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ORCIDCoRR, December 2021
- Gautham Venkatasubramanian:
cliquematch: Finding correspondence via cliques in large graphs. - Seyed Mousavi:
Towards algorithm-free physical equilibrium model of computing. - Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Image Manipulation. - Varun Chitturi, Zaid Nabulsi:
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks. - Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. - Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and Provably Monotonic Networks. - Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. - Mostafa Haghi Kashani:
Task Assignment in Distributed Systems based on PSO Approach. - Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. - Seyyed Ali Hashemi, Marco Mondelli, John M. Cioffi, Andrea Goldsmith:
Successive Syndrome-Check Decoding of Polar Codes. - Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. - Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. - Ahmad Biniaz:
Acute Tours in the Plane. - Louise Bloch, Raphael Brüngel, Christoph M. Friedrich:
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. - Garvit Dewan, Louis Jenkins:
Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model. - Samuel Carton, Surya Kanoria, Chenhao Tan:
What to Learn, and How: Toward Effective Learning from Rationales. - Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs. - Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju:
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. - Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf:
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. - Liang S. Lai, Choi-Hong Lai, Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit. - Jay Gopalakrishnan, Lukas Kogler, Philip L. Lederer, Joachim Schöberl:
Minimal order H(div)-conforming velocity-vorticity approximations for incompressible fluids. - Steve Mann, Cayden Pierce, Christopher Tong, Christina Mann:
"Vironment": An Art of Wearable Social Distancing. - Chris McDonagh, Xi Chen:
Leveraging Intrinsic Gradient Information for Machine Learning Model Training. - Jonathan W. Berry, Cynthia A. Phillips, Alexandra M. Porter:
Connected Components for Infinite Graph Streams: Theory and Practice. - Savannah Norem, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, Brian Weber:
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Fast Topological Clustering with Wasserstein Distance. - Christine Geeng, Alexis Hiniker:
LGBTQ Privacy Concerns on Social Media. - Shubhaankar Gupta, Thomas P. O'Connell, Bernhard Egger:
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias. - Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena:
Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San
, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. - Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis:
A Review on Parallel Virtual Screening Softwares for High Performance Computers. - Gian Singh, Ankit Wagle, Sarma B. K. Vrudhula, Sunil P. Khatri:
CIDAN: Computing in DRAM with Artificial Neurons. - Shamiul Alam, Md. Mazharul Islam, Md. Shafayat Hossain, Akhilesh Jaiswal, Ahmedullah Aziz:
CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect. - Petr Plechác, Gabriel Stoltz, Ting Wang:
Martingale product estimators for sensitivity analysis in computational statistical physics. - Mrinmoy Roy, Venkata Devesh Reddy Seethi, Pratool Bharti:
CovidAlert - A Wristwatch-based System to Alert Users from Face Touching. - Yuxin Chen, Benjamin Brock, Serban D. Porumbescu, Aydin Buluç, Katherine A. Yelick, John D. Owens:
Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations. - Yichi Zhang, Zhiru Zhang, Lukasz Lew:
PokeBNN: A Binary Pursuit of Lightweight Accuracy. - Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida, Erich Morman:
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning. - Corne Lukken, Giulia Frascaria, Animesh Trivedi:
ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs. - Farimasadat Miri, Richard W. Pazzi:
A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing. - Ali Esmaeily, Katina Kralevska, Toktam Mahmoodi:
Slicing Scheduling for Supporting Critical Traffic in Beyond 5G. - Philipp Kopp, Victor M. Calo, Ernst Rank, Stefan Kollmannsberger:
Space-time hp finite elements for heat evolution in laser-based additive manufacturing. - Michael Färber, Anna Steyer:
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. - Enrica Rossi, Marco Tognon, Luca Ballotta, Ruggero Carli, Juan Cortés, Antonio Franchi, Luca Schenato:
Coordinated Multi-Robot Trajectory Tracking over Sampled Communication. - Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer:
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. - Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. - Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li:
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. - Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis:
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. - Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie:
Improving Differentiable Architecture Search with a Generative Model. - Julius Kunze, James Townsend, David Barber:
Adaptive Optimization with Examplewise Gradients. - Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu:
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing. - Qiushi Bai, Sadeem Alsudais, Chen Li, Shuang Zhao:
Maliva: Using Machine Learning to Rewrite Visualization Queries Under Time Constraints. - Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb:
Light Field Implicit Representation for Flexible Resolution Reconstruction. - Weiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva, Andrew Irlitti, Jarrod Knibbe, Tilman Dingler, Jorge Gonçalves, Vassilis Kostakos:
InfoPrint: Embedding Information into 3D Printed Objects. - Zoe Moorton, Zeyneb Kurt, Wai Lok Woo:
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife? - Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta:
Public Data-Assisted Mirror Descent for Private Model Training. - Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy:
Efficient Online Bayesian Inference for Neural Bandits. - Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis:
Efficient Big Text Data Clustering Algorithms using Hadoop and Spark. - Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer:
3DVNet: Multi-View Depth Prediction and Volumetric Refinement. - Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. - Loc Hoang Tran, Tuan Tran, An Mai:
Improved sparse PCA method for face and image recognition. - Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeia. - Zhijian Yang, Xiaoran Fan, Volkan Isler, Hyunsoo Park:
PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound. - Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao:
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles. - Taotao Zhou, Xiaoge Zhang, Enrique López Droguett, Ali Mosleh:
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. - Mostafa Rezapour, Lucas Hansen:
A Machine Learning Analysis of COVID-19 Mental Health Data. - William F. Godoy, Andrei T. Savici, Steven E. Hahn, Peter F. Peterson:
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities. - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig:
Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient. - Kaihao Zhang, Wenhan Luo, Boheng Chen, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model. - Noah Stier, Alexander Rich, Pradeep Sen, Tobias Höllerer:
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion. - Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? - Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. - Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. - Gouhei Tanaka, Ryosho Nakane:
Simulation platform for pattern recognition based on reservoir computing with memristor networks. - Hongmin Gao, Zhonghao Chen, Chenming Li:
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. - Pan Li, Shaogang Gong, Yanwei Fu, Chengjie Wang:
Ranking Distance Calibration for Cross-Domain Few-Shot Learning. - Kathy Nguyen, Shantanu Pal, Zahra Jadidi, Ali Dorri, Raja Jurdak:
A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS. - Liyuan Ma, Kejie Huang, Dongxu Wei, Haibin Shen:
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation. - Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Training BatchNorm Only in Neural Architecture Search and Beyond. - Yi Huang, Zhiyu Chen, Dai Li, Kaiyuan Yang:
CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories. - Yiguang Zhang, Augustin Chaintreau:
Unequal Opportunities in Multi-hop Referral Programs. - Vamsi K. Amalladinne, Jamison R. Ebert, Jean-François Chamberland, Krishna R. Narayanan:
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access. - Sourabha Bharadwaj, Karunakar Gonabattula, Sudipta Saha, Chayan Sarkar, Rekha Raja:
Concurrent Transmission for Multi-Robot Coordination. - Jay Gala, Pengtao Xie:
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. - Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. - Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis:
A Barrier Pair Method for Safe Human-Robot Shared Autonomy. - Liyuan Ma, Kejie Huang, Dongxu Wei, Zhaoyan Ming, Haibin Shen:
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer. - Anmol Nayak, Hariprasad Timmapathini:
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition. - Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu:
Interactive Model with Structural Loss for Language-based Abductive Reasoning. - Masato Takeichi:
Conflict-free Collaborative Set Sharing for Distributed Systems. - Masato Takeichi:
Operation-based Collaborative Data Sharing for Distributed Systems. - Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. - Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan, Yoonju Jung:
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics. - Abhisesh Silwal, Francisco Yandún, Anjana K. Nellithimaru, Terry Bates, George Kantor:
Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning. - Fucheng Tian, Jun Zeng, Mengnan Zhang, Liangbin Li:
Mixed displacement-pressure-phase field framework for finite strain fracture of nearly incompressible hyperelastic materials. - Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu:
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation. - Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. - Jiaqi Xu, Yuanwei Liu, Xidong Mu, Robert Schober, H. Vincent Poor:
STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies. - Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan:
Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool. - Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. - Mahmudul Hasan, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque:
Software Variants for Hardware Trojan Detection and Resilience in COTS Processors. - Zhichun Huang, Rudrasis Chakraborty, Vikas Singh:
Forward Operator Estimation in Generative Models with Kernel Transfer Operators. - Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li:
Experimental Validation of Multi-lane Formation Control for Connected and Automated Vehicles in Multiple Scenarios. - Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao:
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. - Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. - Siu-Wing Cheng:
Multistage Online Maxmin Allocation of Indivisible Entities. - Danila Rukhovich, Anna Vorontsova, Anton Konushin:
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection. - Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen:
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. - Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-memory Deep Learning with Emerging Memory Technology. - Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim, Seungwoo Jang, Kwangsu Kim:
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea. - Haochuan Song, Xiaohu You, Chuan Zhang, Christoph Studer:
Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding. - Ruiyang Liu, Predrag K. Nikolic:
Mutltimodal AI Companion for Interactive Fairytale Co-creation. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model. - Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. - Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei:
Multi-View Stereo with Transformer. - Jihyo Kim, Jiin Koo, Sangheum Hwang:
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks. - Yichun Shen, Wanli Jiang, Zhen Xu, Rundong Li, Junghyun Kwon, Siyi Li:
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors. - Seong Hyun Kim, Sunwon Jeong, Sungbum Park, Ju Yong Chang:
Camera Motion Agnostic 3D Human Pose Estimation. - Han Liu, Pedro Antonino, Zhiqiang Yang, Chao Liu, A. W. Roscoe:
Trusted And Confidential Program Analysis. - Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann:
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. - Eimantas Ledinauskas, Julius Ruseckas, Julius Marozas, Kasparas Karlauskas, Justas Terentjevas, Augustas Macijauskas, Alfonsas Jursenas:
Automatic travel pattern extraction from visa page stamps using CNN models. - I-Fan Chen, Brian King, Jasha Droppo:
Investigation of Training Label Error Impact on RNN-T. - Jan Engelhardt, Jan Martin Zepter, Jesper Gejl Lage, Tatiana Gabderakhmanova, Mattia Marinelli:
Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging. - Masahiro Suzuki:
Score Transformer: Generating Musical Score from Note-level Representation. - Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Tool as Embodiment for Recursive Manipulation. - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma:
Dimensionality Reduction for Categorical Data. - Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman:
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference. - Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. - Johannes Pankert, Maria Vittoria Minniti, Lorenz Wellhausen, Marco Hutter:
Deep Measurement Updates for Bayes Filters. - Jörg Schröder, Mohammad Sarhil, Lisa Scheunemann, Patrizio Neff:
Lagrange and H(curl, B) based Finite Element formulations for the relaxed micromorphic model. - Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi:
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. - Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval:
Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. - Siyuan Niu, Aida Todri-Sanial:
How Parallel Circuit Execution Can Be Useful for NISQ Computing? - Tomer Amit, Eliya Nachmani, Tal Shaharabany, Lior Wolf:
SegDiff: Image Segmentation with Diffusion Probabilistic Models. - Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou:
Wiretap Secret Key Agreement Via Secure Omniscience. - Manav Agarwal, Shreya Venugopal, Rishab Kashyap, R. Bharathi:
A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success. - Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua:
Dyadic Human Motion Prediction. - Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo:
Effective and efficient structure learning with pruning and model averaging strategies. - John Preuß Mattsson, Ben Smeets, Erik Thormarker:
Quantum-Resistant Cryptography. - David Schaller, Marc Hellmuth, Peter F. Stadler:
Orientation of Fitch Graphs and Detection of Horizontal Gene Transfer in Gene Trees. - Zihan Liu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung:
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging. - Ha Min Son, Moon Hyun Kim, Tai-Myoung Chung:
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data. - Maike Buchin, Anne Driemel, Koen van Greevenbroek, Ioannis Psarros, Dennis Rohde:
Approximating Length-Restricted Means under Dynamic Time Warping. - Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. - Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. - Zhijian He, Shifeng Huo, Tianhui Yang:
An adaptive mixture-population Monte Carlo method for likelihood-free inference. - Alberto Castagna, Ivana Dusparic:
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems. - Dimitrios Koutsoukos, Raghav Bhartia, Ana Klimovic, Gustavo Alonso:
How to use Persistent Memory in your Database. - Kun Xiao, Guohui Wang, Yi Chen, Yongfeng Xie, Hong Li:
Research on Event Accumulator Settings for Event-Based SLAM. - Tianyue Zheng, Zhe Chen, Shuya Ding, Chao Cai, Jun Luo:
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation. - Giuseppe D'Alconzo, Alessio Meneghetti, Paolo Piasenti:
Security issues of CFS-like digital signature algorithms. - Mattia Soldan, Alejandro Pardo, Juan León Alcázar, Fabian Caba Heilbron, Chen Zhao, Silvio Giancola, Bernard Ghanem:
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions. - Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
A benchmark with decomposed distribution shifts for 360 monocular depth estimation. - Sanjana Tule, Nhi Ha Lan Le, Buser Say:
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming. - Mohammad Hammas Saeed, Shiza Ali, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit. - Rutika Moharir, Arun D. Prabhu, Sukumar Moharana, Gopi Ramena, Rachit S. Munjal:
On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification. - Chuan-Chi Lai, Yu-De Lin, Chuan-Ming Liu:
Frequent-Pattern Based Broadcast Scheduling for Conflict Avoidance in Multi-Channel Data Dissemination Systems. - Norbert J. Mauser, Carl-Martin Pfeiler, Dirk Praetorius, Michele Ruggeri:
Unconditional well-posedness and IMEX improvement of a family of predictor-corrector methods in micromagnetics. - Herman J. Haverkort, Rolf Klein:
Hyperbolae are the locus of constant angle difference. - Zhengjuan Tian, Rui Chen, Wen-Xuan Long, Hong Zhou, Marco Moretti:
Broadband beam steering for misaligned multi-mode OAM communication systems. - Roy Miles, Adrián López Rodríguez, Krystian Mikolajczyk:
Information Theoretic Representation Distillation. - Muhammad Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof:
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization. - César Piñeiro, Juan Carlos Pichel:
A unified framework to improve the interoperability between HPC and Big Data languages and programming models. - Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, Yudhanjaya Wijeratne:
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts. - Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao:
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture. - Wei Wang, Junyu Gao, Changsheng Xu:
Weakly-Supervised Video Object Grounding via Causal Intervention. - Qi Xuan, Zeyu Wang, Jinhuan Wang, Yalu Shan:
Data Augmentation Based on Null Model for Graph Classification. - Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson:
On the Practical Consistency of Meta-Reinforcement Learning Algorithms. - Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin:
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. - Chao Zeng, Sam Kwong:
Learning Transformer Features for Image Quality Assessment. - Andrea Munari, Francisco Lázaro, Giuseppe Durisi, Gianluigi Liva:
An Age of Information Characterization of Frameless ALOHA. - Mert Kilickaya, Arnold W. M. Smeulders:
Human-Object Interaction Detection via Weak Supervision. - Oskar Skibski:
Closeness Centrality via the Condorcet Principle. - Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang:
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective. - Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. - Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. - Yanjie Wang, Xu Zou, Zhijun Zhang, Wenhui Xu, Liqun Chen, Sheng Zhong, Luxin Yan, Guodong Wang:
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing. - Weizhu Bao, Wei Jiang, Yifei Li:
A symmetrized parametric finite element method for anisotropic surface diffusion of closed curves via a Cahn-Hoffman ξ-vector formulation. - Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. - David Nunez, Francesc Wilhelmi, Stefano Avallone, Malcolm Smith, Boris Bellalta:
TXOP sharing with Coordinated Spatial Reuse in Multi-AP Cooperative IEEE 802.11be WLANs. - Reza Lavaei, Leila Jasmine Bridgeman:
Simultaneous Controller and Lyapunov Function Design for Constrained Nonlinear Systems. - Vladimir Shenmaier:
On the Complexity of the Geometric Median Problem with Outliers. - Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng:
Subtask-dominated Transfer Learning for Long-tail Person Search. - Marc-Antoine Beaudoin, Benoit Boulet:
Improving gearshift controllers for electric vehicles with reinforcement learning. - Nicolas Olivier, Kelian Baert, Fabien Danieau, Franck Multon, Quentin Avril:
FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks. - Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar:
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis. - Peter A. Gloor, Matthäus Paul Zylka, Andrea Fronzetti Colladon, Márton Makai:
'Entanglement' - A new dynamic metric to measure team flow. - Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. - Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel:
SaDe: Learning Models that Provably Satisfy Domain Constraints. - Camille Roth, Jonathan St-Onge, Katrin Herms:
Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter. - Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon:
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery. - Rui Wang:
3D Reconstruction Using a Linear Laser Scanner and a Camera. - Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong:
Attribute Artifacts Removal for Geometry-based Point Cloud Compression. - Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis:
NLP Research and Resources at DaSciM, Ecole Polytechnique. - Arda Akdemir, Yeojoo Jeon:
DPRK-BERT: The Supreme Language Model. - Hangtong Wu, Dan Zeng, Yibo Hu, Hailin Shi, Tao Mei:
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning. - Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez:
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Linus Boes, Rachael Colley, Umberto Grandi, Jérôme Lang, Arianna Novaro:
Collective discrete optimisation as judgment aggregation. - Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau:
Systematic Generalization with Edge Transformers. - Avinandan Bose, Pradeep Varakantham:
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling. - Pingyu Wu, Wei Zhai, Yang Cao:
Background Activation Suppression for Weakly Supervised Object Localization. - Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H. Elder, Huchuan Lu:
Transformer-based Network for RGB-D Saliency Detection. - Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal:
Meta Arcade: A Configurable Environment Suite for Meta-Learning. - Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. - Foivos Paraperas Papantoniou, Panagiotis Paraskevas Filntisis, Petros Maragos, Anastasios Roussos:
Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos. - Md. Nazmul Kabir Sikder, Feras A. Batarseh:
Outlier Detection using AI: A Survey. - Félix Grèzes, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Golnaz Shapurian, Edwin A. Henneken, Carolyn S. Grant, Donna M. Thompson, Roman Chyla, Stephen McDonald, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Nemanja Martinovic, Shinyi Chen, Chris Tanner, Pavlos Protopapas:
Building astroBERT, a language model for Astronomy & Astrophysics. - Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh:
AI Assurance using Causal Inference: Application to Public Policy. - Unnikrishnan Kunnath Ganesan, Rimalapudi Sarvendranath, Erik G. Larsson:
BeamSync: Over-The-Air Carrier Synchronization in Distributed RadioWeaves. - Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz:
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. - Arnau Martí-Sarri, Víctor Rodríguez-Fernández:
An implementation of the "Guess who?" game using CLIP. - Imtiaz Ahmed, Satish T. S. Bukkapatnam, Bhaskar Botcha, Yu Ding:
Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy. - Magnús M. Halldórsson, Fabian Kuhn, Alexandre Nolin, Tigran Tonoyan:
Near-Optimal Distributed Degree+1 Coloring. - Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf:
Roadmap for Edge AI: A Dagstuhl Perspective. - José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan:
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness. - Gabriel Ammes, Walter Lau Neto, Paulo F. Butzen, Pierre-Emmanuel Gaillardon, Renato P. Ribas:
A Two-Level Approximate Logic Synthesis Combining Cube Insertion and Removal. - Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. - Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer:
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes. - Laurent Feuilloley, Michel Habib:
Classifying grounded intersection graphs via ordered forbidden patterns. - Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis:
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks. - Nathan Drenkow, Numair Sani, Ilya Shpitser, Mathias Unberath:
Robustness in Deep Learning for Computer Vision: Mind the gap? - Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang:
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. - Yu-Chin Chan, Daicong Da, Liwei Wang, Wei Chen:
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending. - Claire Palmer, Ben Roullier, Muhammed Aamir, Frank McQuade, Leonardo Stella, Ashiq Anjum:
Digital Twinning Remote Laboratories for Online Practical Learning. - Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor:
Variational Learning for Unsupervised Knowledge Grounded Dialogs. - Saideep Tiku, Sudeep Pasricha:
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. - Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos:
Efficient and Local Parallel Random Walks. - Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Object-aware Video-language Pre-training for Retrieval. - Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. - Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek:
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. - Baxi Chong, Yasemin Ozkan Aydin, Jennifer M. Rieser, Guillaume Sartoretti, Tianyu Wang, Julian Whitman, Abdul Kaba, Enes Aydin, Ciera McFarland, Howie Choset, Daniel I. Goldman:
A general locomotion control framework for serially connected multi-legged robots. - Junyan Cheng, Iordanis Fostiropoulos, Barry W. Boehm:
Graph Conditioned Sparse-Attention for Improved Source Code Understanding. - Leonardo de Melo Joao, Alexandre Xavier Falcão:
Saliency Enhancement using Superpixel Similarity. - Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Ian Welch, Harith Al-Sahaf, Seyit Camtepe:
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification. - Oded Goldreich, Avi Wigderson:
Robustly Self-Ordered Graphs: Constructions and Applications to Property Testing. - Laura A. M. D'Angelo, Yvonne Späck-Leigsnering, Herbert De Gersem:
Quasi-3D Magneto-Thermal Quench Simulation Scheme for Superconducting Accelerator Magnets. - Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning. - Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. - Xiaoxiao Sun, Yunzhong Hou, Hongdong Li, Liang Zheng:
Label-Free Model Evaluation with Semi-Structured Dataset Representations. - Priyank Kalgaonkar, Mohamed El-Sharkawy:
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems. - Eliane Maria De Bortoli Fávero, Dalcimar Casanova:
BERT_SE: A Pre-trained Language Representation Model for Software Engineering. - Hao Hao Tan:
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles. - Jerry Li, Allen Liu:
Clustering Mixtures with Almost Optimal Separation in Polynomial Time. - Wei Ren, Eleftherios E. Vlahakis, Nikolaos Athanasopoulos, Raphaël M. Jungers:
Optimal Resource Scheduling and Allocation in Distributed Computing Systems. - Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI. - Wouter Zorgdrager, Kyriakos Psarakis, Marios Fragkoulis, Eelco Visser, Asterios Katsifodimos:
Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows. - Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur:
STEM: Unsupervised STructural EMbedding for Stance Detection. - Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. - Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou:
Improving GAN Equilibrium by Raising Spatial Awareness. - Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua:
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. - Jan van den Brand, Yu Gao, Arun Jambulapati, Yin Tat Lee, Yang P. Liu, Richard Peng, Aaron Sidford:
Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers. - Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. - Yuki M. Asano, Aaqib Saeed:
Extrapolating from a Single Image to a Thousand Classes using Distillation. - Anh-Quan Cao, Raoul de Charette:
MonoScene: Monocular 3D Semantic Scene Completion. - Daisuke Iwai:
Is Projection Mapping Natural? Towards Physical World Augmentation Consistent with Light Field Context. - Hongyi Yuan, Sheng Yu:
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification. - Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin:
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. - Haotong Qin:
Hardware-friendly Deep Learning by Network Quantization and Binarization. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
Incomplete Multi-view Clustering via Cross-view Relation Transfer. - Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi:
Collaborative AI Needs Stronger Assurances Driven by Risks. - Matthew Katsaros, Kathy Yang, Lauren Fratamico:
Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Content. - Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. - Marisa Hudspeth, Sogol Balali, Cindy Grimm, Ross T. Sowell:
Effects of Interfaces on Human-Robot Trust: Specifying and Visualizing Physical Zones. - Peyman Morteza, Yixuan Li:
Provable Guarantees for Understanding Out-of-distribution Detection. - Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman:
Controlling Conditional Language Models with Distributional Policy Gradients. - Robert Andrews, Michael A. Forbes:
Ideals, Determinants, and Straightening: Proving and Using Lower Bounds for Polynomial Ideals. - Liam Burrows, Ke Chen, Francesco Torella:
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms. - Abimbola Helen Afolayan, Bolanle Adefowoke Ojokoh, Adebayo Olusola Adetunmbi:
A Feedback Integrated Web-Based Multi-Criteria Group Decision Support Model for Contractor Selection using Fuzzy Analytic Hierarchy Process. - Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer:
Fast Sparse Decision Tree Optimization via Reference Ensembles. - Jaime Sevilla:
Finding, Scoring and Explaining Arguments in Bayesian Networks. - Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Chahat Raj, Priyanka Meel:
A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks. - Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik:
PreViTS: Contrastive Pretraining with Video Tracking Supervision. - Subhajit Dutta Chowdhury, Kaixin Yang, Pierluigi Nuzzo:
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering. - William B. Langdon:
Evolving Open Complexity. - Kate Donahue, Jon M. Kleinberg:
Models of fairness in federated learning. - Teyun Kwon, Anandha Gopalan:
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning. - Boitumelo Ruf, Martin Weinmann, Stefan Hinz:
FaSS-MVS - Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery. - Samuel H. Rudy, Themistoklis P. Sapsis:
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events. - Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts:
Inducing Causal Structure for Interpretable Neural Networks. - Avinandan Bose, Soumendu Sundar Mukherjee:
Changepoint Analysis of Topic Proportions in Temporal Text Data. - Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
The Price of Differential Privacy under Continual Observation. - Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar, Amarnath Gupta:
Processing Analytical Queries in the AWESOME Polystore [Information Systems Architectures]. - Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello:
Robust Online Selection with Uncertain Offer Acceptance. - Junyi Zhu, Matthew B. Blaschko:
Differentially Private SGD with Sparse Gradients. - Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari:
CLAWS: Contrastive Learning with hard Attention and Weak Supervision. - Sébastien Ferré:
First Steps of an Approach to the ARC Challenge based on Descriptive Grid Models and the Minimum Description Length Principle. - Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin:
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition. - Faheem Ullah, Muhammad Ali Babar:
On the Scalability of Big Data Cyber Security Analytics Systems. - Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? - Haiwen Huang, Joost van Amersfoort, Yarin Gal:
Decomposing Representations for Deterministic Uncertainty Estimation. - Vinícius Albernaz Lacerda, Eduardo Prieto-Araujo, Marc Cheah-Mañe, Oriol Gomis-Bellmunt:
Phasor Modelling Approaches and Simulation Guidelines of Voltage-Source Converters in Grid-Integration Studies. - Christoph Frädrich, Florian Obermüller, Nina Körber, Ute Heuer, Gordon Fraser:
Common Bugs in Scratch Programs. - Michael Färber, Alexander Klein:
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. - Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Robust Resource-Aware Self-triggered Model Predictive Control. - Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Benjamin Mann, Nova DasSarma, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom B. Brown, Jack Clark, Sam McCandlish, Chris Olah, Jared Kaplan:
A General Language Assistant as a Laboratory for Alignment. - Lluc Figueras Llerins, Vinícius Albernaz Lacerda, Adrien Guironnet, Quentin Cossart, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
Modelling and Simulation of Power Systems with Grid-Connected Converters in OpenModelica. - Sasan Mohyaddin, Johannes Tausch:
A fast method for evaluating Volume potentials in the Galerkin boundary element method. - Vinícius Albernaz Lacerda, Jaume Girona-Badia, Stephan Kusche, Florian Pöschke, Eduardo Prieto-Araujo, Horst Schulte, Oriol Gomis-Bellmunt:
Modelling Approaches of Power Systems Considering Grid-Connected Converters and Renewable Generation Dynamics. - Carlos Collados-Rodríguez, Eduard Antolí-Gil, Enric Sánchez-Sánchez, Jaume Girona-Badia, Vinícius Albernaz Lacerda, Marc Cheah-Mañe, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
Definition of scenarios for modern power systems with a high renewable energy share. - Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai:
Neural Stochastic Dual Dynamic Programming. - Shyama Kumari Arunachalam, Roopa V, Meena H. B, Vijayalakshmi, T. Malavika:
Secure and Safety Mobile Network System for Visually Impaired People. - Rahul Dey, Vishnu Naresh Boddeti:
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. - Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. - André Flores, Rodrigo C. de Lamare, Kumar Vijay Mishra:
Rate-Splitting Meets Cell-Free MIMO Communications. - Archana Bura, Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland:
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees. - Tobias Glasmachers:
The (1+1)-ES Reliably Overcomes Saddle Points. - Brian Barr, Matthew R. Harrington, Samuel Sharpe, C. Bayan Bruss:
Counterfactual Explanations via Latent Space Projection and Interpolation. - Matthew Dutson, Mohit Gupta:
Event Neural Networks. - Bo-Ying Su, Shang-Ling Hsu, Kuan-Yin Lai, Jane Yung-jen Hsu:
Context-Dependent Semantic Parsing for Temporal Relation Extraction. - Yongzhao Wang, Michael P. Wellman:
Empirical Game-Theoretic Analysis in Mean Field Games. - Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. - Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum:
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics. - Zhiyuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang:
CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation. - Chenwu Zhang, Hancheng Lu, Jinxue Liu:
IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems with Complex Valued Neural Networks. - Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. - Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. - Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu:
Context-Aware Online Client Selection for Hierarchical Federated Learning. - Mingjian Tuo, Xingpeng Li:
Long-Term Recurrent Convolutional Network-based Inertia Estimation using Ambient Measurements. - Paul S. Oh, Sean Soek-Chul Kwon, Andreas F. Molisch:
Antenna Selection in Polarization Reconfigurable MIMO (PR-MIMO) Communication Systems. - Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Multi-fidelity methods for uncertainty propagation in kinetic equations. - Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. - Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas:
Reward-Free Attacks in Multi-Agent Reinforcement Learning. - Laurent Valentin Jospin, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching. - Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. - Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. - Chao Zhang, Zhijian Li, Hui Qian, Xin Du:
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. - Xin Tang, Yongquan Lai, Ying Liu, Yuanyuan Fu, Rui Fang:
Visual-Semantic Transformer for Scene Text Recognition. - David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Quantile Filtered Imitation Learning. - Xiaoyan Liu, Zhiwei Xu, Yana Qin, Jie Tian:
A Discrete-event-based Simulator for Deep Learning at Edge. - Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani:
Maximum Consensus by Weighted Influences of Monotone Boolean Functions. - Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu:
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency. - Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. - Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali:
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. - Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, Sameh Khamis:
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting. - Majid Jaberi Douraki, Soudabeh Taghian Dinani, Nuwan Indika Millagaha Gedara, Xuan Xu, Emily Richards, Fiona Maunsell, Nader Zad, Lisa Ann Tell:
Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians. - Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong:
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis. - Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray:
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. - Bei Tong, Xiaoyuan Yu:
Vision Pair Learning: An Efficient Training Framework for Image Classification. - Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. - Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim:
Object-Centric Unsupervised Image Captioning. - Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao:
Narrative Cartography with Knowledge Graphs. - Shashi Suman, François Rivest, Ali Etemad:
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. - Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. - Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang:
Consensus Graph Representation Learning for Better Grounded Image Captioning. - Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. - Naveen Durvasula, Franklyn Wang, Scott Duke Kominers:
Recommending with Recommendations. - Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang:
Trap of Feature Diversity in the Learning of MLPs. - Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Evaluation of mathematical questioning strategies using data collected through weak supervision. - Xiaowu Dai, Yuhua Zhu:
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective. - Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Cong Thanh Nguyen, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha, Eryk Dutkiewicz:
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks. - Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu:
Embedding Decomposition for Artifacts Removal in EEG Signals. - Liting Lin, Heng Fan, Yong Xu, Haibin Ling:
SwinTrack: A Simple and Strong Baseline for Transformer Tracking. - Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin:
Contrastive Cross-domain Recommendation in Matching. - Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov:
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. - Sai Vikneshwar Mani Jayaraman, Corey Ropell, Atri Rudra:
Worst-case Optimal Binary Join Algorithms under General 𝓁p Constraints. - Quan Quan, Yan Gao, Chenggang Bai:
Distributed Control for a Robotic Swarm to Pass through a Curve Virtual Tube. - Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. - Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. - Biyang Liu, Huimin Yu, Yangqi Long:
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks. - Ying-Hong Chan, Ho-Lam Chung, Yao-Chung Fan:
Improving Controllability of Educational Question Generation by Keyword Provision. - Giovanni Barbarino, Davide Bianchi, Carlo Garoni:
Constructive approach to the monotone rearrangement of functions. - Helen Jiang, Erwen Senge:
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System. - Lin Nie, Lingbo Liu, Zhengtao Wu, Wenxiong Kang:
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark. - Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi:
Learning Optimal Predictive Checklists. - Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. - Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song:
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning. - Bo Yan, Leilei Cao, Hongbin Wang:
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing. - Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. - Weibin Li, Mingkai He, Zhengjie Huang, Xianming Wang, Shikun Feng, Weiyue Su, Yu Sun:
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems. - Xingzhe He, Bastian Wandt, Helge Rhodin:
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. - Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. - Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato:
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. - Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
EngineKGI: Closed-Loop Knowledge Graph Inference. - Junho Kim, Jaehyeok Bae, Gangin Park, Young Min Kim:
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras. - Tianyi Zhang:
Gomory-Hu Trees in Quadratic Time. - Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. - Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. - Wanli Li, Tieyun Qian:
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim:
Bayesian Optimization over Permutation Spaces. - Adi Mesika, Yizhak Ben-Shabat, Ayellet Tal:
CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis. - Ipsita Mohanty, Ankit Goyal, Alex Dotterweich:
Emotions are Subtle: Learning Sentiment Based Text Representations Using Contrastive Learning. - Andrea Marin, Isi Mitrani:
A Foreground-Background queueing model with speed or capacity modulation. - Fengliang Qi, Bo Yan, Leilei Cao, Hongbin Wang:
Stronger Baseline for Person Re-Identification. - Abdorasoul Ghasemi, Holger Kantz:
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks. - Yitian Yuan, Lin Ma, Wenwu Zhu:
Syntax Customized Video Captioning by Imitating Exemplar Sentences. - Jesper Muren, Vilhelm Niklasson, Dmitry Otryakhin, Maxim Romashin:
Fast automatic deforestation detectors and their extensions for other spatial objects. - Zhili Wang, Shimin Di, Lei Chen:
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. - Quentin De Coninck:
The Packet Number Space Debate in Multipath QUIC. - Chong Zhou, Chen Change Loy, Bo Dai:
DenseCLIP: Extract Free Dense Labels from CLIP. - Bo Yan, Fengliang Qi, Leilei Cao, Hongbin Wang:
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge. - Yitian Yuan, Lin Ma, Jingwen Wang, Wenwu Zhu:
Controllable Video Captioning with an Exemplar Sentence. - Norman A. Rink, Adam Paszke, Dimitrios Vytiniotis, Georg Stefan Schmid:
Memory-efficient array redistribution through portable collective communication. - Sihan Mao, Jinchi Chen:
Blind Super-resolution of Point Sources via Projected Gradient Descent. - Zeyang Liu, Lipeng Wan, Xue Sui, Kewu Sun, Xuguang Lan:
Multi-Agent Intention Sharing via Leader-Follower Forest. - Shudong Yang:
Who will dropout from university? Academic risk prediction based on interpretable machine learning. - Daniil Baldouski, Aleksandar Tosic:
Grafana plugin for visualising vote based consensus mechanisms, and network P2P overlay networks. - Ziao Yang, Xiangrui Yang, Qifeng Lin:
TCTN: A 3D-Temporal Convolutional Transformer Network for Spatiotemporal Predictive Learning. - Felix Staudigl, Hazem Al Indari, Daniel Schön, Dominik Sisejkovic, Farhad Merchant, Jan Moritz Joseph, Vikas Rana, Stephan Menzel, Rainer Leupers:
NeuroHammer: Inducing Bit-Flips in Memristive Crossbar Memories. - Guillaume Perez, Sebastian Ament, Carla P. Gomes, Arnaud Lallouet:
Constrained Machine Learning: The Bagel Framework. - Guillaume Theyssier:
The Mirage of Universality in Cellular Automata. - Philip Bradish, Sarang Chaudhari, Michael Clear, Hitesh Tewari:
CoviChain: A Blockchain Based COVID-19 Vaccination Passport. - Surabhi Gupta, Ashwath Shetty, Avinash Sharma:
Attention based Occlusion Removal for Hybrid Telepresence Systems. - Inês Macedo, Sinan Wannous, Nuno Oliveira, Orlando Sousa, Isabel Praça:
A tool to support the investigation and visualization of cyber and/or physical incidents. - Arash Vaezi, Mohammad Ghodsi:
A Constant-Factor Approximation Algorithm for Point Guarding an Art Gallery. - Enrica Rossi, Marco Tognon, Ruggero Carli, Antonio Franchi, Luca Schenato:
Control of over-redundant cooperative manipulation via sampled communication. - Stefan Mengel:
A short note on the counting complexity of conjunctive queries. - Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. - Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. - Si Yuan Jin, Yong Xia:
CEV Framework: A Central Bank Digital Currency Evaluation and Verification Framework with Focus of Consensus Algorithms and Operating Models. - Matti Henning, Johannes Müller, Fabian Gies, Michael Buchholz, Klaus Dietmayer:
Situation-Aware Environment Perception Using a Multi-Layer Attention Map. - Faeze Ghorbanpour, Maryam Ramezani, Mohammad A. Fazli, Hamid R. Rabiee:
FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media. - Yann Ramusat, Silviu Maniu, Pierre Senellart:
A Practical Dynamic Programming Approach to Datalog Provenance Computation. - Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu:
Open-set 3D Object Detection. - Ranga Shaarad Ayyagari, Ambedkar Dukkipati:
Risk-Aware Algorithms for Combinatorial Semi-Bandits. - Fabio Catania, Micol Spitale, Franca Garzotto:
Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey. - Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie:
CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization. - Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao:
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. - Tom H. Luan, Yao Zhang, Lin Cai, Yilong Hui, Changle Li, Nan Cheng:
Autonomous Vehicular Networks: Perspective and Open Issues. - Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. - Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. - Garib Nath Singh, Diya Bhattacharyya, Arnab Bandyopadhyay:
Perception and Attitude of Reddit Users Towards Use of Face-Masks in Controlling COVID-19. - Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. - Youjian Zhang, Chaoyue Wang, Dacheng Tao:
Video Frame Interpolation without Temporal Priors. - Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind:
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. - Jiajun Zhou, Qi Xuan:
Subgraph Contrastive Link Representation Learning. - Benoit Doussin, Carole Adam, Didier Georges:
Multi-scale simulation of COVID-19 epidemics. - Matheus A. Cavalcante, Anthony Agnesina, Samuel Riedel, Moritz Brunion, Alberto García-Ortiz, Dragomir Milojevic, Francky Catthoor, Sung Kyu Lim, Luca Benini:
MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration. - Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei:
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. - Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Neural Action Representations. - Xixi Wang, Bo Jiang, Xiao Wang, Bin Luo:
MutualFormer: Multi-Modality Representation Learning via Mutual Transformer. - Giorgia Minello, Carlo R. M. A. Santagiustina, Massimo Warglien:
LDA2Net: Digging under the surface of COVID-19 topics in scientific literature. - Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat:
Age of Information in Prioritized Random Access. - Alina Walch, Xiang Li, Jonathan Chambers, Nahid Mohajeri, Selin Yilmaz, Martin Patel, Jean-Louis Scartezzini:
Shallow geothermal energy potential for heating and cooling of buildings with regeneration under climate change scenarios. - Ze Tang, Chuanyi Li, Jidong Ge, Xiaoyu Shen, Zheling Zhu, Bin Luo:
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization. - Kai Kang, Fangzhen Lin:
Computing Class Hierarchies from Classifiers. - Wei Lin, Changhong Zhao:
Cost Functions over Feasible Power Transfer Regions of Virtual Power Plants. - Nikolaos Mavrogeorgis:
Simplifying heterogeneous migration between x86 and ARM machines. - Rui Yan, Mike Zheng Shou, Yixiao Ge, Alex Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang:
Video-Text Pre-training with Learned Regions. - Oleg Svidchenko, Aleksei Shpilman:
Maximum Entropy Model-based Reinforcement Learning. - Wenkai Chen, Chuang Zhu, Yi Chen:
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels. - Ismail Arai, Samy El-Tawab, Ahmad Salman, Ahmed Elnoshokaty:
The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA. - Lars Flessing, Grigory Devadze, Stefan Streif:
Formal verification of a controller implementation in fixed-point arithmetic. - Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser:
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking. - Jan Pöppel, Sebastian Kahl, Stefan Kopp:
Resonating Minds - Emergent Collaboration Through Hierarchical Active Inference. - Haiquan Wang, Hans-Dietrich Haasis, Panpan Du, Xiaobin Xu, Menghao Su, Shengjun Wen, Wenxuan Yue, Shanshan Zhang:
Adaptive Group Collaborative Artificial Bee Colony Algorithm. - Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. - James Sud, Victor Li:
A Quantum Annealing Approach to Reduce Covid-19 Spread on College Campuses. - Dan Bi, Ju'e Guo, Erlong Zhao, Shaolong Sun, Shouyang Wang:
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports. - Tor Sporsem, Morten Hatling, Marius Mikalsen:
Invisible Data Curation Practices: A Case Study from Facility Management. - Avishek Choudhury, Onur Asan, Mo Mansouri:
Role of Artificial Intelligence, Clinicians & Policymakers in Clinical Decision Making: A Systems Viewpoint. - Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima, Marek Z. Reformat, Leo Guo:
AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning. - Yong-Bin Kang, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Natalie Wieland, Elizabeth Kollias, Hung Du, Steven Thomson, Yuan-Fang Li:
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers. - Jiyoung Shin, Yikuan Li, Yuan Luo:
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. - Xuli Tang, Xin Li, Feicheng Ma:
Internationalizing AI: Evolution and Impact of Distance Factors. - Sanmay Das:
Local Justice and the Algorithmic Allocation of Societal Resources. - Vincent Schlatt, Johannes Sedlmeir, Simon Feulner, Nils Urbach:
Designing a Framework for Digital KYC Processes Built on Blockchain-Based Self-Sovereign Identity. - Kyle McDonald:
Ethereum Emissions: A Bottom-up Estimate. - Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari:
Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model. - Iuliana Marin:
A Neuroscience Approach regarding Student Engagement in the Classes of Microcontrollers during the COVID19 Pandemic. - Premalatha M, Suganya G, Viswanathan V, G. Jignesh Chowdary:
Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria. - María Pérez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor:
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All. - Luis M. Vaquero, Niall Twomey, Miguel Patricio Dias, Massimo Camplani, Robert Hardman:
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation. - Linta Islam, Mafizur Rahman, Nabila Ahmad, Tasnia Sharmin, Jannatul Ferdous Sorna:
A Crowdsourced Contact Tracing Model to Detect COVID-19 Patients using Smartphones. - Aaditya Bhusal:
Predicting Student's Performance Through Data Mining. - Rushit Dave, Naeem Seliya, Nyle Siddiqui:
The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. - Miguel Angel Calvache, Valeria Cardona, Sebastian Tapias, Simon Marin, Mauricio Toro:
Health Detection on Cattle Compressed Images in Precision Livestock Farming. - Susannah Kate Devitt, Damian Copeland:
Australia's Approach to AI Governance in Security and Defence. - Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. - Jihun Han, Yoonsang Lee:
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks. - Qianqian Gu:
Simulation Method Of Cabin Oil Leakage Into Water In Case Of Accidental Oil Spill. - Dimitrios S. Karachalios, Ion Victor Gosea, Athanasios C. Antoulas:
A framework for fitting quadratic-bilinear systems with applications to models of electrical circuits. - Sina Gholamian, Paul A. S. Ward:
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation. - Jingyi Feng, Yong Luo, Shuang Song:
ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding. - Tianze Chen, Adheesh Shenoy, Anzhelika Kolinko, Syed Shah, Yu Sun:
Multi-Object Grasping - Estimating the Number of Objects in a Robotic Grasp. - David S. Smith:
RawArray: A Simple, Fast, and Extensible Archival Format for Numeric Data. - Mustafa Safa Özdayi, Murat Kantarcioglu:
The Impact of Data Distribution on Fairness and Robustness in Federated Learning. - Ezekiel J. Maier:
Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions. - Carlos Medel-Ramírez, Hilario Medel-López, Jennifer Lara-Mérida:
(SARS-CoV-2) COVID 19: Genomic surveillance and evaluation of the impact on the population speaker of indigenous language in Mexico. - Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa, Juhi Kulshrestha:
Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results. - Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. - Claudio S. Pinhanez:
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI. - Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz:
Achieving a Data-driven Risk Assessment Methodology for Ethical AI. - Minjing Shi, Pengfei He, Yuli Shi:
Detecting Extratropical Cyclones of the Northern Hemisphere with Single Shot Detector. - Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke:
Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs. - Arnaud Fanthomme, Francesca Rizzato, Simona Cocco, Rémi Monasson:
Optimal regularizations for data generation with probabilistic graphical models. - Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Said A. Salloum:
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN. - Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David A. Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk:
Meaningful human control over AI systems: beyond talking the talk. - Sanjay Kariyappa, Moinuddin K. Qureshi:
Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning. - Graham Wild, Glenn Baxter, Pannarat Srisaeng, Steven Richardson:
Machine Learning for Air Transport Planning and Management. - Piergiorgio Castioni, Giulia Andrighetto, Riccardo Gallotti, Eugenia Polizzi, Manlio De Domenico:
The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing. - Preetha S, Sheela S. V:
Security Monitoring System Using FaceNet For Wireless Sensor Network. - Ghassan Samara, Mohammad A. Hassan, Yahya Zayed:
An Intelligent Vice Cluster Head Election Protocol in WSN. - Zhongyun Hu, Ntumba Elie Nsampi, Xue Wang, Qing Wang:
NeurSF: Neural Shading Field for Image Harmonization. - Christoph Derks, Daniel Strüber, Thorsten Berger:
A Generator Framework For Evolving Variant-Rich Software. - Junha Lee, Christopher B. Choy, Jaesik Park:
Putting 3D Spatially Sparse Networks on a Diet. - Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous GNN. - Anas Osman, Usman Abid, Luca Gemma, Matteo Perotto, Davide Brunelli:
TinyML Platforms Benchmarking. - Tomasz Imielinski:
Lists of Top Artists to Watch computed algorithmically. - Vince Kurtz, Hai Lin:
A More Scalable Mixed-Integer Encoding for Metric Temporal Logic. - Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei:
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat. - Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. - Jia-Yan Wu, Alexander Te-Wei Shieh, Shih-Ju Hsu, Yun-Nung Chen:
Towards Generating Citation Sentences for Multiple References with Intent Control. - Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan:
Stationary Diffusion State Neural Estimation for Multiview Clustering. - Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan:
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization. - Xinwei Yue, Jin Xie, Yuanwei Liu, Zhihao Han, Rongke Liu, Zhiguo Ding:
Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface Assisted NOMA Networks. - Marek Klonowski, Dariusz R. Kowalski, Dominik Pajak:
Generalized Framework for Group Testing: Queries, Feedbacks and Adversaries. - Tatiana Shavrina, Valentin Malykh:
How not to Lie with a Benchmark: Rearranging NLP Leaderboards. - Jhuma Sen Gupta:
A Priori Error Bounds for Parabolic Interface Problems with Measure Data. - Ching-Yu Tseng, Po-Shao Lin, Yu-Jia Liou, Kuan-Chih Huang, Winston H. Hsu:
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction. - Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu:
MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment. - Marko Jereminov, Larry T. Pileggi:
Equivalent Circuit Programming for Power Flow Analysis and Optimization. - Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca:
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets. - Gledson Melotti, W. Lu, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida:
Probabilistic Approach for Road-Users Detection. - Lokesh Bommisetty, T. G. Venkatesh:
Phasic Policy Gradient Based Resource Allocation for Industrial Internet of Things. - Mark W. Lohry:
Tesselating a Pascal-like tetrahedron for the subdivision of high order tetrahedral finite elements. - Antonio Elia Forte, David Melancon, Leon M. Kamp, Benjamin Gorissen, Katia Bertoldi:
MuA-Ori: Multimodal Actuated Origami. - Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech, Valeriy Vyatkin:
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. - Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li:
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors. - Vidya Samadi:
Flood Analytics Information System (FAIS) Version 4.00 Manual. - Matthew T. Osborne, Samuel S. Malloy, Erik C. Nisbet, Robert M. Bond, Joseph H. Tien:
Sentinel node approach to monitoring online COVID-19 misinformation. - Ali Hojjat, Ghazaleh Haddad:
A New Approach to Detect Important Members that Create the Communities in Bipartite Networks. - Marc Finzi, Gregory W. Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. - Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. - Stephen Chou, Saman P. Amarasinghe:
Dynamic Sparse Tensor Algebra Compilation. - Philipp Klaus Krause:
Efficient Calling Conventions for Irregular Architectures. - Tan M. Dinh, Rang Nguyen, Binh-Son Hua:
TISE: A Toolbox for Text-to-Image Synthesis Evaluation. - Ujjwal Thakur, Anuj Sharma:
Newton methods based convolution neural networks using parallel processing. - Dipika Singhania, Rahul Rahaman, Angela Yao:
Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation. - Ningyu Zhang, Hongbin Ye, Jiacheng Yang, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training. - Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary:
FedRAD: Federated Robust Adaptive Distillation. - Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang:
Active Learning for Domain Adaptation: An Energy-based Approach. - Chenyu Wu, Changsheng You, Yuanwei Liu, Xuemai Gu, Yunlong Cai:
Channel Estimation for STAR-RIS-aided Wireless Communication. - Matthew Stevenson, Christophe Mues, Cristián Bravo:
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. - Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang:
3D-Aware Semantic-Guided Generative Model for Human Synthesis. - Fartash Faghri:
Training Efficiency and Robustness in Deep Learning. - Hrishikesh Sharma, Prakhar Pradhan, Balamuralidhar Purushothaman:
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation. - Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu:
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. - Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang:
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation. - Rudrashis Majumder, Rakesh R. Warier, Debasish Ghose:
Game-Theoretic Model Based Resource Allocation During Floods. - Paolo Pareti, George Konstantinidis:
A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs. - Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang:
Learning Large-scale Network Embedding from Representative Subgraph. - Alexander Neuwirth, Derek Riley:
Architecting and Visualizing Deep Reinforcement Learning Models. - Hassan Saber, Pierre Ménard, Odalric-Ambrym Maillard:
Indexed Minimum Empirical Divergence for Unimodal Bandits. - Vincent Roulet, Zaïd Harchaoui:
Target Propagation via Regularized Inversion. - Mohammad Imrul Jubair, Md. Masud Rana, Md. Amir Hamza, Mohsena Ashraf, Fahim Ahsan Khan, Ahnaf Tahseen Prince:
Altering Facial Expression Based on Textual Emotion. - Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole:
Zero-Shot Text-Guided Object Generation with Dream Fields. - Yu Tian, Renaud Lambiotte:
Unifying Diffusion Models on Networks and Their Influence Maximisation. - Alexandre Obadia, Alejo Salles, Lakshman Sankar, Tarun Chitra, Vaibhav Chellani, Philip Daian:
Unity is Strength: A Formalization of Cross-Domain Maximal Extractable Value. - Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide:
Neural Point Light Fields. - Markus Bachmayr, Anthony Nouy, Reinhold Schneider:
Approximation by tree tensor networks in high dimensions: Sobolev and compositional functions. - Niket Sharma, Y. A. Liu:
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes. - Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea:
KPDrop: An Approach to Improving Absent Keyphrase Generation. - Achintya Gopal:
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning. - Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar:
Learning Spatial-Temporal Graphs for Active Speaker Detection. - Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
Safe Reinforcement Learning for Grid Voltage Control. - Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. - Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely:
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. - Kelvin Kwakye, Emmanuel Dadzie:
Machine Learning-Based Classification Algorithms for the Prediction of Coronary Heart Diseases. - Mikolaj Czerkawski, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis:
Neural Weight Step Video Compression. - Kishan Panaganti, Dileep Kalathil:
Sample Complexity of Robust Reinforcement Learning with a Generative Model. - Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto:
The Surprising Effectiveness of Representation Learning for Visual Imitation. - Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. - Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. - Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation. - Omri Avrahami, Bar Tamir:
Ownership and Creativity in Generative Models. - Haotong Lin, Sida Peng, Zhen Xu, Hujun Bao, Xiaowei Zhou:
Efficient Neural Radiance Fields with Learned Depth-Guided Sampling. - Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. - Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari:
Recognizing Scenes from Novel Viewpoints. - Enis Simsar, Evin Pinar Örnek, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari:
Object-aware Monocular Depth Prediction with Instance Convolutions. - Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. - Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim:
Learning Neural Light Fields with Ray-Space Embedding Networks. - Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. - Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. - Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. - Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. - Zhiqiang Shen, Eric P. Xing:
A Fast Knowledge Distillation Framework for Visual Recognition. - Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan:
BEVT: BERT Pretraining of Video Transformers. - Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. - Brittany Wills, Christina Isaicu, Heather von Stackelberg, Lujain Ibrahim, Matthew Hutson, Mitchel Fleming, Nanditha Narayanamoorthy, Samuel Curtis, Shreyasha Paudel, Sofía Trejo, Tiziana Zevallos, Victoria Martín del Campo, Wilson Lee:
The MAIEI Learning Community Report. - Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Improving mathematical questioning in teacher training. - Yeshayahu Weiss:
Testing Reactive Systems Using Behavioural Programming, a Model Centric Approach. - Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans. - Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. - Ayesha Siddique, Khaza Anuarul Hoque:
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? - Ryan Wickman, Xiaofei Zhang, Weizi Li:
SparRL: Graph Sparsification via Deep Reinforcement Learning. - Gautham Bekal, Mohammad Bari:
Theoretical Analysis of an XGBoost Framework for Product Cannibalization. - Mohsen Rezaie, Nicolas Saunier:
Trajectory Clustering Performance Evaluation: If we know the answer, it's not clustering. - Abu Reyan Ahmed, Felice De Luca, Sabin Devkota, Stephen G. Kobourov, Mingwei Li:
Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent, (SGD)2. - Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu:
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. - Benjamin Poole, Minwoo Lee:
Towards Intrinsic Interactive Reinforcement Learning: A Survey. - Rahul Vaze, Santanu Rathod:
Scheduling to Learn In An Unsupervised Online Streaming Model. - Sebastian Weiss, Philipp Hermüller, Rüdiger Westermann:
Fast Neural Representations for Direct Volume Rendering. - Eman Abdullah AlOmar, Jiaqian Liu, Kenneth Addo, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni, Zhe Yu:
On the Documentation of Refactoring Types. - Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
The Representation Jensen-Rényi Divergence. - Cayden Pierce, Steve Mann:
Wearable Affective Memory Augmentation. - Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta:
Differentially Private Exploration in Reinforcement Learning with Linear Representation. - Sam Foreman, Taku Izubuchi, Luchang Jin, Xiao-Yong Jin, James C. Osborn, Akio Tomiya:
HMC with Normalizing Flows. - Pierre Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. - Sumon Biswas, Mohammad Wardat, Hridesh Rajan:
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. - André Seidel Oliveira, Anna Helena Reali Costa:
PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites. - Spyros Angelopoulos, Shahin Kamali, Dehou Zhang:
Online Search With Best-Price and Query-Based Predictions. - Joseph W. N. Paulus, Daniele Nantes-Sobrinho, Jorge A. Pérez:
Types and Terms Translated: Unrestricted Resources in Encoding Functions as Processes (Extended Version). - Xiao Ling, Tim Menzies:
Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation). - Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper:
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? - Hugo Latapie, Özkan Kiliç, Kristinn R. Thórisson, Pei Wang, Patrick Hammer:
Neurosymbolic Systems of Perception & Cognition: The Role of Attention. - John C. Butcher, Helmut Podhaisky:
Isomeric trees and the order of Runge-Kutta methods. - Fan Jiang, Andrew Marmon, Ildebrando De Courten, Marc Rasi, Frank Dellaert:
Probabilistic Tracking with Deep Factors. - Wojciech Giernacki, Krzysztof Lakomy, Jacek Michalski, Rafal Madonski:
Active Disturbance Rejection Control (ADRC) Toolbox for MATLAB/Simulink. - Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng:
Evaluator for Emotionally Consistent Chatbots. - Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the Noise at Random model with ensemble filters. - Caroline Baker, Marcial Gonzalez:
Time integrator based on rescaled Rodrigues parameters. - Byunghyun Ban:
A Survey on Awesome Korean NLP Datasets. - Samuel C. Hoffman, Vijil Chenthamarakshan, Dmitry Yu. Zubarev, Daniel P. Sanders, Payel Das:
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model. - Kel Levick, Reinhard Heckel, Ilan Shomorony:
Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes. - Jorge Cisneros, Bernard Deconinck:
The numerical solution of semidiscrete linear evolution problems on the finite interval using the Unified Transform Method. - Cécilia Tarpau, Javier Cebeiro, Geneviève Rollet, Maï K. Nguyen, Laurent Dumas:
An analytical reconstruction formula with efficient implementation for a modality of Compton Scattering Tomography with translational geometry. - Sara Moshtari, Ahmet Okutan, Mehdi Mirakhorli:
A Grounded Theory Based Approach to Characterize Software Attack Surfaces. - Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. - David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
LongChecker: Improving scientific claim verification by modeling full-abstract context. - Mohammad Asif Khan, Amos J. Storkey:
Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences. - Shen Li, Jianqing Xu, Bryan Hooi:
Probabilistic Contrastive Loss for Self-Supervised Learning. - Alvine Boaye Belle, Ghizlane El-Boussaidi, Timothy C. Lethbridge, Segla Kpodjedo, Hafedh Mili, Andrés Paz:
Systematically reviewing the layered architectural pattern principles and their use to reconstruct software architectures. - James R. Wootton, Marcel Pfaffhauser:
Investigating the usefulness of Quantum Blur. - Fernando Granha Jeronimo, Tushant Mittal, Ryan O'Donnell, Pedro Paredes, Madhur Tulsiani:
Explicit Abelian Lifts and Quantum LDPC Codes. - Zhiyuan Liu, Chuanzheng Sun, Yuxin Jiang, Shiqi Jiang, Mei Ming:
Multi-modal application: Image Memes Generation. - Stephen Longofono, Seyed Mohammad Seyedzadeh, Alex K. Jones:
Virtual Coset Coding for Encrypted Non-Volatile Memories with Multi-Level Cells. - Xinwei Du, Kailun Dong, Yuchen Zhang, Yongsheng Li, Ruei-Yu Tsay:
The Influence of Data Pre-processing and Post-processing on Long Document Summarization. - Pouneh Nikkhah Bahrami, Umar Iqbal, Zubair Shafiq:
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting. - Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock:
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. - Meet P. Vadera, Benjamin M. Marlin:
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. - Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-guided Transformer for Zero-Shot Learning. - Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. - Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. - Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath:
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. - Ruigang Shen, Qianru Zhang, Benzhuo Lu:
An inverse averaging finite element method for solving the size-modified Poisson-Nernst-Planck equations in ion channel simulations. - Orhun Gorkem, Haluk O. Bingol:
Optimism brings accurate perception in Iterated Prisoner's Dilemma. - Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri:
On the Existence of the Adversarial Bayes Classifier (Extended Version). - Xiang Li, Jinglu Wang, Xiao Li, Yan Lu:
Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation. - Chunyue Lv, Lei Wang, Chenming Xie:
A hybrid physics-informed neural network for nonlinear partial differential equation. - Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou:
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences. - Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. - Gobinda Garai, Bankim C. Mandal:
Convergence of substructuring Methods for the Cahn-Hilliard Equation. - Euiwoong Lee, Viswanath Nagarajan, Lily Wang:
On Some Variants of Euclidean K-Supplier. - Honglu Jiang, Yifeng Gao, S. M. Sarwar, Luis GarzaPerez, Mahmudul Robin:
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity. - Xiaotian Lin, Nankai Lin, Kanoksak Wattanachote, Shengyi Jiang, Lianxi Wang:
Multilingual Text Classification for Dravidian Languages. - Kuan-Yu Chiang, Shihao Lin, Joe Chen, Qian Yin, Qizhen Jin:
TransCouplet: Transformer based Chinese Couplet Generation. - Ruisi Zhang, Ashkan Pourkand:
Emergency-braking Distance Prediction using Deep Learning. - Euiwoong Lee, Pengxiang Wang:
Strong Hardness of Approximation for Tree Transversals. - Fengting Yang, Xiaolei Huang, Zihan Zhou:
Deep Depth from Focus with Differential Focus Volume. - Xuejun Han, Yuhong Guo:
Contrastive Continual Learning with Feature Propagation. - Yang Li, Yuichi Tanaka:
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks. - Peri Akiva, Matthew Purri, Matthew J. Leotta:
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. - Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. - Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. - Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin:
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. - James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen:
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. - Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng:
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). - Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu:
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection. - Yunsoo Kim, Hyun Myung:
Gesture Recognition with a Skeleton-Based Keyframe Selection Module. - Shiwen He, Jun Yuan, Zhenyu An, Wei Huang, Yongming Huang, Yaoxue Zhang:
Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems. - Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer:
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration. - Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. - Shaily Desai, Atharva Kshirsagar, Manisha Marathe:
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages. - Qi Zhang, Rongxia Tang, Zhengan Yao, Zanbo Zhang, Jun Liang:
A Parallel PageRank Algorithm For Undirected Graph. - Jie Zhu, Huabin Huang, Banghuai Li, Yong Liu, Leye Wang:
MSP : Refine Boundary Segmentation via Multiscale Superpixel. - Maximilian Arnold, Maximilian Bauhofer, Silvio Mandelli, Marcus Henninger, Frank Schaich, Thorsten Wild, Stephan ten Brink:
MaxRay: A Raytracing-based Integrated Sensing and Communication Framework. - Zeming Chen, Qiyue Gao:
Probing Linguistic Information For Logical Inference In Pre-trained Language Models. - Yuting Yang, Binbin Du, Yingxin Zhang, Wenxuan Wang, Yuke Li:
BBS-KWS: The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge. - Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu:
NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling. - Shuwei Zhang, Maiqi Tang, Qingyang Zhang, Yucan Luo, Yuhui Zou:
Given Users Recommendations Based on Reviews on Yelp. - Ritesh Kumar, Shiv Bhusan Kaushik, Pinkey Nainwani, Girish Nath Jha:
Creating and Managing a large annotated parallel corpora of Indian languages. - Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko:
Learning Emergent Random Access Protocol for LEO Satellite Networks. - Feng Zhang, Yuanjie Shao, Yishi Sun, Kai Zhu, Changxin Gao, Nong Sang:
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior. - Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas:
Prescriptive Process Monitoring: Quo Vadis? - Junming Cao, Bihuan Chen, Chao Sun, Longjie Hu, Xin Peng:
Characterizing Performance Bugs in Deep Learning Systems. - Tochukwu Idika, Ismail Akturk:
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models. - Mohammed Lalou:
On the Complexity of the K-way Vertex Cut Problem. - Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-Ran Li, Jianguo Zhang:
Detect Faces Efficiently: A Survey and Evaluations. - Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, Baodi Liu:
SSDL: Self-Supervised Dictionary Learning. - Paola F. Antonietti, Ilario Mazzieri, Francesco Migliorini:
A discontinuous Galerkin time integration scheme for second order differential equations with applications to seismic wave propagation problems. - Hanyang Peng, Shiqi Yu:
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization. - Kevin Alexander Laube:
The UniNAS framework: combining modules in arbitrarily complex configurations with argument trees. - Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan:
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. - Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu:
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples. - Huan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Mian:
Geometric Feature Learning for 3D Meshes. - Shuang Wu, Shijian Lu, Li Cheng:
Music-to-Dance Generation with Optimal Transport. - Tudor Jianu, Daniel Fernandes Gomes, Shan Luo:
Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks. - Matej Kocián, Jakub Náplava, Daniel Stancl, Vladimír Kadlec:
Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset. - Hau Trung Dang, Inga Berre, Eirik Keilegavlen:
Multiscale simulation of injection-induced fracture slip and wing-crack propagation in poroelastic media. - Masoud Barati, William J. Buchanan, Owen Lo, Omer F. Rana:
A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports. - Xiaoliang Wu, Ajitha Rajan:
Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems. - Ritesh Kumar, Girish Nath Jha:
Translating Politeness Across Cultures: Case of Hindi and English. - Longbing Cao, Chengzhang Zhu:
Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. - Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Xirong Li:
Lightweight Attentional Feature Fusion for Video Retrieval by Text. - Abdelkhalak El Hami, Bouchaib Radi, David Bassir:
A new elastoplastic-damage model with the correction of stress triaxiality and Lode angle. - Daniel Fernandes Gomes, Shan Luo:
GelTip Tactile Sensor for Dexterous Manipulation in Clutter. - Lukas Munser, Grigory Devadze, Stefan Streif:
Synthesis of Lyapunov Functions using Formal Verification. - Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Shubham Kumar Nigam, Angshuman Hazarika, Arnab Bhattacharya, Ashutosh Modi:
Semantic Segmentation of Legal Documents via Rhetorical Roles. - Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer. - (Withdrawn) Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling.
- Jieqi Shi, Lingyun Xu, Liang Heng, Shaojie Shen:
Graph-Guided Deformation for Point Cloud Completion. - Lucas Gouveia Omena Lopes, Thales M. A. Vieira, William Wagner M. Lira:
Automatic evaluation of scientific abstracts through natural language processing. - Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler:
Combining Sub-Symbolic and Symbolic Methods for Explainability. - Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda:
Semantic Map Injected GAN Training for Image-to-Image Translation. - Wulfrano Arturo Luna-Ramírez, Carlos R. Jaimez-González:
A Proposal of Automatic Error Correction in Text. - Christian Dorize, Elie Awwad, Sterenn Guerrier, Jérémie Renaudier:
Optimal Probing Sequences for Polarization-Multiplexed Coherent Phase OTDR. - Jianyuan Ni, Raunak Sarbajna, Yang Liu, Anne H. H. Ngu, Yan Yan:
Cross-modal Knowledge Distillation for Vision-to-Sensor Action Recognition. - Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. - Ziyu Chen, Hau-Tieng Wu:
Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application. - Waseem Akram, Sanjeev Saxena:
Point Enclosure Problem for Homothetic Polygons. - Piotr S. Maciag, Robert Bembenik, Artur Dubrawski:
Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns. - Chen Zhang, Jon Are Suul, Marta Molinas:
A Practical Method for Automated Modeling and Parametric Stability Analysis of VSC with Periodical Steady State. - Zizhao Hu, Ravikiran Chanumolu, Xingyu Lin, Nayela Ayaz, Vincent Chi:
Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts. - Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella:
A Large Scale Study of Reader Interactions with Images on Wikipedia. - Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani:
Active Inference in Robotics and Artificial Agents: Survey and Challenges. - Alejandro D. Mousist:
Image-to-image Translation as a Unique Source of Knowledge. - Luís Miguel Sousa, Nuno Miguel Cardanha Paulino, João Canas Ferreira, João Bispo:
A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on FPGA. - Shijin Hou, Yanlai Chen, Yinhua Xia:
Fast L2 optimal mass transport via reduced basis methods for the Monge-Ampère equation. - Daesoo Lee:
Reinforcement Learning-Based Automatic Berthing System. - Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. - Jiawei Mo, Md Jahidul Islam, Junaed Sattar:
Fast Direct Stereo Visual SLAM. - Wiktoria Kosny, Oskar Skibski:
Comparative Theoretical Analysis of Medial Centrality Measures. - Carlos Rodríguez Penagos, Carme Armentano-Oller, Marta Villegas, Maite Melero, Aitor Gonzalez, Ona De Gibert Bonet, Casimiro Pio Carrino:
The Catalan Language CLUB. - Robert Sicks, Stefanie Grimm, Ralf Korn, Ivo Richert:
Estimating the Value-at-Risk by Temporal VAE. - Adrian Rebmann, Matthias Weidlich, Han van der Aa:
GECCO: Constraint-driven Abstraction of Low-level Event Logs. - François Charton:
Linear algebra with transformers. - Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee:
Novel Class Discovery in Semantic Segmentation. - Johannes Gilg, Torben Teepe, Fabian Herzog, Gerhard Rigoll:
The Box Size Confidence Bias Harms Your Object Detector. - Nauros Romim, Mosahed Ahmed, Md Saiful Islam, Arnab Sen Sharma, Hriteshwar Talukder, Mohammad Ruhul Amin:
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla. - Mohammad Azangoo, Joonas Salmi, Iivo Yrjölä, Jonathan Bensky, Gerardo Santillan Martinez, Nikolaos Papakonstantinou, Seppo A. Sierla, Valeriy Vyatkin:
Hybrid Digital Twin for process industry using Apros simulation environment. - Sivan Toledo:
Lecture Notes on Support Preconditioning. - Satyaki Chatterjee, Siming Bayer, Andreas K. Maier:
Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model. - Liang Chen, Jianpeng Qi, Xiao Su, Rui Wang:
REMR: A Reliability Evaluation Method for Dynamic Edge Computing Network under Time Constraints. - Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Errui Ding, Li Zhang, Xiangyang Xue, Jianfeng Feng:
SGM3D: Stereo Guided Monocular 3D Object Detection. - Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard:
A Structured Dictionary Perspective on Implicit Neural Representations. - Leah Chrestien, Tomás Pevný, Antonín Komenda, Stefan Edelkamp:
Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning. - Huilian Sophie Qiu:
On Female Audience Sending Virtual Gifts to Male Streamers on Douyin. - Wei Xu, Liezhong Ge, Zaifeng Gao:
Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI. - Sarah Felix, Saikat Ray Majumder, H. Kirk Mathews, Michael Lexa, Gabriel M. Lipsa, Xiaohu Ping, Subhrajit Roychowdhury, Thomas Spears:
In situ process quality monitoring and defect detection for direct metal laser melting. - Haritz Puerto, Gözde Gül Sahin, Iryna Gurevych:
MetaQA: Combining Expert Agents for Multi-Skill Question Answering. - Wu Ran, Bohong Yang, Peirong Ma, Hong Lu:
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis. - Claire Little, Mark J. Elliot, Richard Allmendinger, Sahel Shariati Samani:
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. - Liyun Zhang, Photchara Ratsamee, Bowen Wang, Manabu Higashida, Yuki Uranishi, Haruo Takemura:
Panoptic-based Object Style-Align for Image-to-Image Translation. - Gongyang Li, Zhi Liu, Weisi Lin, Haibin Ling:
Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images. - Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, Tobi Delbrück, Viktor Gruev:
Bio-inspired Polarization Event Camera. - Hameda F. Balat, M. A. El-Dosuky, El-Saeed Abd M. El-Razek, Magdi Z. Rashed:
Automatic Exam Evaluation based on Brain Computer Interface. - Harsh Agarwal, Keshav Bansal, Abhinav Joshi, Ashutosh Modi:
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts. - Jiaxi Ying, José Vinícius de Miranda Cardoso, Jian-Feng Cai, Daniel P. Palomar:
Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. - Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki:
A Survey of Robot Manipulation in Contact. - Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. - Viktor Torgunakov, Vyacheslav Loginov, Evgeny M. Khorov:
A Study of the Impact of the Contention Window on the Performance of IEEE 802.11bd Networks with Channel Bonding. - Shengjia Zhang, Tiancheng Lin, Yi Xu:
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning. - Antonio Albanese, Francesco Devoti, Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-Pérez:
MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6G. - Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel J. Block, Naira Hovakimyan:
Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control. - Yuanyuan Yuan, Qi Pang, Shuai Wang:
You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage. - Yuanyuan Yuan, Qi Pang, Shuai Wang:
Enhancing Deep Neural Networks Testing by Traversing Data Manifold. - Carlos Guerrero, Isaac Lera, Carlos Juiz:
Genetic-based optimization in Fog Computing: current trends and research opportunities. - André Barbosa, Alan Godoy:
Augmenting Customer Support with an NLP-based Receptionist. - David P. Ellerman:
Introduction to Logical Entropy and its Relationship to Shannon Entropy. - Paul Staat, Simon Mulzer, Stefan Roth, Veelasha Moonsamy, Aydin Sezgin, Christof Paar:
IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing. - Yoshiyuki Ishii, Tomoyoshi Shimobaba, David Blinder, Tobias Birnbaum, Peter Schelkens, Takashi Kakue, Tomoyoshi Ito:
Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks. - Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. - Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Fixed-Gain AF Relaying for RF-THz Wireless System over α-κ-μ Shadowed and α-μ Channels. - Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. - Cedric Möller, Jens Lehmann, Ricardo Usbeck:
Survey on English Entity Linking on Wikidata. - Daniel Christopher Merten, Marc-Thorsten Hütt, Yilmaz Uygun:
A network analysis of decision strategies of human experts in steel manufacturing. - Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty:
Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management. - Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jean Paul Barddal, Edson Emílio Scalabrin:
A Survey on Concept Drift in Process Mining. - Felipe J. Villaseñor-Cavazos, Daniel Torres-Valladares, Omar Lozano:
Modelling and optimization of nanovector synthesis for applications in drug delivery systems. - Simone Borg Bruun:
User-click Modelling for Predicting Purchase Intent. - Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai:
Learning to Broadcast for Ultra-Reliable Communication with Differential Quality of Service via the Conditional Value at Risk. - Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey:
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. - Indu P. Bodala, Hatice Gunes:
Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training. - Italo Atzeni, Antti Tölli, Giuseppe Durisi:
Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints. - Ahmed Moter, Mohamed Abdelhamid, Aleksander Czekanski:
Direction-Oriented Stress-Constrained Topology Optimization of 3D Printed Polymers. - Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway, John Shawe-Taylor:
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution. - Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu:
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. - Mehmet Fatih Ozkan, Yao Ma:
Socially Compatible Control Design of Automated Vehicle in Mixed Traffic. - Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. - Hepeng Li, Nicholas Clavette, Haibo He:
An Analytical Update Rule for General Policy Optimization. - Yuke Wang, Boyuan Feng, Yufei Ding:
TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. - Valdemar Svábenský, Richard Weiss, Jack Cook, Jan Vykopal, Pavel Celeda, Jens Mache, Radoslav Chudovský, Ankur Chattopadhyay:
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises. - (Withdrawn) Snake Robot Gait Decomposition and Gait Parameter Optimization.
- Zhangzhi Zhao, Zhengying Lou, Ruibo Wang, Qingyao Li, Xing Xu:
I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums. - Zack Harris, Liam Atticus Clarke, Pietro Gagliano, Dante Camarena, Manal Siddiqui, Pablo S. Castro:
Malakai: Music That Adapts to the Shape of Emotions. - Mourad El Hamri, Younès Bennani, Issam Falih, Hamid Ahaggach:
Hierarchical Optimal Transport for Unsupervised Domain Adaptation. - Nikolaos N. Vlassis, Puhan Zhao, Ran Ma, Tommy Sewell, WaiChing Sun:
MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints. - Yihong Wang:
On the very accurate evaluation of the Voigt/complex error function with small imaginary argument. - Joshua Siegel, Gregory Falco:
Cyberphysical Sequencing for Distributed Asset Management with Broad Traceability. - Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro:
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration. - Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau:
Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors. - Haiyang Han, Nikos Terzenidis, Dimitris Syrivelis, Arash Farhadi Beldachi, George T. Kanellos, Yigit Demir, Jie Gu, Srikanth Kandula, Nikos Pleros, Fabián E. Bustamante, Nikos Hardavellas:
Energy-Proportional Data Center Network Architecture Through OS, Switch and Laser Co-design. - Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner:
Data-Free Neural Architecture Search via Recursive Label Calibration. - Zhongzheng Ren, Xiaoming Zhao, Alexander G. Schwing:
Class-agnostic Reconstruction of Dynamic Objects from Videos. - Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan:
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. - Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. - Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig:
ProbNum: Probabilistic Numerics in Python. - Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt:
Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs? - Abbas Khalili, Farhad Shirani, Elza Erkip, Yonina C. Eldar:
MIMO Networks with One-Bit ADCs: Receiver Design and Communication Strategies. - Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Distributed Adaptive Learning Under Communication Constraints. - Damla Leblebicioglu, Özgür Atesoglu, Melih Çakmakci:
NN Based Active Disturbance Rejection Controller for a Multi-Axis Gimbal System. - Yajia Zhang, Hongyi Sun, Jinyun Zhou, Jiacheng Pan, Jiangtao Hu, Jinghao Miao:
Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform. - Yajia Zhang, Hongyi Sun, Jinyun Zhou, Jiangtao Hu, Jinghao Miao:
Optimal Trajectory Generation for Autonomous Vehicles Under Centripetal Acceleration Constraints for In-lane Driving Scenarios. - Rafael De S. Toledo, Eric A. Antonelo:
Face Reconstruction with Variational Autoencoder and Face Masks. - Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications. - Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang:
CTIN: Robust Contextual Transformer Network for Inertial Navigation. - Christopher Pyles, François van Schalkwyk, Gerard J. Gorman, Marijan Beg, Lee Stott, Nir Levy, Ran Gilad-Bachrach:
PyBryt: auto-assessment and auto-grading for computational thinking. - Shahid Rabbani, Zahid Ahmed Qureshi:
Exploratory Data Analysis of Urdu Poetry. - Ilir Çapuni, Péter Gács:
A reliable Turing machine. - Andreas Bueckle, Kilian Buehling, Patrick C. Shih, Katy Börner:
Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework. - Yuyi Cai, Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki:
MAC address randomization tolerant crowd monitoring system using Wi-Fi packets. - Yayun Du, Bhrugu Mallajosyula, Deming Sun, Jingyi Chen, Zihang Zhao, Mukhlesur Rahman, Mohiuddin Quadir, Mohammad Khalid Jawed:
A Low-cost Robot with Autonomous Recharge and Navigation for Weed Control in Fields with Narrow Row Spacing. - Kosuke Nakagawa, Manabu Tsukada, Keiichi Shima, Hiroshi Esaki:
WebRTC-based measurement tool for peer-to-peer applications and preliminary findings with real users. - Dean P. Foster, Alexander Rakhlin:
On Submodular Contextual Bandits. - Sama Ghoba, Nathan Colaner:
Counterfactual Fairness in Mortgage Lending via Matching and Randomization. - Toby Isaac:
Unifying the geometric decompositions of full and trimmed polynomial spaces in finite element exterior calculus. - Grischa Fraumann, Rüdiger Mutz:
The h-index. - Aditya Krishnan, Edo Liberty:
Projective Clustering Product Quantization. - Grischa Fraumann, Rogério Mugnaini, Elías Sanz-Casado:
International Conferences of Bibliometrics. - Mohammad Raashid Ansari, Jean-Philippe Monteuuis, Jonathan Petit, Cong Chen:
V2X Misbehavior and Collective Perception Service: Considerations for Standardization. - Aldo Pacchiano, Shaun Singh, Edward Chou, Alexander C. Berg, Jakob N. Foerster:
Neural Pseudo-Label Optimism for the Bank Loan Problem. - Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi:
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. - Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang:
ALX: Large Scale Matrix Factorization on TPUs. - Georg Maringer, Marvin Xhemrishi, Sven Puchinger, Kathrin Garb, Hedongliang Liu, Thomas Jerkovits, Ludwig Kürzinger, Matthias Hiller, Antonia Wachter-Zeh:
Analysis of Communication Channels Related to Physical Unclonable Functions. - Oluwaseun Oladimeji, Álvaro Ortega, Lukas Sigrist, Luis Rouco, Pedro Sanchez-Martin, Enrique Lobato:
Optimal Participation of Heterogeneous, RES-based Virtual Power Plants in Energy Markets. - Michael Davies, Adam Labiosa, Karthikeyan Sankaralingam:
Understanding the Limits of Conventional Hardware Architectures for Deep-Learning. - Qiangeng Xu, Yiqi Zhong, Ulrich Neumann:
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. - José Pablo Lucero Lorca, Natalie N. Beams, Damien Beecroft, Adrianna Gillman:
An iterative solver for the HPS discretization applied to three dimensional Helmholtz problems. - Wei Yang, Peng Xu, Yanshuai Cao:
Hierarchical Neural Data Synthesis for Semantic Parsing. - Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa:
Node-wise Hardware Trojan Detection Based on Graph Learning. - Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura:
Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation. - Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi:
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management. - Wei Tian, Jingjing Huang, Rongliang Chen, Yi Jiang:
A Parallel Scalable Domain Decomposition Preconditioner for Elastic Crack Simulation Using XFEM. - Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks. - Ru-Han Chen, Longguang Li, Jian Zhang, Lin Li:
Capacity Results for MIMO Optical Wireless Communication With Per-Antenna Intensity Constraints. - Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad:
Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset. - Hooman Alavizadeh, Julian Jang-Jaccard, Tansu Alpcan, Seyit Ahmet Çamtepe:
A Game-Theoretic Approach for AI-based Botnet Attack Defence. - Chengyin Xu, Zhengzhuo Xu, Zenghao Chai, Hongjia Li, Qiruyi Zuo, Lingyu Yang, Chun Yuan:
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval. - Harshal Tupsamudre, Sparsh Jain, Sachin Lodha:
PhishMatch: A Layered Approach for Effective Detection of Phishing URLs. - Rashmi Agrawal, Ji Yang, Haris Javaid:
Efficient FPGA-based ECDSA Verification Engine for Permissioned Blockchains. - Vasisht Duddu, Sebastian Szyller, N. Asokan:
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning. - Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu:
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. - Yingfan Liu, Hong Cheng, Jiangtao Cui:
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses. - Yichun Shi, Xiao Yang, Yangyue Wan, Xiaohui Shen:
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing. - Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone:
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. - Diqiong Jiang, Yiwei Jin, Fanglue Zhang, Zhe Zhu, Yun Zhang, Ruofeng Tong, Min Tang:
Sphere Face Model: A 3D Morphable Model with Hypersphere Manifold Latent Space. - Congying Xu, Bihuan Chen, Chenhao Lu, Kaifeng Huang, Xin Peng, Yang Liu:
TRACER: Finding Patches for Open Source Software Vulnerabilities. - Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante:
Recommender systems: when memory matters. - Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr:
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation. - Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman:
Controllable Response Generation for Assistive Use-cases. - Gopika Sharma, Arti Pandey, Michael C. Wigal:
Algorithms for Maximum Internal Spanning Tree Problem for Some Graph Classes. - (Withdrawn) Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint.
