - Jean Louis Ebongue Kedieng Fendji, Diane M. Tala, Blaise Omer Yenke, Marcellin Atemkeng:
Automatic Speech Recognition using limited vocabulary: A survey. - Kenji Maillard, Nicolas Margulies, Matthieu Sozeau, Nicolas Tabareau, Éric Tanter:
The Multiverse: Logical Modularity for Proof Assistants. - Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja, Yann Busnel, Navneet Pratap Singh:
Cube Sampled K-Prototype Clustering for Featured Data. - Xuyang Shen, Jo Plested, Sabrina B. Caldwell, Tom Gedeon:
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space. - Naveed Ahmed Azam, Jianshen Zhu, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search. - Anirudh Paranjothi, Mohammed Atiquzzaman:
A statistical approach for enhancing security in VANETs with efficient rogue node detection using fog computing. - Emilio Di Giacomo, Walter Didimo, Fabrizio Montecchiani, Alessandra Tappini:
A User Study on Hybrid Graph Visualizations. - Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. - Soubarna Banik, Alejandro Mendoza García, Lorenz Kiwull, Steffen Berweck, Alois C. Knoll:
Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation. - Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess:
Collect & Infer - a fresh look at data-efficient Reinforcement Learning. - Isabelle Augenstein:
Towards Explainable Fact Checking. - Duarte Rondao, Nabil Aouf, Mark A. Richardson:
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation. - David Gregoratti, Xavier Mestre, Carlos Buelga:
Exclusive Group Lasso for Structured Variable Selection. - Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments. - Naser Damer, Noémie Spiller, Meiling Fang, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper:
PW-MAD: Pixel-wise Supervision for Generalized Face Morphing Attack Detection. - Eric Goubault, Jérémy Ledent, Sergio Rajsbaum:
A Simplicial Model for KB4n: Epistemic Logic with Agents that May Die. - Yusuke Imai:
General Theory of Music by Icosahedron 2: Analysis of musical pieces by the exceptional musical icosahedra. - Jannes Nys, Milan van den Heuvel, Koen Schoors, Bruno Merlevede:
Network control by a constrained external agent as a continuous optimization problem. - Qing Chen, Fuling Sun, Xinyue Xu, Zui Chen, Jiazhe Wang, Nan Cao:
VizLinter: A Linter and Fixer Framework for Data Visualization. - Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez:
C5T5: Controllable Generation of Organic Molecules with Transformers. - Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng:
Ranking Models in Unlabeled New Environments. - Chenxu Luo, Xiaodong Yang, Alan L. Yuille:
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. - Dev Akre, Nuh Aydin, Matthew J. Harrington, Saurav R. Pandey:
A Generalization of the ASR Search Algorithm to 2-Generator Quasi-Twisted Codes. - Anirudh Paranjothi, Mohammed Atiquzzaman:
Enhancing Security in VANETs with Efficient Sybil Attack Detection using Fog Computing. - Pablo Navarrete Michelini, Yunhua Lu, Xingqun Jiang:
edge-SR: Super-Resolution For The Masses. - Nicola Tonellotto, Craig Macdonald:
Query Embedding Pruning for Dense Retrieval. - Joana Passinhas, Tanya Araújo:
Gender-based occupational segregation: a bit string approach. - Gidon Katten:
Issuing Green Bonds on the Algorand Blockchain. - Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft:
Explaining Bayesian Neural Networks. - Shravan Kumar Akula, Hossein Salehfar:
Risk-based Classical Failure Mode and Effect Analysis (FMEA) of Microgrid Cyber-physical Energy Systems. - Hassaan Hashmi, Dionysios S. Kalogerias:
Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration. - Divyang Teotia, Àgata Lapedriza, Sarah Ostadabbas:
Interpreting Face Inference Models using Hierarchical Network Dissection. - Rosina Weber, Manil Shrestha, Adam J. Johs:
Knowledge-based XAI through CBR: There is more to explanations than models can tell. - Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients. - Tobias Jacob, Raffaele Galliera, Muddasar Ali, Sikha Bagui:
Marine vessel tracking using a monocular camera. - Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu:
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras. - Chloe Ciora, Nur Iren, Malihe Alikhani:
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models. - Jordan Samhi, Alexandre Bartel:
On The (In)Effectiveness of Static Logic Bomb Detector for Android Apps. - A. S. Jameel Hassan, Umar Marikkar, G. W. Kasun Prabhath, Aranee Balachandran, Wele Gedara Chaminda Bandara, Parakrama B. Ekanayake, Roshan Indika Godaliyadda, Janaka B. Ekanayake:
A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration. - Pavel Osinenko, Dmitrii Dobriborsci:
A generalized stacked reinforcement learning method for sampled systems. - Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. - Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin:
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. - Jie Mei, Wudan Han, Xianbin Wang, H. Vincent Poor:
Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G. - Nachuan Li, Riley Fischer, Wissam Kontar, Soyoung Ahn:
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps. - Phablo F. S. Moura, Matheus Jun Ota, Yoshiko Wakabayashi:
Approximation and parameterized algorithms to find balanced connected partitions of graphs. - Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang:
Learning Motion Priors for 4D Human Body Capture in 3D Scenes. - Sebastian Jaimungal, Silvana M. Pesenti, Ye Sheng Wang, Hariom Tatsat:
Robust Risk-Aware Reinforcement Learning. - Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger:
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. - GuoLiang Li, Yiyang Li:
Recurrent multiple shared layers in Depth for Neural Machine Translation. - Zekarias T. Kefato, Sarunas Girdzijauskas, Hannes Stärk:
Jointly Learnable Data Augmentations for Self-Supervised GNNs. - George Karantzas, Constantinos Patsakis:
An Empirical Assessment of Endpoint Security Systems Against Advanced Persistent Threats Attack Vectors. - Hanshen Xiao, Yaowen Zhang, Guoqiang Xiao:
On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem. - Yongli Zhu:
Power Grid Cascading Failure Mitigation by Reinforcement Learning. - Hanshen Xiao, Beining Zhou, Guoqiang Xiao:
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration. - Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. - Yixin Hu, Xingyu Li:
CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis. - Shashank Menon, Xiaoyu Song:
Computational multiphase periporomechanics for unguided cracking in unsaturated porous media. - Chandrakana Nandi, Max Willsey, Amy Zhu, Yisu Remy Wang, Brett Saiki, Adam Anderson, Adriana Schulz, Dan Grossman, Zachary Tatlock:
Rewrite Rule Inference Using Equality Saturation. - Rosina O. Weber, Prateek Goel, Shideh Shams Amiri, Gideon Simpson:
Longitudinal Distance: Towards Accountable Instance Attribution. - Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer, W. Bruce Croft:
Evaluating Fairness in Argument Retrieval. - Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment To Rule Them All. - HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell:
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. - Hooman Rafraf:
Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals. - Wenjie Ruan, Xinping Yi, Xiaowei Huang:
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. - Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric:
Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. - Su Yuan Chan, Kerri Morgan, Nick Parsons, Julien Ugon:
Supernodes. - Peter Kiss:
Improving update times of dynamic matching algorithms from amortized to worst case. - Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin, Nan Deng:
The Case for Task Sampling based Learning for Cluster Job Scheduling. - Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State:
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning. - Abhishek Madan, David I. W. Levin:
Fast Evaluation of Smooth Distance Constraints on Co-Dimensional Geometry. - Stefan D. Search, Christopher D. Cooper, Elwin van't Wout:
Towards optimal boundary integral formulations of the Poisson-Boltzmann equation for molecular electrostatics. - Jan Friso Groote:
Infinite Choice and Probability Distributions. An Open Problem: The Real Hotel. 2-8 - Eric Alsmann, Florian Bruse, Martin Lange:
Separating the Expressive Power of Propositional Dynamic and Modal Fixpoint Logics. 10-26 - Peter Seiler, Mrdjan Jankovic, Erik Hellström:
Control Barrier Functions With Unmodeled Dynamics Using Integral Quadratic Constraints. - Benjamin Bisping, Luisa Montanari:
A Game Characterization for Contrasimilarity. 27-42 - Matteo Cimini, Benjamin Mourad:
Language Transformations in the Classroom. 43-58 - Xian Xu, Wenbo Zhang:
On Decidability of the Bisimilarity on Higher-order Processes with Parameterization. 76-92 - Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. - Jaykumar Vaidya, R. S. Surya Kanthi, Nikhil Shukla:
Creating Electronic Oscillator-based Ising Machines without External Injection Locking. - Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr., Rong Jin, Nong Sang:
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. - Qingcai Wang, Hao Zhang, Xianggong Hong, Qinqin Zhou:
Small Object Detection Based on Modified FSSD and Model Compression. - Qi Feng, Man Luo, Zhaoyu Zhang:
Deep Signature FBSDE Algorithm. - Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Modulating Intelligent Surfaces for Multi-User MIMO Systems: Beamforming and Modulation Design. - Shan An, Fangru Zhou, Mei Yang, Haogang Zhu, Changhong Fu, Konstantinos A. Tsintotas:
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems. - Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, Yingchao Yu:
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. - Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang:
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. - Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. - Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. - Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang:
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones. - Chuong H. Nguyen, Thuy C. Nguyen, Tuan N. Tang, Nam L. H. Phan:
Improving Object Detection by Label Assignment Distillation. - Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. - Wenjia Liu, Shuo Zhang:
A lowest-degree strictly conservative finite element scheme for incompressible Stokes problem on general triangulations. - Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li:
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation. - Alex Wong, Stefano Soatto:
Unsupervised Depth Completion with Calibrated Backprojection Layers. - Sooyoung Jang, Hyung-Il Kim:
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning. - Jithu Geevargheese Panicker, Ahmad Salehi S., Carsten Rudolph:
Authentication and Access Control in 5G Device-to-Device Communication. - Qixun Zhang, Xinna Wang, Zhenhao Li, Zhiqing Wei:
Design and Performance Evaluation of Joint Sensing and Communication Integrated System for 5G MmWave Enabled CAVs. - Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng:
Making Person Search Enjoy the Merits of Person Re-identification. - Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. - Guodong Jin, Semih Salihoglu:
Making RDBMSs Efficient on Graph Workloads Through Predefined Joins. - Oluwafunmilola Kesa, Olly Styles, Victor Sanchez:
Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting. - Sabyasachi Basu, Akash Kumar, C. Seshadhri:
The complexity of testing all properties of planar graphs, and the role of isomorphism. - Sanghyuk Chun, Song Park:
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. - Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza:
Dense Optical Flow from Event Cameras. - Julien Bensmail, Hervé Hocquard, Dimitri Lajou, Éric Sopena:
A proof of the Multiplicative 1-2-3 Conjecture. - Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung:
Adaptation-Agnostic Meta-Training. - Simon Castellan, Pierre Clairambault, Glynn Winskel:
The Mays and Musts of Concurrent Strategies. - Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. - Andrea Madotto:
Taming the Beast: Learning to Control Neural Conversational Models. - Sebastian Wolf, Martin Galis, Carsten Uphoff, Alice-Agnes Gabriel, Peter Moczo, David Gregor, Michael Bader:
An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media. - Gabriel Bénédict, Vincent Koops, Daan Odijk, Maarten de Rijke:
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. - Dongyang Li, Lin Yang, Hongguang Zhang, Xiaolei Wang, Linru Ma, Junchao Xiao:
Image-based Insider Threat Detection via Geometric Transformation. - Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai:
Auto-Parsing Network for Image Captioning and Visual Question Answering. - Zhao Wang, Guangyu Sun, Jingchen Zhu, Zhe Zhou, Yijiang Guo, Zhihang Yuan:
METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators. - Lihua Ruan, Lingjie Duan, Jianwei Huang:
Optimal UAV Hitching on Ground Vehicles. - Emmanuel Abbe, Enric Boix-Adserà, Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj:
The staircase property: How hierarchical structure can guide deep learning. - Feng Ye, Jiamin Li, Pengcheng Zhu, Dongming Wang, Xiaohu You:
Spectral Efficiency Analysis of Cell-free Distributed Massive MIMO Systems with Imperfect Covariance Matrix. - Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao:
Support-Set Based Cross-Supervision for Video Grounding. - Natalia Pavlovna Bondarenko:
Finite-difference approximation of the inverse Sturm-Liouville problem with frozen argument. - Artur Nowakowski, Krzysztof Jassem:
Detection of Criminal Texts for the Polish State Border Guard. - Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot:
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes. - Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. - Huynh Quang Huy Viet, Hiroshi Suito:
Communication-hiding pipelined BiCGSafe methods for solving large linear systems. - Aslanbek Khibiev, Anatoly A. Alikhanov, Chengming Huang:
A second order difference scheme for time fractional diffusion equation with generalized memory kernel. - Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci:
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. - Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse, Tuan Anh Nguyen:
Overcoming the curse of dimensionality in the numerical approximation of backward stochastic differential equations. - Xue Hu, Ferdinando Rodriguez y Baena, Fabrizio Cutolo:
Rotation-constrained optical see-through headset calibration withbare-hand alignment. - Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-Learning for Fine-Grained Entity Typing. - Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. - Xue Hu, Anh Nguyen, Ferdinando Rodriguez y Baena:
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery. - Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski:
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. - Yige Zhang, Weixiong Rao, Kun Zhang, Lei Chen:
Outdoor Position Recovery from HeterogeneousTelco Cellular Data. - Chi-Hieu Nguyen, Khanh-Van Nguyen:
Multi-UAV Assisted Data Gathering in WSN: A MILP Approach For Optimizing Network Lifetime. - Barbara Kaltenbacher, Tram Thi Ngoc Nguyen:
Discretization of parameter identification in PDEs using Neural Networks. - Peiling Yi, Arkaitz Zubiaga:
Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT. - Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv:
Data-Free Evaluation of User Contributions in Federated Learning. - Tobias Pfandzelter, David Bermbach:
Towards Predictive Replica Placement for Distributed Data Stores in Fog Environments. - Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim:
Improving Generalization of Batch Whitening by Convolutional Unit Optimization. - Chang-Sik Choi, François Baccelli:
A Random Geometric Model of Blockages in Vehicular Networks. - Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies. - Kishan Wimalawarne, Taiji Suzuki:
Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank. - Yunfei Long, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan:
Full-Velocity Radar Returns by Radar-Camera Fusion. - Pavel Pribán, Josef Steinberger:
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers. - Maneet Singh, Rishemjit Kaur, Akiko Matsuo, S. R. S. Iyengar, Kazutoshi Sasahara:
Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages. - Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Pan Hui:
Context-aware Telco Outdoor Localization. - Tapas Tripura, Mohammad Imran, Budhaditya Hazra, Souvik Chakraborty:
A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems. - Lukas Kammerer, Gabriel Kronberger, Michael Kommenda:
Data Aggregation for Reducing Training Data in Symbolic Regression. - Bogdan Burlacu, Michael Affenzeller, Michael Kommenda:
On the Effectiveness of Genetic Operations in Symbolic Regression. - Bernadette N. Hahn, Gaël Rigaud, Richard Schmähl:
A class of regularizations based on nonlinear isotropic diffusion for inverse problems. - Hala Hamdoun, Alaa El. Sagheer, Hassan A. Youness:
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models. - Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri:
Sharing Practices for Datasets Related to Accessibility and Aging. - Weixin Feng, Yuanjiang Wang, Lihua Ma, Ye Yuan, Chi Zhang:
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning. - Rickard Sjögren, Johan Trygg:
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding. - Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang:
Density-Based Dynamic Curriculum Learning for Intent Detection. - Tapas Tripura, Budhaditya Hazra, Souvik Chakraborty:
Generalized weakly corrected Milstein solutions to stochastic differential equations. - Sahar Khalafi, Nasser Ghadiri, Milad Moradi:
Hybrid deep learning methods for phenotype prediction from clinical notes. - Nathan TeBlunthuis:
Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression. - Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. - Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran:
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. - Rishi Bommasani:
Generalized Optimal Linear Orders. - Ziqiang Wang, Zhi Liu, Gongyang Li, Tianhong Zhang, Lihua Xu, Jijun Wang:
Spatio-Temporal Self-Attention Network for Video Saliency Prediction. - Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? - Ashis Kumar Chanda:
Efficacy of BERT embeddings on predicting disaster from Twitter data. - Eric Wieser:
Scalar actions in Lean's mathlib. - Yan Pei, Keshav Pingali:
Sonic: A Sampling-based Online Controller for Streaming Applications. - Hao Zhu, Piotr Koniusz:
REFINE: Random RangE FInder for Network Embedding. - Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. - Fadi Boutros, Patrick Siebke, Marcel Klemt, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation. - Martin Nöllenburg, Anaïs Villedieu, Jules Wulms:
Layered Area-Proportional Rectangle Contact Representations. - Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Time Dependence in Kalman Filter Tuning. - Tung-Lin Wu, Taishi Senda:
Pen Spinning Hand Movement Analysis Using MediaPipe Hands. - Pedro A. Moreno-Sánchez:
Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence. - Filippo Bonchi, Alessio Santamaria:
Convexity via Weak Distributive Laws. - Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen:
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. - Hualian Sheng, Sijia Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao:
Improving 3D Object Detection with Channel-wise Transformer. - Niklas von Boguszewski, Sana Moin, Anirban Bhowmick, Seid Muhie Yimam, Chris Biemann:
How Hateful are Movies? A Study and Prediction on Movie Subtitles. - Keehang Kwon:
What is an Algorithm?: a Modern View. - Lilapati Waikhom, Ripon Patgiri:
Graph Neural Networks: Methods, Applications, and Opportunities. - Shakshi Sharma, Rajesh Sharma, Anwitaman Datta:
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic. - Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang:
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization. - Ricardo Vinuesa, Beril Sirmaçek:
Interpretable deep-learning models to help achieve the Sustainable Development Goals. - Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad:
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints. - Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang:
Federated Learning for Open Banking. - Gaurav Singh, Siffi Singh, Joshua Wong, Amir Saffari:
Relation Extraction from Tables using Artificially Generated Metadata. - Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach. - Edward O'Dwyer, Eric C. Kerrigan, Paola Falugi, Marta A. Zagorowska, Nilay Shah:
Data-driven predictive control with reduced computational effort and improved performance using segmented trajectories. - Jin Cheevaprawatdomrong, Alexandra Schofield, Attapol T. Rutherford:
More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models. - Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang:
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health. - Leshem Choshen, Idan Amit:
ComSum: Commit Messages Summarization and Meaning Preservation. - Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing Transformers With Deep Probabilistic Layers. - Pooja Rani, Suada Abukar, Nataliia Stulova, Alexandre Bergel, Oscar Nierstrasz:
Do Comments follow Commenting Conventions? A Case Study in Java and Python. - Yangpan Zhang, Maozhi Xu:
On the linear complexity of feedforward clock-controlled sequence. - Saidgani Musaev, Christof Fetzer:
Transient Execution of Non-Canonical Accesses. - Sankardeep Chakraborty, Seungbum Jo, Kunihiko Sadakane, Srinivasa Rao Satti:
Succinct Data Structures for Series-Parallel, Block-Cactus and 3-Leaf Power Graphs. - Irina Aleksandrovna Astrakhantseva, Roman Gennadevich Astrakhantsev, Arseny Viktorovich Mitin:
Randomized C/C++ dynamic memory allocator. - Yujiang He:
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts. - Carla Binucci, Emilio Di Giacomo, Giuseppe Liotta, Alessandra Tappini:
Quasi-upward Planar Drawings with Minimum Curve Complexity. - Niloofar Okati, Taneli Riihonen:
Nonhomogeneous Stochastic Geometry Analysis of Massive LEO Communication Constellations. - Yannick Bosch, Peter Schäfer, Joachim Spoerhase, Sabine Storandt, Johannes Zink:
Consistent Simplification of Polyline Tree Bundles. - Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, Miguel A. Luengo-Oroz:
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19. - Lu Liu, Lili Wei, Wuqi Zhang, Ming Wen, Yepang Liu, Shing-Chi Cheung:
Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts. - Stefanie Walz, Mario Bijelic, Florian Kraus, Werner Ritter, Martin Simon, Igor Doric:
A Benchmark for Spray from Nearby Cutting Vehicles. - Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske:
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. - Samuel Cahyawijaya:
Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation. - Keyang Wang, Lei Zhang:
Reconcile Prediction Consistency for Balanced Object Detection. - Luis Velazquez, Genevieve Palardy, Corina Barbalata:
Design and integration of end-effector for 3D printing of novel UV-curable shape memory polymers with a collaborative robotic system. - Mahmoud Makkiabadi:
Economic and technical study for the construction of a 1 MW grid-connected solar power plant in southern Iran. - Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu:
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. - Yuqi Ding, Jinwei Ye, Corina Barbalata, James Oubre, Chandler Lemoine, Jacob Agostinho, Genevieve Palardy:
Next-generation perception system for automated defects detection in composite laminates via polarized computational imaging. - Zhaoyu Li, Binghong Chen, Xujie Si:
Graph Contrastive Pre-training for Effective Theorem Reasoning. - Lam Si Tung Ho, Giang Tran:
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data. - Ryo Suzuki, Eyal Ofek, Mike Sinclair, Daniel Leithinger, Mar González-Franco:
HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots. - Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, Wenli Zhou:
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision. - Osoro B. Ogutu, Edward J. Oughton:
A Techno-Economic Cost Framework for Satellite Networks Applied to Low Earth Orbit Constellations: Assessing Starlink, OneWeb and Kuiper. - Shuhao Qiu, Chuang Zhu, Wenli Zhou:
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark. - Thiemo Alldieck, Hongyi Xu, Cristian Sminchisescu:
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose. - Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou:
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision. - Gopalan Nadathur, Mary Southern:
On Encoding LF in a Predicate Logic over Simply-Typed Lambda Terms. - Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang:
Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems. - Manmeet Singh, Chirag Dhara, Adarsh Kumar, Sukhpal Singh Gill, Steve Uhlig:
Quantum Artificial Intelligence for the Science of Climate Change. - Kaan Gökcesu, Hakan Gökcesu:
Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives. - Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. - Andrei P. Nemytykh:
On Specialization of a Program Model of Naive Pattern Matching in Strings (Extended Abstract). - Richard Schmoetten, Jake E. Palmer, Jacques D. Fleuriot:
Towards Formalising Schutz' Axioms for Minkowski Spacetime in Isabelle/HOL. - Zachary Teed, Jia Deng:
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. - Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. - Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Are socially-aware trajectory prediction models really socially-aware? - Vladimir Shenmaier:
Linear-Size Universal Discretization of Geometric Center-Based Problems in Fixed Dimensions. - Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao:
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. - Riadul Islam, Maloy Kumar Devnath, Manar D. Samad, Syed Md Jaffrey Al Kadry:
GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus. - Chufan Gao, Mononito Goswami:
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. - Jiaxuan Chen, Shenglin Gui:
Hybrid Multisource Feature Fusion for the Text Clustering. - Casey Kennington:
The State of SLIVAR: What's next for robots, human-robot interaction, and (spoken) dialogue systems? - Charangan Vasantharajan, Uthayasanker Thayasivam:
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts. - Arash Vaezi, Bodhayan Roy, Mohammad Ghodsi:
Art Gallery Plus Single Specular-reflection. - Mansooreh Karami, Tahora H. Nazer, Huan Liu:
Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors. - Rohit Verma, Sugandh Pargal, Debasree Das, Tanusree Parbat, Sai Shankar Kambalapalli, Bivas Mitra, Sandip Chakraborty:
Impact of Driving Behavior on Commuter's Comfort during Cab Rides: Towards a New Perspective of Driver Rating. - Keith J. Roberts, Alexandre Olender, Lucas Franceschini, Robert C. Kirby, Rafael dos Santos Gioria, Bruno S. Carmo:
Full waveform inversion using triangular waveform adapted meshes. - Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas:
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing. - Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Field-Guide-Inspired Zero-Shot Learning. - Kartik Shenoy, Tejas Dastane, Varun Rao, Devendra Vyavaharkar:
Real-time Indian Sign Language (ISL) Recognition. - Tejas Dastane, Varun Rao, Kartik Shenoy, Devendra Vyavaharkar:
An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique. - Brandon Leung, Siddharth Singh, Arik Horodniceanu:
Domain Adaptation for Real-World Single View 3D Reconstruction. - Nicholas S. Selby, Filippos E. Sotiropoulos, H. Harry Asada:
Physics-Based Causal Lifting Linearization of Nonlinear Control Systems Underpinned by the Koopman Operator. - Melika Golestani, Seyedeh Zahra Razavi, Zeinab Borhanifard, Farnaz Tahmasebian, Hesham Faili:
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering. - Gabriel Intriago, Yu Zhang:
Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems. - Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandström, Bo Liu, Nuno Vasconcelos:
OOWL500: Overcoming Dataset Collection Bias in the Wild. - Flávia Coelho, Nikolaos Tsantalis, Tiago Massoni, Everton L. G. Alves:
An Empirical Study on Refactoring-Inducing Pull Requests. - Leopoldo E. Bertossi:
Reasoning about Counterfactuals and Explanations: Problems, Results and Directions. - Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta:
Wanderlust: Online Continual Object Detection in the Real World. - X. Huang:
Adversary agent reinforcement learning for pursuit-evasion. - Jinto Yamanaka, Yasuhiro Hayase, Toshiyuki Amagasa:
Recommending Extract Method Refactoring Based on Confidence of Predicted Method Name. - Ran Zhang, Duc Minh Nguyen, Miao Wang, Lin X. Cai, Xuemin Shen:
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning. - Huiqun Wang, Ruijie Yang, Di Huang, Yunhong Wang:
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization. - Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi:
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. - Nishant Agrawal, Yaozhong Hu:
Logarithmic Euler Maruyama Scheme for Multi Dimensional Stochastic Delay Differential Equation. - Keyang Wang, Lei Zhang, Wenli Song, Qinghai Lang, Lingyun Qin:
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection. - Yu Wang, Tyler Derr:
Tree Decomposed Graph Neural Network. - Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. - Qusay Idrees Sarhan, Béla Vancsics, Árpád Beszédes:
Method Calls Frequency-Based Tie-Breaking Strategy For Software Fault Localization. - Wenzhao Xiang, Chang Liu, Shibao Zheng:
Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE. - Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. - Shashank Reddy Vadyala, Eric A. Sherer:
Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy. - Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li:
NGC: A Unified Framework for Learning with Open-World Noisy Data. - Palvi Aggarwal, Yinuo Du, Kuldeep Singh, Cleotilde Gonzalez:
Decoys in Cybersecurity: An Exploratory Study to Test the Effectiveness of 2-sided Deception. - Gavin Cook, Junming Huang, Yu Xie:
How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter. - Sanghun Park, Kunhee Kim, Eunseop Lee, Daijin Kim:
Localization Uncertainty-Based Attention for Object Detection. - Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. - Jiyang Yu, Jingen Liu, Liefeng Bo, Tao Mei:
Memory-Augmented Non-Local Attention for Video Super-Resolution. - Elizabeth Ditton, Anne Swinbourne, Trina S. Myers, Mitchell Scovell:
Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms. - Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng:
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images. - Chao Hu, Fan Wu, Weijie Wu, Weibin Qiu, Shengxin Lai:
Normal Learning in Videos with Attention Prototype Network. - Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai:
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms. - Conrad Sanderson, Daniel Edward Pagendam, Brendan Power, Frederick Bennett, Ross Darnell:
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning. - Hyundong Cho, Basel Shbita, Kartik Shenoy, Shuai Liu, Nikhil Patel, Hitesh Pindikanti, Jennifer Lee, Jonathan May:
Viola: A Topic Agnostic Generate-and-Rank Dialogue System. - Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang:
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation. - Tharindu Adikari, Stark C. Draper:
Decentralized optimization with non-identical sampling in presence of stragglers. - Minglei Yuan, Wenhai Wang, Tao Wang, Chunhao Cai, Qian Xu, Tong Lu:
Learning Class-level Prototypes for Few-shot Learning. - Sina Molavipour, Germán Bassi, Mikael Skoglund:
Testing for directed information graphs. - Xiao Cui, Wengang Zhou, Yang Hu, Weilun Wang, Houqiang Li:
Heredity-aware Child Face Image Generation with Latent Space Disentanglement. - Yaping Jing, Xuequan Lu, Shang Gao:
3D Face Recognition: A Survey. - Zhisheng Lu, Hong Liu, Juncheng Li, Linlin Zhang:
Efficient Transformer for Single Image Super-Resolution. - (Withdrawn) Robust AC Transmission Expansion Plans from A Novel Dual Based Bi-level Approach.