- Xavier Soria Poma, Ángel D. Sappa, Patricio Humanante, Arash Akbarinia:
Dense Extreme Inception Network for Edge Detection. - Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao:
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. - Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease:
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers. - Christos N. Mavridis, John S. Baras:
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach. - Chuang Zhu, Zheng Hu, Huihui Dong, Gang He, Zekuan Yu, Shangshang Zhang:
Construct Informative Triplet with Two-stage Hard-sample Generation. - Yaowen Zhang, Kaiming Shen, Shuyi Ren, Xin Li, Xin Chen, Zhi-Quan Luo:
Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming. - Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang:
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. - Mahesh Chandra:
On the Implementation of Fixed-point Exponential Function for Machine Learning and Signal Processing Accelerators. - Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang:
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. - Huy Nghiem, Fred Morstatter:
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic. - Zhiyu Wang, Rajkumar Buyya:
Integration of FogBus2 Framework with Container Orchestration Tools in Cloud and Edge Computing Environments. - Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao:
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. - Jing Hu, Meiqi Zhang, Rui Zhang:
Feature-based Recognition Framework for Super-resolution Images. - Dong Hao, Qi Shi, Jinyan Su, Bo An:
Cooperation, Retaliation and Forgiveness in Revision Games. - Guyue Li, Haiyu Yang, Junqing Zhang, Hongbo Liu, Aiqun Hu:
Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments. - Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
Self-supervised Graph Learning for Occasional Group Recommendation. - Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. - Xiaoxiao Yang, Yeqian Qiang, Huijie Zhu, Chunxiang Wang, Ming Yang:
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection. - Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu:
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation. - Haobo Ji, Xin Feng, Wenjie Pei, Jinxing Li, Guangming Lu:
U2-Former: A Nested U-shaped Transformer for Image Restoration. - Shuyi Ren, Kaiming Shen, Yaowen Zhang, Xin Li, Xin Chen, Zhi-Quan Luo:
Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming. - Carl Poelking, Felix A. Faber, Bingqing Cheng:
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. - Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith:
Towards Aggregated Asynchronous Checkpointing. - Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. - Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu:
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification. - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing. - Ilias Papastratis:
Ablation study of self-supervised learning for image classification. - Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. - Tingting Zhai, Hongcheng Tang, Hao Wang:
Adaptive label thresholding methods for online multi-label classification. - Rukiye Savran Kiziltepe, Lorin Sweeney, Mihai Gabriel Constantin, Faiyaz Doctor, Alba Garcia Seco de Herrera, Claire-Hélène Demarty, Graham Healy, Bogdan Ionescu, Alan F. Smeaton:
An Annotated Video Dataset for Computing Video Memorability. - Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, Shuochen Su:
Toward Practical Self-Supervised Monocular Indoor Depth Estimation. - Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao:
MoFaNeRF: Morphable Facial Neural Radiance Field. - Alexey Lyutov, Yilmaz Uygun, Marc-Thorsten Hütt:
Local topological features of robust supply networks. - Anastasios K. Papazafeiropoulos:
Ergodic Capacity of IRS-Assisted MIMO Systems with Correlation and Practical Phase-Shift Modeling. - Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann:
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. - Elena Mikhalkova:
A Russian Jeopardy! Data Set for Question-Answering Systems. - Xu Li, Hongxing Rui:
Longer time simulation of the unsteady Navier-Stokes equations based on a modified convective formulation. - Ishan Tarunesh, Somak Aditya, Monojit Choudhury:
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI. - Chandan Kumar Sheemar, Dirk T. M. Slock:
Per-Link Parallel and Distributed Hybrid Beamforming for Multi-Cell Massive MIMO Millimeter Wave Full Duplex. - Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Efficient Pressure: Improving efficiency for signalized intersections. - Chao Zhang, Samson Lasaulce, Li Wang, Lucas Saludjian, H. Vincent Poor:
A refined consumer behavior model for energy systems: Application to the pricing and energy-efficiency problems. - Zhenxing Mi, Di Chang, Dan Xu:
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo. - Yao Wang, Mihai Bâce, Andreas Bulling:
Scanpath Prediction on Information Visualisations. - Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li:
Overcome Anterograde Forgetting with Cycled Memory Networks. - Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah:
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. - Tamal K. Dey, Tao Hou:
Updating Zigzag Persistence and Maintaining Representatives over Changing Filtrations. - Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng:
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. - Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal:
SITA: Single Image Test-time Adaptation. - Vittorio Lippi, Thomas Mergner, Georg Hettich:
A Bio-inspired Modular System for Humanoid Posture Control. - Sujoy Paul, Ansh Khurana, Gaurav Aggarwal:
Unsupervised Adaptation of Semantic Segmentation Models without Source Data. - Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu:
TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection. - Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu:
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion. - Tugrulcan Elmas, Rebekah Overdorf, Karl Aberer:
Characterizing Retweet Bots: The Case of Black Market Accounts. - Xinlong Sun, Yangyang Qin, Xuyuan Xu, Guoping Gong, Yang Fang, Yexin Wang:
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge. - Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
On the stability and performance of the solution of sparse linear systems by partitioned procedures. - Kangfu Mei, Vishal M. Patel:
LTT-GAN: Looking Through Turbulence by Inverting GANs. - Erin Wolf Chambers, Salman Parsa, Hannah Schreiber:
On Complexity of Computing Bottleneck and Lexicographic Optimal Cycles in a Homology Class. - Luca Varotto, Angelo Cenedese, Andrea Cavallaro:
Active Sensing for Search and Tracking: A Review. - Matthias Gazzari, Annemarie Mattmann, Max Maass, Matthias Hollick:
My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack. - Siddharth D. Jaiswal, Animesh Mukherjee:
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. - Itay Safran, Jason D. Lee:
Optimization-Based Separations for Neural Networks. - Ivan Fedotov, Anton Khritankov, Artem Barger:
Towards automated verification of multi-party consensus protocols. - Renrui Zhang, Longtian Qiu, Wei Zhang, Ziyao Zeng:
VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts. - Antoine Laurain:
Analysis and application of a lower envelope method for sharp-interface multiphase problems. - Elham Anarakifirooz, Sergey Loyka:
Favorable Propagation for Massive MIMO with Circular and Cylindrical Antenna Arrays. - Antonios Katsarakis:
Invalidation-Based Protocols for Replicated Datastores. - Reza Shafiloo, Marjan Kaedi, Ali Pourmiri:
Considering user dynamic preferences for mitigating negative effects of long tail in recommender systems. - Won Kyung Lee, Deuk Sin Kwon, So Young Sohn:
Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction. - Vafa Andalibi, Jayati Dev, DongInn Kim, Eliot Lear, L. Jean Camp:
Making Access Control Easy in IoT. - Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. - Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank D. Julca-Aguilar, Michael S. Langer, Werner Ritter, Felix Heide:
Gated2Gated: Self-Supervised Depth Estimation from Gated Images. - Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau:
Predicting Bandwidth Utilization on Network Links Using Machine Learning. - Edresson Casanova, Julian Weber, Christopher Shulby, Arnaldo Cândido Júnior, Eren Gölge, Moacir Antonelli Ponti:
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone. - Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. - Dariusz R. Kowalski, Dominik Pajak:
Efficient Deterministic Quantitative Group Testing for Precise Information Retrieval. - Md Sadman Sakib, David Paulius, Yu Sun:
Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems. - Tianxiang Tan, Guohong Cao:
Deep Learning on Mobile Devices Through Neural Processing Units and Edge Computing. - Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo:
Fast Graph Neural Tangent Kernel via Kronecker Sketching. - Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen:
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data. - Alex Shonenkov, Daria Bakshandaeva, Denis Dimitrov, Aleksandr Nikolich:
Emojich - zero-shot emoji generation using Russian language: a technical report. - Mengyu Dai, Haibin Hang, Xiaoyang Guo:
Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation. - Hailiang Zhao, Shuiguang Deng, Zhengzhe Xiang, Jianwei Yin:
Online Social Welfare Maximization with Spatio-Temporal Resource Mesh for Serverless. - Danny A. J. Gomez-Ramirez, Yoe A. Herrera-Jaramillo, Florian Geismann:
Artificial Cognitively-inspired Generation of the Notion of Topological Group in the Context of Artificial Mathematical Intelligence. - Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu, Changsheng Xu:
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction. - Roshan Shyamsunder, Lukas Lazarek, Christos Dimoulas, Aleksandar Kuzmanovic:
Multilateral Micro-Monitoring for Internet Streaming. - Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi:
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. - Sergei Manzhos, Manabu Ihara:
Rectangularization of Gaussian process regression for optimization of hyperparameters. - Alan Preciado-Grijalva, Victor Rodrigo Iza-Teran:
Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders. - Jialu Wang, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigon, Andrew Markham:
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. - Benjamin Charles Germain Lee, Trevor Owens:
Grappling with the Scale of Born-Digital Government Publications: Toward Pipelines for Processing and Searching Millions of PDFs. - Namkyeong Lee, Junseok Lee, Chanyoung Park:
Augmentation-Free Self-Supervised Learning on Graphs. - Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar:
Deblurring via Stochastic Refinement. - Asad Ali, Tushin Mallick, Sadman Sakib, Md. Shohrab Hossain, Ying-Dar Lin:
Provisioning Fog Services to 3GPP Subscribers: Authentication and Application Mobility. - Shiva Jahangiri, Michael J. Carey, Johann-Christoph Freytag:
Design Trade-offs for a Robust Dynamic Hybrid Hash Join (Extended Version). - Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
Face Trees for Expression Recognition. - Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian:
Exploring Complicated Search Spaces with Interleaving-Free Sampling. - Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma:
Implicit Neural Deformation for Multi-View Face Reconstruction. - Jinchuan Tian, Jianwei Yu, Chao Weng, Shi-Xiong Zhang, Dan Su, Dong Yu, Yuexian Zou:
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI. - Han Feng, Shao-Bo Lin, Ding-Xuan Zhou:
Radial Basis Function Approximation with Distributively Stored Data on Spheres. - Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao:
Global-Local Context Network for Person Search. - Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding:
A Novel Sequential Coreset Method for Gradient Descent Algorithms. - Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman:
Causal Distillation for Language Models. - Liwei Wang, Zhao Liu, Daicong Da, Yu-Chin Chan, Wei Chen, Ping Zhu:
Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization. - Guoquan Xu, Hezhi Cao, Jianwei Wan, Ke Xu, Yanxin Ma, Cong Zhang:
Adaptive Channel Encoding Transformer for Point Cloud Analysis. - Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma:
Adaptive Channel Encoding for Point Cloud Analysis. - Lluís Alemany-Puig, Juan Luis Esteban, Ramon Ferrer-i-Cancho:
The Linear Arrangement Library. A new tool for research on syntactic dependency structures. - Zhang Zhang, Yifeng Zeng, Yinghui Chen:
Intention Recognition for Multiple Agents. - Rachata Ausavarungnirun, Onur Mutlu:
Energy-Efficient Deflection-based On-chip Networks: Topology, Routing, Flow Control. - Carlos Rodríguez-Pardo, Elena Garces:
Neural Photometry-guided Visual Attribute Transfer. - Bilan Lai, Haoran Xiang, Furao Shen:
Inf-CP: A Reliable Channel Pruning based on Channel Influence. - Zhaoqilin Yang, Gaoyun An:
STSM: Spatio-Temporal Shift Module for Efficient Action Recognition. - Michael Griebel, Guanglian Li, Christian Rieger:
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data. - Shrikant Saxena, Shweta Jain:
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback. - Zheng Xie, Xiaojing Zuo, Yiping Song:
Trivial bundle embeddings for learning graph representations. - Raimund Bürger, Julio Careaga, Stefan Diehl, Romel Pineda:
A moving-boundary model of reactive settling in wastewater treatment. Part 2: Numerical scheme. - Tal Shaharabany, Lior Wolf:
End-to-End Segmentation via Patch-wise Polygons Prediction. - Haifeng Wen, Zi Long Liu, Qu Luo, Chuang Shi, Pei Xiao:
Designing Enhanced Multi-dimensional Constellations for Code-Domain NOMA. - Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. - Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. - Tobias Friedrich, Maximilian Katzmann, Leon Schiller:
Computing Voronoi Diagrams in the Polar-Coordinate Model of the Hyperbolic Plane. - Hing-Lun Chan:
Windmills of the minds: an algorithm for Fermat's Two Squares Theorem. - Geetanjali Bihani:
Interpretable Privacy Preservation of Text Representations Using Vector Steganography. - Shuang Wang, Jian Du:
A comment-driven evidence appraisal approach for decision-making when only uncertain evidence available. - Damla Leblebicioglu, Özgür Atesoglu, Anil E. Derinoz, Melih Çakmakci:
Learning-Based Control Compensation for Multi-Axis Gimbal Systems Using Inverse and Forward Dynamics. - Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
A Novel Approach to Solving Goal-Achieving Problems for Board Games. - Xianliang Ge, Yunxian Pan, Sujie Wang, Linze Qian, Jingjia Yuan, Jie Xu, Nitish V. Thakor, Yu Sun:
Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data. - Li Xu, Zhengchun Zhou, Jun Zhang, Sihem Mesnager:
Optimal quaternary (r, δ)-Locally Recoverable Codes: Their Structures and Complete Classification. - Xin Guo, Yuming Chen, Jian Du, Erdan Dong:
Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements. - Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng:
Learning Tracking Representations via Dual-Branch Fully Transformer Networks. - Leonardo J. Colombo, Manuel de León, Maria Emma Eyrea Irazú, Asier López-Gordón:
Symplectic and Cosymplectic Reduction for simple hybrid forced mechanical systems with symmetries. - Samsil Arefin Mozumder, A. S. M. Sharifuzzaman Sagar:
Smart IoT-Biofloc water management system using Decision regression tree. - Jiayi Chen, Wen Wu, Wei Zheng, Liang He:
Long-Tail Session-based Recommendation from Calibration. - Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao:
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation. - Runkai Yang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic:
Deep-Dive Analysis of Selfish and Stubborn Mining in Bitcoin and Ethereum. - Jiaxuan Xie, Jianxiong Wei, Qingsong Hua, Yu Zhang:
Multiple Interest and Fine Granularity Network for User Modeling. - TianZhang He, Rajkumar Buyya:
A Taxonomy of Live Migration Management in Cloud Computing. - Xingtai Gui:
Simple Adaptive Projection with Pretrained Features for Anomaly Detection. - Yangming Li, Randall A. Bly, Sarah Akkina, Rajeev C. Saxena, Ian Humphreys, Mark Whipple, Kris S. Moe, Blake Hannaford:
Real-time Informative Surgical Skill Assessment with Gaussian Process Learning. - Jiwei Zhang, Yi Yu, Suhua Tang, Jianming Wu, Wei Li:
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval. - Tina Chen, Renran Tian, Yaobin Chen, Joshua E. Domeyer, Heishiro Toyoda, Rini Sherony, Taotao Jing, Zhengming Ding:
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car. - Roopak Surendran:
On Impact of Semantically Similar Apps in Android Malware Datasets. - Jacob Turton, Ali Kabiri, David Tuckett, Robert Elliott Smith, David P. Vinson:
Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts. - Payam Karisani, Negin Karisani, Li Xiong:
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data. - Zih-Syuan Huang, Ching-pei Lee:
Training Structured Neural Networks Through Manifold Identification and Variance Reduction. - David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. - Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. - Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization Improves Vision Transformer. - Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits:
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. - Davide Dell'Anna, Natasha Alechina, Brian Logan, Maarten Löffler, Fabiano Dalpiaz, Mehdi Dastani:
The Complexity of Data-Driven Norm Synthesis and Revision. - Daniel H. M. de Souza, Claudio J. Bordin Jr.:
Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection. - Mausumi Das Nath, Tapalina Bhattasali:
SCMCI: Secured Click and Mortar Commercial Interaction. - Sharat Chandra Madanapalli, Alex Mathai, Hassan Habibi Gharakheili, Vijay Sivaraman:
Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation. - Jashanpreet Singh Sraw, Keshav Kumar:
Using Static and Dynamic Malware features to perform Malware Ascription. - Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. - Dan Ley, Umang Bhatt, Adrian Weller:
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. - Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. - Luke Melas-Kyriazi, Franklyn Wang:
Intrinisic Gradient Compression for Federated Learning. - Jashanpreet Singh Sraw, Deepak M. C:
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems. - Tyrone Machado, David Fassbender, Abdolreza Taheri, Daniel Eriksson, Himanshu Gupta, Amirmasoud Molaei, Paolo Forte, Prashant Rai, Reza Ghabcheloo, Saku Mäkinen, Achim J. Lilienthal, Henrik Andreasson, Marcus Geimer:
Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge. - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. - Benjamin Eliot Klein, Lior Wolf:
Learning Query Expansion over the Nearest Neighbor Graph. - Fangshuo Liao, Anastasios Kyrillidis:
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons. - Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. - Vít Machácek:
Globalization of Scientific Communication: Evidence from authors in academic journals by country of origin. - Christos N. Mavridis, Amoolya Tirumalai, John S. Baras:
Learning Swarm Interaction Dynamics from Density Evolution. - Manuel Bogoya, Sergei M. Grudsky, Stefano Serra-Capizzano, Cristina Tablino Possio:
Fine spectral estimates with applications to the optimally fast solution of large FDE linear systems. - Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks:
BERTMap: A BERT-based Ontology Alignment System. - Manuel Bogoya, Sergei M. Grudsky, Mariarosa Mazza, Stefano Serra-Capizzano:
On the extreme eigenvalues and asymptotic conditioning of a class of Toeplitz matrix-sequences arising from fractional problems. - Zhenhailong Wang, Heng Ji:
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification. - R. S. Pereira, L. Guan, M. Ye, Z. Zhang:
Faster Content Delivery using RSU Caching and Vehicular Pre-caching in Vehicular Networks. - Liubov Tupikina, Frank Schlosser, Vadim Voskresenskii, Katharina Kloppenborg, Florence Lopez, Albrecht Mariz, Anna Mogilevskaja, Muki Haklay, Bastian Greshake Tzovaras:
iNaturalist citizen science community during City Nature Challenge: new computational approach for analysis of user activity. - Aaqib Parvez Mohammed, Matias Valdenegro-Toro:
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning. - Jingwei Hu, Yubo Wang:
An adaptive dynamical low rank method for the nonlinear Boltzmann equation. - Steffen Lewitzka:
Some remarks on semantics and expressiveness of the Sentential Calculus with Identity. - Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. - Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Beyond Robustness: Resilience Verification of Tree-Based Classifiers. - Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. - Abhishek Sharma, Maks Ovsjanikov:
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud. - Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. - Zahra Anvari, Vassilis Athitsos:
A Survey on Deep learning based Document Image Enhancement. - Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao, Marco Heurich:
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery. - Aishwarya Gouru, Shan Suthaharan:
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning. - Arianna Trozze, Bennett Kleinberg, Toby Davies:
Detecting DeFi Securities Violations from Token Smart Contract Code with Random Forest Classification. - Yueqing Sun, Qi Shi, Le Qi, Yu Zhang:
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering. - Jasmin Martin, Jenna Riseley, Jason J. Ford:
A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid. - Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang:
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. - Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang:
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. - Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki, Ken-ichi Yokote, Kenji Nagamatsu:
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization. - Bolin Li, Lijun Zhu:
A new active disturbance controller based on an improved fraction-order extended state observer. - Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. - Dongliang Chang, Kaiyue Pang, Ruoyi Du, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Making a Bird AI Expert Work for You and Me. - Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu:
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning. - Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang:
End-to-end Adaptive Distributed Training on PaddlePaddle. - Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo:
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image. - Zhongda Chu, Fei Teng:
Voltage Stability Constrained Unit Commitment in High IBG-Penetrated Power Systems. - Poornima Mahadevappa, Raja Kumar Murugesan:
Review of Data Integrity Attacks and Mitigation Methods in Edge computing. - Yiming Tang, Allan Spektor, Raffi Khatchadourian, Mehdi Bagherzadeh:
A Tool for Rejuvenating Feature Logging Levels via Git Histories and Degree of Interest. - Chris Cundy, Aditya Grover, Stefano Ermon:
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery. - Yuying Ge, Ruimao Zhang, Ping Luo:
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples. - Wenjie Chu, Shen Li, Chao Chen, Longfei Xu, Hengbin Cui, Kaikui Liu:
A General Framework for Debiasing in CTR Prediction. - Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou:
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. - Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su:
ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation. - Jan Kallberg:
Staring Down the Digital Fulda Gap Path Dependency as a Cyber Defense Vulnerability. - Haojian Jin, Swarun Kumar, Jason I. Hong:
Sensor as a Company: On Self-Sustaining IoT Commons. - Shirley Mae Galindo, Koichiro Ike, Xuefeng Liu:
Error constant estimation under the maximum norm for linear Lagrange interpolation. - Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park:
Real-time Registration and Reconstruction with Cylindrical LiDAR Images. - Doruk Öner, Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. - (Withdrawn) AoI-Constrained Bandit: Information Gathering over Unreliable Channels with Age Guarantees.
- Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Learning Reinforced Dynamic Representations for Sequential Recommendation. - Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu:
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer. - Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, Lan Xu:
HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs. - G. Abarajithan, Chamira U. S. Edussooriya:
Kraken: An Efficient Engine with a Uniform Dataflow for Deep Neural Networks. - Kei Akuzawa, Kotaro Onishi, Keisuke Takiguchi, Kohki Mametani, Koichiro Mori:
Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion. - Jing Lin, Long Dang, Mohamed Rahouti, Kaiqi Xiong:
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks. - Bi-Qiang Mu, Tianshi Chen, Changming Cheng, Er-Wei Bai:
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms. - Li Wei, Chongwen Huang, George C. Alexandropoulos, Wei E. I. Sha, Zhaoyang Zhang, Mérouane Debbah, Chau Yuen:
Multi-User Holographic MIMO Surface: Channel Modeling and Spectral Efficiency Analysis. - Daisuke Ishii, Takashi Tomita, Toshiaki Aoki:
Approximate Translation from Floating-Point to Real-Interval Arithmetic. - Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Representation Learning. - Qi Pang, Yuanyuan Yuan, Shuai Wang:
MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process. - Kyudam Choi, Yurim Lee, Cheongwon Kim, MinSung Yoon:
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction. - Jagtap Kalyani Devendra, Kundan Kandhway:
Mitigating Biological Epidemic on Heterogeneous Social Networks. - Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Sequential Recommendation with Adaptive Preference Disentanglement. - Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. - Qihan Huang, Haofei Zhang, Jie Song, Mingli Song:
A Survey of Deep Learning for Low-Shot Object Detection. - Yaosi Hu, Chong Luo, Zhenzhong Chen:
Make It Move: Controllable Image-to-Video Generation with Text Descriptions. - Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun:
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. - Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung, Chengnian Sun, Shiqing Ma, Yu Jiang:
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network. - Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng:
Letter-level Online Writer Identification. - Ruoyi Du, Dongliang Chang, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. - Rui Yuan, Nam Trong Dinh, Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi:
Optimal activity and battery scheduling algorithm using load and solar generation forecast. - Lielin Jiang, Na Wang, Qingqing Dang, Rui Liu, Baohua Lai:
PP-MSVSR: Multi-Stage Video Super-Resolution. - Thorsten Hoeser, Claudia Kuenzer:
SyntEO: Synthetic Dataset Generation for Earth Observation with Deep Learning - Demonstrated for Offshore Wind Farm Detection. - Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran:
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics. - Tamir Bendory, Chi-yu Cheng, Dan Edidin:
Near-optimal bounds for signal recovery from blind phaseless periodic short-time Fourier transform. - Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. - Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan:
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes:
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. - Yongjune Kim, Yoocharn Jeon, Hyeokjin Choi, Cyril Guyot, Yuval Cassuto:
Optimizing Write Fidelity of MRAMs via Iterative Water-filling Algorithm. - Jianan Zhu, Solmaz S. Kia:
Learning-based Measurement Scheduling for Loosely-Coupled Cooperative Localization. - Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu:
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. - Pengyuan Wang, Fabian Manhardt, Luca Minciullo, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. - Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun:
No-Reference Point Cloud Quality Assessment via Domain Adaptation. - Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox:
Target Entropy Annealing for Discrete Soft Actor-Critic. - Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu:
Reliable Propagation-Correction Modulation for Video Object Segmentation. - William Abramson, William J. Buchanan, Sarwar Sayeed, Nikolaos Pitropakis, Owen Lo:
PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. - Tianyi Lin, Zhengyuan Zhou, Wenjia Ba, Jiawei Zhang:
Optimal No-Regret Learning in Strongly Monotone Games with Bandit Feedback. - Changqing Zhou, Zhipeng Luo, Yueru Luo, Tianrui Liu, Liang Pan, Zhongang Cai, Haiyu Zhao, Shijian Lu:
PTTR: Relational 3D Point Cloud Object Tracking with Transformer. - Shiqi Lin, Zhizheng Zhang, Xin Li, Wenjun Zeng, Zhibo Chen:
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation. - Adrien Durier, Daniel Hirschkoff, Davide Sangiorgi:
Eager Functions as Processes. - Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour:
Nonstochastic Bandits with Composite Anonymous Feedback. - Zhiming Chen, Yong Liu, Xueshuang Xiang:
A high order explicit time finite element method for the acoustic wave equation with discontinuous coefficients. - Zhiguo Huang, Xiaowei Chen, Bojuan Wang:
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks. - Yuanjie Gu, Zhibo Xiao, Hailun Wang, Cheng Liu, Shouyu Wang:
A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion. - Lam Duc Nguyen, Shashi Raj Pandey, Beatriz Soret, Arne Broering, Petar Popovski:
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data. - Mojtaba Ghermezcheshmeh, Vahid Jamali, Haris Gacanin, Nikola Zlatanov:
Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model. - Ike Kunze, Constantin Sander, Klaus Wehrle, Jan Rüth:
Tracking the QUIC Spin Bit on Tofino. - Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach:
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. - Qi Shi, Dong Hao:
Invitation in Crowdsourcing Contests. - Ujjal Kr Dutta:
Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning. - Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. - Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Parameter Efficient Deep Probabilistic Forecasting. - Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li:
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction. - Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi:
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce. - Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire:
Curriculum Meta-Learning for Few-shot Classification. - Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot:
When the Curious Abandon Honesty: Federated Learning Is Not Private. - Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Andreas K. Maier, Ian Marius Peters:
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning. - Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? - Ahmad Asgharian Rezaei, Mahdi Jalili, Hamid Khayyam:
Influential Node Ranking in Complex Networks Using A Randomized DynamicsSensitive Approach. - Nils Schlüter, Matthias Neuhaus, Moritz Schulze Darup:
Encrypted dynamic control with unlimited operating time via FIR filters. - Arghya Bandyopadhyay, Sajal Mukhopadhyay:
Indian Kidney Exchange Program: A Game Theoretic Perspective. - Mesut Karakoç:
AIMpy: A Python code to solve Schrödinger-like equations with the asymptotic iteration method. - Zhitao Wang, Yong Zhou, Litao Hong, Yuanhang Zou, Hanjing Su, Shouzhi Chen:
Pairwise Learning for Neural Link Prediction. - Jasper Denkers, Marvin Brunner, Louis van Gool, Eelco Visser:
Configuration Space Exploration for Digital Printing Systems. - Karl Wienand, Wolfgang M. Heckl:
The artificial synesthete: Image-melody translations with variational autoencoders. - Inhwan Kim, Sarvar Hussain Nengroo, Dongsoo Har:
Reinforcement Learning for Navigation of Mobile Robot with LiDAR. - Anfu Tang, Louise Deléger, Robert Bossy, Pierre Zweigenbaum, Claire Nédellec:
Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction? - Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov:
Automap: Towards Ergonomic Automated Parallelism for ML Models. - Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. - Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu:
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. - Anastasiia Birillo, Ilya Vlasov, Artyom Burylov, Vitalii Selishchev, Artyom Goncharov, Elena Tikhomirova, Nikolay Vyahhi, Timofey Bryksin:
Hyperstyle: A Tool for Assessing the Code Quality of Solutions to Programming Assignments. - Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. - Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Min Zhang:
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing. - Tiago D. Perez, Samuel Pagliarini:
Hardware Trojan Insertion in Finalized Layouts: a Silicon Demonstration. - Guillermo A. Pérez:
Lecture Notes on Partially Known MDPs. - Dmytro Pavlichenko, Sven Behnke:
Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage Model employing One-Step Future Prediction. - Claudius Birke, Christophe Chalons, Christian Klingenberg:
A low Mach two-speed relaxation scheme for the compressible Euler equations with gravity. - Daniele Bartoli, Marco Calderini, Constanza Riera, Pantelimon Stanica:
Low c-differential uniformity for functions modified on subfields. - Cong Wang, Tongwei Lu:
On the complexity of Dark Chinese Chess. - Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. - Qingyun Fang, Zhaokui Wang:
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery. - Xinliang Frederick Zhang:
Towards More Robust Natural Language Understanding. - Ruiyang Qin, Haozheng Luo, Zheheng Fan, Ziang Ren:
IBERT: Idiom Cloze-style reading comprehension with Attention. - Jianping Mei, Yilun Zheng, Qianwei Zhou, Rui Yan:
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification. - Rama Vadapalli, Saharsh Agarwal, Vishnu Kumar, Kartik Suryavanshi, Nagamanikandan Govindan, K. Madhava Krishna:
Modular Pipe Climber III with Three-Output Open Differential. - Shaw-Hwa Lo, Yiqiao Yin:
Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks. - Qing Han, Shubo Tian, Jinfeng Zhang:
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets. - Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel, Chandravaran Kunjeti, Himanshu Lodha, Aman Singh, Aditya Sagi, Shalabh Bhatnagar, Shishir Kolathaya:
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning. - Raphaël Olivier, Bhiksha Raj:
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. - Priya Shukla, Vandana Kushwaha, Gora Chand Nandi:
Development of a robust cascaded architecture for intelligent robot grasping using limited labelled data. - Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Manoj Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang:
GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates. - Sabur Butt, Shakshi Sharma, Rajesh Sharma, Grigori Sidorov, Alexander F. Gelbukh:
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses. - Mehmet Efruz Karabulut, K. Vijay-Shanker, Yifan Peng:
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models. - Khubaib Ahmed Qureshi:
Multi-Class and Automated Tweet Categorization. - Izzat Aldarraji, Ayad Kakei, Ayad Ghany Ismaeel, Georgios Tsaramirsis, Fazal Qudus Khan, Princy Randhawa, Muath Alrammal, Sadeeq Jan:
Takagi-Sugeno Fuzzy Modeling and Control for Effective Robotic Manipulator Motion. - Yan Pan, Mingyang Ma, Bernhard Pflugfelder, Georg Groh:
How to Build Robust FAQ Chatbot with Controllable Question Generator? - Honggen Zhang, June Zhang:
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process. - Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang:
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. - Tai Yang, Shumeng Zhang, Yong Wang, Jialei Liu:
Optimized Deployment of Unmanned Aerial Vehicles for Wildfire Detection and Monitoring. - Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu:
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification. - Aditya Hegde, Jasmine Jerry Aloor, Debasish Ghose:
UAV Formation Preservation for Target Tracking Applications. - Kichang Yang:
Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress. - Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. - Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. - Athena Xiourouppa:
Investigating the Impact of 9/11 on The Simpsons through Natural Language Processing. - Xinxing Wu, Chaoyue Tan, Gül Deniz Çayli, Peide Liu:
On the algebraic structures of the space of interval-valued intuitionistic fuzzy numbers. - Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges:
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. - Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. - Joshua Yee Kim, Tongliang Liu, Kalina Yacef:
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors. - Andrea Tagarelli, Andrea Simeri:
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code. - Uwe Naumann:
Differentiable Scripting. - Reza Soleymanifar, Carolyn L. Beck:
RCP: A Temporal Clustering Algorithm for Real-time Controller Placement in Mobile SDN Systems. - Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff:
Morphing Rectangular Duals. - Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik:
Keeping it Simple: Language Models can learn Complex Molecular Distributions. - Qingyun Fang, Zhaokui Wang:
Fusion Detection via Distance-Decay IoU and weighted Dempster-Shafer Evidence Theory. - Guangming Wang, Jiquan Zhong, Shijie Zhao, Wenhua Wu, Zhe Liu, Hesheng Wang:
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video. - Valentin Poirot, Olaf Landsiedel:
eAFH: Informed Exploration for Adaptive Frequency Hopping in Bluetooth Low Energy. - Aniruddha Mahapatra, Kuldeep Kulkarni:
Controllable Animation of Fluid Elements in Still Images. - Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. - Auguste H. Gezalyan, David M. Mount:
Voronoi Diagrams in the Hilbert Metric. - Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran:
Thinking Beyond Distributions in Testing Machine Learned Models. - Davide Bilò, Katrin Casel, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, J. A. Gregor Lagodzinski, Martin Schirneck, Simon Wietheger:
Fixed-Parameter Sensitivity Oracles. - Shirong Shen, Zhen Li, Guilin Qi:
Active Learning for Event Extraction with Memory-based Loss Prediction Model. - Derek Weitzel, Shawn McKee, Brian Paul Bockelman, John Thiltges, Marian Babik, Ilija Vukotic:
The Service Analysis and Network Diagnosis DataPipeline. - Antonios Antoniadis, Peyman Jabbarzade, Golnoosh Shahkarami:
A Novel Prediction Setup for Online Speed-Scaling. - Hao Wang:
ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data. - Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj:
Learning Generalized Causal Structure in Time-series. - Roland Oruche, Lisa Egede, Tracy Baker, Fearghal O'Donncha:
Transfer learning to improve streamflow forecasts in data sparse regions. - Hao Wang:
MatMat: Matrix Factorization by Matrix Fitting. - Niusha Moshrefi, Mahyar Daneshpajooh, Chen Feng:
LightSync: Ultra Light Client for PoW Blockchains. - Jincheng Dai, Ping Zhang, Kai Niu, Sixian Wang, Zhongwei Si, Xiaoqi Qin:
Semantic Coded Transmission: Architecture, Methodology, and Challenges. - Jiaxi Gu, Xinjuan Chen, Jae-Hun Jung:
Fifth-order Z-type weighted essentially non-oscillatory schemes for hyperbolic conservation laws. - Martin Klissarov, Doina Precup:
Flexible Option Learning. - Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu:
VocBench: A Neural Vocoder Benchmark for Speech Synthesis. - Nico Gürtler, Dieter Büchler, Georg Martius:
Hierarchical Reinforcement Learning with Timed Subgoals. - Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter:
Keyword Assisted Embedded Topic Model. - Satoshi Kume, Kouji Kozaki:
Extracting Domain-specific Concepts from Large-scale Linked Open Data. - Janek Bevendorff, Martin Potthast, Benno Stein:
FastWARC: Optimizing Large-Scale Web Archive Analytics. - Judicael Poumay, Ashwin Ittoo:
HTMOT : Hierarchical Topic Modelling Over Time. - Bernard Kleynhans, Xin Wang, Serdar Kadioglu:
Active Learning Meets Optimized Item Selection. - Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen:
General Facial Representation Learning in a Visual-Linguistic Manner. - Negar Rostamzadeh, Emily Denton, Linda Petrini:
Ethics and Creativity in Computer Vision. - Lea M. Versbach, Philipp Birken, Viktor Linders, Gregor Gassner:
Local Fourier Analysis of a Space-Time Multigrid Method for DG-SEM for the Linear Advection Equation. - Vladimir A. Dorodnitsyn, Evgenii I. Kaptsov:
Invariant finite-difference schemes with conservation laws preservation for one-dimensional MHD equations. - Andong Luis Li Zhao, Andrew Paley, Rachel F. Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, Kristian J. Hammond:
Requirements for Open Political Information: Transparency Beyond Open Data. - Sebastian Forster, Tijn de Vos:
Faster Cut Sparsification of Weighted Graphs. - Xiang Rao, Yina Liu, Hui Zhao:
An Upwind Generalized Finite Difference Method for Meshless Solution of Two-phase Porous Flow Equations. - Marien-Lorenzo Hanot:
An arbitrary-order fully discrete Stokes complex on general polygonal meshes. - Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. - Chunlin Ji, Hanchun Shen, Zhan Xiong, Feng Chen, Meiying Zhang, Huiwen Yang:
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning. - Raiyan Abdul Baten, Richard N. Aslin, Gourab Ghoshal, Ehsan Hoque:
Creativity in social networks is enhanced by 'Goldilocks' dispersal of ideators' visibility. - Xu Ji, Lena Nehale-Ezzine, Maksym Korablyov:
Properties of Minimizing Entropy. - Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin:
Diffusion Models for Implicit Image Segmentation Ensembles. - Julien Brosseit, Benedikt Hahner, Fabio Muratore, Michael Gienger, Jan Peters:
Distilled Domain Randomization. - Haoran Xu, Sixing Lu, Zhongkai Sun, Chengyuan Ma, Chenlei Guo:
VAE based Text Style Transfer with Pivot Words Enhancement Learning. - Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei:
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks. - Guillaume Couairon, Matthieu Cord, Matthijs Douze, Holger Schwenk:
Embedding Arithmetic for Text-driven Image Transformation. - Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti:
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization. - Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle:
Feature Disentanglement of Robot Trajectories. - Aditya Kanade, Mansi Sharma, M. Manivannan:
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture. - Raghav Rawat, Shreyash Gupta, Shreyas Mohapatra, Sujata Priyambada Mishra, Sreesankar Rajagopal:
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach. - Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling:
Player of Games. - Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, Leilani Battle:
User-Driven Programming Support for Rapid Visualization Authoring in D3. - Pablo Antolin, Annalisa Buffa, Emiliano Cirillo:
Region extraction in mesh intersection. - Vincent Froese, Leon Kellerhals, Rolf Niedermeier:
Modification-Fair Cluster Editing. - Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
HIVE: Evaluating the Human Interpretability of Visual Explanations. - Nir Zabari, Yedid Hoshen:
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples. - Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Ioan Todinca:
A Meta-Theorem for Distributed Certification. - Shang Liu, Xiaocheng Li:
Online Bin Packing with Known T. - Dehao Tao, Yingzhu Xiong, Jin He, Skevin, Yongfeng Huang:
An unsupervised extractive summarization method based on multi-round computation. - Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas:
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. - Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles:
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression. - Benjamin Jauregui, Pedro Montealegre, Ivan Rapaport:
Distributed Interactive Proofs for the Recognition of Some Geometric Intersection Graph Classes. - Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer:
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings. - Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen:
Contextual Bandit Applications in Customer Support Bot. - Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Physically Consistent Neural Networks for building thermal modeling: theory and analysis. - Ruan Chaves Rodrigues, Marcelo Akira Inuzuka, Juliana Resplande Sant'Anna Gomes, Acquila Santos Rocha, Iacer Calixto, Hugo Alexandre Dantas do Nascimento:
Zero-shot hashtag segmentation for multilingual sentiment analysis. - Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, Guillaume Lajoie:
Multi-scale Feature Learning Dynamics: Insights for Double Descent. - Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka:
Text2Mesh: Text-Driven Neural Stylization for Meshes. - Amir Abboud, MohammadHossein Bateni, Vincent Cohen-Addad, Karthik C. S., Saeed Seddighin:
On Complexity of 1-Center in Various Metrics. - Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif:
Context-Aware Transfer Attacks for Object Detection. - Oier Mees, Lukás Hermann, Erick Rosete-Beas, Wolfram Burgard:
CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks. - Benjamin Mastripolito, Nicholas Koskelo, Dylan Weatherred, David A. Pimentel, Daniel Sheppard, Anna Pietarila Graham, Laura Monroe, Robert Robey:
SIMD-Optimized Search Over Sorted Data. - Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch:
Traversing Time with Multi-Resolution Gaussian Process State-Space Models. - Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. - Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. - Maan Qraitem, Bryan A. Plummer:
Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection. - Vanessa Massaro, Swarup Dhar, Darakhshan Mir, Nathan C. Ryan:
Analyzing a Carceral Algorithm used by the Pennsylvania Department of Corrections. - Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii:
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey. - Stefan Felsner, Andrew Nathenson, Csaba D. Tóth:
Aspect Ratio Universal Rectangular Layouts. - Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman:
Input-level Inductive Biases for 3D Reconstruction. - Daniele Avitabile:
Projection methods for Neural Field equations. - Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
GAM Changer: Editing Generalized Additive Models with Interactive Visualization. - Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. - Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. - Sagnik Saha, Manish Purohit:
NP-completeness of the Active Time Scheduling Problem. - Kevin Alex Mathews, Michael Strube:
Impact of Target Word and Context on End-to-End Metonymy Detection. - Alexander C. Li, Deepak Pathak:
Functional Regularization for Reinforcement Learning via Learned Fourier Features. - Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. - Zhilong Xiong, Jia Cai:
Multi-scale Graph Convolutional Networks with Self-Attention. - Yang Li, Meng Zhang, Chen Chen:
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems. - Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis:
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. - Edmond Adib, Fatemeh Afghah, John J. Prevost:
Synthetic ECG Signal Generation Using Generative Neural Networks. - Mohammad Imrul Jubair, Arafat Ibne Yousuf, Tashfiq Ahmed, Hasanath Jamy, Foisal Reza, Mohsena Ashraf:
DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for Educators. - Tamara Broderick, Andrew Gelman, Rachael Meager, Anna L. Smith, Tian Zheng:
Toward a Taxonomy of Trust for Probabilistic Machine Learning. - Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. - Zhuoling Li, Gaowei Zhang, Lingyu Xu, Jie Yu:
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling. - Sangkeum Lee, Hojun Jin, Sarvar Hussain Nengroo, Yoonmee Doh, Chungho Lee, Taewook Heo, Dongsoo Har:
Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder. - Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner:
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. - Huda Ali Alatwi, Charles Morisset:
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review. - Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: Meta-Learning Useful Conserved Quantities. - Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray:
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. - Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. - Hichem Sahbi:
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition. - Yuriy Dementiev, Fedor V. Fomin, Artur Ignatiev:
Inconsistent Planning: When in doubt, toss a coin! - Abigail Hickok:
A Family of Density-Scaled Filtered Complexes. - Tianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Dense and well-connected subgraph detection in dual networks. - Liang Xu, Muhammad Zakwan, Giancarlo Ferrari-Trecate:
Neural Energy Casimir Control. - Yiren Jian, Lorenzo Torresani:
Label Hallucination for Few-Shot Classification. - Marc-Antoine Beaudoin, Benoit Boulet:
Learning-based synthesis of robust linear time-invariant controllers. - Alla R. Kammerdiner, Alexander Semenov, Eduardo Pasiliao:
Multidimensional Assignment Problem for multipartite entity resolution. - Marc-Antoine Beaudoin, Benoit Boulet:
Structured learning of safety guarantees for the control of uncertain dynamical systems. - Xi Li, Zhen Xiang, David J. Miller, George Kesidis:
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. - Gabrielle Watson, Zahra Khanjani, Vandana P. Janeja:
Audio Deepfake Perceptions in College Going Populations. - Tica Lin, Yalong Yang, Johanna Beyer, Hanspeter Pfister:
Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching. - Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles:
Associative Memories Using Complex-Valued Hopfield Networks Based on Spin-Torque Oscillator Arrays. - Noopa Jagadeesh, Miguel Vargas Martin:
Alice in Passphraseland: Assessing the Memorability of Familiar Vocabularies for System-Assigned Passphrases. - Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Jorge Ortiz:
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams. - Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally:
Scalable Geometric Deep Learning on Molecular Graphs. - Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping. - Michael G. Rawson, Radu Balan:
Convergence Guarantees for Deep Epsilon Greedy Policy Learning. - Marius Hofert, Avinash Prasad, Mu Zhu:
RafterNet: Probabilistic predictions in multi-response regression. - André Ofner, Sebastian Stober:
Differentiable Generalised Predictive Coding. - Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Efficient Continuous Manifold Learning for Time Series Modeling. - Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani:
Graph Neural Networks Accelerated Molecular Dynamics. - Michael James McDonald, Dylan Hadfield-Menell:
Guided Imitation of Task and Motion Planning. - Ria Rushin Joseph, Jesse van Rhijn, Peter D. Drummond:
A hybrid projection algorithm for stochastic differential equations on manifolds. - Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan:
Manas: Mining Software Repositories to Assist AutoML. - Joel Mackenzie, Matthias Petri, Alistair Moffat:
A Sensitivity Analysis of the MSMARCO Passage Collection. - Daniel P. M. de Mello, Renato Assunção, Fabricio Murai:
Top-Down Deep Clustering with Multi-generator GANs. - Xiran Fan, Chun-Hao Yang, Baba C. Vemuri:
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. - Xuwei Tan, Yangming Zhou, Zhang-Hua Fu, Mengchu Zhou:
Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems. - Chun Yang:
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis. - Yunqiang Li, Silvia L. Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. - Meghna Chakraborty, Timothy Gates, Subhrajit Sinha:
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms. - Roozbeh Yousefzadeh, Jessica A. Mollick:
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models. - Mohammad Alali, Shaayan Syed, Mohammed Alsayed, Smit Patel, Hemanth Bodala:
JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction. - Sergio Manuel Papadakis, Sanjay Addicam:
Producing augmentation-invariant embeddings from real-life imagery. - Xiang Guo, Austin Angulo, Erin Robartes, T. Donna Chen, Arsalan Heydarian:
ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior Through Immersive Virtual Environments. - Brett Daley, Christopher Amato:
Virtual Replay Cache. - Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca:
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision. - Petr Hruby, Timothy Duff, Anton Leykin, Tomás Pajdla:
Learning to Solve Hard Minimal Problems. - Chaïmaa Benabbou, Önder Gürcan:
A Survey of Verification, Validation and Testing Solutions for Smart Contracts. - Francisco Guillén-González, Giordano Tierra:
Finite Element numerical schemes for a chemo-attraction and consumption model. - Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson:
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. - Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale:
Campaign Knowledge Network: Building Knowledge for Campaign Efficiency. - Lantao Yu, Yujia Jin, Stefano Ermon:
A Unified Framework for Multi-distribution Density Ratio Estimation. - Morris Yau:
Approximating Nash Equilibrium in Random Graphical Games. - Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia:
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. - Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi:
Locally Differentially Private Sparse Vector Aggregation. - Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand:
Do explanations increase the effectiveness of AI-crowd generated fake news warnings? - Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu:
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images. - Evita Bakopoulou, Jiang Zhang, Justin Ley, Konstantinos Psounis, Athina Markopoulou:
Location Leakage in Federated Signal Maps. - Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou:
Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. - Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
A Novel Convergence Analysis for Algorithms of the Adam Family. - Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
GraphPAS: Parallel Architecture Search for Graph Neural Networks. - Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi, Ahmed Metwally:
SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent items in the Bounded Deletion Model. - Peyman Tehrani, Francesco Restuccia, Marco Levorato:
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. - Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao:
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks. - Furkan Luleci, Liangding Li, Jiapeng Chi, Dirk Reiners, Carolina Cruz-Neira, Fikret Necati Catbas:
Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment. - Jiahao Ma, Jinguang Tong, Shan Wang, Wei Zhao, Liang Zheng, Chuong Nguyen:
Voxelized 3D Feature Aggregation for Multiview Detection. - Thong Nguyen, Luu Anh Tuan:
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation. - Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. - Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Zhenman Fang, Lesley Shannon:
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks. - Furkan Luleci, F. Necati Catbas, Onur Avci:
Generative Adversarial Networks for Labeled Data Creation for Structural Monitoring and Damage Detection. - Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash:
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. - Justin Cai, Rafael M. Frongillo:
Computational complexity of problems for deterministic presentations of sofic shifts. - Dale Decatur, Sanjay Krishnan:
VizExtract: Automatic Relation Extraction from Data Visualizations. - Lin Guan, Xia Xiao, Ming Chen, Youlong Cheng:
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers. - Yucheng Shi, Yahong Han:
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. - Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. - Fahim Faisal, Yinkai Wang, Antonios Anastasopoulos:
Dataset Geography: Mapping Language Data to Language Users. - Cazamere Comrie, Jon M. Kleinberg:
Hypergraph Ego-networks and Their Temporal Evolution. - Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. - Meng Xia, Yankun Zhao, Mehmet Hamza Erol, Jihyeong Hong, Juho Kim:
Understanding Distributed Tutorship in Online Language Tutoring. - Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu:
A Generic Approach for Enhancing GANs by Regularized Latent Optimization. - Renmeng Cao, Xiaoke Xu, Yunxue Cui, Zhizhao Fang, Xianwen Wang:
How do scientific papers with different levels of journals spread online? Exploring the temporal dynamics in the diffusion processes. - Han Zhao, Lei Guo:
Model-free Nearly Optimal Control of Constrained-Input Nonlinear Systems Based on Synchronous Reinforcement Learning. - Ruidong Han, Chao Yang, Siqi Ma, Jianfeng Ma, Cong Sun, Juanru Li, Elisa Bertino:
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search. - Rohan Deb, Shalabh Bhatnagar:
N-Timescale Stochastic Approximation: Stability and Convergence. - Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo:
CG-NeRF: Conditional Generative Neural Radiance Fields. - Yurim Lee, Gydam Choi, MinSung Yoon, Cheongwon Kim:
Genetic Algorithm for Constrained Molecular Inverse Design. - Yichen Huang, Yuchen Wang, Yik-Cheung Tam:
UNITER-Based Situated Coreference Resolution with Rich Multimodal Input. - Lixia Yan:
Distributed Containment Reference Signal for Nonholonomic Planar Vehicles. - Sumit Mishra, Praveen Kumar Rajendran, Dongsoo Har:
Socially acceptable route planning and trajectory behavior analysis of personal mobility device for mobility management with improved sensing. - Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh:
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets. - Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin:
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. - Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. - Lichin Chen, Ji-Tian Sheu, Yuh-Jue Chuang, Yu Tsao:
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks. - Francesco D'Amore, Isabella Ziccardi:
Phase Transition of the 3-Majority Dynamics with Uniform Communication Noise. - Fang Zhou, Linyuan Lü, Jianguo Liu, Manuel Sebastian Mariani:
Predicting peer-to-peer and collective social contagion from individual behaviour. - Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang:
Self-Organized Polynomial-Time Coordination Graphs. - Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang:
GaTector: A Unified Framework for Gaze Object Prediction. - Sarvar Hussain Nengroo, Sangkeum Lee, Hojun Jin, Dongsoo Har:
Optimal Scheduling of Energy Storage for Power System with Capability of Sensing Short-term Future PV Power Production. - Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. - Binh Minh Le, Simon S. Woo:
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. - Kevin Lin, Brian Huo, Megan Hu:
Combining optimal control and learning for autonomous aerial navigation in novel indoor environments. - Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell:
Federated Causal Discovery. - Sungjae Cho, Soo-Young Lee:
Multi-speaker Emotional Text-to-speech Synthesizer. - Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. - Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun:
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification. - Rodolphe Sepulchre:
Spiking Control Systems. - Ivan Bondarenko:
More layers! End-to-end regression and uncertainty on tabular data with deep learning. - Jinyang Yuan, Bin Li, Xiangyang Xue:
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints. - Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, Florian Tramèr:
Membership Inference Attacks From First Principles. - Muhammad Azeem, Shumaila Javaid, Hamza Fahim, Nasir Saeed:
Neural Networks for Infectious Diseases Detection: Prospects and Challenges. - Hariom A. Pandya, Brijesh S. Bhatt:
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices. - Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg:
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. - Serena Raju, Sherin Shibu, Riya Mol Raji, Joel Thomas:
Pragmatic Implementation of Reinforcement Algorithms For Path Finding On Raspberry Pi. - Swapan Kumar Patra:
Disability and Library Services: Global Research Trend. - James Fullwood:
On a 2-relative entropy. - Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. - François Charton, Amaury Hayat, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli:
A deep language model to predict metabolic network equilibria. - Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding:
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition. - Joel Jonsson, Bevan L. Cheeseman, Suryanarayana Maddu, Krzysztof Gonciarz, Ivo F. Sbalzarini:
Parallel Discrete Convolutions on Adaptive Particle Representations of Images. - Mahdi Abolghasemi, Rasul Esmaeilbeigi:
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge. - Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo:
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. - Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang:
Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning. - Meral Kiliçarslan Ouach, Tolga Eren, Evrencan Özcan:
PRM path smoothening by circular arc fillet method for mobile robot navigation. - Raymond R. Devillers, Ronny Tredup:
Some Basic Techniques allowing Petri Net Synthesis: Complexity and Algorithmic Issues. - Raymond R. Devillers, Ronny Tredup:
Synthesis of Pure and Impure Petri nets With Restricted Place-environments: Complexity Issues. - Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns:
Predict and Optimize: Through the Lens of Learning to Rank. - Li-Hsiang Shen, Chia-Lin Tsai, Chia-Yu Wang, Kai-Ten Feng:
Hybrid Controlled User Association and Resource Management for Energy-Efficient Green RANs with Limited Fronthaul. - Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu:
DCAN: Improving Temporal Action Detection via Dual Context Aggregation. - Alex Bogun, Dimche Kostadinov, Damian Borth:
Saliency Diversified Deep Ensemble for Robustness to Adversaries. - Weizhu Bao, Yue Feng, Jia Yin:
Improved uniform error bounds on time-splitting methods for the long-time dynamics of the Dirac equation with small potentials. - Oleg Smirnov, Ameya Ketkar, Timofey Bryksin, Nikolaos Tsantalis, Danny Dig:
IntelliTC: Automating Type Changes in IntelliJ IDEA. - Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Permutation Equivariant Generative Adversarial Networks for Graphs. - Simon Jenni, Hailin Jin:
Time-Equivariant Contrastive Video Representation Learning. - Rob van der Goot, Miryam de Lhoneux:
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings. - Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong:
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. - Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors. - Naman Paharia, Muhammad Syafiq Mohd Pozi, Adam Jatowt:
Change Summarization of Diachronic Scholarly Paper Collections by Semantic Evolution Analysis. - Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Godot Reinforcement Learning Agents. - Yao Fu, Mirella Lapata:
Scaling Structured Inference with Randomization. - Rui Wang, Chengtun Wu, Jiawen Xin, Liang Zhang:
Gram-SLD: Automatic Self-labeling and Detection for Instance Objects. - Yansong Wang, Xiaomeng Wang, Tao Jia:
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks. - Costanza Armanini, Conor Messer, Anup Teejo Mathew, Frédéric Boyer, Christian Duriez, Federico Renda:
Soft Robots Modeling: a Literature Unwinding. - Shoubin Yu, Zhongyin Zhao, Haoshu Fang, Andong Deng, Haisheng Su, Dongliang Wang, Weihao Gan, Cewu Lu, Wei Wu:
Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection. - Huajun Zhou, Peijia Chen, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie:
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection. - Matthew Pickering, Andres Löh, Nicolas Wu:
A Specification for Typed Template Haskell. - Katrine Tjell, Nils Schlüter, Philipp Binfet, Moritz Schulze Darup:
Secure learning-based MPC via garbled circuit. - Håvard Bakke Bjerkevik:
Tighter bounds for reconstruction from ε-samples. - Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan:
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. - Rihui Sun, Pefei Qiu, Yongqiang Lyu, Dongsheng Wang, Jiang Dong, Gang Qu:
Lightning: Striking the Secure Isolation on GPU Clouds with Transient Hardware Faults. - Jiabao He, Xuan Zhang, Feng Xu, Junbo Tan, Xueqian Wang:
Data-Driven Controllability Analysis and Stabilization for Linear Descriptor Systems. - Huiling Zhou, Jie Liu, Zhikang Li, Jin Yu, Hongxia Yang:
Cross-domain User Preference Learning for Cold-start Recommendation. - Birgitta Dresp-Langley:
On Information Processing Limitations In Humans and Machines. - Saman Khamesian, Hamed Malek:
Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm. - Pierre Bouvier:
The VLSAT-3 Benchmark Suite. - Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
Domain Generalization via Progressive Layer-wise and Channel-wise Dropout. - Tianrong Lin:
On Baker-Gill-Solovay Oracle Turing Machines and Relativization Barrier. - Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani:
Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? - A Case Study using Dual Energy CT Data. - Huanzhuo Wu, Jia He, Máté Tömösközi, Zuo Xiang, Frank H. P. Fitzek:
In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks. - Moustafa Elkolali, Ahmed Al-Tawil, Lennard Much, Ryan Schrader, Olivier Masset, Marina Sayols, Andrew Jenkins, Sara Alonso, Alfredo Raúl Carella, Alex Alcocer:
A low-cost wave-solar powered Unmanned Surface Vehicle. - Bo-Shiuan Chu, Che-Rung Lee:
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization. - Christopher Gorog, Terrance E. Boult:
Blockchain Synchronous Trust Consensus Model. - Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. - Colin Troisemaine, Vincent Lemaire:
Construction de variables à l'aide de classifieurs comme aide à la régression. - Nasreen Fathima, Akshara Pramod, Yash Srivastava, Anusha Maria Thomas, S. P. Syed Ibrahim, K. R. Chandran:
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System. - Bahavathy Kathirgamanathan, Padraig Cunningham:
Correlation Based Feature Subset Selection for Multivariate Time-Series Data. - Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira:
CapsProm: A Capsule Network For Promoter Prediction. - Huiwen Wang, Yanwen Zhang, Jichang Zhao:
Enhancing the SVD Compression. - Jen-Chieh Yang, Jia-Yan Wu, Sung-Ping Chang, Ya-Chieh Huang:
GKS: Graph-based Knowledge Selector for Task-oriented Dialog System. - Sebastian Buschjäger, Sibylle Hess, Katharina Morik:
Shrub Ensembles for Online Classification. - Cong Yu, Zhi Wu, Dongheng Zhang, Zhi Lu, Yang Hu, Yan Chen:
RFGAN: RF-Based Human Synthesis. - Jinhyung Park, Dohae Lee, In-Kwon Lee:
Flexible Networks for Learning Physical Dynamics of Deformable Objects. - Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks. - Valentin Mercier, Serge Gratton, Pierre Boudier:
A coarse space acceleration of deep-DDM. - Pascal Mattia Esser, Frank Nielsen:
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds. - Chong Zhang, Qi Wu, Liqian Ma, Hongyuan Su:
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References. - Justin Le Louëdec, Grzegorz Cielniak:
Gaussian map predictions for 3D surface feature localisation and counting. - Congcong Wang, David Lillis:
UCD-CS at TREC 2021 Incident Streams Track. - Lucas de Oliveira Prates:
A more efficient algorithm to compute the Rand Index for change-point problems. - Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier:
Dilated convolution with learnable spacings. - Nikolas Nüsken, Lorenz Richter:
Interpolating between BSDEs and PINNs - deep learning for elliptic and parabolic boundary value problems. - Hyun Jun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam:
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. - Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill:
Tell me why! - Explanations support learning of relational and causal structure. - Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. - Siqi Zhou, Karime Pereida, Wenda Zhao, Angela P. Schoellig:
Bridging the Model-Reality Gap with Lipschitz Network Adaptation. - Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone:
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. - Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Felix Fischer, Petko Georgiev, Alex Goldin, Tim Harley, Felix Hill, Peter Conway Humphreys, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Hamza Merzic, Alistair Muldal, Adam Santoro, Guy Scully, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. - Adam Hartwell, Felipe Montana, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark:
In-flight Novelty Detection with Convolutional Neural Networks. - Hongfu Yang, Xiaoyue Li:
Explicit approximations for nonlinear switching diffusion systems in finite and infinite horizons. - John T. Holodnak, Allan B. Wollaber:
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks. - Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski:
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. - Orestis Papakyriakopoulos, Elizabeth Anne Watkins, Amy A. Winecoff, Klaudia Jazwinska, Tithi Chattopadhyay:
Qualitative Analysis for Human Centered AI. - Anders Aamand, Mikkel Abrahamsen, Lorenzo Beretta, Linda Kleist:
Online Sorting and Translational Packing of Convex Polygons. - Marco Secondini, Stella Civelli, Enrico Forestieri, Lareb Zar Khan:
New Lower Bounds on the Capacity of Optical Fiber Channels via Optimized Shaping and Detection. - Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu:
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay. - Samuel A. Barnett, Robert D. Hawkins, Thomas L. Griffiths:
A pragmatic account of the weak evidence effect. - Manlin Zhang, Jinpeng Wang, Andy J. Ma:
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning. - Gabriele Farina, Tuomas Sandholm:
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. - Max van Meer, Maurice Poot, Jim Portegies, Tom Oomen:
Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction. - Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. - Prasanna Parasurama:
raceBERT - A Transformer-based Model for Predicting Race and Ethnicity from Names. - Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl:
Automated Story Generation as Question-Answering. - Meng Yao, Qiyue Yin, Jun Yang, Tongtong Yu, Shengqi Shen, Junge Zhang, Bin Liang, Kaiqi Huang:
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. - Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Nassir Navab, Benjamin Busam:
Polarimetric Pose Prediction. - Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar:
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. - Edoardo Arnaudo, Fabio Cermelli, Antonio Tavera, Claudio Rossi, Barbara Caputo:
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images. - Simone Cerrato, Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge:
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops. - Gideon Billings, Richard Camilli, Matthew Johnson-Roberson:
Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems. - Andriy Mazayev, Faroq Al-Tam, Noélia Correia:
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks. - Youngjune Lee, Oh Joon Kwon, Haeju Lee, Joonyoung Kim, Kangwook Lee, Kee-Eung Kim:
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI. - Hans Heum:
Stupid, Evil, or Both? Understanding the Smittestopp conflict. - Elena Garces, Carlos Rodríguez-Pardo, Dan Casas, Jorge Lopez-Moreno:
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond. - Manas Jain, Sriparna Saha, Pushpak Bhattacharyya, Gladvin Chinnadurai, Manish Kumar Vatsa:
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction. - Yunlong Song, Davide Scaramuzza:
Policy Search for Model Predictive Control with Application to Agile Drone Flight. - Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
Stochastic Optimized Schwarz Methods for the Gravity Equations on Graphics Processing Unit. - Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. - Darsh J. Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer:
Reducing Target Group Bias in Hate Speech Detectors. - Dongzhuo Li, Huseyin Denli:
Traversing within the Gaussian Typical Set: Differentiable Gaussianization Layers for Inverse Problems Augmented by Normalizing Flows. - Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala:
Universalizing Weak Supervision. - Andrew Marc Greene:
Towards a Shared Rubric for Dataset Annotation. - Kristina Sekrst, Sandro Skansi:
Is Complexity Important for Philosophy of Mind? - Elias Grünewald, Frank Pallas:
Datensouveränität für Verbraucher: innen: Technische Ansätze durch KI-basierte Transparenz und Auskunft im Kontext der DSGVO. - Mallika Subramanian, Shradha Sehgal, Nimmi Rangaswamy:
From Assistants to Friends: Investigating Emotional Intelligence of IPAs in Hindi and English. - Jingrong Wang, Ben Liang:
Gradient and Projection Free Distributed Online Min-Max Resource Optimization. - Ilias Zadik, Min Jae Song, Alexander S. Wein, Joan Bruna:
Lattice-Based Methods Surpass Sum-of-Squares in Clustering. - Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine:
Information is Power: Intrinsic Control via Information Capture. - Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond:
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. - Rami Masri, Chen Liu, Beatrice Riviere:
Improved a priori error estimates for a discontinuous Galerkin pressure correction scheme for the Navier-Stokes equations. - Srijan Das, Michael S. Ryoo:
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. - Srijan Das, Michael S. Ryoo:
STC-mix: Space, Time, Channel mixing for Self-supervised Video Representation. - Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan:
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. - Mohammad Reza Samsami, Mohammadhossein Bahari, Saber Salehkaleybar, Alexandre Alahi:
Causal Imitative Model for Autonomous Driving. - Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Mohammad Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Vehicle trajectory prediction works, but not everywhere. - Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan:
RID-Noise: Towards Robust Inverse Design under Noisy Environments. - Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri:
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. - Marius Memmel, Christoph Reich, Nicolas Wagner, Faraz Saeedan:
Scalable 3D Semantic Segmentation for Gun Detection in CT Scans. - Matthew J. Colbrook, Andrew Horning, Kyle Thicke, Alexander B. Watson:
Computing spectral properties of topological insulators without artificial truncation or supercell approximation. - Joseph F. Comer, Philip L. Jacobson, Heiko Hoffmann:
Few-Shot Image Classification Along Sparse Graphs. - Pascal Mattia Esser, Leena C. Vankadara, Debarghya Ghoshdastidar:
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks. - Dieter Teichrib, Moritz Schulze Darup:
Tailored neural networks for learning optimal value functions in MPC. - Dmitriy Morozov, Amit K. Patel:
Output-sensitive Computation of Generalized Persistence Diagrams for 2-filtrations. - Karthik C. S., Subhash Khot:
Almost Polynomial Factor Inapproximability for Parameterized k-Clique. - Arpit Mittal, Jeel Tejaskumar Vaishnav, Aishwarya Kaliki, Nathan Johns, Wyatt Pease:
Emotion-Cause Pair Extraction in Customer Reviews. - Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi:
Accelerating jackknife resampling for the Canonical Polyadic Decomposition. - Martin Stufi, Boris Bacic:
Designing a Real-Time IoT Data Streaming Testbed for Horizontally Scalable Analytical Platforms: Czech Post Case Study. - Yuege Xie, Bobby Shi, Hayden Schaeffer, Rachel A. Ward:
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. - Jinho Choi:
Data-aided Sensing where Communication and Sensing Meet: An Introduction. - Ioannis G. Kiachidis, Dimitrios A. Baltatzis:
Comparative Review of Malware Analysis Methodologies. - Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne:
Multinational Address Parsing: A Zero-Shot Evaluation. - Amirhossein Dadashzadeh, Alan L. Whone, Majid Mirmehdi:
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation. - Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei:
Unsupervised Representation Learning via Neural Activation Coding. - Hai Phan, Anh Nguyen:
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification. - Karl Godard, Zachary P. Neal:
fastball: A fast algorithm to sample binary matrices with fixed marginals. - Hongwei Zhu, Minjia Shi:
The b-symbol weight hierarchy of the Kasami codes. - Nana Kankam Gyimah, Abenezer Girma, M. Nabil Mahmoud, Shamila Nateghi, Abdollah Homaifar, Daniel Opoku:
A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection. - Nikos Aréchiga, Francine Chen, Yan-Ying Chen, Yanxia Zhang, Rumen Iliev, Heishiro Toyoda, Kent Lyons:
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression. - Yisi Sang, Jeffrey M. Stanton:
The Origin and Value of Disagreement Among Data Labelers: A Case Study of the Individual Difference in Hate Speech Annotation. - Jasper Müller, Tobias Fehenberger, Sai Kireet Patri, Kaida Kaeval, Helmut Griesser, Marko Tikas, Jörg-Peter Elbers:
Estimating Quality of Transmission in a Live Production Network using Machine Learning. - Zheng Dai, David K. Gifford:
Image classifiers can not be made robust to small perturbations. - James C. R. Whittington, Joseph Warren, Timothy Edward John Behrens:
Relating transformers to models and neural representations of the hippocampal formation. - Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. - Sharmin Afrose, Ya Xiao, Sazzadur Rahaman, Barton P. Miller, Danfeng Yao:
Evaluation of Static Vulnerability Detection Tools with Java Cryptographic API Benchmarks. - Jalil Nourmohammadi-Khiarak:
Presentation Attack Detection Methods based on Gaze Tracking and Pupil Dynamic: A Comprehensive Survey. - Jasper Müller, Sai Kireet Patri, Tobias Fehenberger, Carmen Mas Machuca, Helmut Griesser, Jörg-Peter Elbers:
A QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications. - Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou:
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. - Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. - Fardad Vakilipoor, Marco Ferrari, Maurizio Magarini:
Asymptotic MIMO Channel Model for Diffusive MC with Fully-absorbing Receivers. - Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
GPCO: An Unsupervised Green Point Cloud Odometry Method. - Juncai Pu, Yong Chen:
Data-driven forward-inverse problems for Yajima-Oikawa system using deep learning with parameter regularization. - Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations. - Walid R. Issa, Rashid Albadwawi, Tedjani Mesbahi, Mohammad A. Abusara:
Nanogrid Power Management Based on Fuzzy Logic Controller. - Li-Hsiang Shen, Chia-Yu Su, Kai-Ten Feng:
CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology based 5G-NR Networks. - Albert Wilcox, Justin Kerr, Brijen Thananjeyan, Jeffrey Ichnowski, Minho Hwang, Samuel Paradis, Danyal Fer, Ken Goldberg:
Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles. - Foad Sohrabi, Tao Jiang, Wei Cui, Wei Yu:
Active Sensing for Communications by Learning. - Li-Hsiang Shen, Yung-Ting Huang, Kai-Ten Feng:
Flexible Functional Split for Processing Sharing and CoMP-Enhanced Mixed eMBB/URLLC Services in Beyond 5G Wireless Networks. - Akanksha Saxena, J. P. Jaiswal, K. R. Pardasani:
Broadening the convergence domain of Seventh-order method satisfying Lipschitz and Hölder conditions. - Ojash Neopane, Aaditya Ramdas, Aarti Singh:
Best Arm Identification under Additive Transfer Bandits. - Chaoyue Liu, Yulai Zhang:
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization. - Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche:
KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. - Young-Jin Kim:
Supplementary Feedforward Voltage Control in a Reconfigurable Distribution Network. - Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Hui Chen, Huajun Chen:
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training. - Xiaoge Deng, Tao Sun, Dongsheng Li:
SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning. - Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon:
Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study. - Alan Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt:
The Effect of Model Size on Worst-Group Generalization. - Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, Feng Zhou:
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving. - Harold N. Gabow:
Blocking Trails for f-factors of Multigraphs. - Meng Wang, Boyu Li, Kun He, John E. Hopcroft:
Uncovering the Local Hidden Community Structure in Social Networks. - Jian Sun, Yu Zhou, Chengqing Zong:
Learning to Select the Next Reasonable Mention for Entity Linking. - Wendong Zhang, Yunbo Wang, Junwei Zhu, Ying Tai, Bingbing Ni, Xiaokang Yang:
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid. - Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang:
Fully Attentional Network for Semantic Segmentation. - Chenchao Shi, Biqian Feng, Yongpeng Wu, Wenjun Zhang:
A Preamble Based MAC Mechanism in Ad-Hoc Network. - Bernard McShea, Kevin Wright, Denley Lam, Steve Schmidt, Anna Choromanska, Devansh Bisla, Shihong Fang, Alireza Sarmadi, Prashanth Krishnamurthy, Farshad Khorrami:
ESAFE: Enterprise Security and Forensics at Scale. - Zitan Chen:
Convolutional codes with a maximum distance profile based on skew polynomials. - Junho Kim, Yunjey Choi, Youngjung Uh:
Feature Statistics Mixing Regularization for Generative Adversarial Networks. - Toshinori Kitamura, Ryo Yonetani:
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives. - Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim:
FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue. - Sidong Feng, Chunyang Chen:
GIFdroid: Automated Replay of Visual Bug Reports for Android Apps. - Fang Yang, Wei Qu, Jiecheng Chen, Ying Zhang, Tao Qian:
Sparse Representations of Solutions to a class of Random Boundary Value Problems. - Kiarash Saremi, Hossein Pedram, Behnam Ghavami, Mohsen Raji, Zhenman Fang, Lesley Shannon:
SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs. - Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang:
Pareto Domain Adaptation. - Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang:
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. - Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. - Jiajun Fan:
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions. - Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang:
Neural Points: Point Cloud Representation with Neural Fields. - Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang:
BA-Net: Bridge Attention for Deep Convolutional Neural Networks. - Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero:
Model-Value Inconsistency as a Signal for Epistemic Uncertainty. - Wenbo Gou, Wen Shi, Jian Lou, Lijie Huang, Pan Zhou, Ruixuan Li:
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. - Spela Cucko, Seila Becirovic, Aida Kamisalic, Sasa Mrdovic, Muhamed Turkanovic:
Towards the classification of Self-Sovereign Identity properties. - Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu:
Garment4D: Garment Reconstruction from Point Cloud Sequences. - Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix:
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections. - Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang:
Assessing a Single Image in Reference-Guided Image Synthesis. - Viktoria Ehm, Daniel Cremers, Florian Bernard:
Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis. - Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong:
Weighted Fairness Notions for Indivisible Items Revisited. - Montadhar Guesmi, Martina Grotteschi, Jörg Stiller:
Assessment of high-order IMEX methods for incompressible flow. - Pan Xu, Yifan Xu:
Equity Promotion in Online Resource Allocation. - Kai Zheng, Yuanjiang Wang, Ye Yuan:
Boosting Contrastive Learning with Relation Knowledge Distillation. - Young Eun Lee, Gi-Hwan Shin, Minji Lee, Seong-Whan Lee:
Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running. - Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim:
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. - Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie:
Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition. - Wenbin Teng, Chongyang Bai:
Unimodal Face Classification with Multimodal Training. - Dominique Komander, Carolin Rehs:
Twin-Distance-Hereditary Digraphs. - Damien Sileo, Wout Vossen, Robbe Raymaekers:
Zero-Shot Recommendation as Language Modeling. - Matan Jacob Cohen, Shai Avidan:
Transformaly - Two (Feature Spaces) Are Better Than One. - Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. - Ahmed Cheikh Rouhou, Marwa Dhiaf, Yousri Kessentini, Sinda Ben Salem:
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents. - Zhipeng Zhu, Gary P. T. Choi, Lok Ming Lui:
Parallelizable global quasi-conformal parameterization of multiply-connected surfaces via partial welding. - Zelin Ren, Xuebing Yang, Yuchen Jiang, Wensheng Zhang:
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization. - Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. - Noa Ben-David, Sivan Sabato:
A Fast Algorithm for PAC Combinatorial Pure Exploration. - Robin Haunschild, Angela D. Daniels, Lutz Bornmann:
Scores of a specific field-normalized indicator calculated with different approaches of field-categorization: Are the scores different or similar? - Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. - Younes Belkada, Lorenzo Bertoni, Romain Caristan, Taylor Mordan, Alexandre Alahi:
Do Pedestrians Pay Attention? Eye Contact Detection in the Wild. - Liran Szlak, Ohad Shamir:
Convergence Results For Q-Learning With Experience Replay. - Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas:
Learning music audio representations via weak language supervision. - Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. - Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann:
Specializing Versatile Skill Libraries using Local Mixture of Experts. - Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. - Tai-Yu Ma, Yumeng Fang:
Survey of charging scheduling, fleet management, and location planning of charging stations for electrified demand-responsive transport systems: methodologies and recent developments. - Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao:
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs. - Zhenxin Wu, Qingliang Chen, Yifeng Liu, Yinqi Zhang, Chengkai Zhu, Yang Yu:
Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition. - Jannik Peters:
Online Elicitation of Necessarily Optimal Matchings. - Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He:
SimulSLT: End-to-End Simultaneous Sign Language Translation. - Liran Szlak, Ohad Shamir:
Replay For Safety. - Andrei Brazhuk:
Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses. - Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama:
Application of Deep Reinforcement Learning to Payment Fraud. - Antonis Antonopoulos, Aris Pagourtzis, Stavros Petsalakis, Manolis Vasilakis:
Faster Algorithms for k-Subset Sum and Variations. - Chenhui Qiang, Yong Deng, Kang Hao Cheong:
Information fractal dimension of mass function. - Marie Farrell, Matt Luckcuck, Oisín Sheridan, Rosemary Monahan:
FRETting about Requirements: Formalised Requirements for an Aircraft Engine Controller. - Lulin Zhang, Ewelina Rupnik, Marc Pierrot-Deseilligny:
Feature matching for multi-epoch historical aerial images. - Lucas Baleeiro Dominato, Henrique Cesar Carvalho de Resende, Cristiano Bonato Both, Johann M. Márquez-Barja, Bruno O. Silvestre, Kleber Vieira Cardoso:
Tutorial on communication between access networks and the 5G core. - Wuxing Xu, Hao Fan, Kaixin Li, Kai Yang:
Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost. - Guiyang Luo, Quan Yuan, Jinglin Li, Shangguang Wang, Fangchun Yang:
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision. - Nathaniel K. Brown, Travis Gagie, Massimiliano Rossi:
RLBWT Tricks. - Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin:
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. - Jing You, Shaocheng Jia, Xin Pei, Danya Yao:
DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather. - Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin:
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities. - Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko:
Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN. - Maxence Grand, Damien Pellier, Humbert Fiorino:
TempAMLSI : Temporal Action Model Learning based on Grammar Induction. - Céline Beji, Florian Yger, Jamal Atif:
Non parametric estimation of causal populations in a counterfactual scenario. - Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
iRoPro: An interactive Robot Programming Framework. - Keyu Yang, Lu Chen, Zhihao Zeng, Yunjun Gao:
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning. - Xianlin Zeng, Yalong Jiang, Wenrui Ding, Hongguang Li, Yafeng Hao, Zifeng Qiu:
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos. - Sowmen Das, Md. Saiful Islam, Md. Ruhul Amin:
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection. - Xuan-Huy Pham, Mazen Alamir, François Bonne, Patrick Bonnay:
On the use of Anderson acceleration in hierarchical control. - Francesca Bonizzoni, Davide Pradovera, Michele Ruggeri:
Rational-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots. - Dimitri Percia David, Alain Mermoud, Sébastien Gillard:
Cyber-Security Investment in the Context of Disruptive Technologies: Extension of the Gordon-Loeb Model. - Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Jiashi Feng, Shuicheng Yan:
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. - Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer:
Trainability for Universal GNNs Through Surgical Randomness. - Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang:
Improving the Training of Graph Neural Networks with Consistency Regularization. - Robert Altmann:
Splitting schemes for the semi-linear wave equation with dynamic boundary conditions. - Shuhei Yokoo:
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection. - Ernest Davis:
Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021). - Mary Monroe, David M. Mount:
A PTAS for the Min-Max Euclidean Multiple TSP. - Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais:
JABER: Junior Arabic BERt. - Ján Mazák, Jozef Rajník, Martin Skoviera:
Morphology of small snarks. - Natalia Kucharczuk, Tomasz Was, Oskar Skibski:
PageRank for Edges: Axiomatic Characterization. - Paul Jungeblut, Linda Kleist, Tillmann Miltzow:
The Complexity of the Hausdorff Distance. - Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine:
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs. - Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. - Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer:
Transformer based trajectory prediction. - Tian Yan, Fang Liu:
Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data. - Shivam Kumar, Anupam Agrawal, Swarnendu Biswas:
Efficient Data Race Detection of Async-Finish Programs Using Vector Clocks. - Yali Gao, Daozhi Han, Xiaoming He, Ulrich Rüde:
A decoupled numerical method for two-phase flows of different densities and viscosities in superposed fluid and porous layers. - Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Ethical and social risks of harm from Language Models. - Yu-Yu Liu, Jack Xin:
Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows. - Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Physics-based Mesh Deformation with Haptic Feedback and Material Anisotropy. - Hanwen Kang, Xing Wang, Chao Chen:
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards. - Ekkehard Schnoor, Arash Behboodi, Holger Rauhut:
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks. - Michal Kucer, Diane Oyen, Garrett T. Kenyon:
On visual self-supervision and its effect on model robustness. - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. - Sushmitha Shree S, Kishore G. V, Avhishek Chatterjee, Krishna P. Jagannathan:
Stochastic Bounded Confidence Opinion Dynamics: How Far Apart Do Opinions Drift? - Florian Kammüller:
Dependability Engineering in Isabelle. - Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Player Modeling using Behavioral Signals in Competitive Online Games. - Costas Iordanou, Fragkiskos Papadopoulos:
Topology and Geometry of the Third-Party Domains Ecosystem. - Ludovic Courtès:
Reproducing software environments: a prerequisite for reproducible research. - Tahar Allouche, Jérôme Lang, Florian Yger:
Truth-tracking via Approval Voting: Size Matters. - Andrea Marinoni, Christian Jutten, Mark Girolami:
A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection. - Huan Qing:
Mixed Membership Distribution-Free model. - Md. Shakhawat Hossen, A. S. M. Badrudduza, S. M. Riazul Islam, Abu Hanif, Milton Kumar Kundu, Kyung-Sup Kwak:
Opportunistic Relay Selection over Generalized Fading and Inverse Gamma Composite Fading Mixed Multicast Channels: A Secrecy Tradeoff. - Sergei Kiselev, Andrey Kupavskii, Oleg Verbitsky, Maksim Zhukovskii:
On anti-stochastic properties of unlabeled graphs. - Xudong Huang, Chunyu Lin, Haojie Liu, Lang Nie, Yao Zhao:
FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving. - Victor S. Bursztyn, Jennifer Healey, Vishwa Vinay:
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections. - Alkida Balliu, Fabian Kuhn, Dennis Olivetti:
Improved Distributed Fractional Coloring Algorithms. - Pedro M. Fernandes, Jonathan Jørgensen, Niels N. T. G. Poldervaart:
Adapting Procedural Content Generation to Player Personas Through Evolution. - Carlos Alberto Rodríguez López, Vitalio Alfonso Reguera:
Simple Fair Power Allocation for NOMA-Based Visible Light Communication Systems. - Chongjun Ouyang, Ralf R. Müller, Yuanwei Liu, Julian Cheng, Hongwen Yang:
On the Ergodic Mutual Information of Keyhole MIMO Channels with Finite Inputs. - Thomas Fel, Julien Colin, Rémi Cadène, Thomas Serre:
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. - Huahong Tu, Siyuan Peng, Vladimir Leung, Richard Gao:
SoK: Vehicle Orientation Representations for Deep Rotation Estimation. - Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida:
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features. - Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre:
Improving language models by retrieving from trillions of tokens. - Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. - Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Data-driven stochastic model predictive control. - Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. - Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. - Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang:
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. - Lipeng Wan, Zeyang Liu, Xingyu Chen, Han Wang, Xuguang Lan:
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning. - Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification via Self-Training. - Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Designing a Dashboard for Student Teamwork Analysis. - Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine:
CoMPS: Continual Meta Policy Search. - Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng:
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. - Manuel Gieseking, Nick Würdemann:
Canonical Representations for Direct Generation of Strategies in High-level Petri Games. - Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location & Pose. - Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie:
Prompting Visual-Language Models for Efficient Video Understanding. - Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. - Nilesh Kulkarni, Justin Johnson, David F. Fouhey:
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction. - Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela:
FLAVA: A Foundational Language And Vision Alignment Model. - Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude, Hui Yan:
Daily peak electrical load forecasting with a multi-resolution approach. - Oscar Fernández Vicente, Fernando Fernández Rebollo, Francisco Javier García-Polo:
Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market. - David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. - Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. - Maria Vittoria Minniti, Ruben Grandia, Farbod Farshidian, Marco Hutter:
Adaptive CLF-MPC With Application To Quadrupedal Robots. - Jiaying Gong, Hoda Eldardiry:
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation. - Scott Congreve, Paul Houston:
Two-grid hp-version discontinuous Galerkin finite element methods for quasilinear elliptic PDEs on agglomerated coarse meshes. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Relaxation of condition for convergence of dynamic regressor extension and mixing procedure. - Claire Mathieu, Hang Zhou:
A Simple Algorithm for Graph Reconstruction. - Zhaolin Wang, Yuanwei Liu, Xidong Mu, Zhiguo Ding, Octavia A. Dobre:
NOMA Empowered Integrated Sensing and Communication. - Naresh S. Iyer, Amir M. Mirzendehdel, Sathyanarayanan Raghavan, Yang Jiao, Erva Ulu, Morad Behandish, Saigopal Nelaturi, Dean M. Robinson:
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing. - Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen:
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. - Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao:
SoK: Anti-Facial Recognition Technology. - Polina Alexeenko, Eilyan Bitar:
Achieving Reliable Coordination of Residential Plug-in Electric Vehicle Charging: A Pilot Study. - Felix Schmidt, Melanie Krüger, Marc-André Keip, Christian Hesch:
Homogenization of higher-order continua. - Yue Fan, Dengxin Dai, Bernt Schiele:
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. - Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar:
A simulation driven optimization algorithm for scheduling sorting center operations. - Oliver Nash:
Formalising Lie algebras. - Soroush Saghafian:
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach. - Hao Wang, Yassine Qamsane, James R. Moyne, Kira Barton:
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification. - Rajesh Kumar Das, Mohammad Sharif Ul Islam:
Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review. - Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye:
Adaptive Kernel Graph Neural Network. - Punyashloka Debashis, Hai Li, Dmitri E. Nikonov, Ian A. Young:
Gaussian Random Number Generator with Reconfigurable Mean and Variance using Stochastic Magnetic Tunnel Junctions. - Gavin Uberti, Kevin Luo, Oliver Cheng, Wittmann Goh:
Building Usable Witness Encryption. - Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb:
Estimating Divergences in High Dimensions. - Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu:
STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. - Nikolaos Koumpis, Panagiotis A. Panagiotou, Ioannis Arvanitakis:
A Critical Comparison on Attitude Estimation: From Gaussian Approximate Filters to Coordinate-free Dual Optimal Control. - Philip M. Long, Rocco A. Servedio:
The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss. - Martin Burger:
Variational Regularization in Inverse Problems and Machine Learning. - Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, Gerhard Weikum:
Refined Commonsense Knowledge from Large-Scale Web Contents. - Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu:
InvGAN: Invertible GANs. - Mihnea Maris, Thomas J. Halpin, Dubem Ezeh, Karen Nan Miu, Jaudelice Cavalcante de Oliveira:
Adaptive packet transmission in response to anomaly detection in software defined smart meter networks. - Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim:
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation. - Alessandro Incremona, Giuseppe De Nicolao:
Regularization methods for the short-term forecasting of the Italian electric load. - Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen:
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings. - Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash:
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. - Kaylen J. Pfisterer, Robert Amelard, Jennifer Boger, Audrey G. Chung, Heather H. Keller, Alexander Wong:
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology. - Mohamed Amine Kerkouri, Aladine Chetouani:
A Simple and efficient deep Scanpath Prediction. - Glen Chou, Hao Wang, Dmitry Berenson:
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations. - Jonah Casebeer, Jacob Donley, Daniel Wong, Buye Xu, Anurag Kumar:
NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers. - Jirí Motejlek, Esat Alpay:
Taxonomy of Virtual and Augmented Reality Applications in Education. - Shachi Deshpande, Volodymyr Kuleshov:
Calibration Improves Bayesian Optimization. - Varun Gupta:
Greedy Algorithm for Multiway Matching with Bounded Regret. - Adriano Augusto, Ahmed Awad, Marlon Dumas:
Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs. - Xianpeng Liu, Nan Xue, Tianfu Wu:
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. - Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. - Torsten Scholak, Jonathan Pilault, Joey Velez-Ginorio:
Towards Neural Functional Program Evaluation. - Zhe Chen, Jing Zhang, Dacheng Tao:
Recurrent Glimpse-based Decoder for Detection with Transformer. - Adriano Augusto, Timothy Deitz, Noel Faux, Jo-Anne Manski-Nankervis, Daniel Capurro:
Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients. - Young-Jin Kim:
Decentralized Frequency Regulation of Hybrid MTDC-linked Grids. - Zhichao Li, Thai Duong, Nikolay Atanasov:
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. - Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. - Yu Jin, Jiayi Zhang, Chongwen Huang, Liang Yang, Huahua Xiao, Bo Ai, Zhiqin Wang:
Multiple Residual Dense Networks for Reconfigurable Intelligent Surfaces Cascaded Channel Estimation. - Phillip Si, Allan Bishop, Volodymyr Kuleshov:
Autoregressive Quantile Flows for Predictive Uncertainty Estimation. - David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein:
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation. - Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. - Hantao Yao, Changsheng Xu:
Dual Cluster Contrastive learning for Person Re-Identification. - Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. - Sheng-Chieh Lin, Jimmy Lin:
Densifying Sparse Representations for Passage Retrieval by Representational Slicing. - Xuandi Ren:
A Survey on Parameterized Inapproximability: k-Clique, k-SetCover, and More. - Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. - Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. - Xiangyong Lu, Kaoru Ota, Mianxiong Dong, Chen Yu, Hai Jin:
Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data. - Jiaqi Li, Xiaoyuan Xu, Zheng Yan, Han Wang, Yue Chen:
Dynamic Interaction of Transportation and Power Distribution Networks With Electric Vehicles. - Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek:
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain. - Haohe Liu, Qiuqiang Kong, Jiafeng Liu:
CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet. - Abdul Rahman Kreidieh, Yibo Zhao, Samyak Parajuli, Alexandre M. Bayen:
Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic. - Selim Esedoglu, Jiajia Guo:
A Monotone, Second Order Accurate Scheme for Curvature Motion. - Shen Wang, Muhammad Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage:
Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges. - Lai Wei, Ryan McCloy, Jie Bao:
Contraction Analysis and Control Synthesis for Discrete-time Nonlinear Processes. - Stephen Hausler, Tobias Fischer, Michael Milford:
Unsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition. - Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park:
Fast Point Transformer. - Xusheng Xiong, Hanqiong Lou, Xiaohu Ge:
Modelling and Optimization of OAM-MIMO Communication Systems with Unaligned Antennas. - Zhanxiang Zhao:
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection. - Aman Garg, Ian Good, Daniel Revier, Kevin Airis, Jeffrey Ian Lipton:
Kinematic Modeling of Handed Shearing Auxetics via Piecewise Constant Curvature. - Lufan Ma, Tiancai Wang, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang:
Implicit Feature Refinement for Instance Segmentation. - Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. - Jiyun Luo, Yan Yang, Valerie Nayak, Grace Hui Yang:
Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach. - Yansong Lv, Hang Yin, Zhanxin Yang, Yuhuan Wang, Jingxin Dai, Jing Huan:
Adaptive List Decoder with Flip Operations for Polar Codes. - Amanjot Kaur, Nitin Auluck:
Scheduling Algorithms for Hierarchical Fog Networks. - Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron C. Courville, George Tucker, Sergey Levine:
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization. - Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. - Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee:
Amicable Aid: Turning Adversarial Attack to Benefit Classification. - Kaitong Zheng, Chengshi Zheng, Jinqiu Sang, Yulong Zhang, Xiaodong Li:
Noise-robust blind reverberation time estimation using noise-aware time-frequency masking. - Hitesh Vaidya, Travis Desell, Alexander Ororbia:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. - Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. - Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
New Tight Relaxations of Rank Minimization for Multi-Task Learning. - Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. - Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang:
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. - Yunho Kim, Bukun Son, Dongjun Lee:
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning. - Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie:
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. - Fei Ma, Renbo Zhu, Ping Wang:
OPTT: Optimal Piecewise Transformation Technique for Analyzing Numerical Data under Local Differential Privacy. - Leyuan Qu, Cornelius Weber, Stefan Wermter:
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. - Peng Zhou, Alexander J. Edwards, Fred B. Mancoff, Dimitri Houssameddine, Sanjeev Aggarwal, Joseph S. Friedman:
Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses. - Kirill Krinkin, Yulia A. Shichkina, Andrey Ignatyev:
Co-evolutionary hybrid intelligence. - Abtahi Ishmam, Mahmudul Hasan, Md. Saif Hassan Onim, Koushik Roy, Md. Akiful Hoque Akif, Hussain Nyeem:
Modelling Lips-State Detection Using CNN for Non-Verbal Communications. - Zhe Chen, Aixin Sun:
DP-GCN: Node Classification Based on Both Connectivity and Topology Structure Convolutions for Risky Seller Detection. - Hanno Gottschalk, Matthias Rottmann, Maida Saltagic:
Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? - Wen Li, Furong Xu, Jianan Zhao, Ruobing Zheng, Cheng Zou, Meng Wang, Yuan Cheng:
HBReID: Harder Batch for Re-identification. - Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari:
3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection. - Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey:
Adaptive Methods for Aggregated Domain Generalization. - Jiaqi Tang, Zhaoyang Liu, Chen Qian, Wayne Wu, Limin Wang:
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection. - Pierre-Yves Piriou, Olivier Boudeville, Gilles Deleuze, Sara Tucci Piergiovanni, Önder Gürcan:
Justifying the Dependability and Security of Business-Critical Blockchain-based Applications. - Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang:
VMAgent: Scheduling Simulator for Reinforcement Learning. - Alexander Frummet, David Elsweiler, Bernd Ludwig:
"What can I cook with these ingredients?" - Understanding cooking-related information needs in conversational search. - Hannah Metzler, Hubert Baginski, Thomas Niederkrotenthaler, David García:
Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: A Machine Learning Approach. - Domenico Cantone, Andrea De Domenico, Pietro Maugeri, Eugenio G. Omodeo:
Complexity assessments for decidable fragments of Set Theory. III: A quadratic reduction of constraints over nested sets to Boolean formulae. - Robert Fritze, Claudia Plant:
GPU backed Data Mining on Android Devices. - Sherzod Hakimov, Ralph Ewerth:
Combining Textual Features for the Detection of Hateful and Offensive Language. - Amira Abbas, David Sutter, Alessio Figalli, Stefan Woerner:
Effective dimension of machine learning models. - Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. - Chi Thang Duong, Dimitri Percia David, Ljiljana Dolamic, Alain Mermoud, Vincent Lenders, Karl Aberer:
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach. - Jung-Su Ha, Danny Driess, Marc Toussaint:
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation. - Biying Fu, Naser Damer:
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models. - Santiago Alonso-Bartolome, Isabel Segura-Bedmar:
Multimodal Fake News Detection. - Julian Speith, Florian Schweins, Maik Ender, Marc Fyrbiak, Alexander May, Christof Paar:
How Not to Protect Your IP - An Industry-Wide Break of IEEE 1735 Implementations. - Fengyun Zhang, Li Yang, Yuhuan Liu, Yulong Ding, Shuang-Hua Yang, Hao Li:
Design and Implementation of Real-Time Localization System (RTLS) based on UWB and TDoA Algorithm. - Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang:
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation. - Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu:
Siamese Attribute-missing Graph Auto-encoder. - Robert Fritze, Claudia Plant:
High performance computing on Android devices - a case study. - Axel Barroso Laguna, Yurun Tian, Krystian Mikolajczyk:
ScaleNet: A Shallow Architecture for Scale Estimation. - Drago Bokal, Markus Chimani, Alexander Nover, Jöran Schierbaum, Tobias Stolzmann, Mirko H. Wagner, Tilo Wiedera:
Properties of Large 2-Crossing-Critical Graphs. - Niraj Lal:
An Australian DER Bill of Rights and Responsibilities. - Feiqing Huang, Yuefeng Si, Yao Zheng, Guodong Li:
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks. - Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimators for interacting particle systems and their mean field limit. - Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. - Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation. - Jenna Kanerva, Hanna Kitti, Li-Hsin Chang, Teemu Vahtola, Mathias Creutz, Filip Ginter:
Semantic Search as Extractive Paraphrase Span Detection. - Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou:
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. - Jan Priesmann, Justin Münch, Elias Ridha, Thomas Spiegel, Marius Reich, Mario Adam, Lars Nolting, Aaron Praktiknjo:
Artificial Intelligence and Design of Experiments for Assessing Security of Electricity Supply: A Review and Strategic Outlook. - Andrea Ponti:
Multi-Task Learning on Networks. - Qingfeng Yao, Jilong Wang, Shuyu Yang:
Real-World Dexterous Object Manipulation based Deep Reinforcement Learning. - Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. - Yiliang Zhang, Qi Long:
Assessing Fairness in the Presence of Missing Data. - Jhonathan Osin, Lior Wolf, Guy Gurevitch, Jackob Nimrod Keynan, Tom Fruchtman-Steinbok, Ayelet Or-Borichev, Shira Reznik Balter, Talma Hendler:
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance. - Silin Cheng, Xiwu Chen, Xinwei He, Zhe Liu, Xiang Bai:
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis. - Cameron R. Wolfe, Anastasios Kyrillidis:
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. - Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang:
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. - Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz:
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. - Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. - Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Sotiris Ioannidis:
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study. - Sarra Habchi, Guillaume Haben, Mike Papadakis, Maxime Cordy, Yves Le Traon:
A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests. - Anindya Sundar Das, Sriparna Saha:
Self-Supervised Image-to-Text and Text-to-Image Synthesis. - Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. - Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi:
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification. - Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li:
A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction. - Yash Pote, Kuldeep S. Meel:
Testing Probabilistic Circuits. - Yuanyuan Yuan, Qi Pang, Shuai Wang:
Automated Side Channel Analysis of Media Software with Manifold Learning. - Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay, Arijit Mondal, Partha Pratim Chakrabarti:
PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function. - Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. - Juliette Mattioli, Pierre-Olivier Robic:
Smart Support for Mission Success. - X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, Siddhartha Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati:
mechanoChemML: A software library for machine learning in computational materials physics. - Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi:
Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics. - Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia:
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. - Sufang Yang, Longguang Li, Haoyue Tang, Jintao Wang:
Tradeoff between Diversity and Multiplexing Gains in Block Fading Optical Wireless Channels. - Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
How Universal is Genre in Universal Dependencies? - Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma, Zhe Wang, Jianping Shi:
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach. - Juan Sebastián Gómez Cañón, Perfecto Herrera, Estefanía Cano, Emilia Gómez:
Personalized musically induced emotions of not-so-popular Colombian music. - Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally:
Bringing Atomistic Deep Learning to Prime Time. - Paschalis Panteleris, Antonis A. Argyros:
PE-former: Pose Estimation Transformer. - Alessandro Neri, Paolo Santonastaso, Ferdinando Zullo:
The geometry of one-weight codes in the sum-rank metric. - Su Zhu, Lu Chen, Ruisheng Cao, Zhi Chen, Qingliang Miao, Kai Yu:
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF. - Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich:
The Peril of Popular Deep Learning Uncertainty Estimation Methods. - Lukas Schmelzeisen, Corina Dima, Steffen Staab:
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History. - Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning together is better than going alone. - Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen:
Exploring Event-driven Dynamic Context for Accident Scene Segmentation. - Anish Shastri, Joan Palacios, Paolo Casari:
Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks. - Javier Garcia-Bernardo, Joost Witteman, Marilou Vlaanderen:
Uncovering the Size of the Illegal Corporate Service Provider Industry in the Netherlands: a Network Approach. - Hiroki Furue, Momonari Kudo:
Polynomial XL: A Variant of the XL Algorithm Using Macaulay Matrices over Polynomial Rings. - Lukas Balles, Giovanni Zappella, Cédric Archambeau:
Gradient-matching coresets for continual learning. - Daniel Seibel:
Almost complete analytical integration in Galerkin BEM. - Yi Li, Yang Sun, Kirill V. Horoshenkov, Syed Mohsen Naqvi:
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement. - Vahid Aref, Mathieu Chagnon:
End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping. - Daniele Bertaccini, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone:
Preconditioning Richards Equations: spectral analysis and parallel solution at very large scale. - Yifan Zhuang, Ziyuan Pu, Jia Hu, Yinhai Wang:
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection. - Robin Görmer, Philipp Morgenstern:
Multivariate analysis-suitable T-splines of arbitrary degree. - Yucheng Liu, Tian Zhu:
Opinion Extraction as A Structured Sentiment Analysis using Transformers. - Aayush Jain, Varun Kohli, Girish Mishra:
Deep Learning based Differential Distinguisher for Lightweight Block Ciphers. - Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell:
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. - Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg:
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. - David Caballero, Timothy Gomez, Robert T. Schweller, Tim Wylie:
Unique Assembly Verification in Two-Handed Self-Assembly. - Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure. - Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. - Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf:
Locally Shifted Attention With Early Global Integration. - Haris Angelidakis, Ivan Sergeev, Pontus Westermark:
Improved approximation algorithms for two Euclidean k-Center variants. - Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu:
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation. - Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. - Alexandr Andoni, Negev Shekel Nosatzki, Sandip Sinha, Clifford Stein:
Estimating the Longest Increasing Subsequence in Nearly Optimal Time. - Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa:
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. - Praveena Satkunarajah, Kat Agres:
Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System. - Jennifer J. Sun, Serim Ryou, Roni Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona:
Self-Supervised Keypoint Discovery in Behavioral Videos. - Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. - Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Transferring BERT-like Transformers' Knowledge for Authorship Verification. - Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys:
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. - Henry M. Clever, Ankur Handa, Hammad Mazhar, Kevin Parker, Omer Shapira, Qian Wan, Yashraj S. Narang, Iretiayo Akinola, Maya Cakmak, Dieter Fox:
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations. - Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu:
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. - Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. - Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. - Saeed Saadatnejad, Siyuan Li, Taylor Mordan, Alexandre Alahi:
A Shared Representation for Photorealistic Driving Simulators. - Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. - Yining Hong, Li Yi, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. - Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. - Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao:
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields. - Viktor Rudnev, Mohamed Elgharib, William A. P. Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt:
Neural Radiance Fields for Outdoor Scene Relighting. - Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai:
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. - Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu:
HairCLIP: Design Your Hair by Text and Reference Image. - William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. - Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian:
Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing. - Miriam Alabi:
Classification of Anuran Frog Species Using Machine Learning. - Zhao Han, Jenna Parrillo, Alexander Wilkinson, Holly A. Yanco, Tom Williams:
Projecting Robot Navigation Paths: Hardware and Software for Projected AR. - Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. - Markus Brill, Jonas Israel, Evi Micha, Jannik Peters:
Individual Representation in Approval-Based Committee Voting. - Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. - Chang Lu, Tian Han, Yue Ning:
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. - Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Self-Supervised Bot Play for Conversational Recommendation with Justifications. - Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Reinforcement Learning with Almost Sure Constraints. - Nick Merrill:
This internet, on the ground. - Saghar Hosseini, Ahmed Hassan Awadallah, Yu Su:
Compositional Generalization for Natural Language Interfaces to Web APIs. - Rohit Mohan, Abhinav Valada:
7th AI Driving Olympics: 1st Place Report for Panoptic Tracking. - JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim:
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. - Gaétan Bahl, Mehdi Bahri, Florent Lafarge:
Road Extraction from Overhead Images with Graph Neural Networks. - Michael R. Wyatt II, Valen Yamamoto, Zoë Tosi, Ian Karlin, Brian Van Essen:
Is Disaggregation possible for HPC Cognitive Simulation? - Yiheng Xie, Mingxuan Li, Shangqun Yu, Michael L. Littman:
Learning Generalizable Behavior via Visual Rewrite Rules. - Rameen Abdal, Peihao Zhu, John Femiani, Niloy J. Mitra, Peter Wonka:
CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions. - Fabio D'Agostino, Samuele Grillo, Roberto Infantino, Enrico Pons:
High Voltage Shore Connection Systems: Grounding Resistance Selection and Short Circuit Currents Evaluation. - Eugene Bagdasaryan, Vitaly Shmatikov:
Spinning Language Models for Propaganda-As-A-Service. - Nan Chen, Yingda Li, Honghu Liu:
Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems. - Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Injecting Semantic Concepts into End-to-End Image Captioning. - Matthew Mirman, Maximilian Baader, Martin T. Vechev:
The Fundamental Limits of Interval Arithmetic for Neural Networks. - Jalil Nourmohammadi-Khiarak, Samaneh Salehi Nasab, Farhang Jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, Yasin Amini, Morteza Noshad:
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation. - Jalil Nourmohammadi-Khiarak:
Transfer learning using deep neural networks for Ear Presentation Attack Detection: New Database for PAD. - Edoardo Amaldi, Antonio Consolo, Andrea Manno:
On multivariate randomized classification trees: l0-based sparsity, VC dimension and decomposition methods. - Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger:
An Experimental Design Perspective on Model-Based Reinforcement Learning. - Sharmila Duppala, Karthik Abinav Sankararaman, Pan Xu:
Online minimum matching with uniform metric and random arrivals. - Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. - Constantin Eichenberg, Sidney Black, Samuel Weinbach, Letitia Parcalabescu, Anette Frank:
MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning. - Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood:
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. - Dave Schneider, Michael Witbrock:
Semantic Construction Grammar: Bridging the NL / Logic Divide. - Péter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan:
Equivariant Quantum Graph Circuits. - Roya Javadi, Angelica Lim:
The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild). - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production. - Andrey Filippov, Olga Filippova:
Long-Range Thermal 3D Perception in Low Contrast Environments. - Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit. - Raja Karmakar, Georges Kaddoum, Samiran Chattopadhyay:
SmartCon: Deep Probabilistic Learning Based Intelligent Link-Configuration in Narrowband-IoT Towards 5G and B5G. - Yeonjun Bang, Yeejin Lee, Byeongkeun Kang:
Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection. - Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao:
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. - Prarthana Bhattacharyya, Yanlei Gu, Jiali Bao, Xu Liu, Shunsuke Kamijo:
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map. - Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas:
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. - Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf:
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots. - Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson:
Representing 3D Shapes with Probabilistic Directed Distance Fields. - Qing Li, Xiaojiang Peng, Qi Hao:
Self-Ensemling for 3D Point Cloud Domain Adaption. - Jason R. Koenig, Oded Padon, Sharon Shoham, Alex Aiken:
Inferring Invariants with Quantifier Alternations: Taming the Search Space Explosion. - Jiankai Jin, Eleanor McMurtry, Benjamin I. P. Rubinstein, Olga Ohrimenko:
Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems. - Zizhou Huang, Teseo Schneider, Minchen Li, Chenfanfu Jiang, Denis Zorin, Daniele Panozzo:
A Large-Scale Benchmark for the Incompressible Navier-Stokes Equations. - Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo, Samuel Coogan:
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. - Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite:
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. - Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang:
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems. - Tianyi Zhang, Shirui Zhang, Ziwei Chen, Dianbo Liu:
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records. - Shereen Afifi, Hamid Gholamhosseini, Roopak Sinha:
Dynamic hardware system for cascade SVM classification of melanoma. - Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin:
Attention-based Transformation from Latent Features to Point Clouds. - Joosung Lee, Kijong Han:
Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0. - Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura:
FaceFormer: Speech-Driven 3D Facial Animation with Transformers. - Somrita Chattopadhyay, Avinash C. Kak:
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images. - Ananya Karthik, Mike Wu, Noah D. Goodman, Alex Tamkin:
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study. - Samuel Wilson, Niko Sünderhauf, Feras Dayoub:
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection. - Giseung Park, Sungho Choi, Youngchul Sung:
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. - Tzalik Maimon:
Sleeping Model: Local and Dynamic Algorithms. - Rongxin Zhu, Jey Han Lau, Jianzhong Qi:
Findings on Conversation Disentanglement. - Sung-Hoon Yoon, Hyeokjun Kweon, Jaeseok Jeong, Hyeonseong Kim, Shinjeong Kim, Kuk-Jin Yoon:
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation. - Chenyang Xu, Benjamin Moseley:
Learning-Augmented Algorithms for Online Steiner Tree. - Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. - Jing Sun, Daxin Nie, Weihua Deng:
Regularity theory and numerical algorithm for the fractional Klein-Kramers equation. - Nahid Hajizadeh, Peyman Jahanbazi, Reza Akbari:
MOBAFS: A Multi Objective Bee Algorithm for Feature subset selection in Software Product Lines. - Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. - Jianqi Chen, Yanling Ding, Hui Peng, Tian Qi, Jie Chen:
Mean-Square Stabilizability of Low-Order Systems Against Correlated Stochastic Multiplicative Uncertainties. - Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini:
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization. - Guanlin Liu, Lifeng Lai:
Efficient Action Poisoning Attacks on Linear Contextual Bandits. - Kyuhan Lee, Jihoon Ko, Kijung Shin:
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. - Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. - Kenneth W. Shum, Jie Hao:
Optimal Quaternary (r, delta)-Locally Repairable Codes Achieving the Singleton-type Bound. - Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Cross-Modal Transferable Adversarial Attacks from Images to Videos. - Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. - Sandilya Sai Garimella, Shai Revzen:
Dandelion-Picking Legged Robot. - Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong:
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. - Kamana Porwal, Pratibha Shakya:
A nonconforming finite element method for an elliptic optimal control problem with constraint on the gradient. - Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-supervised Mixed-curvature Graph Neural Network. - Vasileios Gkitsas, Nikolaos Zioulis, Vladimiros Sterzentsenko, Alexandros Doumanoglou, Dimitrios Zarpalas:
Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization. - Yifan Zhang, Xinhong Chen, Jianping Wang, Zuduo Zheng, Kui Wu:
A Generative Car-following Model Conditioned On Driving Styles. - Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi:
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study. - Asier Gutiérrez-Fandiño, David Pérez Fernández, Jordi Armengol-Estapé:
The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset. - Yantong Xie, Zhennan Zhou:
Frozen Gaussian Sampling: A Mesh-free Monte Carlo Method For Approximating Semiclassical Schrödinger Equations. - Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang:
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. - Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini:
Multimedia Datasets for Anomaly Detection: A Survey. - Daisuke Ishii, Takashi Tomita, Kenji Onishi, Toshiaki Aoki:
Compositional Test Generation of Industrial Synchronous Systems. - Chenchen Mou, Xianjin Yang, Chao Zhou:
Numerical methods for Mean field Games based on Gaussian Processes and Fourier Features. - Soheil Behnezhad, Avrim Blum, Mahsa Derakhshan:
Stochastic Vertex Cover with Few Queries. - Steffen Jung, Sebastian Ziegler, Amirhossein Kardoost, Margret Keuper:
Optimizing Edge Detection for Image Segmentation with Multicut Penalties. - Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. - Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko:
Predicting Physical World Destinations for Commands Given to Self-Driving Cars. - Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter:
Robustification of Online Graph Exploration Methods. - Gorka Abad, Stjepan Picek, Aitor Urbieta:
SoK: On the Security & Privacy in Federated Learning. - Hai Lan, Xihao Wang, Xian Wei:
Couplformer: Rethinking Vision Transformer with Coupling Attention Map. - Mark de Berg, Arpan Sadhukhan, Frits C. R. Spieksma:
Stable Approximation Algorithms for the Dynamic Broadcast Range-Assignment Problem. - Tao Xiang, Chunlong Xie, Shangwei Guo, Jiwei Li, Tianwei Zhang:
Protecting Your NLG Models with Semantic and Robust Watermarks. - Hossein Arabnezhad Khanooki, Babak Sadeghiyan:
An Evaluation and Enhancement of Seredynski-Bouvry CA-based Encryption Scheme. - Sisi Miao, Lukas Rapp, Laurent Schmalen:
Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores. - Qiming Ye, Yuxiang Feng, Jing Han, Marc Stettler, Panagiotis Angeloudis:
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study. - Shaily Mishra, Padala Manisha, Sujit Gujar:
EEF1-NN: Efficient and EF1 allocations through Neural Networks. - Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, André Seidel Oliveira, Rodrigo Gerber, Naíde Müller, André Corrêa d'Almeida, Bruno Miguel Veloso, Anna Helena Reali Costa:
DEBACER: a method for slicing moderated debates. - Rares-Darius Buhai, David Steurer:
Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures. - Nicolas Kuhn, Francklin Simo, David Pradas, Emile Stephan:
Evaluating BDP FRAME extension for QUIC. - Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche:
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. - Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova, Andreas Both:
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features. - Maik Wischow, Guillermo Gallego, Ines Ernst, Anko Börner:
Camera Condition Monitoring and Readjustment by means of Noise and Blur. - Frederico Dias Souza, João B. O. Souza Filho:
Sentiment Analysis on Brazilian Portuguese User Reviews. - Mary Scott, Graham Cormode, Carsten Maple:
Applying the Shuffle Model of Differential Privacy to Vector Aggregation. - Alejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, Javier Rodríguez-Vázquez, Liang Lu, Miguel Fernández-Cortizas, Ramón A. Suárez Fernández, Alberto Rodelgo, Carlos Santos, Martin Molina, Luis Merino, Fernando Caballero, Pascual Campoy:
Autonomous Aerial Robot for High-Speed Search and Intercept Applications. - Haradhan Ghosh, Sanjit Bhowmick, Pramod Kumar Maurya, Satya Bagchi:
Linear complementary dual code-based Multi-secret sharing scheme. - Deep Mukhopadhyay, Sanjit Bhowmick, Kalyan Hansda, Satya Bagchi:
A Class of (n, k, r, t) IS-LRCs Via Parity Check Matrix. - Ángel Longueira-Romero, Rosa Iglesias, David González, Iñaki Garitano:
How to Quantify the Security Level of Embedded Systems? A Taxonomy of Security Metrics. - Pheeha Machaka, Olasupo Ajayi, Hloniphani Maluleke, Ferdinand Kahenga, Antoine B. Bagula, Kyandoghere Kyamakya:
Modelling DDoS Attacks in IoT Networks using Machine Learning. - Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu:
Visual Transformers with Primal Object Queries for Multi-Label Image Classification. - Vikash Tripathi, Ton Kloks, Arti Pandey, Kaustav Paul, Hung-Lung Wang:
Complexity of Paired Domination in AT-free and Planar Graphs. - Stirling Scholes, Alice Ruget, Germán Mora-Martín, Feng Zhu, István Gyöngy, Jonathan Leach:
DronePose: The identification, segmentation, and orientation detection of drones via neural networks. - Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. - Haoxi Tan:
BCD: A Cross-Architecture Binary Comparison Database Experiment Using Locality Sensitive Hashing Algorithms. - Yuanzhi Duan, Xiaofang Hu, Yue Zhou, Qiang Liu, Shukai Duan:
Network Compression via Central Filter. - Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar:
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. - Nicola Dall'Asen, Yiming Wang, Hao Tang, Luca Zanella, Elisa Ricci:
Graph-based Generative Face Anonymisation with Pose Preservation. - Anton A. Pyrkin, Alexey A. Bobtsov, Romeo Ortega, Alberto Isidori:
An Adaptive Observer for Uncertain Linear Time-Varying Systems with Unknown Additive Perturbations. - Bing Zhou, Matias Aiskovich, Sinem Güven Kaya:
Sparse Depth Completion with Semantic Mesh Deformation Optimization. - Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin:
CityNeRF: Building NeRF at City Scale. - Sevag Hanssian:
Music demixing with the sliCQ transform. - Dan Frumin:
Semantic Cut Elimination for the Logic of Bunched Implications, Formalized in Coq. - Ruiyang Xu, Zhengxing Chen:
A Validation Tool for Designing Reinforcement Learning Environments. - Nils Brede Moe, Rasmus Ulfsnes, Viktoria Stray, Darja Smite:
Improving Productivity through Corporate Hackathons: A Multiple Case Study of Two Large-scale Agile Organizations. - Luisa D'Amore, Rosalba Cacciapuoti:
Sensitivity Analysis of Domain Decomposition method for 4D Variational Data Assimilation (DD-4DVAR DA). - Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard:
Global convergence of ResNets: From finite to infinite width using linear parameterization. - Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md. Alimoor Reza, David J. Crandall, Soon-Heung Jung:
Error Diagnosis of Deep Monocular Depth Estimation Models. - Marcos V. Conde:
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots. - Rob B. N. Scharff, Dirk-Jan Boonstra, Laurence Willemet, Xi Lin, Michaël Wiertlewski:
Rapid manufacturing of color-based hemispherical soft tactile fingertips. - Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss. - Anita Mezzetti, Dimitri Percia David, Thomas Maillart, Michael Tsesmelis, Alain Mermoud:
TechRank: A Network-Centrality Approach for Informed Cybersecurity-Investment. - Jennifer Hehn, Daniel Méndez:
Combining Design Thinking and Software Requirements Engineering to create Human-centered Software-intensive Systems. - Bolin Li, Lijun Zhu:
An Improved Fractional-Order Active Disturbance Rejection Control: Performance Analysis and Experiment Verification. - Mathieu Bernard, Maxime Poli, Julien Karadayi, Emmanuel Dupoux:
Shennong: a Python toolbox for audio speech features extraction. - Lorenz Baumgarten, Stefan Bornholdt:
Universal computation using localized limit-cycle attractors in neural networks. - Emre Ozfatura, Deniz Gündüz, H. Vincent Poor:
Collaborative Learning over Wireless Networks: An Introductory Overview. - Yichao Liu, Zongru Shao, Nico Hoffmann:
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions. - Samuel Karlsson, Anton Koval, Christoforos Kanellakis, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
D*+s: A Generic Platform-Agnostic and Risk-Aware Path Planing Framework with an Expandable Grid. - Herman van der Kooij, Simone S. Fricke, Ronald C. van 't Veld, Ander Vallinas Prieto, Arvid Q. L. Keemink, Alfred C. Schouten, Edwin H. F. van Asseldonk:
A Device and Method to Identify Hip, Knee and Ankle Joint Impedance During Walking. - Vasilios Mavroudis, Chris Hicks, Jon Crowcroft:
An Interface between Legacy and Modern Mobile Devices for Digital Identity. - Mohammad Rezaalipour, Carlo A. Furia:
Test-Case Generation for Finding Neural Network Bugs. - Roald Frederickx, Philip Dutré:
Stackless Ray-Object Intersections Using Approximate Minimum Weight Triangulations: Results in 2D That Outperform Roped KD-Trees (And Massively Outperform BVHs). - Herbert Egger, Mané Harutynunyan, Richard Löscher, Melina Merkel, Sebastian Schöps:
On torque computation in electric machine simulation by harmonic mortar methods. - Srinath Srinivasa, Jayati Deshmukh:
Paradigms of Computational Agency. - Trung-Son Le, Chyi-Yeu Lin:
GPU-accelerated image alignment for object detection in industrial applications. - Sebastian Kahl, Sebastian Wiese, Nele Rußwinkel, Stefan Kopp:
Towards autonomous artificial agents with an active self: modeling sense of control in situated action. - Alessio Caminata, Elisa Gorla:
Solving degree, last fall degree, and related invariants. - Stanislaw Szymanowicz, James Charles, Roberto Cipolla:
Discrete neural representations for explainable anomaly detection. - Tianyi Liu, Zuxuan Wu, Wenhan Xiong, Jingjing Chen, Yu-Gang Jiang:
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation. - Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. - Eitan Goldberg, Chong Shangguan, Itzhak Tamo:
Singleton-type bounds for list-decoding and list-recovery, and related results. - Anish Shastri, Neharika Valecha, Enver Bashirov, Harsh Tataria, Michael Lentmaier, Fredrik Tufvesson, Michele Rossi, Paolo Casari:
A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies. - Jetsun Whitton, Anthony Hunter:
Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations. - Andrea Eirale, Mauro Martini, Luigi Tagliavini, Marcello Chiaberge, Giuseppe Quaglia:
Marvin: Innovative Omni-Directional Robotic Assistant for Domestic Environments. - Sverker Rasmuson, Erik Sintorn, Ulf Assarsson:
PERF: Performant, Explicit Radiance Fields. - Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He:
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. - Philippos Papaphilippou, Wayne Luk, Chris Brooks:
FLiMS: a Fast Lightweight 2-way Merge Sorter. - Patricia Wollstadt, Sebastian Schmitt:
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory. - Lechao Xiao:
Eigenspace Restructuring: a Principle of Space and Frequency in Neural Networks. - Yang Xiao, Shanghao Shi, Wenjing Lou, Chonggang Wang, Xu Li, Ning Zhang, Y. Thomas Hou, Jeffrey H. Reed:
Decentralized Spectrum Access System: Vision, Challenges, and a Blockchain Solution. - Mihai Boicu, Erik Blasch, Alun D. Preece:
AAAI FSS-21: Artificial Intelligence in Government and Public Sector Proceedings. - Christian Creß, Alois C. Knoll:
Intelligent Transportation Systems With The Use of External Infrastructure: A Literature Survey. - Raphael Leiteritz, Dirk Pflüger:
How to Avoid Trivial Solutions in Physics-Informed Neural Networks. - Cédérick Mouliets, Isabelle Ferrané, Heriberto Cuayáhuitl:
Reward-Based Environment States for Robot Manipulation Policy Learning. - Zhigang Chang, Zhao Yang, Yongbiao Chen, Qin Zhou, Shibao Zheng:
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification. - Dávid Csercsik, Eduard A. Jorswieck:
Preallocation-based Combinatorial Auction for Efficient Fair Channel Assignments in Multi-Connectivity Networks. - Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit and Differential Variance. - Xiaohui Bei, Xinhang Lu, Warut Suksompong:
Truthful Cake Sharing. - Seungyong Moon, Gaon An, Hyun Oh Song:
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. - Yang Hong, Bo Peng, Haiyao Xiao, Ligang Liu, Juyong Zhang:
HeadNeRF: A Real-time NeRF-based Parametric Head Model. - Xing Wu, Chaochen Gao, Jue Wang, Liangjun Zang, Zhongyuan Wang, Songlin Hu:
DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings. - Marcin Pietron, Dominik Zurek, Kamil Faber:
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection. - Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie:
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms. - Marco Huber, Fadi Boutros, Florian Kirchbuchner, Naser Damer:
Mask-invariant Face Recognition through Template-level Knowledge Distillation. - Damien Sileo, Marie-Francine Moens:
Analysis and Prediction of NLP Models Via Task Embeddings. - Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. - Karl-Herbert Schäfer, Franz Quint:
Artificial Intellgence - Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021. - Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst:
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm. - Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. - Sixin Zhang, Emmanuel Soubies, Cédric Févotte:
On the Relationships between Transform-Learning NMF and Joint-Diagonalization. - Zhuangzhuang Dai, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment. - Md. Rayhan Ahmed, Salekul Islam, A. K. M. Muzahidul Islam, Swakkhar Shatabda:
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition. - Mobina Shahbandeh, Fatemeh Ghaffarpour, Sina Vali, Mohammad Amin Haghpanah, Amin Mousavi Torkamani, Mehdi Tale Masouleh, Ahmad Kalhor:
A Deep Learning Based Automated Hand Hygiene Training System. - Federico Garza Ramírez:
Neural Multi-Quantile Forecasting for Optimal Inventory Management. - Michael Madaio, Lisa Egede, Hariharan Subramonyam, Jennifer Wortman Vaughan, Hanna M. Wallach:
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support. - Daniel T. Chang:
Concept Representation Learning with Contrastive Self-Supervised Learning. - Markus N. Rabe, Charles Staats:
Self-attention Does Not Need O(n2) Memory. - Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. - Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui:
Federated Two-stage Learning with Sign-based Voting. - Yang Li, Gang Li, Xin Zhou, Mostafa Dehghani, Alexey A. Gritsenko:
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling. - Akash Bharadwaj, Graham Cormode:
Sample and Threshold Differential Privacy: Histograms and applications. - Songgaojun Deng, Huzefa Rangwala, Yue Ning:
Causal Knowledge Guided Societal Event Forecasting. - Brianna Richardson, Juan E. Gilbert:
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions. - Bryan Eikema, Germán Kruszewski, Hady Elsahar, Marc Dymetman:
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs. - Patrick Xia, Richard Shin:
Pruning Pretrained Encoders with a Multitask Objective. - Peng Zhou, Julie A. Smith, Laura Deremo, Stephen K. Heinrich-Barna, Joseph S. Friedman:
Synchronous Unsupervised STDP Learning with Stochastic STT-MRAM Switching. - Deivid Vale, Niels van der Weide:
Formalizing Higher-Order Termination in Coq. - Marjan Ghazvininejad, Vladimir Karpukhin, Asli Celikyilmaz:
Discourse-Aware Prompt Design for Text Generation. - Jiska Classen, Francesco Gringoli, Michael Hermann, Matthias Hollick:
Attacks on Wireless Coexistence: Exploiting Cross-Technology Performance Features for Inter-Chip Privilege Escalation. - Wenfeng Lai, Adiesha Liyange, Binhai Zhu, Peng Zou:
Beyond the Longest Letter-duplicated Subsequence Problem. - Daqi Liu, Miroslaw Bober, Josef Kittler:
Neural Belief Propagation for Scene Graph Generation. - Michel Besserve, Bernhard Schölkopf:
Learning soft interventions in complex equilibrium systems. - Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. - Roxana Szomiu, Adrian Groza:
A Puzzle-Based Dataset for Natural Language Inference. - Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. - Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. - Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian:
On Causally Disentangled Representations. - Prannay Kaul, Weidi Xie, Andrew Zisserman:
Label, Verify, Correct: A Simple Few Shot Object Detection Method. - Abhishek Gupta, Connor Wright:
The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work. - Samayan Bhattacharya, Sk Shahnawaz:
Using Machine Learning to Predict Air Quality Index in New Delhi. - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. - Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. - Babak Ravandi, Valentina Concu:
The Hierarchical Organization of Syntax. - Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. - Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. - Hendrik Brückler, Ojaswi Gupta, Manish Mandad, Marcel Campen:
The 3D Motorcycle Complex for Structured Volume Decomposition. - Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. - Michael Robinson:
Constant rank factorizations of smooth maps. - Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef:
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. - Fermín Travi, Gonzalo Ruarte, Gastón Bujia, Juan E. Kamienkowski:
Benchmarking human visual search computational models in natural scenes: models comparison and reference datasets. - James E. Kostas, Philip S. Thomas, Georgios Theocharous:
Edge-Compatible Reinforcement Learning for Recommendations. - Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
Deep ViT Features as Dense Visual Descriptors. - Ken'ichi Kumatani, Robert Gmyr, Felipe Cruz Salinas, Linquan Liu, Wei Zuo, Devang Patel, Eric Sun, Yu Shi:
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition. - Jazeem Abdul Jaleel, Sherwin Doroudi, Kristen Gardner, Alexander Wickeham:
A General "Power-of-d" Dispatching Framework for Heterogeneous Systems. - Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-Supervised Learning. - Ken'ichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng:
Sequence-level self-learning with multiple hypotheses. - Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
Quality-Aware Multimodal Biometric Recognition. - Dan Alistarh, Peter Davies:
Collecting Coupons is Faster with Friends. - Artur Czumaj, Peter Davies, Merav Parter:
Improved Deterministic (Δ+1)-Coloring in Low-Space MPC. - Bulut Tekgül, Heikki Kahila, Petteri Peltonen, Mahmoud Gadalla, Ossi Kaario, Ville Vuorinen:
A load balanced chemistry model with analytical Jacobian for faster reactive simulations in OpenFOAM. - Arun Ganesh, Tomasz Kociumaka, Andrea Lincoln, Barna Saha:
How Compression and Approximation Affect Efficiency in String Distance Measures. - Marcos M. Vasconcelos:
Learning distributed channel access policies for networked estimation: data-driven optimization in the mean-field regime. - Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili:
ANA: Ant Nesting Algorithm for Optimizing Real-World Problems. - Son N. Tran, Artur S. d'Avila Garcez:
Logical Boltzmann Machines. - Manaal Faruqui, Dilek Hakkani-Tür:
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems. - Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. - Haojiao Liang, Huiping Li, Jian Gao, Rongxin Cui, Demin Xu:
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency. - Peer Schütt, Max Schwarz, Sven Behnke:
Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens. - Pouria Mehrabi, Hamid D. Taghirad:
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation. - Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola:
Deep Q-Network with Proximal Iteration. - Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, Guoying Zhao:
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition. - Ioannis Chatzigeorgiou:
Transversal GRAND for Network Coded Data. - Howard W. Levinson, Vadim A. Markel:
Inversion of band-limited discrete Fourier transforms of binary images: Uniqueness and algorithms. - Yao Xu, Zhengji Zhao, Rohan Garg, Harsh Khetawat, Rebecca Hartman-Baker, Gene Cooperman:
MANA-2.0: A Future-Proof Design for Transparent Checkpointing of MPI at Scale. - Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan:
Analysis of the Pennsylvania Additive Classification Tool: Biases and Important Features. - Krushi Patel, Guanghui Wang:
A Discriminative Channel Diversification Network for Image Classification. - Debarati Das, Tomasz Kociumaka, Barna Saha:
Improved Approximation Algorithms for Dyck Edit Distance and RNA Folding. - Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
Attacking Point Cloud Segmentation with Color-only Perturbation. - Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri:
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. - Yizun Lin, Si Li, Yunzhong Zhang:
Convergence Rate Analysis of Accelerated Forward-Backward Algorithm with Generalized Nesterov Momentum Scheme. - Monica Ekal, Keenan Albee, Brian Coltin, Rodrigo M. M. Ventura, Richard Linares, David W. Miller:
Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers. - Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. - Tianqing Zhou, Yali Yue, Dong Qin, Xuefang Nie, Xuan Li, Chunguo Li:
Joint Device Association, Resource Allocation and Computation Offloading in Ultra-Dense Multi-Device and Multi-Task IoT Networks. - Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Learning of Group Activity in Videos. - Anran Wang, Maruchi Kim, Hao Zhang, Shyamnath Gollakota:
Hybrid Neural Networks for On-device Directional Hearing. - Weiwei Jiang, Zhanna Sarsenbayeva, Difeng Yu, Jing Wei, Niels van Berkel, Jorge Gonçalves, Vassilis Kostakos:
UbiNIRS: A Software Framework for Miniaturized NIRS-based Applications. - Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang:
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. - Konstantinos Gatsis:
Federated Reinforcement Learning at the Edge. - Alana de Santana Correia, Esther Colombini:
Neural Attention Models in Deep Learning: Survey and Taxonomy. - Yongkang Li:
An Empirical Study on Relation Extraction in the Biomedical Domain. - Navid Rezazadeh, Maxwell Kolarich, Solmaz S. Kia, Negar Mehr:
Learning Contraction Policies from Offline Data. - Daofei Li, Ao Liu:
Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours. - Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping Through Time with Gradient-based Adaptation for Recommendation. - Zhongping Zhang, Yiwen Gu, Bryan A. Plummer:
Show and Write: Entity-aware News Generation with Image Information. - Shi Jin:
Asymptotic-Preserving Schemes for Multiscale Physical Problems. - Amay Saxena, Chih-Yuan Chiu, Joseph Menke, Ritika Shrivastava, Shankar Sastry:
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization. - Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan:
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. - Komala Krishna, Nandakumar Nambath:
Cascode Cross-Coupled Stage High-Speed Dynamic Comparator in 65 nm. - Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. - Shraman Pal, Mansi Uniyal, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Moongu Jeon, Jinho Choi:
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning. - Emmanouil Xylakis, Antonios Liapis, Georgios N. Yannakakis:
Architectural Form and Affect: A Spatiotemporal Study of Arousal. - Xinyi Zhang, Yukiyasu Domae, Weiwei Wan, Kensuke Harada:
Learning a Sequential Policy of Efficient Actions for Tangled-Prone Parts in Robotic Bin Picking. - Lina Zhao, Shuyu Sun:
A strongly mass conservative method for the coupled Brinkman-Darcy flow and transport. - Xiaoliang Li:
Dynamics of Cournot duopoly games with quadratic costs and distinct rationality degrees. - Evripidis P. Kechagias, Dimitrios M. Miloulis, Georgios Chatzistelios, Sotiris P. Gayialis, Georgios A. Papadopoulos:
Applying a System Dynamics Approach for the Pharmaceutical Industry: Simulation and Optimization of the Quality Control Process. - Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Abhijeet Ghosh, Stefanos Zafeiriou:
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs. - (Withdrawn) You Only Need End-to-End Training for Long-Tailed Recognition.
- A. Karim Abu-Affash, Paz Carmi, Meytal Maman:
Piercing Pairwise Intersecting Geodesic Disks by Five Points. - (Withdrawn) Overcoming Restraint: Composing Verification of Foreign Functions with Cogent.
- Adrian Wiltz, Fei Chen, Dimos V. Dimarogonas:
Iterative Distributed Model Predictive Control in the Presence of Coupling State Constraints. - Esha Banerjee, Atul Kr. Ojha, Girish Nath Jha:
Prosody Labelled Dataset for Hindi using Semi-Automated Approach. - (Withdrawn) CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation.
- Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. - Bing Zhou, Matias Aiskovich, Sinem Güven Kaya:
Acoustic Sensing-based Hand Gesture Detection for Wearable Device Interaction. - Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Active Learning of Abstract System Models from Traces using Model Checking [Extended]. - Hui Lin, Xiaopeng Hong, Yabin Wang:
Object Counting: You Only Need to Look at One. - Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong:
The Price of Justified Representation. - Mark Chevallier, Jacques D. Fleuriot:
Formalising the Foundations of Discrete Reinforcement Learning in Isabelle/HOL. - (Withdrawn) Delay Function with Fixed Effort Verification.
- Khang Truong Giang, Soohwan Song, Sungho Jo:
Curvature-guided dynamic scale networks for Multi-view Stereo. - Antonio Salis:
Towards the Internet of Behaviors in airports with a fog-to-cloud approach. - Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta:
Privacy Amplification via Shuffling for Linear Contextual Bandits. - Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li:
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting. - Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. - Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. - Rui Chen, Alvin Shek, Changliu Liu:
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands. - Jinfan Zhou, Jiyu Cheng, Lin Zhang, Wei Zhang:
A General Auxiliary Controller for Multi-agent Flocking. - Canze Zhu, Qunying Liao:
The construction for several few-weight linear codes and their applications. - Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou:
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. - Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan-Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. - Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad T. H. Beheshti, Amin Ramezani:
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis. - Shuanglong Kan, Anthony W. Lin, Philipp Rümmer, Micha Schrader:
CertiStr: A Certified String Solver (technical report). - Saurabh Kumar Gupta, Vikrant Malik, Abhishek K. Gupta, Jeffrey G. Andrews:
Impact of Blocking Correlation on the Performance of mmWave Cellular Networks. - Vikrant Malik, Rohan Ghosh, Mehul Motani:
Achieving Low Complexity Neural Decoders via Iterative Pruning. - Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra:
Auto-Tag: Tagging-Data-By-Example in Data Lakes. - Alexander Haig, Shirley Anugrah Hayati, Anthony Tomasic:
Real-Time Detection of Crowded Buses via Mobile Phones. - Yi Li, Yang Sun, Syed Mohsen Naqvi:
U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement. - Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. - Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. - Juan Jose Garau Luis, Skylar Eiskowitz, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron:
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges. - Yizhou Zhao, Wensi Ai, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis. - Vittorio La Barbera, Fabio Pardo, Yuval Tassa, Monica Daley, Christopher Richards, Petar Kormushev, John Hutchinson:
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion. - Michael C. Chavrimootoo, Henry B. Welles:
A Critique of Kumar's "Necessary and Sufficient Condition for Satisfiability of a Boolean Formula in CNF and Its Implications on P versus NP problem.". - Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Yakov Berchenko-Kogan:
Symmetric bases for finite element exterior calculus spaces. - Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Perceptual Loss with Recognition Model for Single-Channel Enhancement and Robust ASR. - Zeyu Zhang, Yulong Pei:
A Comparative Study on Robust Graph Neural Networks to Structural Noises. - Andrei V. Konstantinov, Lev V. Utkin:
Multi-Attention Multiple Instance Learning. - Uriel Feige, Tom Ferster:
A tight bound for the clique query problem in two rounds. - Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun:
Early Stopping for Deep Image Prior. - Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso:
UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators. - Shaoyu Chen, Fabio Miranda, Nivan Ferreira, Marcos Lage, Harish Doraiswamy, Corinne Brenner, Connor DeFanti, Michael Koutsoubis, Luc Wilson, Ken Perlin, Cláudio T. Silva:
UrbanRama: Navigating Cities in Virtual Reality. - Yitao Chen, Deepanshu Vasal:
Convergence of Generalized Belief Propagation Algorithm on Graphs with Motifs. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Anomaly Detection in Blockchain Networks: A Comprehensive Survey. - Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. - Javad PourMostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck:
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts. - Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty:
CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks. - Jeffrey M. Connors, Kenneth C. Sockwell:
A Multirate Discontinuous-Galerkin-in-Time Framework for Interface-Coupled Problems. - Pedro Machado, Eiman Kanjo, Andreas Oikonomou, Ahmad Lotfi:
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector. - Pei Yu, Yinpeng Chen, Ying Jin, Zicheng Liu:
Improving Vision Transformers for Incremental Learning. - Zekun Li, Runyu Guan, Qianmu Yu, Yao-Yi Chiang, Craig A. Knoblock:
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection. - Donsuk Lee, Pranav Gujarathi, Justin N. Wood:
Controlled-rearing studies of newborn chicks and deep neural networks. - Weisong Wen, Li-Ta Hsu:
3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons. - Yu Feng, Jing Zhang, Xiaokang Zhang, Lemao Liu, Cuiping Li, Hong Chen:
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models. - Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. - Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong:
Stereoscopic Universal Perturbations across Different Architectures and Datasets. - Joel Flax-Hatch, Sanjana Srabanti, Fabio Miranda, Apostolis Sambanis, Michael D. Cailas:
Visualizing Environmental Justice Issues in Urban Areas with a Community-based Approach. - Maryam Hosseini, Iago Breno Araujo, Hamed Yazdanpanah, Eric K. Tokuda, Fabio Miranda, Cláudio T. Silva, Roberto M. Cesar Jr.:
Sidewalk Measurements from Satellite Images: Preliminary Findings. - Neofytos Dimitriou, Ognjen Arandjelovic:
Magnifying Networks for Images with Billions of Pixels. - Claudio Santos, Maryam Hosseini, João Rulff, Nivan Ferreira, Luc Wilson, Fabio Miranda, Cláudio T. Silva, Marcos Lage:
A Visual Analytics System for Profiling Urban Land Use Evolution. - Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Extending AdamW by Leveraging Its Second Moment and Magnitude. - Olivia Weng:
Neural Network Quantization for Efficient Inference: A Survey. - Zoltán Nagy, Kingsley Nweye:
Real-world challenges for reinforcement learning in building control. - Jianpeng Qi, Rui Wang:
R2: A Distributed Remote Function Execution Mechanism With Built-in Metadata. - Letian Wang, Yeping Hu, Changliu Liu:
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. - Santanu Rathod:
On reducing the order of arm-passes bandit streaming algorithms under memory bottleneck. - Chengxin Wang, Yuxuan Liang, Gary Tan:
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting. - Zhihua Hu, Bo Duan, Yanfeng Zhang, Mingwei Sun, Jingwei Huang:
MVLayoutNet: 3D layout reconstruction with multi-view panoramas. - Tanya G. Roosta, Peyman Passban, Ankit Chadha:
Communication-Efficient Federated Learning for Neural Machine Translation. - Cong Sun, Xinpeng Xu, Yafei Wu, Dongrui Zeng, Gang Tan, Siqi Ma:
CryptoEval: Evaluating the Risk of Cryptographic Misuses in Android Apps with Data-Flow Analysis. - Lin Wan, Qianyan Jing, Zongyuan Sun, Chuang Zhang, Zhihang Li, Yehansen Chen:
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification. - Alex Renda, Yi Ding, Michael Carbin:
Programming with Neural Surrogates of Programs. - Sunwoo Kim, Soohyun Kim, Seungryong Kim:
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer. - Nikolaj Tatti:
Fast computation of distance-generalized cores using sampling. - Nikolaj Tatti:
Maintaining AUC and H-measure over time. - Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-supervised Domain Adaptive Structure Learning. - Kazuma Tateiri, Toru Ohmoto:
An extended MMP algorithm (I): wavefront and cut-locus on a convex polyhedron. - Hang Jiang, Doug Beeferman, Weiquan Mao, Deb Roy:
Topic Detection and Tracking with Time-Aware Document Embeddings. - Praveen K, Lokesh Kumar T, A. N. Rajagopalan:
Deep network for rolling shutter rectification. - Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Youngho Yoon, Wooseong Jeong, Kuk-Jin Yoon:
Pixel-wise Deep Image Stitching. - Danny Hermelin, Yuval Itzhaki, Hendrik Molter, Rolf Niedermeier:
Temporal Unit Interval Independent Sets. - Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li:
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution. - Praveen Kandula, A. N. Rajagopalan:
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention. - Akanksha Saxena, J. P. Jaiswal, K. R. Pardasani:
Extended Local Convergence for Seventh order method with ψ-continuity condition in Banach Spaces. - Changgyoon Oh, Wonjune Cho, Daehee Park, Yujeong Chae, Lin Wang, Kuk-Jin Yoon:
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning. - Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun:
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation. - Changsheng Lu, Piotr Koniusz:
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. - Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang:
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. - Jibesh Patra, Michael Pradel:
Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks. - Rahul Yesantharao, Yiqiu Wang, Laxman Dhulipala, Julian Shun:
Parallel Batch-Dynamic kd-Trees. - Yuliang Wei, Haotian Li, Guodong Xin, Yao Wang, Bailing Wang:
MPLR: a novel model for multi-target learning of logical rules for knowledge graph reasoning. - Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran:
Multimodal-based Scene-Aware Framework for Aquatic Animal Segmentation. - Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation. - Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. - Danny Weyns, M. Usman Iftikhar:
Report on A Formally-Founded Model-Based Approach to Engineer Self-Adaptive Systems. - Tejumade Afonja, Oladimeji Mudele, Iroro Orife, Kenechi Dukor, Lawrence Francis, Duru Goodness, Oluwafemi Azeez, Ademola Malomo, Clinton Mbataku:
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus. - Davide Micale, Gianpiero Costantino, Ilaria Matteucci, Giuseppe Patanè, Giampaolo Bella:
Secure Routine: A Routine-Based Algorithm for Drivers Identification. - Jin Zhang, Xiaoqi Ma:
Supercloseness of the NIPG method for a singularly perturbed convection diffusion problem on Shishkin mesh. - Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. - Zhangjie Peng, Zhiwei Chen, Cunhua Pan, Gui Zhou, Hong Ren:
Robust Transmission Design for RIS-Aided Communications with Both Transceiver Hardware Impairments and Imperfect CSI. - Shayan Aziznejad, Joaquim Campos, Michael Unser:
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total-Variation. - Alin Deutsch, Nadime Francis, Alastair Green, Keith W. Hare, Bei Li, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Wim Martens, Jan Michels, Filip Murlak, Stefan Plantikow, Petra Selmer, Hannes Voigt, Oskar van Rest, Domagoj Vrgoc, Mingxi Wu, Fred Zemke:
Graph Pattern Matching in GQL and SQL/PGQ. - Henrik Tilkorn, Gabriel Mittag, Sebastian Möller:
Visualising and Explaining Deep Learning Models for Speech Quality Prediction. - Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu:
Demystifying Developers' Issues in Distributed Training of Deep Learning Software. - Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Pascale Fung:
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. - Xinran Zhang, Zhimin He, Yaohua Sun, Shuo Yuan, Mugen Peng:
Joint Sensing, Communication, and Computation Resource Allocation for Cooperative Perception in Fog-Based Vehicular Networks. - Nikolaj Tatti:
Approximation algorithms for confidence bands for time series. - Xu Wang, Qiwen Xu:
A simple proof of three properties on Simpson's 4-slot Algorithm. - Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang:
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. - Ao Liu, Congjian Luo, Naoaki Okazaki:
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation. - Zelin Zhang, Anthony J. Yezzi, Guillermo Gallego:
Image Reconstruction from Events. Why learn it? - Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. - Minhao Liu, Zhijian Xu, Qiang Xu:
DeepFIB: Self-Imputation for Time Series Anomaly Detection. - Shihan Dou, Yueming Wu, Wenxuan Li, Feng Cheng, Wei Yang, Yang Liu:
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner. - S. Ilker Birbil, Sinan Yildirim, Kaya Gokalp, M. Hakan Akyüz:
Learning with Subset Stacking. - Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-free Knowledge Distillation. - Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou:
Sinan: Data Driven Resource Management for Cloud Microservices. - Mostafa Rezapour:
Hidden Effects of COVID-19 on Healthcare Workers: A Machine Learning Analysis. - Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. - Dhruv Sahnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty:
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks. - Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. - Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor, Tingfung Lau, Stefano Ermon:
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces. - Alexandru Uta, Bogdan Ghit, Ankur Dave, Jan S. Rellermeyer, Peter A. Boncz:
In-Memory Indexed Caching for Distributed Data Processing. - Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao:
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. - Kaito Fujii, Shinsaku Sakaue:
Algorithmic Bayesian persuasion with combinatorial actions. - Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu:
Bayesian Persuasion for Algorithmic Recourse. - Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart:
Fairness for Robust Learning to Rank. - Zhisong Zhang, Yizhe Zhang, Bill Dolan:
Towards More Efficient Insertion Transformer with Fractional Positional Encoding. - Z. Keskin:
Optimal Partitions for Nonparametric Multivariate Entropy Estimation. - David Belgrod, Bolun Wang, Zachary Ferguson, Marco Attene, Daniele Panozzo, Teseo Schneider:
Scalable and Conservative Continuous Collision Detection. - Aaron Rumack, Ryan J. Tibshirani, Roni Rosenfeld:
Recalibrating probabilistic forecasts of epidemics. - Dylan Stewart, Shawn Johnson, Alina Zare:
Image-to-Height Domain Translation for Synthetic Aperture Sonar. - Chia-Yu Li, Ngoc Thang Vu:
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN. - Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Lena A. Jäger, Nicolas Langer:
Reading Task Classification Using EEG and Eye-Tracking Data. - Tomer Wolfson, Jonathan Berant, Daniel Deutch:
Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. - Edwin Jimenez, Christoph Bauinger, Oscar P. Bruno:
IFGF-accelerated integral equation solvers for acoustic scattering. - Noah Rhodes, Line Roald:
The Role of Distributed Energy Resources in Distribution System Restoration. - Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren:
Contextualized Scene Imagination for Generative Commonsense Reasoning. - Joanna Boyland, Michael Hwang, Tarun Prasad, Noah Singer, Santhoshini Velusamy:
Closed-form expressions for the sketching approximability of (some) symmetric Boolean CSPs. - Guangyu Sun, Zhang Liu, Lianggong Wen, Jing Shi, Chenliang Xu:
Anomaly Crossing: A New Method for Video Anomaly Detection as Cross-domain Few-shot Learning. - Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. - Peter Snyder, Soroush Karami, Benjamin Livshits, Hamed Haddadi:
Pool-Party: Exploiting Browser Resource Pools as Side-Channels for Web Tracking. - Hiram H. López, Gretchen L. Matthews:
Multivariate Goppa codes. - Chia-Yu Li, Ngoc Thang Vu:
Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks. - Islam Akef Ebeid, John R. Talburt, Md Abdus Salam Siddique:
Graph-based hierarchical record clustering for unsupervised entity resolution. - Mark Ring:
Representing Knowledge as Predictions (and State as Knowledge). - Robert Furber, Radu Mardare, Prakash Panangaden, Dana S. Scott:
Interpreting Lambda Calculus in Domain-Valued Random Variables. - Guille D. Canas:
Faster-Than-Native Alternatives for x86 VP2INTERSECT Instructions. - Zhenghang Yuan, Lichao Mou, Zhitong Xiong, Xiaoxiang Zhu:
Change Detection Meets Visual Question Answering. - Andreas Züfle:
Probabilistic Counting in Uncertain Spatial Databases using Generating Functions. - Songgaojun Deng, Yue Ning:
A Survey on Societal Event Forecasting with Deep Learning. - Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. - Islam Akef Ebeid, Elizabeth Pierce:
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed. - Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu:
Neural Point Process for Learning Spatiotemporal Event Dynamics. - Bernard T. Agyeman, Soumya R. Sahoo, Jinfeng Liu, Sirish L. Shah:
LSTM-based model predictive control with discrete inputs for irrigation scheduling. - Soumya R. Sahoo, Bernard T. Agyeman, Sarupa Debnath, Jinfeng Liu:
Knowledge-based optimal irrigation scheduling of agro-hydrological systems. - Asangi Jayatilaka, Nathan Beu, Irina Baetu, Mansooreh Zahedi, Muhammad Ali Babar, Laura Hartley, Winston Lewinsmith:
Evaluation of Security Training and Awareness Programs: Review of Current Practices and Guideline. - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Time-of-use Pricing for Energy Storage Investment. - Jung-Hun Kim, Milan Vojnovic:
Scheduling Servers with Stochastic Bilinear Rewards. - Yunyun Huang, Xiaoyu Shen, Chuanyi Li, Jidong Ge, Bin Luo:
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer. - Yunhai Han, Rahul Batra, Nathan Boyd, Tuo Zhao, Yu She, Seth Hutchinson, Ye Zhao:
Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer. - Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Embracing Single Stride 3D Object Detector with Sparse Transformer. - Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. - Jiafan Zhuang, Yixin Zhang, Xinyu Hu, Junjie Li, Zilei Wang:
5th Place Solution for VSPW 2021 Challenge. - Allen Liu, Ankur Moitra:
Robust Voting Rules from Algorithmic Robust Statistics. - Guanbo Wang, Chijie Zhuang, Rong Zeng:
An Optimization-Accelerated Electromagnetic Time Reversal-based Fault Location Method for Power Lines with Branches. - Zhaoyang Qu, Yunchang Dong, Sylvere Mugemanyi, Tong Yu, Xiaoyong Bo, Huashun Li, Yang Li, François Xavier Rugema, Christophe Bananeza:
Dynamic Exploitation Gaussian Bare-Bones Bat Algorithm for Optimal Reactive Power Dispatch to Improve the Safety and Stability of Power System. - Yinan Wang, Wenbo Sun, Jionghua (Judy) Jin, Zhenyu James Kong, Xiaowei Yue:
WOOD: Wasserstein-based Out-of-Distribution Detection. - Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim:
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. - Rongqian Chen, Yingquan Zou, Anyong Gao, Leshi Chen:
A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar. - Ziwei Yu, Linlin Yang, Shicheng Chen, Angela Yao:
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation. - Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung:
PartGlot: Learning Shape Part Segmentation from Language Reference Games. - Ying Jin, Yinpeng Chen, Lijuan Wang, Jianfeng Wang, Pei Yu, Lin Liang, Jenq-Neng Hwang, Zicheng Liu:
Decoupling Object Detection from Human-Object Interaction Recognition. - Jiachen Qian, Peihu Duan, Zhisheng Duan, Guanrong Chen, Ling Shi:
Consensus-Based Distributed Filtering with Fusion Step Analysis. - Leo de Castro, Rashmi Agrawal, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Chiraag Juvekar, Ajay Joshi:
Does Fully Homomorphic Encryption Need Compute Acceleration? - Yudi Li, Min Tang, Yun Yang, Zi Huang, Ruofeng Tong, Shuangcai Yang, Yao Li, Dinesh Manocha:
N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks. - Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Shaping Visual Representations with Attributes for Few-Shot Learning. - Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. - Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. - Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. - Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen:
Fake Reviewer Group Detection in Online Review Systems. - J. Guo, L. Wang, F. Li, J. Xue:
CSI Feedback with Model-Driven Deep Learning of Massive MIMO Systems. - Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen:
Hybrid Atlas Building with Deep Registration Priors. - Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee:
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. - Chunmei Wang, Shangyou Zhang:
A Weak Galerkin Method for Elasticity Interface Problems. - Kehan Wang, Jiaxi Yang, Hongjun Wu:
A Survey of Toxic Comment Classification Methods. - Daofei Li, Guanming Liu, Bin Xiao:
Human-like Driving Decision at Unsignalized Intersections Based on Game Theory. - Shen Wang, Mehdi Nikfar, Joshua C. Agar, Yaling Liu:
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations. - Sergey Garbar:
Stochastic differential equations for limiting description of UCB rule for Gaussian multi-armed bandits. - Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu:
A Benchmark for Low-Switching-Cost Reinforcement Learning. - Gihan Jayatilaka, A. S. Jameel Hassan, Suren Sritharan, Janith Bandara Senanayaka, Harshana Weligampola, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha R. Herath, Janaka Ekanayake, Samath Dharmaratne:
Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations. - Byoung-Hee Kwon, Jeong-Hyun Cho, Byeong-Hoo Lee:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. - Aditya Ahuja, Aditya Lahiri, Aniruddha Das:
Predicting Airbnb Rental Prices Using Multiple Feature Modalities. - Harshvardhan GM, Aanchal Sahu, Mahendra Kumar Gourisaria:
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs. - Pratibha Shakya:
Error analysis for finite element approximations to the parabolic optimal control problem with measure data in a nonconvex polygon. - Ximing Yang, Cheng Jin:
Generate Point Clouds with Multiscale Details from Graph-Represented Structures. - Suiyi He, Jun Zeng, Koushil Sreenath:
Competitive Car Racing with Multiple Vehicles using a Parallelized Optimization with Safety Guarantee. - K. R. Chowdhary:
Software-Hardware Evolution and birth of Multicore Processors. - Jiachen Xu, James Zimmer-Dauphinee, Quan Liu, Yuxuan Shi, Steven A. Wernke, Yuankai Huo:
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes. - Neoklis Polyzotis, Matei Zaharia:
What can Data-Centric AI Learn from Data and ML Engineering? - Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata:
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility. - Namgyu Park, Sangwoo Ji, Jong Kim:
Detecting Audio Adversarial Examples with Logit Noising. - Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. - Yu Cao:
Plurality and Quantification in Graph Representation of Meaning. - Srinivas Vivek:
Comments on "A Privacy-Preserving Online Ride-Hailing System Without Involving a Third Trusted Server". - Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou:
Semantically Contrastive Learning for Low-light Image Enhancement. - Akane Minami, Yu Kono, Tatsuji Takahashi:
Contextual Exploration Using a Linear Approximation Method Based on Satisficing. - Ángel Longueira-Romero, Rosa Iglesias, Jose Luis Flores, Iñaki Garitano:
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics. - Namgil Kim, Barom Kang, Yeonok Cho:
Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance. - Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. - Tasnim Sakib Apon, Mushfiqul Islam Chowdhury, Md. Zubair Reza, Arpita Datta, Syeda Tanjina Hasan, Md. Golam Rabiul Alam:
Real Time Action Recognition from Video Footage. - Md. Manjurul Ahsan, Zahed Siddique:
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review. - Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim:
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. - Injy Hamed, Alia El Bolock, Nader Rizk, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
Predicting User Code-Switching Level from Sociological and Psychological Profiles. - Young-Seok Kweon, Gi-Hwan Shin:
Possibility of Sleep Induction using Auditory Stimulation based on Mental States. - Abal-Kassim Cheik Ahamed, Frederic Magoules:
Accelerated solution of Helmholtz equation with Iterative Krylov Methods on GPU. - Xin Li, Qiao Liu, Wenjie Pei, Qiuhong Shen, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang:
An Informative Tracking Benchmark. - Masaaki Fukasawa, Takuto Ugai:
Limit distributions for the discretization error of stochastic Volterra equations. - Boseong Felipe Jeon, Changhyeon Kim, Hojoon Shin, H. Jin Kim:
Aerial Chasing of a Dynamic Target in Complex Environments. - Yubo Qin, Ivan Rodero, Manish Parashar:
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery. - Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. - Tamanna Hossain, Sarjana Shabab, A. S. M. Badrudduza, Milton Kumar Kundu, Imran Shafique Ansari:
On the Physical Layer Security Performance over RIS-aided Dual-hop RF-UOWC Mixed Network. - Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. - Shusheng Xu, Yichen Liu, Xiaoyu Yi, Siyuan Zhou, Huizi Li, Yi Wu:
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension. - Ruitianyi Lu, Kehao Wang:
Max-Min Energy-Efficiency Fair Optimization in STAR-RIS Assisted System. - Jon Crowcroft, Hamed Haddadi, Arthur Gervais, Tristan Henderson:
Proof of Steak. - Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu:
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs. - Yuesong Tian, Li Shen, Dacheng Tao, Zhifeng Li, Wei Liu:
DGL-GAN: Discriminator Guided Learning for GAN Compression. - Subhash Bhagat, Abhinav Chakraborty, Bibhuti Das, Krishnendu Mukhopadhyaya:
Gathering over Meeting Nodes in Infinite Grid. - Mrinal Rawat, Diptesh Kanojia:
Automated Evidence Collection for Fake News Detection. - Maxim K. Surkov, Vladislav D. Mosin, Ivan P. Yamshchikov:
Do Data-based Curricula Work? - Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. - Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta:
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. - Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. - N. Lakmal Deshapriya, Dan Tran, Sriram Reddy, Kavinda Gunasekara:
Centroid-UNet: Detecting Centroids in Aerial Images. - Jan MacDonald, Stephan Wäldchen:
A Complete Characterisation of ReLU-Invariant Distributions. - Junjun Hu, Yanhao Zhu, Bo Zhao, Jiexin Zheng, Chenxu Zhao, Xiangyu Zhu, Kangle Wu, Darun Tang:
Makeup216: Logo Recognition with Adversarial Attention Representations. - Youngho Yoon, Inchul Chung, Lin Wang, Kuk-Jin Yoon:
SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation. - Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. - Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Jacek Komorowski:
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity. - Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
A Study on Token Pruning for ColBERT. - Ioannis Chatzigeorgiou:
Spark Optimization of Linear Codes for Reliable Data Delivery by Relay Drones. - Akshay Punjabi, Pablo Izquierdo-Ayala:
Efficient spatio-temporal weather forecasting using U-Net. - Monina Schwarz, Matthias Marx, Hannes Federrath:
A Structured Analysis of Information Security Incidents in the Maritime Sector. - Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI. - Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang:
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning. - Fábio Malcher Miranda, Niklas Köhnecke, Bernhard Y. Renard:
HiClass: a Python library for local hierarchical classification compatible with scikit-learn. - Giorgio Maria Di Nunzio, Federica Vezzani:
One Size Fits All: A Conceptual Data Model for Any Approach to Terminology. - Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca:
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. - Hugo Lefeuvre, Vlad-Andrei Badoiu, Alexander Jung, Stefan Teodorescu, Sebastian Rauch, Felipe Huici, Costin Raiciu, Pierre Olivier:
FlexOS: Towards Flexible OS Isolation. - Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P. Barrett:
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs. - Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu:
Triangle Attack: A Query-efficient Decision-based Adversarial Attack. - Takeyoshi Nagasato, Kei Ishida, Ali Ercan, Tongbi Tu, Masato Kiyama, Motoki Amagasaki, Kazuki Yokoo:
Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling. - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, William Lochet, Nidhi Purohit, Kirill Simonov:
How to Find a Good Explanation for Clustering? - Samuel Teuber, Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Geometric Path Enumeration for Equivalence Verification of Neural Networks. - Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten:
Active learning with MaskAL reduces annotation effort for training Mask R-CNN. - Borja Freire, Susana Ladra, José R. Paramá, Leena Salmela:
ViQUF: de novo Viral Quasispecies reconstruction using Unitig-based Flow networks. - Fadi Boutros, Meiling Fang, Marcel Klemt, Biying Fu, Naser Damer:
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability. - Si-Nian Jin, Dian-Wu Yue, Ha H. Nguyen:
RIS-Aided Cell-Free Massive MIMO Systems: Joint Design of Transmit Beamforming and Phase Shifts. - Zichen He, Lu Dong, Chunwei Song, Changyin Sun:
Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots. - Hang Zhou, Ali Mahdavi-Amiri, Rui Ma, Hao Zhang:
SAC-GAN: Structure-Aware Image-to-Image Composition for Self-Driving. - Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz:
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. - Sebastian P. Bayerl, Aniruddha Tammewar, Korbinian Riedhammer, Giuseppe Riccardi:
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations. - Ana C. M. Brito, Filipi Nascimento Silva, Diego R. Amancio:
Analyzing the influence of prolific collaborations on authors productivity and visibility. - Jonathan Prieto-Cubides:
On Homotopy of Walks and Spherical Maps in Homotopy Type Theory. - Daniel Russo, Andrés R. Masegosa, Klaas-Jan Stol:
From Anecdote to Evidence: The Relationship Between Personality and Need for Cognition of Developers. - Christian Cachin, Jovana Micic, Nathalie Steinhauer:
Quick Order Fairness. - Jonas Thies, Melven Röhrig-Zöllner, Achim Basermann:
(R)SE challenges in HPC. - Daniel Mitchell, Jamie Blanche, Samuel Harper, Theodore Lim, Ranjeetkumar Gupta, Osama Zaki, Wenshuo Tang, Valentin Robu, Simon Watson, David Flynn:
A Review: Challenges and Opportunities for Artificial Intelligence and Robotics in the Offshore Wind Sector. - Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb:
ROMEO: Exploring Juliet through the Lens of Assembly Language. - Tong Su, Yu Meng, Yan Xu:
Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network. - Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli:
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. - Dan Kluser, Jonas Bokstaller, Samuel Rutz, Tobias Buner:
Fast Single-Core K-Nearest Neighbor Graph Computation. - Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Peng Chu, Quanzeng You, Jiang Wang, Zicheng Liu, Zhengjun Zha:
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation. - Jonathan Prieto-Cubides, Håkon Robbestad Gylterud:
On Planarity of Graphs in Homotopy Type Theory. - Eimear Byrne, Violetta Weger:
Bounds in the Lee Metric and Optimal Codes. - Bahman Moraffah:
Bayesian Nonparametric View to Spawning. - Aparup Khatua, Wolfgang Nejdl:
Unraveling Social Perceptions & Behaviors towards Migrants on Twitter. - Marcos Eduardo Valle, Fidelis Zanetti de Castro:
On the Dynamics of Hopfield Neural Networks on Unit Quaternions. - Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. - Xi-An Li, Zhi-Qin John Xu, Lei Zhang:
Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs. - Amin Shokri Gazafroudi, Elisabeth Zeyen, Martha Frysztacki, Fabian Neumann, Tom Brown:
Long-Term Benefits for Renewables Integration of Network Boosters for Corrective Grid Security. - Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. - Alessandro Finamore, James Roberts, Massimo Gallo, Dario Rossi:
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching. - Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz:
Tree-Based Dynamic Classifier Chains. - Ricardo Ampudia Hernández, Talia Xu, Yanqiu Huang, Marco Antonio Zúñiga Zamalloa:
Firefly: Supporting Drone Localization With Visible Light Communication. - Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle:
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis. - Roland Becker, Maximilian Brunner, Michael Innerberger, Jens Markus Melenk, Dirk Praetorius:
Goal-oriented adaptive finite element method for semilinear elliptic PDEs. - Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Jiangchuan Liu:
Optimal Rate Adaption in Federated Learning with Compressed Communications. - Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya:
Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing. - Dong Liang, Qixiang Geng, Zongqi Wei, Dmitry A. Vorontsov, Ekaterina L. Kim, Mingqiang Wei, Huiyu Zhou:
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images. - Cong Sun, Yuwan Ma, Dongrui Zeng, Gang Tan, Siqi Ma, Yafei Wu:
μDep: Mutation-based Dependency Generation for Precise Taint Analysis on Android Native Code. - Diana C. Pauca-Quispe, Cinthya Butron-Revilla, Ernesto Suarez-Lopez, Karla Aranibar-Tila, Jesús S. Aguilar-Ruiz:
Land use identification through social network interaction. - Marc Kassubeck, Moritz Kappel, Susana Castillo, Marcus A. Magnor:
N-SfC: Robust and Fast Shape Estimation from Caustic Images. - Shiping Li, Min Cao, Min Zhang:
Learning Semantic-Aligned Feature Representation for Text-based Person Search. - Yansheng Wu, Yoonjin Lee, Qiang Wang:
Further improvement on index bounds. - Yansheng Wu, Jong Yoon Hyun, Yoonjin Lee:
Characterization of p-ary functions in terms of association schemes and its applications. - Guodong Ma, Pengfei Hu, Nurmemet Yolwas, Shen Huang, Hao Huang:
PM-MMUT: Boosted Phone-mask Data Augmentation using Multi-modeing Unit Training for Robust Uyghur E2E Speech Recognition. - Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang:
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. - Anastasia Zhukova, Felix Hamborg, Bela Gipp:
ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts. - Dan Stowell:
Computational bioacoustics with deep learning: a review and roadmap. - Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin:
Safe Linear Leveling Bandits. - Yizhong Zhang, Jiaolong Yang, Zhen Liu, Ruicheng Wang, Guojun Chen, Xin Tong, Baining Guo:
VirtualCube: An Immersive 3D Video Communication System. - Qianchu Liu, Diana McCarthy, Anna Korhonen:
Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets. - Wei-Lin Liao, Wei-Yun Ma:
Roof-BERT: Divide Understanding Labour and Join in Work. - Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li:
Long-tail Recognition via Compositional Knowledge Transfer. - Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel:
Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. - Youshan Zhang:
A Survey of Unsupervised Domain Adaptation for Visual Recognition. - Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan:
Probability Density Estimation Based Imitation Learning. - Rina Buoy, Nguonly Taing, Sovisal Chenda:
Khmer Text Classification Using Word Embedding and Neural Networks. - Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord:
Step-unrolled Denoising Autoencoders for Text Generation. - Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. - Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos:
Adaptation through prediction: multisensory active inference torque control. - M. Vivienne Liu, Bo Yuan, Zongjie Wang, Jeffrey A. Sward, K. Max Zhang, C. Lindsay Anderson:
An Open Source Representation for the NYS Electric Grid to Support Power Grid and Market Transition Studies. - John Zielke, Christine Eilers, Benjamin Busam, Wolfgang Weber, Nassir Navab, Thomas Wendler:
RSV: Robotic Sonography for Thyroid Volumetry. - Zuzana Haniková:
Rational Pavelka logic: the best among three worlds? - Roozbeh Yousefzadeh:
A Homotopy Algorithm for Optimal Transport. - Alejandro Morales Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas-Gonzalez, Jeroen Jordens, Maarten Witters, Bart Van Doninck:
Multi-objective simulation optimization of the adhesive bonding process of materials. - Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou:
Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning. - Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad B. Benosman:
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow. - Keisuke Kimura, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Mean-square-error-based secondary source placement in sound field synthesis with prior information on desired field. - Fabio Casati, Pierre-André Noël, Jie Yang:
On the Value of ML Models. - Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Keyphrase Generation Beyond the Boundaries of Title and Abstract. - (Withdrawn) Explanation Container in Case-Based Biomedical Question-Answering.
- Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, Domenec Puig:
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. - Tom Werner:
On using the complex step method for the approximation of Fréchet derivatives of matrix functions in automorphism groups. - Tareq Hossen, Fahmid Sadeque:
On Stability, Ancillary Services, Operation, and Security of Smart Inverters. - Arved Bartuska, Luis Espath, Raúl Tempone:
Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty. - Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato:
Depth Uncertainty Networks for Active Learning. - Nasif Imtiaz, Aniqa Khanom, Laurie A. Williams:
Open or Sneaky? Fast or Slow? Light or Heavy?: Investigating Security Releases of Open Source Packages. - Bálint Takács, István Faragó, Róbert Horváth, Dusan Repovs:
Qualitative properties of space-dependent SIR models with constant delay and their numerical solutions. - Michael P. J. Camilleri, Li Zhang, Rasneer S. Bains, Andrew Zisserman, Christopher K. I. Williams:
Tracking and Long-Term Identification Using Non-Visual Markers. - Peter-Jan Gootzen, Animesh Trivedi:
Bento and the Art of Repeated Research. - Engin Zeydan, Yekta Turk, Berkin Aksoy, Yaman Yagiz Tasbag:
Post-Quantum Era in V2X Security: Convergence of Orchestration and Parallel Computation. - Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. - Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. - Stefan Wittschieber, Leszek F. Demkowicz, Marek Behr:
Stabilized finite element methods for a fully-implicit logarithmic reformulation of the Oldroyd-B constitutive law. - Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho:
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy. - Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. - Jake Cherry, Alan E. Lindsay, Adrian Navarro Hernandez, Bryan D. Quaife:
Trapping of Planar Brownian Motion: Full First Passage Time Distributions by Kinetic Monte-Carlo, Asymptotic and Boundary Integral Methods. - Purboday Ghosh, Shashank Shekhar, Ulrich Münz, Gabor Karsai:
Peer-to-Peer Communication Trade-Offs for Smart Grid Applications. - Rafael Grompone von Gioi, Ignacio Ramírez Paulino, Gregory Randall:
The whole and the parts: the MDL principle and the a-contrario framework. - Mohammad Shafaet Islam, Qiqi Wang:
Scheduled Relaxation Jacobi schemes for non-elliptic partial differential equations. - Nirmal Sobha Kartha, Clément Gautrais, Vincent Vercruyssen:
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection. - Tyler Millhouse, Melanie Moses, Melanie Mitchell:
Frontiers in Collective Intelligence: A Workshop Report. - Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou:
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. - Timothy Stevens, Christian Skalka, Christelle Vincent, John H. Ring, Samuel Clark, Joseph P. Near:
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. - Domenico Cotroneo, Luigi De Simone, Roberto Natella, Roberto Pietrantuono, Stefano Russo:
Software Micro-Rejuvenation for Android Mobile Systems. - Marcello Cinque, Domenico Cotroneo, Luigi De Simone, Stefano Rosiello:
Virtualizing Mixed-Criticality Systems: A Survey on Industrial Trends and Issues. - Eugene Yu Ji:
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry. - Joshua Vander Hook, Federico Rossi, Tiago Vaquero, Martina Troesch, Marc Sanchez Net, Joshua Schoolcraft, Jean-Pierre de la Croix, Steve A. Chien:
Multi-Robot On-site Shared Analytics Information and Computing. - Bibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa:
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions. - Raphael Y. Cohen, Vesela P. Kovacheva:
A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform to Facilitate Healthcare AI Research. - Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos, Wing H. Ng, Anthony J. Kenyon, George A. Constantinides, Adnan Mehonic:
Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks. - Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh:
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. - Wei Miao, Vignesh Narayanan, Jr-Shin Li:
Interpretable Design of Reservoir Computing Networks using Realization Theory. - Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor:
Locally Fair Partitioning. - Eleuterio F. Toro, Cristóbal E. Castro, Davide Vanzo, Annunziato Siviglia:
A flux-vector splitting scheme for the shallow water equations extended to high-order on unstructured meshes. - Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. - Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui:
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Tim Brooks, Alexei A. Efros:
Hallucinating Pose-Compatible Scenes. - Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao:
DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points. - Lior Kalman, Robert Krauthgamer:
Flow Metrics on Graphs. - Mao Luo, Chu-Min Li, Xinyun Wu, Shuolin Li, Zhipeng Lü:
Branching Strategy Selection Approach Based on Vivification Ratio. - Yang Bai, Lixing Chen, Shaolei Ren, Jie Xu:
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement. - Letitia Sabburg, Alan Woodley, Kerrie L. Mengersen:
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty. - Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee:
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. - Shailza Jolly, Pepa Atanasova, Isabelle Augenstein:
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. - Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah:
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study. - Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato:
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not. - Alara Dirik, Hilal Dönmez, Pinar Yanardag:
Controlled Cue Generation for Play Scripts. - Jerrit Eickhoff, Jesse Donkervliet, Alexandru Iosup:
Meterstick: Benchmarking Performance Variability in Cloud and Self-hosted Minecraft-like Games Extended Technical Report. - Umut Kocasari, Alperen Bag, Efehan Atici, Pinar Yanardag:
Exploring Latent Dimensions of Crowd-sourced Creativity. - Haiyang Han, Nikos Hardavellas:
Public Release and Validation of SPEC CPU2017 PinPoints. - Benedikt Ahrens, Ralph Matthes, Anders Mörtberg:
Implementing a Category-Theoretic Framework for Typed Abstract Syntax. - Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich:
On The Reliability Of Machine Learning Applications In Manufacturing Environments. - Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon:
Event-guided Deblurring of Unknown Exposure Time Videos. - Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas:
Analyzing a Caching Model. - Kristin Sheridan, Joseph Berleant, Mark Bathe, Anne Condon, Virginia Vassilevska Williams:
Factorization and pseudofactorization of weighted graphs. - I. V. Mitin, R. A. Korotaev, A. A. Ermolaev, Victor B. Kazantsev:
Biomorphic propulsion system diving thunniform robotic fish. - Fahmid Sadeque, Tareq Hossen:
On Control Schemes of Voltage Source Converters. - Joseph Berleant, Kristin Sheridan, Anne Condon, Virginia Vassilevska Williams, Mark Bathe:
Isometric Hamming embeddings of weighted graphs. - Achintya Gopal:
ELF: Exact-Lipschitz Based Universal Density Approximator Flow. - Federico M. Funes, José Ignacio Alvarez-Hamelin, Mariano G. Beiró:
Designing weighted and multiplex networks for deep learning user geolocation in Twitter. - Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman:
Acceleration techniques for optimization over trained neural network ensembles. - Han Dong, Sanjay Arora, Yara Awad, Tommy Unger, Orran Krieger, Jonathan Appavoo:
Slowing Down for Performance and Energy: An OS-Centric Study in Network Driven Workloads. - Marco Rasetto, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Ryad Benosman:
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition. - Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh:
PantheonRL: A MARL Library for Dynamic Training Interactions. - Hojat Asgarian Dehkordi, Ali Soltani Nezhad, Hossein Kashiani, Shahriar Baradaran Shokouhi, Ahmad Ayatollahi:
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning. - Carlos Henrique Cardonha, André Augusto Ciré, Lucas Correia Villa Real:
On Exact and Approximate Policies for Linear Tape Scheduling in Data Centers. - Lennart Bamberg, Arash Pourtaherian, Luc Waeijen, Anupam Chahar, Orlando Moreira:
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators. - Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva:
Learning Body-Aware 3D Shape Generative Models. - Ameet Gadekar, Bruno Ordozgoiti, Suhas Thejaswi:
Approximation algorithms for k-median with lower-bound constraints. - Jack Dibachi, Jacob Azoulay:
Teaching a Robot to Walk Using Reinforcement Learning. - Luis Rojas Rubio, Claudio Meneses Villegas:
Framework para Caracterizar Fake News en Terminos de Emociones. - Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Survey of Generative Methods for Social Media Analysis. - Zachary Izzo, James Zou, Lexing Ying:
How to Learn when Data Gradually Reacts to Your Model. - Ahmad Basheer Hassanat, Ghada Awad Altarawneh, Ahmad S. Tarawneh:
Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic. - Noel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul, Sunny Consolvo, Patrick Gage Kelley, Nathan Malkin, Michelle L. Mazurek, Manya Sleeper, Kurt Thomas:
SoK: A Framework for Unifying At-Risk User Research. - André Coelho, Helder Fontes, Rui Campos, Manuel Ricardo:
Placement and Allocation of Communications Resources in Slicing-aware Flying Networks. - Andrés G. Marrugo, Atilio Bustos-González, Edgar Ruerda:
The state of optics research in Colombia: a scientometric analysis. - MohammadHossein Bateni, Hossein Esfandiari, Rajesh Jayaram, Vahab S. Mirrokni:
Optimal Fully Dynamic k-Centers Clustering. - Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello, Chris Bizon, Matthew H. Brush, Tiffany J. Callahan, Christopher G. Chute, William D. Duncan, Chris T. A. Evelo, Davera Gabriel, John B. Graybeal, Alasdair J. G. Gray, Benjamin M. Gyori, Melissa A. Haendel, Henriette Harmse, Nomi L. Harris, Ian Harrow, Harshad Hegde, Amelia L. Hoyt, Charles Tapley Hoyt, Dazhi Jiao, Ernesto Jiménez-Ruiz, Simon Jupp, Hyeongsik Kim, Sebastian Köhler, Thomas Liener, Qinqin Long, James Malone, James A. McLaughlin, Julie A. McMurry, Sierra A. T. Moxon, Monica C. Munoz-Torres, David Osumi-Sutherland, James A. Overton, Bjoern Peters, Tim E. Putman, Núria Queralt-Rosinach, Kent A. Shefchek, Harold Solbrig, Anne E. Thessen, Tania Tudorache, Nicole A. Vasilevsky, Alex H. Wagner, Christopher J. Mungall:
A Simple Standard for Sharing Ontological Mappings (SSSOM). - Sakthi Kumar Arul Prakash, Conrad S. Tucker:
Graph network for simultaneous learning of forward and inverse physics. - Csaba Veres:
Language Models are not Models of Language. - Majdi I. Radaideh, Katelin Du, Paul Seurin, Devin Seyler, Xubo Gu, Haijia Wang, Koroush Shirvan:
NEORL: NeuroEvolution Optimization with Reinforcement Learning. - Honglu Jiang, S. M. Sarwar, Haotian Yu, Sheikh Ariful Islam:
Differentially Private Data Publication with Multi-level Data Utility. - William J. Layton, Shuxian Xu:
Unconditional stability in 3d of a sparse grad-div approximation of the Navier-Stokes equations. - Niall Roche, Walter Hernández, Eason Chen, Jérôme Siméon, Dan Selman:
Ergo - a programming language for Smart Legal Contracts. - Victor Grishchenko, Mikhail A. Patrakeev, S. Q. Locke III:
Swarm consensus. - Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish:
Continual Learning In Environments With Polynomial Mixing Times. - Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. - Arturo Vargas, Thomas M. Stitt, Kenneth Weiss, Vladimir Z. Tomov, Jean-Sylvain Camier, Tzanio V. Kolev, Robert N. Rieben:
Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA. - Mia Chiquier, Chengzhi Mao, Carl Vondrick:
Real-Time Neural Voice Camouflage. - Hersh Sanghvi, Camillo Jose Taylor:
Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models. - Takahiko Furuya, Ryutarou Ohbuchi:
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold. - Delio Jaramillo-Velez, Hiram H. López, Yuriko Pitones:
Relative generalized Hamming weights of evaluation codes. - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Study of Linear Precoding and Power Allocation for Large Multiple-Antenna Systems with Coarsely Quantized Signals. - Meng Zhou:
Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic Algorithm. - Bastian Wandt, James J. Little, Helge Rhodin:
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses. - Nikhil Patel, James Hale, Kanika Jindal, Apoorva Sharma, Yichun Yu:
Building on Huang et al. GlossBERT for Word Sense Disambiguation. - Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R. R. A. Martins, Karen Willcox, Omar Ghattas:
Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. - Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo, Zhongyong Wang, Jiangtao Xi, Yanguang Yu, Yonghui Li:
Grant Free MIMO-NOMA with Differential Modulation for Machine Type Communications. - Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Chen Chen:
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game. - Jie Zhu, Huabin Huang, Banghuai Li, Leye Wang:
ES-CRF: Embedded Superpixel CRF for Semantic Segmentation. - Jiahao Dai, Jing-Wen Yi, Li Chai:
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks. - Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek:
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation. - Ruichen Wang, Dinesh Manocha:
Dynamic Coherence-Based EM Ray Tracing Simulations in Vehicular Environments. - Junho Koh, Jaekyum Kim, Jinhyuk Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi:
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. - Yan Hao Ling, Jonathan Scarlett:
Simple Coding Techniques for Many-Hop Relaying. - Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin:
Recognition of Tactile-related EEG Signals Generated by Self-touch. - Erich Wolff, Matthew French, Noor Ilhamsyah, Mere Jane Sawailau, Diego Ramirez-Lovering:
Collaborating with communities: Citizen Science Flood Monitoring in Urban Informal Settlements. - Yuanlong Yue, Hao-Yang Wen, Xin Zuo, Mao Sheng, Fu-Chao Sun:
Output fusion of MPC and PID and its application in intelligent layered water injection of oilfield. - Jean Belo Klamti, M. Anwar Hasan:
A code-based hybrid signcryption scheme. - Yujie Liu, Chao Yang:
VPVnet: a velocity-pressure-vorticity neural network method for the Stokes' equations under reduced regularity. - Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez:
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. - Zhuo Li:
Explore Long-Range Context feature for Speaker Verification. - Chaofeng Guan, Ruihu Li, Liangdong Lu, Yu Yao:
New Binary Quantum Codes Constructed from Quasi-Cyclic Codes. - Mohak Goyal:
Secretary Matching With Vertex Arrivals and No Rejections. - Shunkai Zhu, Jingyi Wang, Jun Sun, Jie Yang, Xingwei Lin, Liyi Zhang, Peng Cheng:
Better Pay Attention Whilst Fuzzing. - Toru Shimizu, Kota Tsubouchi, Takahiro Yabe:
GEO-BLEU: Similarity Measure for Geospatial Sequences. - Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong:
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset. - Hyung-Ju Ahn, Dae-Hyeok Lee:
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. - Alan Edelman, Sungwoo Jeong:
On the structure of the solutions to the matrix equation G*JG=J. - Qiwei Feng, Bin Han, Michelle Michelle:
Sixth Order Compact Finite Difference Method for 2D Helmholtz Equations with Singular Sources and Reduced Pollution Effect. - Parikshit Ram, Kaushik Sinha:
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement. - Jonathan B. Conroy, Csaba D. Tóth:
Hop-Spanners for Geometric Intersection Graphs. - Zhengye Yang, Mingfei Sun, Hongzhe Ye, Zihao Xiong, Gil Zussman, Zoran Kostic:
Birds Eye View Social Distancing Analysis System. - Mingqi Yang, Rui Li, Yanming Shen, Heng Qi, Baocai Yin:
Improving Spectral Graph Convolution for Learning Graph-level Representation. - Hideaki Iiduka:
Minimization of Stochastic First-order Oracle Complexity of Adaptive Methods for Nonconvex Optimization. - Lokesh Bommisetty, T. G. Venkatesh:
Contention Based Proportional Fairness (CBPF) Transmission Scheme for Time Slotted Channel Hopping Networks. - Jaromír Savelka, Kevin D. Ashley:
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. - Venkata Sitaram. A, Venkatesh T. G, Arun George, Manivasakan. R, Bhasker Dappuri:
Performance evaluation of the QOS provisioning ability of IEEE 802.11e WLAN standard for multimedia traffic. - Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell:
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation. - Jihoon Cha, Junil Choi, David J. Love:
Practical Distributed Reception for Wireless Body Area Networks Using Supervised Learning. - Bowen Zhang, Jiahui Yu, Christopher Fifty, Wei Han, Andrew M. Dai, Ruoming Pang, Fei Sha:
Co-training Transformer with Videos and Images Improves Action Recognition. - Cagri Kilic, Shounak Das, Eduardo Gutierrez, Ryan M. Watson, Jason N. Gross:
ZUPT Aided GNSS Factor Graph with Inertial Navigation Integration for Wheeled Robots. - Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. - Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen, Jun Shen, Brian Yecies:
Blockchain Developments and Innovations. - Volodymyr Kuleshov, Shachi Deshpande:
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation. - Abolfazl Lavaei, Luigi Di Lillo, Andrea Censi, Emilio Frazzoli:
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach. - Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. - Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama:
Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings. - Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li:
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation. - Shanshan Wang, Chenglong Xiao:
Algorithms for enumerating connected induced subgraphs of a given order. - Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. - Ruili Feng, Cheng Ma, Chengji Shen, Xin Gao, Zhenjiang Liu, Xiaobo Li, Kairi Ou, Zhengjun Zha:
Weakly Supervised High-Fidelity Clothing Model Generation. - Shanshan Wang, Chenglong Xiao, Emmanuel Casseau:
An algorithm with improved delay for enumerating connected induced subgraphs of a large cardinality. - Johnathan Chiu:
Modeling Image Quantization Tradeoffs for Optimal Compression. - Ji-Seon Bang, Seong-Whan Lee:
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. - Boxuan Zhang, Chao Wei, Yan Jin, Weiru Zhang:
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval. - Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. - Sungbae Yoo, Jinbum Park, Seolheui Kim, Yeji Kim, Taesoo Kim:
In-Kernel Control-Flow Integrity on Commodity OSes using ARM Pointer Authentication. - YeongHyeon Park, JoonSung Lee, Myung Jin Kim, Wonseok Park:
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection. - Hendrik Fichtenberger, Monika Henzinger, Andreas Wiese:
On fully dynamic constant-factor approximation algorithms for clustering problems. - Emmett D. Goodman, Krishna K. Patel, Yilun Zhang, William Locke, Chris J. Kennedy, Rohan Mehrotra, Stephen Ren, Melody Y. Guan, Maren Downing, Hao Wei Chen, Jevin Z. Clark, Gabriel A. Brat, Serena Yeung:
A real-time spatiotemporal AI model analyzes skill in open surgical videos. - Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. - Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan, Min Sun:
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module. - Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu:
Exploring Category-correlated Feature for Few-shot Image Classification. - Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki:
Margin Calibration for Long-Tailed Visual Recognition. - Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang:
Unsupervised feature selection via self-paced learning and low-redundant regularization. - Milena Mihail, Thorben Tröbst:
Online Matching with High Probability. - Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida:
Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation. - Andrew Adamatzky, Phil Ayres, Alexander E. Beasley, Nic Roberts, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Han A. B. Wösten:
Logics in fungal mycelium networks. - Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen:
Composing MPC with LQR and Neural Networks for Efficient and Stable Control. - Avelino Javer, Owen Parsons, Oliver Carr, Janie Baxter, Christian Diedrich, Eren Elçi, Steffen Schaper, Katrin Coboeken, Robert Dürichen:
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks. - Na Zhao, Gim Hee Lee:
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection. - Chirag Ramesh Srivatsa, Chandra R. Murthy:
On the Impact of Channel Estimation on the Design and Analysis of IRSA based Systems. - Qiao Lan, Qunsong Zeng, Petar Popovski, Deniz Gündüz, Kaibin Huang:
Progressive Feature Transmission for Split Inference at the Wireless Edge. - Yifan Niu, Weihong Deng:
Federated Learning for Face Recognition with Gradient Correction. - Padala Manisha, Sujit Gujar:
Mechanism Design without Money for Fair Allocations. - Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun:
TopNet: Learning from Neural Topic Model to Generate Long Stories. - Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien:
Quantifying Multimodality in World Models. - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems. - Jianjian Cao, Xiameng Qin, Sanyuan Zhao, Jianbing Shen:
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering. - Luc Lesoil, Mathieu Acher, Arnaud Blouin, Jean-Marc Jézéquel:
The Interaction between Inputs and Configurations fed to Software Systems: an Empirical Study. - Pengkun Liu, Yaru Yue, Yanjun Guo, Xingxiang Tao, Xiaoguang Zhou:
SNF: Filter Pruning via Searching the Proper Number of Filters. - Kranthi Kumar Lella, P. J. A. Alphonse:
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice. - Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat:
Levels of Autonomous Radiology. - Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov:
Why you should learn functional basis. - Paulo Emílio de Vilhena, François Pottier:
Verifying a Minimalist Reverse-Mode AD Library. - Tao Chen, Miqing Li:
MMO: Meta Multi-Objectivization for Software Configuration Tuning. - Dmitri Kuzmin, Jan-Phillip Bäcker:
An unfitted finite element method using level set functions for extrapolation into deformable diffuse interfaces. - Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki:
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval. - Hongyi Zhang, Jingya Li, Zhiqiang Tyler Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson:
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning. - Wenyi Lian, Shanglian Peng:
Kernel-aware Raw Burst Blind Super-Resolution. - Qing Wang, Youyou Lu, Jiwu Shu:
Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory. - Maxime Bombar, Alain Couvreur:
Right-hand side decoding of Gabidulin code and applications. - Emilio Tanowe Maddalena, Silvio A. Muller, Rafael M. dos Santos, Christophe Salzmann, Colin N. Jones:
Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use. - Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk:
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. - Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. - Yunhao Tang:
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning. - Ruizhi Yu, Wei Gu:
Non-Iterative Calculation of Quasi-Dynamic Energy Flow in the Heat and Electricity Integrated Energy Systems. - Han Xue, Liu Liu, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval. - Vishwajeet Kumar, Saneem A. Chemmengath, Yash Gupta, Jaydeep Sen, Samarth Bharadwaj, Soumen Chakrabarti:
Multi-Instance Training for Question Answering Across Table and Linked Text. - Yongkang Zhang, Jun Li, Guoming Wu, Han Zhang, Zhiping Shi, Zhaoxun Liu, Zizhang Wu:
Temporal Transformer Networks with Self-Supervision for Action Recognition. - Jakob Svenningsson, Nicolae Paladi, Arash Vahidi:
Speeding up enclave transitions for IO-intensive applications. - Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher J. Pal, Pierre-Yves Oudeyer:
Learning to Guide and to Be Guided in the Architect-Builder Problem. - Elie Bretin, Roland Denis, Simon Masnou, Garry Terii:
Learning phase field mean curvature flows with neural networks. - Adeyemi D. Adeoye, Alberto Bemporad:
SC-Reg: Training Overparameterized Neural Networks under Self-Concordant Regularization. - Henry Sallandt, Philipp Krah, Mathias Lemke:
Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions. - Chong Cao:
Machine Learning-based Prediction of Porosity for Concrete Containing Supplementary Cementitious Materials. - Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin:
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. - Shashwat Sharma, Piero Triverio:
Electromagnetic Modeling of Lossy Interconnects From DC to High Frequencies With a Potential-Based Boundary Element Formulation. - (Withdrawn) An Advanced Parallel PageRank Algorithm.
- Théo Zimmermann, Julien Coolen, Jason Gross, Pierre-Marie Pédrot, Gaëtan Gilbert:
Extending the team with a project-specific bot. - Youcai Zhang, Yuhao Cheng, Xinyu Huang, Fei Wen, Rui Feng, Yaqian Li, Yandong Guo:
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels. - Martin Hutzenthaler, Arnulf Jentzen, Katharina Pohl, Adrian Riekert, Luca Scarpa:
Convergence proof for stochastic gradient descent in the training of deep neural networks with ReLU activation for constant target functions. - Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. - Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao:
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. - Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke:
Answering Queries with Negation over Existential Rules. - Michael Kaminski:
A note on calculi for non-deterministic many-valued logics. - Min Seok Lee, Wooseok Shin, Sung Won Han:
TRACER: Extreme Attention Guided Salient Object Tracing Network. - Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher D. Manning, Kyoung-Gu Woo:
You Only Need One Model for Open-domain Question Answering. - Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong:
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. - Timo Spinde, Lada Rudnitckaia, Felix Hamborg, Bela Gipp:
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings. - Timo Spinde, Kanishka Sinha, Norman Meuschke, Bela Gipp:
TASSY - A Text Annotation Survey System. - Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, Helge Giese:
Do You Think It's Biased? How To Ask For The Perception Of Media Bias. - Alex Shonenkov, Denis Karachev, Maxim Novopoltsev, Mark Potanin, Denis Dimitrov, Andrey Chertok:
Handwritten text generation and strikethrough characters augmentation. - Fei Ma, Ping Wang:
Randomized Response Mechanisms for Differential Privacy Data Analysis: Bounds and Applications. - Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu:
Stochastic Actor-Executor-Critic for Image-to-Image Translation. - Théophile Champion, Marek Grzes, Howard Bowman:
Branching Time Active Inference with Bayesian Filtering. - Tim Hahn, Hamidreza Jamalabadi, Erfan Nozari, Nils R. Winter, Jan Ernsting, Marius Gruber, Marco J. Mauritz, Pascal Grumbach, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Leon Kleine Vennekate, Daniel Emden, Nils Opel, Dominik Grotegerd, Verena Enneking, Susanne Meinert, Tiana Borgers, Melissa Klug, Elisabeth J. Leehr, Katharina Dohm, Walter Heindel, Joachim Gross, Udo Dannlowski, Ronny Redlich, Jonathan Repple:
Towards a Network Control Theory of Electroconvulsive Therapy Response. - Sharwan K. Tiwari, Ambrish Awasthi, Sucheta Chakrabarti, Sudha Yadav:
INRU: A Quasigroup Based Lightweight Block Cipher. - Mengkun She, Yifan Song, Tim Weiß, Jens Greinert, Kevin Köser:
Deep Sea Bubble Stream Characterization Using Wide-Baseline Stereo Photogrammetry. - Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp:
Towards A Reliable Ground-Truth For Biased Language Detection. - Yidi Li, Hong Liu, Hao Tang:
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. - Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl:
Conjugated Discrete Distributions for Distributional Reinforcement Learning. - Changqing Xu, Yi Liu, Yintang Yang:
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold. - Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. - Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li:
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation. - Vijit Malik, Ayush Kumar, Jithendra Vepa:
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection. - Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel:
Multi-Leader Congestion Games with an Adversary. - Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
Graph Kernel Neural Networks. - Aline Normoyle, Shane T. Jensen:
Bayesian Learning of Play Styles in Multiplayer Video Games. - Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu:
An Interpretive Constrained Linear Model for ResNet and MgNet. - María Villota, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Text Classification Models for Form Entity Linking. - Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt:
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. - Jan Petr, Julien Portier, Leo Versteegen:
A faster algorithm for Cops and Robbers. - Lanlan Su, Peter J. Seiler, Joaquín Carrasco, Sei Zhen Khong:
On the Necessity and Sufficiency of Discrete-Time O'Shea-Zames-Falb Multipliers. - Donghui Chen, Ling Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang:
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting. - Yongquan Lai, Xin Tang, Yuanyuan Fu, Rui Fang:
End-to-end speaker diarization with transformer. - Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn J. Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen:
AI Ethics Principles in Practice: Perspectives of Designers and Developers. - Yufeng Zheng, Victoria Fernández Abrevaya, Xu Chen, Marcel C. Bühler, Michael J. Black, Otmar Hilliges:
I M Avatar: Implicit Morphable Head Avatars from Videos. - Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet B. Pierrehumbert:
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. - Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty:
Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis. - Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal:
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines. - Yuri Bizzoni, Telma Peura, Mads Rosendahl Thomsen, Kristoffer L. Nielbo:
Sentiment Dynamics of Success: Fractal Scaling of Story Arcs Predicts Reader Preferences. - Daniele Lain, Kari Kostiainen, Srdjan Capkun:
Phishing in Organizations: Findings from a Large-Scale and Long-Term Study. - Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri:
Reconfiguring Shortest Paths in Graphs. - Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde:
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. - Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro:
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs. - Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin:
Liquid Democracy with Ranked Delegations. - Mohammadreza Qaraei, Rohit Babbar:
Adversarial Examples for Extreme Multilabel Text Classification. - Jingyang Lin, Yingwei Pan, Rongfeng Lai, Xuehang Yang, Hongyang Chao, Ting Yao:
CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning. - Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei:
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising. - Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei:
Transferrable Contrastive Learning for Visual Domain Adaptation. - Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
A Style and Semantic Memory Mechanism for Domain Generalization. - Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze:
LMTurk: Few-Shot Learners as Crowdsourcing Workers. - Loïc Magne, Christophe Paul, Abhijat Sharma, Dimitrios M. Thilikos:
Edge-trewidth: Algorithmic and combinatorial properties. - Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse:
On Improving Resource Allocations by Sharing. - Dominik Filipiak, Piotr Tempczyk, Marek Cygan:
n-CPS: Generalising Cross Pseudo Supervision to n networks for Semi-Supervised Semantic Segmentation. - John Kallaugher, Michael Kapralov, Eric Price:
Simulating Random Walks in Random Streams. - (Withdrawn) Reinforced Abstractive Summarization with Adaptive Length Controlling.
- Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn:
Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning. - Weijia Zhang, Svitlana Vakulenko, Thilina Rajapakse, Evangelos Kanoulas:
Scaling Up Query-Focused Summarization to Meet Open-Domain Question Answering. - Thomas Gillis, Wim M. van Rees:
MURPHY - A scalable multiresolution framework for scientific computing on 3D block-structured collocated grids. - Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown:
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Étienne André, Emmanuel Coquard, Laurent Fribourg, Jawher Jerray, David Lesens:
Parametric schedulability analysis of a launcher flight control system under reactivity constraints. - Vikrant Malik, R. K. Bansal:
Sequential Change Detection through Empirical Distribution and Universal Codes. - Yu-Ching Hu, Yuliang Li, Hung-Wei Tseng:
TCUDB: Accelerating Database with Tensor Processors. - Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata:
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series. - Letitia Parcalabescu, Michele Cafagna, Lilitta Muradjan, Anette Frank, Iacer Calixto, Albert Gatt:
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena. - Cameron Hickert, Sirui Li, Cathy Wu:
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. - Meredith V. Trotter, Cuong Q. Nguyen, Stephen Young, Rob T. Woodruff, Kim M. Branson:
Epigenomic language models powered by Cerebras. - Raphaël Tinarrage:
Simplicial approximation to CW complexes in practice. - Raquel Aoki, Yizhou Chen, Martin Ester:
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation. - Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti:
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints. - Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych:
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. - (Withdrawn) Reinforcing Semantic-Symmetry for Document Summarization.
- Nitish Gupta:
Real-time SIL Emulation Architecture for Cooperative Automated Vehicles. - Mingyue Zhang, Nianyu Li, Sridhar Adepu, Eunsuk Kang, Zhi Jin:
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems. - Srimanta Mandal, Kuldeep Purohit, A. N. Rajagopalan:
Mitigating Channel-wise Noise for Single Image Super Resolution. - Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac:
Rushing and Strolling among Answer Sets - Navigation Made Easy. - Sander Noels, Benjamin Vandermarliere, Ken Bastiaensen, Tijl De Bie:
An Earth Mover's Distance Based Graph Distance Metric For Financial Statements. - Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro:
Learning to Deblur and Rotate Motion-Blurred Faces. - Emanuele La Malfa, Marta Kwiatkowska:
The King is Naked: on the Notion of Robustness for Natural Language Processing. - Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar:
Semantic Answer Type and Relation Prediction Task (SMART 2021). - Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. - Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. - Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. - Alexandros Gkillas, Dimitrios I. Kosmopoulos:
A cross-domain recommender system using deep coupled autoencoders. - Mingwen Dong, Christos Christodoulopoulos, Sheng-Min Shih, Xiaofei Ma:
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification. - Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos, Georgios Paliouras, George Giannakopoulos:
Tree-based Focused Web Crawling with Reinforcement Learning. - Qi Hao, Tianze Luo, Guangda Huzhang:
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System. - Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. - Ahmet Kurt, Enes Erdin, Kemal Akkaya, A. Selcuk Uluagac, Mumin Cebe:
D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's Lightning Network. - Kaiwen Liu, Nan Li, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard:
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios. - Zhao Song, Lichen Zhang, Ruizhe Zhang:
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time. - Marco Carbone, Sonia Marin, Carsten Schürmann:
Forwarders as Process Compatibility, Logically. - Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu:
Exploring Neural Models for Query-Focused Summarization. - Yoav Kolumbus, Noam Nisan:
How and Why to Manipulate Your Own Agent. - Pascal Fernsel, Peter Maass:
Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering. - Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Marc Pollefeys, Federica Bogo, Siyu Tang:
EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices. - Akshay Jajoo:
A study on the Morris Worm. - Ankita Pasad, Felix Wu, Suwon Shon, Karen Livescu, Kyu Jeong Han:
On the Use of External Data for Spoken Named Entity Recognition. - Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. - Jiacheng Xu, Greg Durrett:
Massive-scale Decoding for Text Generation using Lattices. - Laura Kart, Niv Cohen:
Approaches Toward Physical and General Video Anomaly Detection. - Niv Cohen, Ron Abutbul, Yedid Hoshen:
Out-of-Distribution Detection without Class Labels. - Daniel Mox, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity-Maximizing Network Configurations. - Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng:
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. - Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha:
Dual-Key Multimodal Backdoors for Visual Question Answering. - Kranthi Kumar Lella, P. J. A. Alphonse:
A literature review on COVID-19 disease diagnosis from respiratory sound data. - Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman:
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. - Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson:
Learning to Retrieve Passages without Supervision. - David D. McDonald, James Pustejovsky:
Representing Inferences and their Lexicalization. - Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart:
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. - Akshay Badola, Cherian Roy, Vineet Padmanabhan, Rajendra Prasad Lal:
Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs. - Micheal Caracciolo, Owen Casciotti, Christopher Lloyd, Ernesto Sola-Thomas, Matthew Weaver, Kyle Bielby, Md Abdul Baset Sarker, Masudul H. Imtiaz:
Autonomous Navigation System from Simultaneous Localization and Mapping. - Changsung Kang, Hongwei Shang, Jean-Marc Langlois:
Classifying Emails into Human vs Machine Category. - Aneesh Komanduri, Justin Zhan:
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. - Marian Andrecki, Nicholas K. Taylor:
Learning to track environment state via predictive autoencoding. - Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar:
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. - Xinhui Wu, Nathaniel Trask, Jesse Chan:
Entropy stable discontinuous Galerkin methods for the shallow water equations with subcell positivity preservation. - Wenrui Hao, Chunyue Zheng:
Learn bifurcations of nonlinear parametric systems via equation-driven neural networks. - Samuel Allen Alexander, Arthur Paul Pedersen:
Representation and Invariance in Reinforcement Learning. - Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands:
Split Moves for Monte-Carlo Tree Search. - Farzaneh Tatari, Chiristos G. Panayiotou, Marios M. Polycarpou:
Nonlinear Discrete-time Systems' Identification without Persistence of Excitation: A Finite-time Concurrent Learning. - Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song:
Efficient Dynamic Graph Representation Learning at Scale. - Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. - Sara Rosenthal, Mihaela A. Bornea, Avirup Sil, Radu Florian, J. Scott McCarley:
Do Answers to Boolean Questions Need Explanations? Yes. - Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman:
Filling gaps in trustworthy development of AI. - Dylan J. A. Brenneis, Adam S. R. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski:
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. - Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control with Gaussian Processes. - Tom De Smedt:
Online anti-Semitism across platforms. - Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov:
Revisiting 3D Object Detection From an Egocentric Perspective. - Puya Amiri, Arsène Pérard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack:
FLOWER: A comprehensive dataflow compiler for high-level synthesis. - Young-Suk Lee, Ramón Fernandez Astudillo, Thanh Lam Hoang, Tahira Naseem, Radu Florian, Salim Roukos:
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. - Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Shounak Das, Ryan M. Watson, Jason N. Gross:
Review of Factor Graphs for Robust GNSS Applications. - Javier de la Cruz, Ricardo Villanueva-Polanco:
Public key cryptography based on twisted dihedral group algebras. - Zhisheng Xiao, Karsten Kreis, Arash Vahdat:
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. - Zhenhan Huang, Chunheng Jiang, Pin-Yu Chen, Jianxi Gao:
Network Graph Based Neural Architecture Search. - Ehsan Imani, Wei Hu, Martha White:
Understanding Feature Transfer Through Representation Alignment. - Xiaoling Hu, Chao Chen:
Image Segmentation with Homotopy Warping. - Libo Feng, Fawang Liu, Vo V. Anh, Shanlin Qin:
Analytical and numerical investigation on the tempered time-fractional operator with application to the Bloch equation and the two-layered problem. - Christopher Jenkins, Andrew Marmaduke, Aaron Stump:
Simulating Large Eliminations in Cedille. - A. S. M. Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, Hamid Laga, Michael G. K. Jones:
Weed Recognition using Deep Learning Techniques on Class-imbalanced Imagery. - Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
Value Retrieval with Arbitrary Queries for Form-like Documents. - Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan:
Bayesian Graph Contrastive Learning. - Shiyu Su, Qiaochu Zhang, Mohsen Hassanpourghadi, Juzheng Liu, Rezwan A. Rasul, Mike Shuo-Wei Chen:
Analog/Mixed-Signal Circuit Synthesis Enabled by the Advancements of Circuit Architectures and Machine Learning Algorithms. - Shiyu Su, Qiaochu Zhang, Juzheng Liu, Mohsen Hassanpourghadi, Rezwan A. Rasul, Mike Shuo-Wei Chen:
TAFA: Design Automation of Analog Mixed-Signal FIR Filters Using Time Approximation Architecture. - Huashan Chen, Hasan Cam, Shouhuai Xu:
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity. - Angel L. Cedeño, Ricardo Albornoz, Boris I. Godoy, Rodrigo Carvajal, Juan C. Agüero:
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data. - Varsha Lohani, Anjali Sharma, Yatindra Nath Singh:
Optimal Slot Size under Various Bandwidth Distributions in the Flexible-grid Optical Networks. - Chia-Jou Ku, Li-Hsiang Shen, Kai-Ten Feng:
Reconfigurable Intelligent Surface-Empowered Self-Interference Cancellation for 6G Full-Duplex MIMO Communication Systems. - Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-class Examples With Uncertainty Estimates. - Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions. - Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. - Rui Ma, Sara Eftekharnejad, Chen Zhong, Mustafa Cenk Gursoy:
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks. - Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas, Ben Epstein, Nikita Demir, Anthony Corletti:
Fix your Models by Fixing your Datasets. - Yukio-Pegio Gunji, Yoshihiko Ohzawa, Terutaka Tanaka:
Probabilistic Logic Gate in Asynchronous Game of Life with Critical Property. - Xiao Han, Yuncong Yang, Junjie Wu:
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing. - Xingjun Li, Yizhi Zhang, Justin Leung, Chengnian Sun, Jian Zhao:
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation. - Zuguang Gao, Qianqian Ma, Tamer Basar, John R. Birge:
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games. - Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. - Shrimai Prabhumoye, Rafal Kocielnik, Mohammad Shoeybi, Anima Anandkumar, Bryan Catanzaro:
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. - Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. - Jaromír Savelka, Hannes Westermann, Karim Benyekhlef:
Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. - Shounak Das, Cagri Kilic, Ryan M. Watson, Jason N. Gross:
A Comparison of Robust Kalman Filters for Improving Wheel-Inertial Odometry in Planetary Rovers. - Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu:
Tracing Text Provenance via Context-Aware Lexical Substitution. - Jakob Prange, Nathan Schneider, Lingpeng Kong:
Oracle Linguistic Graphs Complement a Pretrained Transformer Language Model: A Cross-formalism Comparison. - Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li:
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. - Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos:
Learning to Transpile AMR into SPARQL. - Zunayed Mahmud, Paul Hungler, Ali Etemad:
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning. - Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen:
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. - Zixian Cai, Stephen M. Blackburn, Michael D. Bond, Martin Maas:
Distilling the Real Cost of Production Garbage Collectors. - Jaromír Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson:
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. - Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervised Entity Linking. - Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. - Tanya Aghazadeh, Mostafa Bagheri:
Investigating myocardial infarction and its effects in patients with urgent medical problems using advanced data mining tools. - Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data. - Yinkai Wang, Aowei Ding, Kaiyi Guan, Shixi Wu, Yuanqi Du:
Graph-based Ensemble Machine Learning for Student Performance Prediction. - Meliksah Turker, Haluk O. Bingol:
Forgiveness is an Adaptation in Iterated Prisoner's Dilemma with Memory. - Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi:
Robust Depth Completion with Uncertainty-Driven Loss Functions. - Sayan Mukherjee:
Learning Graph Partitions. - Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang:
Large Dual Encoders Are Generalizable Retrievers. - Qihan Xuan, Yaqing Wang, Chen Li:
Environmental force sensing enables robots to traverse cluttered obstacles with interaction. - Aixian Zhang, Xiaoyan Jin, Keqin Feng:
Optimal Combinatorial Neural Codes with Matched Metric δr: Characterization and Constructions. - Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li:
Homography Decomposition Networks for Planar Object Tracking. - Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai:
Decoupling Zero-Shot Semantic Segmentation. - Junaed Younus Khan, Md. Abdullah Al Alamin:
A Comparative Analysis of Machine Learning Approaches for Automated Face Mask Detection During COVID-19. - Sagnik Saha, Erik D. Demaine:
ZHED is NP-complete. - Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. - Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Shenggao Zhu, Jing Li, Dahua Lin, Chunhua Shen, Lianwen Jin:
SPTS: Single-Point Text Spotting. - Huiyu Kuang:
M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search. - Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. - Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee:
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks. - Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby:
Ten years of image analysis and machine learning competitions in dementia. - Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. - Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang:
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification. - Wenxiong Kang, Yuting Lu, Dejian Li, Wei Jia:
From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition. - Chun-Yang Zhang, Hongyu Yao, C. L. Philip Chen, Yue-Na Lin:
Graph Representation Learning via Contrasting Cluster Assignments. - Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini:
Blockchain-enabled Server-less Federated Learning. - Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif:
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices. - Benjamin Sliwa, Melina Geis, Caner Bektas, Melisa López, Preben E. Mogensen, Christian Wietfeld:
DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning. - Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. - Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. - Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai:
Transcoded Video Restoration by Temporal Spatial Auxiliary Network. - Sashikumaar Ganesan, Maneesh Kumar Singh:
An Operator-Splitting Finite Element Method for the Numerical Solution of Radiative Transfer Equation. - Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas:
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. - (Withdrawn) Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion.
- Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiri Matas:
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker. - Lakshmi Priya Muraleedharan, Ramanathan Muthuganapathy:
A learning-based approach to feature recognition of Engineering shapes. - Yichen Xie, Masayoshi Tomizuka, Wei Zhan:
Towards General and Efficient Active Learning. - Zongheng Huang, Yifan Sun, Chuchu Han, Changxin Gao, Nong Sang:
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval. - Kaiping Chen, Yepeng Jin, Anqi Shao:
Science Factionalism: How Group Identity Language Affects Public Engagement with Misinformation and Debunking Narratives on a Popular Q&A Platform in China. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Predicting Media Memorability: Comparing Visual, Textual and Auditory Features. - Tianxing Li, Rui Shi, Takashi Kanai:
Detail-aware Deep Clothing Animations Infused with Multi-source Attributes. - Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. - Annika Junker, Julia Timmermann, Ansgar Trächtler:
Data-Driven Models for Control Engineering Applications Using the Koopman Operator. - Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Background Constraint. - Dafei Yin, Jing Li, Gaosheng Wu:
Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods. - Jian-Feng Cai, Meng Huang, Dong Li, Yang Wang:
The global landscape of phase retrieval I: perturbed amplitude models. - Jian-Feng Cai, Meng Huang, Dong Li, Yang Wang:
The global landscape of phase retrieval II: quotient intensity models. - Gian Maria Campedelli, Iain J. Cruickshank, Kathleen M. Carley:
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations. - Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. - Nils Wilde, Armin Sadeghi, Stephen L. Smith:
Learning Submodular Objectives for Team Environmental Monitoring. - Bruno Sauvalle, Arnaud de La Fortelle:
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation. - Zitian Zhang, Chuhua Xian:
Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention. - Hanwen Zhu, Junyoung Jang, Xujie Si:
XCheck: a Simple, Effective and Extensible Bug Finder using micro-grammar. - Faathima Fayaza:
Service Oriented Architecture in Enterprise Application. - Ilya Olkhovsky, Alexander Okhotin:
On LL(k) linear conjunctive grammars. - Angelina L. Gokhale, Dhanya Pramod, Sudeep D. Thepade, Ravi Kulkarni:
MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep Network for Image Splicing Detection. - Xiangnan Yin, Di Huang, Zehua Fu, Yunhong Wang, Liming Chen:
Segmentation-Reconstruction-Guided Facial Image De-occlusion. - Mohit Vohra, Laxmidhar Behera:
Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments. - Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. - Anton Konev, V. S. Khlebnikov, A. Yu. Yakimuk:
Speech frame implementation for speech analysis and recognition. - Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere, José G. Moreno, Senja Pollak:
Named entity recognition architecture combining contextual and global features. - Lewis McMillan, Graham D. Bruce, Kishan Dholakia:
Meshless Monte Carlo Radiation Transfer Method for Curved Geometries using Signed Distance Functions. - Xiqi Yang, Kewei Yang, Kang Chen, Weidong Zhang, Weiwei Xu:
LookinGood^π: Real-time Person-independent Neural Re-rendering for High-quality Human Performance Capture. - Thórhildur Thorleiksdóttir, Cédric Renggli, Nora Hollenstein, Ce Zhang:
Dynamic Human Evaluation for Relative Model Comparisons. - Binh Minh Le, Simon S. Woo:
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images. - Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari:
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization. - Justin Hellermann, Stefan Lessmann:
Leveraging Image-based Generative Adversarial Networks for Time Series Generation. - Surbhi Madan, Monika Gahalawat, Tanaya Guha, Ramanathan Subramanian:
Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics. - Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling:
Funnels: Exact maximum likelihood with dimensionality reduction. - Amit Bracha, Noam Rotstein, David Bensaïd, Ron Slossberg, Ron Kimmel:
Depth Refinement for Improved Stereo Reconstruction. - Kyosuke Shimada, Kazuhiro Kazama, Mitsuo Yoshida, Ikki Ohmukai, Sho Sato:
Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter. - Lia Gander, Simone Pezzuto, Ali Gharaviri, Rolf Krause, Paris Perdikaris, Francisco Sahli Costabal:
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification. - Yuebing Liang, Guan Huang, Zhan Zhao:
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach. - Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner:
Photonic neuromorphic computing using vertical cavity semiconductor lasers. - Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni:
Cognition-aware Cognate Detection. - Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang:
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. - Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low:
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems. - Shubao Zhang:
Towards Controllable Agent in MOBA Games with Generative Modeling. - Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning. - Christoph Minixhofer, Ondrej Klejch, Peter Bell:
Mask-combine Decoding and Classification Approach for Punctuation Prediction with real-time Inference Constraints. - Neri Merhav:
Encoding Individual Source Sequences for the Wiretap Channel. - Eimear Byrne, Giuseppe Cotardo:
Tensor Codes and their Invariants. - Han Ma, Chenming Li, Jianbang Liu, Jiankun Wang, Max Q.-H. Meng:
Enhance Connectivity of Promising Regions for Sampling-based Path Planning. - Alexander Von Tottleben, Cornelius Ihle, Moritz Schubotz, Bela Gipp:
Academic Storage Cluster. - Pengfei Pei, Xianfeng Zhao, Jinchuan Li, Yun Cao, Xiaowei Yi:
Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos. - Byoung-Ju Jeon, Shaoming He:
Information-Weighted Consensus Filter with Partial Information Exchange. - Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang:
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue. - Carlo Marcati, Christoph Schwab:
Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations. - Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei:
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration. - Heng Zhang:
Characterizing the Program Expressive Power of Existential Rule Languages. - Bowen Yang, Cong Han, Yu Li, Lei Zuo, Zhou Yu:
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information. - Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong:
Faster Nearest Neighbor Machine Translation. - Manuel Senge, Timour Igamberdiev, Ivan Habernal:
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. - Franco Oberti, Alessandro Savino, Ernesto Sánchez, Filippo Parisi, Stefano Di Carlo:
EXT-TAURUM P2T: an Extended Secure CAN-FD Architecture for Road Vehicles. - Mael Leroux, Orestes Gutierrez Al-Khudhairy, Nicolas Perony, Simon W. Townsend:
Chimpanzee voice prints? Insights from transfer learning experiments from human voices. - Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue:
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution. - Emad Ibrahim, Rickard Nilsson, Jaap van de Beek:
Binary Polarization Shift Keying with Reconfigurable Intelligent Surfaces. - Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. - Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. - Gwangbin Bae, Ignas Budvytis, Roberto Cipolla:
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. - Nakayiza Hellen, Ggaliwango Marvin:
Interpretable Feature Learning Framework for Smoking Behavior Detection. - Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. - Minxing Zheng, Xinran Miao, Kris Sankaran:
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation. - Yulong Li, Martin Franz, Md. Arafat Sultan, Bhavani Iyer, Young-Suk Lee, Avirup Sil:
Learning Cross-Lingual IR from an English Retriever. - Francesco D'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou:
Planning with Biological Neurons and Synapses. - Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren:
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery. - Asmelash Teka Hadgu, Abel Aregawi, Adam Beaudoin:
Lesan - Machine Translation for Low Resource Languages. - Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang:
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. - Furkan Luleci, F. Necati Catbas, Onur Avci:
Generative Adversarial Networks for Labelled Vibration Data Generation. - Furkan Luleci, F. Necati Catbas, Onur Avci:
Generative Adversarial Networks for Data Generation in Structural Health Monitoring. - Igor János, Wanda Benesova:
Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network. - Jing Li, Yuangang Pan, Ivor W. Tsang:
Taming Overconfident Prediction on Unlabeled Data from Hindsight. - Daniel Varona, Luiz Fernando Capretz:
Using the DELPHI Method for Model for Role Assignment in the Software Industry. - Marlini Simoes, C. Braithwaite, A. Makaya, Emilio Martínez-Pañeda:
Modelling fatigue crack growth in Shape Memory Alloys. - Michal Feldman, Galia Shabtai, Aner Wolfenfeld:
Two-Price Equilibrium. - María Jesús Cano-Martínez, Miguel Carrasco, Joaquín Sandoval, César González-Martín:
Quantitative analysis of visual representation of sign elements in COVID-19 context. - Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan:
Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics. - Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo:
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. - Miroslav Krstic:
Inverse Optimal Safety Filters. - Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network. - Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. - Setareh Ariafar, Justin Gilmer, Zachary Nado, Jasper Snoek, Rodolphe Jenatton, George E. Dahl:
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach. - Xiaoxuan Wang, Rolf Stadler:
Online Feature Selection for Efficient Learning in Networked Systems. - Arianna Falbo, Travis LaCroix:
Est-ce que vous compute? Code-switching, cultural identity, and AI. - Nikolaus Nova Parulian, Lan Li, Bertram Ludäscher:
or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams. - Juan Camilo Vásquez-Correa, Juan Carlos Guerrero-Sierra, Jose Luis Pemberty-Tamayo, Juan Esteban Jaramillo, Andres Felipe Tejada-Castro:
One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots. - Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk:
Causality in Requirements Artifacts: Prevalence, Detection, and Impact. - Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su:
KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. - Louise Zetterlund, Deepika Tiwari, Martin Monperrus, Benoit Baudry:
Harvesting Production GraphQL Queries to Detect Schema Faults. - Eyke Hüllermeier:
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities. - Matija Sipek, D. Muharemagic, Branko Mihaljevic, Aleksander Radovan:
Next-generation Web Applications with WebAssembly and TruffleWasm. - Ben Goertzel:
Reflective Metagraph Rewriting as a Foundation for an AGI "Language of Thought". - Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. - Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black:
Putting People in their Place: Monocular Regression of 3D People in Depth. - Junfeng Wu, Yi Jiang, Wenqing Zhang, Xiang Bai, Song Bai:
SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation. - Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav V. Marathe, Achla Marathe, Stephen G. Eubank, Michael S. Bernstein:
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. - Filippos Gouidis, Theodoris Patkos, Antonis A. Argyros, Dimitris Plexousakis:
Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study. - Martin Zagar, Matija Sipek, Nikola Draskovic, Branko Mihaljevic:
Distributed Applications in Gamification of the Learning Process. - Eric Evert, Lieven De Lathauwer:
Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor. - Wen Lai, Jindrich Libovický, Alexander Fraser:
Improving both domain robustness and domain adaptability in machine translation. - Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Decomposing Natural Logic Inferences in Neural NLI. - Marius Bozga, Radu Iosif, Joseph Sifakis:
Verification of Component-based Systems with Recursive Architectures. - Ali Mohammad Lavasani, Denis Pankratov:
Advice Complexity of Online Non-Crossing Matching. - Rui Zhang, Shihua Zhang:
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime. - Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer:
A recursive eigenspace computation for the Canonical Polyadic decomposition. - Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu:
On the Convergence and Robustness of Adversarial Training. - Illés Horváth, András Mészáros, Miklós Telek:
Optimized numerical inverse Laplace transformation. - Xuezhi Wang, Haohan Wang, Diyi Yang:
Measure and Improve Robustness in NLP Models: A Survey. - Yash Mahalwal, Pawel Pratyush, Yogesh Poonia:
Nirikshak: An Autonomous Testing Framework. - Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz, Jonathan May, Ahmad Beirami:
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance. - Yinan He, Lu Sheng, Jing Shao, Ziwei Liu, Zhaofan Zou, Zhizhi Guo, Shan Jiang, Curitis Sun, Guosheng Zhang, Keyao Wang, Haixiao Yue, Zhibin Hong, Wanguo Wang, Zhenyu Li, Qi Wang, Zhenli Wang, Ronghao Xu, Mingwen Zhang, Zhiheng Wang, Zhenhang Huang, Tianming Zhang, Ningning Zhao:
ForgeryNet - Face Forgery Analysis Challenge 2021: Methods and Results. - Qing Lyu, Hua Zheng, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch:
Is "my favorite new movie" my favorite movie? Probing the Understanding of Recursive Noun Phrases. - Sai Muralidhar Jayanthi, Varsha Embar, Karthik Raghunathan:
Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog. - Yun Shen, Xinlei He, Yufei Han, Yang Zhang:
Model Stealing Attacks Against Inductive Graph Neural Networks. - Lei Zuo, Kun Qian, Bowen Yang, Zhou Yu:
AllWOZ: Towards Multilingual Task-Oriented Dialog Systems for All. - Matija Sipek, Martin Zagar, Branko Mihaljevic, Nikola Draskovic:
Application of Blockchain Technology for Educational Platform. - Martin Josifoski, Nicola De Cao, Maxime Peyrard, Robert West:
GenIE: Generative Information Extraction. - Qingyang Wu, Song Feng, Derek Chen, Sachindra Joshi, Luis A. Lastras, Zhou Yu:
DG2: Data Augmentation Through Document Grounded Dialogue Generation. - Travis Mandel, Mark Jimenez, Emily Risley, Taishi Nammoto, Rebekka Williams, Max Panoff, Meynard Ballesteros, Bobbie Suarez:
Reliable Multi-Object Tracking in the Presence of Unreliable Detections. - Andrew Wang, Mohit Sudhakar, Yangfeng Ji:
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings. - Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. - Kun Qian, Ahmad Beirami, Satwik Kottur, Shahin Shayandeh, Paul A. Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Database Search Results Disambiguation for Task-Oriented Dialog Systems. - Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, Holger Schwenk, Peng-Jen Chen, Changhan Wang, Sravya Popuri, Juan Miguel Pino, Jiatao Gu, Wei-Ning Hsu:
Textless Speech-to-Speech Translation on Real Data. - Alexey Pustynnikov, Dmitry Eremeev:
Estimating Uncertainty For Vehicle Motion Prediction on Yandex Shifts Dataset. - Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth:
Design Challenges for a Multi-Perspective Search Engine. - Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao:
3D Question Answering. - Badr AlKhamissi, Akshay Srinivasan, Zeb-Kurth Nelson, Sam Ritter:
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy. - Farnaz Behnia, Dominik Karbowski, Vadim Sokolov:
Deep Generative Models for Vehicle Speed Trajectories. - Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. - Xiao Han, Leye Wang, Junjie Wu:
Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach. - Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan:
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. - Fei Ye, Adrian G. Bors:
Lifelong Generative Modelling Using Dynamic Expansion Graph Model. - Matija Sipek, Martin Zagar, Branko Mihaljevic:
Blockchain as an IoT intermediary. - Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long:
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. - Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. - Thuan Pham, Xingpeng Li:
Neural Network-based Power Flow Model. - Tejas Y. Deo, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Apoorva N. Khairnar, Hrushikesh S. Khade:
A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations. - Alphonsus Adu-Bredu:
Contact simulation of a 2D Bipedal Robot kicking a ball. - Jonas Pesente, Paulo Henrique Galassi, Leonardo Rodrigues, Felipe Crestani, Guilherme Justino, Rodrigo A. Ramos:
An approach for the aggregation of power system controllers with different topologies. - James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel:
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. - Vassilis Papaspirou, Maria Papathanasaki, Leandros Maglaras, Ioanna Kantzavelou, Christos Douligeris, Mohamed Amine Ferrag, Helge Janicke:
Cybersecurity Revisited: Honeytokens meet Google Authenticator. - Ramanathan Subramanian, Yan Yan, Nicu Sebe:
Expert and Crowd-Guided Affect Annotation and Prediction. - Weichao Zhou, Wenchao Li:
Programmatic Reward Design by Example. - Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao:
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. - Tom Beucler, Michael S. Pritchard, Janni Yuval, Ankitesh Gupta, Liran Peng, Stephan Rasp, Fiaz Ahmed, Paul A. O'Gorman, J. David Neelin, Nicholas J. Lutsko, Pierre Gentine:
Climate-Invariant Machine Learning. - Ambreen Hanif:
Towards Explainable Artificial Intelligence in Banking and Financial Services. - Khushnaseeb Roshan, Aasim Zafar:
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP). - Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. - Niclas Boehmer, Robert Bredereck, André Nichterlein:
Combating Collusion Rings is Hard but Possible. - Tamás G. Molnár, Adam K. Kiss, Aaron D. Ames, Gábor Orosz:
Safety-Critical Control with Input Delay in Dynamic Environment. - Henrik Høiness, Kristoffer Gjerde, Luca Oggiano, Knut Erik Teigen Giljarhus, Massimiliano Ruocco:
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas. - Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom:
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. - Negev Shekel Nosatzki:
Approximating the Longest Common Subsequence problem within a sub-polynomial factor in linear time. - Valter Luís Estevam Junior, Rayson Laroca, Hélio Pedrini, David Menotti:
Dense Video Captioning Using Unsupervised Semantic Information. - Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin:
Leveraging the structure of dynamical systems for data-driven modeling. - Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Rethinking Nearest Neighbors for Visual Classification. - Molly Jane Nicholas, Brian A. Smith, Rajan Vaish:
Friendscope: Exploring In-the-Moment Experience Sharing on Camera Glasses via a Shared Camera. - Witold Sosnowski, Anna Wróblewska, Piotr Gawrysiak:
Applying SoftTriple Loss for Supervised Language Model Fine Tuning. - Xun Yuan, Derek Pham, Sam Davidson, Zhou Yu:
ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction. - Mingyang Zhou, Mahasweta Chakraborti, Sijia Qian, Zhou Yu, Jingwen Zhang:
Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation Posts Detection on Social Media. - Simon J. Porter, Daniel W. Hook:
Connecting Scientometrics: Dimensions as a route to broadening context for analyses. - Sean O'Toole, Cameron Sewell, Hoda Mehrpouyan:
IoT Security and Safety Testing Toolkits for Water Distribution Systems. - Ilkka Kivimäki, Bram Van Moorter, Manuela Panzacchi, Jari Saramäki, Marco Saerens:
Maximum likelihood estimation for randomized shortest paths with trajectory data. - Patrick Henning, Anna Persson:
On optimal convergence rates for discrete minimizers of the Gross-Pitaevskii energy in LOD spaces. - Gulshan Saleem, Nisar Ahmed, Usman Qamar:
Text Mining Through Label Induction Grouping Algorithm Based Method. - Ammar Haydari, H. Michael Zhang, Chen-Nee Chuah, Jane MacFarlane, Sean Peisert:
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset. - Pedro Aceves, James A. Evans:
Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth. - Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag:
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation. - Amir Shakouri, Nima Assadian:
A Framework for Prescribed-Time Control Design via Time-Scale Transformation. - Simone Fobi, Joel Mugyenyi, Nathaniel J. Williams, Vijay Modi, Jayant Taneja:
Predicting Levels of Household Electricity Consumption in Low-Access Settings. - Md Asaduzzaman Noor, Sean Yaw, Binhai Zhu, John W. Sheppard:
Optimal Grain Mixing is NP-Complete. - Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams:
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. - Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini:
OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms. - Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. - Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O'Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider:
DocAMR: Multi-Sentence AMR Representation and Evaluation. - Lars Diening, Johannes Storn, Tabea Tscherpel:
Interpolation Operator on negative Sobolev Spaces. - Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. - Volodymyr Denysiuk, Olena Hryshko:
About some aspects of function interpolation by trigonometric splines. - Thomas Sutter:
FirmwareDroid: Security Analysis of the Android Firmware EcoSystem. - Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig:
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning. - Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Inference. - Boris Baeumer, Mihály Kovács, Matthew Parry:
A Higher Order Resolvent-positive Finite Difference Approximation for Fractional Derivatives. - Seth Kulick, Neville Ryant, Beatrice Santorini:
Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis. - Kieran Wood, Sven Giegerich, Stephen J. Roberts, Stefan Zohren:
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture. - Robert Bain:
Visualizing the Loss Landscape of Winning Lottery Tickets. - Albert W. Reed, Thomas E. Blanford, Daniel C. Brown, Suren Jayasuriya:
Implicit Neural Representations for Deconvolving SAS Images. - Brian Gaudet, Roberto Furfaro:
Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker. - Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. - Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. - Vivek Iyer, Lalit Mohan Sanagavarapu, Raghu Reddy:
A framework for syntactic and semantic quality evaluation of ontologies. - Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn S. Conger, Ahmed S. Elsayed, Martha Palmer, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge. - Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik:
Learning Rich Representation of Keyphrases from Text. - Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico:
Prosody-Aware Neural Machine Translation for Dubbing. - Tu-San Pham, Antoine Legrain, Patrick De Causmaecker, Louis-Martin Rousseau:
A prediction-based approach for online dynamic radiotherapy scheduling. - Sheng Xu, Xiaojun Wan:
Neural Content Extraction for Poster Generation of Scientific Papers. - Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. - Lalit Mohan Sanagavarapu, Vivek Iyer, Raghu Reddy:
A Deep Learning Approach for Ontology Enrichment from Unstructured Text. - Yi Fang, Pingping Chen, Yong Liang Guan, Francis C. M. Lau, Yonghui Li, Guanrong Chen:
Protograph-based Bit-Interleaved Coded Modulation: A Promising Bandwidth-Efficient Design Paradigm. - Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Gaurav Singh Tomar:
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. - Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu:
Block-Skim: Efficient Question Answering for Transformer. - Kaitong Zheng, Ruijie Meng, Chengshi Zheng, Xiaodong Li, Jinqiu Sang, Juanjuan Cai, Jie Wang:
EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network. - Yusheng Wang, Weiwei Song, Yidong Lou, Yi Zhang, Fei Huang, Zhiyong Tu, Qiangsheng Liang:
Rail Vehicle Localization and Mapping with LiDAR-Vision-Inertial-GNSS Fusion. - Huihui Cao, Hengguang Li, Nianyu Yi, Peimeng Yin:
An adaptive finite element method for two-dimensional elliptic equations with line Dirac sources. - Kui Du, Xiaohui Sun:
Randomized regularized extended Kaczmarz algorithms for tensor recovery. - Hongzhun Wang, Feng Huang, Wen Zhang:
HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction. - Seo-Hyun Lee, Young Eun Lee, Seong-Whan Lee:
Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions. - Sweta Agrawal, Julia Kreutzer, Colin Cherry:
Can Multilinguality benefit Non-autoregressive Machine Translation? - Rathijit Sen, Abhishek Roy, Alekh Jindal:
Predictive Price-Performance Optimization for Serverless Query Processing. - Ting Li, Bin Wang:
Geometric continuous-stage exponential energy-preserving integrators for charged-particle dynamics in a magnetic field from normal to strong regimes. - Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Haemin Lee, Hyunhee Cho, Soyi Jung, Joongheon Kim:
The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets. - Weijie Zheng, Yufei Liu, Benjamin Doerr:
A First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). - Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. - Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. - Thomas Miconi:
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning. - Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen:
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules. - Asad Ali, Samin Rahman Khan, Sadman Sakib, Md. Shohrab Hossain, Ying-Dar Lin:
Federated 3GPP Mobile Edge Computing Systems: A Transparent Proxy for Third Party Authentication with Application Mobility Support. - Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat:
Idiomatic Expression Paraphrasing without Strong Supervision. - Amal Alabdulkarim, Winston Li, Lara J. Martin, Mark O. Riedl:
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning. - Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach:
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. - Wenbin Dong, Yingjie Liu, Hansong Tang:
Accuracy Enhancing Interface Treatment Algorithm: the Back and Forth Error Compensation and Correction method. - Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl:
Guiding Neural Story Generation with Reader Models. - Sawyer Thomas, Jeffrey Lipton:
Reprogrammable Surfaces Through Star Graph Metamaterials. - Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen:
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. - Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski:
Use Image Clustering to Facilitate Technology Assisted Review. - (Withdrawn) Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection.
- Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. - Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! - Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang:
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. - Shuai S. A. Yuan, Zi He, Xiaoming Chen, Chongwen Huang, Wei E. I. Sha:
Electromagnetic Effective Degree of Freedom of a MIMO System in Free Space. - Peya Mowar, Mini Jain, Ruchika Goel, Dinesh Kumar Vishwakarma:
Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning. - Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. - Pedram Hosseini, David A. Broniatowski, Mona T. Diab:
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification. - Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick:
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. - Thabang Mathonsi, Terence L. van Zyl:
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling. - Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. - Lei Wang:
Analysis and Evaluation of Kinect-based Action Recognition Algorithms. - Adel Nikfarjam, Aneta Neumann, Frank Neumann:
On the Use of Quality Diversity Algorithms for The Traveling Thief Problem. - (Withdrawn) CDRec: Cayley-Dickson Recommender.