- Thanh Tran, Nhat Truong Pham, Jan Lundgren:
Detecting Drill Failure in the Small Short-sound Drill Dataset. - Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng:
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. - Shyamgopal Karthik, Jérôme Revaud, Boris Chidlovskii:
Learning From Long-Tailed Data With Noisy Labels. - Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. - Anthony Boulmier, Nabil Abdennadher, Bastien Chopard:
Towards Informed Partitioning for Load Balancing: a Proof-of-Concept. - Rohan Wadhawan, Tanuj Drall, Shubham Singh, Shampa Chakraverty:
Multi-Attributed and Structured Text-to-Face Synthesis. - Hao Zhang, Xianggong Hong, Li Zhu:
Detecting Small Objects in Thermal Images Using Single-Shot Detector. - Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. - Yanchong Zheng:
Dropout against Deep Leakage from Gradients. - Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Xiangbin Wu:
Multi-lane Unsignalized Intersection Cooperation with Flexible Lane Direction based on Multi-vehicle Formation Control. - Behrooz Khadem, Hamid Ghanbari, Amin Masoumi Souteh:
Correlation Differential Power Analysis Attack to Midori64. - Fanglei Xue, Qiangchang Wang, Guodong Guo:
TransFER: Learning Relation-aware Facial Expression Representations with Transformers. - Chengyu Zheng, Ding Shi, Xuefeng Yan, Dong Liang, Mingqiang Wei, Xin Yang, Yanwen Guo, Haoran Xie:
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection. - Yuqing Song, Shizhe Chen, Qin Jin, Wei Luo, Jun Xie, Fei Huang:
Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training. - Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng:
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access. - Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. - Jianchao Bai:
A New Insight on Augmented Lagrangian Method and Its Extensions. - Raj Dabre, Eiichiro Sumita:
YANMTT: Yet Another Neural Machine Translation Toolkit. - Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang:
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection. - Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. - Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee:
Bridged Adversarial Training. - Georgios Mavroudeas, Guillaume Baudart, Alan Cha, Martin Hirzel, Jim Alain Laredo, Malik Magdon-Ismail, Louis Mandel, Erik Wittern:
Learning GraphQL Query Costs (Extended Version). - Henrik Biermann, Jonas Theiner, Manuel Bassek, Dominik Raabe, Daniel Memmert, Ralph Ewerth:
A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games. - Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation. - Birthe van den Berg, Tom Schrijvers, Casper Bach Poulsen, Nicolas Wu:
Latent Effects for Reusable Language Components: Extended Version. - Andrea Flamini, Riccardo Longo, Alessio Meneghetti:
Cob: a Multidimensional Byzantine Agreement Protocol for Asynchronous Incomplete Networks. - Yurii E. Shishkin, Aleksandr N. Grekov:
Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay. - Shao-Yuan Lo, Poojan Oza, Vishal M. Patel:
Adversarially Robust One-class Novelty Detection. - Sona Ghahremani, Holger Giese:
Hybrid Planning with Receding Horizon: A Case for Meta-self-awareness. - Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification. - Xuan Wu, Jizhong Han, Quanlong Cui, Liang Chen, Yanchun Liang, Han Huang, Heow Pueh Lee, You Zhou, Chunguo Wu:
Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO. - Yash Patel, Giorgos Tolias, Jiri Matas:
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. - Mohammad Sarbaz, Iman Zamani, Mohammad Manthouri, Asier Ibeas:
Hierarchical Optimization-Based Model Predictive Control for a Class of Discrete Fuzzy Large-Scale Systems Considering Time-Varying Delays and Disturbances. - Itay Itzhak, Omer Levy:
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens. - Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. - Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev, Elena Tikhomirova, Timofey Bryksin:
Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching. - Zarina Kurbatova, Vladimir Kovalenko, Ioana Savu, Bob Brockbernd, Dan Andreescu, Matei Anton, Roman Venediktov, Elena Tikhomirova, Timofey Bryksin:
RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information. - Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos:
Subgoal Search For Complex Reasoning Tasks. - Arianna Blasi, Nataliia Stulova, Alessandra Gorla, Oscar Nierstrasz:
RepliComment: Identifying Clones in Code Comments. - Robert Pell, Sotiris Moschoyiannis, Emmanouil Panaousis, Ryan Heartfield:
Towards Dynamic Threat Modelling in 5G Core Networks Based on MITRE ATT&CK. - Robert Pell, Sotiris Moschoyiannis, Emmanouil Panaousis:
Multi-Stage Threat Modelling and Security Monitoring in 5GCN. - Xiaowen Hu, Joshua Karp, David Zhao, Abdul Zreika, Xi Wu, Bernhard Scholz:
The Choice Construct in the Souffle Language. - Jingwei Zhao, Gus Xia:
AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer. - Reto Gubelmann, Peter Hongler, Siegfried Handschuh:
Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain. - Jorge López, Maxime Labonne, Claude Poletti:
Toward Formal Data Set Verification for Building Effective Machine Learning Models. - Giulio Maria Bianco, Cecilia Occhiuzzi, Nicoletta Panunzio, Gaetano Marrocco:
A Guide to Radio Frequency Identification as a Multi-purpose IoT Technology to Manage Pandemics. - Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with overlapping labels. - Manfred Schmidt-Schauß, David Sabel:
Minimal Translations from Synchronous Communication to Synchronizing Locks. 59-75 - Zijun Li, Quan Chen, Minyi Guo:
Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing. - Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. - Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu:
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. - Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang:
YOLOP: You Only Look Once for Panoptic Driving Perception. - Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q.-H. Meng:
On Reciprocally Rotating Magnetic Actuation of a Robotic Capsule in Unknown Tubular Environments. - Dong Li, Chaoyu Quan:
Energy stability of Strang splitting for vector-valued and matrix-valued Allen-Cahn equations. - Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin:
A Case for Sampling Based Learning Techniques in Coflow Scheduling. - Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q.-H. Meng:
Adaptive Simultaneous Magnetic Actuation and Localization for WCE in a Tubular Environment. - Jessy Ceha, Ken Jen Lee, Elizabeth Nilsen, Joslin Goh, Edith Law:
Can a Humorous Conversational Agent Enhance Learning Experience and Outcomes? - Mehdi Khoshboresh-Masouleh, Reza Shah-Hosseini:
Deep few-shot learning for bi-temporal building change detection. - Masoud Behzadinasab, Georgios Moutsanidis, Nathaniel Trask, John T. Foster, Yuri Bazilevs:
Coupling of IGA and Peridynamics for Air-Blast Fluid-Structure Interaction Using an Immersed Approach. - Bin Han:
Multivariate Generalized Hermite Subdivision Schemes. - Yuhao Ding, Yik-Cheung Tam:
Ontology-Enhanced Slot Filling. - Yousof Mardoukhi:
Encoding Scheme For Infinite Set of Symbols: The Percolation Process. - Andreas Frommer, Mostafa Nasr Khalil, Gustavo Ramirez-Hidalgo:
A Multilevel Approach to Variance Reduction in the Stochastic Estimation of the Trace of a Matrix. - Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz:
Automatic Feature Highlighting in Noisy RES Data With CycleGAN. - Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov, Haris Gacanin:
Designing Wireless Powered Networks assisted by Intelligent Reflecting Surfaces with Mechanical Tilt. - Cong Wang, Yan Huang, Yuexian Zou, Yong Xu:
Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing. - Tim Martin, Frank Allgöwer:
Data-driven system analysis of nonlinear systems using polynomial approximation. - Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
Backdoor Attacks on Network Certification via Data Poisoning. - Shuvam Sen, Tony W. H. Sheu:
Fourth order compact scheme for the Navier-Stokes equations on time deformable domains. - Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang:
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records. - Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi:
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing. - Anjan Karmakar, Romain Robbes:
What do pre-trained code models know about code? - Robin Haunschild, Lutz Bornmann:
Report on Workshop III "Cited References Analysis Using CRExplorer" at the 18th International Conference of the International Society for Scientometrics and Informetrics (ISSI2021). - Mundla Narasimhappa:
A new state estimation approach-Adaptive Fading Cubature Kalman filter. - Ítalo Romani de Oliveira, Euclides C. Pinto Neto, Thiago Matsumoto, Huafeng Yu, Emiliano Bartolomé, Guillermo Frontera, Aaron Mayne:
Comparing the Performance of Traffic Coordination Methods for Advanced Aerial Mobility. - Reiner Marchthaler:
Adaptive Extended Kalman Filter (ROSE-Filter) for Positioning System. - Alice Consilvio, Lorenzo Calabrò, Angela Di Febbraro, Nicola Sacco:
A multimodal solution approach for mitigating the impact of planned maintenance on metro rail attractiveness. - Ítalo Romani de Oliveira, Euclides Carlos Pinto Neto, Thiago Toshio Matsumoto, Huafeng Yu:
Decentralized Air Traffic Management for Advanced Air Mobility. - Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. - Samuel Pagliarini:
A Tutorial on Design Obfuscation: from Transistors to Systems. - Joel Q. L. Chang, Vincent Y. F. Tan:
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. - Lucio M. Dery, Yann N. Dauphin, David Grangier:
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral. - Geoffrey William Hamilton:
The Next 700 Program Transformers. - Mahmoud Saad Abouamer, Patrick Mitran:
Joint Uplink-Downlink Resource Allocation for Multi-User IRS-Assisted Systems. - Xavier Claeys, Francis Collino, Emile Parolin:
Matrix form of nonlocal OSM for electromagnetics. - Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin:
Multi-Task Self-Training for Learning General Representations. - Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg:
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. - Amrith Krishna, Sebastian Riedel, Andreas Vlachos:
ProoFVer: Natural Logic Theorem Proving for Fact Verification. - Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs. - Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li:
Blind Image Decomposition. - M. Majid Butt, Anna Pantelidou, István Z. Kovács:
ML-Assisted UE Positioning: Performance Analysis and 5G Architecture Enhancements. - Hari Prasanna Das, Ryan Tran, Japjot Singh, Yu-Wen Lin, Costas J. Spanos:
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training. - Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu:
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization. - Thomas Newton, James Timothy Meech, Phillip Stanley-Marbell:
Machine Learning for Sensor Transducer Conversion Routines. - Jing-Hui Huang, Xue-Ying Duan, Fei-Fan He, Guang-Jun Wang, Xiang-Yun Hu:
A historical review and Bibliometric analysis of research on Weak measurement research over the past decades based on Biblioshiny. - Marios Mattheakis, Hayden Joy, Pavlos Protopapas:
Unsupervised Reservoir Computing for Solving Ordinary Differential Equations. - Ziyue Feng, Yu Chen, Shitao Chen, Nanning Zheng:
Model-based Decision Making with Imagination for Autonomous Parking. - HeuiChan Lim, Stephen G. Kobourov:
Visualizing JIT Compiler Graphs. - Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. - Siyang Wang, Simon Alexanderson, Joakim Gustafson, Jonas Beskow, Gustav Eje Henter, Éva Székely:
Integrated Speech and Gesture Synthesis. - Jun Wang, Hefeng Zhou, Xiaohan Yu:
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining. - Vinod Ganesan, Pratyush Kumar:
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. - Markus Chimani, Max Ilsen, Tilo Wiedera:
Star-Struck by Fixed Embeddings: Modern Crossing Number Heuristics. - Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang:
PIVODL: Privacy-preserving vertical federated learning over distributed labels. - Yucel Aydin, Gunes Karabulut-Kurt, Enver Ozdemir, Halim Yanikomeroglu:
Group Authentication for Drone Swarms. - Emery Pierson, Mohamed Daoudi, Alice Barbara Tumpach:
A Riemannian Framework for Analysis of Human Body Surface. - Giuseppe Marra, Sebastijan Dumancic, Robin Manhaeve, Luc De Raedt:
From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey. - Yunis Ali Ahmed, Mohamed M. Mohamed, Abdifatah Farah Ali, Mohamud M. Alasso, Ahmed Dahir Siyad, Mohammad Nazir Ahmad:
Evaluating Students Perspectives on ICT Readiness in Somali Higher Education towards Teaching - Learning Acceptance. - Sean Roelofs, Benoit Landry, Myra Kurosu Jalil, Adrian Martin, Saisneha Koppaka, Sindy K. Y. Tang, Marco Pavone:
Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments. - Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu:
Reducing Label Effort: Self-Supervised meets Active Learning. - Ben Carterette, Rosie Jones, Gareth J. F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff:
Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search. - Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John:
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches. - David Wuthier, Francesco Rovida, Matteo Fumagalli, Volker Krüger:
Productive Multitasking for Industrial Robots. - François Baccelli, Sanket S. Kalamkar:
Bandwidth Allocation and Service Differentiation in D2D Wireless Networks. - Pawel Gawrychowski, Mateusz Rzepecki:
Faster Exponential Algorithm for Permutation Pattern Matching. - David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz:
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. - Craig Macdonald, Nicola Tonellotto:
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. - Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic:
ETA Prediction with Graph Neural Networks in Google Maps. - Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar:
Heavy-tailed Streaming Statistical Estimation. - Markus Langer, Tim Hunsicker, Tina Feldkamp, Cornelius J. König, Nina Grgic-Hlaca:
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems? - Laura Monroe:
A Class of Trees Having Near-Best Balance. - Ibrahim E. Bardakci, Sahar Hojjatinia, Sarah Hojjatinia, Constantino M. Lagoa, David E. Conroy:
Model Predictive Control approach to adaptive messaging intervention for physical activity. - Zhaoheng Zheng, Arka Sadhu, Ram Nevatia:
Improving Object Detection and Attribute Recognition by Feature Entanglement Reduction. - Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner:
Maneuver Identification Challenge. - Taekyung Heo, Seunghyo Kang, Sanghyeon Lee, Soojin Hwang, Jaehyuk Huh:
Hardware-assisted Trusted Memory Disaggregation for Secure Far Memory. - Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides:
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey. - Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. - Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu:
Bilateral Denoising Diffusion Models. - Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta:
Robust High-Resolution Video Matting with Temporal Guidance. - Khushal Sethi:
Efficient On-Chip Communication for Parallel Graph-Analytics on Spatial Architectures. - Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling:
SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations. - Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Supercomputing Enabled Deployable Analytics for Disaster Response. - Jie Gao, Ruobin Gong, Fang-Yi Yu:
Subspace Differential Privacy. - Shiyou Lian:
A New Interpolation Approach and Corresponding Instance-Based Learning. - Matheus Barros Pereira, Jefersson Alex dos Santos:
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation. - Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao:
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios. - Wansen Wu, Tao Chang, Xinmeng Li:
Visual-and-Language Navigation: A Survey and Taxonomy. - Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth:
Dynamic Structural Clustering on Graphs. - Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. - Dong Wang:
An efficient unconditionally stable method for Dirichlet partitions in arbitrary domains. - Harsh Rathod, Manisimha Varma, Parna Chowdhury, Sameer Saxena, V. Manushree, Ankita Ghosh, Sahil Khose:
XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches. - Bo Pang, Ying Nian Wu:
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification. - Yuhang Li, Yuhao Zhou, Junbin Huang, Zijun Wang, Shunjie Zhu, Kairong Wu, Li Zheng, Jiajin Luo, Rui Cao, Yun Zhang, Zhifeng Huang:
Design of a Flying Humanoid Robot Based on Thrust Vector Control. - Mingqiu Du, Georgia Pierrou, Xiaozhe Wang, Marthe Kassouf:
Targeted False Data Injection Attacks Against AC State Estimation Without Network Parameters. - Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. - Takashi Takekawa:
Fast parallel calculation of modified Bessel function of the second kind and its derivatives. - Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim:
CoSEM: Contextual and Semantic Embedding for App Usage Prediction. - Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff:
Adaptive Control of Differentially Private Linear Quadratic Systems. - Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yufeng Li:
Robust Long-Tailed Learning under Label Noise. - Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan:
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware. - Dajun Du, Changda Zhang, Xue Li, Minrui Fei, Taicheng Yang, Huiyu Zhou:
Secure Control of Networked Control Systems Using Dynamic Watermarking. - Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen:
Understanding Attention in Machine Reading Comprehension. - Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu:
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. - Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck:
Machine Unlearning of Features and Labels. - Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman:
Modeling Item Response Theory with Stochastic Variational Inference. - Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang:
AVATAR: A Parallel Corpus for Java-Python Program Translation. - Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei:
LayoutReader: Pre-training of Text and Layout for Reading Order Detection. - Yiqi Gu, Michael K. Ng:
Deep Ritz method for the spectral fractional Laplacian equation using the Caffarelli-Silvestre extension. - Ruofei Bai, Ronghao Zheng, Meiqin Liu, Senlin Zhang:
Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications. - Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. - Md. Mohsin Sarker Raihan, Muhammad Muinul Islam, Fariha Fairoz, Abdullah Bin Shams:
Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning. - Yangming Li, Lemao Liu, Shuming Shi:
Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition. - Lukas Hindemith, Anna-Lisa Vollmer, Christiane B. Wiebel-Herboth, Britta Wrede:
Improving HRI through robot architecture transparency. - Ronghan Chen, Yang Cong, Jiahua Dong:
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. - Blanca Ayuso de Dios, Thirupathi Gudi, Kamana Porwal:
Pointwise A Posteriori Error Analysis of a Discontinuous Galerkin Method for the Elliptic Obstacle Problem. - Artur Czumaj, Andrzej Lingas:
On Truly Parallel Time in Population Protocols. - Revant Teotia, Vaibhav Mishra, Mayank Maheshwari, Anand Mishra:
Few-shot Visual Relationship Co-localization. - Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q.-H. Meng:
Trajectory Following of a Reciprocally Rotating Magnetic Capsule in a Tubular Environment. - Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. - Joosung Lee, Wooin Lee:
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation. - Shao-Wei Fan-Jiang, Bi-Cheng Yan, Tien-Hong Lo, Fu-An Chao, Berlin Chen:
Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods. - Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert:
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree. - Lina Su, Ne Wang, Ruiting Zhou, Zongpeng Li:
Online Service Placement and Request Scheduling in MEC Networks. - Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong:
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. - Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song:
SketchLattice: Latticed Representation for Sketch Manipulation. - Nathanaël Carraz Rakotonirina:
Self-Attention for Audio Super-Resolution. - Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao:
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. - Rui Li:
A promotion for odd symmetric discrete Fourier transform. - Yuyi Zhong, Quang-Trung Ta, Tianzuo Luo, Fanlong Zhang, Siau-Cheng Khoo:
Scalable and Modular Robustness Analysis of Deep Neural Networks. - Sk Mainul Islam, Sourangshu Bhattacharya:
Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis. - Wenlin Chen, Fang Lu, Yan Dong:
Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast. - P. Naga Yasasvi, Abheejeet Mohapatra, Suresh Chandra Srivastava:
Robust AC Transmission Expansion Planning with Load and Renewable Generation Uncertainties. - Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial. - Alex Shonenkov, Denis Karachev, Maxim Novopoltsev, Mark Potanin, Denis Dimitrov:
StackMix and Blot Augmentations for Handwritten Text Recognition. - Ales Horák, Vít Baisa, Ondrej Herman:
Technological Approaches to Detecting Online Disinformation and Manipulation. - Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli:
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference. - Bastian Pfeifer, Anna Saranti, Andreas Holzinger:
Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI. - Juan José González-Abril, Germán Vidal:
A Program Instrumentation for Prefix-Based Tracing in Message-Passing Concurrency. - Zhi Deng, Yuxin Yao, Bailin Deng, Juyong Zhang:
A Robust Loss for Point Cloud Registration. - Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath:
Disentangling ODE parameters from dynamics in VAEs. - Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning. - Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Ye Luo, Jianwei Lu:
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning. - Ting-Yun Chang, Chi-Jen Lu:
Rethinking Why Intermediate-Task Fine-Tuning Works. - Attai Ibrahim Abubakar, Cihat Öztürk, Metin Öztürk, Michael S. Mollel, Syed Muhammad Asad, Naveed Ul Hassan, Sajjad Hussain, Muhammad Ali Imran:
Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets. - Besik Dundua:
PρLog: a system for rule-based programming. - Usama Yaseen, Stefan Langer:
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation. - Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings:
SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling. - James Neve, Ryan McConville:
Photos Are All You Need for Reciprocal Recommendation in Online Dating. - Soroush Seifi, Abhishek Jha, Tinne Tuytelaars:
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration. - Karl Meinke:
Code Coverage and Test Automation: State of the Art. - Yonatan Yehezkeally, Sagi Marcovich, Eitan Yaakobi:
Multi-strand Reconstruction from Substrings. - Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh:
Learning to Diversify for Single Domain Generalization. - Zhiwei Ma, Haojie Li, Zhihui Wang, Dan Yu, Tianyi Wang, Yingshuang Gu, Xin Fan, Zhongxuan Luo:
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset. - Hangjie Yuan, Dong Ni, Mang Wang:
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition. - Zhongyi Zhou, Koji Yatani:
Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization. - Dan Hudson, Travis J. Wiltshire, Martin Atzmueller:
Local Exceptionality Detection in Time Series Using Subgroup Discovery. - Stefan Dziwok, Thorsten Koch, Sven Merschjohann, Boris Budweg, Sebastian Leuer:
AppSecure.nrw Software Security Study. - Jun Lu:
A survey on Bayesian inference for Gaussian mixture model. - Agnik Banerjee, Peter Washington, Cezmi Mutlu, Aaron Kline, Dennis P. Wall:
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices. - Zainab Nisar, Hammad Munawar:
System Identification and Controller Design for Hydraulic Actuator. - Thomas Olschewski:
Fast Accurate Defect Detection in Wafer Fabrication. - Fabian Nemazi, Jon Nordby:
Determining the origin of impulsive noise events using paired wireless sound sensors. - Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian:
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. - Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. - Jing Xiong, Pengyang Zhou, Alan Chen, Yu Zhang:
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach. - Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell:
Physical Adversarial Attacks on an Aerial Imagery Object Detector. - Jens Bayer, David Münch, Michael Arens:
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection. - Therese Biedl, Giuseppe Liotta, Jayson Lynch, Fabrizio Montecchiani:
Optimal-area visibility representations of outer-1-plane graphs. - Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya:
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy. - Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. - Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li:
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. - Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo:
Multi-Modulation Network for Audio-Visual Event Localization. - Maria Tzelepi, Anastasios Tefas:
Quadratic mutual information regularization in real-time deep CNN models. - Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos:
Parallelised Diffeomorphic Sampling-based Motion Planning. - Bruno Henrique Pachulski Camara, Marco Aurélio Graciotto Silva, André Takeshi Endo, Silvia R. Vergilio:
On the use of test smells for prediction of flaky tests. - Guillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez:
A Hierarchical Assessment of Adversarial Severity. - Giuseppe Placidi, Luigi Cinque, Filippo Mignosi, Matteo Polsinelli:
Multiple Sclerosis Lesions Identification/Segmentation in Magnetic Resonance Imaging using Ensemble CNN and Uncertainty Classification. - Antoine Louis, Gerasimos Spanakis, Gijs van Dijck:
A Statutory Article Retrieval Dataset in French. - Rubel Biswas, Pablo Blanco-Medina:
State of the Art: Image Hashing. - Maria Tzelepi, Anastasios Tefas:
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation. - Shreyas Ramakrishna, Zahra RahimiNasab, Gabor Karsai, Arvind Easwaran, Abhishek Dubey:
Efficient Out-of-Distribution Detection Using Latent Space of β-VAE for Cyber-Physical Systems. - Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. - José Manuel Navarro, Alexis Huet, Dario Rossi:
Human readable network troubleshooting based on anomaly detection and feature scoring. - Bruce Nguyen, Shaoxiong Ji:
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification. - Yoon Kyung Lee, Inju Lee, Jae Eun Park, Yoonwon Jung, Jiwon Kim, Sowon Hahn:
A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts. - Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul:
When should agents explore? - Mohamed Yaoumi, Jérémy Nadal, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau:
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. - Banwari Lal, Rachit Agarwal, Sandeep Kumar Shukla:
Understanding Money Trails of Suspicious Activities in a cryptocurrency-based Blockchain. - Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao:
Mining Contextual Information Beyond Image for Semantic Segmentation. - Rubel Biswas, Pablo Blanco-Medina:
State of the Art: Face Recognition. - Leonid Antsfeld, Boris Chidlovskii:
Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning. - Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong:
Fast and Flexible Human Pose Estimation with HyperPose. - Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. - Yiting Hu, Xiling Luo, Dongmei Bai:
Passenger Congestion Alleviation in Large Hub Airport Ground Access System Based on Queueing Theory. - N. S. Kamal, Barathi Ganesh HB, Sajith Variyar VV, V. Sowmya, Soman K. P.:
Geometry Based Machining Feature Retrieval with Inductive Transfer Learning. - Nikolas Becker, Pauline Junginger, Lukas Martinez, Daniel Krupka, Leonie Beining:
AI at work - Mitigating safety and discriminatory risk with technical standards. - Bin Liu:
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks. - Shichao Sun, Wenjie Li:
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization. - Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower bounds for integration and recovery in L2. - Elena V. Epure, Romain Hennequin:
A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition. - Sicheng Liang, Xiangyong Zeng, Zibi Xiao, Zhimin Sun:
Binary sequences with length n and nonlinear complexity not less than n/2. - Arsh Tangri, Dhruv Joshi, Ashalatha Nayak:
Auxiliary Heuristics for Frontier Based Planners. - Van-Linh Nguyen, Po-Ching Lin, Bo-Chao Cheng, Ren-Hung Hwang, Ying-Dar Lin:
Security and privacy for 6G: A survey on prospective technologies and challenges. - Hashim A. Hashim, Mohammed I. Abouheaf, Mohammad A. Abido:
Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion. - Thi Thu Ha Doan, Peter Thiemann:
A Typed Programmatic Interface to Contracts on the Blockchain. - Ion Victor Gosea, Charles Poussot-Vassal, Athanasios C. Antoulas:
Data-driven modeling and control of large-scale dynamical systems in the Loewner framework. - Christopher R. Anderson:
High Order Accurate Solution of Poisson's Equation in Infinite Domains for Smooth Functions. - Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. - Junhua Wang, Kun Zhu, Ekram Hossain:
Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking. - Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. - Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu:
Enabling SQL-based Training Data Debugging for Federated Learning. - Giannis Petousakis, Manolis Chiou, Grigoris Nikolaou, Rustam Stolkin:
Human operator cognitive availability aware Mixed-Initiative control. - Mohammad Hashemi, Bijan Alizadeh:
FPGA-based Implementation of a New Data Frame Correction System for Merging Units. - Jiaju Qi, Qihao Zhou, Lei Lei, Kan Zheng:
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges. - Tyler Helmuth, Holden Lee, Will Perkins, Mohan Ravichandran, Qiang Wu:
Approximation algorithms for the random-field Ising model. - Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. - Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-constrained Edge Computing Systems. - Haoyu Zuo, Yuan Yin, Peter R. N. Childs:
Patent-KG: A Patent Knowledge Graph for Engineering Design. - Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. - Rodi Jolak, Andreas Wortmann, Grischa Liebel, Eric Umuhoza, Michel R. V. Chaudron:
Design Thinking and Creativity of Co-located vs. Globally Distributed Software Developers. - Guodun Li, Yuchen Zhai, Zehao Lin, Yin Zhang:
Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning. - Anjul Kumar Tyagi, Jian Zhao, Pushkar Patel, Swasti Khurana, Klaus Mueller:
User-Centric Semi-Automated Infographics Authoring and Recommendation. - Dongsheng Chen, Zhiqi Huang, Yuexian Zou:
HAN: Higher-order Attention Network for Spoken Language Understanding. - Jesus Antonanzas, Marta Arias, Albert Bifet:
Sketches for Time-Dependent Machine Learning. - Mathias Hockmann, Stefan Kunis:
Sparse super resolution is Lipschitz continuous. - Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. - Wajih Bou Karam, Stefano Zampini, George Turkiyyah, David E. Keyes:
H2OPUS-TLR: High Performance Tile Low Rank Symmetric Factorizations using Adaptive Randomized Approximation. - Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. - Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu:
Semantically Coherent Out-of-Distribution Detection. - Miguel Arana-Catania, Felix-Anselm van Lier, Rob Procter:
Machine Learning for Mediation in Armed Conflicts. - Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews:
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. - Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis:
Probabilistic Modeling for Human Mesh Recovery. - Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments. - Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou:
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. - Juri Opitz, Angel Daza, Anette Frank:
Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity. - Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han:
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. - Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-modal Contrastive Features for Video Domain Adaptation. - Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. - Song-Ju Kim, Hiroyuki Yasuda, Ryoma Kitagawa, Mikio Hasegawa:
Resource allocation method using tug-of-war-based synchronization. - Luis Felipe Parra-Gallego, Juan Rafael Orozco-Arroyave:
Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments. - Lars Lindemann, Matthew Cleaveland, Yiannis Kantaros, George J. Pappas:
Robust Motion Planning in the Presence of Estimation Uncertainty. - Minglang Yin, Ehsan Ban, Bruno V. Rego, Enrui Zhang, Cristina Cavinato, Jay D. Humphrey, George Em Karniadakis:
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network. - Danilo Almeida Felipe, Marcos Kalinowski:
On Psychometric Instruments in Software Engineering Research: An Ongoing Study. - Pedro M. N. Sequeira, António Pedro Aguiar, João P. Hespanha:
Commutative Monoid Formalism for Weighted Coupled Cell Networks and Invariant Synchrony Patterns. - Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang:
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization. - Melika Golestani, Seyedeh Zahra Razavi, Heshaam Faili:
A New Sentence Ordering Method Using BERT Pretrained Model. - Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson:
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. - Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee:
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. - Kevin W. Smith, Moshe Y. Vardi:
Automata Linear Dynamic Logic on Finite Traces. - Cory Stephenson, Tyler Lee:
When and how epochwise double descent happens. - Weibang Bai, Ningshan Zhang, Baoru Huang, Ziwei Wang, Francesco Cursi, Ya-Yen Tsai, Bo Xiao, Eric M. Yeatman:
Dual-arm Coordinated Manipulation for Object Twisting with Human Intelligence. - Taewoon Kim, Piek Vossen:
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa. - Jie Mei, Xianbin Wang, Kan Zheng:
Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-free Deep Reinforcement Learning Approach. - Sepehr Sabour, Sanjeev Rao, Majid Ghaderi:
DeepFlow: Abnormal Traffic Flow Detection Using Siamese Networks. - Rajesh Jayaram, David P. Woodruff, Samson Zhou:
Truly Perfect Samplers for Data Streams and Sliding Windows. - Loïc Kwate Dassi:
Semantic-based Self-Critical Training For Question Generation. - Gowri Sankar Ramachandran, Sidra Malik, Shantanu Pal, Ali Dorri, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Blockchain in Supply Chain: Opportunities and Design Considerations. - Pietro Musoni, Riccardo Marin, Simone Melzi, Umberto Castellani:
A functional skeleton transfer. - Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
A Tutorial on Learning Disentangled Representations in the Imaging Domain. - Enyan Dai, Suhang Wang:
Towards Self-Explainable Graph Neural Network. - Shawn L. Beaulieu, Jeff Clune, Nick Cheney:
Continual learning under domain transfer with sparse synaptic bursting. - Ru Yang, Maryam Edalati:
Using GAN-based models to sentimental analysis on imbalanced datasets in education domain. - Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox:
Predicting Stable Configurations for Semantic Placement of Novel Objects. - Alessandro Bruno:
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences. - Zhilong Wang, Haizhou Wang, Hong Hu, Peng Liu:
Identifying Non-Control Security-Critical Data in Program Binaries with a Deep Neural Model. - Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo:
Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method. - Hyuntae Cho, Yesom Park, Myungjoo Kang:
Solving incompressible Navier-Stokes equations on irregular domains and quadtrees by monolithic approach. - Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan:
4-bit Quantization of LSTM-based Speech Recognition Models. - Ibrahim Mesecan, Daniel Blackwell, David Clark, Myra B. Cohen, Justyna Petke:
HyperGI: Automated Detection and Repair of Information Flow Leakage. - Nasif Imtiaz, Seaver Thorn, Laurie A. Williams:
A Comparative Study of Vulnerability Reporting by Software Composition Analysis Tools. - Yuan Yao, Mo Yang, Pantea Kiaei, Patrick Schaumont:
Dimming Down LED: An Open-source Threshold Implementation on Light Encryption Device (LED) Block Cipher. - Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed:
Detection and Continual Learning of Novel Face Presentation Attacks. - Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang:
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. - Jaykumar Vaidya, R. S. Surya Kanthi, Shamiul Alam, Nazmul Amin, Ahmedullah Aziz, Nikhil Shukla:
A Three-terminal Non-Volatile Ferroelectric Switch with an Insulator-Metal Transition Channel. - Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, Michael L. Nelson:
Replaying Archived Twitter: When your bird is broken, will it bring you down? - Shi-Ying Lan, Run-Qing Chen, Wan-Lei Zhao:
Anomaly Detection on IT Operation Series via Online Matrix Profile. - Yunhai Han, Sonia Martínez:
A Numerical Verification Framework for Differential Privacy in Estimation. - Yuezheng Gong, Yue Chen, Chuwu Wang, Qi Hong:
A new class of high-order energy-preserving schemes for the Korteweg-de Vries equation based on the quadratic auxiliary variable (QAV) approach. - Cem Anil, Guodong Zhang, Yuhuai Wu, Roger B. Grosse:
Learning to Give Checkable Answers with Prover-Verifier Games. - Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, Yifan Peng, Jinjie Gu:
A framework for massive scale personalized promotion. - Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan:
FOVEA: Foveated Image Magnification for Autonomous Navigation. - Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang:
Binocular Mutual Learning for Improving Few-shot Classification. - Yuzi Yan, Wei-Qiang Zhang, Michael T. Johnson:
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement. - Nisheeth K. Vishnoi:
An Introduction to Hamiltonian Monte Carlo Method for Sampling. - Xinran Zhang, Maosong Sun, Jiafeng Liu, Xiaobing Li:
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System. - Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen:
Subjective Learning for Open-Ended Data. - Ali Boyali, Simon Thompson, David Robert Wong:
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference. - Tatpong Katanyukul, Pisit Nakjai:
Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition. - Raian Rahman, Zadid Bin Azad, Md. Bakhtiar Hasan:
Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling. - Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang:
Reinforcement Learning-powered Semantic Communication via Semantic Similarity. - Harshit Daga, Yiwen Chen, Aastha Agrawal, Ada Gavrilovska:
Canoe : A System for Collaborative Learning for Neural Nets. - Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng:
Automated Generation of Accurate & Fluent Medical X-ray Reports. - Viv Bone, Michael Kearney, Ingo Jahn:
Towards model predictive control of supercritical CO2 cycles. - Qiongqiong Wang, Kong Aik Lee, Takafumi Koshinaka, Koji Okabe, Hitoshi Yamamoto:
Task-aware Warping Factors in Mask-based Speech Enhancement. - Keshav Srinivasan, Nolan Coble, Joy Hamlin, Thomas M. Antonsen Jr., Edward Ott, Michelle Girvan:
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks. - Arjit Sharma, Sahil Sharma:
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving. - Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. - Shengyao Zhuang, Guido Zuccon:
Dealing with Typos for BERT-based Passage Retrieval and Ranking. - Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. - Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang:
Lyra: A Benchmark for Turducken-Style Code Generation. - Shenghua Hu, Jing Wang, Yujun Wang, Wenjing Yang:
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting. - Sabiha Tahrat, Salima Benbernou, Mourad Ouziri:
Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics. - Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo:
A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images. - Iuliia Nigmatulina, Rudolf A. Braun, Juan Zuluaga-Gomez, Petr Motlícek:
Improving callsign recognition with air-surveillance data in air-traffic communication. - Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework. - Reza Soosahabi:
SPARROW: A Novel Covert Communication Scheme Exploiting Broadcast Signals in LTE, 5G & Beyond. - Jian-Feng Cai, Jingyang Li, Dong Xia:
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization. - Akihito Sudo, Teck-Hou Teng, Masaki Yamaguchi, Yoshinori Tone:
LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links. - Séverin Lemaignan, Nigel Newbutt, Louis Rice, Joe Daly, Vicky Charisi:
UNICEF Guidance on AI for Children: Application to the Design of a Social Robot For and With Autistic Children. - Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlícek, Oliver Ohneiser, Hartmut Helmke, Seyyed Saeed Sarfjoo, Iuliia Nigmatulina:
Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR. - Yang Yang, Min Li, Bo Meng, Junxing Ren, Degang Sun, Zihao Huang:
Rethinking the Aligned and Misaligned Features in One-stage Object Detection. - Adeep Hande, Karthik Puranik, Konthala Yasaswini, Ruba Priyadharshini, Sajeetha Thavareesan, Anbukkarasi Sampath, Kogilavani Shanmugavadivel, Durairaj Thenmozhi, Bharathi Raja Chakravarthi:
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling. - Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. - Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. - Paul Bergold, Caroline Lasser:
An Error Representation for the Time-Sliced Thawed Gaussian Propagation Method. - Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon:
GLocal-K: Global and Local Kernels for Recommender Systems. - Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis:
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. - Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski:
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions. - Gianmarco Spinaci, Giovanni Colavizza, Silvio Peroni:
A map of Digital Humanities research across bibliographic data sources. - Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection. - Pascal Schneider, Yuriy Anisimov, Raisul Islam, Bruno Mirbach, Jason R. Rambach, Frédéric Grandidier, Didier Stricker:
TIMo - A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera. - Marina Fomicheva, Lucia Specia, Nikolaos Aletras:
Translation Error Detection as Rationale Extraction. - Eike-Manuel Bansbach, Victor Eliachevitch, Laurent Schmalen:
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information. - Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu:
Learning primal-dual sparse kernel machines. - Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei:
A Partition Filter Network for Joint Entity and Relation Extraction. - Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer:
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. - Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. - Jordi Altayó González, Dimitrios Stathis, Ahmed Hemani:
Synthesis of Predictable Global NoC by Abutment in Synchoros VLSI Design. - Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna:
Machine Learning for Performance Prediction of Spark Cloud Applications. - Ryo Nagata, Manabu Kimura, Kazuaki Hanawa:
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors. - Tatiana Petrova, Dmitri Soshnikov, Andrey Grunin:
COVID-19 reproduction number estimated from SEIR model: association with people's mobility in 2020. - Peter Buchholz:
On the Representation of Correlated Exponential Distributions by Phase Type Distributions. - Johannes Kopp, Dominik Kellner, Aldi Piroli, Klaus Dietmayer:
Fast Rule-Based Clutter Detection in Automotive Radar Data. - Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Gary Wang, Pedro J. Moreno:
Injecting Text in Self-Supervised Speech Pretraining. - Dominik Sobania, Dirk Schweim, Franz Rothlauf:
Recent Developments in Program Synthesis with Evolutionary Algorithms. - Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy:
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. - Milad Moradi, Matthias Samwald:
Evaluating the Robustness of Neural Language Models to Input Perturbations. - Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. - Camille Bourgaux, Ana Ozaki, Jeff Z. Pan:
Geometric Models for (Temporally) Attributed Description Logics. - Salvatore Cielo, Oliver Porth, Luigi Iapichino, Anupam Karmakar, Hector Olivares, Chun Xia:
Optimizing the hybrid parallelization of BHAC. - Milad Moradi, Kathrin Blagec, Matthias Samwald:
Deep learning models are not robust against noise in clinical text. - Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi:
Active Inference for Stochastic Control. - Carolin E. Brandt, Andy Zaidman:
Developer-Centric Test Amplification The Interplay Between Automatic Generation and Human Exploration. - Anna M. Kruspe, Matthias Häberle, Eike Jens Hoffmann, Samyo Rode-Hasinger, Karam Abdulahhad, Xiao Xiang Zhu:
Changes in Twitter geolocations: Insights and suggestions for future usage. - Silvia Masiero, Aleksi Aaltonen:
Assessing Gender Bias in the Information Systems Field: An Analysis of the Impact on Citations. - Daniel Schwabe:
Information Disorders, Moral Values and the Dispute of Narratives. - Gabriel San Martín, Enrique López Droguett:
Quantum Machine Learning for Health State Diagnosis and Prognostics. - Rong-Ching Chang, Chu-Hsing Lin:
Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic. - Kevin Blin, Andrei Kucharavy:
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs? - Andrew Golczynski, John A. Emanuello:
End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings. - Fei Ye, Adrian G. Bors:
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. - Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. - Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber:
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. - Sander C. van den Berg, Rob B. N. Scharff, Zoltán Rusák, Jun Wu:
OpenFish: Biomimetic Design of a Soft Robotic Fish for High Speed Locomotion. - Faheem Hussain, Suzana Brown:
Key Lessons Learned from Working During Covid-19 on a Project in the World's Biggest Refugee Camp. - Valerie Ryan, TingFang Lee, Ashley L. Buchanan, Natallia V. Katenka, Samuel R. Friedman, Georgios Nikolopoulos:
Evaluation of individual attributes associated with shared HIV risk behaviors among two network-based studies of people who inject drugs. - Gunnar Stefansson, Anna Helga Jónsdóttir, Thorarinn Jonmundsson, Gylfi Snaer Sigurdsson, Ingunn Lilja Bergsdottir:
Identifying rote learning and the supporting effects of hints in drills. - Eric Horvitz, Jessica Young, Rama G. Elluru, Chuck Howell:
Key Considerations for the Responsible Development and Fielding of Artificial Intelligence. - Carlos Hernandez-Olivan, José Ramón Beltrán:
Music Composition with Deep Learning: A Review. - Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck:
Optimal piecewise linear data compression for solutions of parametrized partial differential equations. - Altug Süral, Ertugrul Kolagasioglu:
Terabit-per-Second Multicore Polar Code Successive Cancellation Decoders. - Md Geaur Rahman, Md Zahidul Islam:
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization. - Cancheng Li, Chuanbo Qin, Jing Fang:
Motor-imagery classification model for brain-computer interface: a sparse group filter bank representation model. - Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh:
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain. - Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber:
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems. - Lisa Jin, Daniel Gildea:
Tree Decomposition Attention for AMR-to-Text Generation. - Dmitry S. Kulyabov, Anna V. Korolkova:
Computer algebra in Julia. - Christoph Buchheim, Dorothee Henke, Jannik Irmai:
The stochastic bilevel continuous knapsack problem with uncertain follower's objective. - Lisa Jin, Daniel Gildea:
Latent Tree Decomposition Parsers for AMR-to-Text Generation. - Andrea Ferlini, Dong Ma, Robert Harle, Cecilia Mascolo:
EarGate: Gait-based User Identification with In-ear Microphones. - Emma Reznick, Kyle R. Embry, Ross M. Neuman, Edgar A. Bolívar-Nieto, Nicholas P. Fey, Robert D. Gregg:
Lower-limb kinematics and kinetics during continuously varying human locomotion. - Rajjat Dadwal, Thorben Funke, Elena Demidova:
An Adaptive Clustering Approach for Accident Prediction. - Fanxin Xu, Xiangkui Li, Hang Yang, Yali Wang, Wei Xiang:
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection. - Samaikya Valluripally, Vaibhav Akashe, Michael Fisher, David Falana, Khaza Anuarul Hoque, Prasad Calyam:
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments. - Richard Plant, Dimitra Gkatzia, Valerio Giuffrida:
CAPE: Context-Aware Private Embeddings for Private Language Learning. - Patrizio Angelini, Philipp Kindermann, Andre Löffler, Lena Schlipf, Antonios Symvonis:
One-Bend Drawings of Outerplanar Graphs Inside Simple Polygons. - Timothy J. Baker, John P. Hayes:
CeMux: Maximizing the Accuracy of Stochastic Mux Adders and an Application to Filter Design. - Sujoy Bhore, Giordano Da Lozzo, Fabrizio Montecchiani, Martin Nöllenburg:
On the Upward Book Thickness Problem: Combinatorial and Complexity Results. - Diego Calvanese, Alessandro Gianola, Andrea Mazzullo, Marco Montali:
SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version). - Jandson S. Ribeiro, Ricardo Guimarães, Ana Ozaki:
Revising Ontologies via Models: The ALC-formula Case. - Remo Pareschi, Federico Zappone:
Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading. - Hao Chen:
Explicit Good Subspace-metric and Subset-metric Codes as Insertion-deletion Codes. - Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. - Rachel Cooper, Andrey A. Popov, Adrian Sandu:
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. - Beatriz Cabrero Daniel, Ricardo Marques, Ludovic Hoyet, Julien Pettré, Josep Blat:
A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation. - Marco Comini, María-del-Mar Gallardo, Alicia Villanueva:
A denotational semantics for PROMELA addressing arbitrary jumps. - Ashutosh Sao, Nicolas Tempelmeier, Elena Demidova:
Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting. - Yash Vyas, Mike Allenspach, Christian Lanegger, Roland Siegwart, Marco Tognon:
Modelling and Estimation of Human Walking Gait for Physical Human-Robot Interaction. - Fatemeh Shahsavari, Zohreh Shaghaghian:
Application of Classification and Feature Selection in Building Energy Simulations. - Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi:
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. - Arpita Gang, Waheed U. Bajwa:
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. - Muhammad Mobaidul Islam, Abdullah Al Redwan Newaz, Ali Karimoddini:
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data. - Qusay Idrees Sarhan, Attila Szatmári, Rajmond Tóth, Árpád Beszédes:
CharmFL: A Fault Localization Tool for Python. - Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Yu:
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation. - Shihao Zhou, Mengxi Jiang, Shanshan Cai, Yunqi Lei:
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction. - Paulo Silva, Miguel Matos, João Barreto:
NimbleChain: Low-latency consensusless cryptocurrencies in general-purpose permissionless blockchains. - Momona Yamagami, Sasa Junuzovic, Mar González-Franco, Eyal Ofek, Edward Cutrell, John R. Porter, Andrew D. Wilson, Martez E. Mott:
Two-In-One: A Design Space for Mapping Unimanual Input into Bimanual Interactions in VR for Users with Limited Movement. - Mahender Kumar, Satish Chand:
Pairing for Greenhorn: Survey and Future Perspective. - Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas L. Symeonidis:
Prior Signal Editing for Graph Filter Posterior Fairness Constraints. - Ofir Press, Noah A. Smith, Mike Lewis:
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. - Valentina Lenarduzzi, Oscar Dieste, Davide Fucci, Sira Vegas:
Towards a Methodology for Participant Selection in Software Engineering Experiments. A Vision of the Future. - Mustafa Doger, Sennur Ulukus:
Group Testing with Non-identical Infection Probabilities. - Jess Whittlestone, Jack Clark:
Why and How Governments Should Monitor AI Development. - Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. - Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero III:
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models. - Kien Nguyen, John Krumm, Cyrus Shahabi:
Quantifying Intrinsic Value of Information of Trajectories. - Shashwat Goel, Kunwar Shaanjeet Singh Grover:
From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation. - Nadhir Hassen, Irina Rish:
Approximate Bayesian Optimisation for Neural Networks. - Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida:
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. - Stephane Durocher, J. Mark Keil, Saeed Mehrabi, Debajyoti Mondal:
Bottleneck Convex Subsets: Finding k Large Convex Sets in a Point Set. - Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloé Clavel:
Code-switched inspired losses for generic spoken dialog representations. - Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu:
Learning Inner-Group Relations on Point Clouds. - Charlie Curtsinger, Daniel W. Barowy:
LaForge: Always-Correct and Fast Incremental Builds from Simple Specifications. - Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das:
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models. - Omid Kargarnovin, Amir Mahdi Sadeghzadeh, Rasool Jalili:
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights. - Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga:
Opinions are Made to be Changed: Temporally Adaptive Stance Classification. - Farhan Sadique, Shamik Sengupta:
Modeling and Analyzing Attacker Behavior in IoT Botnet using Temporal Convolution Network (TCN). - Mahtab Masoori, Lata Narayanan, Denis Pankratov:
Renting Servers in the Cloud: The Case of Equal Duration Jobs. - Shikhar Singh, Benoit Steiner, James Hegarty, Hugh Leather:
Using Graph Neural Networks to model the performance of Deep Neural Networks. - João Batista Florindo, Young-Sup Lee, Kyungkoo Jun, Gwanggil Jeon, Marcelo K. Albertini:
VisGraphNet: a complex network interpretation of convolutional neural features. - Pedro M. Silva, João Batista Florindo:
Fractal measures of image local features: an application to texture recognition. - Christopher Wiedeman, Ge Wang:
Disrupting Adversarial Transferability in Deep Neural Networks. - Md. Manzurul Hasan, Debajyoti Mondal, Md. Saidur Rahman:
Positive Planar Satisfiability Problems under 3-Connectivity Constraints. - Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola:
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. - Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon:
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks. - K. Mitra, Martin Vohralík:
A posteriori error estimates for the Richards equation. - Samuel Dooley, Tom Goldstein, John P. Dickerson:
Robustness Disparities in Commercial Face Detection. - Shunmugapriya Ramanathan, Koteswararao Kondepu, Tianliang Zhang, Behzad Mirkhanzadeh, Miguel Razo, Marco Tacca, Luca Valcarenghi, Andrea Fumagalli:
A Comprehensive Study of Virtual Machine and Container Based Core Network Components Migration in OpenROADM SDN-Enabled Network. - Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi:
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. - Sebastian Nielebock, Paul Blockhaus, Jacob Krüger, Frank Ortmeier:
An Experimental Analysis of Graph-Distance Algorithms for Comparing API Usages. - Fatih Idiz:
A Bisection Method Like Algorithm for Approximating Extrema of a Continuous Function. - Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier:
Few-Shot Table-to-Text Generation with Prototype Memory. - Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan, Wael Abd-Almageed:
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation. - Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels. - Sumit Kumar, Raj Ratn Pranesh:
TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter. - Lifu Tu:
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP. - Shagun Jhaver, Seth Frey, Amy X. Zhang:
Designing for Multiple Centers of Power: A Taxonomy of Multi-level Governance in Online Social Platforms. - Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W. Sjoding:
Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure. - Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath:
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. - Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu:
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI. - Naman Shah, Siddharth Srivastava:
Anytime Stochastic Task and Motion Policies. - Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam:
High performing ensemble of convolutional neural networks for insect pest image detection. - Yiran Li, Erin Musabandesu, Takanori Fujiwara, Frank J. Loge, Kwan-Liu Ma:
A Visual Analytics System for Water Distribution System Optimization. - Keita Ishizuka, Ken Saito:
Construction for both self-dual codes and LCD codes. - Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross:
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform. - Giorgi Japaridze, Bikal Lamichhane:
Cirquent calculus in a nutshell. - Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung:
QACE: Asking Questions to Evaluate an Image Caption. - Yuhong Jin, Lei Hou, Yushu Chen:
A new rotating machinery fault diagnosis method based on the Time Series Transformer. - Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross:
High-Throughput VLSI Architecture for GRAND Markov Order. - Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu:
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data. - Hafiq Anas, Ong Wee Hong:
An implementation of ROS Autonomous Navigation on Parallax Eddie platform. - Jay Chen, Barath Raghavan, Paul Schmitt, Tai Liu:
A Pluralist Approach to Democratizing Online Discourse. - Chao Chen, George Biros:
Overlapping Domain Decomposition Preconditioner for Integral Equations. - Ruotian Luo:
Goal-driven text descriptions for images. - Ge Li, Mohit Tiwari, Michael Orshansky:
Power-Based Attacks on Spatial DNN Accelerators. - Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Wenyuan Li:
Contrast-independent partially explicit time discretizations for nonlinear multiscale problems. - Ammar Fayad, Majd Ibrahim:
Influence-based Reinforcement Learning for Intrinsically-motivated Agents. - Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang:
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. - Gouthaman KV, Anurag Mittal:
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering. - Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson:
What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms? - Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings:
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. - Misha Stepanov:
Embedded (4, 5) pairs of explicit 7-stage Runge-Kutta methods with FSAL property. - Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu:
A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS over Nakagami-m channels. - Luca Serena, Mirko Zichichi, Gabriele D'Angelo, Stefano Ferretti:
Simulation of Hybrid Edge Computing Architectures. - Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun:
Layer-wise Model Pruning based on Mutual Information. - Fei Mi, Tao Lin, Boi Faltings:
Representation Memorization for Fast Learning New Knowledge without Forgetting. - Zhuosheng Zhang, Siru Ouyang, Hai Zhao, Masao Utiyama, Eiichiro Sumita:
Smoothing Dialogue States for Open Conversational Machine Reading. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki:
Mitigation of Diachronic Bias in Fake News Detection Dataset. - Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah:
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding. - Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang:
ThresholdNet: Pruning Tool for Densely Connected Convolutional Networks. - Hüseyin Afser:
Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds. - Susheel Kumar Joshi:
Chaos embedded opposition based learning for gravitational search algorithm. - Lefei Zhang, Meng Lan, Jing Zhang, Dacheng Tao:
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images. - Minjie Cai, Minyi Luo, Xionghu Zhong, Hao Chen:
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection. - Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min:
A Predictive Application Offloading Algorithm Using Small Datasets for Cloud Robotics. - Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, Dacheng Tao:
AP-10K: A Benchmark for Animal Pose Estimation in the Wild. - Marina Haikin, Matan Gavish, Dustin G. Mixon, Ram Zamir:
Asymptotic Frame Theory for Analog Coding. - Ilya Gusev, Alexey Tikhonov:
HeadlineCause: A Dataset of News Headlines for Detecting Casualties. - Carlos Alegría, Manuel Borrazzo, Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani:
Planar Straight-line Realizations of 2-Trees with Prescribed Edge Lengths. - Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi:
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. - Matthew A. Nethercote, Anastasia V. Kisil, Raphael Assier:
Diffraction of acoustic waves by a wedge of point scatterers. - Takyoung Kim, Yukyung Lee, Hoonsang Yoon, Pilsung Kang, Misuk Kim:
Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances. - Dirk Nuyens, Yuya Suzuki:
Scaled lattice rules for integration on Rd achieving higher-order convergence with error analysis in terms of orthogonal projections onto periodic spaces. - Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang:
Prototypes-Guided Memory Replay for Continual Learning. - Anastasios K. Papazafeiropoulos, Emil Björnson, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior:
Scalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments. - Felix Köster, Serhiy Yanchuk, Kathy Lüdge:
Master memory function for delay-based reservoir computers with single-variable dynamics. - James Fullwood:
An axiomatic characterization of mutual information. - Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang:
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network. - Yu Wang, Fang Liu, Daniele E. Schiavazzi:
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models. - Sam Cole, Steve Kirkland:
Clusters in Markov Chains via Singular Vectors of Laplacian Matrices. - Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. - Mengyu Chen, Andrés Monroy-Hernández, Misha Sra:
SceneAR: Scene-based Micro Narratives for Sharing and Remixing in Augmented Reality. - Praharsh Nanavati, Amit Anil Nanavati:
Bowlership: Examining the Existence of Bowler Synergies in Cricket. - Saleh Afroogh, Amir Esmalian, Ali Mostafavi, Ali Akbari, Kambiz Rasoulkhani, Shahriar Esmaeili, Ehsan Hajiramezanali:
Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19. - Shahed Rezaei, Ali Harandi, Tim Brepols, Stefanie Reese:
An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models. - Liren Lin:
Avoiding unwanted results in locally linear embedding: A new understanding of regularization. - Humberto Inzunza Velarde, Jheel Nagaria, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal:
Intrinsic Spike Timing Dependent Plasticity in Stochastic Magnetic Tunnel Junctions Mediated by Heat Dynamics. - Omar Alrabiah, Venkatesan Guruswami:
Visible Rank and Codes with Locality. - Zhao Yuan, Mohammad Reza Hesamzadeh, Sonja Wogrin, Mohamadreza Baradar:
Stochastic Optimal Operation of the VSC-MTDC System with FACTS Devices to Integrate Wind Power. - Arnob Ghosh, Thomas Parisini:
Traffic Control in a Mixed Autonomy Scenario at Urban Intersections: An Optimization-based Framework. - Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca:
Compact representations of convolutional neural networks via weight pruning and quantization. - David Buckley, Gueltoum Bendiab, Stavros Shiaeles, Nick Savage, Nicholas Kolokotronis:
CHAINGE: A Blockchain Solution to Automate Payment Detail Updates to Subscription Services. - Amin Azari, Meysam Masoudi:
Interference management for coexisting Internet of Things networks over unlicensed spectrum. - Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang:
Learning to Track Objects from Unlabeled Videos. - Kevin Lutz, Robert Bassett:
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis. - Hanfei Yu, Hao Wang, Jian Li, Seung-Jong Park:
Harvesting Idle Resources in Serverless Computing via Reinforcement Learning. - Luke Hsiao, Brooke Krajancich, Philip Alexander Levis, Gordon Wetzstein, Keith Winstein:
Towards Retina-Quality VR Video Streaming: 15ms Could Save You 80% of Your Bandwidth. - Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann:
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks. - I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
Event Extraction as Natural Language Generation. - Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Raj Gaire, Seyit Camtepe, Surya Nepal:
Characterizing Malicious URL Campaigns. - Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang:
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection. - Mohanad Sarhan, Siamak Layeghy, Marius Portmann:
Feature Analysis for ML-based IIoT Intrusion Detection. - Fahim Faisal Niloy, M. Ashraful Amin, A. K. M. Mahbubur Rahman, Amin Ahsan Ali:
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance. - Kailei Wang, Baoying Shen, Mingjing Li, Leiting Dong, Satya N. Atluri:
The Fragile Points Method, with an interface damage model, to simulate damage and fracture of U-notched structures. - Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. - Jinxin Liu, Murat Simsek, Burak Kantarci, Melike Erol-Kantarci, Andrew J. Malton, Andrew Walenstein:
Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts. - Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. - Hua Shen:
A class of ENO schemes with adaptive order for solving hyperbolic conservation laws. - David D. Lewis, Eugene Yang, Ophir Frieder:
Certifying One-Phase Technology-Assisted Reviews. - Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor:
Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems. - Haoran Yang, Wai Lam:
Sentence Structure and Word Relationship Modeling for Emphasis Selection. - Alexsander Andrade de Melo, Mateus de Oliveira Oliveira:
Second-Order Finite Automata. - Eugene Yang, David D. Lewis, Ophir Frieder:
TAR on Social Media: A Framework for Online Content Moderation. - Eloy Geenjaar, Tonya White, Vince D. Calhoun:
Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures. - Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu:
Calibrating Class Activation Maps for Long-Tailed Visual Recognition. - Julian Koellermeier, Giovanni Samaey:
Spatially Adaptive Projective Integration Schemes For Stiff Hyperbolic Balance Laws With Spectral Gaps. - Afroza Shirin, Enrico Del Frate, Francesco Sorrentino:
Reservoir Computers with Random and Optimized Time-Shifts. - Max Zvyagin, Thomas S. Brettin, Arvind Ramanathan, Sumit Kumar Jha:
CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models. - Anamta Khan:
Risk Assessment, Prediction, and Avoidance of Collision in Autonomous Drones. - Muhammad Rusyadi Ramli, Fredrik Asplund, Martin Törngren:
Towards Reference Architectures for Trustworthy Collaborative Cyber-Physical Systems: Reference Architectures as Boundary Objects. - Hasnaa Alzahrani, George Turkiyyah, Omar M. Knio, David E. Keyes:
Space-Fractional Diffusion with Variable Order and Diffusivity: Discretization and Direct Solution Strategies. - Richárd Szabó, András Vörös:
Towards formally analyzed Cyber-Physical Systems. - Rafael Peñaloza:
An Upper Bound for Provenance in ELHr. - Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. - Tomoyuki Yamakami:
Parameterizations of Logarithmic-Space Reductions, Stack-State Complexity of Nonuniform Families of Pushdown Automata, and a Road to the LOGCFL⊆LOGDCFL/poly Question. - Wesley P. Chan, Tin Tran, Sara Sheikholeslami, Elizabeth A. Croft:
An Experimental Validation and Comparison of Reaching Motion Models for Unconstrained Handovers: Towards Generating Humanlike Motions for Human-Robot Handovers. - Nelson Makau Mutua, Petr Matousek:
Outlier Detection in Smart Grid Communication. - Li Shen, Yangzhu Wang:
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting. - Koichi Bando, Kenji Tanaka:
Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models. - Zhaoxin Fan, Zhenbo Song, Wenping Zhang, Hongyan Liu, Jun He, Xiaoyong Du:
Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition. - Abdul Rahim Saleh, Gihad Al-Nemera, Saif Al-Otaibi, Rashid Tahir, Mohammed Alkhatib:
Making Honey Files Sweeter: SentryFS - A Service-Oriented Smart Ransomware Solution. - Weizhou Su, Junhui Li, Jieying Lu:
Mean-Square Input-Output Stability and Stabilizability of a Networked Control System with Random Channel Induced Delays. - G. K. Vardanyan:
A new proof of the Gasca-Maeztu conjecture for n = 5. - Efraín R. Fonseca C., Oscar Dieste, Natalia Juristo:
A City upon a Hill: Casting Light on a Real Experimental Process. - Ahmed Bayoumy Zaky, Mohamed Abdelaziz Khamis, Walid E. Gomaa:
Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones. - Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. - Shaily Mishra, Manisha Padala, Sujit Gujar:
Fair and Efficient Resource Allocation with Externalities. - Wentao Lu:
The rUNSWift SPL Field Segmentation Dataset. - W. T. Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Sawsan A. Saad, Azizul Azizan, Fitri Yakub:
Airplane Type Identification Based on Mask RCNN and Drone Images. - Rain Jiang, Kai Jiang, Minghui Jiang:
Linking disjoint segments into a simple polygon is hard. - Shreyansh Singh, K. K. Shukla:
Privacy-preserving Machine Learning for Medical Image Classification. - W. T. Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Hafizal Mohamad:
Airplane Detection Based on Mask Region Convolution Neural Network. - Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering. - Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li:
Analyzing and Mitigating Interference in Neural Architecture Search. - Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan, Yinbin Liu:
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics. - Karsten Heimann, Benjamin Sliwa, Manuel Patchou, Christian Wietfeld:
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications. - Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli:
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification. - Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh:
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation. - Muhammad Danish Khan, Arshad Shaikh:
Performance Evaluation of Ad Hoc Multicast Routing Protocols to Facilitate Video Streaming in VANETS. - Ali Ghorbi, Mohsen Fazeli-Varzaneh, Erfan Ghaderi-Azad, Marcel Ausloos, Marcin Kozak:
Retracted papers by Iranian authors: Causes, journals, time lags, affiliations, collaborations. - Sen Huang, Mingyu Xiao, Xiaoyu Chen:
Exact algorithms for maximum weighted independent set on sparse graphs. - Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov:
Decentralized Autofocusing System with Hierarchical Agents. - Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi:
Flow-Guided Video Inpainting with Scene Templates. - Nicholas I. Kolkin:
Non-Parametric Neural Style Transfer. - Rongzhou Bao, Zhuosheng Zhang, Hai Zhao:
Span Fine-tuning for Pre-trained Language Models. - Fangye Tang, Meysam Shojaee, Israat Haque:
ACE: an Accurate and Cost-Effective Measurement System in SDN. - Mario Díaz, Peter Kairouz, Lalitha Sankar:
Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation. - Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan:
Differentiable Convolution Search for Point Cloud Processing. - Leila Kalantari, José C. Príncipe, Kathryn E. Sieving:
Uncertainty quantification for multiclass data description. - Zhiqiang Cao, Zhijun Li, Pan Heng, Yongrui Chen, Daqi Xie, Jie Liu:
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator. - Shao-Qun Zhang, Feng-Lei Fan:
Neural Network Gaussian Processes by Increasing Depth. - Xun Tan, Xingyu Chen, Guowei Zhang, Jishiyu Ding, Xuguang Lan:
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection. - Weikai Li, Songcan Chen:
Partial Domain Adaptation without Domain Alignment. - Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang:
A Multimodal Framework for Video Ads Understanding. - Chenxi Xiao, Peng Lu, Qizhi He:
Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real. - Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. - Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration. - Radu Curticapean, Mingji Xia:
Parameterizing the Permanent: Hardness for K8-minor-free graphs. - Injy Hamed, Pavel Denisov, Chia-Yu Li, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu:
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech. - Nick Arnosti, Will Ma:
Tight Guarantees for Static Threshold Policies in the Prophet Secretary Problem. - Bilgiday Yuce, H. Fatih Ugurdag, Iskender Agi, Gokhan Guner, Vahap Baris Esen, Seyrani Korkmaz, I. Faik Baskaya, Günhan Dündar:
ACTreS: Analog Clock Tree Synthesis. - Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators. - Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. - Hao Tang, Nicu Sebe:
Layout-to-Image Translation with Double Pooling Generative Adversarial Networks. - Abdul Razzaq, Jim Buckley, James Vincent Patten, Muslim Chochlov, Ashish Rajendra Sai:
BoostNSift: A Query Boosting and Code Sifting Technique for Method Level Bug Localization. - Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Guided Knowledge Distillation. - Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. - Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu:
A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning. - Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning. - Luis Alberto Escudero, Naomi Feldheim, Günther Koliander, José Luis Romero:
Efficient computation of the zeros of the Bargmann transform under additive white noise. - Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé:
Continuous Systematic Literature Review: An Approach for Open Science. - Nathan Schneider, Amir Zeldes:
Mischievous Nominal Constructions in Universal Dependencies. - Farnaz Nazari, Wei Yan:
Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape. - Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. - SeyedZahir Qazavi, Samaneh Hosseini Semnani:
Distributed Swarm Collision Avoidance Based on Angular Calculations. - Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal, Peter Chin:
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations. - Wing Tat Leung, Guang Lin, Zecheng Zhang:
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems. - Mathew Mithra Noel, Arunkumar L, Advait Trivedi, Praneet Dutta:
Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks. - Weiyan Shi, Aiqi Cui, Evan Li, Ruoxi Jia, Zhou Yu:
Selective Differential Privacy for Language Modeling. - Carlotta Giannelli, Lorenzo Sacco, Alessandra Sestini:
A local C2 Hermite interpolation scheme with PH quintic splines for 3D data streams. - Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Justifying Groups in Multiwinner Approval Voting. - Ahyun Seo, Woohyeon Shim, Minsu Cho:
Learning to Discover Reflection Symmetry via Polar Matching Convolution. - Matthew C. McCallum:
Unsupervised Learning of Deep Features for Music Segmentation. - Ling Guo, Hao Wu, Tao Zhou:
Normalizing Field Flows: Solving forward and inverse stochastic differential equations using Physics-Informed flow model. - Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan:
Searching for Two-Stream Models in Multivariate Space for Video Recognition. - Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. - Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang:
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation. - Ekraam Sabir, Soumyaroop Nandi, Wael AbdAlmageed, Prem Natarajan:
BioFors: A Large Biomedical Image Forensics Dataset. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. - Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin:
Font Completion and Manipulation by Cycling Between Multi-Modality Representations. - Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao:
Digging into Uncertainty in Self-supervised Multi-view Stereo. - Yuki Nishida, Hiromasa Saito, Ran Chen, Akira Kawata, Jun Furuse, Kohei Suenaga, Atsushi Igarashi:
HELMHOLTZ: A Verifier for Tezos Smart Contracts Based on Refinement Types. - Songhe Wang, Zheng Bao, Jingtong E:
Armor: A Benchmark for Meta-evaluation of Artificial Music. - Kai Yang:
High order conservative schemes for the generalized Benjamin-Ono equation in the unbounded domain. - Shuchi Chawla, Evangelia Gergatsouli, Jeremy McMahan, Christos Tzamos:
Approximating Pandora's Box with Correlations. - Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith:
Private Multi-Task Learning: Formulation and Applications to Federated Learning. - Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
The ensmallen library for flexible numerical optimization. - Shiv Shankar:
Adversarial Stein Training for Graph Energy Models. - Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. - Shenao Zhang, Li Shen, Lei Han, Li Shen:
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. - Jiuhua Hu, Anatoly A. Alikhanov, Yalchin Efendiev, Wing Tat Leung:
Partially Explicit Time Discretization for Time Fractional Diffusion Equation. - Masanari Kimura, Takuma Nakamura, Yuki Saito:
SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts. - Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang:
Pseudo-mask Matters inWeakly-supervised Semantic Segmentation. - Yucheng Zhao, Guangting Wang, Chuanxin Tang, Chong Luo, Wenjun Zeng, Zheng-Jun Zha:
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP. - Yue Wu, Guotao Meng, Qifeng Chen:
Embedding Novel Views in a Single JPEG Image. - Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He:
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph. - Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang:
Communication-Computation Efficient Device-Edge Co-Inference via AutoML. - Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu:
Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version. - Mette Simonsen Abildgaard, Carina Ren, Israel Leyva-Mayorga, Cedomir Stefanovic, Beatriz Soret, Petar Popovski:
Arctic connectivity: A frugal approach to infrastructural development. - Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia:
Exploring and Improving Mobile Level Vision Transformers. - Kangzheng Liu, Yuhong Zhang:
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution. - Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes:
Transport-based Counterfactual Models. - Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. - Ran Tian, Joshua Maynez, Ankur P. Parikh:
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. - Dongfang Xu, Xianghao Yu, Derrick Wing Kwan Ng, Robert Schober:
Resource Allocation for Active IRS-Assisted Multiuser Communication Systems. - Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang:
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee. - Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. - Tim French, Tom Smoker:
Aleatoric Description Logic for Probailistic Reasoning (Long Version). - Jianhua Jiang, Yangang Ren, Yang Guan, Shengbo Eben Li, Yuming Yin, Xiaoping Jin:
Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow. - (Withdrawn) An Interpretable Web-based Glioblastoma Multiforme Prognosis Prediction Tool using Random Forest Model.
- Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. - Pierre Vuillemin, Charles Poussot-Vassal:
Constructive interpolation points selection in the Loewner framework. - Francesca Rossi, Eduardo Prieto-Araujo, Marc Cheah-Mane, Oriol Gomis-Bellmunt:
Data-driven Small-signal Modeling for Converter-based Power Systems. - Lingyun Feng, Jianwei Yu, Deng Cai, Songxiang Liu, Haitao Zheng, Yan Wang:
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding. - Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. - Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris, Céline Hudelot, Marco Domenico Santambrogio:
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. - Yihang Gao, Michael K. Ng:
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. - Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi:
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. - Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci:
Vision for an Artefact-based Approach to Regulatory Requirements Engineering. - Jingyang Zhao, Mingyu Xiao:
A Further Improvement on Approximating TTP-2. - David Blackman, Sebastiano Vigna:
A New Test for Hamming-Weight Dependencies. - Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang:
Unsupervised Monocular Depth Perception: Focusing on Moving Objects. - Paolo Pareti, George Konstantinidis, Fabio Mogavero:
Satisfiability and Containment of Recursive SHACL. - Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury:
How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools. - Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan, Sherif Sakr:
To tune or not to tune? An Approach for Recommending Important Hyperparameters. - Steven Kisseleff, Konstantinos Ntontin, Wallace A. Martins, Symeon Chatzinotas, Björn E. Ottersten:
Simultaneous Control Information and Power Transmission for Reconfigurable Intelligent Surfaces. - Mor Peleg, Amnon Reichman, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelman, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, Roy Cohen:
COVID-19 Datathon Based on Deidentified Governmental Data as an Approach for Solving Policy Challenges, Increasing Trust, and Building a Community: Case Study. - Vid Kocijan, Thomas Lukasiewicz:
Knowledge Base Completion Meets Transfer Learning. - Jirí Fiala, Ignaz Rutter, Peter Stumpf, Peter Zeman:
Extending Partial Representations of Circular-Arc Graphs. - Ankush Ganguly, Samuel W. F. Earp:
An Introduction to Variational Inference. - Shenghui Su, Ping Luo, Shuwang Lv, Maozhi Xu:
A New Lever Function with Adequate Indeterminacy. - Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari:
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. - Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova:
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale. - Ezgi Korkmaz:
Investigating Vulnerabilities of Deep Neural Policies. - Maurice Margenstern:
An outer totalistic weakly universal cellular automaton in the dodecagrid with four states. - Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan:
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification. - Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan:
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors. - Clemens Grabmayer:
A Coinductive Version of Milner's Proof System for Regular Expressions Modulo Bisimilarity. - Björn Lindqvist, Christoforos Kanellakis, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
COMPRA: A COMPact Reactive Autonomy framework for subterranean MAV based search-and-rescue operations. - Shenghui Su, Jianhua Zheng, Shuwang Lv:
A New Rational Approach to the Square Root of 5. - Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina:
NEREL: A Russian Dataset with Nested Named Entities and Relations. - Nikola Benes, Lubos Brim, Samuel Pastva, David Safránek:
BDD-Based Algorithm for SCC Decomposition of Edge-Coloured Graphs. - Trevor L. McDonell, Joshua D. Meredith, Gabriele Keller:
Embedded Pattern Matching. - Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. - Yuyu Guo, Lianli Gao, Xuanhan Wang, Yuxuan Hu, Xing Xu, Xu Lu, Heng Tao Shen, Jingkuan Song:
From General to Specific: Informative Scene Graph Generation via Balance Adjustment. - Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. - Hassan Sajjad, Nadir Durrani, Fahim Dalvi:
Neuron-level Interpretation of Deep NLP Models: A Survey. - Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong:
CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization. - Lijie Wang, Hao Liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu:
A Sentiment Analysis Dataset for Trustworthiness Evaluation. - Riley Roberts, Benjamin Lewis, Arnd Hartmanns, Prabal Basu, Sanghamitra Roy, Koushik Chakraborty, Zhen Zhang:
Probabilistic Verification for Reliability of a Two-by-Two Network-on-Chip System. - Hamid M. Q. Rasheda, Norshahida Mohd Shah, Abdu Saif, Qazwan Abdullah, Abbas Ugurenver, Abdul Rashid. O. Mumin, Nan Bin Mad Sahar:
An Optimization of Fractal Microstrip Patch Antenna with Partial Ground using Genetic Algorithm Method. - Jie Zhou, Mingliang Xiong, Mingqing Liu, Qingwen Liu, Shengli Zhou:
Transient Analysis for Resonant Beam Charging and Communication. - Evgeny Izutov:
LIGAR: Lightweight General-purpose Action Recognition. - Martin Andreoni Lopez, Michael Baddeley, Willian T. Lunardi, Anshul Pandey, Jean Pierre Giacalone:
Towards Secure Wireless Mesh Networks for UAV Swarm Connectivity: Current Threats, Research, and Opportunities. - Mohamed Moulay, Rafael A. García Leiva, Pablo J. Rojo Maroni, Vincenzo Mancuso, Antonio Fernández Anta, Ali Safari Khatouni:
MonTrees: Automated Detection and Classification of Networking Anomalies in Cellular Networks. - Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Konstantinos N. Plataniotis:
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection. - Kaida Kaeval, Danish Rafique, Kamil Blawat, Klaus Grobe, Helmut Griesser, Jörg-Peter Elbers, Piotr Rydlichowski, Artur Binczewski, Marko Tikas:
Exploring Channel Probing to Determine Coherent Optical Transponder Configurations in a Long-Haul Network. - Juntao Chen, Corinne Touati, Quanyan Zhu:
A Dynamic Game Approach to Designing Secure Interdependent IoT-Enabled Infrastructure Network. - Fengqian Guo, Hancheng Lu, Bo Li, Dingxuan Li, Chang Wen Chen:
NOMA Assisted Multi-MEC Offloading for IoVT Networks. - Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen:
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. - Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
Parallel Sub-Structuring Methods for solving Sparse Linear Systems on a cluster of GPU. - André Persechino:
An introduction to fractional calculus: Numerical methods and application to HF dielectric response. - Yajun Zhao, Mengnan Jian:
Applications and challenges of Reconfigurable Intelligent Surface for 6G networks (Original published in Chinese). - Zeyad Elsaraf, Faheem Ahmad Khan, Qasim Zeeshan Ahmed:
Deep Learning Based Power Allocation Schemes in NOMA Systems: A Review. - Bensingh Dhas, Jamun Kumar N, Debasish Roy, J. N. Reddy:
A mixed variational principle in nonlinear elasticity using Cartan's moving frame and implementation with finite element exterior calculus. - Sushil Mahavir Varma, Siva Theja Maguluri:
Transportation Polytope and its Applications in Parallel Server Systems. - Bruno de Sousa Alves, Ruth V. Sabariego, Marc Laforest, Frédéric Sirois:
Hyperbolic Basis Functions for Time-Transient Analysis of Eddy Currents in Conductive and Magnetic Thin Sheets. - Erik Heiland, Peter Hillmann, Andreas Karcher:
Enterprise Architecture Model Transformation Engine. - Laila Y. Al Sakkaf, Usama Al Khawaja:
High accuracy power series method for solving scalar, vector, and inhomogeneous nonlinear Schrödinger equations. - Yuping Fan:
ROME: A Multi-Resource Job Scheduling Framework for Exascale HPC Systems. - (Withdrawn) Performance Analysis of Asynchronous Quorum-based Protocols in Wireless Sensor Networks.