- Ohad Rubin, Jonathan Herzig, Jonathan Berant:
Learning To Retrieve Prompts for In-Context Learning. - Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. - Wei Sui, Teng Chen, Jiaxin Zhang, Jiao Lu, Qian Zhang:
Road-aware Monocular Structure from Motion and Homography Estimation. - Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur:
Analyzing the Limits of Self-Supervision in Handling Bias in Language. - Xiaoying Wu, Dimitri Theodoratos:
Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs. - Shiming Chen, Ziming Hong, Guo-Sen Xie, Jian Zhao, Hao Li, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. - Zachariah Carmichael, Tim Moon, Sam Ade Jacobs:
Learning Interpretable Models Through Multi-Objective Neural Architecture Search. - Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. - Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
Extreme Zero-Shot Learning for Extreme Text Classification. - Davis Yoshida, Kevin Gimpel:
Reconsidering the Past: Optimizing Hidden States in Language Models. - Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
Learning to Prompt for Continual Learning. - Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu:
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution. - Yuling Gu, Bhavana Dalvi Mishra, Peter Clark:
DREAM: Uncovering Mental Models behind Language Models. - Yadong Xi, Jiashu Pu, Xiaoxi Mao:
Taming Repetition in Dialogue Generation. - Shuichi Katsumata, Takahiro Matsuda, Wataru Nakamura, Kazuma Ohara, Kenta Takahashi:
Revisiting Fuzzy Signatures: Towards a More Risk-Free Cryptographic Authentication System based on Biometrics. - Shojiro Ushiyama, Tsubasa Takahashi, Masashi Kudo, Hayato Yamana:
Construction of Differentially Private Summaries over Fully Homomorphic Encryption. - Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal:
MAVE: A Product Dataset for Multi-source Attribute Value Extraction. - Shashank Shekhar, Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani:
Joint Power-control and Antenna Selection in User-Centric Cell-Free Systems with Mixed Resolution ADC. - Richard Yuanzhe Pang, He He, Kyunghyun Cho:
Amortized Noisy Channel Neural Machine Translation. - V. Sinitsin, O. Ibryaeva, V. Sakovskaya, V. Eremeeva:
Intelligent Bearing Fault Diagnosis Method Combining Mixed Input and Hybrid CNN-MLP model. - Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. - Rajat Arora:
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity. - Zhi Gu, Zhengchun Zhou, Avik Ranjan Adhikary, Yanghe Feng, Pingzhi Fan:
Asymptotically Optimal Golay-ZCZ Sequence Sets with Flexible Length. - Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen:
Graph Augmentation-Free Contrastive Learning for Recommendation. - Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico:
Isometric MT: Neural Machine Translation for Automatic Dubbing. - Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun:
META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification. - Kevin Fang:
Ruta: Dis-aggregated routing system over multi-cloud. - Akari Asai, Matt Gardner, Hannaneh Hajishirzi:
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. - Tong Chen, Zhan Ma:
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning. - Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick:
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription. - Evert Klaseboer, Qiang Sun:
Helmholtz equation and non-singular boundary elements applied to multi-disciplinary physical problems. - Richard Shin, Benjamin Van Durme:
Few-Shot Semantic Parsing with Language Models Trained On Code. - Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Multi-Agent Reinforcement Learning. - Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. - Maximilien Gadouleau, Luca Mariot, Stjepan Picek:
Bent Functions in the Partial Spread Class Generated by Linear Recurring Sequences. - Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi:
Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions. - Chia-Hsuan Lee, Aditya Siddhant, Viresh Ratnakar, Melvin Johnson:
DOCmT5: Document-Level Pretraining of Multilingual Language Models. - Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. - Jie Zhang, Ke-Jia Chen, Jingqiang Chen:
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation. - Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff:
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems. - Mbissane Dieng, Marwan El Hajj, Gheorghe Zaharia, Ghaïs El Zein:
Improvement of Indoor Radio Coverage at 60 GHz in NLOS Configuration. - Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. - Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. - Linpu Jiang, Ke-Jia Chen, Jingqiang Chen:
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast. - Yuntao Li, Hanchu Zhang, Yutian Li, Sirui Wang, Wei Wu, Yan Zhang:
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL. - Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah, Harshad Khadilkar:
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. - Sara Mandelli, Davide Cozzolino, João P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp:
Forensic Analysis of Synthetically Generated Scientific Images. - Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song:
Feature Erasing and Diffusion Network for Occluded Person Re-Identification. - Mohammad Reza Jafari Harandi, Hamid D. Taghirad:
Reformulation of Matching Equation in Potential Energy Shaping. - Chengrun Qiu, Dongheng Zhang, Yang Hu, Houqiang Li, Qibin Sun, Yan Chen:
Radio-Assisted Human Detection. - Zhenhua Deng, Jin Luo:
Distributed Nash Equilibrium Seeking for Noncooperative Games of High-Order Nonlinear Multi-Agent Systems Over Weight-Unbalanced Digraphs. - Rongzhi Zhang, Yulong Gu, Xiaoyu Shen, Hui Su:
Knowledge-enhanced Session-based Recommendation with Temporal Transformer. - Mirco Mutti, Mattia Mancassola, Marcello Restelli:
Unsupervised Reinforcement Learning in Multiple Environments. - Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. - Szymon Bobek, Michal Kuk, Jakub Brzegowski, Edyta Brzychczy, Grzegorz J. Nalepa:
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations. - Alejandro Morales Hernández, Sebastian Rojas-Gonzalez, Inneke Van Nieuwenhuyse, Jeroen Jordens, Maarten Witters, Bart Van Doninck:
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding. - Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. - Xin Liu, Yangqiu Song:
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. - Enguerrand Prebet:
On Up-to Context Techniques in the π-calculus. - George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. - Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
A Proposition-Level Clustering Approach for Multi-Document Summarization. - Wenxuan Zhou, Muhao Chen:
δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting. - Sami Alabed, Eiko Yoneki:
BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space. - Jaewoo Park, Nam Ik Cho:
DProST: 6-DoF Object Pose Estimation Using Space Carving and Dynamic Projective Spatial Transformer. - Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Unsupervised Matching of Data and Text. - Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. - Junfan Wang, Yi Chen, Mingyu Gao, Zhekang Dong:
Improved YOLOv5 network for real-time multi-scale traffic sign detection. - Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge:
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. - Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni:
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. - Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. - Argyrios Deligkas, Eduard Eiben, George Skretas:
Minimizing Reachability Times on Temporal Graphs via Shifting Labels. - Futong Liu, Tao Lin, Martin Jaggi:
Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation. - Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. - Tahmid Hasan, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, Rifat Shahriyar:
CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs. - Ana-Maria Cretu, Florent Guépin, Yves-Alexandre de Montjoye:
Dataset correlation inference attacks against machine learning models. - Hyunjae Kim, Jaehyo Yoo, Seunghyun Yoon, Jinhyuk Lee, Jaewoo Kang:
Simple Questions Generate Named Entity Recognition Datasets. - Shiran Zada, Itay Benou, Michal Irani:
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images. - Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen:
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. - Haedong Jeong, Jiyeon Han, Jaesik Choi:
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. - Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho:
Self-Distilled Hashing for Deep Image Retrieval. - Estibaliz Gómez-de-Mariscal, Hasini Jayatilaka, Özgün Çiçek, Thomas Brox, Denis Wirtz, Arrate Muñoz-Barrutia:
Search for temporal cell segmentation robustness in phase-contrast microscopy videos. - Thanh-Hai Tran, Igor Konnov, Josef Widder:
A case study on parametric verification of failure detectors. - Ernesto Aranda-Escolástico, Leonardo J. Colombo, María Guinaldo:
Distributed event-triggered flocking control of Lagrangian systems. - Thilini Cooray, Ngai-Man Cheung:
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. - Yuqi Ren, Deyi Xiong:
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. - Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, S. Sumitra:
Self-supervised Enhancement of Latent Discovery in GANs. - Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song:
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. - Takayuki Yamada, Yuki Noguchi:
Topology Optimization with a Closed Cavity Exclusion Constraint for Additive Manufacturing Based on the Fictitious Physical Model Approach. - Krishna Kumar Perikamana, Krishnachandran Balakrishnan, Pratyush Tripathy:
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery. - Sebastian Friston, Ben J. Congdon, David Swapp, Lisa Izzouzi, Klara Brandstätter, Daniel Archer, Otto Olkkonen, Felix J. Thiel, Anthony Steed:
Ubiq: A System to Build Flexible Social Virtual Reality Experiences. - David Thulke, Nico Daheim, Christian Dugast, Hermann Ney:
Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model. - Diyuan Lu, Gerhard Kurz, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch:
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data. - Lintong Zhang, Marco Camurri, Maurice F. Fallon:
Multi-Camera LiDAR Inertial Extension to the Newer College Dataset. - Chesney Buyle, Bert Cox, Liesbet Van der Perre, Lieven De Strycker:
A Multi-band Solution for Interacting with Energy-Neutral Devices. - Arawinkumaar Selvakkumar, Shantanu Pal, Zahra Jadidi:
Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives. - Yu Deng, Jiaolong Yang, Jianfeng Xiang, Xin Tong:
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation. - Daniel Deutch, Nave Frost, Benny Kimelfeld, Mikaël Monet:
Computing the Shapley Value of Facts in Query Answering. - Tohru Nagano, Takashi Fukuda, Gakuto Kurata:
Knowledge Distillation Leveraging Alternative Soft Targets from Non-Parallel Qualified Speech Data. - Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki:
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. - Zhendong Li, Wen Chen, Jianmin Lu, Kunlun Wang, Jun Li:
Uplink Transceiver Design and Optimization for Transmissive RMS Multi-Antenna Systems. - Sophie Wallner, Karsten Wolf:
Skeleton Abstraction for Universal Temporal Properties. - Tuan Anh Dao, Murtazo Nazarov:
A high-order residual-based viscosity finite element method for the ideal MHD equations. - Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
Visual Parameter Selection for Spatial Blind Source Separation. - Shuaizheng Hao, Hongzhe Liu, Ningwei Wang, Cheng Xu:
Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection. - Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. - Javier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin:
On the Uncertain Single-View Depths in Endoscopies. - Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu:
Inherently Explainable Reinforcement Learning in Natural Language. - Karolina Kropielnicka, Karolina Lademann, Katharina Schratz:
Effective high order integrators for linear Klein-Gordon equations in low to highly oscillatory regimes. - Reent Schlegel, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning. - Prasanna Parasurama, João Sedoc:
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring. - Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu:
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation. - Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho:
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments. - Rina Buoy, Nguonly Taing, Sovisal Chenda:
Khmer Word Search: Challenges, Solutions, and Semantic-Aware Search. - Wei Wayne Chen, Doksoo Lee, Wei Chen:
Deep Generative Models for Geometric Design Under Uncertainty. - Jifei Miao, Kit Ian Kou:
Quaternion tensor singular value decomposition using a flexible transform-based approach. - Andres E. Lombo, Jesus E. Lares, Matteo Castellani, Chi-Ning Chou, Nancy A. Lynch, Karl K. Berggren:
A Superconducting Nanowire-based Architecture for Neuromorphic Computing. - Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng:
Intelli-Paint: Towards Developing Human-like Painting Agents. - Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek:
COVID-19 Electrocardiograms Classification using CNN Models. - Trevor Ablett, Bryan Chan, Jonathan Kelly:
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning. - Nikhil Verma, Krishna Prasad:
Responsive parallelized architecture for deploying deep learning models in production environments. - Chengbo Dong, Xinru Chen, Ruohan Hu, Juan Cao, Xirong Li:
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection. - Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda:
Autonomous Driving in Adverse Weather Conditions: A Survey. - Xiaobo Huang, Amitabha Banerjee, Chien-Chia Chen, Chengzhi Huang, Tzu-Yi Chuang, Abhishek Srivastava, Razvan Cheveresan:
Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance. - Salonik Resch, Zamshed I. Chowdhury, M. Hüsrev Cilasun, Masoud Zabihi, Zhengyang Zhao, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
Towards Homomorphic Inference Beyond the Edge. - Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. - Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han:
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation. - Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck:
Stable Long-Term Recurrent Video Super-Resolution. - Jayati Gulati, Bharti Suri, Luiz Fernando Capretz, Bimlesh Wadhwa, Anu Singh Lather:
Developing a Suitability Assessment Criteria for Software Developers: Behavioral Assessment Using Psychometric Test. - Pierre Bergé, Édouard Bonnet, Hugues Déprés:
Deciding twin-width at most 4 is NP-complete. - Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li:
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. - Sejin Park, Hyunju Lee:
A molecular generative model with genetic algorithm and tree search for cancer samples. - Der-Hau Lee, Jinn-Liang Liu:
End-to-End Multi-Task Deep Learning and Model Based Control Algorithm for Autonomous Driving. - Md Atiqul Islam, George C. Alexandropoulos, Besma Smida:
Joint Analog and Digital Transceiver Design for Wideband Full Duplex MIMO Systems. - Joshua Mack, Samet E. Arda, Ümit Y. Ogras, Ali Akoglu:
Performant, Multi-objective Scheduling of Highly Interleaved Task Graphs on Heterogeneous System on Chip Devices. - Long Kong, Steven Kisseleff, Symeon Chatzinotas, Björn E. Ottersten, Melike Erol-Kantarci:
Effective Rate of RIS-aided Networks with Location and Phase Estimation Uncertainty. - Mingqi Lv, Chengyu Dong, Tieming Chen, Tiantian Zhu, Qijie Song, Yuan Fan:
A Heterogeneous Graph Learning Model for Cyber-Attack Detection. - Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. - Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. - Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. - Moein Owhadi-Kareshk, Pierre Boulanger:
Portfolio Optimization on Classical and Quantum Computers Using PortFawn. - Tiantian Zhu, Jinkai Yu, Tieming Chen, Jiayu Wang, Jie Ying, Ye Tian, Mingqi Lv, Yan Chen, Yuan Fan, Ting Wang:
APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts. - Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. - Enrico Marchesini, Alessandro Farinelli:
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. - Paul Staat, Johannes Tobisch, Christian T. Zenger, Christof Paar:
Anti-Tamper Radio: System-Level Tamper Detection for Computing Systems. - Evgeny Stemasov, Alexander Botner, Enrico Rukzio, Jan Gugenheimer:
Ephemeral Fabrication: Exploring a Ubiquitous Fabrication Scenario of Low-Effort, In-Situ Creation of Short-Lived Physical Artifacts. - Ezgi Korkmaz:
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs. - Sarah Turner, Jason R. C. Nurse, Shujun Li:
It was hard to find the words: Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices. - Ho Young Jhoo, Sehoon Kim, Woosung Song, Kyuyeon Park, DongKwon Lee, Kwangkeun Yi:
A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code. - Niv Levhari, Alex Samorodnitsky:
Hypercontractive inequalities for the second norm of highly concentrated functions, and Mrs. Gerber's-type inequalities for the second Renyi entropy. - Thadeu A. Senne, Francisco A. M. Gomes, Sandra A. Santos:
Inexact Newton combined approximations in the topology optimization of geometrically nonlinear elastic structures and compliant mechanisms. - Manuel García-Domínguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation. - Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger:
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization. - Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate:
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach. - Christiana Chamon:
Random Number Generator, Zero-Crossing, and Nonlinearity Attacks against the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Protocol. - Kyle Richardson, Ashish Sabharwal:
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. - Bogdan-Adrian Manghiuc, He Sun:
Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs. - Mandar Gogate, Kia Dashtipour, Amir Hussain:
Towards Robust Real-time Audio-Visual Speech Enhancement. - Giannis Daras, Wen-Sheng Chu, Abhishek Kumar, Dmitry Lagun, Alexandros G. Dimakis:
Solving Inverse Problems with NerfGANs. - Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela:
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. - Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Guangming Shi, Wenming Zheng, Lijian Zhang, Yuanfang Chen, Rui Cheng:
Progressive Graph Convolution Network for EEG Emotion Recognition. - Snehanshu Banerjee, Mansoureh Jeihani, Nashid K. Khadem, Md. Muhib Kabir:
Influence of Pedestrian Collision Warning Systems on Driver Behavior: A Driving Simulator Study. - Bokun Zheng, Qihan Xuan, Chen Li:
A minimalistic stochastic dynamics model of cluttered obstacle traversal. - Huifeng Li, Bin Wang, Sulei Zhu, Yanyan Xu:
SanMove: Next Location Recommendation via Self-Attention Network. - Divya Ramesh, Qiyuan Fu, Chen Li:
SenSnake: A snake robot with contact force sensing for studying locomotion in complex 3-D terrain. - Qi Yan, Jianhao Zheng, Simon Reding, Shanci Li, Iordan Doytchinov:
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data. - Serban Sabau, Andrei Sperila, Cristian Oara, Ali Jadbabaie:
Network Realization Functions for Optimal Distributed Control. - Yichen Jiang, Mohit Bansal:
Learning and Analyzing Generation Order for Undirected Sequence Models. - Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart:
Decentralized Mean Field Games. - Ilias Diakonikolas, Daniel M. Kane:
Non-Gaussian Component Analysis via Lattice Basis Reduction. - Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. - Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Mohit Goyal, Sahil Modi, Rishabh Goyal, Saurabh Gupta:
Human Hands as Probes for Interactive Object Understanding. - Hung Le, Lazar Milenkovic, Shay Solomon:
Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound. - Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon:
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling. - Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, Michael J. Black:
ICON: Implicit Clothed humans Obtained from Normals. - Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin:
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. - Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. - Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. - Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. - Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations. - Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell:
An Empirical Investigation of the Role of Pre-training in Lifelong Learning. - Jonathan M. Goodwill, Nitin Prasad, Brian D. Hoskins, Matthew W. Daniels, Advait Madhavan, Lei Wan, Tiffany S. Santos, Michael Tran, Jordan A. Katine, Patrick M. Braganca, Mark D. Stiles, Jabez J. McClelland:
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. - Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia:
Constraint-based graph network simulator. - Florian Bordes, Randall Balestriero, Pascal Vincent:
High Fidelity Visualization of What Your Self-Supervised Representation Knows About. - Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fiérrez:
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning. - Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak:
On Optimizing Interventions in Shared Autonomy. - Spencer Peters, Joseph Y. Halpern:
Causal Modeling With Infinitely Many Variables. - Lam Pham, Dat Ngo, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler:
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. - Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao:
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and Explanations. - Khouloud Saadi, Muhammad Taimoor Khan:
Effective prevention of semantic drift as angular distance in memory-less continual deep neural networks. - C. Sinan Güntürk, Weilin Li:
Approximation of functions with one-bit neural networks. - Xiaoqian Chen, Balasubramanya T. Nadiga, Ilya Timofeyev:
Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning. - C. Sinan Güntürk, Weilin Li:
Approximation with one-bit polynomials in Bernstein form. - Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Marijn Van der Velde:
Monitoring crop phenology with street-level imagery using computer vision. - Gergely Szabó, András Horváth:
Mitigating the Bias of Centered Objects in Common Datasets. - Tong Xia, Jing Han, Cecilia Mascolo:
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift. - Christian Schilling, Marcelo Forets, Sebastián Guadalupe:
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes. - Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing. - Junpeng Wang, Christoph Neuhauser, Jun Wu, Xifeng Gao, Rüdiger Westermann:
The 3D Trajectory-based Stress Visualizer. - Jun Liu, Murtaza Rangwala, Kulbir Singh Ahluwalia, Shayan Ghajar, Harnaik Singh Dhami, Pratap Tokekar, Benjamin F. Tracy, Ryan K. Williams:
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning. - Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu:
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds. - Zhaolin Wang, Yuanwei Liu, Xidong Mu, Zhiguo Ding:
NOMA Inspired Interference Cancellation for Integrated Sensing and Communication. - Dezhong Tong, Andy Borum, Mohammad Khalid Jawed:
Automated stability testing of elastic rods with helical centerlines using a robotic system. - Katrina Evtimova, Yann LeCun:
Sparse Coding with Multi-Layer Decoders using Variance Regularization. - Chang-You Tai, Ming-Yao Li, Lun-Wei Ku:
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. - Yuxuan Zhang, Bo Dong, Felix Heide:
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines. - Nikhil Maddikunta, Huijun Zhao, Sumit Keswani, Alfy Samuel, Fu-Ming Guo, Nishan Srishankar, Vishwa Pardeshi, Austin Huang:
Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering. - Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones:
A Complete Linear Programming Hierarchy for Linear Codes. - Alireza Mohammadi, Hafiz Malik, Masoud Abbaszadeh:
Generation of Wheel Lockup Attacks on Nonlinear Dynamics of Vehicle Traction. - Vinh Tong, Dai Quoc Nguyen, Dinh Q. Phung, Dat Quoc Nguyen:
Two-view Graph Neural Networks for Knowledge Graph Completion. - Ebadollah Taheri, Sudeep Pasricha, Mahdi Nikdast:
DeFT: A Deadlock-Free and Fault-Tolerant Routing Algorithm for 2.5D Chiplet Networks. - Michael Saxon, Xinyi Wang, William Yang Wang:
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. - Yuchao Tao, Ryan McKenna, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Benchmarking Differentially Private Synthetic Data Generation Algorithms. - Young Eun Lee, Seo-Hyun Lee:
EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech. - Dong-Kyun Han, Serkan Musellim, Dong-Young Kim:
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface. - Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Automated Deep Learning: Neural Architecture Search Is Not the End. - Guilherme de C. M. Gomes, Bruno Porto Masquio, Paulo E. D. Pinto, Vinícius Fernandes dos Santos, Jayme Luiz Szwarcfiter:
Disconnected Matchings. - Murat Kuscu, Bige D. Unluturk:
Internet of Bio-Nano Things: A Review of Applications, Enabling Technologies and Key Challenges. - Yan Zhang, Siyu Tang:
The Wanderings of Odysseus in 3D Scenes. - Jie Gao, Hella-Franziska Hoffmann, Stylianos Oikonomou, David Kiskovski, Anil Bandhakavi:
Logically at the Factify 2022: Multimodal Fact Verification. - Pavel B. Dubovski, Jeffrey A. Slepoi:
Dual Approach as Empirical Reliability for Fractional Differential Equations. - Akash Umakantha, João D. Semedo, S. Alireza Golestaneh, Wan-Yi S. Lin:
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation. - Mohammad H. Givkashi, Mahshid Hadipour, Arezoo PariZanganeh, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi:
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels. - Vinh Van Tong, Thanh Trung Huynh, Thanh Tam Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Huynh Quyet Thang:
Link-Intensive Alignment for Incomplete Knowledge Graphs. - Thomas Roy, Julian Andrej, Victor A. Beck:
A scalable DG solver for the electroneutral Nernst-Planck equations. - Gopalan Nadathur:
About a Proof Pearl: A Purported Solution to a POPLMARK Challenge Problem that is Not One. - Scott Mahan, Tim Doster, Henry Kvinge:
DNA: Dynamic Network Augmentation. - Seung-Hwan Baek, Felix Heide:
All-photon Polarimetric Time-of-Flight Imaging. - Dimitris Bertsimas, Xavier Boix, Kimberly Villalobos Carballo, Dick den Hertog:
A Robust Optimization Approach to Deep Learning. - Hongbin Zhang, Han Bao, Tate Shorthill, Edward Quinn:
An Integrated Risk Assessment Process of Safety-Related Digital I&C Systems in Nuclear Power Plants. - Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. - Salehe Erfanian Ebadi, You-Cyuan Jhang, Alexander Zook, Saurav Dhakad, Adam Crespi, Pete Parisi, Steve Borkman, Jonathan Hogins, Sujoy Ganguly:
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision. - Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models. - Zulfiqar Ali Khan, Akbar Siami Namin:
A Survey on the Applications of Blockchains in Security of IoT Systems. - Yiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen:
Human-Vehicle Cooperative Visual Perception for Shared Autonomous Driving. - Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. - Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Hiren Madhu, Shrey Satapara, Prasenjit Majumder, Johannes Schäfer, Tharindu Ranasinghe, Marcos Zampieri, Durgesh Nandini, Amit Kumar Jaiswal:
Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages. - Sergio A. Alvarez:
Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit. - Tianya Li, Yongpeng Wu, Mengfan Zheng, Wenjun Zhang, Chengwen Xing, Jianping An, Xiang-Gen Xia, Chengshan Xiao:
Joint Device Detection, Channel Estimation, and Data Decoding with Collision Resolution for MIMO Massive Unsourced Random Access. - Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron C. Courville, Cheng-Zhi Anna Huang, Jesse H. Engel:
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling. - Fernando Lejarza, Jacob S. Calvert, Misty M. Attwood, Daniel Evans, Qingqing Mao:
Optimal discharge of patients from intensive care via a data-driven policy learning framework. - Bartlomiej Wronski:
Procedural Kernel Networks. - P. Balasubramanian, Raunaq Nayar, Douglas L. Maskell:
Gate-Level Static Approximate Adders. - Shinnosuke Takamichi, Ludwig Kürzinger, Takaaki Saeki, Sayaka Shiota, Shinji Watanabe:
JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification. - Weiyue Wu, Shaoshan Liu:
Dilemma of the Artificial Intelligence Regulatory Landscape. - Gaurav Jain, Smriti Parsheera:
Cinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces. - Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low:
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. - Laha Ale, Scott A. King, Ning Zhang, Abdul Rahman Sattar, Janahan Skandaraniyam:
D3PG: Dirichlet DDGP for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing. - Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas:
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. - Ashley Barnes, Matthew Hole:
Node Failure Localisation Problem for Load Balancing Dynamic Networks. - Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie:
ZeroVL: A Strong Baseline for Aligning Vision-Language Representations with Limited Resources. - Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman:
WebGPT: Browser-assisted question-answering with human feedback. - Laha Ale, Scott A. King, Ning Zhang:
Deep Bayesian Learning for Car Hacking Detection. - Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao:
Community-based Layerwise Distributed Training of Graph Convolutional Networks. - Ziquan Fang, Yuntao Du, Xinjun Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen:
ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks. - Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling. - Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent. - Yuefan Shen, Yanchao Yang, Mi Yan, He Wang, Youyi Zheng, Leonidas J. Guibas:
Domain Adaptation on Point Clouds via Geometry-Aware Implicits. - Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Balancing Fairness and Robustness via Partial Invariance. - Omid Madani:
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts. - Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. - Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. - Shufan Li, Congxi Lu, Linkai Li, Jirong Duan, Xinping Fu, Haoshuai Zhou:
Interpreting Audiograms with Multi-stage Neural Networks. - Guangyao Zhang, Furong Shang, Weixi Xie, Yuhan Guo, Chunlin Jiang, Xianwen Wang:
Do conspicuous manuscripts experience shorter time in the duration of peer review? - Madeline Endres, Kevin Boehnke, Westley Weimer:
Hashing It Out: A Survey of Programmers' Cannabis Usage, Perception, and Motivation. - Jeroen Ploeg, Erwin de Gelder, Martin Slavík, Eley Querner, Thomas Webster, Niels de Boer:
Scenario-Based Safety Assessment Framework for Automated Vehicles. - Jonghyun Kim, Gen Li, Cheolkon Jung, Joongkyu Kim:
SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. - Dongpin Oh, Bonggun Shin:
Improving evidential deep learning via multi-task learning. - Jiheon Woo, Chanhee Yoo, Young-Sik Kim, Yuval Cassuto, Yongjune Kim:
Generalized LRS Estimator for Min-entropy Estimation. - Adam Radomski, Andreas Georgiou, Thomas Debrunner, Chenghan Li, Luca Longinotti, Minwon Seo, Moosung Kwak, Chang-Woo Shin, Paul K. J. Park, Hyunsurk Eric Ryu, Kynan Eng:
Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network. - Jing Shi, Xuankai Chang, Tomoki Hayashi, Yen-Ju Lu, Shinji Watanabe, Bo Xu:
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem. - Tomoyuki Yamakami:
Intersection and Union Hierarchies of Deterministic Context-Free Languages and Pumping Lemmas. - Valentin Honoré, Bertrand Simon, Frédéric Suter:
An Exact Algorithm for the Linear Tape Scheduling Problem. - Guangyan Chen, Meiling Wang, Yufeng Yue, Qingxiang Zhang, Li Yuan:
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction. - Daniel Gourion:
An upper bound for the number of chess diagrams without promotion. - Sylvain Lombardy, Jacques Sakarovitch:
Morphisms and minimization of weighted automata. - Qiang Liu, Jiade Zhang, Jingna Liu, Zhi Yang:
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis. - Michael Saidani, Harrison M. Kim, Bernard Yannou:
Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges. - Xun Shao, Go Hasegawa, Mianxiong Dong, Zhi Liu, Hiroshi Masui, Yusheng Ji:
An Online Orchestration Mechanism for General-Purpose Edge Computing. - Sophie Steger, Bernhard C. Geiger, Marek Smieja:
Semi-Supervised Clustering via Markov Chain Aggregation. - Antti Kariluoto, Arto Pärnänen, Joni Kultanen, Jukka Soininen, Pekka Abrahamsson:
Quality of Data in Machine Learning. - Chang Liu, Han Yu:
AI-Empowered Persuasive Video Generation: A Survey. - Silvia Rossi, Irene Viola, Laura Toni, Pablo César:
From 3-DoF to 6-DoF: New Metrics to Analyse Users Behaviour in Immersive Applications. - José Álamos, Peter Kietzmann, Thomas C. Schmidt, Matthias Wählisch:
WIP: Exploring DSME MAC for LoRa - A System Integration and First Evaluation. - Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto:
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks. - André Noll Barreto, Stefan Köpsell, Arsenia Chorti, Bertram Poettering, Jens Jelitto, Julia Hesse, Jonathan Boole, Konrad Rieck, Marios Kountouris, Dave Singelée, Kumar Ashwinee:
Towards Intelligent Context-Aware 6G Security. - Ruijie Hou, Zhao Wang:
Self-attention based anchor proposal for skeleton-based action recognition. - Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette:
Disentangled representations: towards interpretation of sex determination from hip bone. - Yixin Wang, Li Deng, Md. Noor-A-Rahim, Erry Gunawan, Yong Liang Guan, Zhi-Ping Shi, Chueh-Loo Poh:
Concatenated Code Design for Constrained DNA Data Storage with Asymmetric Errors. - Siddharth Ravi, Pau Climent-Pérez, Francisco Flórez-Revuelta:
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living. - K. M. Annervaz, Pritam Kumar Nath, Ambedkar Dukkipati:
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime. - Andrew MacFarlane, Tony Russell-Rose, Farhad Shokraneh:
Search Strategy Formulation for Systematic Reviews: issues, challenges and opportunities. - Zepeng Huai, Jianhua Tao, Feihu Che, Guohua Yang, Dawei Zhang:
Knowledge graph enhanced recommender system. - Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian:
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers. - (Withdrawn) Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network.
- Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui:
Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach. - Weijian Li, Masato Kikuchi, Tadachika Ozono:
Product Information Browsing Support System Using Analytic Hierarchy Process. - Florian Van Daalen, Iñigo Bermejo, Lianne Ippel, Andre Dekker:
Privacy preserving n-party scalar product protocol. - Vicent Cholvi:
Detectable Quantum Byzantine Agreement for Any Arbitrary Number of Dishonest Parties. - Anastasia-Maria Leventi-Peetz, Jörg-Volker Peetz, Martina Rohde:
ML Supported Predictions for SAT Solvers Performance. - Masato Kikuchi, Shun Shiramatsu, Ryota Kozakai, Tadachika Ozono:
Matching Social Issues to Technologies for Civic Tech by Association Rule Mining using Weighted Casual Confidence. - Deepanshu Vasal:
A dynamic program for linear sequential coding for Gaussian MAC with noisy feedback. - Haigen Hu, Aizhu Liu, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou:
Adaptively Customizing Activation Functions for Various Layers. - Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. - Muna Almushyti, Frederick W. B. Li:
Distillation of Human-Object Interaction Contexts for Action Recognition. - Sandro Rodriguez Garzon, Hakan Yildiz, Axel Küpper:
Decentralized Identifiers and Self-sovereign Identity in 6G. - Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Visual Learning-based Planning for Continuous High-Dimensional POMDPs. - Dingwen Zhang, Wenyuan Zeng, Guangyu Guo, Chaowei Fang, Lechao Cheng, Junwei Han:
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching. - Massimo Carraturo, Alex Viguerie, Alessandro Reali, Ferdinando Auricchio:
Two-level Method Part-scale Thermal Analysis of Laser Powder Bed Fusion Additive Manufacturing. - Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic:
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. - Cónall Kelly, Gabriel J. Lord:
An adaptive splitting method for the Cox-Ingersoll-Ross process. - Pinar Baki:
A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder. - Tomás Bures, Petr Hnetynka, Martin Krulis, Danylo Khalyeyev, Sebastian Hahner, Stephan Seifermann, Maximilian Walter, Robert Heinrich:
Towards fuzzification of adaptation rules in self-adaptive architectures. - Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith:
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning. - Sebastian Brandt, Rustam Latypov, Jara Uitto:
Memory Efficient Massively Parallel Algorithms for LCL Problems on Trees. - Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Learning from Heterogeneous Data Based on Social Interactions over Graphs. - Tomer Gafni, Michal Yemini, Kobi Cohen:
Learning in Restless Bandits under Exogenous Global Markov Process. - Dimitrios Papageorgiou, Leonidas Koutras, Zoe Doulgeri:
A controller for reaching and unveiling a partially occluded object of interest with an eye-in-hand robot. - Duc-Vu Nguyen, Linh-Bao Vo, Ngoc-Linh Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling. - Zana Limani Fazliu, Francesco Malandrino, Carla-Fabiana Chiasserini, Alessandro Nordio:
A Belief Propagation Solution for Beam Coordination in MmWave Vehicular Networks. - Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang, Jacob Ramaer, Daniela N. Schmidt:
Visual Microfossil Identificationvia Deep Metric Learning. - Tin Barisin, Christian Jung, Franziska Müsebeck, Claudia Redenbach, Katja Schladitz:
Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images. - Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger:
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales. - Mustafa Abduljabbar, Mahmoud Eljammaly, Miquel Pericàs:
Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS). - Jianfeng Zhan:
Call for establishing benchmark science and engineering. - Shuang Liu, Takayuki Okatani:
Symmetry-aware Neural Architecture for Embodied Visual Navigation. - Diptesh Kanojia, Pushpak Bhattacharyya, Malhar Kulkarni, Gholamreza Haffari:
Challenge Dataset of Cognates and False Friend Pairs from Indian Languages. - Guangyu Guo, Longfei Han, Junwei Han, Dingwen Zhang:
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition. - Yanyi Peng, Masato Kikuchi, Tadachika Ozono:
Online Classroom Evaluation System Based on Multi-Reaction Estimation. - Mário S. Alvim, Bernardo Amorim, Sophia Knight, Santiago Quintero, Frank Valencia:
A Formal Model for Polarization under Confirmation Bias in Social Networks. - Brent J. Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, Cathy Wu:
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. - Nicolas Donati, Etienne Corman, Simone Melzi, Maks Ovsjanikov:
Complex Functional Maps : a Conformal Link Between Tangent Bundles. - Nithin V. Sabu, Abhishek K. Gupta, Neeraj Varshney, Anshuman Jindal:
Channel Characterization and Performance of a 3-D Molecular Communication System with Multiple Fully-Absorbing Receivers. - Victor Fors, Björn Olofsson, Erik Frisk:
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Open-Loop Adversarial Disturbance Sequences. - Michele Polese, Leonardo Bonati, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms. - Guillaume Houzeaux, Rosa Maria Badia, Ricard Borrell, Damien Dosimont, Jorge Ejarque, Marta Garcia-Gasulla, Víctor López:
Dynamic resource allocation for efficient parallel CFD simulations. - Grischa Fraumann:
The Values and Limits of Altmetrics. - Chanyang Ryoo, Kyle Mandli:
Barrier Simulations and Experimental Calculations Using Cell Merging Method. - Étienne Le Quentrec, Loïc Mazo, Étienne Baudrier, Mohamed Tajine:
LTB curves with Lipschitz turn are par-regular. - Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Nearest neighbor search with compact codes: A decoder perspective. - Rishit Dagli, Ali Mustufa Shaikh:
CPPE-5: Medical Personal Protective Equipment Dataset. - Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot:
A Binded VAE for Inorganic Material Generation. - (Withdrawn) Topic-Aware Encoding for Extractive Summarization.
- Zevin Shaul, Sheikh Naaz:
cgSpan: Closed Graph-Based Substructure Pattern Mining. - Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Lukas Pirl, Dirk Friedenberger, Florian Brokhausen, Ilja Behnke, Andreas Polze, Lauritz Thamsen:
Continuously Testing Distributed IoT Systems: An Overview of the State of the Art. - Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze:
Watermarking Images in Self-Supervised Latent Spaces. - Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi:
Align and Prompt: Video-and-Language Pre-training with Entity Prompts. - Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu:
Global explainability in aligned image modalities. - Zachary Dair, Ryan Donovan, Ruairi O'Reilly:
Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features. - Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras:
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. - Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li:
Transcribing Natural Languages for The Deaf via Neural Editing Programs. - Amit Klein:
Subverting Stateful Firewalls with Protocol States (Extended Version). - Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn:
Autonomous Reinforcement Learning: Formalism and Benchmarking. - Ashok K. Goel, Vrinda Nandan, Eric Gregori, Sungeun An, Spencer Rugaber:
Explanation as Question Answering based on Design Knowledge. - Marco Calautti, Ester Livshits, Andreas Pieris, Markus Schneider:
Counting Database Repairs Entailing a Query: The Case of Functional Dependencies. - Hadiseh Safdari, Martina Contisciani, Caterina De Bacco:
Reciprocity, community detection, and link prediction in dynamic networks. - Jheng-Hong Yang, Xueguang Ma, Jimmy Lin:
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. - Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, Ravi Ramamoorthi:
Scalar Spatiotemporal Blue Noise Masks. - Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco:
Sublinear Time Approximation of Text Similarity Matrices. - Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky:
On extension of the data driven ROM inverse scattering framework to partially nonreciprocal arrays. - Tian Hong Loh, David Cheadle, Fabien Héliot, Ayodeji Sunday, Micheal Dieudonne:
A Study of Experiment-based Radio Frequency Electromagnetic Field Exposure Evidence on Stochastic Nature of A Massive MIMO System. - Fang Chen, Aihua Zhang, Heiko Balzter, Peng Ren, Huiyu Zhou:
Oil Spill SAR Image Segmentation via Probability Distribution Modelling. - Efrén Rama-Maneiro, Juan Carlos Vidal, Manuel Lama:
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring. - Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. - Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy:
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. - Matteo Dunnhofer, Alberto Zurini, Maurizio Dunnhofer, Christian Micheloni:
Video-Based Reconstruction of the Trajectories Performed by Skiers. - François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry:
Improving neural implicit surfaces geometry with patch warping. - Qihong Wu, Jinchuan Tang, Shuping Dang, Gaojie Chen:
Data Privacy and Utility Trade-Off Based on Mutual Information Neural Estimator. - Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy:
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. - Florent Delgrange, Ann Nowé, Guillermo A. Pérez:
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report). - Jiayu Ding, Siyuan Wang, Qin Chen, Zhongyu Wei:
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering. - Ryan Lindsey:
AI-Assisted Verification of Biometric Data Collection. - Usman Sajid, Guanghui Wang:
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network. - Tang Li, Jing Gao, Xi Peng:
Deep Learning for Spatiotemporal Modeling of Urbanization. - Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. - Glenn Maguire, Nicholas Ketz, Praveen K. Pilly, Jean-Baptiste Mouret:
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations. - Paul R. Smart, Wendy Hall, Michael J. Boniface:
Relativistic Conceptions of Trustworthiness: Implications for the Trustworthy Status of National Identification Systems. - Yusra Alkendi, Rana Azzam, Abdulla Ayyad, Sajid Javed, Lakmal D. Seneviratne, Yahya H. Zweiri:
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers. - Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. - Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia:
Light Field Neural Rendering. - Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin:
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. - Corne Lukken, Animesh Trivedi:
Past, Present and Future of Computational Storage: A Survey. - Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström:
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? - Chanyang Ryoo, Kyle Mandli:
Barrier Simulations with Shallow Water Equations using the State Redistribution Method. - Edgar Galván, Gavin Simpson:
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. - Sumaya Almanee, Xiafa Wu, Yuqi Huai, Qi Alfred Chen, Joshua Garcia:
scenoRITA: Generating Less-Redundant, Safety-Critical and Motion Sickness-Inducing Scenarios for Autonomous Vehicles. - David Chuan-En Lin, Anastasis Germanidis, Cristóbal Valenzuela, Yining Shi, Nikolas Martelaro:
Soundify: Matching Sound Effects to Video. - Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Rank4Class: A Ranking Formulation for Multiclass Classification. - Mikhail Derevyannykh:
Real-Time Path-Guiding Based on Parametric Mixture Models. - Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. - Ashis Kumer Biswas, Geeta Verma, Justin Otto Barber:
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations. - Weijie J. Su:
Neurashed: A Phenomenological Model for Imitating Deep Learning Training. - Amir Zeldes:
Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes. - Martin Holler, Alexander Schlüter, Benedikt Wirth:
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space. - Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi:
Interpretable Data-Based Explanations for Fairness Debugging. - Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou:
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. - Lourenço Beirão da Veiga, Franco Dassi, Daniele A. Di Pietro, Jérôme Droniou:
Arbitrary-order pressure-robust DDR and VEM methods for the Stokes problem on polyhedral meshes. - Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro:
Set Twister for Single-hop Node Classification. - Sakshi Mishra, Roohallah Khatami, Yu Christine Chen:
Towards Harmonious Decentralization of Energy Systems: A Vision of Interoperable Peer-to-Peer Energy Markets. - Xuhao Chen, Arvind:
Efficient and Scalable Graph Pattern Mining on GPUs. - Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman:
Reproducible and Portable Big Data Analytics in the Cloud. - Karen Elliott, Kovila P. L. Coopamootoo, Edward Curran, Paul D. Ezhilchelvan, Samantha Finnigan, Dave Horsfall, Zhichao Ma, Magdalene Ng, Tasos Spiliotopoulos, Han Wu, Aad van Moorsel:
Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion. - Abdelaali Chaoub, Aarne Mämmelä, Pedro Martinez-Julia, Ranganai Chaparadza, Muslim Elkotob, Lyndon Ong, Dilip Krishnaswamy:
Self-Organizing Networks in the 6G Era: State-of-the-Art, Opportunities, Challenges, and Future Trends. - Phillip Lee, Kevin T. Smith:
Privacy Leakage over Dependent Attributes in One-Sided Differential Privacy. - Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya:
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation. - Lorenzo Botti, Francesco Carlo Massa:
HHO methods for the incompressible Navier-Stokes and the incompressible Euler equations. - Davood Ghatreh Samani, Mohsen Amini Salehi:
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications. - Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, P. Jonathon Phillips, Rama Chellappa:
Distill and De-bias: Mitigating Bias in Face Recognition using Knowledge Distillation. - Jacob Deasy, Nikola Simidjievski, Pietro Liò:
Heavy-tailed denoising score matching. - Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang:
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. - Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
A data-centric weak supervised learning for highway traffic incident detection. - Muasaad Alrasheedi, Luiz Fernando Capretz:
Assessing m-Learning Adoption in Higher Education. - Hari Hara Suthan Chittoor, Osvaldo Simeone:
Coded Consensus Monte Carlo: Robust One-Shot Distributed Bayesian Learning with Stragglers. - Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. - Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Improving Multi-Domain Generalization through Domain Re-labeling. - Erfan Amini, Hossein Mehdipour, Emilio Faraggiana, Danial Golbaz, Sevda Mozaffari, Giovanni Bracco, Mehdi Neshat:
Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter. - Balázs Kósa, Karol Mikula:
Direct simple computation of middle surface between 3D point clouds and/or discrete surfaces by tracking sources in distance function calculation algorithms. - Dominik Drees, Xiaoyi Jiang:
A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods. - Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. - Pablo F. Castro, Pedro R. D'Argenio, Luciano Putruele, Ramiro Demasi:
Playing Against Fair Adversaries in Stochastic Games with Total Rewards. - Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. - Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
GPEX, A Framework For Interpreting Artificial Neural Networks. - Sajje Lee Calfy, John A. Evans, David Kamensky:
Variational multiscale modeling with discretely divergence-free subscales: Non-divergence-conforming discretizations. - Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen:
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. - Ge Chen, Hongcai Zhang, Hongxun Hui, Yonghua Song:
Time-efficient Joint Chance-constrained Optimal Power Flow with a Learning-based Robust Approximation. - Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar:
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. - Adheesh Shenoy, Tianze Chen, Yu Sun:
Multi-Object Grasping - Generating Efficient Robotic Picking and Transferring Policy. - Xian Zhang, Hao Zhang, Jiancheng Lv, Xiaojie Li:
Face Deblurring Based on Separable Normalization and Adaptive Denormalization. - Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Improving the performance of bagging ensembles for data streams through mini-batching. - Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu:
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. - Ahmad Babaeian Jelodar, Yu Sun:
Calorie Aware Automatic Meal Kit Generation from an Image. - Arafat Ahsan, Vandan Mujadia, Dipti Misra Sharma:
Assessing Post-editing Effort in the English-Hindi Direction. - Bahador Bahmani, WaiChing Sun:
Manifold embedding data-driven mechanics. - Dev Khare, N. S. Kamal, Barathi Ganesh HB, V. Sowmya, V. V. Sajith Variyar:
Enhanced Object Detection in Floor-plan through Super Resolution. - Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. - Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. - Dong Zhou, Guanghui Sun, Wenxiao Lei:
Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning. - Liyu Chen, Rahul Jain, Haipeng Luo:
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. - Jatayu Baxi, Brijesh Bhatt:
Morpheme Boundary Detection & Grammatical Feature Prediction for Gujarati : Dataset & Model. - Hariom A. Pandya, Bhavik Ardeshna, Brijesh S. Bhatt:
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages. - Ailing Cheng, Jiaojiao Ye, Fei Yang, Shufang Lu, Fei Gao:
An effective coaxiality error measurement for twist drill based on line structured light sensor. - Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. - Stefano Berrone, Alessandro D'Auria:
A new quality preserving polygonal mesh refinement algorithm for Virtual Element Methods. - Daigo Shishika, Yue Guan, Michael R. Dorothy, Vijay Kumar:
Dynamic Defender-Attacker Blotto Game. - Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. - Simon Heilig, Maximilian Münch, Frank-Michael Schleif:
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective. - Junchi Yu, Tingyang Xu, Ran He:
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. - Manish Narwaria:
Does Explainable Machine Learning Uncover the Black Box in Vision Applications? - Junchi Yu, Jie Cao, Ran He:
Improving Subgraph Recognition with Variational Graph Information Bottleneck. - Yanghui Xu, Jiazhou Chen, Shufang Lu, Ronghua Liang, Liangliang Nan:
3D Instance Segmentation of MVS Buildings. - Andrew Adamatzky:
Language of fungi derived from electrical spiking activity. - Huan Zhou, Shi Gong, Yu Zhou, Zengqiang Zheng, Ronghua Liu, Xiang Bai:
Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks. - Michelle L. Blom, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic:
A First Approach to Risk-Limiting Audits for Single Transferable Vote Elections. - Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati:
Fast and Robust Registration of Partially Overlapping Point Clouds. - Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. - Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang:
Word Graph Guided Summarization for Radiology Findings. - A. K. Novokhrestov, A. A. Konev, A. S. Kovalenko, N. I. Sermavkin:
System Attack Modeling Techniques Critical Information Infrastructure. - Yuliang Wei, Haotian Li, Yao Wang, Guodong Xin, Hongri Liu:
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning. - Hai Bi, Xuqing Zhang, Yidu Yang:
The nonconforming Crouzeix-Raviart element approximation and two-grid discretizations for the elastic eigenvalue problem. - Natalie Lang, Joseph M. Francos:
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. - Jiangwei Liu, Jingshu Zhang, Xiaohong Huang, Liangyu Min:
Syntactic-GCN Bert based Chinese Event Extraction. - Aggelos Kiayias:
Decentralizing Information Technology: The Advent of Resource Based Systems. - Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. - Abdullah Ahmad Khan, Mohd. Belal, GhufranUllah:
Rapid Face Mask Detection and Person Identification Model based on Deep Neural Networks. - Christian Klein, Nikola M. Stoilov:
Spectral approach to Korteweg-de Vries equations on the compactified real line. - Ming-Jun Lai, Zhaiming Shen:
The Kolmogorov Superposition Theorem can Break the Curse of Dimensionality When Approximating High Dimensional Functions. - Ke Alexander Wang, Danielle C. Maddix, Yuyang Wang:
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics. - Burhan Ul Tayyab, Nicholas Chua:
Pre-Training Transformers for Domain Adaptation. - Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. - Ryan Gabrys, Venkatesan Guruswami, João Ribeiro, Ke Wu:
Beyond Single-Deletion Correcting Codes: Substitutions and Transpositions. - Shivananda R. Poojara, Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama:
Serverless data pipeline approaches for IoT data in fog and cloud computing. - Valter Luís Estevam Junior, Rayson Laroca, David Menotti, Hélio Pedrini:
Tell me what you see: A zero-shot action recognition method based on natural language descriptions. - Hiroshi Inoue:
Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision. - Victoria G. Crawford:
Streaming Based Bicriteria Approximation Algorithms for Submodular Optimization. - Zaki Mustafa Farooqi, Sreyan Ghosh, Rajiv Ratn Shah:
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets. - Taekyung Kim, Gyuhyun Park, Jihwan Bae, Wonsuk Lee:
Derivative Action Control: Smooth Model Predictive Path Integral Control without Smoothing. - Effrosyni Simou:
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows. - Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. - Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak:
Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions. - Amarsagar Reddy Ramapuram Matavalam, Kishan Prudhvi Guddanti, Yang Weng, Venkataramana Ajjarapu:
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading. - Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung:
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. - Timo Lüddecke, Alexander S. Ecker:
Prompt-Based Multi-Modal Image Segmentation. - Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen:
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey. - Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Online Grounding of PDDL Domains by Acting and Sensing in Unknown Environments. - Risa Kitamura, Takayuki Itoh:
An Exploration Tool for Retrieval of Travel Information with Personal Photos. - Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. - Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. - Farabi Mahmud, Sungkeun Kim, Harpreet Singh Chawla, Pritam Majumder, Jiayi Huang, Chia-Che Tsai, Eun Jung Kim, Abdullah Muzahid:
Attacks of the Knights: Exploiting Non Uniform Cache Access Time. - Albert Cheu, Chao Yan:
Pure Differential Privacy from Secure Intermediaries. - Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim:
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs. - Peng Xu, Claudia Eckert, Apostolis Zarras:
hybrid-Flacon: Hybrid Pattern Malware Detection and Categorization with Network Traffic andProgram Code. - Erfan Bank-Tavakoli, Michael Riera, Masudul Hassan Quraishi, Fengbo Ren:
FSpGEMM: An OpenCL-based HPC Framework for Accelerating General Sparse Matrix-Matrix Multiplication on FPGAs. - Peng Xu, Asbat El Khairi:
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code. - Shiao Liu, Xingyu Zhou, Yuling Jiao, Jian Huang:
Wasserstein Generative Learning of Conditional Distribution. - Guyue Li, Lei Hu, Paul Staat, Harald Elders-Boll, Christian T. Zenger, Christof Paar, Aiqun Hu:
Reconfigurable Intelligent Surface for Physical Layer Key Generation: Constructive or Destructive? - Vibhas Vats, David Crandall:
Controlling the Quality of Distillation in Response-Based Network Compression. - Saikat Mondal, Banani Roy:
Reproducibility Challenges and Their Impacts on Technical Q&A Websites: The Practitioners' Perspectives. - Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang:
Precondition and Effect Reasoning for Action Recognition. - Ritik Batra, Kaitlyn Lee:
Redycler: Daily Outfit Texture Fabrication Appliance Using Re-Programmable Dyes. - Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. - Gunjan Ansari, Muskan Garg, Chandni Saxena:
Data Augmentation for Mental Health Classification on Social Media. - Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay:
Efficient Strong Scaling Through Burst Parallel Training. - Cristian Rodriguez Opazo, Edison Marrese-Taylor, Basura Fernando, Hiroya Takamura, Qi Wu:
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach. - Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo:
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding. - Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji, Fei Li:
Unified Named Entity Recognition as Word-Word Relation Classification. - Morteza Alinia Ahandani, Hamed Kharrati, Farzad Hashemzadeh, Mahdi Baradarannia:
Distributed switched model-based predictive control for distributed large-scale systems with switched topology. - Hongyi Qian, Baohui Wang, Ping Ma, Lei Peng, Songfeng Gao, You Song:
Managing dataset shift by adversarial validation for credit scoring. - Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy:
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks. - Qinghua Zhao, Xu Chen, Hui Zhang, Shuai Ma:
D-HAN: Dynamic News Recommendation with Hierarchical Attention Network. - Yang Li, Zhilin Chen, Yunqi Wang, Chenyang Yang, Yik-Chung Wu:
Heterogeneous Transformer: A Scale Adaptable Neural Network Architecture for Device Activity Detection. - Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong:
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization. - Xue Li, Tengfei Liang, Yi Jin, Tao Wang, Yidong Li:
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification. - Zhenhua Duan, Cong Tian, Nan Zhang, Mengchu Zhou, Bin Yu, Xiaobing Wang, Jiangen Guo, Ying Wu:
A Novel Load Balancing Scheme for Mobile Edge Computing. - Hisham Ali, Pavlos Papadopoulos, Jawad Ahmad, Nikolaos Pitropakis, Zakwan Jaroucheh, William J. Buchanan:
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. - Justin Dallant, John Iacono:
Conditional Lower Bounds for Dynamic Geometric Measure Problems. - Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu:
Initiative Defense against Facial Manipulation. - Prashant Singh Chouhan, Gregory Price, Gene Cooperman:
An Architecture for Exploiting Native User-Land Checkpoint-Restart to Improve Fuzzing. - Majid Farzaneh:
ArcFace Knows the Gender, Too! - Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang:
SAGA: Stochastic Whole-Body Grasping with Contact. - Till Miemietz, Maksym Planeta, Viktor Laurin Reusch:
New Mechanism for Fast System Calls. - Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Jianqing Wu, Bo Du:
Expression is enough: Improving traffic signal control with advanced traffic state representation. - Chia-Yu Li, Ngoc Thang Vu:
Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition. - Sergio Amat, David Levin, Juan Ruiz-Álvarez, Dionisio F. Yáñez:
Explicit multivariate approximations from cell-average data. - Joel Öhrling, Sébastien Lafond, Dragos Truscan:
Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs. - Arthur D. Sawadogo, Quentin Guimard, Tegawendé F. Bissyandé, Abdoul Kader Kaboré, Jacques Klein, Naouel Moha:
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We? - Mwrwan Abubakar, Pádraig McCarron, Zakwan Jaroucheh, Ahmed Al-Dubai, William J. Buchanan:
Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates. - Keunhyung Chung, Daehan Kim, Sangheon Lee, Guik Jung:
Masked Deep Q-Recommender for Effective Question Scheduling. - Li Ju, Prashant Singh, Salman Toor:
Proactive Autoscaling for Edge Computing Systems with Kubernetes. - Uluer Emre Özdil, Serkan Ayvaz:
An Experimental and Comparative Benchmark Study Examining Resource Utilization in Managed Hadoop Context. - Matteo Giacomini, Simona Perotto:
Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information. - Yanqing Ma, Carmine Ventre, Maria Polukarov:
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning. - Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong:
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment. - Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Network. - Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz:
Active Weighted Aging Ensemble for Drifted Data Stream Classification. - Lianmeng Jiao, Feng Wang, Zhun-ga Liu, Quan Pan:
TECM: Transfer Evidential C-means Clustering. - Dongchao Yang, Helin Wang, Yuexian Zou, Chao Weng:
Detect what you want: Target Sound Detection. - Tony Gracious, Ambedkar Dukkipati:
Representation Learning for Dynamic Hyperedges. - Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. - Nan Lu, Tianyi Zhang, Tongtong Fang, Takeshi Teshima, Masashi Sugiyama:
Rethinking Importance Weighting for Transfer Learning. - Nusrat Zahan, Laurie A. Williams, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila:
What are Weak Links in the npm Supply Chain? - Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li:
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. - Haoyi Wang, Victor Sanchez, Chang-Tsun Li:
Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion. - Boris Ryabko:
Using data compression and randomization to build an unconditionally secure short key cipher. - Wenbo Li, Xin Lu, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia:
On Efficient Transformer and Image Pre-training for Low-level Vision. - Jianbo Cui:
Explicit Numerical Methods for High Dimensional Stochastic Nonlinear Schrödinger Equation: Divergence, Regularity and Convergence. - Lingxia Cui, Hua Xiang:
Quantum radial basis function methods for scattered data fitting. - Coulter Beeson, Neil Olver:
A Short Proof of Convexity of Step-out Step-in Sequencing Games. - Shangwei Guo, Xu Zhang, Fei Yang, Tianwei Zhang, Yan Gan, Tao Xiang, Yang Liu:
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey. - Rodrigo Cuéllar-Hidalgo, Julio de Jesús Guerrero-Zambrano, Dominic Forest, Gerardo Reyes Salgado, Juan-Manuel Torres-Moreno:
LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features. - Koen Holtman:
Demanding and Designing Aligned Cognitive Architectures. - Will Price, Carl Vondrick, Dima Damen:
UnweaveNet: Unweaving Activity Stories. - Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi:
Parameterized Approximation Algorithms for k-Center Clustering and Variants. - Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. - Jugal Garg, Edin Husic, Aniket Murhekar, László A. Végh:
Tractable Fragments of the Maximum Nash Welfare Problem. - María Alpuente, Demis Ballis, Santiago Escobar, Julia Sapiña:
Symbolic Specialization of Rewriting Logic Theories with Presto. - Chia-Yu Li, Ngoc Thang Vu:
Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching. - Tao Hu, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker:
HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars. - Marco Zangrandi, Stefano Arrigoni, Francesco Braghin:
Control of a Hexapod Robot Considering Terrain Interaction. - Gaëtan Douéneau-Tabot:
Hiding pebbles when the output alphabet is unary. - Soha Mohamed, Mahmoud S. Fayed:
Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools. - Berthold Hoffmann, Mark Minas:
Proceedings Twelfth International Workshop on Graph Computational Models, GCM@STAF 2021, Online, 22nd June 2021. EPTCS 350, 2021 [contents] - Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad:
Parallel Algorithms for Adding a Collection of Sparse Matrices. - Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart:
On Causal Inference for Data-free Structured Pruning. - Alexey A. Bobtsov, Romeo Ortega, Stanislav Aranovskiy, Rafael Cisneros:
On-line Estimation of the Parameters of the Windmill Power Coefficient. - Md. Tanvir Hossan, Hina Tabassum:
Mobility-Aware Performance in Hybrid RF and Terahertz Wireless Networks. - Arnab Maiti, Palash Dey:
Parameterized Algorithms for Kidney Exchange. - Yang Lin, Irena Koprinska, Mashud Rana:
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. - Larkin Heintzman, Ryan K. Williams:
A Predictive Autonomous Decision Aid for Calibrating Human-Autonomy Reliance in Multi-Agent Task Assignment. - Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof:
Inverse deep learning methods and benchmarks for artificial electromagnetic material design. - Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo, William M. Wells III, Inês Machado, Rola Harmouche, Matthew Toews:
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor. - Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang:
Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models. - Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu:
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. - David Bauer, Chengbo Zheng, Oh-Hyun Kwon, Kwan-Liu Ma:
A Multi-Layout Approach to Immersive Visualization of Network Data. - Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. - Renjie Li, Son N. Tran, Saurabh Garg, Katherine Lawler, Jane E. Alty, Quan Bai:
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection. - Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K. Williams:
Distributed Adaptive and Resilient Control of Multi-Robot Systems with Limited Field of View Interactions. - Alexander Katsevich:
Resolution of 2D reconstruction of functions with nonsmooth edges from discrete Radon transform data. - Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro:
Distributionally Robust Group Backwards Compatibility. - Lucas Thibaut Meyer, Louen Pottier, Alejandro Ribés, Bruno Raffin:
Deep Surrogate for Direct Time Fluid Dynamics. - Pawan Kumar:
DXML: Distributed Extreme Multilabel Classification. - Rais Mohammad Salman, Mahbubur Rashid, Rupal Roy, Md. Manjurul Ahsan, Zahed Siddique:
Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks on YawDD. - Ashrarul H. Sifat, Burhanuddin Bharmal, Haibo Zeng, Jia-Bin Huang, Changhee Jung, Ryan K. Williams:
Towards Computational Awareness in Autonomous Robots: An Empirical Study of Computational Kernels. - Zhihao Wang, Chaoying Tang:
Model-based gait recognition using graph network on very large population database. - Alexander D. Gilbert, Frances Y. Kuo, Ian H. Sloan:
Approximating distribution functions and densities using quasi-Monte Carlo methods after smoothing by preintegration. - Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Gengyun Jia, Zhenhua Chai, Xiaolin Wei:
Contrastive Attention Network with Dense Field Estimation for Face Completion. - Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang:
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity. - Anthony DiGiovanni, Ambuj Tewari:
Balancing Adaptability and Non-exploitability in Repeated Games. - Mingwei Zhang, Jiayuan Liu, Weipu Zhang, Ke Deng, Hai Dong, Ying Liu:
CSSR: A Context-Aware Sequential Software Service Recommendation Model. - Yitong Liu, Zhengshuo Li, Junbo Zhao:
Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors. - (Withdrawn) English-to-Chinese Transliteration with Phonetic Back-transliteration.
- Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li, Lei Zhong:
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims. - Chenggui Sun, Li Bin Song:
Product Re-identification System in Fully Automated Defect Detection. - Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach:
Classifier Calibration: How to assess and improve predicted class probabilities: a survey. - Zac Hatfield-Dodds, Dmitry Dygalo:
Deriving Semantics-Aware Fuzzers from Web API Schemas. - Limeng Dong, Hui-Ming Wang, Jiale Bai:
Active Reconfigurable Intelligent Surface Aided Secure Transmission. - Muneeb Ahmed, Mohd Majid Akhtar:
Smart Home: Application using HTTP and MQTT as Communication Protocols. - Maziar M. Nekovee:
Transformation from 5G for Verticals Towards a 6G-enabled Internet of Verticals. - Liuyue Jiang, Asangi Jayatilaka, Mehwish Nasim, Marthie Grobler, Mansooreh Zahedi, Muhammad Ali Babar:
Systematic Literature Review on Cyber Situational Awareness Visualizations. - Roland Croft, Muhammad Ali Babar, Li Li:
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources. - Noah Bühlmann, Mohammad Ghafari:
How Do Developers Deal with Security Issue Reports on GitHub? - Sanghyuk Choi, Jeong-In Hwang, Hyungjong Noh, Yeonsoo Lee:
May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation. - Lei Pan, Twinkle Jain:
NavP: Enabling Navigational Programming for Science Data Processing via Application-Initiated Checkpointing. - Zigeng Yan, Di-Hua Zhai, Yuanqing Xia:
DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction. - Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. - Max Ellis, Sarah Nadi, Danny Dig:
A Systematic Comparison of Two Refactoring-aware Merging Techniques. - Md. Khaledur Rahman, Ariful Azad:
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods. - Kokichi Futatsugi:
Advances of Proof Scores in CafeOBJ. - Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu:
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. - Grigorios Loukides, Solon P. Pissis, Michelle Sweering:
String Sampling with Bidirectional String Anchors. - Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren:
Learning for Robust Combinatorial Optimization: Algorithm and Application. - Daofei Li, Siyuan Lin, Guanming Liu:
Lane Departure Prediction Based on Closed-Loop Vehicle Dynamics. - Xijie Huang, Jeffry Wicaksana, Shichao Li, Kwang-Ting Cheng:
Automated Vision-Based Wellness Analysis for Elderly Care Centers. - Wenxue Chen, Jianke Zhu:
Multimodal Adversarially Learned Inference with Factorized Discriminators. - Gereltsetseg Altangerel, Tugsjargal Chuluuntsetseg, Dashdorj Yamkhin:
Performance analysis of SDN controllers: POX, Floodlight and Opendaylight. - Xuanjie Li, Yuedong Xu, Jessie Hui Wang, Xin Wang, John C. S. Lui:
Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks. - Kai-Liang Lu:
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images. - Haoyue Tang, Yuchao Chen, Jintao Wang, Jingzhou Sun, Jian Song:
Sending Timely Status Updates through Channel with Random Delay via Online Learning. - (Withdrawn) Axiomatic characterizations of consistent approval-based committee choice rules.
- Arnaud Pannatier, Ricardo Picatoste, François Fleuret:
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm. - Roberto Cominetti, José Correa, Neil Olver:
Long term behavior of dynamic equilibria in fluid queuing networks. - Yecheng Huang, Jiaxin Chen, Di Huang:
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery. - Sasinee Pruekprasert, Kai Cai:
Local Opacity Verification for Distributed Discrete Event Systems. - Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang:
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. - Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu:
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. - Martina Contisciani, Hadiseh Safdari, Caterina De Bacco:
Community detection and reciprocity in networks by jointly modeling pairs of edges. - Michael Lodi, Marco Sbaraglia, Simone Martini:
Online Unplugged and Block-Based Cryptography in Grade 10. - Gianluca Rizzello, Francesco Ferrante, David Naso, Stefan Seelecke:
Robust interaction control of a dielectric elastomer actuator with variable stiffness. - Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron:
Towards Trustworthy Cross-patient Model Development. - Xiaoyu Ren, Liqun Huang, Mingguo Zhao:
Prioritized Hierarchical Compliance Control for Dual-Arm Robot Stable Clamping. - Rafael Kiesel, Anna Rapberger:
Concurrence for well-formed CAFs: Naive Semantics. - Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stéphane Clinchant:
Learning with Label Noise for Image Retrieval by Selecting Interactions. - Qianlan Bai, Yuedong Xu, Nianyi Liu, Xin Wang:
Blockchain Mining with Multiple Selfish Miners. - Or Toledano, Yanir Marmor, Dov Gertz:
Image Animation with Keypoint Mask. - Ervan Kassarian, Francesco Sanfedino, Daniel Alazard, Johan Montel, Charles-Antoine Chevrier:
Robust line-of-sight pointing control on-board a stratospheric balloon-borne platform. - Pegah Rokhforoz, Olga Fink:
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units. - Mingyang Zhu, Ming Jiang, Chunming Zhao:
A Novel Iterative Soft-Decision Decoding Algorithm for RS-SPC Product Codes. - Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. - Jordan Samhi, Li Li, Tegawendé F. Bissyandé, Jacques Klein:
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps. - Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal Normalization for Domain Adaptation. - Bin Zhang, Yang Wu, Xiaojing Zhang, Ming Ma:
a novel attention-based network for fast salient object detection. - Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe:
ScanQA: 3D Question Answering for Spatial Scene Understanding. - Muhammad Saad Saeed, Muhammad Haris Khan, Shah Nawaz, Muhammad Haroon Yousaf, Alessio Del Bue:
Fusion and Orthogonal Projection for Improved Face-Voice Association. - Yujie Fu, Yihong Wu:
Scale-Net: Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching. - Vincent Tableau Roche, Purushotham Murugappa Velayuthan:
Dijkstra-Through-Time: Ahead of time hardware scheduling method for deterministic workloads. - Thi Tuyet Hai Nguyen, Tien-Hoa Nguyen:
Secrecy Performance of RIS-assisted Wireless Networks under Rician fading. - Mohammad Hossein Bahonar, Mohammad Javad Omidi:
Centralized QoS-Aware Resource Allocation for D2D Communications with Multiple D2D Pairs in One Resource Block. - Mohammad Koolivand, Mohammad Hossein Bahonar, Mohammad Sadegh Fazel:
Improving Energy Efficiency of Massive MIMO Relay Systems using Power Bisection Allocation for Cell-Edge Users. - Mohammad Karimzadeh-Farshbafan, Mohammad Hossein Bahonar, Farshid Khajehrayeni:
Spectrum Trading for Device-to-Device Communication In Cellular Networks using Incomplete Information Bandwidth-Auction Game. - Mohammad Hossein Bahonar, Mohammad Javad Omidi:
Distributed pricing-based resource allocation for dense device-to-device communications in beyond 5G networks. - Mohammad Hossein Bahonar, Mohammad Javad Omidi, Halim Yanikomeroglu:
Low-Complexity Resource Allocation for Dense Cellular Vehicle-to-Everything (C-V2X) Communications. - Steffen Puchtler, Tobias Schirra, Eckhard Kirchner, Yvonne Späck-Leigsnering, Herbert De Gersem:
Comparison of analytic and numeric methods to calculate ball bearing capacitance. - Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. - Alessio Caminata, Michela Ceria, Elisa Gorla:
The complexity of solving Weil restriction systems. - Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey, Matthias Gallé, Arun Raja, Chenglei Si, Wilson Y. Lee, Benoît Sagot, Samson Tan:
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP. - Samuel Müller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter:
Transformers Can Do Bayesian Inference. - Nicholas Mosier, Hanna Lachnitt, Hamed Nemati, Caroline Trippel:
Relational Models of Microarchitectures for Formal Security Analyses. - Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. - Hendrik Ranocha, Michael Schlottke-Lakemper, Jesse Chan, Andrés M. Rueda-Ramírez, Andrew R. Winters, Florian Hindenlang, Gregor J. Gassner:
Efficient implementation of modern entropy stable and kinetic energy preserving discontinuous Galerkin methods for conservation laws. - Pascal Führlich, Ágnes Cseh, Pascal Lenzner:
Improving Ranking Quality and Fairness in Swiss-System Chess Tournaments. - Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin:
Certified Federated Adversarial Training. - Ngo Hoang Tu, Kyungchun Lee:
Ultra-Reliable and Low-Latency Short-Packet Communications for Multihop MIMO Relaying. - Fausto Giunchiglia, Mayukh Bagchi:
Object Recognition as Classification via Visual Properties. - Yong Cao, Yukun Feng, Shaohui Kuang, Gu Xu:
Spiral Language Modeling. - Chupeng Ma, Christian Alber, Robert Scheichl:
Wavenumber explicit convergence of a multiscale GFEM for heterogeneous Helmholtz problems. - Kamel-Eddine Harabi, Tifenn Hirtzlin, Clement Türck, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz:
A Memristor-Based Bayesian Machine. - Gabrio Rizzuti, Tristan van Leeuwen:
WaRIance: wavefield reconstruction inversion with stochastic variable projection. - Anastasia-Maria Leventi-Peetz, T. Östreich, Werner Lennartz, Kai Weber:
Scope and Sense of Explainability for AI-Systems. - Matej Ulcar, Marko Robnik-Sikonja:
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages. - Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. - Michael Breen-McKay, Brian Lavallee, Blair D. Sullivan:
Hardness of the Generalized Coloring Numbers. - Emil M. Constantinescu:
Implicit Extensions of an Explicit Multirate Runge-Kutta Scheme. - Jinfeng Wei, Yunxin Wang, Mengli Guo, Pei Lv, Xiaoshan Yang, Mingliang Xu:
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition. - Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian:
General Greedy De-bias Learning. - Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson:
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. - Sakib Shahriar, Kadhim Hayawi:
NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks. - Athanasios Lentzas, Dimitris Vrakas:
From Robot Self-Localization to Global-Localization: An RSSI Based Approach. 18-25 - Alessandro Benfenati, Alessio Marta:
A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes. - Huayi Wang, Chunli Zhu, Liheng Bian:
Image-free multi-character recognition. - Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah:
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Real-world Crash Data Study. - Vincent Brebion, Julien Moreau, Franck Davoine:
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras. - Thomas W. Campbell, Heinrich Roder, Robert W. Georgantas III, Joanna Roder:
Exact Shapley Values for Local and Model-True Explanations of Decision Tree Ensembles. - Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. - Trung Vu, Raviv Raich:
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. - Sayak Ray Chowdhury, Xingyu Zhou:
Differentially Private Regret Minimization in Episodic Markov Decision Processes. - Levi Kassel, Michael Werman:
DeePaste - Inpainting for Pasting. - Petra Csomós, Bálint Farkas, Balázs Kovács:
Error estimates for a splitting integrator for semilinear boundary coupled systems. - Jingchuan Hu, Shuai Guo, Kai Zhou, Yu Dong, Jun Xu, Li Song:
A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation. - Davide Torlo, Mario Ricchiuto:
Model order reduction strategies for weakly dispersive waves. - Shini Renjith, Annie Abraham, Surya B. Jyothi, Lekshmi Chandran, Jincy Thomson:
An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms. - Marissa Baxter, Lisa Ha, Kirill Perfiliev, Natalie Sayre:
Context-Based Music Recommendation Algorithm Evaluation. - Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-Commerce Recommendation. - Jonathan Mi, Yaqing Wang, Chen Li:
Omni-Roach: A legged robot capable of traversing multiple types of large obstacles and self-righting. - Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg:
Learning to integrate vision data into road network data. - Kaixiang Zhang, Zhaojian Li, Yongqiang Wang, Nan Li:
Privacy-Preserved Nonlinear Cloud-based Model Predictive Control via Affine Masking. - Kaled M. Alshmrany, Mohannad Aldughaim, Ahmed Bhayat, Lucas C. Cordeiro:
FuSeBMC v.4: Smart Seed Generation for Hybrid Fuzzing. - Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy:
Turbo-Sim: a generalised generative model with a physical latent space. - Jingren Xu, Xin Kang, Ronghaixiang Zhang, Ying-Chang Liang, Sumei Sun:
Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach. - Apostolos Kokolis, Namrata Mantri, Shrikanth Ganapathy, Josep Torrellas, John Kalamatianos:
A Method for Hiding the Increased Non-Volatile Cache Read Latency. - Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch:
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models. - Peyman Baghershahi, Reshad Hosseini, Hadi Moradi:
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction. - Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez:
Raw High-Definition Radar for Multi-Task Learning. - Samhita Kanaparthy, Sankarshan Damle, Sujit Gujar:
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing. - Chen Li, Matthew M. Dunlop, Georg Stadler:
Bayesian neural network priors for edge-preserving inversion. - Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad:
Proving Theorems using Incremental Learning and Hindsight Experience Replay. - Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. - Masahiro Nomura, Isao Ono:
Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies. - Valerio Pagliari, Kostas Papafitsoros, Bogdan Raita, Andreas Vikelis:
Bilevel training schemes in imaging for total-variation-type functionals with convex integrands. - Xianfang Zeng, Jiangning Zhang, Liang Liu, Guangzhong Tian, Yong Liu:
SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network. - Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. - Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni:
Adversarially Robust Stability Certificates can be Sample-Efficient. - Nicolae Suciu, Florin A. Radu:
Space-time upscaling of reactive transport in porous media. - Andrey Demichev, Alexander Kryukov:
Complete Decentralization of Distributed Data Storages Based on Blockchain Technology. - Siddhartha Datta, Konrad Kollnig, Nigel Shadbolt:
Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator. - Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan:
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs. - Moon Duchin, James M. Murphy, Thomas Weighill:
Measuring Segregation via Analysis on Graphs. - Dietmar Gallistl, Ngoc Tien Tran:
Convergence of a regularized finite element discretization of the two-dimensional Monge-Ampère equation. - Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. - Suhail Alsalehi, Erfan Aasi, Ron Weiss, Calin Belta:
Learning Spatio-Temporal Specifications for Dynamical Systems. - Bruno Artacho, Andreas E. Savakis:
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations. - Li Duan, Lewis Boyd, Gerardo Aragon-Camarasa:
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network. - Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. - Peihong Yuan, Mustafa Cemil Coskun:
Successive Cancellation Ordered Search Decoding of Modified GN-Coset Codes. - Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave:
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen:
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. - Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic:
Learning Semi-Structured Representations of Radiology Reports. - Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine:
RvS: What is Essential for Offline RL via Supervised Learning? - Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer:
High-Resolution Image Synthesis with Latent Diffusion Models. - Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Switched Linear Systems. - Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, Bolei Zhou:
3D-aware Image Synthesis via Learning Structural and Textural Representations. - Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo:
StyleSwin: Transformer-based GAN for High-resolution Image Generation. - Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. - Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. - Shichang Ding, Xiangyang Luo, Jinwei Wang, Neal Naixue Xiong:
GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation System. - Naveen Raman, Michael Yee:
Improving Learning-to-Defer Algorithms Through Fine-Tuning. - Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry:
Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning. - Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie:
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train. - Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia:
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models. - Mark A. Iwen, Michael Perlmutter, Mark Philip Roach:
Toward Fast and Provably Accurate Near-field Ptychographic Phase Retrieval. - Marcell Vazquez-Chanlatte, Ameesh Shah, Gil Lederman, Sanjit A. Seshia:
Demonstration Informed Specification Search. - Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. - Stacey Li, Sven Krome, Ilan Mandel, Marcel Walch, Wendy Ju:
The PUEVA Inventory: A Toolkit to Evaluate the Personality, Usability and Enjoyability of Voice Agents. - Anthony Skjellum, Derek Schafer:
Checkpoint-Restart Libraries Must Become More Fault Tolerant. - Patrick Buchfink, Silke Glas, Bernard Haasdonk:
Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. - Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
Natural language processing to identify lupus nephritis phenotype in electronic health records. - Abal-Kassim Cheik Ahamed, Alban Desmaison, Frédéric Magoulès:
Fast and Green Computing with Graphics Processing Units for solving Sparse Linear Systems. - Ananya Bhattacharjee, Pan Chen, Linjia Zhou, Abhijoy Mandal, Jai Aggarwal, Katie O'Leary, Anne Hsu, Alex Mariakakis, Joseph Jay Williams:
Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions. - Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song:
One Sketch for All: One-Shot Personalized Sketch Segmentation. - Amitangshu Mukherjee, Isha Garg, Kaushik Roy:
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift. - Rachel Minster, Irina Viviano, Xiaotian Liu, Grey Ballard:
CP Decomposition for Tensors via Alternating Least Squares with QR Decomposition. - Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. - Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou:
Cell-Free Massive MIMO Meets OTFS Modulation. - He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu:
Translational Concept Embedding for Generalized Compositional Zero-shot Learning. - Chana Ross, Yakov Miron, Yuval Goldfracht, Dotan Di Castro:
AGPNet - Autonomous Grading Policy Network. - J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain:
Enabling NAS with Automated Super-Network Generation. - Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash:
Learning Bayesian Networks in the Presence of Structural Side Information. - Nasim Soltani, Debashri Roy, Kaushik R. Chowdhury:
PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization. - Vojtech Kovarík, David Milec, Michal Sustr, Dominik Seitz, Viliam Lisý:
Fast Algorithms for Poker Require Modelling it as a Sequential Bayesian Game. - Thierry Petit, Randy J. Zauhar:
A Constraint Programming Approach to Weighted Isomorphic Mapping of Fragment-based Shape Signatures. - Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. - Jian Cui, Zirui Lan, Tianhu Zheng, Yisi Liu, Olga Sourina, Lipo Wang, Wolfgang Müller-Wittig:
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model. - Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie:
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks. - Jeffrey Uhlmann, Miguel R. Zuniga:
The Cascading Metric Tree. - Yuanjie Xia, Mohamed Khamis, F. Anibal Fernandez, Hadi Heidari, Haider Butt, Zubair Ahmed, Tim Wilkinson, Rami Ghannam:
State-of-the-Art in Smart Contact Lenses for Human Machine Interaction. - Seiji Matsumura, Dan Mikami, Naoki Saijo, Makio Kashino:
Spatiotemporal Motion Synchronization for Snowboard Big Air. - Peter Christen, Rainer Schnell:
Common Misconceptions about Population Data. - Amogh Lonkar, Scott Beamer:
Accelerating Clique Counting in Sparse Real-World Graphs via Communication-Reducing Optimizations. - Ripon K. Saha, Yingjun Lyu, Hiroaki Yoshida, Mukul R. Prasad:
Elixir: Effective object-oriented program repair. - Zihao Deng, Zee Fryer, Brendan Juba, Rina Panigrahy, Xin Wang:
Provable Hierarchical Lifelong Learning with a Sketch-based Modular Architecture. - Musengamana Jean de Dieu, Peng Liang, Mojtaba Shahin:
How Do Developers Search for Architectural Information? An Industrial Survey. - Immanuel Trummer:
DB-BERT: a Database Tuning Tool that "Reads the Manual". - Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. - Mingxuan Han, Jeff M. Phillips, Sneha Kumar Kasera:
Hiding Signal Strength Interference from Outside Adversaries. - Tatsuya Akutsu, Avraham A. Melkman:
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder. - Ruiyin Li, Peng Liang, Mohamed Soliman, Paris Avgeriou:
Understanding Software Architecture Erosion: A Systematic Mapping Study. - Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao:
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. - Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach:
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. - Phyllipe Lima, Jorge Melegati, Everaldo Gomes, Nathalya Stefhany Pereira, Eduardo Guerra, Paulo Meirelles:
CADV: A software visualization approach for code annotations distribution. - Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. - Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh:
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design. - Si-yu Zhang, Zhongliang Yang, Haoqin Tu, Jinshuai Yang, Yongfeng Huang:
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models. - Xu Kang, Bin Song, Jie Guo, Zhijin Qin, F. Richard Yu:
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems. - Peipei Yu, Hongxun Hui, Hongcai Zhang, Ge Chen, Yonghua Song:
District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning. - Esteban Vargas Bernal, Mason A. Porter, Joseph H. Tien:
An Extension of InfoMap to Absorbing Random Walks. - Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. - Jincheng Dai, Sixian Wang, Kailin Tan, Zhongwei Si, Xiaoqi Qin, Kai Niu, Ping Zhang:
Nonlinear Transform Source-Channel Coding for Semantic Communications. - Jingchao Peng, Haitao Zhao, Zhengwei Hu, Zhuang Yi, Bofan Wang:
DRPN: Making CNN Dynamically Handle Scale Variation. - Fanqing Lin, Brian L. Price, Tony R. Martinez:
Generalizing Interactive Backpropagating Refinement for Dense Prediction. - Xuelian Bao, Chun Liu, Yiwei Wang:
On a deterministic particle-FEM discretization to micro-macro models of dilute polymeric fluids. - Yosuke Mizutani, Annie Staker, Blair D. Sullivan:
Sparse dominating sets and balanced neighborhood partitioning. - Armin Ziaie Tabari, Xinming Ou, Anoop Singhal:
What are Attackers after on IoT Devices? An approach based on a multi-phased multi-faceted IoT honeypot ecosystem and data clustering. - Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization. - Josh Myers-Dean, Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning. - Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. - Yi Li, Mingmou Liu:
Lower Bounds for Sparse Oblivious Subspace Embeddings. - Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping industrial poultry operations at scale with deep learning and aerial imagery. - Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu:
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement. - Xiangbo Shu, Jiawen Yang, Rui Yan, Yan Song:
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition. - Reza Parvaz:
Point spread function estimation for blind image deblurring problems based on framelet transform. - Xiang Rao, Hui Zhao, Wentao Zhan:
An Upwind General Finite Difference Method (GFDM) for Analysis of Heat and Mass Transfer in Porous Media. - Shuaibin Gao, Junhao Hu, Jie He, Qian Guo:
The truncated θ-Milstein method for nonautonomous and highly nonlinear stochastic differential delay equations. - Woojoo Kim, Shuping Xiong:
Pseudo-Haptic Button for Improving User Experience of Mid-Air Interaction in VR. - Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. - Munesh Kumari, Jagmohan Tanti:
On the role of the Fibonacci matrix as key in modified ECC. - Rotem Leibovitz, Jhonathan Osin, Lior Wolf, Guy Gurevitch, Talma Hendler:
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits. - Amit Chakrabarti, Themistoklis K. Haris:
Counting Simplices in Hypergraph Streams. - Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and Its Convergence. - Lukasz Korycki, Bartosz Krawczyk:
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. - Pranjal Dutta, Mahesh Sreekumar Rajasree:
Efficient reductions and algorithms for variants of Subset Sum. - Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi, Karl Byleen-Higley:
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. - Jie Chen, Lifen Jiang, Chunmei Ma, Huazhi Sun:
Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors. - Mayank Pandey, Rachit Agarwal, Sandeep Kumar Shukla, Nishchal Kumar Verma:
Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase. - Jiho Hong, Mikyoung Lim:
Asymptotic analysis and numerical computation of the Laplacian eigenvalues using the conformal mapping. - Ling Ma, Wei Zhou, Sihai Yao, Hong Huang, Yinsong Xie, Haohao Liu, Changhua He:
Maxwell: a hardware and software highly integrated compute-storage system. - Robert Litschko, Ivan Vulic, Simone Paolo Ponzetto, Goran Glavas:
On Cross-Lingual Retrieval with Multilingual Text Encoders. - Md. Monowar Anjum, Shahrear Iqbal, Benoit Hamelin:
ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection. - Tikhon Pshenitsyn:
Grammars Based on a Logic of Hypergraph Languages. 1-18 - Nicolas Behr, Bello Shehu Bello, Sebastian Ehmes, Reiko Heckel:
Stochastic Graph Transformation For Social Network Modeling. 35-50 - Ahamad Reza Mir Mohammadi Kooshknow, Rien Herber, Franco Ruzzenenti:
Is electricity storage systems in the Netherlands indispensable or doable? Testing electricity storage business models with exploratory agent-based modeling. - Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan:
SOIT: Segmenting Objects with Instance-Aware Transformers. - Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis:
Distributed Machine Learning and the Semblance of Trust. - You-Wei Luo, Chuan-Xian Ren, Zi-Ying Chen:
Geometry-Aware Unsupervised Domain Adaptation. - Sravanthi Chede, Anil Shukla:
Extending Merge Resolution to a Family of Proof Systems. - Hieu Trung Tran, Hanh Hong-Phuc Vo, Son T. Luu:
Predicting Job Titles from Job Descriptions with Multi-label Text Classification. - Xin Wang, Hong Shen:
A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing. - Ignacio Díaz-Cano, Fernando M. Quintana, Miguel Lopez-Fuster, Francisco Javier Badesa, Pedro L. Galindo, Arturo Morgado Estevez:
Online programming system for robotic fillet welding in Industry 4.0. - Silvia Ghilezan, Jelena Ivetic, Simona Kasterovic, Pierre Lescanne:
L-types for resource awareness: an implicit name approach. - Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati, Shubhashis Sengupta:
An Inference Approach To Question Answering Over Knowledge Graphs. - Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima:
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital. - Yanni Georghiades, Karl Kreder, Jonathan Downing, Alan Orwick, Sriram Vishwanath:
BlockReduce - Scaling Proof-of-Work Blockchains. - Brian Courtehoute, Detlef Plump:
A Small-Step Operational Semantics for GP 2. 89-110 - Paola Francesca Antonietti, Stefano Berrone, Martina Busetto, Marco Verani:
Agglomeration-based geometric multigrid schemes for the Virtual Element Method. - Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. - Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev:
Can We Use Neural Regularization to Solve Depth Super-Resolution? - Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai:
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection. - Martin Schneider, Dennis Gläser, Kilian Weishaupt, Edward Coltman, Bernd Flemisch, Rainer Helmig:
Coupling staggered-grid and vertex-centered finite-volume methods for coupled porous-medium free-flow problems. - Aly Sabri Abdalla, Ali Behfarnia, Vuk Marojevic:
Aerial Base Station Positioning and Power Control for Securing Communications: A Deep Q-Network Approach. - Ilham A. Qasse, Shailesh Mishra, Mohammad Hamdaqa:
Chat2Code: Towards conversational concrete syntax for model specification and code generation, the case of smart contracts. - Arne Wendt, Thorsten Schüppstuhl:
A Solution to the Generalized ROS Hardware IO Problem - A Generic Modbus/TCP Device Driver for PLCs, Sensors and Actuators. - Philipp Meyer, Timo Häckel, Sandra Reider, Franz Korf, Thomas C. Schmidt:
Network Anomaly Detection in Cars: A Case for Time-Sensitive Stream Filtering and Policing. - Soumya Kundu, Saptarshi Bhattacharya, Himanshu Sharma, Veronica Adetola:
Developing and Validating Semi-Markov Occupancy Generative Models: A Technical Report. - Ying Wai Lee:
Empirically Improved Tokuda Gap Sequence in Shellsort. - Zhenyang Shi, Surya P. N. Singh:
Soft Actor-Critic with Cross-Entropy Policy Optimization. - Konrad Kollnig, Reuben Binns, Max Van Kleek, Ulrik Lyngs, Jun Zhao, Claudine Tinsman, Nigel Shadbolt:
Before and after GDPR: tracking in mobile apps. - Valdemar Svábenský, Jan Vykopal, Daniel Tovarnák, Pavel Celeda:
Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. - Marielena Márquez-Barreiro, Miguel Rodríguez-Pérez, Sergio Herrería-Alonso:
Trying an IP Over NDN Packet Gateway. - Xufei Wang, Zexin Yang, Xiaojun Cheng, Jantien E. Stoter, Wenbin Xu, Zhenlun Wu, Liangliang Nan:
Efficient Registration of Forest Point Clouds by Global Matching of Relative Stem Positions. - Shangda Wu, Yue Yang, Zhaowen Wang, Xiaobing Li, Maosong Sun:
Melody Harmonization with Controllable Harmonic Rhythm. - Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin:
Learning Human Motion Prediction via Stochastic Differential Equations. - Konrad Jalowiecki, Lukasz Pawela:
Omnisolver: an extensible interface to Ising spin glass solvers. - Zongji Wang, Yunfei Liu, Feng Lu:
Cloud Sphere: A 3D Shape Representation via Progressive Deformation. - Vasileios Perifanis, George Drosatos, Giorgos Stamatelatos, Pavlos S. Efraimidis:
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence. - Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. - Giulia Di Nunno, Salvador Ortiz-Latorre, Andreas Petersson:
SPDE bridges with observation noise and their spatial approximation. - Yi Li, Yang Sun, Syed Mohsen Naqvi:
Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent. - Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only. - Ebert Schoofs, Mehrdad Abdi, Serge Demeyer:
AmPyfier: Test Amplification in Python. - Ahmed Abdeljawad, Philipp Grohs:
Integral representations of shallow neural network with Rectified Power Unit activation function. - Ozan Aygün, Mohammad Kazemi, Deniz Gündüz, Tolga M. Duman:
Hierarchical Over-the-Air Federated Edge Learning. - Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu:
Dynamically Stable Poincaré Embeddings for Neural Manifolds. - Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen:
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. - Ryan Fellows, Hisham Ihshaish, Steve Battle, Ciaran Haines, Peter Mayhew, Juan Ignacio Deza:
Task-oriented Dialogue Systems: performance vs. quality-optima, a review. - Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi:
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. - Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran:
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface. - Ariel Kellison:
A Machine-Checked Direct Proof of the Steiner-Lehmus Theorem. - Erland Wittkotter, Roman Yampolskiy:
Principles for new ASI Safety Paradigms. - Sakshini Hangloo, Bhavna Arora:
Fake News Detection Tools and Methods - A Review. - Mehrnoosh Askarpour:
Observations on Transitioning to Teaching Computer Science Online. - Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut, Ladislau Bölöni:
Predicting infections in the Covid-19 pandemic - lessons learned. - Daehan Kim, Hyeonseong Choi, Guik Jung:
Diagnostic Assessment Generation via Combinatorial Search. - Omid Fatahi Valilai:
A Network based Blockchain ecosystem for peer review publication. - Omid Ziaee, Mohsen Hamedi:
Augmented reality applications in manufacturing and its future scope in Industry 4.0. - Susannah Kate Devitt, Jason Scholz, Timo Schless, Larry Lewis:
Developing a Trusted Human-AI Network for Humanitarian Benefit. - Yu-Cheng Tu, Ewan D. Tempero, Paramvir Singh, Andrew Meads:
The Industry Relevance of an IT Transition Programme. - Ana Valdivia, Júlia Corbera-Serrajòrdia, Aneta Swianiewicz:
There is an elephant in the room: Towards a critique on the use of fairness in biometrics. - Chinazunwa Uwaoma, Gunjan Mansingh:
Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas. - Muhammad Jamal Shehab, Mosa Alokla, Mais Alkhateeb, Mohammad Alokla:
Hybrid Learning Aided Technology-Rich Instructional Tools - A Case Study: Community College of Qatar. - Annette Stawsky, Kang-Yu Wang, Ye In Kim, Dong Hyuk Shin:
Best Privacy Practice Recommendations for Global Audio Streaming Platforms. - Leslie Pack Kaelbling, Alex LaGrassa, Tomás Lozano-Pérez:
Specifying and achieving goals in open uncertain robot-manipulation domains. - Shimin Li, Hang Yan, Xipeng Qiu:
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer. - Siddharth Sachdeva, Angel Hsu, Ian French, Elwin Lim:
How are cities pledging net zero? A computational approach to analyzing subnational climate strategies. - (Withdrawn) Artificial Intelligence Ethics and Safety: practical tools for creating "good" models.
- Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. - Enrico Ferrentino, Pasquale Chiacchio, Giovanni Russo:
Discrete fully probabilistic design: a tool to design control policies from examples. - Sina Malakpour Estalaki, Cody S. Lough, Robert G. Landers, Edward C. Kinzel, Tengfei Luo:
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning. - Joseph R. Barr, Peter Shaw, Tyler Thatcher:
Vulnerability Analysis of the Android Kernel. - Nurul Suhaimi, Nutchanon Yongsatianchot, Yixuan Zhang, Anisa Amiji, Shivani A. Patel, Stacy Marsella, Miso Kim, Jacqueline A. Griffin, Andrea G. Parker:
Examining Older Adults' Information Exposure, Wellbeing, and Adherence to Protective Measures During the COVID-19 Pandemic. - Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li:
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients. - Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie:
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles. - Yasir Ali Farrukh, Irfan Khan:
An Autonomous Self-Incremental Learning Approach for Detection of Cyber Attacks on Unmanned Aerial Vehicles (UAVs). - Ali Pourranjbar, Georges Kaddoum, Walid Saad:
Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach. - Wenjin Tao, Haodong Chen, Md. Moniruzzaman, Ming C. Leu, Zhaozheng Yi, Ruwen Qin:
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals. - (Withdrawn) Energy-bounded Learning for Robust Models of Code.
- Tom Bewley, Freddy Lécué:
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. - Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. - Damien Bouchabou, Christophe Lohr, Ioannis Kanellos, Sao Mai Nguyen:
Human Activity Recognition (HAR) in Smart Homes. - Vittorio Orbinato:
A next-generation platform for Cyber Range-as-a-Service. - Matteo Terzi, Mattia Carletti, Gian Antonio Susto:
Improving Robustness with Image Filtering. - Marco Caliari, Fabio Cassini, Franco Zivcovich:
A μ-mode BLAS approach for multidimensional tensor-structured problems. - Dhruva Pendharkar, Kinjal Basu, Farhad Shakerin, Gopal Gupta:
An ASP-based Approach to Answering Natural Language Questions for Texts. - Alessandro Benfenati, Paola Causin, Roberto Oberti, Giovanni Stefanello:
Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging. - (Withdrawn) Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection.
- Aijing Gao, Bingjun Wang, Jiaqi Yin, Yating Tian:
Hateful Memes Challenge: An Enhanced Multimodal Framework. - Nuriel Shalom Mor:
Generating Photo-realistic Images from LiDAR Point Clouds with Generative Adversarial Networks. - Tomoyoshi Shimobaba, Sota Oshima, Takashi Kakue, Tomoyoshi Ito:
Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks. - Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. - Rama Vadapalli, Nagamanikandan Govindan, K. Madhava Krishna:
Design And Analysis Of Three-Output Open Differential with 3-DOF. - Andrea Stocco, Brian Pulfer, Paolo Tonella:
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. - Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. - Dishanika Denipitiyage, Vinoj Jayasundara, Ranga Rodrigo, Chamira U. S. Edussooriya:
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing. - Farshad Rostami Ghadi, Francisco Javier López-Martínez, Wei-Ping Zhu, Jean-Marie Gorce:
The Impact of Side Information on Physical Layer Security under Correlated Fading Channels. - Attila Klenik, András Pataricza:
Adding semantics to measurements: Ontology-guided, systematic performance analysis. - Ren-Wu Li, Bo Wang, Chun-Peng Li, Ling-Xiao Zhang, Lin Gao:
High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling. - Attila Klenik, Imre Kocsis:
Porting a benchmark with a classic workload to blockchain: TPC-C on Hyperledger Fabric. - Zhe Yu, Xiaoyin Xi:
A Pilot Study on Detecting Unfairness in Human Decisions With Machine Learning Algorithmic Bias Detection. - Johnny Rhe, Sungmin Moon, Jong Hwan Ko:
VW-SDK: Efficient Convolutional Weight Mapping Using Variable Windows for Processing-In-Memory Architectures. - Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou:
Geographical Peer Matching for P2P Energy Sharing. - Lorenzo Maffia, Dario Nisi, Platon Kotzias, Giovanni Lagorio, Simone Aonzo, Davide Balzarotti:
Longitudinal Study of the Prevalence of Malware Evasive Techniques. - Zitong Yu, Jukka Komulainen, Xiaobai Li, Guoying Zhao:
Review of Face Presentation Attack Detection Competitions. - Mariya Hendriksen, Maurits J. R. Bleeker, Svitlana Vakulenko, Nanne van Noord, Ernst Kuiper, Maarten de Rijke:
Extending CLIP for Category-to-image Retrieval in E-commerce. - Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen:
Implicit Neural Video Compression. - Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf:
On the Adversarial Robustness of Causal Algorithmic Recourse. - Pietro Tedeschi, Savio Sciancalepore, Roberto Di Pietro:
Satellite-Based Communications Security: A Survey of Threats, Solutions, and Research Challenges. - Qin Liu:
iSegFormer: Interactive Image Segmentation with Transformers. - Nati Ofir:
Multispectral image fusion by super pixel statistics. - Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra:
PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. - Paolo Massa, Sara Garbarino, Federico Benvenuto:
Regularization from examples via neural networks for parametric inverse problems: topology matters. - Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel:
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass. - Anshuman Misra, Ajay D. Kshemkalyani:
Byzantine Fault Tolerant Causal Ordering. - Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha:
Transferable End-to-end Room Layout Estimation via Implicit Encoding. - Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo:
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. - Diana Manvelyan, Bernd Simeon, Utz Wever:
A Physics-Based Model Reduction Approach for Node-to-Segment Contact Problems in Linear Elasticity. - Ayan Chakraborty, Thomas Wick, Xiaoying Zhuang, Timon Rabczuk:
Multigoal-oriented dual-weighted-residual error estimation using deep neural networks. - Joseph Y. Halpern, Spencer Peters:
Reasoning About Causal Models With Infinitely Many Variables. - Tommaso Sorgente, Silvia Biasotti, Gianmarco Manzini, Michela Spagnuolo:
Polyhedral Mesh Quality Indicator for the Virtual Element Method. - Christopher Lang, Alexander Braun, Abhinav Valada:
Contrastive Object Detection Using Knowledge Graph Embeddings. - Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls:
Deep Learning and Earth Observation to Support the Sustainable Development Goals. - Philip Freese, Moritz Hauck, Daniel Peterseim:
Super-localized Orthogonal Decomposition for high-frequency Helmholtz problems. - Hideki Kawahara, Kohei Yatabe:
Safeguarding test signals for acoustic measurement using arbitrary sounds. - Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen:
Shape from Polarization for Complex Scenes in the Wild. - Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021. - Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Supervised Graph Contrastive Pretraining for Text Classification. - Guillermo Cámbara, Jordi Luque, Mireia Farrús:
Voice Quality and Pitch Features in Transformer-Based Speech Recognition. - Anirudh C, Ashish Choudhury, Arpita Patra:
A Survey on Perfectly-Secure Verifiable Secret-Sharing. - Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva, Hadiseh Safdari, Diego Baptista, Tracy M. Sweet, Jean-Gabriel Young, Jeremy M. Koster, Cody T. Ross, Richard McElreath, Daniel Redhead, Eleanor A. Power:
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. - Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. - Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon:
Toward Explainable AI for Regression Models. - Andrea Fresa, Jaya Prakash Champati:
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint. - Jan Pennekamp, Erik Buchholz, Markus Dahlmanns, Ike Kunze, Stefan Braun, Eric Wagner, Matthias Brockmann, Klaus Wehrle, Martin Henze:
Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use. - Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman:
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation. - David Meyer, Sue Grimmond, Peter Dueben, Robin J. Hogan, Maarten van Reeuwijk:
Machine Learning Emulation of Urban Land Surface Processes. - Moab Arar, Ariel Shamir, Amit H. Bermano:
Learned Queries for Efficient Local Attention. - Matt McVicar, Bruno Di Giorgi, Baris Dundar, Matthias Mauch:
Lyric document embeddings for music tagging. - Junhao Xu, Jianwei Yu, Shoukang Hu, Xunying Liu, Helen Meng:
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition. - Azzam Alwan, Maayane Attias, Larry Rubin, Adnan El Bakri:
Automated Drug-Related Information Extraction from French Clinical Documents: ReLyfe Approach. - Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala I. Al-Fuqaha:
NLP Techniques for Water Quality Analysis in Social Media Content. - Weiran Wang, Ke Hu, Tara N. Sainath:
Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding. - Tuo Sun, Wanrong Zheng, Shufan Yu, Mengxun Li, Jiarui Ou:
ESAN: Efficient Sentiment Analysis Network of A-Shares Research Reports for Stock Price Prediction. - Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: a Text and Graph Neural Network Based Approach. - Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Peng Liu:
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix. - Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. - Omid Taheri, Vasileios Choutas, Michael J. Black, Dimitrios Tzionas:
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping. - Yi Li, Yang Sun, Syed Mohsen Naqvi:
Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training. - Erich Wolff, Felipe Muñoz:
The Techno-politics of Crowdsourced Disaster Data in the Smart City. - Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang:
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information. - Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan:
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. - Juan Ciro, Daniel Galvez, Tim Schlippe, David Kanter:
LSH methods for data deduplication in a Wikipedia artificial dataset. - Vedangi Wagh, Geet Shingi:
AtteSTNet - An attention and subword tokenization based approach for code-switched Hindi-English hate speech detection. - Saeed Damadi:
On the Compression of Natural Language Models. - Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. - Gilles Hacheme:
English2Gbe: A multilingual machine translation model for {Fon/Ewe}Gbe. - Alejandro Rodriguez Pascual:
BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer. - Anastasia-Maria Leventi-Peetz, Oliver Zendel, Werner Lennartz, Kai Weber:
CryptoMiniSat Switches-Optimization for Solving Cryptographic Instances. - Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. - Joshua A. Grochow, Michael Levet:
Weisfeiler-Leman for Group Isomorphism: Action Compatibility. - Chloe He, Borja G. León, Francesco Belardinelli:
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding. - Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. - Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef:
Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. - Zongyu Dai, Zhiqi Bu, Qi Long:
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. - Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard:
PyTracer: Automatically profiling numerical instabilities in Python. - Tianxiong Wang, Mihai-Alin Badiu, Gaojie Chen, Justin P. Coon:
Performance Analysis of IOS-Assisted NOMA System with Channel Correlation and Phase Errors. - Tianyi Zhang, Hongwei Zhang, Zhibo Meng:
Interference and Coverage Analysis of mmWave Inter-Vehicle Broadcast with Directional Antennas. - Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell:
Off Environment Evaluation Using Convex Risk Minimization. - Junhao Xu, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng:
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition. - Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. - Yanquan Chen, Fei Yang, Tianyu Lang, Guanfang Dong, Anup Basu:
Real-time Street Human Motion Capture. - Aleksandar S. Dimovski:
Model Sketching by Abstraction Refinement for Lifted Model Checking (Extended Version). - Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Decompose the Sounds and Pixels, Recompose the Events. - Litao Yu, Zhibin Li, Min Xu, Yongsheng Gao, Jiebo Luo, Jian Zhang:
Distribution-aware Margin Calibration for Semantic Segmentation in Images. - Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. - Maryam Pardakhti, Nila Mandal, Anson W. K. Ma, Qian Yang:
Practical Active Learning with Model Selection for Small Data. - Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister:
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. - Sameera Ramasinghe, Simon Lucey:
Learning Positional Embeddings for Coordinate-MLPs. - Jawad Haj-Yahya, Jeremie S. Kim, Abdullah Giray Yaglikçi, Jisung Park, Efraim Rotem, Yanos Sazeides, Onur Mutlu:
DarkGates: A Hybrid Power-Gating Architecture to Mitigate the Performance Impact of Dark-Silicon in High Performance Processors. - Mohsen Gholami, Bastian Wandt, Helge Rhodin, Rabab Ward, Z. Jane Wang:
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation. - Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Eduardo Mendes, Fábio Petrillo:
Log severity level classification: an approach for systems in production. - Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee:
Rightsizing Clusters for Time-Limited Tasks. - Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Identifying Mixtures of Bayesian Network Distributions. - David Eppstein:
The Complexity of Iterated Reversible Computation. - Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. - Junxiang Wang, Hongyi Li, Liang Zhao:
A Convergent ADMM Framework for Efficient Neural Network Training. - Alexander D. Gilbert, Frances Y. Kuo, Ian H. Sloan:
Preintegration is not smoothing when monotonicity fails. - Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood:
An Alternate Policy Gradient Estimator for Softmax Policies. - Weijun Wang, Andrew Howard:
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context. - Dimas M. Rachman, Atsuo Maki, Yoshiki Miyauchi, Naoya Umeda:
Warm-started Semionline Trajectory Planner for Ship's Automatic Docking (Berthing). - Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. - Hussin K. Ragb, Redha Ali, Elforjani Jera, Nagi Buaossa:
Convolutional neural network based on transfer learning for breast cancer screening. - Minghan Wang, Jiaxin Guo, Yuxia Wang, Daimeng Wei, Hengchao Shang, Chang Su, Yimeng Chen, Yinglu Li, Min Zhang, Shimin Tao, Hao Yang:
Diformer: Directional Transformer for Neural Machine Translation. - Oleg V. Vasilyev, John Bohannon:
Consistency and Coherence from Points of Contextual Similarity. - Jiaxin Guo, Minghan Wang, Daimeng Wei, Hengchao Shang, Yuxia Wang, Zongyao Li, Zhengzhe Yu, Zhanglin Wu, Yimeng Chen, Chang Su, Min Zhang, Lizhi Lei, Shimin Tao, Hao Yang:
Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation. - Min Jin Chong, David A. Forsyth:
JoJoGAN: One Shot Face Stylization. - Zhengzhe Yu, Jiaxin Guo, Minghan Wang, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhanglin Wu, Yuxia Wang, Yimeng Chen, Chang Su, Min Zhang, Lizhi Lei, Shimin Tao, Hao Yang:
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models. - Viren Khandal, Arth Vidyarthi:
Exploring Credibility Scoring Metrics of Perception Systems for Autonomous Driving. - Sen Pei, Xin Zhang, Richard Yida Xu, Gaofeng Meng:
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples. - Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. - Yueyang Liu, Hunmin Lee, Zhipeng Cai:
An Attention Score Based Attacker for Black-box NLP Classifier. - Kewei Song, Yue Cui, Tiannan Tao, Xiangyi Meng, Michinari Sone, Masahiro Yoshino, Shinjiro Umezu, Hirotaka Sato:
New metal-plastic hybrid additive manufacturing strategy: Fabrication of arbitrary metal-patterns on external and even internal surfaces of 3D plastic structures. - Ziyi Chen, Shaocong Ma, Yi Zhou:
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning. - Yuhan Liu, Roland Tóth:
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. - Xinshuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang:
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? - Xing Han, Jing Hu, Joydeep Ghosh:
MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series. - Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization. - Qingyuan Gong, Yu Liu, Liqiang Zhang, Renhe Liu:
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition. - Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform. - Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim:
Cost Aggregation Is All You Need for Few-Shot Segmentation. - Jonathan T. Barron:
Squareplus: A Softplus-Like Algebraic Rectifier. - Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang:
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. - Xu Yan, Zhihao Yuan, Yuhao Du, Yinghong Liao, Yao Guo, Zhen Li, Shuguang Cui:
CLEVR3D: Compositional Language and Elementary Visual Reasoning for Question Answering in 3D Real-World Scenes. - Mona Köhler, Markus Eisenbach, Horst-Michael Gross:
Few-Shot Object Detection: A Survey. - Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. - Rui Zhao, Jinming Song, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei:
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination. - Bingxue Wu, Jiao Wei, Chen Li, Yudong Yao, Yueyang Teng:
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration. - Cheng Jiang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao:
Fusion of medical imaging and electronic health records with attention and multi-head machanisms. - Meng-Tzu Chiu, Hsun-Ying Cheng, Chien-Yi Wang, Shang-Hong Lai:
High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network. - Zhitao Liu, Jinke Shi, Junhao He, Yu Wu, Ning Xie, Ke Xiong, Yutong Liu:
The Time Perception Control and Regulation in VR Environment. - Ricardo Bigolin Lanfredi, Ambuj Arora, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen:
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays. - Jan Østergaard:
Stabilizing Error Correction Codes for Control over Erasure Channels. - Lin Yang, Yi Shen, Yue Mao, Longjun Cai:
Hybrid Curriculum Learning for Emotion Recognition in Conversation. - Deepesh Chaudhari, Rachit Agarwal, Sandeep Kumar Shukla:
Towards Malicious address identification in Bitcoin. - Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy T. Ngo, Erik G. Larsson, Tho Le-Ngoc:
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations. - Liming Zhai, Lina Wang, Yanzhen Ren, Yang Liu:
Generalized Local Optimality for Video Steganalysis in Motion Vector Domain. - Zhitao Liu, Ning Xie, Guobiao Yang, Jiale Dou, Lanxiao Huang, Guang Yang, Lin Yuan:
GUX-Analyzer: A Deep Multi-modal Analyzer Via Motivational Flow For Game User Experience. - Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Dibangoye, Olivier Simonin, Joshua Romoff, Christian Wolf:
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment. - Honglu Zhou, Advith Chegu, Samuel S. Sohn, Mubbasir Kapadia:
Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning. - Zite Jiang, Boxiao Liu, Shuai Zhang, Xingzhong Hou, Mengting Yuan, Haihang You:
An Efficient Pruning Process with Locality Aware Exploration and Dynamic Graph Editing for Subgraph Matching. - Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. - Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. - Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi, Jean-Marc Andreoli:
Simple and Effective Balance of Contrastive Losses. - Quentin Stiévenart, Coen De Roover, Mohammad Ghafari:
Security Risks of Porting C Programs to WebAssembly. - Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen:
Class-aware Sounding Objects Localization via Audiovisual Correspondence. - Sascha Kurz:
Divisible Codes. - Sascha Kurz:
Construction and bounds for subspace codes. - Joao Mario Domingos, Pedro Tomás, Leonel Sousa:
Supporting RISC-V Performance Counters through Performance analysis tools for Linux (Perf). - Mohamed Ghanem, Daoud Siniora:
On Theoretical Complexity and Boolean Satisfiability. - Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. - Christian Oliva, Luis Fernando Lago-Fernández:
The Importance of the Current Input in Sequence Modeling. - Sascha Kurz, Alexander Mayer, Stefan Napel:
The Art and Beauty of Voting Power. - Zhuang Jia:
Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising. - Yannick Forster:
Parametric Church's Thesis: Synthetic Computability without Choice. - Mahdi Boloursaz Mashhadi, Deniz Gündüz, Alberto Perotti, Branislav M. Popovic:
DRF Codes: Deep SNR-Robust Feedback Codes. - Junjie Huang, Guan Huang, Zheng Zhu, Dalong Du:
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View. - Andrew Gibbs, David P. Hewett, Andrea Moiola:
Numerical Quadrature for Singular Integrals on Fractals. - Manuel Bogoya, Stefano Serra-Capizzano:
Eigenvalue superposition expansion for Toeplitz matrix-sequences, generated by linear combinations of matrix-order dependent symbols, and applications to fast eigenvalue computations. - Thomas Delva, Anastasia Dimou, Maxime Jakubowski, Jan Van den Bussche:
Shape Fragments. - Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley:
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. - Fabrizio Grandoni, Afrouz Jabal Ameli, Vera Traub:
Breaching the 2-Approximation Barrier for the Forest Augmentation Problem. - Lukas Gienapp, Wolfgang Kircheis, Bjarne Sievers, Benno Stein, Martin Potthast:
STEREO: Scientific Text Reuse in Open Access Publications. - Benedikt Wagner, Artur S. d'Avila Garcez:
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding. - Alice Tarzariol, Martin Gebser, Konstantin Schekotihin:
Lifting Symmetry Breaking Constraints with Inductive Logic Programming. - Eyar Ben-Tolila, Moshe Schwartz:
On the Reverse-Complement String-Duplication System. - Xiong Wang, Jiancheng Ye, John C. S. Lui:
Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach. - Mohamed A. Ghanem, Alaa A. Anani:
Binary Image Skeletonization Using 2-Stage U-Net. - Yurij L. Katchanov, Yulia V. Markova:
Dynamics of senses of new physics discourse: co-keywords analysis. - Yossi Azar, Debmalya Panigrahi, Noam Touitou:
Online Graph Algorithms with Predictions. - George Kour, Marcel Zalmanovici, Orna Raz, Samuel Ackerman, Ateret Anaby-Tavor:
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation. - Milan Kresovic, Thong Duy Nguyen:
Bottom-up approaches for multi-person pose estimation and it's applications: A brief review. - Alan F. Hegarty, Eugene O'Riordan:
A numerical method for singularly perturbed convection-diffusion problems posed on smooth domains. - Alan Lukezic, Jirí Matas, Matej Kristan:
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. - Tiziano Piccardi, Martin Gerlach, Akhil Arora, Robert West:
A Large-Scale Characterization of How Readers Browse Wikipedia. - Alla R. Kammerdiner, Alexander Semenov, Eduardo Pasiliao:
Landscape properties of the very large-scale and the variable neighborhood search metaheuristics for the multidimensional assignment problem. - Nayan Varma Alluri, Neeli Dheeraj Krishna:
Multimodal Analysis of memes for sentiment extraction. - Florent Jousse, Xavier Pennec, Hervé Delingette, Matilde Gonzalez:
Geodesic squared exponential kernel for non-rigid shape registration. - A. Nayan Varma, Kedareshwara Petluri:
Movie Recommender System using critic consensus. - Arne Wendt, Michael Brand, Thorsten Schüppstuhl:
Semantically enriched spatial modelling of industrial indoor environments enabling location-based services. - Idan Amit:
End to End Software Engineering Research. - Mohamed Ghanem, Fadi Dawoud, Habiba Gamal, Eslam Soliman, Hossam Sharara, Tamer A. ElBatt:
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework. - Alexandru Calotoiu, Tal Ben-Nun, Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler:
Lifting C Semantics for Dataflow Optimization. - Abal-Kassim Cheik Ahamed, Frederic Magoules:
Iterative Krylov Methods for Acoustic Problems on Graphics Processing Unit. - Dave Murray-Rust, Chris Elsden, Bettina Nissen, Ella Tallyn, Larissa Pschetz, Chris Speed:
Blockchain and Beyond: Understanding Blockchains through Prototypes and Public Engagement. - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Weakly Supervised Localized Representations. - Simeon Ball:
The Grassl-Rötteler cyclic and consta-cyclic MDS codes are generalised Reed-Solomon codes. - Fan Meihao:
Few-shot Multi-hop Question Answering over Knowledge Base. - Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux:
Towards Interactive Language Modeling. - Qi He, João Sedoc, Jordan Rodu:
Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees. - Franziska Weeber, Felix Hamborg, Karsten Donnay, Bela Gipp:
Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort. - Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Automatic Product Copywriting for E-Commerce. - Hazel Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han:
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification. - Ahmad Jafari, Mohammad Vahab, Pooyan Broumand, Nasser Khalili:
An eXtended Finite Element Method Implementation in COMSOL Multiphysics: Thermo-Hydro-Mechanical Modeling of Fluid Flow in Discontinuous Porous Media. - Hamid Saber, Homayoon Hatami, Jung Hyun Bae:
List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels. - Razvan Ciobanu, Alexandru Purdila, Laurentiu Piciu, Andrei Ionut Damian:
SOLIS - The MLOps journey from data acquisition to actionable insights. - Willem Feijen, Guido Schäfer:
Using Machine Learning Predictions to Speed-up Dijkstra's Shortest Path Algorithm. - Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic:
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. - Attila Lajos Makai:
Startup Ecosystem Rankings. - Mahsa Noroozi, Markus Fidler:
A Min-plus Model of Age-of-Information with Worst-case and Statistical Bounds. - Huan Zhang, Shaodan Ma, Zheng Shi, Xin Zhao, Guanghua Yang:
Sum-Rate Maximization of RIS-Aided Multi-User MIMO Systems With Statistical CSI. - Aizaz Sharif, Dusica Marijan:
Adversarial Deep Reinforcement Learning for Trustworthy Autonomous Driving Policies. - Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha:
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. - Jörg Frohberg, Frank Binder:
CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models. - Jacob Armstrong, David A. Clifton:
Continual learning of longitudinal health records. - Aizaz Sharif, Dusica Marijan:
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment. - Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che:
Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding. - Maria Alkämper, Jim Magiera, Christian Rohde:
An Interface Preserving Moving Mesh in Multiple Space Dimensions. - Florian Beier, Robert Beinert, Gabriele Steidl:
On a linear Gromov-Wasserstein distance. - Mike Hardy:
Toward Educator-focused Automated Scoring Systems for Reading and Writing. - Mohammad Bajammal, Ali Mesbah:
Page Segmentation using Visual Adjacency Analysis. - Joseph Schuchart, Philipp Samfass, Christoph Niethammer, José Gracia, George Bosilca:
Callback-based Completion Notification using MPI Continuations. - George Gunter, Huichen Li, Avesta Hojjati, Matthew Nice, Matthew R. Bunting, Carl A. Gunter, Bo Li, Jonathan Sprinkle, Daniel B. Work:
Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection. - Yegor Bugayenko:
Reducing Programs to Objects. - Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. - Dana Skorvánková, Adam Riecický, Martin Madaras:
Automatic Estimation of Anthropometric Human Body Measurements. - Youngoh Bang, Simon S. Woo:
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images. - Henrique Siqueira, Patrick Ruhkamp, Ibrahim Halfaoui, Markus Karmann, Onay Urfalioglu:
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction. - Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez:
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images. - Christian Toemmel:
Catch Me If You GAN: Using Artificial Intelligence for Fake Log Generation. - Dan Tasse, Jason I. Hong:
Travel Guides for Creative Tourists, Powered by Geotagged Social Media. - Sara Marjanovic, Karolina Stanczak, Isabelle Augenstein:
Quantifying Gender Biases Towards Politicians on Reddit. - Sarah Leweke, Olaf Hauk, Volker Michel:
Vector-valued Spline Method for the Spherical Multiple-shell Electro-magnetoencephalography Problem. - Aleksander Kiryk:
An algorithm for generating random mixed-arity trees. - François De La Bourdonnaye, Fabrice Daniel:
Evaluating categorical encoding methods on a real credit card fraud detection database. - Dmytro Mishkin:
Learning and Crafting for the Wide Multiple Baseline Stereo. - Sumit Kumar, Harichandana B. S. S, Himanshu Arora:
VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation. - Suthee Ruangwises, Toshiya Itoh:
Physical ZKP for Makaro Using a Standard Deck of Cards. - Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu:
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications. - Maximilien de Bayser, Vinícius C. V. B. Segura, Leonardo Guerreiro Azevedo, Leonardo P. Tizzei, Raphael Melo Thiago, Elton F. S. Soares, Renato Cerqueira:
DevOps and Microservices in Scientific System development. - Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang:
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. - Chennakesava Kadapa:
Machine Learning for Computational Science and Engineering - a brief introduction and some critical questions. - Xiangjia Chen, Guoxin Fang, Wei-Hsin Liao, Charlie C. L. Wang:
Field-Based Toolpath Generation for 3D Printing Continuous Fibre Reinforced Thermoplastic Composites. - Veronika Lesch, Patrick B. M. Müller, Moritz Krämer, Samuel Kounev, Christian Krupitzer:
A Case Study on Optimization of Warehouses. - Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Ala I. Al-Fuqaha, Nasir Ahmad:
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content. - Soumya R. Sahoo, Jinfeng Liu:
Adaptive model reduction and state estimation of agro-hydrological systems. - Muhammet Damar:
Metaverse Shape of Your Life for Future: A bibliometric snapshot. - Wenyun Li, Chi-Man Pun:
A Single-Target License Plate Detection with Attention. - Litian Zhang, Xiaoming Zhang, Junshu Pan, Feiran Huang:
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization. - Anam Zahra, Pierre-Etienne Martin:
Two Stream Network for Stroke Detection in Table Tennis. - Pierre-Etienne Martin:
Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark. - Advait Vagerwal:
Deeper Learning with CoLU Activation. - Ronilson Rocha, Rene Orlando Medrano-T:
Chua Circuit based on the Exponential Characteristics of Semiconductor Devices. - Chao Jiang, Zhiling Wang, Shuhang Tan, Huawei Liang:
A New Adaptive Noise Covariance Matrices Estimation and Filtering Method: Application to Multi-Object Tracking. - Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng:
Input-Specific Robustness Certification for Randomized Smoothing. - Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira, Juan Carlos SanMiguel Avedillo:
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach. - Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Reflash Dropout in Image Super-Resolution. - Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees, Tayeb Kenaza:
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems. - Vishnu S. Chipade, Dimitra Panagou:
IDCAIS: Inter-Defender Collision-Aware Interception Strategy against Multiple Attackers. - MohammadReza Tavakoli, Abdolali Faraji, Mohammadreza Molavi, Stefan T. Mol, Gábor Kismihók:
Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments. - Giovanni Mizzi, Tobias Preis, Leonardo Soares Bastos, Marcelo Ferreira da Costa Gomes, Claudia Torres Codeço, Helen Susannah Moat:
Faster indicators of dengue fever case counts using Google and Twitter. - Amir Shakouri:
On the prescribed-time attractivity and frozen-time eigenvalues of linear time-varying systems. - Gabriele Fici, Jeffrey O. Shallit:
Properties of a Class of Toeplitz Words. - Katy Ilonka Gero, Lydia B. Chilton, Chris Melancon, Mike Cleron:
Eliciting Gestures for Novel Note-taking Interactions. - Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys:
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. - Gourav Datta, Peter A. Beerel:
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? - Qingxin Meng, Jian-Wei Liu:
A Unified Analysis Method for Online Optimization in Normed Vector Space. - Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. - Priyam Shah, Jie Ye, Xian-He Sun:
Survey the storage systems used in HPC and BDA ecosystems. - Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Open-Vocabulary Image Segmentation. - Jarle Sogn, Stefan Takacs:
Dual-Primal Isogeometric Tearing and Interconnecting methods for the Stokes problem. - Robert Cardona, Justin Curry, Tung Lam, Michael Lesnick:
The Universal 𝓁p-Metric on Merge Trees. - Yue Qi, Mojtaba Vaezi:
Signaling Design for MIMO-NOMA with Different Security Requirements. - Joachim Gwinner, Nina Ovcharova:
Regularized boundary element/finite element coupling for a nonlinear interface problem with nonmonotone set-valued transmission conditions. - Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström:
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition. - Houman Masnavi, Vivek K. Adajania, Karl Kruusamäe, Arun Kumar Singh:
Real-Time Multi-Convex Model Predictive Control for Occlusion Free Target Tracking. - Tanay Agrawal, Dhruv Agarwal, Michal Balazia, Neelabh Sinha, François Brémond:
Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding. - Christopher Tosh, Daniel Hsu:
Simple and near-optimal algorithms for hidden stratification and multi-group learning. - Duo Wang, Salah Karout:
Fine-grained Multi-Modal Self-Supervised Learning. - Evan Weissburg, Arya Kumar, Paramveer S. Dhillon:
Judging a book by its cover: Predicting the marginal impact of title on Reddit post popularity. - Michael Zwölfer, Dieter Heinrich, Kurt Schindelwig, Bastian Wandt, Helge Rhodin, Jörg Spörri, Werner Nachbauer:
Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations - combining input rotations and a kinematic model. - Vladimir Lemus, Eduardo Acuña, Víctor Zamora, Francisco Hernández Quiroz, Hector Zenil:
Computable Model Discovery and High-Level-Programming Approximations to Algorithmic Complexity. - Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North:
Design guidelines for narrative maps in sensemaking tasks. - Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge:
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions. - Agostina J. Larrazabal, César Ernesto Martínez, José Dolz, Enzo Ferrante:
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation. - Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich:
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. - Erich Round, Rikker Dockum, Robin J. Ryder:
Evolution and trade-off dynamics of functional load. - Julien Roy, Roger Girgis, Joshua Romoff, Pierre-Luc Bacon, Christopher J. Pal:
Direct Behavior Specification via Constrained Reinforcement Learning. - Carmen Amo Alonso, Fengjun Yang, Nikolai Matni:
Data-driven Distributed and Localized Model Predictive Control. - Nilupulee Anuradha Gunathilake, Ahmed Al-Dubai, William J. Buchanan, Owen Lo:
Electromagnetic Side-Channel Attack Resilience against PRESENT Lightweight Block Cipher. - Jiting Cao, Meng Zhang, Yang Li:
A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges. - Jerónimo Arenas-García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva, Vítor H. Nascimento, Ali H. Sayed:
Combinations of Adaptive Filters. - Yvonne Murray, Martin Sirevåg, Pedro Ribeiro, David A. Anisi, Morten Mossige:
Safety assurance of an industrial robotic control system using hardware/software co-verification. - Sergio Muñoz-Romero, Vanessa Gómez-Verdejo, Jerónimo Arenas-García:
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection. - Amin Banitalebi-Dehkordi, Yong Zhang:
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data. - Benjamin Kiefer, David Ott, Andreas Zell:
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles. - Timothy L. Molloy, Girish N. Nair:
Entropy-Regularized Partially Observed Markov Decision Processes. - Érick O. Rodrigues, Aura Conci, Panos Liatsis:
Morphological classifiers. - Mohammad Zarei, Bruce Hellinga:
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions. - Carla Mascia, Enrico Piccione, Massimiliano Sala:
An algebraic attack on stream ciphers with application to nonlinear filter generators and WG-PRNG. - Niranjan Sridhar, Lance Myers:
Human Activity Recognition on wrist-worn accelerometers using self-supervised neural networks. - Randy Frans Fela, Nick Zacharov, Søren Forchhammer:
Perceptual Evaluation of 360 Audiovisual Quality and Machine Learning Predictions. - Felipe S. Abrahão, Hector Zenil, Fábio Porto, Klaus Wehmuth:
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning. - Olga Ohrimenko, Anthony Wirth, Hao Wu:
Randomize the Future: Asymptotically Optimal Locally Private Frequency Estimation Protocol for Longitudinal Data. - Brett Daley, Christopher Amato:
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions. - Yun Zhang, Linwei Zhu, Gangyi Jiang, Sam Kwong, C.-C. Jay Kuo:
A Survey on Perceptually Optimized Video Coding. - Kai-Chieh Hsu, Vicenc Rubies-Royo, Claire J. Tomlin, Jaime F. Fisac:
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. - Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann:
Run-of-Mine Stockyard Recovery Scheduling and Optimisation for Multiple Reclaimers. - Jianhua Mo, Daehee Park, Boon Loong Ng, Vutha Va, Anum Ali, Chonghwa Seo, Jianzhong Charlie Zhang:
Sub-Chain Beam for mmWave Devices: A Trade-off between Power Saving and Beam Correspondence. - Zibo Hu, Shurui Li, Russell L. T. Schwartz, Maria Solyanik-Gorgone, Mario Miscuglio, Puneet Gupta, Volker J. Sorger:
Batch Processing and Data Streaming Fourier-based Convolutional Neural Network Accelerator. - Arjun Sridharkumar, Sai Bhargav, Rahul Guntha:
Analysis of ECG data to detect Atrial Fibrillation. - Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan:
A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization. - Zhenguo Wu, Masashi Sugiyama:
Learning with Proper Partial Labels. - Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau:
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes. - Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu:
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art. - Ola N. Halawi, Faisal N. Abu-Khzam:
A Multi-Objective Degree-Based Network Anonymization Approach. - Jesse Milzman, Vince Lyzinski:
Signed and Unsigned Partial Information Decompositions of Continuous Network Interactions. - Michael Sun, Kaili Huang, Mehrad Moradshahi:
Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems. - Jonathan N. Lee, George Tucker, Ofir Nachum, Bo Dai:
Model Selection in Batch Policy Optimization. - Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, Fenglin Li:
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks. - Shaofu Xu, Jing Wang, Sicheng Yi, Weiwen Zou:
High-order tensor flow processing using integrated photonic circuits. - Bowen Yi, Chi Jin, Ian R. Manchester:
Globally convergent visual-feature range estimation with biased inertial measurements. - Zhengru Fang, Jingjing Wang, Yong Ren, Zhu Han, H. Vincent Poor, Lajos Hanzo:
Age of Information in Energy Harvesting Aided Massive Multiple Access Networks. - Josh Everts, Xuan Jiang:
Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments. - Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. - Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
More is Better: A Novel Multi-view Framework for Domain Generalization. - Sakina Fatima, Taher Ahmed Ghaleb, Lionel C. Briand:
Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests. - Eric Binnendyk, Marco Carmosino, Antonina Kolokolova, Ramyaa Ramyaa, Manuel Sabin:
Learning with distributional inverters. - Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim:
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses. - Hye-Jin Shim, Jungwoo Heo, Jae-Han Park, Ga-Hui Lee, Ha-Jin Yu:
Graph attentive feature aggregation for text-independent speaker verification. - Michael J. Byrne, Rosemary A. Renaut:
Learning multiple regularization parameters for generalized Tikhonov regularization using multiple data sets without true data. - Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu:
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? - Shuang Zhao, Shuhui Chen, Ziling Wei:
Statistical Feature-based Personal Information Detection in Mobile Network Traffic. - Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis. - Joachim Gudmundsson, Martin P. Seybold, Sampson Wong:
Approximating Multiplicatively Weighted Voronoi Diagrams: Efficient Construction with Linear Size. - Jongyun Choi, Hyesoo Kong, Hwamook Yoon, Heung-Seon Oh, Yuchul Jung:
LAME: Layout Aware Metadata Extraction Approach for Research Articles. - J. N. Mueller, Jem N. Corcoran:
A Random Point Initialization Approach to Image Segmentation with Variational Level-sets. - Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? - Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong:
Dual Path Structural Contrastive Embeddings for Learning Novel Objects. - Andrew Giuliani, Ann S. Almgren, John B. Bell, Marsha J. Berger, Marc T. Henry de Frahan, Deepak Rangarajan:
A Weighted State Redistribution Algorithm for Embedded Boundary Grids. - Leni Yang, Cindy Xiong, Jason K. Wong, Aoyu Wu, Huamin Qu:
Explaining with Examples: Lessons Learned from Crowdsourced Introductory Description of Information Visualizations. - Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu:
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. - Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu:
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. - Chentao Yue, Mahyar Shirvanimoghaddam, Alva Kosasih, Giyoon Park, Ok-Sun Park, Wibowo Hardjawana, Branka Vucetic, Yonghui Li:
Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA. - Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh:
DILF-EN framework for Class-Incremental Learning. - Mingming Fan, Xianyou Yang, Tsz Tung Yu, Vera Q. Liao, Jian Zhao:
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization. - Md Washik Al Azad, Spyridon Mastorakis:
Reservoir: Named Data for Pervasive Computation Reuse at the Network Edge. - Chen Liang, Chong Yang, Jing Xu, Juyang Huang, Yongliang Wang, Yang Dong:
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation. - Guangming Yao, Hongzhi Wu, Yi Yuan, Kun Zhou:
DD-NeRF: Double-Diffusion Neural Radiance Field as a Generalizable Implicit Body Representation. - Andrea Franceschini, Laura Gazzola, Massimiliano Ferronato:
A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures. - Rijnard van Tonder:
Towards Fully Declarative Program Analysis via Source Code Transformation. - Jelena Mladenovic, Jérémy Frey, Smeety Pramij, Jérémie Mattout, Fabien Lotte:
Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI. - Youngjo Lee, Hongje Seong, Euntai Kim:
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. - Andreea Glavan, Estefanía Talavera:
InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition. - Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri:
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy. - Saumya Bajpai, Deepjyoti Goswami, Kallol Ray:
Optimal Error Estimates of a Discontinuous Galerkin Method for the Navier-Stokes Equations. - Ali Heydari Gorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
In-storage Processing of I/O Intensive Applications on Computational Storage Drives. - Zhihao Ge, Jin'ge Pang, Jiwei Cao:
Multiphysics mixed finite element method with Nitsche's technique for Stokes poroelasticity problem. - Alexis de Colnet, Stefan Mengel:
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation. - Zhiwen Yan, Teck Khim Ng:
Adaptive Modeling Against Adversarial Attacks. - Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao:
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation. - Philip Buczak, Daniel Horn:
Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning. - Xin Tian, Xinxian Huang, Dongfeng He, Yingzhan Lin, Siqi Bao, Huang He, Liankai Huang, Qiang Ju, Xiyuan Zhang, Jian Xie, Shuqi Sun, Fan Wang, Hua Wu, Haifeng Wang:
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations. - Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi:
More Than Words: Towards Better Quality Interpretations of Text Classifiers. - Pierre Loidreau, Ba-Duc Pham:
An analysis of Coggia-Couvreur attack on Loidreau's rank-metric public key encryption scheme in the general case. - Bosco García-Archilla, Julia Novo:
Robust error bounds for the Navier-Stokes equations using implicit-explicit second order BDF method with variable steps. - Peter A. Gloor, Andrea Fronzetti Colladon, Erkin Altuntas, Cengiz Cetinkaya, Maximilian F. Kaiser, Lukas Ripperger, Tim Schaefer:
Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition. - Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers:
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. - Hrisav Bhowmick, Ananda Chatterjee, Jaydip Sen:
Comprehensive Movie Recommendation System. - Fabian Hart, Martin Waltz, Ostap Okhrin:
Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning. - Jingbo Zhao, Zhetao Wang, Yiqin Peng, Yaojun Wang:
Real-Time Generation of Leg Animation for Walking-in-Place Techniques. - Abdalla Elmokhtar Ahmed Elesawi, Kyeong Soo Kim:
Hierarchical Multi-Building And Multi-Floor Indoor Localization Based On Recurrent Neural Networks. - Jan Philipp Thiele, Thomas Wick:
Space-time error control using a partition-of-unity dual-weighted residual method applied to low mach number combustion. - Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu:
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. - Roya Paridar, Nader Mokari, Eduard A. Jorswieck, Mohammad Reza Javan:
On the Reception Process of Molecular Communication-Based Drug Delivery. - Quan Duong, Mika Hämäläinen, Khalid Alnajjar:
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language. - Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum Learning for Safe Mapless Navigation. - Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, R. Manmatha:
LaTr: Layout-Aware Transformer for Scene-Text VQA. - Kirill Ivanov, Rüdiger L. Urbanke:
Polar codes do not have many affine automorphisms. - Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai:
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition. - Catherine A. Haddad-Zaknoon:
Heuristic Random Designs for Exact Identification of Defectives Using Single Round Non-adaptive Group Testing and Compressed Sensing. - Runkun Lu, Jian-wei Liu, Xin Zuo:
Attentive Multi-View Deep Subspace Clustering Net. - Jean-Pierre Briot:
From Procedures, Objects, Actors, Components, Services, to Agents - A Comparative Analysis of the History and Evolution of Programming Abstractions. - Radoslaw Szostak, Marcin Pietron, Miroslaw Zimnoch, Przemyslaw Wachniew, Pawel Cwiakala, Edyta Puniach:
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models. - Toni Schneidereit, Michael Breuß:
Adaptive Neural Domain Refinement for Solving Time-Dependent Differential Equations. - Mostafa Kishani, Mehdi B. Tahoori, Hossein Asadi:
Dependability Analysis of Data Storage Systems in Presence of Soft Errors. - Changfeng Gao, Gaofeng Cheng, Yifan Guo, Qingwei Zhao, Pengyuan Zhang:
Data Augmentation based Consistency Contrastive Pre-training for Automatic Speech Recognition. - Laura Cartwright, Andrew Zammit-Mangion, Nicholas M. Deutscher:
Emulation of greenhouse-gas sensitivities using variational autoencoders. - Akihiro Yoshida, Haruki Sato, Shiori Uchiumi, Nariaki Tateiwa, Daisuke Kataoka, Akira Tanaka, Nozomi Hata, Yosuke Yatsushiro, Ayano Ide, Hiroki Ishikura, Shingo Egi, Miyu Fujii, Hiroki Kai, Katsuki Fujisawa:
Long-Term Optimal Delivery Planning for Replacing the Liquefied Petroleum Gas Cylinder. - Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan:
PyCIL: A Python Toolbox for Class-Incremental Learning. - Hamd ul Moqeet Riaz, Nuri Benbarka, Timon Höffer, Andreas Zell:
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks. - Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei:
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. - Dylan K. Goetting:
Newsvendor Model with Deep Reinforcement Learning. - Sandhya Aneja, Melanie Ang Xuan En, Nagender Aneja:
Collaborative adversary nodes learning on the logs of IoT devices in an IoT network. - Érick Oliveira Rodrigues:
Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier. - Brad Hunter:
Preprocessing in Inductive Logic Programming. - Jarle Sogn, Stefan Takacs:
Multigrid solvers for isogeometric discretizations of the second biharmonic problem. - Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh:
Integrating Material Selection with Design Optimization via Neural Networks. - Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang:
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation. - Mostafa Kishani, Saba Ahmadian, Hossein Asadi:
A Modeling Framework for Reliability of Erasure Codes in SSD Arrays. - Zuria Bauer, Zuoyue Li, Sergio Orts-Escolano, Miguel Cazorla, Marc Pollefeys, Martin R. Oswald:
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis. - Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Data-efficient learning for 3D mirror symmetry detection. - Spencer Smith, Jacques Carette:
Long-Term Productivity Based on Science, not Preference. - Faisal Shah Khan:
Calculating Nash equilibrium and Nash bargaining solution on quantum annealers. - Hamid Shiri, Hyowoon Seo, Jihong Park, Mehdi Bennis:
Attention Based Communication and Control for Multi-UAV Path Planning. - Moein Latifi, Fateme Golivand Darvishvand, Omid Khandel:
A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA. - Matthias Schlachter, Samuel Peters, Daniel Camenisch, Paul Martin Putora, Katja Bühler:
Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing. - Zohreh Aghababaeyan, Manel Abdellatif, Lionel C. Briand, Ramesh S., Mojtaba Bagherzadeh:
Black-Box Testing of Deep Neural Networks through Test Case Diversity. - Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatskiy, Konstantin Lipnikov, J. David Moulton:
Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh. - David Milec, Viliam Lisý:
Continual Depth-limited Responses for Computing Counter-strategies in Extensive-form Games. - Mubin Ul Haque, M. Mehdi Kholoosi, Muhammad Ali Babar:
KGSecConfig: A Knowledge Graph Based Approach for Secured Container Orchestrator Configuration. - Haomin Chen, Catalina Gomez, Chien-Ming Huang, Mathias Unberath:
INTRPRT: A Systematic Review of and Guidelines for Designing and Validating Transparent AI in Medical Image Analysis. - Mubin Ul Haque, Muhammad Ali Babar:
Well Begun is Half Done: An Empirical Study of Exploitability & Impact of Base-Image Vulnerabilities. - Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. - Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang, Yunlong Wang, Diange Yang:
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving. - Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador:
Towards Disturbance-Free Visual Mobile Manipulation. - Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock:
Manifold Learning Benefits GANs. - Sina Ober-Blöbaum, Christian Offen:
Variational integration of learned dynamical systems. - Sagar Saxena, Mohammad Nayeem Teli:
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey. - Mehdi Hassanpour, Marc Riera, Antonio González:
A Survey of Near-Data Processing Architectures for Neural Networks. - David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. - Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analysis. - Ghislain Fourny, David Dao, Can Berker Cikis, Ce Zhang, Gustavo Alonso:
RumbleML: program the lakehouse with JSONiq. - Gonzalo Nápoles, Fabian Hoitsma, Andreas Knoben, Agnieszka Jastrzebska, Maikel León Espinosa:
Prolog-based agnostic explanation module for structured pattern classification. - Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel, Mihai Dascalu, Traian Rebedea, Vasile Florian Pais, Dan Tufis:
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers. - Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? - Mohammad Farsi, Magnus Karlsson, Erik Agrell:
Capacity Bounds under Imperfect Polarization Tracking. - Alessandro Luppi, Andrea Bisoffi, Claudio De Persis, Pietro Tesi:
Data-driven design of safe control for polynomial systems. - Mostafa Kishani, Amirali Baniasadi, Hossein Pedram:
Using Silent Writes in Low-Power Traffic-Aware ECC. - Lei Wang, Jun Liu, Piotr Koniusz:
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve. - Laura Iacovissi, Caterina De Bacco:
The interplay between ranking and communities in networks. - Francesco Moramarco, Damir Juric, Aleksandar Savkov, Jack Flann, Maria Lehl, Kristian Boda, Tessa Grafen, Vitalii Zhelezniak, Sunir Gohil, Alex Papadopoulos-Korfiatis, Nils Hammerla:
Towards more patient friendly clinical notes through language models and ontologies. - Amihood Amir, Itai Boneh:
Dynamic Suffix Array with Sub-linear update time and Poly-logarithmic Lookup Time. - Miguel Marques, Ilia Kuzmin, João Barreto, José Monteiro, Rodrigo Rodrigues:
Dynamic Page Placement on Real Persistent Memory Systems. - Arifa Hoque, Alex K. Jones, Sanjukta Bhanja:
XDWM: A 2D Domain Wall Memory. - Zak Cutner, Nobuko Yoshida, Martin Vassor:
Deadlock-free asynchronous message reordering in Rust with multiparty session types. - Gaia Pavoni, Massimiliano Corsini, Federico Ponchio, Alessandro Muntoni, Paolo Cignoni:
TagLab: A human-centric AI system for interactive semantic segmentation. - Alejandro H. Toselli, Si Wu, David A. Smith:
Digital Editions as Distant Supervision for Layout Analysis of Printed Books. - Lars Gottesbüren, Michael Hamann:
Deterministic Parallel Hypergraph Partitioning. - Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang:
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. - Srinivas Anumasa, P. K. Srijith:
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. - Ali Salamati, Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Data-driven Safety Verification of Stochastic Systems via Barrier Certificates. - Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa:
Modeling Implicit Bias with Fuzzy Cognitive Maps. - Johannes Kromer, Fabio Leotta, Dieter Bothe:
Second-order accurate normal reconstruction from volume fractions on unstructured meshes with arbitrary polyhedral cells. - Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro:
Forward Composition Propagation for Explainable Neural Reasoning. - Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten:
EIFFeL: Ensuring Integrity for Federated Learning. - Srinivas Anumasa, P. K. Srijith:
Latent Time Neural Ordinary Differential Equations. - Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang:
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. - Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff G. Schneider, Howie Choset:
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling. - Jaroslaw Kwiecien, Jerzy Marcinkowski, Piotr Ostropolski-Nalewaja:
Determinacy of Real Conjunctive Queries. The Boolean Case. - Rafael Pedro, Arlindo L. Oliveira:
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions. - Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision meets Language-Image Pre-training. - Ronald J. Brachman, Hector J. Levesque:
Toward a New Science of Common Sense. - Mario Gleirscher, Jaco van de Pol, Jim Woodcock:
A Manifesto for Applicable Formal Methods. - Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. - Bikram Pratim Bhuyan, Ravi Tomar, Maanak Gupta, Amar Ramdane-Cherif:
An Ontological Knowledge Representation for Smart Agriculture. - Gizem Gezici:
Customising Ranking Models for Enterprise Search on Bilingual Click-Through Dataset. - Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie:
Cross Modal Retrieval with Querybank Normalisation. - Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. - Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney:
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. - Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin:
ELSA: Enhanced Local Self-Attention for Vision Transformer. - Giampaolo Bella:
Out to Explore the Cybersecurity Planet. - Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo:
Understanding and Measuring Robustness of Multimodal Learning. - Songtao Peng, Jiaqi Nie, Xincheng Shu, Zhongyuan Ruan, Lei Wang, Yunxuan Sheng, Qi Xuan:
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network. - Gizem Gezici:
Biased or Not?: The Story of Two Search Engines. - Dechao Li, Qiannan Guo:
MISO hierarchical inference engine with fuzzy implication satisfying I(A(x, y), z) = I(x, I(y, z)). - Maunika Tamire, Srinivas Anumasa, P. K. Srijith:
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. - Nimet Kaygusuz, Oscar Mendez Maldonado, Richard Bowden:
MDN-VO: Estimating Visual Odometry with Confidence. - Nimet Kaygusuz, Oscar Mendez, Richard Bowden:
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation. - Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. - Roberto Bagnara, Abramo Bagnara, Patricia M. Hill:
A Rationale-Based Classification of MISRA C Guidelines. - Martina Bukac, Boris Muha:
Analysis of the diffuse interface method for the Stokes-Darcy coupled problem. - Matej Grcic, Petra Bevandic, Zoran Kalafatic, Sinisa Segvic:
Dense anomaly detection by robust learning on synthetic negative data. - Georgios Liargkovas, Angeliki Papadopoulou, Zoe Kotti, Diomidis Spinellis:
Software Engineering Education Knowledge Versus Industrial Needs. - Ahsan Javed Awan, Fidan Aliyeva:
Hardware Support for FPGA Resource Elasticity. - Ling Wu, Ludovic Noels:
Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step. - Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante:
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. - Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks. - Robert Podschwadt, Daniel Takabi, Peizhao Hu:
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption. - Sourav Sinha, Devaprakash Muniraj, Mazen Farhood:
LFT Representation of a Class of Nonlinear Systems: A Data-Driven Approach. - Eduard Gabriel Bazavan, Andrei Zanfir, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
HSPACE: Synthetic Parametric Humans Animated in Complex Environments. - Juan José González-Abril, Germán Vidal:
A Lightweight Approach to Computing Message Races with an Application to Causal-Consistent Reversible Debugging. - Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. - Irem Ergün, Hasin Us Sami, Basak Guler:
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning. - Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong:
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. - Liangkun Yu, Xiang Sun, Sihua Shao, Yougan Chen, Rana Albelaihi:
Backhaul-Aware Drone Base Station Placement and Resource Management for FSO based Drone Assisted Mobile Networks. - Yi-Chi Liao, Kashyap Todi, Aditya Acharya, Antti Keurulainen, Andrew Howes, Antti Oulasvirta:
Rediscovering Affordance: A Reinforcement Learning Perspective. - Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu:
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. - Mostafa Rezapour, Colin A. Varady:
A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility. - Koki Hamada, Dai Ikarashi, Ryo Kikuchi, Koji Chida:
Efficient decision tree training with new data structure for secure multi-party computation. - Ziyu Li, Fangyang Ye, Xinran Guan:
3D Point Cloud Reconstruction and SLAM as an Input. - Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis:
Cluster-guided Image Synthesis with Unconditional Models. - Muhammad Marwan Muhammad Fuad:
TSAX is Trending. - Anna Wróblewska, Pawel Rzepinski, Sylwia Sysko-Romanczuk:
Spoiler in a Textstack: How Much Can Transformers Help? - Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du:
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. - Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang:
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation. - C. J. Argue, Anupam Gupta, Marco Molinaro, Sahil Singla:
Robust Secretary and Prophet Algorithms for Packing Integer Programs. - Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo:
The Serverless Computing Survey: A Technical Primer for Design Architecture. - Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng:
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective. - Yuyu Luo, Jiawei Tang, Guoliang Li:
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task. - Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Jingyan Qin, Xu-Cheng Yin:
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification. - Ang Jia, Ming Fan, Wuxia Jin, Xi Xu, Ting Liu:
One-to-One or One-to-many? What function inlining brings to binary2source similarity analysis. - Francisco Y. Cai, Chengsheng Mao, Yuan Luo:
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer. - Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramèr, Nicholas Carlini:
Counterfactual Memorization in Neural Language Models. - Xi Mo, Xiangyu Chen:
Realtime Global Attention Network for Semantic Segmentation. - Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim:
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. - Hanyang Lin, Xinwei Shen, Qinglai Guo, Hongbin Sun:
Accuracy and Application Scope Analysis for Linearized Branch Flow Model in Radial Distribution Systems. - Vinay Kumar Chapala, Syed Mohammad Zafaruddin:
RIS-Assisted Multihop FSO/RF Hybrid System for Vehicular Communications over Generalized Fading. - Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli:
Redy: Remote Dynamic Memory Cache. - Zhihao Ge, Wenlong He:
Error Estimates of a Fully Discrete Multiphysics Finite Element Method for a Nonlinear Poroelasticity Model. - Loris Nanni, Daniela Cuza, Alessandra Lumini, Andrea Loreggia, Sheryl Brahnam:
Deep ensembles in bioimage segmentation. - Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh:
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. - Manmeet Singh, Bipin Kumar, Rajib Chattopadhyay, K. Amarjyothi, Anup K. Sutar, Sukanta Roy, A. Suryachandra Rao, Ravi S. Nanjundiah:
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia. - Rongjie Li, Songyang Zhang, Xuming He:
SGTR: End-to-end Scene Graph Generation with Transformer. - Fadil Habibi Danufane, Marco Di Renzo:
Analysis of the Delay Distribution in Cellular Networks by Using Stochastic Geometry. - Yunfeng Kong:
A matheuristic algorithm for the single-source capacitated facility location problem and its variants. - Shahid Ali Murtza, Waqar Ahmed, Adnan Rashid, Osman Hasan:
Towards the Formal Performance Analysis of Multistate Coherent Systems using HOL Theorem Proving. - Hao Tu, Scott J. Moura, Yebin Wang, Huazhen Fang:
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. - David Bertoin, Emmanuel Rachelson:
Disentanglement by Cyclic Reconstruction. - David Nizard, Nicolas Dupin, Dominique Quadri:
An exact dynamic programming algorithm, lower and upper bounds, applied to the large block sale problem. - Mian Guo, Kai Zhong, Xiaozhi Wang:
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects. - Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman:
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. - Ke Alexander Wang, Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto:
Is Importance Weighting Incompatible with Interpolating Classifiers? - Sucheng Qian, Liu Liu, Wenqiang Xu, Cewu Lu:
iSeg3D: An Interactive 3D Shape Segmentation Tool. - Kai Yi, Mohamed Elhoseiny:
Domain-Aware Continual Zero-Shot Learning. - Joseph N. Stember, Hrithwik Shalu:
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification. - Xuanyu Shi, Jian Du:
Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences. - Ismat Jarin, Birhanu Eshete:
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning. - Santiago Sanchez-Escalonilla, Rodolfo Reyes-Báez, Bayu Jayawardhana:
Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control. - Arbish Akram, Nazar Khan:
US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis. - Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. - Jinwuk Seok, Jeong-Si Kim:
Stochastic Learning Equation using Monotone Increasing Resolution of Quantization. - Seyed Ali Tabatabaee, Charlene Nicer, Ivan Beschastnikh, Chen Feng:
One Bad Apple Spoils the Bunch: Transaction DoS in MimbleWimble Blockchains. - Mangqing Guo, Mustafa Cenk Gursoy:
Joint Activity Detection and Channel Estimation in Cell-Free Massive MIMO Networks with Massive Connectivity. - David Charatan, Hongyi Fan, Benjamin B. Kimia:
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD). - Thom S. Badings, Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
Scenario-Based Verification of Uncertain Parametric MDPs. - Mangqing Guo, Mustafa Cenk Gursoy:
Gibbs Distribution Based Antenna Splitting and User Scheduling in Full Duplex Massive MIMO Systems. - Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal:
DARTS without a Validation Set: Optimizing the Marginal Likelihood. - Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong:
Gaussian Process Bandits with Aggregated Feedback. - Nivedita Rufus, Kanishk Jain, Unni Krishnan R. Nair, Vineet Gandhi, K. Madhava Krishna:
Grounding Linguistic Commands to Navigable Regions. - Anish Gupta, Unni Krishnan R. Nair, P. S. Naga Jyotish, Arun Kumar Singh, K. Madhava Krishna:
Non Holonomic Collision Avoidance of Dynamic Obstacles underNon-Parametric Uncertainty: A Hilbert Space Approach. - Saveliy V. Skresanov:
The probabilistic Weisfeiler-Leman algorithm. - Jiaxing Yan, Hong Zhao, Penghui Bu, Yusheng Jin:
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation. - K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. - Zhi-yan Song, Jianwei Liu, Lu-ning Zhang, Ya-nan Han:
Tri-Transformer Hawkes Process: Three Heads are better than one. - (Withdrawn) NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks.
- (Withdrawn) CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing.
- Hisham A. Kholidy:
A Triangular Fuzzy based Multicriteria Decision Making Approach for Assessing Security Risks in 5G Networks. - Jayoung Lee, Pengcheng Wang, Ran Xu, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Virtuoso: Video-based Intelligence for real-time tuning on SOCs. - Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. - Giovanni Piccioli, Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová:
Aligning random graphs with a sub-tree similarity message-passing algorithm. - Jiahe Fan, Mohammud Junaid Bocus, Brett Hosking, Rigen Wu, Yanan Liu, Sergey Vityazev, Rui Fan:
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection. - Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng:
SimViT: Exploring a Simple Vision Transformer with sliding windows. - Hélène de Ribaupierre, Anne-Françoise Cutting-Decelle, Nathalie Baumier, Serge Blumental:
Automatic extraction of requirements expressed in industrial standards : a way towards machine readable standards ? - Bahador Bakhshi, Josep Mangues-Bafalluy, Jorge Baranda:
Multi-Provider NFV Network Service Delegation via Average Reward Reinforcement Learning. - Haoyu Zhao, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
Faster Rates for Compressed Federated Learning with Client-Variance Reduction. - Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani:
Fine-Tuning Data Structures for Analytical Query Processing. - Emir Dervisevic, Miralem Mehic:
Overview of Quantum Key Distribution Technique within IPsec Architecture. - Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo:
Invertible Network for Unpaired Low-light Image Enhancement. - Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A Survey on Interpretable Reinforcement Learning. - (Withdrawn) The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence.
- Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo:
Does MAML Only Work via Feature Re-use? A Data Centric Perspective. - Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster:
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. - Zhaiyu Chen, Seyran Khademi, Hugo Ledoux, Liangliang Nan:
Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields. - Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu:
A Neural Framework for Learning Subgraph and Graph Similarity Measures. - Robert Chang, Logan Kuo, Arthur Liu, Nader Sehatbakhsh:
SoK: A Study of the Security on Voice Processing Systems. - Cesar Carranza, Daniel Llamocca, Marios Pattichis:
Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform. - Cesar Carranza, Daniel Llamocca, Marios Pattichis:
Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures. - Yuang Li, Yuntao Wang, Xin Liu, Yuanchun Shi, Shao-fu Shih:
Enabling Real-time On-chip Audio Super Resolution for Bone Conduction Microphones. - Melvin Galicia, Farhad Merchant, Rainer Leupers:
A Parallel SystemC Virtual Platform for Neuromorphic Architectures. - Tooba Faisal, Mischa Dohler, Simone Mangiante, Diego R. López:
BEAT: Blockchain-Enabled Accountable Infrastructure Sharing in 6G and Beyond. - Behnam Ghavami, Seyd Movi, Zhenman Fang, Lesley Shannon:
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping. - Wenchi Ma, Xuemin Tu, Bo Luo, Guanghui Wang:
Semantic Clustering based Deduction Learning for Image Recognition and Classification. - Osman Boyaci, Mohammad Rasoul Narimani, Katherine R. Davis, Erchin Serpedin:
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks. - Charbel Toumieh, Alain Lambert:
GPU Accelerated Voxel Grid Generation for Fast MAV Exploration. - Yongxin Dong, Yuehua Feng, Jianxin You:
On computing HITS ExpertRank via lumping the hub matrix. - Lu Xing, Eric Lee, Tong An, Bo-Cheng Chu, Ahmed Mahmood, Ahmed M. Aly, Jianguo Wang, Walid G. Aref:
An Experimental Evaluation and Investigation of Waves of Misery in R-trees. - Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen:
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. - Hector Zenil, Alyssa M. Adams:
Algorithmic Information Dynamics of Cellular Automata. - Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. - Defeng Xie, Jianmin Ji, Jiafei Xu, Ran Ji:
Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing. - Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu, Himanshu Gupta:
DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation. - Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li:
DBC-Forest: Deep forest with binning confidence screening. - Zhiyong Zheng, Fengxia Liu, Yunfan Lu, Kun Tian:
Cyclic Lattices, Ideal Lattices and Bounds for the Smoothing Parameter. - Hyungyu Ju, Seungnyun Kim, Youngjoon Kim, Byonghyo Shim:
Energy-Efficient Ultra-Dense Network with Deep Reinforcement Learning. - Hongyi Qian, Shen Zhang, Baohui Wang, Lei Peng, Songfeng Gao, You Song:
A comparative study on machine learning models combining with outlier detection and balanced sampling methods for credit scoring. - Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang:
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. - Azzam Alfarraj, Guo-Wei Wei:
Geometric algebra generation of molecular surfaces. - Bogang Lin:
New Computing Model of GNeTM Turing Machine On Solving Even Goldbach Conjecture. - Aftab Hussain, Mohammad Amin Alipour:
FMViz: Visualizing Tests Generated by AFL at the Byte-level. - Hiroaki Kingetsu, Kenichi Kobayashi, Taiji Suzuki:
Neural Network Module Decomposition and Recomposition. - Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen:
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. - Hamed Hemati, Marco Schreyer, Damian Borth:
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. - Dror G. Feitelson:
"We do not appreciate being experimented on": Developer and Researcher Views on the Ethics of Experiments on Open-Source Projects. - Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu:
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping. - Yusheng Wang, Weiwei Song, Yidong Lou, Fei Huang, Zhiyong Tu, Shimin Zhang:
Simultaneous Location of Rail Vehicles and Mapping of Environment with Multiple LiDARs. - Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng:
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. - Ferhat Demirkiran, Aykut Çayir, Ugur Ünal, Hasan Dag:
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification. - Nithish Kannen, Divyanshu Sheth, Abhranil Chandra, Shubhraneel Pal:
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction. - Naghme Jamali, Yadollah Yaghoobzadeh, Hesham Faili:
PerCQA: Persian Community Question Answering Dataset. - Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli Suzi Wedemann:
A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing. - Lana Sinapayen, Eiji Watanabe:
Evolutionary Generation of Visual Motion Illusions. - Yongxin Guo, Tao Lin, Xiaoying Tang:
Towards Federated Learning on Time-Evolving Heterogeneous Data. - Dmitry Bagaev, Bert de Vries:
Reactive Message Passing for Scalable Bayesian Inference. - Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li:
On Dynamic Pricing with Covariates. - Hasham Ul Haq, Veysel Kocaman, David Talby:
Deeper Clinical Document Understanding Using Relation Extraction. - Tao Jiang, Wei Yu:
Interference Nulling Using Reconfigurable Intelligent Surface. - Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. - Armin Eftekhari:
Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points. - Wanxin Jin, Alp Aydinoglu, Mathew Halm, Michael Posa:
Learning Linear Complementarity Systems. - Vadim Arzamasov, Benjamin Jochum, Klemens Böhm:
Pedagogical Rule Extraction for Learning Interpretable Models. - Dilek Küçük:
Stance Quantification: Definition of the Problem. - Gianmarco Manzini, Annamaria Mazzia:
A virtual element generalization on polygonal meshes of the Scott-Vogelius finite element method for the 2-D Stokes problem. - Paola Francesca Antonietti, Gianmarco Manzini, Simone Scacchi, Marco Verani:
On arbitrarily regular conforming virtual element methods for elliptic partial differential equations. - Aftab Hussain, Mohammad Amin Alipour:
DIAR: Removing Uninteresting Bytes from Seeds in Software Fuzzing. - Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik:
Defending Against Membership Inference Attacks on Beacon Services. - Nattaporn Chuenjarern, Kanognudge Wuttanachamsri, Yang Yang:
Stability analysis and error estimates of local discontinuous Galerkin method for convection-diffusion equations on overlapping mesh with non-periodic boundary conditions. - Wenhao Zhu, Ziyao Li, Lingsheng Cai, Guojie Song:
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference. - Luming Wang, Xu Zhang, Tianyue Lu, Mingyu Chen:
Asynchronous Memory Access Unit for General Purpose Processors. - Wenjing Gao, Minxian Li:
Unsupervised Clustering Active Learning for Person Re-identification. - Wenchi Ma, Tianxiao Zhang, Guanghui Wang:
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence. - Deyue Zhang, Yue Wu, Yinglin Wang, Yukun Guo:
A direct imaging method for the exterior and interior inverse scattering problems. - Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol:
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. - Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. - Akshay Parekh, Ashish Anand, Amit Awekar:
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. - Anna Abalkina:
Publication and collaboration anomalies in academic papers originating from a paper mill: evidence from Russia. - Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park:
Airphant: Cloud-oriented Document Indexing. - Jorge Sueiras:
Continuous Offline Handwriting Recognition using Deep Learning Models. - Ajith Suresh:
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning. - Baofeng Wu:
Proof of a conjecture on a special class of matrices over commutative rings of characteristic 2. - An Dinh Le, Duy A. Pham, Dong T. Pham, Hien B. Vo:
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform. - Ismail Shahin, Noor Ahmad Al Hindawi, Ali Bou Nassif, Adi Alhudhaif, Kemal Polat:
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition. - Timo Spinde:
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles. - Ismail Shahin, Ali Bou Nassif, Nawel Nemmour, Ashraf Elnagar, Adi Alhudhaif, Kemal Polat:
Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments. - Xiaoyang Zhao, Chuan Wu:
Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph Reinforcement Learning. - Xingqi Wang, Chaoyang Jiang, Shuxuan Sheng, Yanjie Xu, Yifei Jia:
Stop Line Aided Cooperative Positioning of Connected Vehicles. - Ankush Chopra, Mahima Arora, Shubham Pandey:
Delivery Issues Identification from Customer Feedback Data. - Yue Yu:
A lowest-order locking-free nonconforming virtual element method based on the reduced integration technique for linear elasticity problems. - Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. - Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee:
Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges. - Pablo R. Baldivieso Monasterios, Mahdieh Sadat Sadabadi, George C. Konstantopoulos:
Two-layer nonlinear control of DC-DC buck converters with meshed network topology. - Sultan Javed Majeed, Marcus Hutter:
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions. - Joseph Y. Halpern, Arnon Lotem:
The brain as a probabilistic transducer: an evolutionarily plausible network architecture for knowledge representation, computation, and behavior. - Yifei Zhao, Mingdong Ou, Rongzhi Zhang, Meng Li:
Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph. - Wangxi Duan, Paolo Piersanti, Xiaoqin Shen, Qian Yang:
Numerical validation of Koiter's model for all the main types of linearly elastic shells in the static case. - Yifan Zhang, Jiangbin Lyu, Liqun Fu:
Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind. - Mason DiCicco, Daniel Reichman:
The Sketching and Communication Complexity of Subsequence Detection. - Sultan Javed Majeed:
Abstractions of General Reinforcement Learning. - Chengjun Tang, Kun Zhang, Chunfang Xing, Yong Ding, Zengmin Xu:
Perlin Noise Improve Adversarial Robustness. - Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Generative Kernel Continual learning. - Shana Moothedath, Namrata Vaswani:
Fully Decentralized and Federated Low Rank Compressive Sensing. - Anthony Coache, Sebastian Jaimungal:
Reinforcement Learning with Dynamic Convex Risk Measures. - Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan:
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. - Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu:
Neuro-Symbolic Hierarchical Rule Induction. - Eduardo Camps, Hiram H. López, Gretchen L. Matthews:
Explicit non-special divisors of small degree and LCD codes from Kummer extensions. - Jiawei Wang, Hai Zhao:
ArT: All-round Thinker for Unsupervised Commonsense Question-Answering. - Abbas Saleminezhadl, Manuel Remmele, Ravikumar Chaudhari, Rasha Kashef:
IoT Analytics and Blockchain. - Suchismit Mahapatra, Vladimir Blagojevic, Pablo Bertorello, Prasanna Kumar:
New Methods & Metrics for LFQA tasks. - Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani, Amin Ramezani:
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction. - Dominik Bojko, Karol Gotfryd, Dariusz R. Kowalski, Dominik Pajak:
Tree exploration in dual-memory model. - Jayesh Kumpawat, Shubhajit Dey:
Acoustic scene classification using auditory datasets. - Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar:
A Linear-Time Algorithm for Steady-State Analysis of Electromigration in General Interconnects. - Mohammad Javad Khodaei, Amin Mehrvarz, Reza Ghaffarivardavagh, Nader Jalili:
Retrieving Effective Acoustic Impedance and Refractive Index for Size Mismatch Samples. - Bushra Sadia, Ayberk Sadic, Mehmet Ayyildiz, Cagatay Basdogan:
Exploration Strategies for Tactile Graphics Displayed by Electrovibration on a Touchscreen. - Luis Sanchez Tapia, Antonio Gomez, Mario Esparza, Venkatesh Jatla, Marios Pattichis, Sylvia Celedón-Pattichis, Carlos LopezLeiva:
Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data. - Vishal Anand, Yuki Miura:
PreDisM: Pre-Disaster Modelling With CNN Ensembles for At-Risk Communities. - Issar Arab, Khaled H. Barakat:
ToxTree: descriptor-based machine learning models for both hERG and Nav1.5 cardiotoxicity liability predictions. - Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. - João Leite, Martin Slota:
A Brief History of Updates of Answer-Set Programs. - Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. - (Withdrawn) An efficient mining scheme for high utility itemsets.
- Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin:
The Statistical Complexity of Interactive Decision Making. - Djoko Suprijanto, Hopein Christofen Tang:
Quantum codes constructed from cyclic codes over the ring Fq+vFq+v2Fq+v3Fq+v4Fq. - Hong-Bo Xu, Rong Wang, Jia Wei, Shao-Ping Lu:
A Compact Neural Network-based Algorithm for Robust Image Watermarking. - Seung Hoon Lee, Seunghyun Lee, Byung Cheol Song:
Vision Transformer for Small-Size Datasets. - Hai-Han Sun, Yee Hui Lee, Qiqi Dai, Chongyi Li, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel:
Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network. - Peter Devine, Yun Sing Koh, Kelly Blincoe:
Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata. - Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep Treatment-Adaptive Network for Causal Inference. - Mohamed A. Serry, Jun Liu:
Under-Approximate Reachability Analysis for a Class of Linear Uncertain Systems. - Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. - Mengjian Zhang, Guihua Wen, Jing Yang:
Duck swarm algorithm: a novel swarm intelligence algorithm. - Yiqing Ma, Hao Wang, Yiming Zhang, Kai Chen:
Automatic Configuration for Optimal Communication Scheduling in DNN Training. - Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Team Robocon, I. I. T. Roorkee:
Bhavya Giri Goswami, Aman Verma, Gautam Jha, Vandan Gajjar, Vedant Neekhra, Utkarsh Deepak, Aayush Singh Chauhan: Design, Manufacturing, and Controls of a Prismatic Quadruped Robot: PRISMA. - Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen:
Event-based clinical findings extraction from radiology reports with pre-trained language model. - Inderjeet Singh, Nandyala Hemachandra:
Anomaly Detection using Capsule Networks for High-dimensional Datasets. - Hyunjun Lim, Jinwoo Jeon, Hyun Myung:
UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping. - Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan:
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? - Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. - Nathaniel Virgo, Martin Biehl, Simon McGregor:
Interpreting Dynamical Systems as Bayesian Reasoners. - Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. - Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang:
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. - Wooju Lee, Hyun Myung:
Adversarial Attack for Asynchronous Event-based Data. - Zu-Yun Shiau, Wei-Wei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. - Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. - Qian Liu, Yongpeng Li, Zhihang Wang:
Image Edge Restoring Filter. - Shayan Aziznejad, Thomas Debarre, Michael Unser:
Sparsest Univariate Learning Models Under Lipschitz Constraint. - Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon:
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions. - Xian Wei, Bin Wang, Mingsong Chen, Ji Yuan, Hai Lan, Jiehuang Shi, Xuan Tang, Bo Jin, Guozhang Chen, Dongping Yang:
ViR: the Vision Reservoir. - Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. - Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Responsive Listening Head Generation: A Benchmark Dataset and Baseline. - Xian Wei, Yanhui Huang, Yangyu Xu, Mingsong Chen, Hai Lan, Yuanxiang Li, Zhongfeng Wang, Xuan Tang:
Learning Robust and Lightweight Model through Separable Structured Transformations. - Pengcheng An, Ziqi Zhou, Qing Liu, Yifei Yin, Linghao Du, Da-Yuan Huang, Jian Zhao:
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication. - Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. - Faiq Miftakhul Falakh, Sebastian Rudolph, Kai Sauerwald:
Semantic Characterizations of General Belief Base Revision. - Gurmu Meseret Debele, Wenfeng Hu, Zhiyong Chen:
A Survey of Event-triggered Control for Nonlinear Multiagent Systems with Guaranteed Steady-State Performance. - Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. - Hai Su, Meiyin Han, Junle Liang, Jun Liang, Songsen Yu:
Hard Example Guided Hashing for Image Retrieval. - Omid Rezaei, Maryam Masjedi, Mohammad Mahdi Naghsh:
Throughput Maximization for Multi-Cluster WPCN: User Cooperation, Non-linearity, and Channel Uncertainty. - Lintao Chen:
Chinese Learners' Phonetic Transfer of /i/ from Mandarin Chinese to General American English: Evidence from Perception and Production Experiments. - Chandrakant Bothe:
Polite Emotional Dialogue Acts for Conversational Analysis in Daily Dialog Data. - Kathleen Pele, Jean Baccou, Loïc Daridon, Jacques Liandrat, Thibaut Le Gouic, Yann Monerie, Frédéric Perales:
A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials. - Lu-ning Zhang, Jianwei Liu, Xin Zuo:
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity. - Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. - Lanning Wei, Huan Zhao, Zhiqiang He:
Learn Layer-wise Connections in Graph Neural Networks. - Demelash Abiye Deguale:
Survey on Stabilization of Nonlinear Systems via state/output feedback control. - Shunpei Terakawa, Takaharu Yaguchi:
Symplecticity of coupled Hamiltonian systems. - Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu:
Multimodal Image Synthesis and Editing: A Survey. - Shwai He, Shi Gu:
Multi-modal Attention Network for Stock Movements Prediction. - Asaf Cohen, Neri Merhav:
Universal Randomized Guessing Subjected to Distortion. - Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan:
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling. - Javeria Noor:
Smart Grid Architecture with High Proportion of Energy Utilization. - Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. - Jiankang Shi, Minghua Chen, Yubin Yan, Jianxiong Cao:
Correction of high-order Lk approximation for subdiffusion. - Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. - Minghua Chen, Fan Yu, Qingdong Zhang, Zhimin Zhang:
Weighted and shifted BDF3 methods on variable grids for a parabolic problem. - Qingguo Hong, Johannes K. Kraus, Miroslav Kuchta, Maria Lymbery, Kent-André Mardal, Marie E. Rognes:
Robust approximation of generalized Biot-Brinkman problems. - Qian Wang, Jiajun Zhang:
Parameter Differentiation based Multilingual Neural Machine Translation. - Angelo Ferrando, Vadim Malvone:
Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information. - Rahmat Faddli Siregar, Nandana Rajatheva, Matti Latva-aho:
Permutation Matrix Modulation. - Andreas Chandra, Affandy Fahrizain, Ibrahim, Simon Willyanto Laufried:
A Survey on non-English Question Answering Dataset. - Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He:
AdaptivePose: Human Parts as Adaptive Points. - Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
A Framework for Efficient Memory Utilization in Online Conformance Checking. - Jinhong Lin, Zhaoyang Li:
Extracting knowledge from features with multilevel abstraction. - Snehanshu Banerjee, Mansoureh Jeihani:
Forward Collision Warning Systems: Validating Driving Simulator Results with Field Data. - Daofei Li, Ao Liu:
Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach. - Borun Xu, Biao Wang, Jiale Tao, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan:
Move As You Like: Image Animation in E-Commerce Scenario. - Ehud Shapiro:
Multiagent Transition Systems: Protocol-Stack Mathematics for Distributed Computing. - Jie Yin, Ang Li, Tao Li, Wenxian Yu, Danping Zou:
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots. - Michael Sun, Robert Tan:
Alpha-Mini: Minichess Agent with Deep Reinforcement Learning. - Peter T. Breuer:
An Obfuscating C Compiler for Encrypted Computing. - Javeria Noor:
A Review on Controllability of Multi-Agent Systems using Switched Network. - Ashok K. Goel, Harshvardhan Sikka, Eric Gregori:
Agent Smith: Teaching Question Answering to Jill Watson. - Antoine Zambelli:
Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning. - Vasudharini Sridharan, Mingjian Tuo, Xingpeng Li:
Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model. - Henrique P. Silva, Arthur D. Reys, Daniel de Souza Severo, Dominique H. Ruther, Flávio A. O. B. Silva, Maria C. S. S. Guimarães, Roberto Z. A. Pinto, Saulo D. S. Pedro, Túlio P. Navarro, Danilo Silva:
Predição de Incidência de Lesão por Pressão em Pacientes de UTI usando Aprendizado de Máquina. - Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Piotr Bojanowski, Armand Joulin, Gabriel Synnaeve, Hervé Jégou:
Augmenting Convolutional networks with attention-based aggregation. - Guotao Wang, Chenglizhao Chen, Deng-Ping Fan, Aimin Hao, Hong Qin:
Weakly Supervised Visual-Auditory Saliency Detection with Multigranularity Perception. - Behnam Hashemi, Yuji Nakatsukasa, Lloyd N. Trefethen:
Rectangular eigenvalue problems. - Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang:
Graph Collaborative Reasoning. - Harsh Raj, Janhavi Dadhania, Akhilesh Bhardwaj:
Multi-Image Visual Question Answering. - Farah Ibelaiden, Slimane Larabi:
Visual Place Representation and Recognition from Depth Images. - Qi Feng, Kun He, He Wen, Cem Keskin, Yuting Ye:
Active Learning with Pseudo-Labels for Multi-View 3D Pose Estimation. - Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu:
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos. - Shaull Almagor, Asaf Yeshurun:
Determinization of One-Counter Nets. - Georgy Savidov, Andrey Fedotov:
Casr-Cluster: Crash Clustering for Linux Applications. - Clauson Carvalho da Silva, Christian Lessig:
Variational symplectic diagonally implicit Runge-Kutta methods for isospectral systems. - Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Paulo Lilles Drews Jr.:
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. - Shuyang Ling:
Near-Optimal Bounds for Generalized Orthogonal Procrustes Problem via Generalized Power Method. - Yingdong Hu:
A Multi-channel Training Method Boost the Performance. - Enoch Tetteh, Joseph D. Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen:
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models. - Cristian Riveros, Jorge Salas, Oskar Skibski:
How to choose the root: centrality measures over tree structures. - Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. - Fanyi Yang, Xiaoping Xie:
An unfitted finite element method by direct extension for elliptic problems on domains with curved boundaries and interfaces. - Vahid Zarrabi, Salar Mohtaj, Habibollah Asghari:
Hamtajoo: A Persian Plagiarism Checker for Academic Manuscripts. - Mart Kartasev, Justin Saler, Petter Ögren:
Improving the Performance of Backward Chained Behavior Trees using Reinforcement Learning. - Ana Sokolova:
Proceedings 37th Conference on Mathematical Foundations of Programming Semantics, MFPS 2021, Hybrid: Salzburg, Austria and Online, 30th August - 2nd September, 2021. EPTCS 351, 2021 [contents] - Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao:
SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction. - Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee:
Differentially-Private Sublinear-Time Clustering. - Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao:
Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. - Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam, Filip Jankovic, Luca Foschini:
Self-supervision of wearable sensors time-series data for influenza detection. - Markus Kreuzthaler, Stefan Schulz:
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. - Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. - Fariha Tabassum Islam, Tanzima Hashem, Rifat Shahriyar:
A Crowd-enabled Solution for Privacy-Preserving and Personalized Safe Route Planning for Fixed or Flexible Destinations (Full Version). - Lasse Emil R. Bonner, Daniel Daugaard Buhl, Kristian Kristensen, Nicolás Navarro-Guerrero:
AU Dataset for Visuo-Haptic Object Recognition for Robots. - John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. - Jiahuan Pei, Cheng Wang, György Szarvas:
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. - David Bernhard Steffelbauer, E. J. M. Blokker, Steven G. Buchberger, Arno J. Knobbe, Edo Abraham:
Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data. - Akif Khan, Murugesan Venkatapathi:
Approximations for modeling light scattering by spheres with uncertainty in physical parameters. - Hei Victor Cheng, Wei Yu:
Degree-of-Freedom of Modulating Information in the Phases of Reconfigurable Intelligent Surface. - Elvys Linhares Pontes, Mohamed Benjannet:
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data. - Matthew Matero, Albert Hung, H. Andrew Schwartz:
Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. - Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan:
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. - Saurav Kumar, Saunack Kumar, Diptesh Kanojia, Pushpak Bhattacharyya:
"A Passage to India": Pre-trained Word Embeddings for Indian Languages. - Jamin Shin, Juneyoung Park:
Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners. - Rui Wang, Jun Xie, Jiacheng Han, Dezhen Qi:
Improving Deep Image Matting Via Local Smoothness Assumption. - Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy:
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation. - Yue Zhu, Mingyu Cai, Chris Schwarz, Junchao Li, Shaoping Xiao:
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning. - Pedro Miranda Pinheiro, Armando Alves Neto, Ricardo Bedin Grando, César Bastos da Silva, Vivian Misaki Aoki, Dayana Cardoso, Alexandre Campos Horn, Paulo Lilles Drews Jr.:
Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition. - Danny Hermelin, Hendrik Molter, Rolf Niedermeier, Dvir Shabtay:
Equitable Scheduling for the Total Completion Time Objective. - Jonah Brown-Cohen:
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error. - Serge Gladkoff, Lifeng Han:
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation. - Abhilasha Sancheti, Rachel Rudinger:
What do Large Language Models Learn about Scripts? - Paul Vicol, Luke Metz, Jascha Sohl-Dickstein:
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies. - Joe Suk, Samory Kpotufe:
Tracking Most Severe Arm Changes in Bandits. - Nan Chen, Honghu Liu, Fei Lu:
Shock trace prediction by reduced models for a viscous stochastic Burgers equation. - Girish Talmale, Urmila Shrawankar:
Comparative Analysis of Different Techniques of Real Time Scheduling for Multi-Core Platform. - Souvik Kundu, Shikai Wang, Qirui Sun, Peter A. Beerel, Massoud Pedram:
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch. - Oh Joon Kwon, Byungsoo Kim, Youngduck Choi:
Raw Produce Quality Detection with Shifted Window Self-Attention. - Maksim Viktorovich Kubrikov, Mikhail Vladimirovich Saramud, Ivan Alekseevich Paulin, Evgeniy Petrovich Talay:
Algorithm for recognizing the contour of a honeycomb block. - Jianguo Huang, Sen Lin, Yue Yu:
A lowest-order locking-free conforming virtual element method based on the reduced integration technique for linear elasticity problems. - Carles Domingo-Enrich:
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. - Ahmed Izzidien:
Can Social Ontological Knowledge Representations be Measured Using Machine Learning? - Xiangchen Zhao, Diyi Hu, Bhaskar Krishnamachari:
Design and Experimental Evaluation of Algorithms for Optimizing the Throughput of Dispersed Computing. - Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. - Phong Nguyen, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung:
Human View Synthesis using a Single Sparse RGB-D Input. - Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang:
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. - Le You, Han Jiang, Jinyong Hu, Chorng Hwa Chang, Lingxi Chen, Xintong Cui, Mengyang Zhao:
GPU-accelerated Faster Mean Shift with euclidean distance metrics. - Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad:
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks. - Faran Irshad, Stefan Karsch, Andreas Döpp:
Expected hypervolume improvement for simultaneous multi-objective and multi-fidelity optimization. - Sedigheh Eslami, Gerard de Melo, Christoph Meinel:
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain? - Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung, Yu-Ru Lin:
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization. - Jeff Jang, Dilan Nana, Jack Hochschild, Jordi Vila Hernandez de Lorenzo:
Predicting Breakdown Risk Based on Historical Maintenance Data for Air Force Ground Vehicles. - Na-Young Ahn, Dong Hoon Lee:
Forensic Issues and Techniques to Improve Security in SSD with Flex Capacity Feature. - Ahmed Zaitoon, Hossam El Din Abd El Munim, Hazem Abbas:
Improving Depth Estimation using Location Information. - David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. - Yayun Du, Andrew Miller, Mohammad Khalid Jawed:
Mechanics-based Analysis on Flagellated Robots. - Salman Habib, Allison Beemer, Jörg Kliewer:
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes. - Nhuong Nguyen, Song Han:
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent. - Dongge Han, Chris Xiaoxuan Lu, Tomasz P. Michalak, Michael J. Wooldridge:
Multiagent Model-based Credit Assignment for Continuous Control. - Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr:
SPIDER: Searching Personalized Neural Architecture for Federated Learning. - Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi:
Safe Reinforcement Learning with Chance-constrained Model Predictive Control. - Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. - Maxwell A. Weinzierl, Sanda M. Harabagiu:
The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets. - Xueyuan Zhao, Mehdi Rahmati, Dario Pompili:
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics. - Rodrigo Dutra Garcia, Gowri Sankar Ramachandran, Raja Jurdak, Jo Ueyama:
A Blockchain-based Data Governance Framework with Privacy Protection and Provenance for e-Prescription. - Mohaddeseh Bastan, Shahram Khadivi:
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings. - Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu:
Online Allocation with Two-sided Resource Constraints. - Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online Adversarial Distillation for Graph Neural Networks. - Yekyung Kim, Seohyeong Jeong, Kyunghyun Cho:
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing. - Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen:
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. - Akansha Singh Bansal, Trapit Bansal, David E. Irwin:
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning. - Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi:
Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning. - Yue Chen, Yu Yang, Xiaoyuan Xu:
Towards Transactive Energy: An Analysis of Information-related Practical Issues. - Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang:
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages. - Xing Wang, Hanwen Kang, Hongyu Zhou, Wesley Au, Chao Chen:
Soft Robotic Finger with Variable Effective Length enabled by an Antagonistic Constraint Mechanism. - Juan Han, Kit Ian Kou, Jifei Miao:
Quaternion-based dynamic mode decomposition for background modeling in color videos. - Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang:
Siamese Network with Interactive Transformer for Video Object Segmentation. - Xiaoqing Yang, Fei Li:
Relative velocity-based reward functions for crowd navigation of robots. - Shoya Matsumori, Yuki Abe, Kosuke Shingyouchi, Komei Sugiura, Michita Imai:
LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation. - Yayun Du, Guofeng Zhang, Darren Tsang, Mohammad Khalid Jawed:
Deep-CNN based Robotic Multi-Class Under-Canopy Weed Control in Precision Farming. - Wenhan Gao, Chunmei Wang:
Active Learning Based Sampling for High-Dimensional Nonlinear Partial Differential Equations. - Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo:
Associative Adversarial Learning Based on Selective Attack. - M. Al Mamun, Sumit Paudyal, Sukumar Kamalasadan:
Real-Time Power System Dynamic Simulation using Windowing based Waveform Relaxation Method. - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
Common Privacy Weaknesses and Vulnerabilities in Software Applications. - Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo:
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. - Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. - Wencan Zhang, Brian Y. Lim:
Towards Relatable Explainable AI with the Perceptual Process. - Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer:
Multi-Band Wi-Fi Sensing with Matched Feature Granularity. - Xiaodong Feng, Li Zeng, Tao Zhou:
Solving time dependent Fokker-Planck equations via temporal normalizing flow. - Chandrahas Tirumalasetty, Chih-Chieh Chou, A. L. Narasimha Reddy, Paul Gratz, Ayman Abouelwafa:
Reducing Minor Page Fault Overheads through Enhanced Page Walker. - Shunpei Terakawa, Takashi Matsubara, Takaharu Yaguchi:
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. - Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. - Jin Gao, Yan Lu, Xiaojuan Qi, Yutong Kou, Bing Li, Liang Li, Shan Yu, Weiming Hu:
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. - Jiawei Liu, Jing Zhang, Nick Barnes:
Semi-supervised Salient Object Detection with Effective Confidence Estimation. - Liang Liu, Zhao Kang, Ling Tian, Wenbo Xu, Xixu He:
Multilayer Graph Contrastive Clustering Network. - Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding:
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. - Jingze Che, Zhaoyang Zhang, Zhaohui Yang, Xiaoming Chen, Caijun Zhong, Derrick Wing Kwan Ng:
Unsourced Random Massive Access with Beam-Space Tree Decoding. - Jian Han, Yali Li, Shengjin Wang:
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification. - George Papadakis, Vasilis Efthymiou, Emanouil Thanos, Oktie Hassanzadeh:
Bipartite Graph Matching Algorithms for Entity Resolution: An Empirical Evaluation. - Shinji Katayama, Takashi Hikihara:
Analytical voltage estimation in power packet dispatching network. - Kejun Tang, Xiaoliang Wan, Chao Yang:
DAS: A deep adaptive sampling method for solving partial differential equations. - Bart Jacobs:
Multinomial and Hypergeometric Distributions in Markov Categories. 98-115 - Bart Jacobs:
Learning from What's Right and Learning from What's Wrong. 116-133 - Swaraj Dash, Sam Staton:
Monads for Measurable Queries in Probabilistic Databases. 34-50 - Giulio Fellin, Peter M. Schuster:
A General Glivenko-Gödel Theorem for Nuclei. 51-66 - Eric Finster, Samuel Mimram, Maxime Lucas, Thomas Seiller:
A Cartesian Bicategory of Polynomial Functors in Homotopy Type Theory. 67-83 - Nick Hu, Jamie Vicary:
Traced Monoidal Categories as Algebraic Structures in Prof. 84-97 - Tom de Jong:
Sharp Elements and Apartness in Domains. 134-151 - Ugo de'Liguoro, Riccardo Treglia:
From Semantics to Types: the Case of the Imperative lambda-Calculus. 168-183 - Samuel Mimram, Aly-Bora Ulusoy:
Syntactic Regions for Concurrent Programs. 184-199 - Rasmus Ejlers Møgelberg, Andrea Vezzosi:
Two Guarded Recursive Powerdomains for Applicative Simulation. 200-217 - Niccolò Veltri, Niels F. W. Voorneveld:
Inductive and Coinductive Predicate Liftings for Effectful Programs. 260-277 - Kazuki Watanabe, Clovis Eberhart, Kazuyuki Asada, Ichiro Hasuo:
A Compositional Approach to Parity Games. 278-295 - Zhi Chen, Fan Yang, Wenbing Tao:
DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration. - Menghan Wu, Haiyong Wang:
Gaussian quadrature rules for composite highly oscillatory integrals. - Ricard Durall, Janis Keuper:
Investigating Shifts in GAN Output-Distributions. - Ali Hashemian, Daniel García, David Pardo, Victor M. Calo:
Performance of Refined Isogeometric Analysis in Solving Quadratic Eigenvalue Problems. - Canze Zhu, Qunying Liao:
The complete weight enumerator of the Reed-Solomon code with dimension two or three. - Graham A. Cutting, Anne-Françoise Cutting-Decelle:
Intelligent Document Processing - Methods and Tools in the real world. - Zhaohang Yan:
The Impacts of Low/No-Code Development on Digital Transformation and Software Development. - Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Financial Vision Based Differential Privacy Applications. - Pranav Kumar Singh, Sukumar Nandi, Sunit Kumar Nandi, Uttam Ghosh, Danda B. Rawat:
Blockchain Meets AI for Resilient and Intelligent Internet of Vehicles. - David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu:
Embodied Learning for Lifelong Visual Perception. - Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng:
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. - Philipp Harzig, Moritz Einfalt, Rainer Lienhart:
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation. - Maria Cipollina, Luca de Benedictis, Elisa Scibè:
Environmental migration? An overview of the literature. - Philipp Harzig, Moritz Einfalt, Katja Ludwig, Rainer Lienhart:
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) - Team: MMCUniAugsburg. - (Withdrawn) On the Complexity of Realizability for Safety LTL and Related Subfragments.
- Fang-Qi Li, Shi-Lin Wang, Yun Zhu:
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment. - Ahmed A. O. Tayeh, Bruno Dumas, Beat Signer:
A Metamodel and Prototype for Fluid Document Formats. - Adeel Malik, Berksan Serbetci, Petros Elia:
Stochastic Coded Caching with Optimized Shared-Cache Sizes and Reduced Subpacketization. - Zhiyong Zheng, Wenlin Huang, Jie Xu, Kun Tian:
A Generalization of Cyclic Code and Applications to Public Key Cryptosystems. - Jiaqi Jiang, Shan Luo:
Robotic Perception of Object Properties using Tactile Sensing. - Rusni Kima Mangang, J. Harshan:
Do Not Forget the Past: A Buffer-Aided Framework for Relay Based Key Generation. - Yuwei Huang, Weidong Mei, Rui Zhang:
Empowering Base Stations with Co-Site Intelligent Reflecting Surfaces: User Association, Channel Estimation and Reflection Optimization. - Hisham A. Kholidy:
State Compression and Quantitative Assessment Model for Assessing Security Risks in the Oil and Gas Transmission Systems. - Jeongsik Choi:
Enhanced Wi-Fi RTT Ranging: A Sensor-Aided Learning Approach. - Abdelkrim Chakib, Abdeljalil Nachaoui, Mourad Nachaoui, Hamid Ouaissa:
On a regularization approach for solving the inverse Cauchy Stokes problem. - Dayang Liu:
A Model-Based Architecture for Automatic Anesthesia Infusion. - David McCaffary:
Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience. - Pedro Abdalla:
Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders. - Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Cerebro: Static Subsuming Mutant Selection. - Niko Partanen, Jack Rueter, Mika Hämäläinen, Khalid Alnajjar:
Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts. - Jose Ramon Chang, Torbjörn E. M. Nordling:
Skin feature point tracking using deep feature encodings. - Joël Chaskalovic, Hessam Jamshidipour:
A New First Order Taylor-like Theorem With An Optimized Reduced Remainder. - Karolina Stanczak, Isabelle Augenstein:
A Survey on Gender Bias in Natural Language Processing. - Agnieszka Ciborowska, Kostadin Damevski:
Fast Changeset-based Bug Localization with BERT. - Austen Rainer, Claes Wohlin:
Recruiting credible participants for field studies in software engineering research. - (Withdrawn) Robust Security Analysis Based on Random Geometry Theory for Satellite-Terrestrial-Vehicle Network.
- Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang:
Exponential Family Model-Based Reinforcement Learning via Score Matching. - Alexander Yu, Yuvraj Agarwal, Jason I. Hong:
Analysis of Longitudinal Changes in Privacy Behavior of Android Applications. - Amajit Sarma:
A survey on product codes and 2-D codes. - Li Qiao, Jun Zhang, Zhen Gao, Dezhi Zheng, Md. Jahangir Hossain, Yue Gao, Derrick Wing Kwan Ng, Marco Di Renzo:
Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access. - Alain Denzler, Rahul Bera, Nastaran Hajinazar, Gagandeep Singh, Geraldo F. Oliveira, Juan Gómez-Luna, Onur Mutlu:
Casper: Accelerating Stencil Computation using Near-cache Processing. - Dineshkumar, N. R. Sakthivel, Binoy B. Nair:
Robotic Hand Rehabilitation System. - Weiran Lin, Keane Lucas, Lujo Bauer, Michael K. Reiter, Mahmood Sharif:
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. - Dongyu Liu, Sanne J. van den Boom, Angelo Simone, Alejandro M. Aragón:
An interface-enriched generalized finite element formulation for locking-free coupling of non-conforming discretizations and contact. - Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. - Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. - Vanlin Sathya, Srikant Manas Kala, Kalpana Naidu:
Heterogenous Networks: From small cells to 5G NR-U. - Adrian Haret, Johannes Peter Wallner:
An AGM Approach to Revising Preferences. - Hunmin Lee, Yueyang Liu, Donghyun Kim, Yingshu Li:
Robust Convergence in Federated Learning through Label-wise Clustering. - Dana Fisman, Hadar Frenkel, Sandra Zilles:
Inferring Symbolic Automata. - Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee:
Session-based Recommendation with Hypergraph Attention Networks. - Matthew Fickus, Joseph W. Iverson, John Jasper, Dustin G. Mixon:
Harmonic Grassmannian codes. - Gianmarco Manzini, Annamaria Mazzia:
Conforming virtual element approximations of the two-dimensional Stokes problem. - Miroslav Fil, Munib Mesinovic, Matthew Morris, Jonas Wildberger:
Beta-VAE Reproducibility: Challenges and Extensions. - Gizem Gezici:
Query Suggestion for Click-Absent Queries in Enterprise Search. - Yang Liu, Qi Luo, Raga Gopalakrishnan, Samitha Samaranayake:
A Framework for the Joint Optimization of Assignment and Pricing in Mobility-on-Demand Systems with Shared Rides. - Guanqun Cao, Shan Luo:
Multimodal perception for dexterous manipulation. - Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild:
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. - Erfan Aasi, Mingyu Cai, Cristian Ioan Vasile, Calin Belta:
Time-Incremental Learning from Data Using Temporal Logics. - Milan Bankovic, Ivan Drecun, Filip Maric:
A proof system for graph (non)-isomorphism verification. - Ugo Dal Lago, Valeria de Paiva:
Proceedings Second Joint International Workshop on Linearity & Trends in Linear Logic and Applications, Linearity&TLLA@IJCAR-FSCD 2020, Online, 29-30 June 2020. EPTCS 353, 2021 [contents] - Wei Miao, Jr-Shin Li:
Ensemble Recognition in Reproducing Kernel Hilbert Spaces through Aggregated Measurements. - Vamsi Addanki, Oliver Michel, Stefan Schmid:
PowerTCP: Pushing the Performance Limits of Datacenter Networks. - Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda:
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. - Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
FRIDA - Generative Feature Replay for Incremental Domain Adaptation. - Grace E. Lee, Aixin Sun:
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews. - Carlos F. Borges:
A Correctly Rounded Newton Step for the Reciprocal Square Root. - Prerna Patil, Hessam Babaee:
Reduced order modeling with time-dependent bases for PDEs with stochastic boundary conditions. - Mohammad K. Ebrahimpour, Gang Qian, Allison Beach:
Multi-Head Deep Metric Learning Using Global and Local Representations. - David Hasselquist, Christoffer Lindström, Nikita Korzhitskii, Niklas Carlsson, Andrei V. Gurtov:
QUIC Throughput and Fairness over Dual Connectivity (extended). - Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg:
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. - Mingze Yuan, Christian Richardt:
360° Optical Flow using Tangent Images. - Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou:
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. - Jia Hao Tan, Tariq Masood:
Adoption of Industry 4.0 technologies in airports - A systematic literature review. - Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen:
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently. - Zhiyuan Wang, Lin Gao, Jianwei Huang:
Socially-Optimal Mechanism Design for Incentivized Online Learning. - Rami Mohawesh, Shuxiang Xu, Matthew Springer, Muna Al-Hawawreh, Sumbal Maqsood:
Fake or Genuine? Contextualised Text Representation for Fake Review Detection. - Gilbert Bahati, Marsalis T. Gibson, Alexandre M. Bayen:
Multi-Adversarial Safety Analysis for Autonomous Vehicles. - Fang-Chieh Chou, Marsalis T. Gibson, Rahul Bhadani, Alexandre M. Bayen, Jonathan Sprinkle:
Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results. - Runze Gao, Yuanqing Xia, Li Dai, Zhongqi Sun:
Design and Implementation of Data-driven Predictive Cloud Control System. - Runze Gao, Yuanqing Xia, Guan Wang, Liwen Yang, Yufeng Zhan:
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System. - Long Chen, Xuehai Huang:
Geometric Decompositions of Div-Conforming Finite Element Tensors. - Bingyang Chena, Xingjie Zeng, Weishan Zhang:
Federated Learning for Cross-block Oil-water Layer Identification. - Bingyang Chen, Tao Chen, Xingjie Zeng, Weishan Zhang, Qinghua Lu, Zhaoxiang Hou, Jiehan Zhou, Sumi Helal:
Feature-context driven Federated Meta-Learning for Rare Disease Prediction. - Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. - Sung Min Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo, Eunhyeok Park:
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models. - Yongfa Ling, Wenbo Guan, Qiang Ruan, Heping Song, Yuping Lai:
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization. - Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Zhe Jiang, Bin Qiu, Yunfei You, Yibao Zhang, Qiushi Ren, Yanye Lu:
Background-aware Classification Activation Map for Weakly Supervised Object Localization. - Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification. - Guofeng Mei, Xiaoshui Huang, Litao Yu, Jian Zhang, Mohammed Bennamoun:
COTReg: Coupled Optimal Transport based Point Cloud Registration. - Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen:
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. - Shubhajit Sen, Samhita Pal, Srijan Sengupta:
Social Sensors in Epidemiological Networks via Graph Eigenvectors. - Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang:
Training Time Minimization for Federated Edge Learning with Optimized Gradient Quantization and Bandwidth Allocation. - Lei Xie, Peilan Wang, Shenghui Song, Khaled B. Letaief:
Perceptive Mobile Network with Distributed Target Monitoring Terminals: Leaking Communication Energy for Sensing. - Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. - Tung-Wei Kuo:
Online Starvation Mitigation to Balance Average Flow Time and Fairness. - Karttikeya Mangalam, Rohin Garg:
Overcoming Mode Collapse with Adaptive Multi Adversarial Training. - Hardik Patel, Purvi Koringa:
The impact of students behaviour, their approach, emotions and problem difficulty level on the performance prediction, evaluation and overall learning process during online coding activities. - Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan:
Efficient Algorithms for Maximal k-Biplex Enumeration. - (Withdrawn) Control Theoretic Analysis of Temporal Difference Learning.
- Yiqi Gu, Michael K. Ng:
Deep adaptive basis Galerkin method for high-dimensional evolution equations with oscillatory solutions. - Kejiang Chen, Xianhan Zeng, Qichao Ying, Sheng Li, Zhenxing Qian, Xinpeng Zhang:
Invertible Image Dataset Protection. - Khen Elimelech, Vadim Indelman:
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic. - Jian Du, Haitao Mi:
DP-FP: Differentially Private Forward Propagation for Large Models. - Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir, Momin Uppal:
Variational-Based Non-linear Bayesian Filtering with Observations Subjected to Gross Errors. - Dohyun Jang, Jaehyun Yoo, Clark Youngdong Son, H. Jin Kim:
Fully Distributed Informative Planning for Environmental Learning with Multi-Robot Systems. - Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando:
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves. - François-Xavier Aubet, Daniel Zügner, Jan Gasthaus:
Monte Carlo EM for Deep Time Series Anomaly Detection. - Hai Su, Shan Yang, Shuqing Zhang, Songsen Yu:
A Color Image Steganography Based on Frequency Sub-band Selection. - Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim:
Deformable Graph Convolutional Networks. - Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang:
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation. - Gizem Gezici:
Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques. - Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia:
Differentially-Private Clustering of Easy Instances. - Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen:
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. - Ziyang Yuan, Lu Zhang, Hongxia Wang, Hui Zhang:
Adaptively Sketched Bregman Projection Methods for Linear Systems. - Céline Comte, Fabien Mathieu, Ana Busic:
Stochastic dynamic matching: A mixed graph-theory and linear-algebra approach. - Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou:
Baihe: SysML Framework for AI-driven Databases. - Anurag Dhasmana, Arindaam Roy, Divjeet Singh Jas, Kiranpreet Kaur, Pinn Prugsanapan:
Forking Around: Correlation of forking practices with the success of a project. - Kacper Sokol, Peter A. Flach:
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence. - Shengshan Hu, Jianrong Lu, Wei Wan, Leo Yu Zhang:
Challenges and approaches for mitigating byzantine attacks in federated learning. - Weiping Shi, Xinyi Jiang, Jinsong Hu, Yin Teng, Yang Wang, Hangjia He, Rongen Dong, Feng Shu, Jiangzhou Wang:
Physical Layer Security Techniques for Future Wireless Networks. - Lu-Ning Zhang, Jian-Wei Liu, Zhi-yan Song, Xin Zuo:
Temporal Attention Augmented Transformer Hawkes Process. - Manisha Dubey, Ragja Palakkadavath, P. K. Srijith:
Bayesian Neural Hawkes Process for Event Uncertainty Prediction. - Claudio Bonesana, Francesca Mangili, Alessandro Antonucci:
ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. - Junhan Kim, Kyuhong Shim, Byonghyo Shim:
Semantic Feature Extraction for Generalized Zero-shot Learning. - Lu-ning Zhang, Jianwei Liu, Zhi-yan Song, Xin Zuo:
Universal Transformer Hawkes Process with Adaptive Recursive Iteration. - Luciano Serafini, Raul Barbosa, Jasmin Grosinger, Luca Iocchi, Christian Napoli, Salvatore Rinzivillo, Jacques Robin, Alessandro Saffiotti, Teresa Scantamburlo, Peter Schüller, Paolo Traverso, Javier Vázquez-Salceda:
On some Foundational Aspects of Human-Centered Artificial Intelligence. - Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng:
GPS: A Policy-driven Sampling Approach for Graph Representation Learning. - Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. - Farjad Malik, Simon Wouters, Ruben Cartuyvels, Erfan Ghadery, Marie-Francine Moens:
Two-phase training mitigates class imbalance for camera trap image classification with CNNs. - Daniele A. Di Pietro, Jérôme Droniou:
A fully discrete plates complex on polygonal meshes with application to the Kirchhoff-Love problem. - Yasuaki Oishi, Noboru Sakamoto:
Optimal Sampled-Data Control of a Nonlinear System. - Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. - Peng Li, Huanmin Ge, Pengbo Geng:
Signal and Image Reconstruction with Tight Frames via Unconstrained 𝓁1-α𝓁2-Analysis Minimizations. - Fahad Aljehani, Ibrahima N'Doye, Micaela S. Justo, John E. Majoris, Michael L. Berumen, Taous-Meriem Laleg-Kirati:
Spatial Distribution Patterns of Clownfish in Recirculating Aquaculture Systems. - Xenia Ohmer, Michael Marino, Michael Franke, Peter König:
Mutual influence between language and perception in multi-agent communication games. - Alonso Rodríguez-Navarro, Ricardo Brito:
The link between countries' economic and scientific wealth has a complex dependence on technological activity and research policy. - Pierfrancesco Beneventano, Patrick Cheridito, Robin Graeber, Arnulf Jentzen, Benno Kuckuck:
Deep neural network approximation theory for high-dimensional functions. - M. Sabbir Salek, Mashrur Chowdhury, Mizanur Rahman, Kakan C. Dey, Md Rafiul Islam:
Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon. - Gergely Ódor, Jana Vuckovic, Miguel-Angel Sanchez Ndoye, Patrick Thiran:
Source Detection via Contact Tracing in the Presence of Asymptomatic Patients. - Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. - (Withdrawn) Res2NetFuse: A Fusion Method for Infrared and Visible Images.
- Ibrahim Shoer, Bahadir K. Gunturk, Hasan F. Ates, Tuncer Baykas:
Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network. - Milos Ojdanic, Ezekiel O. Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Mutation Testing in Evolving Systems: Studying the relevance of mutants to code evolution. - Igor Samenko, Alexey Tikhonov, Borislav Kozlovskii, Ivan P. Yamshchikov:
Fine-Tuning Transformers: Vocabulary Transfer. - Jonathan Lorraine, Paul Vicol, Jack Parker-Holder, Tal Kachman, Luke Metz, Jakob N. Foerster:
Lyapunov Exponents for Diversity in Differentiable Games. - Jia Hao Tan, Tariq Masood:
Industry 4.0: Challenges and success factors for adopting digital technologies in airports. - Laurent Orseau, Marcus Hutter:
Isotuning With Applications To Scale-Free Online Learning. - Zidong Wu, Mingyao Cui, Zijian Zhang, Linglong Dai:
Distance-Aware Precoding for Near-Field Capacity Improvement in XL-MIMO. - Dianzhao Li, Ostap Okhrin:
DDPG car-following model with real-world human driving experience in CARLA. - Stanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk:
Learning Higher-Order Programs without Meta-Interpretive Learning. - Jian Zhang:
On the Relational Translation Method for Propositional Modal Logics. - Emmanuel Beffara, Félix Castro, Mauricio Guillermo:
Concurrent Realizability on Conjunctive Structures. - Vaibhav Bajpai, Radek Krejcí, Leonidas Poulopoulos:
Managing Home Routers with NETCONF over TLS and NETCONF Call Home. - Stuart Millar:
IoT Security Challenges and Mitigations: An Introduction. - Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou, Xiuyi Fan:
Towards a Shapley Value Graph Framework for Medical peer-influence. - Alireza Abdoli:
Time Series Data Mining Algorithms Towards Scalable and Real-Time Behavior Monitoring. - Hongqing Huang, Peiran Wu, Minghua Xia:
Bayesian Compressive Channel Estimation for Hybrid Full-Dimensional MIMO Communications. - Moïse Blanchard, Romain Cosson:
Universal Online Learning with Bounded Loss: Reduction to Binary Classification. - Hongyi Fan, Joe Kileel, Benjamin B. Kimia:
On the Instability of Relative Pose Estimation and RANSAC's Role. - Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Private Rank Aggregation in Central and Local Models. - Bader A. Aldawsari, Bogdan S. Chlebus, Dariusz R. Kowalski:
Broadcasting on Adversarial Multiple Access Channels. - Vítor Albiero, Kai Zhang, Michael C. King, Kevin W. Bowyer:
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology. - Annalisa Buffa, Ondine Chanon, Rafael Vázquez Hernández:
An a posteriori error estimator for isogeometric analysis on trimmed geometries. - Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis. - Christoforos Somarakis, Guangyi Liu, Nader Motee:
Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks. - Shimin Wang, Xiangyu Meng, Hongwei Zhang, Frank L. Lewis:
Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks. - Nadav Rotem, Chris Cummins:
Profile Guided Optimization without Profiles: A Machine Learning Approach. - Sebastian Drost, Arne Vogt, Christian Danowski-Buhren, Simon Jirka, Verena Kirstein, Kian Pakzad, Matthes Rieke:
WaCoDiS: Automated Earth Observation Data Processing within an Event-Driven Architecture for Water Monitoring. - Stephen J. Thomas, Arielle Carr, Paul Mullowney, Ruipeng Li, Kasia Swirydowicz:
Neumann Series in GMRES and Algebraic Multigrid Smoothers. - Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny:
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2. - Guangyi Liu, Christoforos Somarakis, Nader Motee:
Risk of Cascading Failures in Platoon of Autonomous Vehicles with Delayed Communication. - Ke Sun, Iñaki Esnaola, Antonia M. Tulino, H. Vincent Poor:
Asymptotic Learning Requirements for Stealth Attacks. - Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. - Hao Song, Lingjia Liu, Ananth Balasubramanian:
Efficient Data Exchange in Unmanned Aerial Vehicle Networks Utilizing Unsupervised Learning-Based Clustering. - Mukesh Ghimire, Malobika Roy Choudhury, Guna Sekhar Sai Harsha Lagudu:
Lane Change Decision-Making through Deep Reinforcement Learning. - Zaid Tahir, Rob Alexander:
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA. - Hanfeng Zhai, Timothy A. Sands:
Physics-Informed Deep Operator Control: Controlling chaos in van der Pol oscillating circuits. - Ziyang Lu, Chen Zhong, Mustafa Cenk Gursoy:
Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning. - Won Joon Yun, Myungjae Shin, Soyi Jung, Sean Soek-Chul Kwon, Joongheon Kim:
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles. - Alessandro Cheli, Christopher Rackauckas:
Automated Code Optimization with E-Graphs. - Matija Sipek, Branko Mihaljevic, Aleksander Radovan:
Exploring Aspects of Polyglot High-Performance Virtual Machine GraalVM. - Eduardo Sany Laber, Lucas Murtinho, Felipe Oliveira:
Shallow decision trees for explainable k-means clustering. - Jonathan M. Castello, Daniel J. Katz, Jacob M. King, Alain Olavarrieta:
Sets of Low Correlation Sequences from Cyclotomy. - Albert Fannjiang:
Uniqueness Theorem for Tomographic Phase Retrieval with Few Diffraction Patterns. - Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents. - Yaniv Sadeh, Ori Rottenstreich, Haim Kaplan:
Optimal Weighted Load Balancing in TCAMs. - Ismael T. Freire, Adrián Fernández Amil, Paul F. M. J. Verschure:
Sequential Episodic Control. - Anrin Chakraborti, Giulia Fanti, Michael K. Reiter:
Distance-Aware Private Set Intersection. - Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge:
Disentanglement and Generalization Under Correlation Shifts. - Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. - Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou, Heng Xiao:
Frame invariance and scalability of neural operators for partial differential equations. - Predrag Janicic, Zoltán Kovács:
Proceedings of the 13th International Conference on Automated Deduction in Geometry, ADG 2021, Hagenberg, Austria/virtual, September 15-17, 2021. EPTCS 352, 2021 [contents] - Behkish Nassirzadeh, Huaiying Sun, Sebastian Banescu, Vijay Ganesh:
Gas Gauge: A Security Analysis Tool for Smart Contract Out-of-Gas Vulnerabilities. - Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. - Zian Liu:
Working mechanism of Eternalblue and its application in ransomworm. - Ashish Salunkhe:
Attention-based Bidirectional LSTM for Deceptive Opinion Spam Classification. - José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. - Georgios Exarchakis, Omar Oubari, Gregor Lenz:
A sampling-based approach for efficient clustering in large datasets. - Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard, Mohammad Akbari:
Deep Learning meets Liveness Detection: Recent Advancements and Challenges. - Deep Inder Mohan, Arjun Verma, Shrisha Rao:
Modeling Prejudice and Its Effect on Societal Prosperity. - Jianghao Shen, Tianfu Wu:
Learning Inception Attention for Image Synthesis and Image Recognition. - Pedro Costa, Vítor Cerqueira, João Vinagre:
AutoFITS: Automatic Feature Engineering for Irregular Time Series. - Florian Kammüller:
Explanation by Automated Reasoning Using the Isabelle Infrastructure Framework. - Ruoyu Wang:
Active Learning-Based Optimization of Scientific Experimental Design. - Tuan-Phong Nguyen, Simon Razniewski:
Materialized Knowledge Bases from Commonsense Transformers. - Deven Shah, Pinak Ghate, Manali Paranjape, Amit Kumar:
Application of Hierarchical Temporal Memory Theory for Document Categorization. - Nuno Oliveira, Norberto Sousa, Jorge Oliveira, Isabel Praça:
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space. - Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent:
UCoDe: Unified Community Detection with Graph Convolutional Networks. - Sergey Titov, Yaroslav Golubev, Timofey Bryksin:
ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells. - Sariel Har-Peled:
On the Number of Incidences when Avoiding the Klan. - Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou:
A Hardware-Software Stack for Serverless Edge Swarms. - Fu Peng, Shengcai Liu, Ke Tang:
Training Quantized Deep Neural Networks via Cooperative Coevolution. - Aviral Chharia, Nishi Mehta, Shivam Gupta, Shivam Prajapati:
Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management. - X. San Liang:
An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow. - Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. - Syed Wali, Irfan Khan:
Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems. - Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim:
A Graph Attention Learning Approach to Antenna Tilt Optimization. - Vighnesh Sachidananda, Anirudh Sivaraman:
Learned Autoscaling for Cloud Microservices with Multi-Armed Bandits. - Christodoulos Constantinides, Kareem Nassar:
Effects of Plasticity Functions on Neural Assemblies. - Yordan Kalmukov:
Using word clouds for fast identification of papers' subject domain and reviewers' competences. - Chuwen Ma, Weiying Zheng:
A high-order unfitted finite element method for moving interface problems. - Dixian Zhu, Tianbao Yang:
A Unified DRO View of Multi-class Loss Functions with top-N Consistency. - Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec:
Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies. - Tan Bui-Thanh:
A Unified and Constructive Framework for the Universality of Neural Networks. - Dongfang Zhao:
XLPN: Efficient and Scalable Cross-Ledger Protocols for the Topological Consortium of Permissioned Blockchains. - Clautilde Nguiadem, Maxime Raison, Sofiane Achiche:
A Test Bench For Evaluating Exoskeletons For Upper Limb Rehabilitation. - Pengen Gao, Shengkai Zhang, Wei Wang, Chris Xiaoxuan Lu:
Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation. - Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao:
Few-shot Backdoor Defense Using Shapley Estimation. - Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang:
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task. - Bin Chong, Yingguang Yang, Zi-Le Wang, Hang Xing, Zhirong Liu:
Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates. - Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma:
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing. - Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. - Mohsen Jafarzadeh, Nicholas R. Gans, Yonas Tadesse:
On-Policy Robust Adaptive Discrete-Time Regulator for Passive Unidirectional System using Stochastic Hill-climbing Algorithm and Associated Search Element. - Rinu Joseph:
A Survey of Deep Learning Techniques for Dynamic Branch Prediction. - Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. - Jinyu Yin, Li Jiang, Xinggong Zhang, Bin Liu:
INTCP: Information-centric TCP for Satellite Network. - Ryoma Sato:
Retrieving Black-box Optimal Images from External Databases. - Ali Rezaei Nasab, Mojtaba Shahin, Seyed Ali Hoseyni Raviz, Peng Liang, Amir Mashmool, Valentina Lenarduzzi:
An Empirical Study of Security Practices for Microservices Systems. - Joshua Y. Kim, Kalina Yacef:
An empirical user-study of text-based nonverbal annotation systems for human-human conversations. - Roy Rudolf Huizen, Florentina Tatrin Kurniati:
Feature extraction with mel scale separation method on noise audio recordings. - Seongyeop Yang, Kunhee Kim, Yeejin Lee:
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth. - Saurav Ghosh, Philippe Loustaunau:
RheFrameDetect: A Text Classification System for Automatic Detection of Rhetorical Frames in AI from Open Sources. - Takehiro Tanaka, Hyomin Choi, Ivan V. Bajic:
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences. - Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. - Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. - Deekshajyothi S, Gowrishankar G:
Close Friends, Popular Peers, Team formation and Leadership in Group Projects. - Chenlin Shen, Guangda Huzhang, Yu-Hang Zhou, Chen Liang, Qing Da:
A General Traffic Shaping Protocol in E-Commerce. - Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. - Hang Qiu, Po-Han Huang, Namo Asavisanu, Xiaochen Liu, Konstantinos Psounis, Ramesh Govindan:
AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving. - Yingquan Li, Zhenwen Liang, Ibrahima N'Doye, Xiangliang Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati:
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication. - Shashikiran Venkatesha, Ranjani Parthasarathi:
A Survey of fault mitigation techniques for multi-core architectures. - Yichang Feng, Haiyun Zhang, Jin Wang, Guodong Lu:
Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning. - Shyam Dhamapurkar, Shubham Vivek Pawar, Jaikumar Radhakrishnan:
Set membership with two classical and quantum bit probes. - Shangguang Wang, Qing Li, Mengwei Xu, Xiao Ma, Ao Zhou, Qibo Sun:
Tiansuan Constellation: An Open Research Platform. - Liu Bo:
A Benchmark Dataset for Micro-video Thumbnail Selection. - Christian Retoré:
Flag: a Self-Dual Modality for Non-Commutative Contraction and Duplication in the Category of Coherence Spaces. 157-174 - Matteo Acclavio:
Exponentially Handsome Proof Nets and Their Normalization. 1-25 - Matteo Acclavio, Giulio Guerrieri:
A Deep Inference System for Differential Linear Logic. 26-49 - Esaïe Bauer, Olivier Laurent:
Super Exponentials in Linear Logic. 50-73 - Masahito Hasegawa:
A Braided Lambda Calculus. 94-108 - Jack Hughes, Michael Vollmer, Dominic Orchard:
Deriving Distributive Laws for Graded Linear Types. 109-131 - Alberto Naibo, Yuta Takahashi:
Harmony in the Light of Computational Ludics. 132-156 - Seung Park, Yong-Goo Shin:
A Novel Generator with Auxiliary Branch for Improving GAN Performance. - Yunji Kim, Jung-Woo Ha:
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. - (Withdrawn) Contrastive Learning of Semantic and Visual Representations for Text Tracking.
- Aya Bernstine, Yehonatan Mizrahi:
Efficiently Enumerating Scaled Copies of Point Set Patterns. - S. P. Abirami, G. Kousalya, R. Karthick:
Exploring the pattern of Emotion in children with ASD as an early biomarker through Recurring-Convolution Neural Network (R-CNN). - Zhitong Xiong, Wei Huang, Jingtao Hu, Yilei Shi, Qi Wang, Xiao Xiang Zhu:
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation. - Irina A. Lomazova, Alexey A. Mitsyuk, Andrey Rivkin:
Soundness in Object-centric Workflow Petri Nets. - Reijo Jaakkola:
Expressive power versus decidability. - Josep Domingo-Ferrer, Jesús A. Manjón:
Circuit-Free General-Purpose Multi-Party Computation via Co-Utile Unlinkable Outsourcing. - Markus Schläpfer, Hong Jun Chew, Seanglidet Yean, Bu-Sung Lee:
Using Mobility Patterns for the Planning of Vehicle-to-Grid Infrastructures that Support Photovoltaics in Cities. - Michele Ducceschi, Stefan Bilbao:
Simulation of the Geometrically Exact Nonlinear String via Energy Quadratisation. - Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng:
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. - Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. - Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis:
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification. - Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer:
Continually Learning Self-Supervised Representations with Projected Functional Regularization. - Safa Alver, Doina Precup:
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates. - Erico Tjoa, Cuntai Guan:
Two Instances of Interpretable Neural Network for Universal Approximations. - Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly, Samuel W. F. Earp, Taya Kitiyakara, Suparee Boonmanunt, Ratchainant Thammasudjarit:
Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach. - Erico Tjoa, Cuntai Guan:
Self Reward Design with Fine-grained Interpretability. - Silvia Bertoluzza, Micol Pennacchio, Daniele Prada:
Weakly imposed Dirichlet boundary conditions for 2D and 3D Virtual Elements. - Yingying Wang, Cunliang Kong, Liner Yang, Yijun Wang, Xiaorong Lu, Renfen Hu, Shan He, Zhenghao Liu, Yun Chen, Erhong Yang, Maosong Sun:
YACLC: A Chinese Learner Corpus with Multidimensional Annotation. - Shiwei Zhang, Xiuzhen Zhang:
Does QA-based intermediate training help fine-tuning language models for text classification? - Henriette Lipschütz, Ulrich Reitebuch, Martin Skrodzki, Konrad Polthier:
Weaving patterns inspired by the pentagon snub subdivision scheme. - (Withdrawn) TextRGNN: Residual Graph Neural Networks for Text Classification.
- Abhisekh Sankaran:
Feferman-Vaught Decompositions for Prefix Classes of First Order Logic. - Junjin He, Yujie Wang, Xin Du, Zhihui Lu:
V2V-Based Task Offloading and Resource Allocation in Vehicular Edge Computing Networks. - Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks:
Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps. - Valentin Honoré, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Ewa Deelman, Frédéric Suter:
SIM-SITU: A Framework for the Faithful Simulation of in-situ Workflows. - Omar Alfarisi, Djamel Ouzzane, Mohamed Sassi, Tiejun Zhang:
Digital Rock Typing DRT Algorithm Formulation with Optimal Supervised Semantic Segmentation. - Sami Sarsa, Juho Leinonen, Arto Hellas:
Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation. - Tomas Hodan:
Pose Estimation of Specific Rigid Objects. - Rashmi Bakshi:
Feature Extraction and Prediction for Hand Hygiene Gestures with KNN Algorithm. - Yue Ju, Alka Isac, Yimin Nie:
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer. - Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. - Dvir Yerushalmi, Dov Danon, Amit H. Bermano:
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators. - Jingye Chen, Haiyang Yu, Jianqi Ma, Mengnan Guan, Xixi Xu, Xiaocong Wang, Shaobo Qu, Bin Li, Xiangyang Xue:
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study. - Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh:
Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems. - Ádám Csóka, György Kovács, Virág Ács, Zsolt Matics, Zsolt Gerencsér, Zsolt Szendro, István Nagy, Örs Petneházy, Imre Repa, Mariann Moizs, Tamás Donkó:
A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program. - Teresa Paccosi, Alessio Palmero Aprosio:
KIND: an Italian Multi-Domain Dataset for Named Entity Recognition. - Xiaojie Wang, Yuying Zhao:
Weak approximations of nonlinear SDEs with non-globally Lipschitz continuous coefficients. - Ziyu Wang, Dejing Xu, Gus Xia, Ying Shan:
Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning. - Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Stochastic Layers in Vision Transformers. - Pablo Torres, Beril Sirmaçek, Sergio Hoyas, Ricardo Vinuesa:
Aim in Climate Change and City Pollution. - Tomer Galanti, András György, Marcus Hutter:
On the Role of Neural Collapse in Transfer Learning. - Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya, Malhar Kulkarni, Gholamreza Haffari:
Utilizing Wordnets for Cognate Detection among Indian Languages. - Gideon Billings, Matthew R. Walter, Oscar Pizarro, Matthew Johnson-Roberson, Richard Camilli:
Towards Automated Sample Collection and Return in Extreme Underwater Environments. - JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck:
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. - Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. - Maximiliano Cristiá, Gianfranco Rossi:
An Automatically Verified Prototype of a Landing Gear System. - Gali Noti:
From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions. - Thomas Führer, Pablo Herrera, Norbert Heuer:
DPG methods for a fourth-order div problem. - Mohammad Salimibeni, Arash Mohammadi, Parvin Malekzadeh, Konstantinos N. Plataniotis:
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation. - Sai Rugved Lola, Rahul Dhadvai, Wei Wang, Ting Zhu:
Chatbot for fitness management using IBM Watson. - Sharlet Claros, Wei Wang, Ting Zhu:
Investigations of Smart Health Reliability. - Nunzio Mirabella, Michelangelo Grosso, Giovanna Franchino, Salvatore Rinaudo, Ioannis Deretzis, Antonino La Magna, Matteo Sonza Reorda:
Comparing different solutions for testing resistive defects in low-power SRAMs. - Noam Leiter, Daniel Zelazo:
Product Form of Projection-Based Model Reduction and its Application to Multi-Agent Systems. - Ayub I. Lakhani, Myisha A. Chowdhury, Qiugang Lu:
Stability-Preserving Automatic Tuning of PID Control with Reinforcement Learning. - Steven Basart:
Towards Robustness of Neural Networks. - Christoph Bauinger, Oscar P. Bruno:
Massively Parallelized Interpolated Factored Green Function Method. - Daniel Wilson, Xiaohan Zhang, Waqas Sultani, Safwan Wshah:
Visual and Object Geo-localization: A Comprehensive Survey. - Raphael Reinauer, Matteo Caorsi, Nicolas Berkouk:
Persformer: A Transformer Architecture for Topological Machine Learning. - Peter Jan van Leeuwen, Dan Crisan, Oana Lang, Roland Potthast:
Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model. - Yao Wang, Chuhan Jiao, Mihai Bâce, Andreas Bulling:
VisQA: Quantifying Information Visualisation Recallability via Question Answering. - Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. - Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Andrey Kirilenko, Timofey Bryksin:
AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. - Arindam Biswas, Venkatesh Raman, Srinivasa Rao Satti, Saket Saurabh:
Space-Efficient FPT Algorithms. - Ognyan Kounchev, Hermann Render, Tsvetomir Tsachev:
Fast algorithms for interpolation with L-splines for differential operators L of order 4 with constant coefficients. - Amir Samani, Richard S. Sutton:
Learning Agent State Online with Recurrent Generate-and-Test. - Jorge F. Silva, Felipe A. Tobar, Mario Vicuña, Felipe Cordova:
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification. - Wesley J. Maddox, Sanyam Kapoor, Andrew Gordon Wilson:
When are Iterative Gaussian Processes Reliably Accurate? - Jinghui Chen, Yuan Cao, Quanquan Gu:
Benign Overfitting in Adversarially Robust Linear Classification. - Sergey Slavnov:
First order linear logic and tensor type calculus for categorial grammars. - Anubhav Srivastava, Trevor Brown:
Elimination (a, b)-trees with fast, durable updates. - Zuodi Xie, Tieqiang Gang:
Discrete LQR and ILQR methods based on high order Runge-Kutta methods. - Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu:
Echo state graph neural networks with analogue random resistor arrays. - Soheil Zabihi, Elahe Rahimian, Fatemeh Marefat, Amir Asif, Pedram Mohseni, Arash Mohammadi:
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture. - Nguyen Hoang Quan, Nguyen Thanh Dat, Minh Cong Nguyen Hoang, Nguyen Van Vinh, Ngo Thi Vinh, Nguyen Phuong Thai, Tran Hong Viet:
ViNMT: Neural Machine Translation Tookit. - Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki:
Machine Learning Application Development: Practitioners' Insights. - Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang:
Data-Free Knowledge Transfer: A Survey. - Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. - Yabo Guo, Peng Sun, Zhengdao Yuan, Chongwen Huang, Qinghua Guo, Zhongyong Wang, Chau Yuen:
Efficient Channel Estimation for RIS-Aided MIMO Communications with Unitary Approximate Message Passing. - Ehsan Latif, Yikang Gui, Aiman Munir, Ramviyas Parasuraman:
Energy-Aware Multi-Robot Task Allocation in Persistent Tasks. - Han Zhang, Weichong Yin, Yewei Fang, Lanxin Li, Boqiang Duan, Zhihua Wu, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation. - Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. - Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. - Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. - Shaolun Ruan, Yong Wang, Hailong Jiang, Weijia Xu, Qiang Guan:
BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Systems. - Hongyu Zang, Xin Li, Mingzhong Wang:
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning. - Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang:
An Intelligent Self-driving Truck System For Highway Transportation. - Raul Astudillo, Peter I. Frazier:
Bayesian Optimization of Function Networks. - Farley Lai, Asim Kadav, Erik Kruus:
SplitBrain: Hybrid Data and Model Parallel Deep Learning. - Zheng Zhang, Levent Yilmaz, Bo Liu:
A Critical Review of Inductive Logic Programming Techniques for Explainable AI. - Chin-Tung Lin, Mu Yang:
InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer. - Mengqian Zhang, Jichen Li, Zhaohua Chen, Hongyin Chen, Xiaotie Deng:
An Efficient and Robust Committee Structure for Sharding Blockchain. - Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang:
Deconfounded Visual Grounding. - Lei Liu, Shunqi Huang, Brian M. Kurkoski:
Sufficient Statistic Memory AMP. - Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei:
Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation. - Sung Min Park, Kuo-An Wei, Kai Yuanqing Xiao, Jerry Li, Aleksander Madry:
On Distinctive Properties of Universal Perturbations. - Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka:
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract). - Elie Mengin, Fabrice Rossi:
Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing. - Elie Mengin, Fabrice Rossi:
Binary Diffing as a Network Alignment Problem via Belief Propagation. - Trieu Hai Nguyen, Thi-Kim-Ngoan Pham, Thi-Hong-Minh Bui, Thanh-Quynh-Chau Nguyen:
Clustering Vietnamese Conversations From Facebook Page To Build Training Dataset For Chatbot. - Marie Puren, Pierre Vernus:
Towards a Domain Ontology for the Analysis of Ancient Fabrics The SILKNOW Project and the Case of European Silk Heritage. - Xuehui Yu, Di Wu, Qixiang Ye, Jianbin Jiao, Zhenjun Han:
P2P-Loc: Point to Point Tiny Person Localization. - Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis:
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. - Songjie Yang, Zhongpei Zhang, Zhenzhen Hu, Nuan Song, Hao Liu:
Efficient Multi-Beam Training For Terahertz Wireless communications. - Liang Li, Guangzeng Xie:
Complex contraction on trees without proof of correlation decay. - Alberto Bemporad:
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers. - Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan:
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. - Chuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhenwei Dong, Zhihua Wei:
Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation. - Yuhang Jia, Ying Cui, Wuyang Jiang:
Statistical Device Activity Detection for OFDM-based Massive Grant-Free Access. - Xiaoming Zhao, Weihai Chen, Xingming Wu, Peter C. Y. Chen, Zhengguo Li:
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation. - Gaochen Wu, Bin Xu, Yuxin Qin, Yang Liu, Lingyu Liu, Ziwei Wang:
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data. - Xinyi Yu, Ling Yan, Linlin Ou:
Conditional Generative Data-Free Knowledge Distillation based on Attention Transfer. - Madhav Agarwal:
Making AI 'Smart': Bridging AI and Cognitive Science. - Eduard Eiben, Gregory Z. Gutin, Philip R. Neary, Clément Rambaud, Magnus Wahlström, Anders Yeo:
Preference Swaps for the Stable Matching Problem. - Tien Mai, Patrick Jaillet:
Robust Entropy-regularized Markov Decision Processes. - Hoon Hong, Jing Yang:
Subresultant of several univariate polynomials. - Mijeong Kim, Seonguk Seo, Bohyung Han:
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. - Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang:
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. - Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. - Zhengpin Li, Zheng Wei, Jian Wang, Yun Lin, Byonghyo Shim:
Fast Graph Subset Selection Based on G-optimal Design. - Alessandro Cilardo, Marcello Cinque, Luigi De Simone, Nicola Mazzocca:
Virtualization over Multiprocessor System-on-Chip: an Enabling Paradigm for Industrial IoT. - Paola F. Antonietti, Simone Scacchi, Giuseppe Vacca, Marco Verani:
C1-VEM for some variants of the Cahn-Hilliard equation: a numerical exploration. - Xiaoqian Ruan, Gaoang Wang:
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations. - Vassilios A. Dougalis, Ángel Durán, Leetha Saridaki:
Notes on the Boussinesq-Full dispersion systems for internal waves: Numerical solution and solitary waves. - Sean Benhur, Roshan Nayak, Kanchana Sivanraju, Adeep Hande, Subalalitha Chinnaudayar Navaneethakrishnan, Ruba Priyadharshini, Bharathi Raja Chakravarthi:
Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification. - Yalin Wang, Xihan Chen, Yunlong Cai, Benoît Champagne, Lajos Hanzo:
Channel Estimation for Hybrid Massive MIMO Systems with Adaptive-Resolution ADCs. - Thalles Silva, Adín Ramírez Rivera:
Representation Learning via Consistent Assignment of Views to Clusters. - Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). - Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. - Mastane Achab, Gergely Neu:
Robustness and risk management via distributional dynamic programming. - Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu:
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. - Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Deep Facial Synthesis: A New Challenge. - Ismail Sadiq, Erick Andres Perez-Alday, Amit J. Shah, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford:
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models. - Qingyang Yi, Heming Sun, Masahiro Fujita:
FPGA Based Accelerator for Neural Networks Computation with Flexible Pipelining. - Malik Hassanaly, Andrew Glaws, Ryan N. King:
GANISP: a GAN-assisted Importance SPlitting Probability Estimator. - Marcin Pietron, Dominik Zurek:
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. - Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula:
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. - Petr Klán:
On Mathematics of Bubbles in Dynamical Systems. - Song-Kyoo Kim:
Advanced Smart Drone Swarm Security Network by Using Strategic Alliance for Blockchain Governance Game. - Duy-Tho Le, Hengcan Shi, Hamid Rezatofighi, Jianfei Cai:
PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud. - Samuele Bolotta, Guillaume Dumas:
Social Neuro AI: Social Interaction as the "dark matter" of AI. - Yansheng Wu, Chengju Li, Fu Xiao:
Quaternary linear codes and related binary subfield codes. - Wenshuo Guo, Fangwei Fu:
Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes. - Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya:
A Survey on Using Gaze Behaviour for Natural Language Processing. - Dmitri A. Rachkovskij:
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences. - Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, Minsoo Rhu, John Kim, Jung Ho Ahn:
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption. - Rutvik Chauhan, Antarpuneet Singh, Sujoy Saha:
Cloud Removal from Satellite Images. - Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Sven Vagt, Oliver Niggemann:
A Research Agenda for Artificial Intelligence in the Field of Flexible Production Systems. - Chung-Hsuan Tsai, Shi-Chun Tsai, Shih-Kun Huang:
REST API Fuzzing by Coverage Level Guided Blackbox Testing. - Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. - Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. - Meysam Sadeghi, Emil Björnson, Erik G. Larsson, Chau Yuen, Thomas L. Marzetta:
MRT-based Joint Unicast and Multigroup Multicast Transmission in Massive MIMO Systems. - Sucharita Chakraborty, Emil Björnson, Luca Sanguinetti:
Centralized and Distributed Power Allocation for Max-Min Fairness in Cell-Free Massive MIMO. - Ruigang Liang, Ying Cao, Peiwei Hu, Jinwen He, Kai Chen:
Semantics-Recovering Decompilation through Neural Machine Translation. - Kamil Senel, Emil Björnson, Erik G. Larsson:
Human and Machine Type Communications can Coexist in Uplink Massive MIMO Systems. - Kamil Senel, Hei Victor Cheng, Emil Björnson, Erik G. Larsson:
NOMA Versus Massive MIMO in Rayleigh Fading. - Dongge Liu, Van-Thuan Pham, Gidon Ernst, Toby Murray, Benjamin I. P. Rubinstein:
State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing. - Walter Cedric Simo Tao Lee:
A unified framework for the regularization of final value time-fractional diffusion equation. - Jianfeng Xu, Zhenyu Liu, Tao Zheng, Shuliang Wamg, Yingfei Wang, Yashi Wang, Yongjie Qiao:
Structural Model and Mathematical Foundation of Information Space. - Akram Muntaser, Nagi Buaossa:
Coupled Tank Non-linear System; Modeling and Level Control using PID and Fuzzy Logic Techniques. - Xing Wei, Yuanrui Kang, Jihao Yang, Yunfeng Qiu, Dahu Shi, Wenming Tan, Yihong Gong:
Scene-Adaptive Attention Network for Crowd Counting. - Nils Neupärtl, Constantin A. Rothkopf:
Inferring perceptual decision making parameters from behavior in production and reproduction tasks. - Zhilbert Tafa, Veljko Milutinovic:
Machine Learning in Congestion Control: A Survey on Selected Algorithms and a New Roadmap to their Implementation. - Jiri Valusek, Petr Jancar:
Structural Liveness of Immediate Observation Petri Nets. - Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath:
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. - Md. Manjurul Ahsan, Zahed Siddique:
Machine learning based disease diagnosis: A comprehensive review. - Laya Rafiee Sevyeri, Thomas Fevens:
on the effectiveness of generative adversarial network on anomaly detection. - Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni:
OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies. - Kazuki Irie, Jürgen Schmidhuber:
Training and Generating Neural Networks in Compressed Weight Space. - George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao:
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. - Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
Improving Baselines in the Wild. - Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Guanghua Yang:
Non-Linear Age of Information: An Energy Efficient Receiver-Centric Approach. - Yiju Yang, Tianxiao Zhang, Guanyu Li, Taejoon Kim, Guanghui Wang:
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training. - Jungwon Lim, Yonghwi Jin, Mansour Alharthi, Xiaokuan Zhang, Jinho Jung, Rajat Gupta, Kuilin Li, Daehee Jang, Taesoo Kim:
SOK: On the Analysis of Web Browser Security. - Rohit Bhat, Shranav Palakurthi, Naman Tiwari:
In Lieu of Privacy: Anonymous Contact Tracing. - Thibault Lahire:
Actor Loss of Soft Actor Critic Explained. - Sílvia Casacuberta, Esra Suel, Seth R. Flaxman:
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability. - Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. - Jakob Heiss, Josef Teichmann, Hanna Wutte:
Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes - an exact quantitative macroscopic characterization. - Samin Yeasar Arnob, Riashat Islam, Doina Precup:
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning. - Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Doina Precup:
Single-Shot Pruning for Offline Reinforcement Learning. - Xingbang Cui, Liping Zhang:
Computing the dominant eigenpair of an essentially nonnegative tensor via a homotopy method. - Shashank Ranjan, Corey Toler-Franklin:
3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials. - Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang:
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. - Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov:
Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements. - Jessica Craven, Mark Hughes, Vishnu Jejjala, Arjun Kar:
Learning knot invariants across dimensions. - Lukas Burgholzer, Sarah Schneider, Robert Wille:
Limiting the Search Space in Optimal Quantum Circuit Mapping. - Danny Nam, Allan Sly, Youngtak Sohn:
One-step replica symmetry breaking of random regular NAE-SAT II. - Tiago P. Peixoto:
Descriptive vs. inferential community detection: pitfalls, myths and half-truths. - Marco Maronese, Lorenzo Moro, Lorenzo Rocutto, Enrico Prati:
Quantum Compiling. - Othmane Mounjid, Xin Guo:
Convergence of GANs Training: A Game and Stochastic Control Methodology. - N. Karjanto:
Harmonic numbers as the summation of integrals. - Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén:
Distributed Forward-Backward Methods without Central Coordination. - Sascha Kurz, Dani Samaniego:
A note on simple games with two equivalence classes of players. - David A. Quiroga, Prasanna Date, Raphael C. Pooser:
Discriminating Quantum States with Quantum Machine Learning. - Shunan Yao, Bradley Rava, Xin Tong, Gareth James:
Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm. - Wei-Cheng Tseng, Po-Han Chi, Jia-Hua Wu, Min Sun:
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction. - Alexey Lindo, Theodore Papamarkou, Serik Sagitov, Laura Stewart:
Mixed neural network Gaussian processes. - Victor Kozyakin:
Non-Sturmian sequences of matrices providing the maximum growth rate of matrix products. - Titouan Vayer, Rémi Gribonval:
Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning. - Nicolai Vorobjov:
Lecture notes on complexity of quantifier elimination over the reals. - Shi-Yang Chen, Heng-Tong Ding, Fei-Yi Liu, Gabor Papp, Chun-Bin Yang:
Machine learning Hadron Spectral Functions in Lattice QCD. - Philipp G. Haselwarter, Andrej Bauer:
Finitary type theories with and without contexts. - Seid Koudia, Angela Sara Cacciapuoti, Marcello Caleffi:
(Causal)-Activation of Complex Entanglement Structures in Quantum Networks. - E. L. Mahdi Khribch, George Deligiannidis, Daniel Paulin:
On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework. - Chenlin Gu, Wei Wu, Kuan Yang:
Uniqueness for the q-state antiferromagnetic Potts model on the regular tree. - Charvi Vitthal, Shreeharsha B. S, Kamini Sabu, Preeti Rao:
Predicting lexical skills from oral reading with acoustic measures. - Mark Tygert:
Controlling for multiple covariates. - Zhuangzhuang Dai, Yuhang He, Tran Vu, Niki Trigoni, Andrew Markham:
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks. - Ulrich Bauer, Håvard Bakke Bjerkevik, Benedikt Fluhr:
Quasi-universality of Reeb graph distances. - Di Luo, James Halverson:
Infinite Neural Network Quantum States. - (Withdrawn) Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism.