- Eyhab Al-Masri:
An Edge-Based Resource Allocation Optimization for the Internet of Medical Things (IoMT). - Ivana Nikoloska, Osvaldo Simeone:
Black-Box and Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. - Marco Sälzer, Martin Lange:
Reachability Is NP-Complete Even for the Simplest Neural Networks. - Behzad Ashrafi Nia, Franco De Flaviis, Soheil Saadat:
Flexible Quasi-Yagi-Uda antenna for 5G communication. - Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric:
Networks of UAVs of Low-Complexity for Time-Critical Localization. - Navdeep Katel, Vivek Khandelwal, Uday Bondhugula:
High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results. - Samriddha Sanyal:
On the approximation of a matrix. - Laura Lippert, Daniel Potts, Tino Ullrich:
Fast Hyperbolic Wavelet Regression meets ANOVA. - Salman Haidri, Yaksh J. Haranwala, Vania Bogorny, Chiara Renso, Vinicius Prado da Fonseca, Amílcar Soares:
PTRAIL - A python package for parallel trajectory data preprocessing. - Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga:
Feature Importance in a Deep Learning Climate Emulator. - Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight. - Paul Breiding, Fulvio Gesmundo, Mateusz Michalek, Nick Vannieuwenhoven:
Algebraic compressed sensing. - David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen:
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms. - Jenny Schmalfuss, Cedric Riethmüller, Mirco Altenbernd, Kilian Weishaupt, Dominik Göddeke:
Partitioned Coupling vs. Monolithic Block-Preconditioning Approaches for Solving Stokes-Darcy Systems. - Akbar Karimi, Leonardo Rossi, Andrea Prati:
AEDA: An Easier Data Augmentation Technique for Text Classification. - Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze:
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph). - Zhishen Nie, Ying Lin, Sp Ren, Lan Zhang:
Adaptive perturbation adversarial training: based on reinforcement learning. - Tadeusz Tomczak:
Data-Oriented Language Implementation of Lattice-Boltzmann Method for Dense and Sparse Geometries. - Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang:
Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data. - Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. - Yanfeng Wu, Chenkai Guo, Junan Zhao, Xiao Jin, Jing Xu:
RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification. - Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee:
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. - Linda Abraham, Anthony Bonato, Alexander Nazareth:
Small Number of Communities in Twitter Keyword Networks. - Betty Saridou, Gueltoum Bendiab, Stavros N. Shiaeles, Basil K. Papadopoulos:
Thermal Management in Large Data Centers: Security Threats and Mitigation. - Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare:
Deep Reinforcement Learning at the Edge of the Statistical Precipice. - Christopher Gebauer, Maren Bennewitz:
Hierarchical Reinforcement Learning for Sensor-Based Navigation. - Alyxander Burns, Thai On, Christiana Lee, Rachel Shapiro, Cindy Xiong, Narges Mahyar:
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization. - Ismi Rosyiana Fitri, Jung-Su Kim:
Distributed Dual Gradient Tracking for Priority-Considered Load Shedding. - Christopher M. Ormerod, Amir Jafari, Susan Lottridge, Milan Patel, Amy E. Harris, Paul van Wamelen:
The effects of data size on Automated Essay Scoring engines. - Wei Jiang, Jie Liu, Shiling Zheng:
Numerical Eigensolver for Solving Eigenmodes of Cavity Resonators Filled With both Electric and Magnetic Lossy, Anisotropic Media. - Christof Beierle, Gregor Leander, Léo Perrin:
Trims and Extensions of Quadratic APN Functions. - Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse R. Pisel, Michael J. Pyrcz:
StackGAN: Facial Image Generation Optimizations. - Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad:
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. - Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae, Vahdat Abdelzad, Chengjie Huang, Maximilian Kahn, Van Duong Nguyen:
The missing link: Developing a safety case for perception components in automated driving. - Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Block Source Coding with Sequential Encoding. - Michael Papasimeon, Lyndon Benke:
Multi-Agent Simulation for AI Behaviour Discovery in Operations Research. - Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang:
VTLayout: Fusion of Visual and Text Features for Document Layout Analysis. - Javier Albert, Dmitri Goldenberg:
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling. - Yunbo Ouyang, Jun Shi, Haichao Wei, Huiji Gao:
Incremental Learning for Personalized Recommender Systems. - Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhiwei Wang, Zhoutong Fu, Jun Jia, Liang Zhang, Huiji Gao, Bo Long:
Deep Natural Language Processing for LinkedIn Search. - Marco Parola, Alice Nannini, Stefano Poleggi:
Web image search engine based on LSH index and CNN Resnet50. - Rohit Negi:
A Theoretical Framework for Online Information Search. - Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li:
A Conditional Cascade Model for Relational Triple Extraction. - Scott E. Friedman, Ian H. Magnusson, Sonja M. Schmer-Galunder:
Extracting Qualitative Causal Structure with Transformer-Based NLP. - (Withdrawn) Security For System-On-Chip (SoC) Using Neural Networks.
- Anna Corazza, Sergio Di Martino, Adriano Peron, Luigi Libero Lucio Starace:
Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference. - Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. - Zhen Wang, Xu Shan, Jie Yang:
N15News: A New Dataset for Multimodal News Classification. - J. Thomas Beale, Christina Jones, Jillian Reale, Svetlana Tlupova:
A Novel Regularization for Higher Accuracy in the Solution of 3D Stokes Flow. - Debarnab Mitra, Lev Tauz, Lara Dolecek:
Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree. - Luke Barlow, Gueltoum Bendiab, Stavros Shiaeles, Nick Savage:
A Novel Approach to Detect Phishing Attacks using Binary Visualisation and Machine Learning. - Zhuan Khye Koh, Georg Loho:
Beyond Value Iteration for Parity Games: Strategy Iteration with Universal Trees. - Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. - Neil Kulkarni, Caroline Lemieux, Koushik Sen:
Learning Highly Recursive Input Grammars. - Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. - Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren:
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion. - Beren Millidge, Anil K. Seth, Christopher L. Buckley:
A Mathematical Walkthrough and Discussion of the Free Energy Principle. - Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles:
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection. - Boris Klemz, Kristin Knorr, Meghana M. Reddy, Felix Schröder:
Simplifying Non-Simple Fan-Planar Drawings. - Jordi Armengol-Estapé, Ona De Gibert Bonet, Maite Melero:
On the Multilingual Capabilities of Very Large-Scale English Language Models. - Behzad Boroujerdian, Radhika Ghosal, Jonathan J. Cruz, Brian Plancher, Vijay Janapa Reddi:
RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity. - Ilya Vorobyev:
Fast Decoding of Union-free Codes. - Stephanie Tena-Meza, Miroslav Suzara, A. J. Alvero:
Coding with Purpose: Learning AI in Rural California. - Manolis Pitsikalis, Alexei Lisitsa, Shan Luo:
Representation and Processing of Instantaneous and Durative Temporal Phenomena. - Nirav Vasant Shah, Michele Girfoglio, Gianluigi Rozza:
Thermomechanical modelling for industrial applications. - S. M. Mehedi Zaman, Wasay Mahmood Qureshi, Md. Mohsin Sarker Raihan, Ocean Monjur, Abdullah Bin Shams:
Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm. - Eoghan Cunningham, Barry Smyth, Derek Greene:
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research. - Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. - Yimin Wang, Yixian Chen, Guilong Li, Yuhuan Lu, Zhi Yu, Zhaocheng He:
City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling. - Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
MultPIM: Fast Stateful Multiplication for Processing-in-Memory. - Daniel Hein, Daniel Labisch:
Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor. - Tanmoy Mondal, Abhijit Das, Zuheng Ming:
Exploring Multi-Tasking Learning in Document Attribute Classification. - Laboni Akter, Nasrin Akhter:
Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms. - Omkar Phadke, Jayatika Sakhuja, Vivek Saraswat, Udayan Ganguly:
Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact, clock-less neuron exhibiting biological spiking patterns. - Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao:
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. - Lukas Pfahler, Mirko Bunse, Katharina Morik:
Noisy Labels for Weakly Supervised Gamma Hadron Classification. - Bartosz Borzeszkowski, Izabela Lubowiecka, Roger A. Sauer:
Nonlinear material identification of heterogeneous isogeometric Kirchhoff-Love shells. - Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi:
Deep 3D Mask Volume for View Synthesis of Dynamic Scenes. - Albert Jiménez Sanfiz, Mohamed Akrout:
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms. - Rina Azoulay, Yoram Haddad, Shulamit Reches:
Machine Learning Methods for Management UAV Flocks - a Survey. - Javier Esparza:
Population Protocols: Beyond Runtime Analysis. - Larry Wilson:
Modularity and Heavy-Tailed Degree Distributions. - HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. - Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar Fard, David A. Forsyth:
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies. - Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph Dunbar:
Time Series Prediction using Deep Learning Methods in Healthcare. - Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li:
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. - Scott P. MacLachlan, Niall Madden, Thái Anh Nhan:
A Boundary-Layer Preconditioner for Singularly Perturbed Convection Diffusion. - Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J. Hunt:
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction. - Catherine Hu, Christopher Perdriau, Christopher J. Mendez, Caroline Gao, Abrar Fallatah, Margaret Burnett:
Toward a Socioeconomic-Aware HCI: Five Facets. - Niko Motschnig, Alexander Ramharter, Oliver Schweiger, Philipp Zabka, Klaus-Tycho Foerster:
On Comparing and Enhancing Common Approaches to Network Community Detection. - Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. - Michail Gkagkos, Evagoras Stylianou, Charalambos D. Charalambous:
Structural Properties of Optimal Test Channels for Gaussian Multivariate Partially Observable Distributed Sources. - Lars Lindemann, George J. Pappas, Dimos V. Dimarogonas:
Reactive and Risk-Aware Control for Signal Temporal Logic. - Dustin Wright, Isabelle Augenstein:
Semi-Supervised Exaggeration Detection of Health Science Press Releases. - Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang:
Scene Synthesis via Uncertainty-Driven Attribute Synchronization. - Ignacio Amores-Sesar, Christian Cachin, Anna Parker:
Generalizing Weighted Trees: A Bridge from Bitcoin to GHOST. - Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An FEA surrogate model with Boundary Oriented Graph Embedding approach. - Tung Thanh Vu, Hien Quoc Ngo, Duy T. Ngo, Minh N. Dao, Erik G. Larsson:
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups. - Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. - Aghil Yousefi-Koma, Behnam Maleki, Hessam Maleki, Amin Amani, Mohammad Ali Bazrafshani, Hossein Keshavarz, Ala Iranmanesh, Alireza Yazdanpanah, Hamidreza Alai, Sahel Salehi, Mahyar Ashkvari, Milad Mousavi, Milad Shafiee-Ashtiani:
SURENA IV: Towards A Cost-effective Full-size Humanoid Robot for Real-world Scenarios. - Roberto Ponciroli, Andrea Rovinelli, Lander Ibarra:
A Convolutional Neural Network-based Approach to Field Reconstruction. - Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman:
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. - Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak:
ExaWorks: Workflows for Exascale. - Karen B. Schloss, Melissa A. Schoenlein, Ross Tredinnick, Simon Smith, Nathaniel Miller, Chris Racey, Christian Castro, Bas Rokers:
The UW Virtual Brain Project: An immersive approach to teaching functional neuroanatomy. - Thomas S. Lumpe, Michael Tao, Kristina Shea, David I. W. Levin:
Computational Design of Active 3D-Printed Multi-State Structures for Shape Morphing. - Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution. - Faryad Darabi Sahneh, Stephen G. Kobourov, Richard Spence:
Approximation algorithms for priority Steiner tree problems. - Abinash Nayak:
Regularizing (Stabilizing) Deep Learning Based Reconstruction Algorithms. - Daniel Link, Kamonphop Srisopha, Barry W. Boehm:
Study of the Utility of Text Classification Based Software Architecture Recovery Method RELAX for Maintenance. - Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. - Jacob Beel, Tong Xiang, Sandeep Soni, Diyi Yang:
Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control. - Shreya Shankar, Aditya G. Parameswaran:
Towards Observability for Machine Learning Pipelines. - Amirhossein Yazdani Abyaneh, Marwan Krunz:
CWmin Estimation and Collision Identification in Wi-Fi Systems. - Mingyu Dong, Diqun Yan, Yongkang Gong, Rangding Wang:
Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise. - Xiuwen Gong, Dong Yuan, Wei Bao:
Fast Multi-label Learning. - Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
Dead Pixel Test Using Effective Receptive Field. - Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. - Venkatesan Guruswami, Peter Manohar, Jonathan Mosheiff:
𝓁p-Spread Properties of Sparse Matrices. - Chung Hee Kim, Ka Hei Mak, Jungwon Seo:
Planning for Dexterous Ungrasping: Secure Ungrasping through Dexterous Manipulation. - Nazanin Alipourfard, Keith Burghardt, Kristina Lerman:
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data. - Randy C. Hoover, Kyle A. Caudle, Karen S. Braman:
A New Approach to Multilinear Dynamical Systems and Control. - Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. - Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini:
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. - Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering. - Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks. - Philip J. Feng, Pingjun Pan, Tingting Zhou, Hongxiang Chen, Chuanjiang Luo:
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems. - Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, Kwanghoon Sohn:
Self-balanced Learning For Domain Generalization. - Kentaro Yoshioka, Hidenori Okuni, Tuan Thanh Ta, Akihide Sai:
Through the Looking Glass: Diminishing Occlusions in Robot Vision Systems with Mirror Reflections. - Javid Ebrahimi, Hao Yang, Wei Zhang:
How Does Adversarial Fine-Tuning Benefit BERT? - Piao Zeng, Qingqing Wu, Deli Qiao:
Energy Minimization for IRS-aided WPCNs with Non-linear Energy Harvesting Model. - Mark Selden, Jason Zhou, Felipe Campos, Nathan O. Lambert, Daniel S. Drew, Kristofer S. J. Pister:
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control. - Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco:
Upper bounds on the length function for covering codes. - Dexuan Xie:
An Efficient Finite Element Iterative Method for Solving a Nonuniform Size Modified Poisson-Boltzmann Ion Channel Model. - Doha Al Bared, Mohamed Nassar:
Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning. - Zichen He, Jiawei Wang, Chunwei Song:
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures. - Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala:
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. - Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
Spike time displacement based error backpropagation in convolutional spiking neural networks. - Pranab Jyoti Deka, Lukas Einkemmer:
Exponential Integrators for MHD: Matrix-free Leja interpolation and efficient adaptive time stepping. - Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui:
Towards Out-Of-Distribution Generalization: A Survey. - Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Prescriptive Trees from Observational Data. - Zhengyuan Liu, Nancy F. Chen:
Dynamic Sliding Window for Meeting Summarization. - Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He:
SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory. - Haoyin Xu, Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, Sambit Panda, Joshua T. Vogelstein:
When are Deep Networks really better than Random Forests at small sample sizes? - Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein:
Module-Power Prediction from PL Measurements using Deep Learning. - Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim:
Learning to Synthesize Programs as Interpretable and Generalizable Policies. - Stéphane Kastenbaum, Benoît Boyer, Jean-Pierre Talpin:
A Mechanically Verified Theory of Contracts. - Jonas Frei, Anina Havelka, Markus Wüst, Einar Nielsen, Andreas Ziltner, Katrin S. Lohan:
Autonomous Rollator: A Case Study in the Agebots Project. - Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network with Multi-view Representation Learning. - Samuel Rönnqvist, Amanda Myntti, Aki-Juhani Kyröläinen, Sampo Pyysalo, Veronika Laippala, Filip Ginter:
Explaining Classes through Word Attribution. - Soumya Sanyal, Xiang Ren:
Discretized Integrated Gradients for Explaining Language Models. - Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. - Wentao Ding, Jianhao Chen, Jinmao Li, Yuzhong Qu:
Automatic Rule Generation for Time Expression Normalization. - Jean Néraud:
Gray Cycles of Maximum Length Related to k-Character Substitutions. - Sébastien Gouëzel:
Formalizing the Gromov-Hausdorff space. - Alexandre Armand, Corentin Sanchez, Philippe Xu, Philippe Bonnifait:
Lane level context and hidden space characterization for autonomous driving. - Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni:
Is First Person Vision Challenging for Object Tracking? - Yogesh Kumar, Alexander Ilin, Henri Salo, Sangita Kulathinal, Maarit K. Leinonen, Pekka Marttinen:
Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records. - Juyong Lee, Seunghyuk Cho:
Semi-supervised Image Classification with Grad-CAM Consistency. - Swaroop Mishra:
Development of User-friendly Smart Grid Architecture. - Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo:
Task-Oriented Dialogue System as Natural Language Generation. - Hang Zhao, Chenyang Zhu, Xin Xu, Hui Huang, Kai Xu:
Learning Practically Feasible Policies for Online 3D Bin Packing. - Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown:
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. - Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren:
Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection. - Herbert Egger, Jan Giesselmann, Teresa Kunkel, Nora Philippi:
An asymptotic-preserving discretization scheme for gas transport in pipe networks. - Cheng Xue, Vimukthini Pinto, Chathura Nagoda Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz:
Phy-Q: A Benchmark for Physical Reasoning. - Marco Pesavento, Marco Volino, Adrian Hilton:
Attention-based Multi-Reference Learning for Image Super-Resolution. - Hiroto Honda, Motoki Kimura, Takumi Karasawa, Yusuke Uchida:
End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations. - Sandaru Seneviratne, Sergio José Rodríguez Méndez, Xuecheng Zhang, Pouya Ghiasnezhad Omran, Kerry Taylor, Armin Haller:
TNNT: The Named Entity Recognition Toolkit. - Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni:
SemIE: Semantically-aware Image Extrapolation. - Jan Bart Broekaert, Davide La Torre:
Control Scenarios for Probabilistic SIR Epidemics on Social-Connection Graphs. - Adrian Naruszko, Bartlomiej Przybylski, Krzysztof Rzadca:
A log-linear (2+5/6)-approximation algorithm for parallel machine scheduling with a single orthogonal resource. - Filip Maric, Matthew Giamou, Adam W. Hall, Soroush Khoubyarian, Ivan Petrovic, Jonathan Kelly:
Riemannian Optimization for Distance Geometric Inverse Kinematics. - Zhouyang Xie, Yan Fu, Shengzhao Tian, Junlin Zhou, Duanbing Chen:
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks. - Andreas M. Kist:
Deep Learning on Edge TPUs. - Lubos Krcál, Shen-Shyang Ho, Jan Holub:
Hierarchical Bitmap Indexing for Range and Membership Queries on Multidimensional Arrays. - Marco Pesavento, Marco Volino, Adrian Hilton:
Super-Resolution Appearance Transfer for 4D Human Performances. - Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, Nigel Collier:
Plan-then-Generate: Controlled Data-to-Text Generation via Planning. - Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen:
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization. - Gonzalo E. Imaz:
The Horn Non-Clausal Class and its Polynomiality. - Jennifer Simonjan, Bige D. Unluturk, Ian F. Akyildiz:
In-body Bionanosensor Localization for Anomaly Detection via Inertial Positioning and THz Backscattering Communication. - Julian D. Schiller, Matthias A. Müller:
Suboptimal nonlinear moving horizon estimation. - Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Biomedical Challenges and Directions. - Daan Bloembergen, Chris Eijgenstein:
Automatic labelling of urban point clouds using data fusion. - George Chrysostomou, Nikolaos Aletras:
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. - Yi-Jheng Lin, Chia-Ming Chang, Cheng-Shang Chang:
A Hierarchical Stitching Algorithm for Coded Compressed Sensing. - Xu Shi, Jintao Wang, Guozhi Chen, Jian Song:
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems. - Mattias Wahde, Marco Virgolin:
The five Is: Key principles for interpretable and safe conversational AI. - Pelin Çiloglu, Hamdullah Yücel:
Stochastic Discontinuous Galerkin Methods for Robust Deterministic Control of Convection Diffusion Equations with Uncertain Coefficients. - Mohammad Hossein Koohi Ghamsari, Erfan Azizkhani, Javad Ghalibafan:
Open-stub based spurious harmonic suppression method for Microstrip Coupled Line Filter. - Bryar Ahmad Hassan, Tarik A. Rashid:
Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning. - (Withdrawn) Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection.
- Yue Wang, Jiequan Li:
Stiffened gas approximation and GRP resolution for fluid flows of real materials. - Guangyang Zhang, Chao Shen, Bo Ai, Zhangdui Zhong:
Robust Symbol-Level Precoding and Passive Beamforming for IRS-Aided Communications. - Masaomi Yamaguchi, Kazutaka Matsuda, Cristina David, Meng Wang:
Synbit: Synthesizing Bidirectional Programs using Unidirectional Sketches. - Stefano Braghin, Marco Simioni, Mathieu Sinn:
DLPFS: The Data Leakage Prevention FileSystem. - Mohammad Sarbaz, Iman Zamani, Mohammad Manthouri, Asier Ibeas:
Decentralized Robust Interval Type-2 Fuzzy Model Predictive Control for Takagi-Sugeno Large-Scale Systems. - Kesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia:
Addressing the IEEE AV Test Challenge with Scenic and VerifAI. - Mazda Moayeri, Soheil Feizi:
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. - Mojtaba Asadi Jokar, Iman Zamani, Mohamad Manthouri, Mohammad Sarbaz:
A Novel Robust Extended Dissipativity State Feedback Control system design for Interval Type-2 Fuzzy Takagi-Sugeno Large-Scale Systems. - Massimo Stella:
Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review. - Andrea Bedin, Federico Chiariotti, Stepán Kucera, Andrea Zanella:
Optimal Latency-Oriented Scheduling in Parallel Queuing Systems. - Roberto Rossi:
Curatio et Innovatio. - Alim Kerem Erdogmus, Ugur Yayan:
Manipulation of Camera Sensor Data via Fault Injection for Anomaly Detection Studies in Verification and Validation Activities For AI. - Siddhartha Dalal, Zihe Wang, Siddhanth Sabharwal:
Identifying Ransomware Actors in the Bitcoin Network. - Kolade M. Owolabi, Abdon Atangana:
On the formulation of fractional Adams-Bashforth method with Atangana-Baleanu-Caputo derivative to model chaotic problems. - Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas:
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. - Po-Wei Lin, Shang-Yu Su, Yun-Nung Chen:
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues. - Pengfei Zhu, Xiaoguang Li, Jian Li, Hai Zhao:
Unsupervised Open-Domain Question Answering. - Hernán Ponce de León, Johannes Kinder:
Cats vs. Spectre: An Axiomatic Approach to Modeling Speculative Execution Attacks. - Qianwei Xia, Juyong Zhang, Zheng Fang, Jin Li, Mingyue Zhang, Bailin Deng, Ying He:
GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries. - Zeyu Wang, Meiqing Wang:
Chi-square Loss for Softmax: an Echo of Neural Network Structure. - Ioannis Partalas:
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation. - Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
Self-Calibrating Neural Radiance Fields. - Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan:
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. - Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Christian Mazzucco, Matteo Matteucci, Umberto Spagnolini:
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications. - Philipp Geyer, Manav Mahan Singh, Xia Chen:
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning. - Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß:
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts. - Matthew Huggins, Anastasia K. Ostrowski, Andrew Rapo, Eric Woudenberg, Cynthia Breazeal, Hae Won Park:
The Interaction Flow Editor: A New Human-Robot Interaction RapidPrototyping Interface. - Zhengyang Chen, Shuai Wang, Yanmin Qian:
Self-Supervised Learning Based Domain Adaptation for Robust Speaker Verification. - Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel:
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. - Wei Zhang, Taejoon Kim:
Successful Recovery Performance Guarantees of Noisy SOMP. - Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li:
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. - Daswin De Silva, Damminda Alahakoon:
An Artificial Intelligence Life Cycle: From Conception to Production. - Angxiu Ni:
On computing derivatives of transfer operators and linear responses in higher dimensions. - Anoop Cherian, Goncalo Dias Pais, Siddarth Jain, Tim K. Marks, Alan Sullivan:
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images. - Houssam-Eddine Zahaf, Nicola Capodieci:
Building Time-Triggered Schedules for typed-DAG Tasks with alternative implementations. - Zeyuan Wang, Chaofeng Sha, Su Yang:
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. - Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari:
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. - Zixian Huang, Ao Wu, Yulin Shen, Gong Cheng, Yuzhong Qu:
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions. - Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One-shot domain adaptation for semantic face editing of real world images using StyleALAE. - Maximus Mutschler, Andreas Zell:
Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training. - Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. - Linyang Li, Demin Song, Xiaonan Li, Jiehang Zeng, Ruotian Ma, Xipeng Qiu:
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning. - Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis:
Robotic Lime Picking by Considering Leaves as Permeable Obstacles. - Liesbeth Allein, Marie-Francine Moens, Domenico Perrotta:
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection. - Luiz Henrique Bonifacio, Israel Campiotti, Roberto A. Lotufo, Rodrigo Frassetto Nogueira:
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset. - Wenjie Yin, Rabab Alkhalifa, Arkaitz Zubiaga:
The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset. - Linus Scheibenreif, Michael Mommert, Damian Borth:
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. - Shuai Ma, Ruixin Yang, Xiong Deng, Xintong Ling, Xun Zhang, Fuhui Zhou, Shiyin Li, Derrick Wing Kwan Ng:
Spectral and Energy Efficiency of ACO-OFDM in Visible Light Communication Systems. - Ali Karakoç, Mehmet Sükrü Kuran, H. Birkan Yilmaz:
More WiFi for Everyone: Increasing Spectral Efficiency in WiFi6 Networks using OBSS/PD Mechanism. - Viktoria Schuster, Anders Krogh:
A manifold learning perspective on representation learning: Learning decoder and representations without an encoder. - Florian Stinner, Martin Wiecek, Marc Baranski, Alexander Kümpel, Dirk Müller:
Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams. - Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Stockade: Hardware Hardening for Distributed Trusted Sandboxes. - Abdul Haddi Amjad, Danial Saleem, Fareed Zaffar, Muhammad Ali Gulzar, Zubair Shafiq:
TrackerSift: Untangling Mixed Tracking and Functional Web Resources. - Stijn Cambie, Michiel de Bondt, Henk Don:
Extremal Binary PFAs in a Cerny Family. - Abderrahmen Amich, Birhanu Eshete:
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks. - Michael R. Glass, Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Alfio Gliozzo:
Robust Retrieval Augmented Generation for Zero-shot Slot Filling. - Vitaliy Kinakh, Olga Taran, Svyatoslav Voloshynovskiy:
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets. - Anne Draelos, Pranjal Gupta, Na Young Jun, Chaichontat Sriworarat, John M. Pearson:
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds. - Saraswathy Ramanathan, Gaurav Gautam, Vikram Srinivasan, Parimal Parag:
Latency-Redundancy Tradeoff in Distributed Read-Write Systems. - Abderrahmen Amich, Birhanu Eshete:
Morphence: Moving Target Defense Against Adversarial Examples. - Václav Blazej, Michal Opler, Matas Sileikis, Pavel Valtr:
Non-homotopic Loops with a Bounded Number of Pairwise Intersections. - Hao Liu, Pieter Abbeel:
APS: Active Pretraining with Successor Features. - Prianka Banik, Lin Li, Xishuang Dong:
A Novel Dataset for Keypoint Detection of quadruped Animals from Images. - Nils Feldhus, Robert Schwarzenberg, Sebastian Möller:
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. - Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen:
DepthTrack : Unveiling the Power of RGBD Tracking. - Caleb M. Bowyer:
Approximation Methods for Partially Observed Markov Decision Processes (POMDPs). - Maria Kosche, Tore Koß, Florin Manea, Stefan Siemer:
Absent Subsequences in Words. - (Withdrawn) S4-Crowd: Semi-Supervised Learning with Self-Supervised Regularisation for Crowd Counting.
- Juan-Andrés Pérez-Rúa:
Solver-Free Heuristics to Retrieve Feasible Points for Offshore Wind Farm Collection System. - Mirco Ciallella, Mario Ricchiuto, Renato Paciorri, Aldo Bonfiglioli:
Extrapolated DIscontinuity Tracking for complex 2D shock interactions. - Tian Lan, Sunil Srinivasa, Stephan Zheng:
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. - Erich Walter, Kimberly Ferguson-Walter, Ahmad Ridley:
Incorporating Deception into CyberBattleSim for Autonomous Defense. - Jingtang Liang, Cheng Wang, Yujie Cheng, Zheng Wang, Fang Wang, Liyu Huang, Zhibin Yu, Yubo Wang:
Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge. - Mohammad Mamun, Kevin Shi:
DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning. - Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang, Yuan Cao, Yonghui Wu:
Effective Sequence-to-Sequence Dialogue State Tracking. - Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin:
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. - Michael Seeber, Martin R. Oswald, Roi Poranne:
Realistic Hands: A Hybrid Model for 3D Hand Reconstruction. - Pavel Andreev, Alexander Fritzler, Dmitry P. Vetrov:
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study. - Nikolay Ivanov, Qiben Yan:
EthClipper: A Clipboard Meddling Attack on Hardware Wallets with Address Verification Evasion. - Dimion Asael, Zachary M. Ziegler, Yonatan Belinkov:
A Generative Approach for Mitigating Structural Biases in Natural Language Inference. - Carl Feghali, Owen D. Merkel:
Mixing colourings in 2K2-free graphs. - Lars Kotthoff, Hud Wahab, Patrick Johnson:
Bayesian Optimization in Materials Science: A Survey. - Joshua Ziegler, Thomas McJunkin, E. S. Joseph, Sandesh S. Kalantre, Benjamin Harpt, D. E. Savage, Mark G. Lagally, Mark A. Eriksson, Jacob M. Taylor, Justyna P. Zwolak:
Toward Robust Autotuning of Noisy Quantum Dot Devices. - Fernando Lejarza, Michael Baldea:
DySMHO: Data-Driven Discovery of Governing Equations for Dynamical Systems via Moving Horizon Optimization. - Fabricio Toscano, Gustavo M. Bosyk, Steeve Zozor, Mariela Portesi:
Fluctuation and dissipation in memoryless open quantum evolutions. - Nolan B. Gutierrez, William J. Beksi:
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields. - Margaret-Ellen Messinger, Spencer Yarnell:
The Pyro game: a slow intelligent fire. - Tao Ge, Maria Medrano, Rui Liao, David G. Politte, Jeffrey F. Williamson, Joseph A. O'Sullivan:
A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy. - Torsten Ueckerdt, David R. Wood, Wendy Yi:
An improved planar graph product structure theorem. - Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, Lorenzo Napolitano, Emanuele Pugliese, Andrea Zaccaria:
Citations or dollars? Early signals of a firm's research success. - Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe:
Subjective Image Quality Assessment with Boosted Triplet Comparisons. - Xin Xing, Xiaoxu Li, Lin Lin:
Unified analysis of finite-size error for periodic Hartree-Fock and second order Møller-Plesset perturbation theory. - Flore Sentenac, Jialin Yi, Clément Calauzènes, Vianney Perchet, Milan Vojnovic:
Pure Exploration and Regret Minimization in Matching Bandits. - Nanao Kita:
Bipartite Graft III: General Case. - Hans Nikolaus Beck, Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Jan Reich:
Phänomen-Signal-Modell: Formalismus, Graph und Anwendung. - Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis:
Provably Efficient Lottery Ticket Discovery. - Prachi Gupta, Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn:
Statistical learning method for predicting density-matrix based electron dynamics. - Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou:
Energy harvesting from anisotropic fluctuations. - Anu T. S, Tara Raveendran:
CNN based Channel Estimation using NOMA for mmWave Massive MIMO System. - Feng Hu, Lin Ma, Xiu-Xiu Zhan, Yinzuo Zhou, Chuang Liu, Haixing Zhao, Zi-Ke Zhang:
The Aging Effect in Evolving Scientific Citation Networks. - Sara Grassi, Hui Huang, Lorenzo Pareschi, Jinniao Qiu:
Mean-field particle swarm optimization. - Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Style Curriculum Learning for Robust Medical Image Segmentation. - Candi Zheng, Yang Wang, Shiyi Chen:
Data Driven Macroscopic Modeling across Knudsen Numbers for Rarefied Gas Dynamics and Application to Rayleigh Scattering. - Víctor Blanco, Gabriel González, Yolanda Hinojosa, Diego Ponce, Miguel A. Pozo, Justo Puerto:
Network Flow based approaches for the Pipelines Routing Problem in Naval Design. - Zhaofeng Shi:
A Survey on Audio Synthesis and Audio-Visual Multimodal Processing. - Georgios M. Nikolopoulos:
Remote quantum-safe authentication of entities with physical unclonable functions. - Zi Xu, Jingjing Shen, Ziqi Wang, Yuhong Dai:
Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems. - Peter Frankl, Sergei Kiselev, Andrey Kupavskii:
On the maximum number of distinct intersections in an intersecting family. - Eghbal Rahimikia, Stefan Zohren, Ser-Huang Poon:
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding. - Vera Bulankina, Andrey Kupavskii:
Choice number of Kneser graphs. - Wesley H. Holliday, Eric Pacuit:
Stable Voting. - Michael A. Bennett, Greg Martin, Kevin O'Bryant:
Multidimensional Padé approximation of binomial functions: Equalities. - Pavlo Pinchuk, Jean-Luc Margot:
A Machine-Learning-Based Direction-of-Origin Filter for the Identification of Radio Frequency Interference in the Search for Technosignatures. - Davide Poderini, Emanuele Polino, Giovanni Rodari, Alessia Suprano, Rafael Chaves, Fabio Sciarrino:
Ab-initio experimental violation of Bell inequalities. - Cheng Zhong, Yueming Lv, Huayi Li, Jikai Chen, Yang Li:
Frequency support Scheme based on parametrized power curve for de-loaded Wind Turbine under various wind speed. - Shufan Huang, Yongpeng Wu, Siyuan Gao:
Data-driven Clustering in Ad-hoc Networks based on Community Detection. - Jacob M. White, Stuart Crozier, Shekhar S. Chandra:
Bespoke Fractal Sampling Patterns for Discrete Fourier Space via the Kaleidoscope Transform. - Manie Tadayon, Greg Pottie:
Causal Inference in Educational Systems: A Graphical Modeling Approach. - Alain Durmus, Andreas Eberle:
Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension. - Jens Abraham, Torbjörn Ekman:
Local Diversity and Ultra-Reliable Antenna Arrays. - Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel:
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. - Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven:
Tensor completion using geodesics on Segre manifolds. - Akihito Sudo:
Fundamental Advantage of Feedback Control Based on a Generalized Second Law of Thermodynamics. - Yong Sheng Soh, Antonios Varvitsiotis:
Multiplicative updates for symmetric-cone factorizations. - Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos:
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone. - Vasileios Papapanagiotou, Stefanos Ganotakis, Anastasios Delopoulos:
Bite-Weight Estimation Using Commercial Ear Buds. - José Henrique de Morais Goulart, Romain Couillet, Pierre Comon:
A Random Matrix Perspective on Random Tensors. - Liam Hodgkinson, Umut Simsekli, Rajiv Khanna, Michael W. Mahoney:
Generalization Properties of Stochastic Optimizers via Trajectory Analysis. - Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio M. Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra:
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. - Emilio Martínez-Pañeda:
Progress and opportunities in modelling environmentally assisted cracking. - Andrey Leonidov, Alexey Savvateev, Andrew G. Semenov:
Ising Game on Graphs. - Irene Meta, Fernando M. Cucchietti, Diego Navarro, Eduardo Graells-Garrido, Vicente Guallart:
A physiology-inspired framework for holistic city simulations. - Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. - Georgia Papacharalampous, Hristos Tyralis, Ilias G. Pechlivanidis, Salvatore Grimaldi, Elena Volpi:
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale. - Sahara Ali, Yiyi Huang, Xin Huang, Jianwu Wang:
Sea Ice Forecasting using Attention-based Ensemble LSTM. - Nan Chen, Shubin Fu, Georgy E. Manucharyan:
An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models. - M. Isfandbod, Emilio Martínez-Pañeda:
A mechanism-based multi-trap phase field model for hydrogen assisted fracture. - Daniele Gammelli, Yihua Wang, Dennis Prak, Filipe Rodrigues, Stefan Minner, Francisco Câmara Pereira:
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management. - Federico Amato, Fabian Guignard, Alina Walch, Nahid Mohajeri, Jean-Louis Scartezzini, Mikhail F. Kanevski:
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential. - Xiangyun Li, Peng Chen, Zhanpeng Bao:
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification. - Oliver Cobb, Arnaud Van Looveren, Janis Klaise:
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates. - Manuel Chica, Juan M. Hernández, Francisco C. Santos:
Cooperation dynamics under pandemic risks and heterogeneous economic interdependence. - Zengrui Jin, Mengzhe Geng, Xurong Xie, Jianwei Yu, Shansong Liu, Xunying Liu, Helen Meng:
Adversarial Data Augmentation for Disordered Speech Recognition. - Carlotta Langer, Nihat Ay:
How Morphological Computation shapes Integrated Information in Embodied Agents. - Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng:
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. - Siyuan Song, Brecht Desplanques, Celest De Moor, Kris Demuynck, Nilesh Madhu:
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech. - Benjamin van Niekerk, Leanne Nortje, Matthew Baas, Herman Kamper:
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing. - Lieuwe Vinkhuijzen, Tim Coopmans, David Elkouss, Vedran Dunjko, Alfons Laarman:
LIMDD A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States. - Shinkyu Park, Anastasia S. Bizyaeva, Mari Kawakatsu, Alessio Franci, Naomi Ehrich Leonard:
Rationality and Reciprocity of Opinion Dynamics in Games. - Thijs Bos, Johannes Schmidt-Hieber:
Convergence rates of deep ReLU networks for multiclass classification. - Michael Joswig, Max Klimm, Sylvain Spitz:
Generalized permutahedra and optimal auctions. - Peijian Ding:
Accelerated Alternating Minimization for X-ray Tomographic Reconstruction. - Charles Camacho, Silvia Fernández-Merchant, Marija Jelic Milutinovic, Rachel Kirsch, Linda Kleist, Elizabeth Bailey Matson, Jennifer White:
The Tripartite-Circle Crossing Number of K2, 2, n. - Tobias Haug, Chris N. Self, M. S. Kim:
Large-scale quantum machine learning. - Saman Taheri:
A Multi-Period Water Network Planning for Industrial Parks; Impact of Design Periods on Park's Flexibility. - Gabriel A. Alzamendi, Sean D. Peterson, Byron D. Erath, Robert E. Hillman, Matías Zañartu:
Triangular body-cover model of the vocal folds with coordinated activation of five intrinsic laryngeal muscles with applications to vocal hyperfunction. - Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed, Zadid Khan, Frank Ngeni, Gurcan Comert, Judith Mwakalonge, Dimitra Michalaka, Mashrur Chowdhury:
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack. - Wesley H. Holliday, Mikayla Kelley:
Escaping Arrow's Theorem: The Advantage-Standard Model. - Tim S. Evans, Bingsheng Chen:
Linking the Network Centrality Measures Closeness and Degree. - Joel Ye, Chethan Pandarinath:
Representation learning for neural population activity with Neural Data Transformers. - Akshay Srinivasan, Emanuel Todorov:
Computing the Newton-step faster than Hessian accumulation. - Sophie Alyx Taylor, Son Cao Tran, Dan V. Nicolau Jr.:
Taking Cognition Seriously: A generalised physics of cognition. - Zhenhao Tang, Shikui Wang, Shengxian Cao, Yang Li, Tao Shen:
Dynamic Prediction Model for NOx Emission of SCR System Based on Hybrid Data-driven Algorithms. - Budhi Surya:
Some results on maximum likelihood estimation under the EM algorithm: Asymptotic properties and consistent sandwich estimator of covariance matrix. - Min Tao, Xiao-Ping Zhang:
A Unified Study on L1 over L2 Minimization. - Saida Mussakhojayeva, Yerbolat Khassanov, Huseyin Atakan Varol:
A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English. - Enrico Tomelleri, Giustino Tonon:
Linking Sap Flow Measurements with Earth Observations. - Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui:
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting. - Hugo J. Kuijf:
MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net. - Juan Miguel Valverde, Jussi Tohka:
Region-wise Loss for Biomedical Image Segmentation. - Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-Based Network For High Dynamic Range Imaging. - Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim:
Quantum Neural Networks: Concepts, Applications, and Challenges. - Vanessa Barnekow, Dominik Binder, Niclas Kromrey, Pascal Munaretto, Andreas Schaad, Felix Schmieder:
Creation and Detection of German Voice Deepfakes. - Nibodh Boddupalli:
An introduction to extended dynamic mode decomposition: Estimation of the Koopman operator and outputs. - Jiaxi Cheng, Siliu Xu:
Learning Nonlinear Waves in Plasmon-induced Transparency. - Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, Xueying Zeng, Qing Zhang:
Two New Stenoses Detection Methods of Coronary Angiograms. - Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. - Chuang Liu, Shimin Yu, Ying Huang, Zi-Ke Zhang:
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks. - Jonathan Macoskey, Grant P. Strimel, Jinru Su, Ariya Rastrow:
Amortized Neural Networks for Low-Latency Speech Recognition. - Jonathan Macoskey, Grant P. Strimel, Ariya Rastrow:
Learning a Neural Diff for Speech Models. - Giulia De Pasquale, Maria Elena Valcher:
Algebraic and Graph-Theoretic Conditions for the Herdability of Linear Time-Invariant Systems. - Saumya Gupta, Diplav Srivastava, Umang Chaturvedi, Anurag Jain, Gaurav Khandelwal:
Del-Net: A Single-Stage Network for Mobile Camera ISP. - Wooseok Jung:
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research. - Michelle Delcourt, Luke Postle:
Reducing Linear Hadwiger's Conjecture to Coloring Small Graphs. - Michal Cokina, Viera Maslej-Kresnáková, Peter Butka, Stefan Parimucha:
Automatic classification of eclipsing binary stars using deep learning methods. - Mohammad Sadegh Safari, Vahid Pourahmadi, Patrick Mitran, Hamid Sheikhzadeh:
Progressive Transmission using Recurrent Neural Networks. - Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen:
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI. - Jonathan Macoskey, Grant P. Strimel, Ariya Rastrow:
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization. - Zhaolu Dong, Shan Huang, Simiao Ma, Yining Qian:
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning. - Yuetian Luo, Xudong Li, Anru R. Zhang:
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. - Sotaro Katayama, Toshiyuki Ohtsuka:
Lifted contact dynamics for efficient direct optimal control of rigid body systems with contacts. - David M. Ambrose, Roberto Camassa, Jeremy Louis Marzuola, Richard M. McLaughlin, Quentin Robinson, Jon Wilkening:
Numerical Algorithms for Water Waves with Background Flow over Obstacles and Topography. - Kevin Ford, Denka Kutzarova, George Shakan:
Explicit RIP matrices: an update. - Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge:
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. - Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki:
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation. - Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka:
Automatic hemisphere segmentation in rodent MRI with lesions. - Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez:
MRCpy: A Library for Minimax Risk Classifiers. - Paul Manns, Stefan Ulbrich:
A simplified Newton method to generate snapshots for POD models of semilinear optimal control problems. - Duncan Adamson, Argyrios Deligkas, Vladimir V. Gusev, Igor Potapov:
The k-Centre Selection Problem for Multidimensional Necklaces. - Truc Nguyen, Franz Pernkopf:
Lung Sound Classification Using Co-tuning and Stochastic Normalization. - Hajime Tanaka, Mohamed Sabri, Renato Portugal:
Spatial Search on Johnson Graphs by Continuous-Time Quantum Walk. - Gherardo Varando, Federico Carli, Manuele Leonelli:
Staged trees and asymmetry-labeled DAGs. - Jenny Venton, Peter M. Harris, Ashish Sundar, Nadia A. S. Smith, Philip J. Aston:
Robustness of convolutional neural networks to physiological ECG noise. - Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li:
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19. - Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. - Nicolas Ewen, Naimul Khan:
Online unsupervised Learning for domain shift in COVID-19 CT scan datasets. - Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, Yifan Li, Jiangzhou Wang:
High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers. - Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren:
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. - Christopher Lundy, John M. O'Toole:
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection. - Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev:
Discovering outliers in the Mars Express thermal power consumption patterns. - Chao Zhang, Sthitie Bom:
Auto-encoder based Model for High-dimensional Imbalanced Industrial Data. - Lingling Lao, Dan E. Browne:
2QAN: A quantum compiler for 2-local qubit Hamiltonian simulation algorithms. - Minyi Zhao, Yi Xu, Shuigeng Zhou:
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction. - Diego F. G. Coelho, Renato J. Cintra, Arjuna Madanayake, Sirani M. Perera:
Low-complexity Scaling Methods for DCT-II Approximations. - Jose H. Blanchet, Karthyek Murthy, Viet Anh Nguyen:
Statistical Analysis of Wasserstein Distributionally Robust Estimators. - Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang:
Physics-based Noise Modeling for Extreme Low-light Photography. - Apoorva Sikka, Skand, Jitender Singh Virk, Deepti R. Bathula:
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease. - Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Spacetime Neural Network for High Dimensional Quantum Dynamics. - Yifan Chen, Eliu A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack:
A FAIR and AI-ready Higgs Boson Decay Dataset. - Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti:
Deep multi-task mining Calabi-Yau four-folds. - Changhong Mou, Elia Merzari, Omer San, Traian Iliescu:
A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. - Mohamed I. AlHajri, Raed M. Shubair, Marwa Chafii:
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach. - Yang Bai, Kuntara Pukthuanthong:
Machine Learning Classification Methods and Portfolio Allocation: An Examination of Market Efficiency. - Brynmor Chapman:
The Gotsman-Linial Conjecture is False. - Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani:
Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function. - Anastasiia Minenkova, Evelyn Nitch-Griffin, Vadim Olshevsky:
Gohberg-Kaashoek Numbers and Stability of the Schur Canonical Form. - Ziheng Qiu, Xinyi Guo, Tianao Lu, Pan Qi, Zibang Zhang, Jingang Zhong:
Efficient Fourier single-pixel imaging with Gaussian random sampling. - Danylo Malyuta, Yue Yu, Purnanand Elango, Behçet Açikmese:
Advances in Trajectory Optimization for Space Vehicle Control. - Pawel Przybylowicz, Michal Sobieraj, Lukasz T. Stepien:
Efficient approximation of SDEs driven by countably dimensional Wiener process and Poisson random measure. - Tiange Wang, Zijun Zhang, Kwok-Leung Tsui:
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction. - Chihiro Watanabe, Taiji Suzuki:
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
Joint Geometry and Color Projection-based Point Cloud Quality Metric. - Shufei Ge, Shijia Wang, Lloyd T. Elliott:
Shape Modeling with Spline Partitions. - Aurelien Gribinski, Adam W. Marcus:
Existence and polynomial time construction of biregular, bipartite Ramanujan graphs of all degrees. - Pawan Bharadwaj, Matthew Li, Laurent Demanet:
Redatuming physical systems using symmetric autoencoders. - Steven J. Brams, Mehmet S. Ismail:
Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black. - David Barina:
Comparison of Lossless Image Formats. - Minhong Kim:
Predicting Post-Concussion Syndrome Outcomes with Machine Learning. - Wei Wang, Fei Wen, Zeyu Yan, Rendong Ying, Peilin Liu:
Optimal Transport for Unsupervised Restoration Learning. - Mohamed Camil Belhadjoudja:
Chaos Synchronization using Nonlinear Observers with applications to Cryptography. - Shanaka Perera, Virginia Aglietti, Theodoros Damoulas:
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities. - Laurent Condat:
Tikhonov Regularization of Circle-Valued Signals. - Maximilian Rixner, Phaedon-Stelios Koutsourelakis:
Self-supervised optimization of random material microstructures in the small-data regime. - Eduardo D. Sontag:
Remarks on input to state stability of perturbed gradient flows, motivated by model-free feedback control learning. - Yuliia Boiarinova, Yakov Kalinovskiy, Dmitriy Lande:
Application of hypercomplex number system in the dynamic network model. - Christian Himpe, Sara Grundel, Peter Benner:
Next-Gen Gas Network Simulation. - Agostino Funel:
A method to compute the communicability of nodes through causal paths in temporal networks. - Mark Tygert:
Cumulative differences between subpopulations. - Andrey Boris Khesin, Kevin Ren:
Extending the Graph Formalism to Higher-Order Gates. - Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula:
Q-error Bounds of Random Uniform Sampling for Cardinality Estimation. - Miguel del Alamo:
Deep learning for inverse problems with unknown operator. - Xinhao Mei, Qiushi Huang, Xubo Liu, Gengyun Chen, Jingqian Wu, Yusong Wu, Jinzheng Zhao, Shengchen Li, Tom Ko, H. Lilian Tang, Xi Shao, Mark D. Plumbley, Wenwu Wang:
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning. - Portia Anderson, Jacob P. Matherne, Julianna Tymoczko:
Generalized splines on graphs with two labels and polynomial splines on cycles. - Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System. - Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh:
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. - Guangyan Zhang, Ying Qin, Daxin Tan, Tan Lee:
Applying the Information Bottleneck Principle to Prosodic Representation Learning. - Akash Gupta, Padmaja Jonnalagedda, Bir Bhanu, Amit K. Roy-Chowdhury:
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning. - Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe:
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. - Tugce Karatas, Ali Hirsa:
Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques. - Rupam Ojha, C. Chandra Sekhar:
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features. - Tugce Karatas, Federico Klinkert, Ali Hirsa:
Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting. - Abdullah Khan, Alexei Lisitsa, Viktor Lopatkin, Alexei Vernitski:
Circle graphs (chord interlacement graphs) of Gauss diagrams: Descriptions of realizable Gauss diagrams, algorithms, enumeration. - Yongxin Chen, Tryphon T. Georgiou, Michele Pavon:
The most likely evolution of diffusing and vanishing particles: Schrodinger Bridges with unbalanced marginals. - Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang:
Interpolation can hurt robust generalization even when there is no noise. - Khoi Khac Nguyen, Antonino Masaracchia, Tan Do-Duy, H. Vincent Poor, Trung Q. Duong:
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning. - Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin, Long Dinh Nguyen, Octavia A. Dobre, Trung Q. Duong:
Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications. - Elena Gaburro, Manuel J. Castro, Michael Dumbser:
A well balanced finite volume scheme for general relativity. - M. A. Shalu, Cyriac Antony:
Complexity of Restricted Star Colouring. - Jinseok Choi, Jeonghun Park, Namyoon Lee:
Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems. - Benjamin Huth, Andreas Salzburger, Tilo Wettig:
Machine learning for surface prediction in ACTS. - Wiebke Bartolomaeus, Youness Boutaib, Sandra Nestler, Holger Rauhut:
Path classification by stochastic linear recurrent neural networks. - Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging. - Qiang Zheng, Dongxiao Zhang:
RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation. - Eneet Kaur, Siddhartha Das, Mark M. Wilde, Andreas J. Winter:
Extendibility limits the performance of quantum processors. - Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
RadioMic: Sound Sensing via mmWave Signals. - Nafiul Rashid, Luke Chen, Manik Dautta, Abel Jimenez, Peter Tseng, Mohammad Abdullah Al Faruque:
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor. - Mehmet Yamac, Ugur Akpinar, Erdem Sahin, Serkan Kiranyaz, Moncef Gabbouj:
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation. - Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Yu Sun:
Pattern Recognition in Vital Signs Using Spectrograms. - Mohammed I. Abouheaf, Shuzheng Qu, Wail Gueaieb, Rami S. Abielmona, Moufid Harb:
Responding to Illegal Activities Along the Canadian Coastlines Using Reinforcement Learning. - Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. - Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha:
Incremental learning of LSTM framework for sensor fusion in attitude estimation. - Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor, Federico Battiston:
Higher-order motif analysis in hypergraphs. - Arthur G. Rattew, Marco Pistoia:
On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem. - Masahiko Ueda:
Memory-two strategies forming symmetric mutual reinforcement learning equilibrium in repeated prisoner's dilemma game. - Efekan Kökcü, Daan Camps, Lindsay Bassman, James K. Freericks, Wibe A. de Jong, Roel Van Beeumen, Alexander F. Kemper:
Algebraic Compression of Quantum Circuits for Hamiltonian Evolution. - Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agundez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa E. Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso:
Estimating Active Cases of COVID-19. - Seunghyun Kim, Liam Madden, Emiliano Dall'Anese:
Convergence of the Inexact Online Gradient and Proximal-Gradient Under the Polyak-Łojasiewicz Condition. - Fan Chen, Sebastien Roch, Karl Rohe, Shuqi Yu:
Estimating Graph Dimension with Cross-validated Eigenvalues. - Xue Zhang, Xiaoqun Zhang:
Variable metric extrapolation proximal iterative hard thresholding method for 𝓁0 minimization problem. - Gorka Muñoz-Gil, Guillem Guigó i Corominas, Maciej Lewenstein:
Unsupervised learning of anomalous diffusion data. - David P. Hofmeyr:
Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes. - Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan:
A k-mer Based Approach for SARS-CoV-2 Variant Identification. - Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. - Loc Hoang Nguyen, Michael V. Klibanov:
Carleman estimates and the contraction principle for an inverse source problem for nonlinear hyperbolic equation. - Mojtaba Heydari, Frank Cwitkowitz, Zhiyao Duan:
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking. - Farbod Ekbatani, Bento Natura, László A. Végh:
Circuit imbalance measures and linear programming. - Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng:
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. - Sujit Rao:
Macaulay bases of modules. - Andrii O. Maksymov, Jason Nguyen, Vandiver Chaplin, Yun Seong Nam, Igor L. Markov:
Detecting Qubit-coupling Faults in Ion-trap Quantum Computers. - Tareq Y. Al-Naffouri, Muhammad Moinuddin, Anum Ali:
Mean-square Analysis of the NLMS Algorithm. - Xianliang Gong, Yulin Pan:
Discussion: "Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions" (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141(10): 101404). - José Manuel Rodríguez Caballero:
Incompatibility between 't Hooft's and Wolfram's models of quantum mechanics. - Luai Al-Labadi, Forough Fazeli-Asl, Zahra Saberi:
A Bayesian Nonparametric Estimation of Mutual Information. - Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari:
Pathfinder: Parallel quasi-Newton variational inference. - John Sebastian H. Simon, Hirofumi Notsu:
Maximizing Vortex for the Navier-Stokes Flow with a Convective Boundary Condition: A Shape Design Problem. - Stefan Baumgartner, Mario Huemer, Michael Lunglmayr:
Efficient Majority Voting in Digital Hardware. - Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck, Christian Rey:
Uncertainty quantification for industrial design using dictionaries of reduced order models. - Jean-Pierre Magnot, Jirí Mazurek, Viera Cernanová:
A gradient method for inconsistency reduction of pairwise comparisons matrices. - Ahmed Mustafa, Jan Büthe, Srikanth Korse, Kishan Gupta, Guillaume Fuchs, Nicola Pia:
A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate. - Georgios Mitrentsis, Hendrik Lens:
An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting. - Nikolai Nøjgaard, Walter Fontana, Marc Hellmuth, Daniel Merkle:
Cayley Graphs of Semigroups Applied to Atom Tracking in Chemistry. - Abby Stylianou, Robert Pless, Nadia Shakoor, Todd C. Mockler:
Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum. - Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team Power and Hierarchy: Understanding Team Success. - Claire Mathieu, Victor Verdugo:
Apportionment with Parity Constraints. - Zhenghao Guo, Verity M. McClelland, Osvaldo Simeone, Kerry R. Mills, Zoran Cvetkovic:
Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. - Sayantan Kumar, Inez Y. Oh, Suzanne E. Schindler, Albert M. Lai, Philip R. O. Payne, Aditi Gupta:
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review. - Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui:
Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge. - Janek Kozicki, Anton Gladky, Klaus Thoeni:
Implementation of high-precision computation capabilities into the open-source dynamic simulation framework YADE. - Charalambos Chrysostomou, Floris Alexandrou, Mihalis A. Nicolaou, Huseyin Seker:
Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks. - Patrick Solé:
The covering radius of permutation designs. - Georg Krempl, Daniel Kottke, Tuan Pham Minh:
ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity. - Luis Fernando Abanto-Leon, Matthias Hollick, Gek Hong Sim:
BEAMWAVE: Cross-Layer Beamforming and Scheduling for Superimposed Transmissions in Industrial IoT mmWave Networks. - Andre F. Ribeiro:
The External Validity of Combinatorial Samples and Populations. - Heinz H. Bauschke, Manish Krishan Lal, Xianfu Wang:
The projection onto the cross. - Yuefeng Han, Cun-Hui Zhang:
Tensor Principal Component Analysis in High Dimensional CP Models. - Yingkai Ouyang, Ching-Yi Lai:
Linear programming bounds for quantum channels acting on quantum error-correcting codes. - Tero Harju:
A Note on Squares in Binary Words. - Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. - Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. - Michal Wrobel, Panos Papanastasiou, Daniel Peck:
Numerical simulation of hydraulic fracturing: a hybrid FEM based algorithm. - Arnulf Jentzen, Adrian Riekert:
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions. - Felix Brandt, Patrick Lederer:
Characterizing the Top Cycle via Strategyproofness. - Alper Demir:
Adaptive Time-Resolved Mass Spectrometry with Nanomechanical Resonant Sensors. - Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad, Simi Bajaj, Omar Hisham Alsadoon, Tarik A. Rashid, Rasha Subhi Ali, Oday D. Jerew:
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function. - Xiangyan Sun, Ke Liu, Yuquan Lin, Lingjie Wu, Haoming Xing, Minghong Gao, Ji Liu, Suocheng Tan, Zekun Ni, Qi Han, Junqiu Wu, Jie Fan:
ChemiRise: a data-driven retrosynthesis engine. - Shuting Gu, Hongqiao Wang, Xiang Zhou:
Active Learning for Transition State Calculation. - Rida Laraki, Estelle Varloot:
Level-strategyproof Belief Aggregation Mechanisms. - Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
Asymptotic convergence rates for averaging strategies. - Ferhat Yarkin, Justin P. Coon:
Modulation Based On A Simple MDS Code: Achieving Better Error Performance Than Index Modulation and Related Schemes. - Kamil Ciosek:
Imitation Learning by Reinforcement Learning. - Yangyi Lu, Ziping Xu, Ambuj Tewari:
Bandit Algorithms for Precision Medicine. - Jessica A. Enright, Kitty Meeks, William Pettersson, John Sylvester:
Tangled Paths: A Random Graph Model from Mallows Permutations. - Pavel Osinenko, Dmitrii Dobriborsci:
Effects of sampling and horizon in predictive reinforcement learning. - Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte:
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning. - Alexander N. Tait:
Quantifying power use in silicon photonic neural networks. - Thi Ngan Dong, Megha Khosla:
MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction. - Jeongwan Haah, Robin Kothari, Ewin Tang:
Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. - Sascha Kurz, Ivan N. Landjev, Assia Rousseva:
Classification of 3 mod 5 arcs in PG(3, 5). - Simon Axelrod, Eugene Shakhnovich, Rafael Gómez-Bombarelli:
Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential. - Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia:
A data-driven peridynamic continuum model for upscaling molecular dynamics. - Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker:
Imaging from STIX visibility amplitudes. - Farzam Hejazi, Katarina Vuckovic, Nazanin Rahnavard:
Spectrum Shaping For Multiple Link Discovery in 6G THz Systems. - James V. Stone:
Using Information Theory to Measure Psychophysical Performance. - Brian G. Vegetabile:
On the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions. - Brian Ning, Sebastian Jaimungal, Xiaorong Zhang, Maxime Bergeron:
Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders. - Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, Elham Yavari:
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction. - Jihao Long, Lei Wu:
Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay. - Yuanhao Gong:
One-Sided Box Filter for Edge Preserving Image Smoothing. - Yuan Luo, Bradley J. Nelson:
Accelerating Iterated Persistent Homology Computations with Warm Starts. - Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega:
Learning strange attractors with reservoir systems. - Anastasia Dunca, Frederick R. Adler:
Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models. - Stefan Felsner, Laura Merker, Torsten Ueckerdt, Pavel Valtr:
Linear Layouts of Complete Graphs. - Johannes Obenaus, Joachim Orthaber:
Edge Partitions of Complete Geometric Graphs (Part 1). - Tarun Kumar Chawdhury, David J. Grant, Hyun Yong Jin:
Deep2Lead: A distributed deep learning application for small molecule lead optimization. - Christian T. Brownlees, Jordi Llorens-Terrazas:
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction. - Sean English, Tomás Masarík, Grace McCourt, Erin Meger, Michael S. Ross, Sam Spiro:
Linear Bounds for Cycle-free Saturation Games. - Simeng Shao, Jacob Bien, Adel Javanmard:
Controlling the False Split Rate in Tree-Based Aggregation. - Gemma E. Derrick, Pei-Ying Chen, Thed N. van Leeuwen, Vincent Larivière, Cassidy R. Sugimoto:
The academic motherload: Models of parenting engagement and the effect on academic productivity and performance. - Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton:
Seismic wave propagation and inversion with Neural Operators. - Ronaldo Garcia, Boris Odehnal, Dan Reznik:
Loci of Poncelet Triangles with Multiple Caustics. - Qingqiong Cai, Jan Goedgebeur, Shenwei Huang:
Some Results on k-Critical P5-Free Graphs. - Zhan Zhang, Yuehai Wang, Jianyi Yang:
Mispronunciation Detection and Correction via Discrete Acoustic Units. - Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar, Sriram Ganapathy:
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition. - Nima Salehi Sadghiani, Saeid Motiian:
The Contextual Appointment Scheduling Problem. - Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. - James Davies, Tomasz Krawczyk, Rose McCarty, Bartosz Walczak:
Grounded L-graphs are polynomially χ-bounded. - Borjan Geshkovski, Enrique Zuazua:
Optimal actuator design via Brunovsky's normal form. - Colm Ó'Dúnlaing:
A coefficient related to splay-to-root traversal, correct to thousands of decimal places. - Kong Aik Lee, Qiongqiong Wang, Takafumi Koshinaka:
Xi-Vector Embedding for Speaker Recognition. - Frank Zhigang Wang:
Reply to arXiv: 2102.11963, An experimental demonstration of the memristor test, Y. V. Pershin, J. Kim, T. Datta, M. Di Ventra, 23 Feb 2021. Does an ideal memristor truly exist? - Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabó, Marisa Koini, Reinhold Schmidt, Mark de Rooij:
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification. - Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu:
Probabilistic methods for approximate archetypal analysis. - Le Thanh Tung, Pham Tuan Cuong:
Goal scoring in Premier League with Poisson regression. - Peter Akioyamen, Yi Zhou Tang, Hussien Hussien:
A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets. - Heta A. Gandhi, Andrew D. White:
City-wide modeling of Vehicle-to-Grid Economics to Understand Effects of Battery Performance. - Zehavit Leibovich, Ilan Gronau:
Eliminating unwanted patterns with minimal interference. - Ilya Chevyrev, Andris Gerasimovics, Hendrik Weber:
Feature Engineering with Regularity Structures. - Philip Greengard, Michael O'Neil:
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions. - Takao Inoué:
How to Make a New Logic. - Rajiv Krishnakumar, William J. Zeng:
Quantum Rounding. - Chi-Ning Chou, Peter J. Love, Juspreet Singh Sandhu, Jonathan Shi:
Limitations of Local Quantum Algorithms on Maximum Cuts of Sparse Hypergraphs and Beyond. - Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing:
Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition. - Sebastien Bonduelle, Frantisek Kardos:
Subcubic planar graphs of girth 7 are class I. - Markus Loecher, Qi Wu:
Data-driven advice for interpreting local and global model predictions in bioinformatics problems. - J. M. Landsberg:
Algebraic Geometry and Representation theory in the study of matrix multiplication complexity and other problems in theoretical computer science. - M. M. N. Bienkiewicz, A. Smykovskyi, Temitayo A. Olugbade, S. Janaqi, Antonio Camurri, Nadia Bianchi-Berthouze, Mårten Björkman, Benoît G. Bardy:
Bridging the gap between emotion and joint action. - Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz, Daniel Korzekwa, Daniel Saez-Trigueros, David McHardy, Kamil Pokora, Jakub Lachowicz, Jaime Lorenzo-Trueba, Viacheslav Klimkov:
Enhancing audio quality for expressive Neural Text-to-Speech. - Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu:
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations. - Pramod Asagodu, Kishore Thapliyal, Anirban Pathak:
Quantum and semi-quantum sealed-bid auction: Vulnerabilities and advantages. - Carl Shneider, Andong Hu, Ajay K. Tiwari, Monica G. Bobra, Karl Battams, Jannis Teunissen, Enrico Camporeale:
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission. - Firas Lethaus, Robert Kaul:
Cognitive factor forming an individual constituent in a driver model inferred from multiplicatory relationships between cognitive sub-factors. - Frederick Law, Antoine J. Cerfon, Benjamin Peherstorfer:
Accelerating the estimation of energetic particle confinement statistics in stellarators using multifidelity Monte Carlo. - Nikolai Krivulin, Sergei Sergeev:
Minimizing maximum lateness in bi-level projects by tropical optimization. - Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu:
High-dimensional Assisted Generative Model for Color Image Restoration. - Vyacheslav M. Abramov:
Evaluating the sum of positive series. - Sanjukta Krishnagopal, Ginestra Bianconi:
Spectral Detection of Simplicial Communities via Hodge Laplacians. - Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Weakly Supervised Continual Learning. - Poulami Das, Aditya Locharla, Cody Jones:
LILLIPUT: A Lightweight Low-Latency Lookup-Table Based Decoder for Near-term Quantum Error Correction. - Harish S. Bhat, Majerle Reeves, Sidra J. Goldman-Mellor:
Equity-Directed Bootstrapping: Examples and Analysis. - Donghwan Lee:
On the Semidefinite Duality of Finite-Horizon LQG Problem. - YongKyung Oh, Jiin Kwak, JuYoung Lee, Sungil Kim:
Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy. - Yang Li, Ruinong Wang, Zhen Yang:
Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting. - Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen:
The Proximal ID Algorithm. - Maksim Levental:
Tensor Networks for Simulating Quantum Circuits on FPGAs. - Gurcan Comert, Negash Begashaw, Negash G. Medhin:
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions. - Jeonghun Park, Jinseok Choi, Namyoon Lee, Wonjae Shin, H. Vincent Poor:
Rate-Splitting Multiple Access for Downlink MIMO: A Generalized Power Iteration Approach. - Chandan Singh, Wooseok Ha, Bin Yu:
Interpreting and improving deep-learning models with reality checks. - Armineh Rahmanian, Sadegh Bolouki, S. Rasoul Etesami, Abolfazl Mohebbi:
Partisan Confidence Model for Group Polarization. - Jun Liu, Jiayao Gao, Sanjay Jha, Wen Hu:
Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization. - Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee, Honggyu Jung, Seong-Whan Lee:
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints. - Toshiyuki Katsura, Katsuyuki Takashima:
Decomposed Richelot isogenies of Jacobian varieties of hyperelliptic curves and generalized Howe curves. - Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen, Juulia Lintula, Rachel Convey, Okko Räsänen:
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment. - Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. - Elisabeth Gaar, Markus Sinnl:
A scaleable projection-based branch-and-cut algorithm for the p-center problem. - Seid Koudia, Angela Sara Cacciapuoti, Marcello Caleffi:
How Deep the Theory of Quantum Communications Goes: Superadditivity, Superactivation and Causal Activation. - Olga Dorabiala, J. Nathan Kutz, Aleksandr Y. Aravkin:
Robust Trimmed k-means. - Gregory Rosenthal, Henry Yuen:
Interactive Proofs for Synthesizing Quantum States and Unitaries. - Jianzhu Huai, Yuan Zhuang, Qicheng Yuan, Yukai Lin:
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera-IMU System. - Jakob Ropers, Marco M. Mosca, Olga Anosova, Vitaliy Kurlin, Andrew I. Cooper:
Fast predictions of lattice energies by continuous isometry invariants of crystal structures. - Douglas J. Brinkerhoff:
Variational Inference at Glacier Scale. - Andrei Constantin, Thomas R. Harvey, André Lukas:
Heterotic String Model Building with Monad Bundles and Reinforcement Learning. - C. Tanner Fredieu, Justin Bui, Anthony F. Martone, Robert J. Marks II, Charles Baylis, R. Michael Buehrer:
Classification of Common Waveforms Including a Watchdog for Unknown Signals. - Yongxin Chen:
Density control of interacting agent systems. - Joshua Cutler, Dmitriy Drusvyatskiy, Zaïd Harchaoui:
Stochastic optimization under time drift: iterate averaging, step decay, and high probability guarantees. - Robert B. Calhoun, Clark Dunson, Murphey L. Johnson, Scott R. Lamkin, William R. Lewis, Robert L. Showen, Mark A. Sompel, Lester P. Wollman:
Precision and accuracy of acoustic gunshot location in an urban environment. - Subhadeep Mukhopadhyay:
InfoGram and Admissible Machine Learning. - William Barham, Philip J. Morrison, Eric Sonnendrücker:
A mimetic discretization of the macroscopic Maxwell equations in Hamiltonian form. - Jiaze Sun, Jiahui Deng, Yang Li, Shuaiyin Ma, Nan Han:
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model. - Matthew D. Kvalheim:
Poincaré-Hopf theorem for hybrid systems. - Yankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan:
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction. - Petr Gregor, Arturo Merino, Torsten Mütze:
Star transposition Gray codes for multiset permutations. - Jérémy Lavollée, Konrad J. Swanepoel:
Bounding the number of edges of matchstick graphs. - Quang-Hung Luu, Man Fai Lau, Sebastian P. H. Ng, Tsong Yueh Chen:
Testing Multiple Linear Regression Systems with Metamorphic Testing. - Conor C. Horgan, Mads S. Bergholt:
spectrai: A deep learning framework for spectral data. - Max Hahn-Klimroth, Olaf Parczyk, Yury Person:
Minimum degree conditions for containing an r-regular r-connected subgraph. - George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
Deep MRI Reconstruction with Radial Subsampling. - Maximilian Neumann:
Multidimensional Persistence: Invariants and Parameterization. - Thomas Chaffey:
A rolled-off passivity theorem. - Estevão B. Prado, Andrew C. Parnell, Nathan McJames, Ann O'Shea, Rafael A. Moral:
Semi-parametric Bayesian Additive Regression Trees. - Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. - Shuhui Gong, Xiaopeng Mo, Rui Cao, Yu Liu, Wei Tu, Ruibin Bai:
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19. - Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. - Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko:
AGNet: Weighing Black Holes with Deep Learning. - Abhinav Nellore, Rachel A. Ward:
Arbitrary-length analogs to de Bruijn sequences. - Ivan Jericevich, Patrick Chang, Tim Gebbie:
Simulation and estimation of an agent-based market-model with a matching engine. - Harun Siljak, Michael Taynnan Barros, Nathan D'Arcy, Daniel Perez Martins, Nicola Marchetti, Sasitharan Balasubramaniam:
Applying Intelligent Reflector Surfaces for Detecting Respiratory Aerosol Cloud using Terahertz Signals. - Michael Fitzke, Derick Whitley, Wilson Yau, Fernando Rodrigues Jr, Vladimir Fadeev, Cindy Bacmeister, Chris Carter, Jeffrey Edwards, Matthew P. Lungren, Mark Parkinson:
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting. - Priya Gupta, Cuize Han:
Aggregated Customer Engagement Model. - Shirin Panahi, Nelson Amaya, Isaac S. Klickstein, Galen Novello, Francesco Sorrentino:
Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks. - Dong-Sheng Wang:
A comparative study of universal quantum computing models: towards a physical unification. - Ryota Kawamata, Keiichi Betsui, Kazuyoshi Yamazaki, Rei Sakakibara, Takeshi Shimano:
Calibration Method of the Monocular Omnidirectional Stereo Camera. - Emily J. Evans, Amanda E. Francis:
Algorithmic techniques for finding resistance distances on structured graphs. - Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. - Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova:
Semantic Perturbations with Normalizing Flows for Improved Generalization. - Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, M. Salman Asif:
A Simple Framework for 3D Lensless Imaging with Programmable Masks. - Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk:
Thermal Image Processing via Physics-Inspired Deep Networks. - Deniz Mengu, Muhammed Veli, Yair Rivenson, Aydogan Ozcan:
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks. - Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong:
A New Journey from SDRTV to HDRTV. - Khang Le, Huy Nguyen, Tung Pham, Nhat Ho:
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. - Mervyn O'Luing, Steven D. Prestwich, S. Armagan Tarim:
Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs. - Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman:
Moser Flow: Divergence-based Generative Modeling on Manifolds. - Sergey Dovgal, Élie de Panafieu, Vlady Ravelomanana:
Exact enumeration of satisfiable 2-SAT formulae. - Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney:
Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. - Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Thiab R. Taha, Khaled Rasheed, Hamid R. Arabnia:
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM. - George Deligiannidis, Valentin De Bortoli, Arnaud Doucet:
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure. - Sarwan Ali, Tamkanat E. Ali, Muhammad Asad Khan, Imdadullah Khan, Murray Patterson:
Effective and scalable clustering of SARS-CoV-2 sequences. - Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi:
Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training. - Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen:
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series. - Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu:
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. - Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson:
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks. - Geoff Boeing, Max Besbris, David Wachsmuth, Jake Wegmann:
Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies. - Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann:
Predicting Dynamic Stability of Power Grids using Graph Neural Networks. - Koray Kavakli, Hakan Urey, Kaan Aksit:
Learned holographic light transport. - Francesco Vicario, Samiya Alkhairy, Roberto Buizza, William A. Truschel:
Two parameter Leak Estimation in Non invasive Ventilation. - Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. - José Manuel Rodríguez Caballero:
Renormalized Wolfram model exhibiting non-relativistic quantum behavior. - Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen:
Temporal Kernel Consistency for Blind Video Super-Resolution. - Greta Laage, Emma Frejinger, Gilles Savard:
A Two-step Heuristic for the Periodic Demand Estimation Problem. - Shanny Lin, Hao Zhu:
Data-driven Modeling for Distribution Grids Under Partial Observability. - Vasil Kolev:
Big Data in Astroinformatics - Compression of Scanned Astronomical Photographic Plates. - Rochisha Agarwal, Soorya Rethinasamy, Kunal Sharma, Mark M. Wilde:
Estimating distinguishability measures on quantum computers. - Xiaoyu Ai, Robert A. Malaney:
Optimised Multithreaded CV-QKD Reconciliation for Global Quantum Networks. - S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan:
Medical Image Segmentation using 3D Convolutional Neural Networks: A Review. - Xia Gong, Yuxiang Zhu, Haidi Zhu, Haoran Wei:
ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition. - Jonathan Zhang, Bowen Xie, Xin Wu, Rahul Ram, David Liang:
Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50. - Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, Xianpei Wang:
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception. - Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. - Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan:
Learned Video Compression with Residual Prediction and Loop Filter. - Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen, Melissa Vos, Guillaume A. Padmos, Wouter Kessels, David Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J. van den Bent, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein:
Reproducible radiomics through automated machine learning validated on twelve clinical applications. - Sagar Dasgupta, Tonmoy Ghosh, Mizanur Rahman:
A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles. - Koji Inui, Yasuyuki Kato, Yukitoshi Motome:
Determinant-free fermionic wave function using feed-forward neural networks. - Sagar Dasgupta, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury:
A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles. - Qi Luo, Viswanath Nagarajan, Alexander Sundt, Yafeng Yin, John Vincent, Mehrdad Shahabi:
Efficient Algorithms for Stochastic Ridepooling Assignment with Mixed Fleets. - Mohammad-Ali Miri:
Integrated Random Projection and Dimensionality Reduction by Propagating Light in Photonic Lattices. - Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra:
On Accelerating Distributed Convex Optimizations. - Mengyu Zhang, Lei Xie, Zhenxing Zhang, Qiaonian Yu, Guanglei Xi, Huangliang Zhang, Fuming Liu, Yarui Zheng, Yicong Zheng, Shengyu Zhang:
Exploiting Different Levels of Parallelism in the Quantum Control Microarchitecture for Superconducting Qubits. - Katy Craig, Nicolás García Trillos, Dejan Slepcev:
Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation. - Aris Papasavvas:
From Real-Time Optimization Techniques to an Autopilot for Steady-State Processes. - Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. - Dai Feng, Richard Baumgartner:
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning. - Praneeth Vepakomma, Yulia Kempner, Ramesh Raskar:
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity. - S. J. Pawan, Rahul Sankar, Amithash M. Prabhudev, P. A. Mahesh, K. Prakashini, Sudha Kiran Das, Jeny Rajan:
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images. - Rui Wang:
Discriminating modelling approaches for Point in Time Economic Scenario Generation. - Haibin Hang, Chad Giusti, Lori Ziegelmeier, Gregory Henselman-Petrusek:
U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology. - Martin Emil Jakobsen, Rajen Dinesh Shah, Peter Bühlmann, Jonas Peters:
Structure Learning for Directed Trees. - Can Bogoclu, Dirk Roos, Tamara Nestorovic:
Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization. - Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Pejman Khadivi, Nader Karimi, Shadrokh Samavi:
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data. - Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - John C. Stevenson:
Agentization of Two Population-Driven Models of Mathematical Biology. - Ruidi Chen, Ioannis Ch. Paschalidis:
Distributionally Robust Learning. - Dileep Kumar, Satya Krishna Joshi, Antti Tölli:
Latency-Constrained Highly-Reliable mmWave Communication via Multi-point Connectivity. - Sayan Mukherjee:
A Grover search-based algorithm for the list coloring problem. - Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Self-supervised learning for joint SAR and multispectral land cover classification. - Gabriel Senno, Antonio Acín:
Semi-device-independent full randomness amplification based on energy bounds. - Patrick Héas, Cédric Herzet:
State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition. - Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha:
Straggler-Robust Distributed Optimization in Parameter-Server Networks. - Qin Shi, Liang Liu, Shuowen Zhang, Shuguang Cui:
Device-Free Sensing in OFDM Cellular Network. - Esmail M. M. Abuhdima, Gurcan Comert, Pierluigi Pisu, Chin-Tser Huang, Ahmed El Qaouaq, Chunheng Zhao, Shakendra Alston, Kirk Ambrose, Jian Liu:
The Effect of Dust and Sand on the 5G Terrestrial Links. - Julian Yarkony, Naveed Haghani, Amelia Regan:
Detour Dual Optimal Inequalities for Column Generation with Application to Routing and Location. - Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu:
Optimal Order Simple Regret for Gaussian Process Bandits. - A. Asensio Ramos, C. J. Díaz Baso, O. Kochukhov:
Approximate Bayesian Neural Doppler Imaging. - Gergo Pintér, Imre Felde:
Analyzing the Behavior of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study. - Ulrich Bauer, Magnus Bakke Botnan, Benedikt Fluhr:
Structure and Interleavings of Relative Interlevel Set Cohomology. - Akash A. Patel, Masoud Safdari:
Smart Adaptive Mesh Refinement with NEMoSys. - Fahimeh Jamshidian-Tehrani, Reza Sameni, Christian Jutten:
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction. - Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban:
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method. - Steven Guan, Ko-Tsung Hsu, Parag V. Chitnis:
Fourier Neural Operator Networks: A Fast and General Solver for the Photoacoustic Wave Equation. - Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li:
L3C-Stereo: Lossless Compression for Stereo Images. - Yair Censor, Keith E. Schubert, Reinhard W. Schulte:
Developments in Mathematical Algorithms and Computational Tools for Proton CT and Particle Therapy Treatment Planning. - Bernd Sturmfels:
Beyond Linear Algebra. - Arwen V. Bradley, Carlos Alberto Gomez-Uribe:
How Can Increased Randomness in Stochastic Gradient Descent Improve Generalization? - Yongxin Chen:
Covariance Steering for Nonlinear Control-affine Systems. - Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev:
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. - Myungseo Song, Jinyoung Choi, Bohyung Han:
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform. - Umar Marikkar, Harshana Weligampola, Rumali Perera, A. S. Jameel Hassan, Suren Sritharan, Gihan Jayatilaka, Roshan Godaliyadda, Vijitha R. Herath, Parakrama Ekanayake, Janaka Ekanayake, Anuruddhika Rathnayake, Samath Dharmaratne:
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions. - R. Reid Bishop, Chelsea C. White III:
Sequential Stochastic Optimization in Separable Learning Environments. - Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen:
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. - Oluwaseun Joseph Aribido, Ghassan AlRegib, Yazeed Alaudah:
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection. - Eshan Joshi, Samuel Somuyiwa, Hossein Z. Jooya:
Graph-Convolutional Deep Learning to Identify Optimized Molecular Configurations. - Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih:
Deep survival analysis with longitudinal X-rays for COVID-19. - Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho:
An Efficient Mini-batch Method via Partial Transportation. - Lorenzo Buffoni, Filippo Caruso:
New Trends in Quantum Machine Learning. - Krishna D. N:
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition. - (Withdrawn) FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy.
- Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
A Transformer Architecture for Stress Detection from ECG. - Olimjoni Pirahmad, Alexandr Polyanskii, Alexey Vasilevskii:
On a Tverberg graph. - Venkatakrishnan Sutharsan, Alagappan Swaminathan, Saisrinivasan Ramachandran, Madan Kumar Lakshmanan, Balaji Mahadevan:
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks. - Onur Kulce, Deniz Mengu, Yair Rivenson, Aydogan Ozcan:
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces. - Mona Zehni, Zhizhen Zhao:
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction. - Yi Li, David P. Woodruff:
The Product of Gaussian Matrices is Close to Gaussian. - Rishal Aggarwal, Akash Gupta, U. Deva Priyakumar:
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design. - Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai:
Efficient Medical Image Segmentation Based on Knowledge Distillation. - Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu:
Learned Image Coding for Machines: A Content-Adaptive Approach. - Stefan Felsner, Torsten Ueckerdt, Kaja Wille:
On the Queue-Number of Partial Orders. - Qing Liu, Longbing Cao:
Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections. - Pieter Kleer, Hans Simon:
Primal and Dual Combinatorial Dimensions. - Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Michael N. Dworzak:
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers. - Adeeb Salh, Lukman Audah, Qazwan Abdullah, Noorsaliza Abdullah, Nor Shahida Mohd Shah, Jameel Mukred, Shipun A. Hamzah:
Development of A Fully Data-Driven Artificial Intelligence and Deep Learning for URLLC Application in 6G Wireless Systems: A Survey. - Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon:
Deep learning for surrogate modelling of 2D mantle convection. - Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies. - Sayan Ghosh, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Valeria Andreoli, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang:
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. - Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva:
Configurable sublinear circuits for quantum state preparation. - Bouchaoui Lahcene, Kamel Eddine Hemsas, Hacene Mellah, Saad Eddine Benlahneche:
Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study. - Fuhu Che, Qasim Zeeshan Ahmed, Faheem Ahmad Khan, Pavlos I. Lazaridis:
Anomaly Detection Based on Generalized Gaussian Distribution approach for Ultra-Wideband (UWB) Indoor Positioning System. - Huy Phan, Alfred Mertins, Mathias Baumert:
Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods. - Ling Chen, Yi Zhang, Sirou Zhu, Shenghuan Miao, Liangying Peng, Rong Hu, Mingqi Lv:
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition. - Gang Guo, Yi Yu, Rodrigo C. de Lamare, Zongsheng Zheng, Lu Lu, Qiangming Cai:
Study of Proximal Normalized Subband Adaptive Algorithm for Acoustic Echo Cancellation. - Ghazaleh Kia, Laura Ruotsalainen:
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks. - Aroutin Khachaturian, Reza Fatemi, Ali Hajimiri:
IQ Photonic Receiver for Coherent Imaging with a Scalable Aperture. - Ziyu Liu, Xiang Zhang:
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks. - Tuyen Trung Truong:
New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation. - Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. - Yue Yu, Purnanand Elango, Ufuk Topcu, Behçet Açikmese:
Proportional-Integral Projected Gradient Method for Conic Optimization. - (Withdrawn) Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control.
- Bolaji Yusuf, Alican Gök, Batuhan Gündogdu, Murat Saraclar:
End-to-End Open Vocabulary Keyword Search. - Frank Cwitkowitz, Mojtaba Heydari, Zhiyao Duan:
Learning Sparse Analytic Filters for Piano Transcription. - Marcelo Forets, Christian Schilling:
Reachability of weakly nonlinear systems using Carleman linearization. - Chinonso Nwankwo, Weizhong Dai:
On the Efficiency of 5(4) RK-Embedded Pairs with High Order Compact Scheme and Robin Boundary Condition for Options Valuation. - Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith:
Adaptive shot allocation for fast convergence in variational quantum algorithms. - Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. - (Withdrawn) Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF).
- Ajit A. Diwan:
Another simple reformulation of the four color theorem. - Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali:
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. - Kianoush Falahkheirkhah, Tao Guo, Michael Hwang, Pheroze Tamboli, Christopher G. Wood, Jose A. Karam, Kanishka Sircar, Rohit Bhargava:
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections. - Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela:
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model. - Jeremy Johnston, Luca Venturino, Emanuele Grossi, Marco Lops, Xiaodong Wang:
MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints. - Andrea Corli, Ulrich Razafison, Massimiliano D. Rosini:
Coherence and flow-maximization of a one-way valve. - Nicolò Decarli, Davide Dardari:
Communication Modes with Large Intelligent Surfaces in the Near Field. - Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh:
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model. - Haiyan Liu, Liheng Bian, Jun Zhang:
Image-free single-pixel segmentation. - Yash Kumar, Souvik Chakraborty:
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations. - Vladimir L. Sokolovsky, Leonid Prigozhin:
Hermite-Chebyshev pseudospectral method for inhomogeneous superconducting strip problems and magnetic flux pump modeling. - Hugo Lhachemi, Ammar Malik, Robert Shorten:
Integral action for setpoint regulation control of a reaction-diffusion equation in the presence of a state delay. - Hugo Lhachemi, Christophe Prieur:
Finite-dimensional observer-based boundary stabilization of reaction-diffusion equations with a either Dirichlet or Neumann boundary measurement. - Bojan Sofronievski, Branislav Gerazov:
Scorpiano - A System for Automatic Music Transcription for Monophonic Piano Music. - Labib Chowdhury, Mustafa Kamal, Najia Hasan, Nabeel Mohammed:
Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space. - Marlin B. Schäfer, Alexander H. Nitz:
From One to Many: A Deep Learning Coincident Gravitational-Wave Search. - Juntae Kim, Jeehye Lee, Yoonhan Lee:
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers. - Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan:
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising. - Marco Linton:
On the intersections of finitely generated subgroups of free groups: reduced rank to full rank. - Shan Zhong, David B. Hitchcock:
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data. - Taotao Zhou, Enrique López Droguett, Ali Mosleh:
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment. - Thomas J. Elliott, Mile Gu, Andrew J. P. Garner, Jayne Thompson:
Quantum adaptive agents with efficient long-term memories. - Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris C. Holmes:
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale. - Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan:
Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T. - Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho:
Entropic Gromov-Wasserstein between Gaussian Distributions. - Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu, Moinuddin K. Qureshi:
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations. - Liyue Shen, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction. - Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. - Zhongyang Li:
Matchings on Random Regular Hypergraphs. - Yilei Chen, Qipeng Liu, Mark Zhandry:
Quantum Algorithms for Variants of Average-Case Lattice Problems via Filtering. - Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. - Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O'Reilly:
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework. - Iasson Karafyllis, Miroslav Krstic:
Spill-Free Transfer and Stabilization of Viscous Liquid. - Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson:
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units. - Liwei Xu, Tao Yin:
On the generalized Calderón formulas for closed- and open-surface elastic scattering problems. - Obada Alia, Rodrigo Stange Tessinari, Emilio Hugues-Salas, George T. Kanellos, Reza Nejabati, Dimitra Simeonidou:
Dynamic DV-QKD Networking in Fully-Meshed Software-Defined Optical Networks. - Karlheinz Gröchenig, Andreas Klotz:
Necessary Density Conditions for Sampling and Interpolation in Spectral Subspaces of Elliptic Differential Operators. - Ina Kodrasi:
Temporal envelope and fine structure cues for dysarthric speech detection using CNNs. - Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier:
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. - Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT). - Frauke Wilm, Katharina Breininger, Marc Aubreville:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. - Gabriel Surina III, Georgios Georgalis, Siddhant S. Aphale, Abani K. Patra, Paul E. DesJardin:
Measurement of Hybrid Rocket Solid Fuel Regression Rate for a Slab Burner using Deep Learning. - Jacob Fox, János Pach, Andrew Suk:
On the number of edges of separated multigraphs. - Alessandro De Luca, Luca Q. Zamboni:
On the extremal values of the cyclic continuants of Motzkin and Straus. - Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. - Benjamin Kap:
The Effect of Noise Level on Causal Identification with Additive Noise Models. - Shibal Ibrahim, Rahul Mazumder, Peter Radchenko, Emanuel Ben-David:
Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions. - Rico Landman, Sebastiaan Y. Haffert, Vikram M. Radhakrishnan, Christoph U. Keller:
Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging. - Anuradha M. Annaswamy, Alexander L. Fradkov:
A Historical Perspective of Adaptive Control and Learning. - Shachaf Poran, Gil Amsalem, Amit Beka, Dmitri Goldenberg:
With One Voice: Composing a Travel Voice Assistant from Re-purposed Models. - Stephen B. Menary, Darren D. Price:
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences. - Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett:
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks. - Mohammad Sarabian, Hessam Babaee, Kaveh Laksari:
Physics-informed neural networks for improving cerebral hemodynamics predictions. - Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. - John Maclean, J. E. Bunder, Ioannis G. Kevrekidis, Anthony J. Roberts:
Adaptively detect and accurately resolve macro-scale shocks in an efficient Equation-Free multiscale simulation. - Praveen Ravirathinam, Darshan Agrawal, J. Jennifer Ranjani:
NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function. - George Stepaniants:
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces. - Fu-An Chao, Jeih-weih Hung, Berlin Chen:
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR. - A. I. Gircha, Aleksey S. Boev, K. Avchaciov, P. O. Fedichev, Aleksey K. Fedorov:
Training a discrete variational autoencoder for generative chemistry and drug design on a quantum annealer. - Chongzhi Wang, Haibin Shao, Dewei Li:
Independent dimensional phase transition on a two-dimensional Kuramoto model with matrix coupling. - Ha Quang Minh:
Estimation of Riemannian distances between covariance operators and Gaussian processes. - Zhuojie Wu, Muyi Sun:
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. - Hideaki Iiduka:
The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size. - Caspar A. S. Pouw, Joris Willems, Frank van Schadewijk, Jasmin Thurau, Federico Toschi, Alessandro Corbetta:
Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control. - Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee, Mehdi Hassan, Woong Kyo Jeong:
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder. - Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem:
Deep learning based dictionary learning and tomographic image reconstruction. - Erik Christensen:
Minimal Stinespring Representations of Operator Valued Multilinear Maps. - A. K. Boahen, Kwabena Doku-Amponsah:
Large Large deviations for spatial telecommunication systems: The boolean model. - Damek Davis, Dmitriy Drusvyatskiy, Liwei Jiang:
Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality. - Anwar Khan, Boreom Lee:
Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes. - Nga Nguyen-Fotiadis, Michael M. McKerns, Andrew Sornborger:
Machine Learning Changes the Rules for Flux Limiters. - Dominic Richards, Edgar Dobriban, Patrick Rebeschini:
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models? - Davide Ferrari, Michele Amoretti:
Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks. - Yihao Hu, Fearghal O'Donncha, Paulito Palmes, Meredith Burke, Ramón Filgueira, Jon Grant:
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales. - (Withdrawn) A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement.
- John C. Stevenson:
Dynamics of Wealth Inequality in Simple Artificial Societies. - Ming Zhong, Jason Miller, Mauro Maggioni:
Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides. - Max Pfeffer, José Alejandro Samper:
The cone of 5×5 completely positive matrices. - Mutlu Demirer, Richard D. White, Vikash Gupta, Ronnie A. Sebro, Barbaros S. Erdal:
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. - Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
SVM Classifier on Chip for Melanoma Detection. - Maximilian Ernst Tschuchnig, Michael Gadermayr:
Anomaly Detection in Medical Imaging - A Mini Review. - Cam Nguyen, Zuhayr Asad, Yuankai Huo:
Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation. - Henry L. Fleischmann, Hongyi B. Hu, Faye Jackson, Steven J. Miller, Eyvindur A. Palsson, Ethan Pesikoff, Charles Wolf:
Distinct Angle Problems and Variants. - Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie:
Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. - Maksim Levental, Ryan Chard, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. - Dihan Dai, Yekaterina Epshteyn, Akil Narayan:
Non-Dissipative and Structure-Preserving Emulators via Spherical Optimization. - Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo:
Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data. - Kai Tanter:
Relational Hypersequent S4 and B are Cut-Free Hypersequent Incomplete. - Sai Li, Tianxi Cai, Rui Duan:
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach. - Shima Sadat Mousavi, Anastasios Kouvelas, Karl Henrik Johansson:
Modal Strong Structural Controllability for Networks with Dynamical Nodes. - Yassine Hamoudi:
Quantum Sub-Gaussian Mean Estimator. - Wenxuan Zou, Muyi Sun:
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation. - Abhishek Chaudhary, Ujjwal Koley:
A convergent finite volume scheme for the stochastic barotropic compressible Euler equations. - Giacomo Albi, Federica Ferrarese, Chiara Segala:
Optimized leaders strategies for crowd evacuation in unknown environments with multiple exits. - Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah:
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations. - Xilin Liu, Andrew G. Richardson:
A System-on-Chip for Closed-loop Optogenetic Sleep Modulation. - Lorne W. Hofstetter, J. Rock Hadley, Robb Merrill, Huy Pham, Gabriel C. Fine, Dennis L. Parker:
MRI-compatible electromagnetic servomotors for image-guided robotic procedures. - Jorma Jormakka, Sourangshu Ghosh:
Calculating Cost Distributions of a Multiservice Loss System. - Martin Gölz, Abdelhak M. Zoubir, Visa Koivunen:
Multiple Hypothesis Testing Framework for Spatial Signals. - Porselvi T, Sai Ganesh CS, Aouthithiye Barathwaj S. R. Y:
Artificial Neural Networks Based Analysis of BLDC Motor Speed Control. - Babak Abdolmaleki, Gilbert Bergna-Diaz:
Distributed Control and Optimization of DC Microgrids: A Port-Hamiltonian Approach. - Joseph Shenouda, Waheed U. Bajwa:
A Guide to Reproducible Research in Signal Processing and Machine Learning. - Joshitha Ravishankar, Mansi Sharma:
A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays. - Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi:
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory. - Thomas Bendokat, Ralf Zimmermann:
The real symplectic Stiefel and Grassmann manifolds: metrics, geodesics and applications. - Sreeram Venkat, Ralph C. Smith, Carl T. Kelley:
Convolutional Autoencoders for Reduced-Order Modeling. - Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig:
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. - Katherine S. Lim, Andrew G. Reidenbach, Bruce K. Hua, Jeremy W. Mason, Christopher J. Gerry, Paul A. Clemons, Connor W. Coley:
Machine learning on DNA-encoded library count data using an uncertainty-aware probabilistic loss function. - Jessica K. Thompson, Ojas Parekh, Kunal Marwaha:
An explicit vector algorithm for high-girth MaxCut. - Mahdi Ghorbani, Samarjeet Prasad, Jeffery B. Klauda, Bernard R. Brooks:
Variational embedding of protein folding simulations using gaussian mixture variational autoencoders. - Manu Goyal, Junyu Guo, Lauren Hinojosa, Keith Hulsey, Ivan Pedrosa:
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging. - Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart:
Convergence Rates for Learning Linear Operators from Noisy Data. - Zane Durante, Leena Mathur, Eric Ye, Sichong Zhao, Tejas Ramdas, Khalil Iskarous:
Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin. - Megumi Nakao, Fei Tong, Mitsuhiro Nakamura, Tetsuya Matsuda:
Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image. - Jin Li, Ye Luo, Xiaowei Zhang:
Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making. - Hong-Bin Chen, Jiaming Xia:
Limiting free energy of multi-layer generalized linear models. - Takuya Ikeda, Kazunori Sakurama, Kenji Kashima:
Multiple sparsity constrained control node scheduling with application to rebalancing of mobility networks. - Kaan Gökcesu, Hakan Gökcesu:
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics. - Michal Matuszewski, Andrzej Opala, R. Mirek, M. Furman, M. Król, K. Tyszka, Timothy C. H. Liew, Dario Ballarini, Daniele Sanvitto, Jacek Szczytko, Barbara Pietka:
Energy-efficient neural network inference with microcavity exciton-polaritons. - Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan:
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging. - Yoshihito Kazashi, Fabio Nobile:
Density estimation in RKHS with application to Korobov spaces in high dimensions. - Pio Ong, Jorge Cortés:
Performance-Barrier-Based Event-Triggered Control with Applications to Network Systems. - Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari:
Robust and Resource-Efficient Quantum Circuit Approximation. - Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry. - Devsi Bantva, Daphne Der-Fen Liu:
Optimal Radio Labellings of Block Graphs and Line Graphs of Trees. - Yeonsik Jo, Se Young Chun, Jonghyun Choi:
Rethinking Deep Image Prior for Denoising. - Debsoumya Chakraborti, Jaehoon Kim, Jinha Kim, Minki Kim, Hong Liu:
Well-mixing vertices and almost expanders. - Subhransu S. Bhattacharjee, Ian R. Petersen:
A Closed Loop Gradient Descent Algorithm applied to Rosenbrock's function. - Ilkka Törmä:
Generically Nilpotent Cellular Automata. - Dániel Nagy, Zsolt Tabi, Péter Hága, Zsófia Kallus, Zoltán Zimborás:
Photonic Quantum Policy Learning in OpenAI Gym. - Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim:
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. - Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. - Takeru Matsuda, Yuto Miyatake:
Generalized nearly isotonic regression. - Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis. - Marco Timpanella, Giovanni Zini:
On a family of linear MRD codes with parameters [8×8, 16, 7]q. - Laurence Aitchison:
A fast point solver for deep nonlinear function approximators. - Samurdhi Karunaratne, Samer S. Hanna, Danijela Cabric:
Open Set RF Fingerprinting using Generative Outlier Augmentation. - Zhenyu Zhao:
Measurement Setup Consideration and Implementation for Inductively Coupled Online Impedance Extraction. - Sota Kato, Kazuhiro Hotta:
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation. - Filippo Masi, Ioannis Stefanou:
Thermodynamics-based Artificial Neural Networks (TANN) for multiscale modeling of materials with inelastic microstructure. - Xianhao Tian, Peijia Zheng, Jiwu Huang:
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video. - Zhexu Xi:
Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models. - Yuanjian Li, A. Hamid Aghvami, Daoyi Dong:
Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay. - Raoul Heese, Patricia Bickert, Astrid Elisa Niederle:
Representation of binary classification trees with binary features by quantum circuits. - Gergely Bunth, Péter Vrana:
Equivariant relative submajorization. - Jacob R. Goodman, Leonardo J. Colombo:
Variational Obstacle Avoidance with Applications to Interpolation Problems in Hybrid Systems. - Faxi Yuan, William Mobley, Hamed Farahmand, Yuanchang Xu, Russell Blessing, Ali Mostafavi, Samuel D. Brody:
Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data. - Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano:
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. - Shivam Mehta, Éva Székely, Jonas Beskow, Gustav Eje Henter:
Neural HMMs are all you need (for high-quality attention-free TTS). - Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. - Abhishek Halder, Kenneth F. Caluya, Pegah Ojaghi, Xinbo Geng:
Stochastic Uncertainty Propagation in Power System Dynamics using Measure-valued Proximal Recursions. - Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor B. Kazantsev, Alexander N. Gorban, Susanna Yu Gordleeva:
Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network. - Mohamed Zagour:
A nonlinear cross-diffusion epidemic with time-dependent SIRD system: Multiscale derivation and computational analysis. - Weikang Li, Dong-Ling Deng:
Recent advances for quantum classifiers. - Xander Faber, Jon Grantham:
On Integers Whose Sum is the Reverse of their Product. - Wei-Chih Huang, Mads Svanborg Peters, Mads Juul Ahlebaek, Mads Toudal Frandsen, René Lynge Eriksen, Bjarke Jørgensen:
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images. - Eric Lybrand, Anna Ma, Rayan Saab:
On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. - Paolo Andrea Erdman, Frank Noé:
Identifying optimal cycles in quantum thermal machines with reinforcement-learning. - Tiago Mendonça Lucena de Veras, Leon D. da Silva, Adenilton J. da Silva:
Double sparse quantum state preparation. - Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich, Fabian-Robert Stöter:
Music Demixing Challenge at ISMIR 2021. - Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, Seungyong Lee:
Iterative Filter Adaptive Network for Single Image Defocus Deblurring. - Shuai Wang, Dachuan Li, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng:
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization. - Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno:
Evaluating the Robustness of Off-Policy Evaluation. - Seiya Tokui, Issei Sato:
Disentanglement Analysis with Partial Information Decomposition. - Hanuman Verma, Saurav Mandal, Akshansh Gupta:
Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India. - Fuxin Fan, Björn W. Kreher, Holger Keil, Andreas Maier, Yixing Huang:
Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. - Anastasia Lavrenko, James K. Cavers, Graeme K. Woodward:
Harmonic Radar with Adaptively Phase-Coherent Auxiliary Transmitters. - Yanni Dong, Maximilien Gadouleau, Pengfei Wan, Shenggui Zhang:
Graphs with minimum degree-based entropy. - Sudarshan Tiwari, Axel Klar, Giovanni Russo:
Modeling and simulations of moving droplet in a Rarefied gas. - Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot:
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. - Mattia Angeli, Georgios Neofotistos, Marios Mattheakis, Efthimios Kaxiras:
Modeling the effect of the vaccination campaign on the Covid-19 pandemic. - Lisa Crosato, Caterina Liberati, Marco Repetto:
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default. - Anthony Frazier, Joethi Silva, Rachel Meilak, Indranil Sahoo, David Chan, Michael Broda:
Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networks. - Gary K. Nave Jr., Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Nirmish Shah, Daniel M. Abrams:
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples. - Kristina Dingel, Thorsten Otto, Lutz Marder, Lars Funke, Arne Held, Sara Savio, Andreas Hans, Gregor Hartmann, David Meier, Jens Viefhaus, Bernhard Sick, Arno Ehresmann, Markus Ilchen, Wolfram Helml:
Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses. - Austin Goddard, Yu Xiang:
A Subsampling-Based Method for Causal Discovery on Discrete Data. - (Withdrawn) OARnet: Automated organs-at-risk delineation in Head and Neck CT images.
- Edmund Jones:
Bayesian learning of forest and tree graphical models. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. - Harold Erbin, Vincent Lahoche, Dine Ousmane Samary:
Nonperturbative renormalization for the neural network-QFT correspondence. - Kaiming Cui, Junjie Liu, Fabo Feng, Jifeng Liu:
Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection. - Yizun Lin, Yuesheng Xu:
Convergence Rate Analysis for Fixed-Point Iterations of Generalized Averaged Nonexpansive Operators. - El Mehdi Achour, François Malgouyres, Franck Mamalet:
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. - Alessandro Soares, Alexandre Street, Tiago Andrade, Joaquim Dias Garcia:
An Integrated Progressive Hedging and Benders Decomposition with Multiple Master Method to Solve the Brazilian Generation Expansion Problem.
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