- Yanjie Zhu, Haoxiang Li, Yuanyuan Liu, Muzi Guo, Guanxun Cheng, Gang Yang, Haifeng Wang, Dong Liang:
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning. - Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. - Katharina Zühlsdorff, Clayton M. Rabideau:
Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans. - Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian Giacomo Guerreschi, Shannon K. McWeeney:
Biology and medicine in the landscape of quantum advantages. - Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean:
Quantum advantage in learning from experiments. - Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic:
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels. - Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean:
Revisiting dequantization and quantum advantage in learning tasks. - Vladimir Kostic, Saverio Salzo, Massimiliano Pontil:
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport. - Stephon Alexander, Sarah Bawabe, Batia Friedman-Shaw, Michael W. Toomey:
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist. - Qin Lu, Georgios B. Giannakis:
Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes. - Nikola Janjusevic, Amirhossein Khalilian-Gourtani, Yao Wang:
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing. - Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey:
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR. - Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey:
A Mixture of Expert Based Deep Neural Network for Improved ASR. - Masoumeh Hashemi, Roland Herzog, Thomas M. Surowiec:
Optimal Control of the Kirchhoff Equation. - Attila Szolnoki, Xiaojie Chen:
Tactical cooperation of defectors in a multi-stage public goods game. - Markus Chimani, Martina Juhnke-Kubitzke, Alexander Nover:
On the Dominant of the Multicut Polytope. - Ankit Garg, Robin Kothari, Praneeth Netrapalli, Suhail Sherif:
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness. - Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink:
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. - Xingfu Li, Guihai Yu, Aleksandar Ilic, Sandi Klavzar:
On the computational complexity of the Steiner k-eccentricity. - Shujian Liao, Jian Chen, Hao Ni:
Forex Trading Volatility Prediction using Neural Network Models. - Harshini Mangipudi, Griffin Mooers, Mike Pritchard, Tom Beucler, Stephan Mandt:
Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs. - Sihao Cheng, Brice Ménard:
How to quantify fields or textures? A guide to the scattering transform. - Maria Wimmer, Gert Sluiter, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Katja Bühler:
Multi-task fusion for improving mammography screening data classification. - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai:
A modified limited memory Nesterov's accelerated quasi-Newton. - Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota:
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. - Luciano da F. Costa:
The Classic Cross-Correlation and the Real-Valued Jaccard and Coincidence Indices. - Luben M. C. Cabezas, Rafael Izbicki, Rafael Bassi Stern:
Hierarchical clustering: visualization, feature importance and model selection. - Sergei Manzhos, Manabu Ihara:
On the optimization of hyperparameters in Gaussian process regression. - Konrad Menzel:
Structural Sieves. - André Chailloux, Yann Barsamian:
Relativistic zero-knowledge protocol for NP over the internet unconditionally secure against quantum adversaries. - Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel:
Generalizing Off-Policy Learning under Sample Selection Bias. - Zhibin Zhao, Darcy Murphy, Hugh Gifford, Stefan Williams, Annie Darlington, Samuel D. Relton, Hui Fang, David C. Wong:
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs. - Pierpaolo Vendittelli, Esther M. M. Smeets, Geert Litjens:
Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas. - Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler:
Learning to automate cryo-electron microscopy data collection with Ptolemy. - Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon:
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images. - Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler:
Dimension-Free Average Treatment Effect Inference with Deep Neural Networks. - Masha Naslidnyk, Javier Gonzalez, Maren Mahsereci:
Invariant Priors for Bayesian Quadrature. - Sam Foreman, Xiao-Yong Jin, James C. Osborn:
LeapfrogLayers: A Trainable Framework for Effective Topological Sampling. - Mehmet Yigit Avci, Ziyu Li, Qiuyun Fan, Susie Yi Huang, Berkin Bilgic, Qiyuan Tian:
Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI. - Ville Kinnula, Jing Tang, Ali Amiryousefi:
Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability. - Maliha Hossain, Balasubramanya T. Nadiga, Oleg Korobkin, Marc Louis Klasky, Jennifer L. Schei, Joshua W. Burby, Michael T. McCann, Trevor Wilcox, Soumi De, Charles A. Bouman:
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. - Yukai Zou, Ikbeom Jang:
Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging. - Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese:
Data-enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions. - Ryo Karakida, Shotaro Akaho:
Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting. - Xun Gao, Marcin Kalinowski, Chi-Ning Chou, Mikhail D. Lukin, Boaz Barak, Soonwon Choi:
Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage. - Michele Dall'Arno, Francesco Buscemi, Takeshi Koshiba:
Classical computation of quantum guesswork. - Stefan Steinerberger, Hau-Tieng Wu:
Fundamental component enhancement via adaptive nonlinear activation functions. - Devin C. Jean, Suk Jai Seo:
Fault-tolerant Identifying Codes in Special Classes of Graphs. - Ryouichi Furukawa, Kazuhiro Hotta:
Localized Feature Aggregation Module for Semantic Segmentation. - Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang:
Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays. - Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu:
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. - Chengze Jiang, Long Jin, Xiuchun Xiao:
Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization. - Tae Jun Jang, Hye Sun Yun, Jong-Eun Kim, Sang-Hwy Lee, Jin Keun Seo:
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification. - Maryam Kiashemshaki, Zhiren Huang, Jari Saramäki:
Mobility signatures: a tool for characterizing cities using intercity mobility flows. - Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas K. Maier:
Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. - Patrick Cheridito, Balint Gersey:
Computation of conditional expectations with guarantees. - Neil Dhir:
Chronological Causal Bandits. - Gábor Damásdi, Dömötör Pálvölgyi:
Three-chromatic geometric hypergraphs. - Roberto Daluiso, Emanuele Nastasi, Andrea Pallavicini, Stefano Polo:
Reinforcement learning for options on target volatility funds. - Sridhar Mahadevan:
Causal Homotopy. - Peter Georg, Nils Meyer, Stefan Solbrig, Tilo Wettig:
Grid on QPACE 4. - Xiaoyu Fu, Yuan Gao, Qingmei Zhao:
Matlab program method of computing Carleman estimates and applications. - Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. - Ali Amiryousefi, Ville Kinnula, Jing Tang:
Bayes in Wonderland! Predictive supervised classification inference hits unpredictability. - Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin M. Nagel, Andreas K. Maier:
Towards Super-Resolution CEST MRI for Visualization of Small Structures. - Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi:
Near-optimal estimation of smooth transport maps with kernel sums-of-squares. - Luca Santoro, Matteo Nardello, Davide Brunelli, Daniele Fontanelli:
Scale up to infinity: the UWB Indoor Global Positioning System. - Hanxun Jin, Rodney J. Clifton, Kyung-Suk Kim:
Dynamic fracture of a bicontinuously nanostructured copolymer: A deep learning analysis of big-data-generating experiment. - Grace W. Lindsay, Josh Merel, Tom Mrsic-Flogel, Maneesh Sahani:
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning. - Adam Bouland, Tudor Giurgica-Tiron:
Efficient Universal Quantum Compilation: An Inverse-free Solovay-Kitaev Algorithm. - Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier M. Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark S. Neubauer, Isobel Ojalvo, Savannah Thais:
Graph Neural Networks for Charged Particle Tracking on FPGAs. - Oleg E. Kalashev, I. Kharuk, M. Yu Kuznetsov, Grigory I. Rubtsov, T. Sako, Yoshiki Tsunesada, Y. V. Zhezher:
Identifying mass composition of ultra-high-energy cosmic rays using deep learning. - Konstantin Mishchenko:
Regularized Newton Method with Global O(1/k2) Convergence. - Francisco Caio Lima Paiva, Leonardo Kanashiro Felizardo, Reinaldo Augusto da Costa Bianchi, Anna Helena Reali Costa:
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach. - Anfu Tang, Claire Nédellec, Pierre Zweigenbaum, Louise Deléger, Robert Bossy:
Global alignment for relation extraction in Microbiology. - Tristan M. Gottschalk, Andreas K. Maier, Florian Kordon, Björn W. Kreher:
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT - An Investigation of Potential Improvement. - Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation with Enforced Temporal Consistency. - Boram Yoon, Chia-Cheng Chang, Garrett T. Kenyon, Nga T. T. Nguyen, Ermal Rrapaj:
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer. - Jeremy Avigad, Seulkee Baek, Alexander Bentkamp, Marijn Heule, Wojciech Nawrocki:
An Impossible Asylum. - Peter Moses, Dan Reznik:
Hexagonal Flanks, Confocal Parabolas, and a Focal Equilateral. - Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon John Christoph Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
Bridging the gap between prostate radiology and pathology through machine learning. - Heinz H. Bauschke, Manish Krishan Lal, Xianfu Wang:
Projections onto hyperbolas or bilinear constraint sets in Hilbert spaces. - Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. - Nazar Emirov, Guohui Song, Qiyu Sun:
A Divide-and-Conquer Algorithm for Distributed Optimization on Networks. - Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad:
Data Fusion with Latent Map Gaussian Processes. - Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. - Feng Xu, Chuang Zhu, Wenqi Tang, Ying Wang, Yu Zhang, Jie Li, Hongchuan Jiang, Zhongyue Shi, Jun Liu, Mulan Jin:
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. - Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan W. P. Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler:
Artificial Intelligence and Machine Learning in Nuclear Physics. - Marthe Bonamy, Vincent Delecroix, Clément Legrand-Duchesne:
Kempe changes in degenerate graphs. - Tomás Gonda:
Resource Theories as Quantale Modules. - Zoltán Kása:
Order in the chaos with examples from graph theory. - Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos:
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. - Jacob Fox, János Pach, Andrew Suk:
Quasiplanar graphs, string graphs, and the Erdős-Gallai problem. - Amila Sudu Ambegedara, Indika Gayani Kumari Udagedara:
A Different Cell Size Approach to Fast Full-Waveform Inversion of Seismic Data. - Jean-Camille Birget, Alexey L. Talambutsa:
The symmetric Post Correspondence Problem, and errata for the freeness problem for matrix semigroups. - Fang Han, Zhen Miao, Yandi Shen:
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance. - Hitendra Singh Bhadouria, Krishan Kumar, Aman Swaraj, Karan Verma, Arshpreet Kaur, Shasvat Sharma, Ghanshyam Singh, Ashok Kumar, Leandro Melo de Sales:
Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation. - Yichi Zhang, Qingcheng Liao, Rushi Jiao, Jicong Zhang:
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation. - Masheal Alghamdi, Qiang Fu, Ali K. Thabet, Wolfgang Heidrich:
Snapshot HDR Video Construction Using Coded Mask. - Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Tei Wang, Shih-Hau Fang, Yu Tsao:
Toward Real-World Pathological Voice Detection. - Ronaldo Garcia, Dan Reznik, Pedro Roitman:
Discovering new Properties and Invariants of Harmonic Polygons. - Claudia Drygala, Benjamin Winhart, Francesca di Mare, Hanno Gottschalk:
Generative Modeling of Turbulence. - Yu Ge, Yibo Wu, Fan Jiang, Ossi Kaltiokallio, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch:
Iterated Posterior Linearization PMB Filter for 5G SLAM. - Hanyuan Hang:
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning. - Yangming Li, Neeraja Konuthula, Ian M. Humphreys, Kris S. Moe, Blake Hannaford, Randall A. Bly:
Real-time Virtual Intraoperative CT for Image Guided Surgery. - Adam Brown, Ondrej Draganov:
Computing Minimal Injective Resolutions of Sheaves on Finite Posets. - Jacek Gosciniak:
Ultra-compact nonvolatile plasmonic phase change modulators and switches with dual electrical-optical functionality. - Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. - Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li:
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. - Yunxiang Zhang, Xiangyu Zhang, Peter I. Frazier:
Two-step Lookahead Bayesian Optimization with Inequality Constraints. - Hui Zeng, Morteza Darvish Morshedi Hosseini, Kang Deng, Anjie Peng, Miroslav Goljan:
A comparison study of CNN denoisers on PRNU extraction. - Florencia Canelli, Annapaola de Cosa, Luc Le Pottier, Jeremi Niedziela, Kevin Pedro, Maurizio Pierini:
Autoencoders for Semivisible Jet Detection. - Qiming Shao, Zhongrui Wang, Yan Zhou, Shunsuke Fukami, Damien Querlioz, J. Joshua Yang, Yiran Chen, Leon O. Chua:
Spintronic memristors for computing. - Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert:
Joint Learning of Localized Representations from Medical Images and Reports. - Vera Chekan, Torsten Ueckerdt:
Polychromatic Colorings of Unions of Geometric Hypergraphs. - Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, Jong Chul Ye:
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN. - Christian J. Steinmetz, Joshua D. Reiss:
Steerable discovery of neural audio effects. - Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel:
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. - Wangkun Jia, Ming-C. Cheng:
A Methodology for Thermal Simulation of Interconnects Enabled by Model Reduction with Material Property Variation. - Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. - Takato Yasuno, Masazumi Amakata, Junichiro Fujii, Masahiro Okano, Riku Ogata:
L2-norm Ensemble Regression with Ocean Feature Weights by Analyzed Images for Flood Inflow Forecast. - Ik Soo Lim, Valerio Capraro:
A Synergy of Institutional Incentives and Networked Structures in Evolutionary Game Dynamics of Multi-agent Systems. - Andrej Rode, Benedikt Geiger, Laurent Schmalen:
Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. - Niloy Biswas, Lester Mackey:
Bounding Wasserstein distance with couplings. - Javier de Frutos, Víctor Gatón, Julia Novo:
On Discrete-Time Approximations to Infinite Horizon Differential Games. - Mayukh Mukhopadhyay, Kaushik Ghosh:
Market Microstructure of Non Fungible Tokens. - Kumar Yashaswi:
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting. - Quentin Rebjock, Baris Kurt, Tim Januschowski, Laurent Callot:
Online false discovery rate control for anomaly detection in time series. - Niko Plath, Rolf Bader:
Piano Timbre Development Analysis using Machine Learning. - Simon Linke, Rolf Bader, Robert Mores:
Modeling synchronization in human musical rhythms using Impulse Pattern Formulation (IPF). - Mihir Rao:
Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma. - Oluwaseun Oladimeji, Álvaro Ortega, Lukas Sigrist, Pedro Sanchez-Martin, Enrique Lobato, Luis Rouco:
Modeling Demand Flexibility of RES-based Virtual Power Plants. - Xuesong Wang, Zhihang Hu, Tingyang Yu, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li:
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration. - Sankaran Iyer, Alan Blair, Laughlin Dawes, Daniel Aaron Moses, Christopher White, Arcot Sowmya:
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. - Elena Williams, Sebastian Niehaus, Janis Reinelt, Alberto Merola, Paul Glad Mihai, Ingo Roeder, Nico Scherf, Maria del C. Valdés Hernández:
Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. - Pawel Pratyush, Akshata Gangrade:
Automation Of Transiting Exoplanet Detection, Identification and Habitability Assessment Using Machine Learning Approaches. - M. Vimal, Stefan Sandfeld, A. Prakash:
Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis. - Qing Zou, Luis A. Torres, Sean B. Fain, Nara S. Higano, Alister J. Bates, Mathews Jacob:
Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM). - Aaron Goldsmith:
A Proof of the Simplex Mean Width Conjecture. - Brayan Ortiz, Amitabh Sinha:
Using Image Transformations to Learn Network Structure. - Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan:
Robust Speech Representation Learning via Flow-based Embedding Regularization. - André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla:
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. - Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition. - Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg:
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models. - Jeffmin Lin, Gil Goldshlager, Lin Lin:
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation. - Nima Eshraghi, Ben Liang:
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information. - Tomoharu Iwata, Yuya Yoshikawa:
Training Deep Models to be Explained with Fewer Examples. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
Constrained Resource Allocation Problems in Communications: An Information-assisted Approach. - Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Physics guided deep learning generative models for crystal materials discovery. - Yi Luo:
A Time-domain Generalized Wiener Filter for Multi-channel Speech Separation. - Binglu Wang, Chengzhe Lu, Dawei Yan, Yongqiang Zhao:
Learning Pixel-Adaptive Weights for Portrait Photo Retouching. - Pravesh K. Kothari, Pasin Manurangsi, Ameya Velingker:
Private Robust Estimation by Stabilizing Convex Relaxations. - Lars Ole Schwen, Daniela Schacherer, Christian Geißler, André Homeyer:
Evaluating Generic Auto-ML Tools for Computational Pathology. - Ying Zhu:
Bless and curse of smoothness and phase transitions in nonparametric regressions: a nonasymptotic perspective. - Federico Milano, Georgios Tzounas, Ioannis Dassios, Taulant Kerci:
Applications of the Frenet Frame to Electric Circuits. - Aritra Sarkar, Zaid Al-Ars, Harshitta Gandhi, Koen Bertels:
QKSA: Quantum Knowledge Seeking Agent - resource-optimized reinforcement learning using quantum process tomography. - Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. - Akifumi Okuno, Keisuke Yano:
A generalization gap estimation for overparameterized models via Langevin functional variance. - Chuang Zhu, Wenkai Chen, Ting Peng, Ying Wang, Mulan Jin:
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification. - Kwanyoung Kim, Taesung Kwon, Jong Chul Ye:
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. - Ishat Raihan Jamil, Mayeesha Humaira:
Modeling and Predicting Blood Flow Characteristics through Double Stenosed Artery from CFD simulation using Deep Learning Models. - Antoni Buades, Jose Luis Lisani, Onofre Martorell:
Efficient joint noise removal and multi exposure fusion. - Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao:
Image Compressed Sensing Using Non-local Neural Network. - Hajime Tanaka, Mohamed Sabri, Renato Portugal:
Spatial Search on Johnson Graphs by Discrete-Time Quantum Walk. - Chin-Yun Yu, Kin Wai Cheuk:
Danna-Sep: Unite to separate them all. - Najiya Fatma, Varun Ramamohan:
Outpatient Diversion using Real-Time Length-of-Stay Predictions. - Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic:
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting. - Domonkos F. Vamossy, Rolf Skog:
EmTract: Investor Emotions and Market Behavior. - Zitha Sasindran, Raghavendra Rao Suresh, Pooja Rao, T. V. Prabhakar:
Training end-to-end speech-to-text models on mobile phones. - Yuanlu Bai, Henry Lam, Svitlana Vyetrenko, Tucker Balch:
Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization. - Michal Baczyk, Ghislain Fourny:
Nashian game theory is incompatible with quantum contextuality. - Saeedeh Rezaee, Nezam Mahdavi-Amiri:
Image Enhancement via Bilateral Learning. - Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang, Youjia Zhou:
Hypergraph Co-Optimal Transport: Metric and Categorical Properties. - Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters:
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. - Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert:
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. - Narinder Singh Punn, Sonali Agarwal:
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. - Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid, Duong Thu Hang Pham, Tran Quoc Vinh Nguyen:
Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction. - Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi:
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
A deep learning model for data-driven discovery of functional connectivity. - João Vilela, Bruno Fanzeres, Rafael Martinelli, Claudio Contardo:
Efficient labeling algorithms for adjacent quadratic shortest paths. - Rosie Cane, Daryus Chandra, Soon Xin Ng, Lajos Hanzo:
Experimental Characterization of Fault-Tolerant Circuits in Small-Scale Quantum Processors. - Han Wang, James Anderson:
Learning Linear Models Using Distributed Iterative Hessian Sketching. - Fernando J. Galetto, Guang Deng:
Reverse image filtering using total derivative approximation and accelerated gradient descent. - Abhayjeet Singh, Achuth Rao M. V, Rakesh Vaideeswaran, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
A study on native American English speech recognition by Indian listeners with varying word familiarity level. - Sang Hyun Park, Byoungnam Kim, Dong Ku Kim, Linglong Dai, Kai-Kit Wong, Chan-Byoung Chae:
Beam Squint in Ultra-wideband mmWave Systems: RF Lens Array vs. Phase-Shifter-Based Array. - Arindam Dutta, Anirban Pathak:
A short review on quantum identity authentication protocols: How would Bob know that he is talking with Alice? - Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. - Peter J. Baddoo, Benjamin Herrmann, Beverley J. McKeon, J. Nathan Kutz, Steven L. Brunton:
Physics-informed dynamic mode decomposition (piDMD). - Yu Wang, Alfred O. Hero III:
Multiway Ensemble Kalman Filter. - Ramji Venkataramanan, Kevin Kögler, Marco Mondelli:
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing. - Javier Ureña-Carrion, Petri Leskinen, Jouni Tuominen, Charles van den Heuvel, Eero Hyvönen, Mikko Kivelä:
Communication Now and Then: Analyzing the Republic of Letters as a Communication Network. - Ali Riza Durmaz, Erik Natkowski, Nikolai Arnaudov, Petra Sonnweber-Ribic, Stefan Weihe, Sebastian Münstermann, Chris Eberl, Peter Gumbsch:
Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models. - Maria Carvalho, Cláudia Soares, Pedro Lourenço, Rodrigo M. M. Ventura:
COSMIC: fast closed-form identification from large-scale data for LTV systems. - Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. - Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou:
Which images to label for few-shot medical landmark detection? - Narad Rampersad:
The periodic complexity function of the Thue-Morse word and the Rudin-Shapiro word. - Antti Valmari, Lauri Hella:
A Completeness Proof for A Regular Predicate Logic with Undefined Truth Value. - Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan:
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. - Lijia Zhou, Frederic Koehler, Danica J. Sutherland, Nathan Srebro:
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression. - Ke Li, Yongsheng Yao:
Reliable Simulation of Quantum Channels. - Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham, Ha Q. Nguyen:
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms. - Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu:
Revisiting Global Statistics Aggregation for Improving Image Restoration. - Meiqi Hu, Chen Wu, Bo Du, Liangpei Zhang:
Binary Change Guided Hyperspectral Multiclass Change Detection. - Jean-Rassaire Fouefack, Bhushan Borotikar, Marcel Lüthi, Tania S. Douglas, Valérie Burdin, Tinashe E. M. Mutsvangwa:
Dynamic multi feature-class Gaussian process models. - Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. - James Halverson:
Building Quantum Field Theories Out of Neurons. - Ben M. Hambly, Renyuan Xu, Huining Yang:
Recent Advances in Reinforcement Learning in Finance. - Imran Bashir, Dirk Leipold, Elena Blokhina, Mike Asker, David Redmond, Ali Esmailiyan, Panagiotis Giounanlis, Hans Haenlein, Xuton Wu, Andrii Sokolov, Dennis Andrade-Miceli, Robert Bogdan Staszewski:
Monolithic Integration of Quantum Resonant Tunneling Gate on a 22nm FD-SOI CMOS Process. - Seyed Naser Hosseini, Amir R. Shir Ali Nasab, Walter Tholen, Leila Yeganeh:
Quotients of span categories that are allegories and the representation of regular categories. - Shuwen Yang, Ziyao Li, Guojie Song, Lingsheng Cai:
Deep Molecular Representation Learning via Fusing Physical and Chemical Information. - Huan Minh Luu, Sung-Hong Park:
Extending nn-UNet for brain tumor segmentation. - Wei Ju, Wenxin Jiang:
A Note on Comparison of F-measures. - Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu:
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI. - Uta Pigorsch, Sebastian Schäfer:
High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning. - João P. Moutinho, André Melo, Bruno C. Coutinho, István A. Kovács, Yasser Omar:
Quantum Link Prediction in Complex Networks. - Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li:
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. - Yang Xue, Zijing Liu, Xiaomin Fang, Fan Wang:
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction. - Raphael Sonabend, Andreas Bender, Sebastian J. Vollmer:
Evaluation of survival distribution predictions with discrimination measures. - Nagashree K. S. Rao, Nils Peters:
On The Effect Of Coding Artifacts On Acoustic Scene Classification. - Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai:
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. - Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Evaluating saliency methods on artificial data with different background types. - Christis Katsouris:
Forecast Evaluation in Large Cross-Sections of Realized Volatility. - Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. - Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. - Jarred Barber, Yifeng Fan, Tao Zhang:
End-to-end Alexa Device Arbitration. - Yasong Feng, Weiguo Gao:
A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective. - Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof:
Measuring Wind Turbine Health Using Drifting Concepts. - Bahareh Tolooshams, Kazuhito Koishida:
A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks. - Guilherme Zucatelli, Rosangela Coelho:
Harmonic and non-Harmonic Based Noisy Reverberant Speech Enhancement in Time Domain. - Deniz A. Bezgin, Aaron B. Buhendwa, Nikolaus A. Adams:
A fully-differentiable compressible high-order computational fluid dynamics solver. - Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. - Wenrui Li, Gregery T. Buzzard, Charles A. Bouman:
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection. - Cheng-Chao Huang:
Explicit Bounds for Linear Forms in the Exponentials of Algebraic Numbers. - Misa Ogura, Matt Haynes:
X-Vector based voice activity detection for multi-genre broadcast speech-to-text. - John W. Pearson, Andreas Potschka:
A Preconditioned Inexact Active-Set Method for Large-Scale Nonlinear Optimal Control Problems. - James Davies, Chaya Keller, Linda Kleist, Shakhar Smorodinsky, Bartosz Walczak:
A solution to Ringel's circle problem. - Martin Bråtelund:
Critical configurations for two projective views, a new approach. - Yu Zhao, Shang Xiang, Long Li:
Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method. - Reinhard Heckel:
Provable Continual Learning via Sketched Jacobian Approximations. - Eugène Ndiaye, Ichiro Takeuchi:
Continuation Path with Linear Convergence Rate. - Wei Deng, Yi-An Ma, Zhao Song, Qian Zhang, Guang Lin:
On Convergence of Federated Averaging Langevin Dynamics. - Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero III:
Fair Structure Learning in Heterogeneous Graphical Models. - Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. - Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. - Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. - Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang:
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring. - Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ilse Slootweg, Maarten de Rooij, Henkjan Huisman:
Report-Guided Automatic Lesion Annotation for Deep Learning-Based Prostate Cancer Detection in bpMRI. - Kunping Yang, Xin-Yi Tong, Gui-Song Xia, Weiming Shen, Liangpei Zhang:
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images. - Haley M. So, Julien N. P. Martel, Piotr Dudek, Gordon Wetzstein:
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. - Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan:
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning. - Burim Ramosaj, Justus Tulowietzki, Markus Pauly:
On the Relation between Prediction and Imputation Accuracy under Missing Covariates. - Faisal Amlani, Heng Wei, Niema M. Pahlevan:
A new pseudo-spectral methodology without numerical diffusion for conducting dye simulations and particle residence time calculations. - Heng Wei, Faisal Amlani, Niema M. Pahlevan:
Direct 0D-3D coupling of a lattice Boltzmann methodology for fluid-structure hemodynamics simulations. - Manan Gupta, Ian P. Roberts, Jeffrey G. Andrews:
System-Level Analysis of Full-Duplex Self-Backhauled Millimeter Wave Networks. - Naoki Masuda, Christian L. Vestergaard:
Gillespie algorithms for stochastic multiagent dynamics in populations and network. - Yong Lee, Fuqiang Gu, Zeyu Gong:
Surrogate-based cross-correlation for particle image velocimetry. - Yuto Miyatake, Tomohiro Sogabe:
Adaptive projected SOR algorithms for nonnegative quadratic programming. - James S. K. Tee, Desmond P. Taylor:
Where is Memory Information Stored in the Brain? - Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. - Martin Bråtelund:
Critical configurations for three projective views. - Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces. - Dileep Kumar, Onel L. Alcaraz López, Satya Krishna Joshi, Antti Tölli:
Latency-Aware Multi-antenna SWIPT System with Battery-Constrained Receivers. - Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis:
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution. - Vyacheslav A. Artamonov, Sucheta Chakrabarti, Sharwan K. Tiwari, V. T. Markov:
Algebraic Properties of Subquasigroups and Construction of Cryptographically Suitable Finite Quasigroups. - Marc Hellmuth, Guillaume E. Scholz:
Pseudo-Cographs, Polar-Cats and Level-1 Network Explainable Graphs. - Oscar Domínguez, Andreas Seeger, Brian Street, Jean Van Schaftingen, Po-Lam Yung:
Spaces of Besov-Sobolev type and a problem on nonlinear approximation. - Bhupalee Kalita, Kieron Burke:
Using Machine Learning to Find New Density Functionals. - Christophe Andrieu, Anthony Lee, Sam Power, Andi Q. Wang:
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC. - Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad:
Sequential Motifs in Observed Walks. - Axel Ringh, Isabel Haasler, Yongxin Chen, Johan Karlsson:
Graph-structured tensor optimization for nonlinear density control and mean field games. - Markus Pohlmann, Frank Werner, Axel Munk:
Minimax detection of localized signals in statistical inverse problems. - Suraj Shankar, Vidya Raju, L. Mahadevan:
Optimal transport and control of active drops. - Yicheng Hsu, Yonghan Lee, Mingsian R. Bai:
Learning-based personal speech enhancement for teleconferencing by exploiting spatial-spectral features. - Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin:
unrolling palm for sparse semi-blind source separation. - Sneha Dasgupta, Rishav Mukherjee, Kaushik Dutta, Anindya Sen:
Deep Learning based Framework for Automatic Diagnosis of Glaucoma based on analysis of Focal Notching in the Optic Nerve Head. - Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. - Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister:
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. - Ming Yu, Shuyun Wang, Cui-Hong Xue, Yingchun Guo, Gang Yan:
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution. - Ying-Tian Liu, Yuan-Chen Guo, Song-Hai Zhang:
Enhancing Multi-Scale Implicit Learning in Image Super-Resolution with Integrated Positional Encoding. - Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. - Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen:
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. - Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler:
Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks. - Esther Ye, Samuel Yen-Chi Chen:
Quantum Architecture Search via Continual Reinforcement Learning. - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. - (Withdrawn) Encoding priors in the brain: a reinforcement learning model for mouse decision making.
- Unchitta Kan, Michelle Feng, Mason A. Porter:
An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks. - Rohit Paturi, Sundararajan Srinivasan, Katrin Kirchhoff:
Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech. - David H. Wolpert, Michael H. Price, Stefani A. Crabtree, Timothy A. Kohler, Jürgen Jost, James Evans, Peter F. Stadler, Hajime Shimao, Manfred D. Laubichler:
The Past as a Stochastic Process. - Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard:
Distributed Graph Learning with Smooth Data Priors. - Liang Ding, Rui Tuo, Shahin Shahrampour:
A Sparse Expansion For Deep Gaussian Processes. - Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen:
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT. - Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits. - Pio Ong, Beatrice Capelli, Lorenzo Sabattini, Jorge Cortés:
Nonsmooth Control Barrier Function Design of Continuous Constraints for Network Connectivity Maintenance. - Xiaoliang Li:
Analysis of stability and bifurcation for two heterogeneous triopoly games with the isoelastic demand. - Alexander Dubbs:
Test Set Sizing Via Random Matrix Theory. - Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin:
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. - Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Optimization of Residual Convolutional Neural Network for Electrocardiogram Classification. - Hemanth Pasupuleti, G. N. Girish:
Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans. - Sebastian Pardo G., Gabriel A. Silva:
Information entropy re-defined in a category theory context using preradicals. - Jennifer Williams, Leila Wehbe:
Behavior measures are predicted by how information is encoded in an individual's brain. - Rohit Chatterjee, Kai-Min Chung, Xiao Liang, Giulio Malavolta:
A Note on the Post-Quantum Security of (Ring) Signatures. - Paulo C. Marques F.:
Confidence intervals for the random forest generalization error. - Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov subsampling based Huber Criterion. - Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu:
Semi-supervised teacher-student deep neural network for materials discovery. - (Withdrawn) Two New Stenosis Detection Methods of Coronary Angiograms.
- Andre Esser, Sergi Ramos-Calderer, Emanuele Bellini, José I. Latorre, Marc Manzano:
An Optimized Quantum Implementation of ISD on Scalable Quantum Resources. - Muhammed O. Sayin, K. Alperen Cetiner:
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games. - Alper Emin Cetinkaya, Murat Akin, Seref Sagiroglu:
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation. - Lingxiao Wang, Shuzhe Shi, Kai Zhou:
Automatic differentiation approach for reconstructing spectral functions with neural networks. - Zoran Krunic, Frederik F. Flöther, George Seegan, Nathan Earnest-Noble, Omar Shehab:
Quantum kernels for real-world predictions based on electronic health records. - Zilong Chen, Yaling Liang, Minghui Du:
Attention based Broadly Self-guided Network for Low light Image Enhancement. - Jing Fu, Xinyu Wang, Zengfu Wang, Moshe Zukerman:
A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms. - Michael C. Wigal, Youngho Yoo, Xingxing Yu:
Approximating TSP walks in subcubic graphs. - Martí Renedo-Mirambell, Argimiro Arratia:
Identifying bias in cluster quality metrics. - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gamifying optimization: a Wasserstein distance-based analysis of human search. - Therese Biedl, Karthik Murali:
Computing the vertex connectivity of a locally maximal 1-plane graph in linear time. - Alexander I. Barvinok, Mark Rudelson:
A quick estimate for the volume of a polyhedron. - Peter Bradshaw, Tomás Masarík:
Single-conflict colorings of degenerate graphs. - Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim:
DPICT: Deep Progressive Image Compression Using Trit-Planes. - Clément Maria, Owen Rouillé:
Computing complete hyperbolic structures on cusped 3-manifolds. - Karun Adusumilli:
Risk and optimal policies in bandit experiments. - Tomoyuki Morimae, Takashi Yamakawa:
Quantum commitments and signatures without one-way functions. - (Withdrawn) How Good are Low-Rank Approximations in Gaussian Process Regression?
- Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. - Gi-Hwan Shin, Young-Seok Kweon:
Differential EEG Characteristics during Working Memory Encoding and Re-encoding. - Andrea Behanova, Ali Abdollahzadeh, Ilya Belevich, Eija Jokitalo, Alejandra Sierra, Jussi Tohka:
gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy. - Dylan Solms:
Solving the non-preemptive two queue polling model with generally distributed service and switch-over durations and Poisson arrivals as a Semi-Markov Decision Process. - Anna Lopatnikova, Minh-Ngoc Tran:
An Introduction to Quantum Computing for Statisticians. - Yongcheng Ding, Xi Chen, Rafael Magdalena Benedicto, José D. Martín-Guerrero:
Quantum Stream Learning. - E. Kogan, Arkadiy Skopenkov:
Embeddings of k-complexes in 2k-manifolds and minimum rank of partial symmetric matrices. - Vinod Bajaj, Mathieu Chagnon, Sander Wahls, Vahid Aref:
Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks. - Jun Lu:
On the Column and Row Ranks of a Matrix. - Serafim Batzoglou:
Goedel's Incompleteness Theorem. - Soumyajit Chatterjee, Arun Singh, Bivas Mitra, Sandip Chakraborty:
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure. - Cédric Allain, Alexandre Gramfort, Thomas Moreau, A. Preprint:
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals. - Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. - Fei Wang, Xilei Wu, Xin Wang, Jianlei Chi, Jingang Shi, Dong Huang:
You Can Wash Better: Daily Handwashing Assessment with Smartwatches. - Anna Pappa, Niklas Pirnay, Jean-Pierre Seifert:
Learning Classical Readout Quantum PUFs based on single-qubit gates. - Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost:
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. - Liyi Li, Finn Voichick, Kesha Hietala, Yuxiang Peng, Xiaodi Wu, Michael Hicks:
Verified Compilation of Quantum Oracles. - Patrick Selig, Niall Murphy, Ashwin Sundareswaran R, David Redmond, Simon Caton:
A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning. - Andrea Tirelli, Danyella O. Carvalho, Lucas A. Oliveira, J. P. Lima, Natanael C. Costa, Raimundo R. dos Santos:
Unsupervised machine learning approaches to the q-state Potts model. - Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo:
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. - Xinjun Zhu, Zhiqiang Han, Mengkai Yuan, Qinghua Guo, Hongyi Wang:
Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection. - Xuan Ma, Jianhua Zhao, Yue Wang:
Robust factored principal component analysis for matrix-valued outlier accommodation and detection. - Ulrich Bauer, Fabian Roll:
Gromov hyperbolicity, geodesic defect, and apparent pairs in Vietoris-Rips filtrations. - Felix Wagner:
Nonlinear pile-up separation with LSTM neural networks for cryogenic particle detectors. - Katharina Immel, Vu-Hieu Nguyen, Guillaume Haiat, Roger Andrew Sauer:
Modeling the debonding process of osseointegrated implants due to coupled adhesion and friction. - Matt Wilson, Augustin Vanrietvelde:
Composable constraints. - Magnus Wiese, Ben Wood, Alexandre Pachoud, Ralf Korn, Hans Buehler, Phillip Murray, Lianjun Bai:
Multi-Asset Spot and Option Market Simulation. - Yunpeng Li, Zhaohui Ye:
Boosting Independent Component Analysis. - Sven Brüggemann, Robert R. Bitmead:
Control-Oriented Modeling of Pipe Flow through Intersecting Pipe Geometries. - Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Anna Mancini, Antonio Desiderio, Riccardo Di Clemente, Giulio Cimini:
Self-induced emergence of consensus in social networks: Reddit and the GameStop short squeeze. - Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn:
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. - Tim Dockhorn, Arash Vahdat, Karsten Kreis:
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. - Rodney Van Meter, Ryosuke Satoh, Naphan Benchasattabuse, Takaaki Matsuo, Michal Hajdusek, Takahiko Satoh, Shota Nagayama, Shigeya Suzuki:
A Quantum Internet Architecture. - Ryosuke Satoh, Michal Hajdusek, Naphan Benchasattabuse, Shota Nagayama, Kentaro Teramoto, Takaaki Matsuo, Sara Ayman Metwalli, Takahiko Satoh, Shigeya Suzuki, Rodney Van Meter:
QuISP: a Quantum Internet Simulation Package. - Julianna Antonchuk, Benjamin Prescott, Philip Melanchthon, Robin Singh:
COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks. - Riddhiman Bhattacharya:
Non Asymptotic Bounds for Optimization via Online Multiplicative Stochastic Gradient Descent. - Enrique Otárola:
Semilinear optimal control with Dirac measures. - Shun Terasaki, Kazuhiro Sato:
Minimal controllability problem on linear structural descriptor systems with forbidden nodes. - Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel:
ImportantAug: a data augmentation agent for speech. - Navneeth Ramakrishnan, Marco Tomamichel, Mario Berta:
Moderate deviation expansion for fully quantum tasks. - Shota Nagayama:
Towards End-to-End Error Management for a Quantum Internet. - S. Arthi, Thippur V. Sreenivas:
Spatiogram: A phase based directional angular measure and perceptual weighting for ensemble source width. - Sotaro Katayama, Toshiyuki Ohtsuka:
Structure-Exploiting Newton-Type Method for Optimal Control of Switched Systems. - Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging. - Keqi Deng, Songjun Cao, Yike Zhang, Long Ma:
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model. - Mourad El Hamri, Younès Bennani, Issam Falih:
Inductive Semi-supervised Learning Through Optimal Transport. - Louis Balzer, Ludovic Leclercq:
Modal equilibrium of a tradable credit scheme with a trip-based MFD and logit-based decision-making. - Jorge Neves, Maria Vaz Pinto:
Parameterized codes over graphs. - Matias Pizarro, Dorothea Kolossa, Asja Fischer:
Robustifying automatic speech recognition by extracting slowly varying features. - Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. - Robert B. Gramacy, Annie Sauer, Nathan Wycoff:
Triangulation candidates for Bayesian optimization. - Andrew Butler, Roy H. Kwon:
Efficient differentiable quadratic programming layers: an ADMM approach. - Wouter Jongeneel:
Imaginary Zeroth-Order Optimization. - Ramin Javadi, Ali Momeni:
The Game of Cops and Robber on (Claw, Even-hole)-free Graphs. - Daniel Schaudt, Christopher Kloth, Christian Spaete, Andreas Hinteregger, Meinrad Beer, Reinhold von Schwerin:
Improving COVID-19 CXR Detection with Synthetic Data Augmentation. - Akash Gupta, Anirudh Reddy, C. V. Jawahar, P. K. Vinod:
Classification of histopathology images using ConvNets to detect Lupus Nephritis. - Anastasios Tsiamis, Dionysios S. Kalogerias, Alejandro Ribeiro, George J. Pappas:
Linear Quadratic Control with Risk Constraints. - Hugo Lhachemi:
Local Output Feedback Stabilization of a Nonlinear Kuramoto-Sivashinsky equation. - Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor:
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze. - Zelin Ye, Min Chen:
Visualizing Ensemble Predictions of Music Mood. - Benjamin Blanchette, Thomas Brüstle, Eric J. Hanson:
Homological approximations in persistence theory. - Asad Khan, Eliu A. Huerta:
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. - Sean Craven, Djuna Croon, Daniel Cutting, Rachel Houtz:
Machine learning a manifold. - Jeffrey A. Ruffolo, Jeffrey J. Gray, Jeremias Sulam:
Deciphering antibody affinity maturation with language models and weakly supervised learning. - Yujia Ding, Qidi Peng, Zhengming Song, Hansen Chen:
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net. - Qiyuan Fu, Chen Li:
Snake robot traversing large obstacles using vertical bending with force feedback. - Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li:
Communication-Efficient Distributed SGD with Compressed Sensing. - Ratan Othayoth, Blake Strebel, Yuanfeng Han, Evains Francois, Chen Li:
A terrain treadmill to study animal locomotion through large obstacles. - Fei Chen, Gene Cheung, Xue Zhang:
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding. - Min-Gang Zhou, Xiao-Yu Cao, Yu-Shuo Lu, Yang Wang, Yu Bao, Zhao-Ying Jia, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Experimental quantum advantage with quantum coupon collector. - Youzi He, Hongyu Liu, Xianchao Wang:
Invisibility enables super-visibility in electromagnetic imaging. - Berken Utku Demirel, Islam Abdelsalam Bayoumy, Mohammad Abdullah Al Faruque:
Energy-Efficient Real-Time Heart Monitoring on Edge-Fog-Cloud Internet-of-Medical-Things. - Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell:
Domain-informed neural networks for interaction localization within astroparticle experiments. - Fabian Brand, Jürgen Seiler, André Kaup:
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression. - Antoine Girardin, Nicolas Brunner, Tamás Kriváchy:
Building separable approximations for quantum states via neural networks. - Olof Zetterqvist, Rebecka Jörnsten, Johan Jonasson:
Robust Neural Network Classification via Double Regularization. - Ricarda-Samantha Götte, Julia Timmermann:
Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. - Markus Faustmann, Carlo Marcati, Jens Markus Melenk, Christoph Schwab:
Weighted analytic regularity for the integral fractional Laplacian in polygons. - Christopher Yacoumatos, Stefano Bragaglia, Anshul Kanakia, Nils Svangård, Jonathan Mangion, Claire Donoghue, James Weatherall, Faisal M. Khan, Khader Shameer:
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials. - Davide Aloini, Andrea Fronzetti Colladon, Peter A. Gloor, E. Guerrazzi, Alessandro Stefanini:
Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers. - Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta:
Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization. - Riccardo Sven Risuleo:
On the optimal consensus of crab submarines in one dimension. - Zhiqi Lee, Sumin Qi, Chongchong Fan, Ziwei Xie:
RA V-Net: Deep learning network for automated liver segmentation. - Marina Fernández-Campoamor, Corey O'Meara, Giorgio Cortiana, Vedran Peric, Juan Bernabé-Moreno:
Community Detection in Electrical Grids Using Quantum Annealing. - Ruiwei Feng, Yufeng Xie, Minshan Lai, Danny Z. Chen, Ji Cao, Jian Wu:
AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks. - Gregory J. Loges, Gary Shiu:
Breeding realistic D-brane models. - Brian Flynn, Antonio Andrea Gentile, Nathan Wiebe, Raffaele Santagati, Anthony Laing:
Quantum Model Learning Agent: characterisation of quantum systems through machine learning. - Yiwen Chen, Gabriel Jarry-Bolduc, Warren L. Hare:
Error Analysis of Surrogate Models Constructed through Operations on Sub-models. - Andreas Gerhardus:
Characterization of causal ancestral graphs for time series with latent confounders. - Daochen Wang, Aarthi Sundaram, Robin Kothari, Ashish Kapoor, Martin Roetteler:
Quantum Algorithms for Reinforcement Learning with a Generative Model. - Oswin Aichholzer, Johannes Obenaus, Joachim Orthaber, Rosna Paul, Patrick Schnider, Raphael Steiner, Tim Taubner, Birgit Vogtenhuber:
Edge Partitions of Complete Geometric Graphs (Part 2). - Tiziana Calamoneri, Angelo Monti, Blerina Sinaimeri:
On Generalizations of Pairwise Compatibility Graphs. - Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Fractional cyber-neural systems - a brief survey. - Jirawat Tangpanitanon, Chanatip Mangkang, Pradeep Bhadola, Yuichiro Minato, Dimitris G. Angelakis, Thiparat Chotibut:
Explainable Natural Language Processing with Matrix Product States. - Yufu Niu, Samuel J. Jackson, Naif Alqahtani, Peyman Mostaghimi, Ryan T. Armstrong:
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution. - Ivan Yu. Mogilnykh:
q-ary Propelinear Perfect Codes from the Regular Subgroups of the GA(r, q) and Their Ranks. - Nannan Zou, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Adaptation and Attention for Neural Video Coding. - Chengyi Wang, Yu Wu, Sanyuan Chen, Shujie Liu, Jinyu Li, Yao Qian, Zhenglu Yang:
Self-Supervised Learning for speech recognition with Intermediate layer supervision. - Ferdinando Zullo:
Multi-Sidon spaces over finite fields. - Maik Röper, Bho Matthiesen, Dirk Wübben, Petar Popovski, Armin Dekorsy:
Beamspace MIMO for Satellite Swarms. - Samvel Kh. Darbinyan, Gregory Z. Gutin:
On d-panconnected tournaments with large semidegrees. - Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof:
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. - Titouan Lorieul, Alexis Joly, Dennis E. Shasha:
Classification Under Ambiguity: When Is Average-K Better Than Top-K? - Dhrumil Patel, Patrick J. Coles, Mark M. Wilde:
Variational Quantum Algorithms for Semidefinite Programming. - Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference. - K. I. Kholodkov, I. M. Aleshin, S. D. Ivanov:
BitTorrent is Apt for Geophysical Data Collection and Distribution. - Moritz Lehmann, Mathias J. Krause, Giorgio Amati, Marcello Sega, Jens Harting, Stephan Gekle:
On the accuracy and performance of the lattice Boltzmann method with 64-bit, 32-bit and novel 16-bit number formats. - Sung Hwan Mun, Min Hyun Han, Dongjune Lee, Jihwan Kim, Nam Soo Kim:
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification. - Diego Goldsztajn, Sem C. Borst, Johan S. H. van Leeuwaarden:
Utility maximizing load balancing policies. - Dominik Thalmeier, Gregor Miller, Elida Schneltzer, Anja Hurt, Martin Hrabé de Angelis, Lore Becker, Christian L. Müller, Holger Maier:
Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches. - Lucy Pu, Syed F. Ashraf, Naciye Sinem Gezer, Iclal Ocak, Rajeev Dhupar:
Automated segmentation of 3-D body composition on computed tomography. - Camila González, Christian Harder, Amin Ranem, Ricarda Fischbach, Isabel Kaltenborn, Armin Dadras, Andreas Bucher, Anirban Mukhopadhyay:
Quality monitoring of federated Covid-19 lesion segmentation. - Vinayak Agarwal, Maddie Cusimano, James Traer, Josh H. McDermott:
Object-based synthesis of scraping and rolling sounds based on non-linear physical constraints. - Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin, Jeffrey H. Reed:
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges. - Qinkai Chen, Christian-Yann Robert:
Multivariate Realized Volatility Forecasting with Graph Neural Network. - Adam G. M. Lewis, Jackson Beall, Martin Ganahl, Markus Hauru, Shrestha Basu Mallick, Guifre Vidal:
Large Scale Distributed Linear Algebra With Tensor Processing Units. - Dameli Assalauova, Alexandr Ignatenko, Fabian Isensee, Sergey A. Bobkov, Darya Trofimova, Ivan A. Vartanyants:
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers. - Enrico Giudice, Jack Kuipers, Giusi Moffa:
The Dual PC Algorithm for Structure Learning. - Erin G. Teich, Jason Z. Kim, Christopher W. Lynn, Samantha C. Simon, Andrei A. Klishin, Karol P. Szymula, Pragya Srivastava, Lee C. Bassett, Perry Zurn, Jordan D. Dworkin, Danielle S. Bassett:
Citation inequity and gendered citation practices in contemporary physics. - Bernard Benson, Edward Brown, Stefano Bonasera, Giacomo Acciarini, Jorge A. Pérez-Hernández, Eric Sutton, Moriba K. Jah, Christopher Bridges, Meng Jin, Atilim Günes Baydin:
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles. - Alberto Bracci, Jörn Boehnke, Abeer ElBahrawy, Nicola Perra, Alexander Teytelboym, Andrea Baronchelli:
Macroscopic properties of buyer-seller networks in online marketplaces. - Natalia Mikula, Tom Dörffel, Daniel Baum, Hans-Christian Hege:
An Interactive Approach for Identifying Structure Definitions. - Aly Sabri Abdalla, Andrew L. Yingst, Keith Powell, Antoni Gelonch Bosch, Vuk Marojevic:
Open-Source Software Radio Platform for Research on Cellular Networked UAVs - It Works! - Chinazunwa Uwaoma:
Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors. - Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP, Mohanasankar Sivaprakasam:
A Deep Learning Based Multitask Network for Respiration Rate Estimation - A Practical Perspective. - Pau Ferrer-Cid, Julio Garcia-Calvete, Aina Main-Nadal, Zhe Ye, José M. Barceló-Ordinas, Jorge García-Vidal:
Sensor Sampling Trade-Offs for Air Quality Monitoring With Low-Cost Sensors. - Liren Lin, Chih-Wei Chen:
A new locally linear embedding scheme in light of Hessian eigenmap. - Per Berglund, Ben Campbell, Vishnu Jejjala:
Machine Learning Kreuzer-Skarke Calabi-Yau Threefolds. - Raunak Dey, Wenbo Sun, Haibo Xu, Yi Hong:
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network. - Shubhanshu Shekhar, Aaditya Ramdas:
Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests. - Jacek Gosciniak:
Nonvolatile plasmonics based on optically reprogrammable phase change materials. - Kang Zheng, Yirui Wang, Chen-I Hsieh, Le Lu, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis. - Garvit Goel, Jingyuan Qi, Wu-chun Feng, Guohua Cao:
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy. - Fritz M. Bayer, Giusi Moffa, Niko Beerenwinkel, Jack Kuipers:
Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference. - Uzi Pereg, Christian Deppe, Holger Boche:
Communication with Unreliable Entanglement Assistance. - Izhak Elmaleh, Ohad N. Feldheim:
Min-cost-flow preserving bijection between subgraphs and orientations. - Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, Denis Kouamé:
A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory. - Feiran Zhao, Xingyun Fu, Keyou You:
Learning Stabilizing Controllers of Linear Systems via Discount Policy Gradient. - Dong-Sheng Wang:
A prototypical model of universal quantum computer system. - Justyna P. Zwolak, Jacob M. Taylor:
Colloquium: Advances in automation of quantum dot devices control. - Martino Lovisetto, Didier Clamond, Bruno Marcos:
Optimized integrating factor technique for Schrödinger-like equations. - Tal Mor, Roman Shapira, Guy Shemesh:
Digital signatures with Quantum Candies. - A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries: A Benchmark Study. - Rongrong Xie, Matteo Marsili:
A random energy approach to deep learning. - Steven Vander Eeckt, Hugo Van hamme:
Continual Learning for Monolingual End-to-End Automatic Speech Recognition. - Romuald Elie, Caroline Hillairet, François Hu, Marc Juillard:
An overview of active learning methods for insurance with fairness appreciation. - Stephan Dahlke, Cornelia Schneider:
Anisotropic Besov regularity of parabolic PDEs. - Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot:
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. - Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Correlated Product of Experts for Sparse Gaussian Process Regression. - Mustafa Akin Yilmaz, Ahmet Murat Tekalp:
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression. - Qian Chen, Haoxin Bai, Bingchen Che, Tianyun Zhao, Ce Zhang, Kaige Wang, Jintao Bai, Wei Zhao:
Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network. - Thinh T. Doan:
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. - Khashayar Barooti, Grzegorz Gluch, Rüdiger L. Urbanke:
Provable Adversarial Robustness in the Quantum Model. - Leonie Henschel, David Kügler, Martin Reuter:
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods - A Solution for HighRes Brain MRI. - Arnulf Jentzen, Adrian Riekert:
On the existence of global minima and convergence analyses for gradient descent methods in the training of deep neural networks. - Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert:
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. - Hossein Teimoori Faal:
On Clique Roots of Flat Graphs. - Yiyuan She, Jiahui Shen, Chao Zhang:
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction. - Wei-Ting Chiu, Pei Wang, Patrick Shafto:
Probabilistic Inverse Optimal Transport. - Stéphane Samson, Etienne Lord, Vladimir Makarenkov:
SimPlot++: a Python application for representing sequence similarity and detecting recombination. - Bingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas:
Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction. - Tomas Cicchini, Sofia Morena del Pozo, Enzo Tagliazucchi, Pablo Balenzuela:
News-sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization. - Saeed Saremi, Rupesh Kumar Srivastava:
Multimeasurement Generative Models. - Tao Shan, Zhichao Lin, Xiaoqian Song, Maokun Li, Fan Yang, Shenheng Xu:
Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases. - Vinayak Pachkawade, Zion Tse:
MEMS Sensor for Detection and Measurement of Ultra-Fine Particles: A Review. - Amir Chizfahm, R. Jaiman:
Deep Learning for Stability Analysis of a Freely Vibrating Sphere at Moderate Reynolds Number. - Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick:
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. - Yang Li, Gonzalo Mateos, Zhengwu Zhang:
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. - Guilherme Ramos, A. Pedro Aguiar, Soummya Kar, Sérgio Pequito:
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation. - Michael J. A. Girard, Satish Kumar Panda, Tin Aung Tun, Elisabeth A. Wibroe, Raymond P. Najjar, Aung Tin, Alexandre H. Thiéry, Steffen Hamann, Clare Fraser, Dan Milea:
3D Structural Analysis of the Optic Nerve Head to Robustly Discriminate Between Papilledema and Optic Disc Drusen. - Vishwa S. Parekh, Shuhao Lai, Vladimir Braverman, Jeff Leal, Steven Rowe, Jay J. Pillai, Michael A. Jacobs:
Cross-Domain Federated Learning in Medical Imaging. - Prabhanjan Ananth, Luowen Qian, Henry Yuen:
Cryptography from Pseudorandom Quantum States. - Ahmet Orun, Luke Vella Critien, Jennifer Carter, Martin Stacey:
Supervised laser-speckle image sampling of skin tissue to detect very early stage of diabetes by its effects on skin subcellular properties. - Zihao Wei, Yidong Huang, Yuang Chen, Chenhao Zheng, Jinnan Gao:
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators. - Atul Sharma, Pranjal Jain, Ashraf Mahgoub, Zihan Zhou, Kanak Mahadik, Somali Chaterji:
Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing. - Sien Chen, Jian Jin, Lili Meng, Weisi Lin, Zhuo Chen, Tsui-Shan Chang, Zhengguang Li, Huaxiang Zhang:
A New Image Codec Paradigm for Human and Machine Uses. - Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Leandro da S. Aguiar, Luis F. M. Borelli, José Antônio Roversi, Antonio Vidiella-Barranco:
Performance analysis of continuous-variable quantum key distribution using non-Gaussian states. - Torsten A. Enßlin:
Information Field Theory as Artificial Intelligence. - Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen:
RELAX: Representation Learning Explainability. - Elizaveta Gres, Alexander Kryukov:
The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks. - Anna Vlaskina, Alexander Kryukov:
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks. - Yang Tai, Yu-Wen Fang, Fang-Yi Su, Jung-Hsien Chiang:
A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph. - Ilya Sklyar, Anna Piunova, Xianrui Zheng, Yulan Liu:
Multi-turn RNN-T for streaming recognition of multi-party speech. - Pietro Torta, Glen B. Mbeng, Carlo Baldassi, Riccardo Zecchina, Giuseppe E. Santoro:
Quantum Approximate Optimization Algorithm applied to the binary perceptron. - Eugène Ndiaye:
Stable Conformal Prediction Sets. - Nóra Frankl, Andrey Kupavskii:
On the Erdős-Purdy problem and the Zarankiewitz problem for semialgebraic graphs. - Jirí Mazurek, Konrad Kulakowski:
On the Derivation of Weights from Incomplete Pairwise Comparisons Matrices via Spanning Trees with Crisp and Fuzzy Confidence Levels. - Corentin Briat, Christoph Zechner, Mustafa Khammash:
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation. - Tobias Boege, Sonja Petrovic, Bernd Sturmfels:
Marginal Independence Models. - Redha Ali, Hussin K. Ragb:
Skin lesion segmentation and classification using deep learning and handcrafted features. - Erika Antonette T. Enriquez, Renier G. Mendoza, Arrianne Crystal T. Velasco:
Philippine Eagle Optimization Algorithm. - Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. - Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han:
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. - Rongjie Huang, Feiyang Chen, Yi Ren, Jinglin Liu, Chenye Cui, Zhou Zhao:
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus. - Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan:
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images. - Luc Pronzato, Anatoly Zhigljavsky:
Quasi-uniform designs with optimal and near-optimal uniformity constant. - Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte:
Model-based Clustering with Missing Not At Random Data. - Francesco Ferrante, Frédéric Gouaisbaut, Sophie Tarbouriech:
On sensor quantization in linear control systems: Krasovskii solutions meet semidefinite programming. - Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. - Aleksandr N. Grekov, Nikolay A. Grekov, Evgeniy Sychov:
Measuring Salinity and Density of Seawater Samples with Different Salt Compositions and Suspended Materials. - Shinji Nishioka, Takehisa Hasegawa:
Cascading behavior of an extended Watts model on networks. - Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo:
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. - Raphael Seidel, Nikolay Tcholtchev, Sebastian Bock, Colin Kai-Uwe Becker, Manfred Hauswirth:
Efficient Floating Point Arithmetic for Quantum Computers. - Kaiwei Zhang:
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution. - Danica Basaric, Eduard Feireisl, Mária Lukácová-Medvidová, Hana Mizerová, Yuhuan Yuan:
Penalization method for the Navier-Stokes-Fourier system. - Jürgen Lerner, Alessandro Lomi:
Relational hyperevent models for polyadic interaction networks. - Azadeh Khaleghi, Lukas Zierahn:
PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series. - Eduard Gorbunov:
Distributed and Stochastic Optimization Methods with Gradient Compression and Local Steps. - Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. - Carl-Fredrik Nyberg-Brodda:
On the Word Problem for Free Products of Semigroups and Monoids. - Thien Nguyen, Dmitry I. Lyakh, Raphael C. Pooser, Travis S. Humble, Timothy Proctor, Mohan Sarovar:
Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler. - Boyuan Chen, Kuang Huang, Sunand Raghupathi, Ishaan Chandratreya, Qiang Du, Hod Lipson:
Discovering State Variables Hidden in Experimental Data. - Meirui Jiang, Zirui Wang, Qi Dou:
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. - Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim:
Machine learning discovery of new phases in programmable quantum simulator snapshots. - Francesca Mignacco, Pierfrancesco Urbani:
The effective noise of Stochastic Gradient Descent. - Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut:
Calabi-Yau Metrics, Energy Functionals and Machine-Learning. - Yalan Song, Chaopeng Shen, Xiaofeng Liu:
Surrogate Model for Shallow Water Equations Solvers with Deep Learning. - Jeroen van de Graaf:
A fast recurrence for Fibonacci and Lucas numbers. - Sinho Chewi:
The entropic barrier is n-self-concordant. - Melikasadat Emami, Dung N. Tran, Kazuhito Koishida:
Augmented Contrastive Self-Supervised Learning for Audio Invariant Representations. - Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Joint Learning of Linear Time-Invariant Dynamical Systems. - Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang:
Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. - Charbel Habchi, Mohammad Khalid Jawed:
Ballooning in Spiders using Multiple Silk Threads. - Emerson Melo:
Learning in Random Utility Models Via Online Decision Problems. - Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan:
Efficient Quantum Network Communication using Optimized Entanglement-Swapping Trees. - Hung-Hsu Chou, Johannes Maly, Holger Rauhut:
More is Less: Inducing Sparsity via Overparameterization. - Tariq Mahmood Khan, Syed Saud Naqvi, Erik Meijering:
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation. - Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. - Andrea Tirelli, Giacomo Tenti, Kousuke Nakano, Sandro Sorella:
High pressure hydrogen by machine learning and quantum Monte Carlo. - Philipp A. Guth, Claudia Schillings, Simon Weissmann:
A General Framework for Machine Learning based Optimization Under Uncertainty. - Ying Wai Lee:
Optimal Gap Sequences in Shellsort for n≤6 Elements. - Akshat Kumar, Mohan Sarovar:
Manifold learning via quantum dynamics. - Yuan-Mei Xie, Chen-Xun Weng, Yu-Shuo Lu, Yao Fu, Yang Wang, Hua-Lei Yin, Zeng-Bing Chen:
Scalable High-Rate Twin-Field Quantum Key Distribution Networks without Constraint of Probability and Intensity. - James Rains, Jalil Ur Rehman Kazim, Anvar Tukmanov, Tie Jun Cui, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran:
High-Resolution Programmable Scattering for Wireless Coverage Enhancement: An Indoor Field Trial Campaign. - Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas, Fernando Morgado Dias, Antonio G. Ravelo-García:
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG. - Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang:
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. - Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh:
Preserving gauge invariance in neural networks. - Jaehoon Kim, Hong Liu, Tuan Tran:
Exponential decay of intersection volume with applications on list-decodability and Gilbert-Varshamov type bound. - Iasson Karafyllis, Miroslav Krstic:
ISS-Based Robustness to Various Neglected Damping Mechanisms for the 1-D Wave PDE. - Arthur Grundner, Tom Beucler, Fernando Iglesias-Suarez, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring:
Deep Learning Based Cloud Cover Parameterization for ICON. - Johannes Markert, Stefanie Walch, Gregor Gassner:
A Discontinuous Galerkin Solver in the FLASH Multi-Physics Framework. - Kazuhiro Fujita:
Physics-informed neural network method for modelling beam-wall interactions. - Tongyang Xu:
Waveform-Defined Security: A Low-Cost Framework for Secure Communications. - Vincent Duval, Robert Tovey:
Dynamical Programming for off-the-grid dynamic Inverse Problems. - Érick Oliveira Rodrigues, Felipe Fernandes Cordeiro de Morais, N. A. O. S. Morais, L. S. Conci, L. V. Neto, Aura Conci:
A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography. - Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar:
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks. - Tongyang Xu:
Waveform-Defined Privacy: A Signal Solution to Protect Wireless Sensing. - Brian Kim, Tugba Erpek, Yalin E. Sagduyu, Sennur Ulukus:
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. - Jacob Dorn, Kevin Guo, Nathan Kallus:
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding. - Alessandro Felisi, Luca Rondi:
Full discretization and regularization for the Calderón problem. - Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth:
The Phonetic Footprint of Parkinson's Disease. - Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt, Guy van der Sande:
Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning. - Vemund Fredriksen, Svein Ole M. Svele, André Pedersen, Thomas Langø, Gabriel Kiss, Frank Lindseth:
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation. - Ivan S. Maksymov, Andrey Pototsky, Sergey A. Suslov:
Neural Echo State Network using oscillations of gas bubbles in water: Computational validation by Mackey-Glass time series forecasting. - Konstantin T. Matchev, Katia Matcheva, Alexander Roman:
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression. - Sunbochen Tang, Nan Li, Robert A. E. Zidek, Ilya V. Kolmanovsky:
Continuous Optimization-Based Drift Counteraction Optimal Control: A Spacecraft Attitude Control Case Study. - Yuan-Mei Xie, Yu-Shuo Lu, Chen-Xun Weng, Xiao-Yu Cao, Zhao-Ying Jia, Yu Bao, Yang Wang, Yao Fu, Hua-Lei Yin, Zeng-Bing Chen:
Breaking the Rate-Loss Relationship of Quantum Key Distribution with Asynchronous Two-Photon Interference. - Sebastián Pinto, Marcos Trevisan, Pablo Balenzuela:
Reconstructing public engagement from social media content volume. - Victor Vikram Odouard, Diana Smirnova, Shimon Edelman:
Polarize, Catalyze, Stabilize: Conscience and the evolution of cooperation. - Ebrahim Ardeshir-Larijani:
Parametrized Complexity of Quantum Inspired Algorithms. - Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin:
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning. - Nicola Parolini, Luca Dedè, Giovanni Ardenghi, Alfio Quarteroni:
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model. - Trung Vu, Raviv Raich:
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. - Illia Horenko:
Robust learning of data anomalies with analytically-solvable entropic outlier sparsification. - Vito Napolitano, Olga Polverino, Paolo Santonastaso, Ferdinando Zullo:
Two pointsets in PG(2, qn) and the associated codes. - Giuseppe Di Molfetta:
Quantum walks, limits and transport equations. - Tobias Hülser, Felix Köster, Lina Jaurigue, Kathy Lüdge:
The role of delay-times in delay-based Photonic Reservoir Computing. - Yixing Huang, Christoph Bert, Philipp Sommer, Benjamin Frey, Udo Gaipl, Luitpold V. Distel, Thomas Weissmann, Michael Uder, Manuel A. Schmidt, Arnd Dörfler, Andreas K. Maier, Rainer Fietkau, Florian Putz:
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. - Gianluca Frison, Jonathan Frey, Florian Messerer, Andrea Zanelli, Moritz Diehl:
Introducing the quadratically-constrained quadratic programming framework in HPIPM. - Steve Oudot, Luis Scoccola:
On the stability of multigraded Betti numbers and Hilbert functions. - Sander Tonkens, Paul de Klaver, Mauro Salazar:
Optimizing Vaccine Allocation Strategies in Pandemic Outbreaks: An Optimal Control Approach. - Qingfeng Lan:
Variational Quantum Soft Actor-Critic. - Saddam Hijazi, Melina A. Freitag, Niels Landwehr:
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. - Sarika Mishra, Ayan Biswas, Satyajeet Patil, Pooja Chandravanshi, Vardaan Mongia, Tanya Sharma, Anju Rani, Shashi Prabhakar, Ravindra Pratap Singh:
BBM92 quantum key distribution over a free space dusty channel of 200 meters. - Pegah Pournajafi, Nicolas Trotignon:
Burling graphs revisited, part III: Applications to χ-boundedness. - Roozbeh Yousefzadeh:
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods. - Daniel Panario, Lucas Pandolfo Perin, Brett Stevens:
Comparing balanced Zv-sequences obtained from ElGamal function to random balanced sequences. - Yuan Chiang, Wei-Han Hui, Shu-Wei Chang:
Encoding protein dynamic information in graph representation for functional residue identification. - Kenneth Johnson, Samaneh Madanian, Roopak Sinha:
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. - Mohammad Zarei, Mojtaba Maghrebi:
Investigating Opinion Dynamics Models in Agent-Based Simulation of Energy Eco-Feedback Programs. - Afshin Jafari, Dhirendra Singh, Alan Both, Mahsa Abdollahyar, Lucy Gunn, Steve Pemberton, Billie Giles-Corti:
Activity-based and agent-based Transport model of Melbourne (AToM): an open multi-modal transport simulation model for Greater Melbourne. - Bevan I. Smith, Charles Chimedza:
Predicting treatment effects from observational studies using machine learning methods: A simulation study. - Puhan Zhang, Gia-Wei Chern:
Machine learning nonequilibrium electron forces for adiabatic spin dynamics. - Sriram Bhyravarapu, Subrahmanyam Kalyanasundaram, Rogers Mathew:
Conflict-free coloring on open neighborhoods of claw-free graphs. - Han Cheng Lie, Daniel Rudolf, Björn Sprungk, Timothy John Sullivan:
Dimension-independent Markov chain Monte Carlo on the sphere. - Martin Jankowiak, Du Phan:
Surrogate Likelihoods for Variational Annealed Importance Sampling. - Hannah Amelie Earley:
On the performance and programming of reversible molecular computers. - Arash Tavassoli, Andrei Smolyakov, Magdi Shoucri, Raymond J. Spiteri:
Nonlinear regimes of the electron cyclotron drift instability in Vlasov simulations. - Arnold D. Kim, Chrysoula Tsogka:
High-resolution, quantitative signal subspace imaging for synthetic aperture radar. - Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo:
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction. - Viktoriya Petrakova, Olga Krivorotko:
Mean field game for modeling of COVID-19 spread. - Xiucai Ding, Thomas Trogdon:
A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory. - Navjot Singh, Xuanyu Cao, Suhas N. Diggavi, Tamer Basar:
Decentralized Multi-Task Stochastic Optimization With Compressed Communications. - Haihong E, Jiawen He, Tianyi Hu, Lifei Wang, Lifei Yuan, Ruru Zhang, Meina Song:
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD. - Zhihao Ge, Wenlong He:
Well-posedness of weak solution for a nonlinear poroelasticity model. - Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Stephan J. Eidenbenz:
A Divide-and-Conquer Approach to Dicke State Preparation. - Ken Kobayashi, Yuichi Takano, Kazuhide Nakata:
Cardinality-constrained Distributionally Robust Portfolio Optimization. - Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh:
Generalization capabilities of neural networks in lattice applications. - Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-supervised Representation Learning of Neuronal Morphologies. - Srinath Bulusu, Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh:
Equivariance and generalization in neural networks. - Xiaotong Ni, Hui-Hai Zhao, Lei Wang, Feng Wu, Jianxin Chen:
Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework. - Frank Schlosser, Vedran Sekara, Dirk Brockmann, Manuel García-Herranz:
Biases in human mobility data impact epidemic modeling. - Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon:
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. - Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - Philipp Petersen, Felix Voigtländer:
Optimal learning of high-dimensional classification problems using deep neural networks. - Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko:
On the relationship between calibrated predictors and unbiased volume estimation. - Junde Li, Swaroop Ghosh:
Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery. - Valentin Vielzeuf, Grigory Antipov:
Are E2E ASR models ready for an industrial usage? - Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - Xiang-Ke Chang:
Hermite-Padé approximations with Pfaffian structures: Novikov peakon equation and integrable lattices. - Victor H. R. Oliveira, Augusto Antunes, Alexandre S. Soares, Arthur D. Reys, Robson Z. Júnior, Saulo D. S. Pedro, Danilo Silva:
Predição da Idade Cerebral a partir de Imagens de Ressonância Magnética utilizando Redes Neurais Convolucionais. - Bin Xie, Qing Zhang:
Deep Filtering with DNN, CNN and RNN. - Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images. - Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. - Sergey Goncharov, Dirk Hofmann, Pedro Nora, Lutz Schröder, Paul Wild:
A Point-free Perspective on Lax extensions and Predicate liftings. - Arash Tavassoli, Oleksandr Chapurin, Marilyn Jimenez, Mina Papahn Zadeh, Trevor Zinte, Meghraj Sengupta, Lénaïc Couëdel, Raymond J. Spiteri, Magdi Shoucri, Andrei Smolyakov:
The role of noise in PIC and Vlasov simulations of the Buneman instability. - Qicong Xie, Tao Li, Xinsheng Wang, Zhichao Wang, Lei Xie, Guoqiao Yu, Guanglu Wan:
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios. - Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. - Simon Apers, Shantanav Chakraborty, Leonardo Novo, Jérémie Roland:
Quadratic speedup for spatial search by continuous-time quantum walk. - Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett:
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. - Sebastian Macaluso, Kyle Cranmer:
The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects. - Ruiwen Xing, Thomas Humphries, Dong Si:
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images. - Srikanth Namuduri, Prateek Mehta, Lise Barbe, Stephanie Lam, Zohreh Faghihmonzavi, Steve Finkbeiner, Shekhar Bhansali:
Faster Deep Ensemble Averaging for Quantification of DNA Damage from Comet Assay Images With Uncertainty Estimates. - Nicola Peserico, Thomas Ferreira de Lima, Paul R. Prucnal, Volker J. Sorger:
Emerging Devices and Packaging Strategies for Electronic-Photonic AI Accelerators. - Sarah E. Patterson, Anita T. Layton:
Computing Viscous Flow Along a 3D Open Tube Using the Immerse Interface Method. - Inbeom Lee, Siyi Deng, Yang Ning:
Optimal Variable Clustering for High-Dimensional Matrix Valued Data. - Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Silvia Rigato, Maria Laura Filippetti:
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives. - Pampa Howladar, Manodipan Sahoo:
Supraventricular Tachycardia Detection and Classification Model of ECG signal Using Machine Learning. - Pampa Howladar, Manodipan Sahoo:
Machine Learning-based Efficient Ventricular Tachycardia Detection Model of ECG Signal. - (Withdrawn) Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces.
- Razvan Diaconescu:
Decompositions of Stratified Institutions. - Ali Eshragh, Oliver Di Pietro, Michael A. Saunders:
Toeplitz Least Squares Problems, Fast Algorithms and Big Data. - (Withdrawn) From Bit-Parallelism to Quantum: Breaking the Quadratic Barrier.
- Andreas Windisch, Thomas Gallien, Christopher Schwarzlmüller:
A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations. - Reza Sameni:
Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms. - Gilles Bonnet, Daniel Dadush, Uri Grupel, Sophie Huiberts, Galyna Livshyts:
Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes. - Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge. - Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and instance-optimal policy evaluation with linear function approximation. - Vincent van de Schaft, Ruud J. G. van Sloun:
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors. - Alan F. Karr, Jason Hauzel, Adam A. Porter, Marcel Schaefer:
Measuring Quality of DNA Sequence Data via Degradation. - Alan F. Karr, Jason Hauzel, Adam A. Porter, Marcel Schaefer:
Application of Markov Structure of Genomes to Outlier Identification and Read Classification. - Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti:
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. - Muhammad Faizan Rizwan Khan, Seungmo Kim:
On the Feasibility of 4.9 GHz Public Safety Band as Spectrum Option for Internet of Vehicles. - Colin McDiarmid, Fiona Skerman:
Modularity and edge sampling. - Ziyang Liu, Zhengguo Li, Xingming Wu, Zhong Liu, Weihai Chen:
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks. - MohammadReza Mohebbian, Marjan Nosouhi, Farzaneh Fazilati, Zahra Nasr Esfahani, Golnaz Amiri, Negar Malekifar, Fatemeh Yusefi, Mohsen Rastegari, Hamid Reza Marateb:
A Comprehensive Review of Myoelectric Prosthesis Control. - Rishat R. Zagidullin, Alexander P. Smirnov, Sergey A. Matveev, Nikolai V. Brilliantov, Pavel L. Krapivsky:
Aggregation in non-uniform systems with advection and localized source. - Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E. Hudson, William H. Seiple, Yi Fang, Sundeep Rangan, Yao Wang, John-Ross Rizzo:
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster. - Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. - Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo:
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? - Mu Li, Kede Ma, Jinxing Li, David Zhang:
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression. - Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar, Fernando M. Lobo Pereira:
A Fast Row-Stochastic Decentralized Optimization Method Over Directed Graphs. - Allison L. Lewis, Kathleen M. Storey, Heyrim Cho, Anna C. Zittle:
Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration. - Sai Koushik S. S., K. G. Srinivasa:
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks. - Jovana Andrejevic, Chris H. Rycroft:
Simulation of crumpled sheets via alternating quasistatic and dynamic representations. - Shi Jin, Xiantao Li, Nana Liu:
On quantum algorithms for the Schrödinger equation in the semi-classical regime. - Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz:
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping. - Jacques Balayla:
Prevalence Threshold and bounds in the Accuracy of Binary Classification Systems. - Adriana Balan, Alexander Kurz:
An equational approach to enriched distributivity. - Zongyu Guo, Runsen Feng, Zhizheng Zhang, Xin Jin, Zhibo Chen:
Learning Cross-Scale Prediction for Efficient Neural Video Compression. - Kamil Khadiev, Carlos Manuel Bosch Machado:
Quantum Algorithm for the Shortest Superstring Problem. - Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe:
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives. - Airin Antony:
Resource dependent undecidability: computability landscape of distinct Turing theories. - Kamil Khadiev, Liliya Safina:
The Quantum Version of Prediction for Binary Classification Problem by Ensemble Methods. - Albert Podusenko, Bart van Erp, Magnus T. Koudahl, Bert de Vries:
AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms. - Abdulla Desmal:
A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging. - Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis:
Omitted Variable Bias in Machine Learned Causal Models. - Alphan Sahin, Bryson Everette, Safi Shams Muhtasimul Hoque:
Over-the-Air Computation with DFT-spread OFDM for Federated Edge Learning. - Rohan Nuckchady, Vitaly Demin:
Thermal convection in a HeleShaw cell with the dependence of thermal diffusivity on temperature. - Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. - Shimin Wang, Hongwei Zhang, Simone Baldi, Renxin Zhong:
Leaderless Consensus of Heterogeneous Multiple Euler-Lagrange Systems with Unknown Disturbance. - Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen:
Multiple Randomization Designs. - Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqin Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Guanglei Zhang:
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer. - Neha Baranwal, Preethi Doravari, Renu Kachhoria:
Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN). - Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran, Ngan T. H. Le:
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation. - Bong Hyuk Jeong, Hang-Keun Kim, Young-Don Son:
Depth estimation of endoscopy using sim-to-real transfer. - Chenxi Zhong, Huiyuan Yang, Xiaojun Yuan:
Over-the-Air Multi-Task Federated Learning Over MIMO Interference Channel. - André Ferreira, Ricardo Magalhães, Sébastien Mériaux, Victor Alves:
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN. - Jeffrey O. Shallit:
Additive Number Theory via Automata and Logic. - Yuan Zhou, Hemant D. Tagare:
Self-normalized Classification of Parkinson's Disease DaTscan Images. - Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. - Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng:
Computationally Efficient Approximations for Matrix-based Renyi's Entropy. - Mary Beth Ruskai:
Yet Another Proof of the Joint Convexity of Relative Entropy. - Ali Kanj, Rhinithaa P. Thanalakshme, Chengzhang Li, John Kulikowski, Gaurav Bahl, Sameh Tawfick:
Design, Dynamics, and Dissipation of a Torsional-Magnetic Spring Mechanism. - Mahdieh Shabanian, Markus T. Wenzel, John P. DeVincenzo:
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset. - Alex L. Wang, Yunlei Lu, Fatma Kilinç-Karzan:
Implicit regularity and linear convergence rates for the generalized trust-region subproblem. - Tatjana Chavdarova, Michael I. Jordan, Manolis Zampetakis:
Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations. - Xiaoliang Li:
Stability analysis of heterogeneous oligopoly games of increasing players with quadratic costs. - Kamil Khadiev, Ruslan Kapralov:
Quantum Algorithm for the Longest Trail Problem. - Imryoung Jeong, Hyunjoo Yang:
Using maps to predict economic activity. - Shreyas Kalvankar, Hrushikesh Pandit, Pranav Parwate, Atharva Patil, Snehal Kamalapur:
Astronomical Image Colorization and upscaling with Generative Adversarial Networks. - Hamza M. Ruzayqat, Ajay Jasra:
Unbiased Parameter Inference for a Class of Partially Observed Lévy-Process Models. - Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee:
MedShift: identifying shift data for medical dataset curation. - Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Hassan Khalid:
Non-Reference Quality Monitoring of Digital Images using Gradient Statistics and Feedforward Neural Networks. - Yifeng Xiong, Daryus Chandra, Soon Xin Ng, Lajos Hanzo:
Circuit-Oriented Symmetry Verification: From Quantum Switches to Spatio-Temporal Stabilizers. - Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira:
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. - Bingqing Song, Haoran Sun, Wenqiang Pu, Sijia Liu, Mingyi Hong:
To Supervise or Not: How to Effectively Learn Wireless Interference Management Models? - Haofeng Huang, Wenhan Yang, Yueyu Hu, Jiaying Liu, Ling-Yu Duan:
Towards Low Light Enhancement with RAW Images. - Zexi Huang, Lihua Guo, Xin Yang, Sijuan Huang:
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma. - Zijian Zhou, Li Wang, Zhenya Yan:
Deep neural networks for solving forward and inverse problems of (2+1)-dimensional nonlinear wave equations with rational solitons. - Barbara Kaltenbacher, Ustim Khristenko, Vanja Nikolic, Rajendran Mabel Lizzy, Barbara I. Wohlmuth:
Determining kernels in linear viscoelasticity. - Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt, Guillaume Richard:
Unsupervised Domain Adaptation for Constraining Star Formation Histories. - Amin Coja-Oghlan, Pu Gao, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Maurice Rolvien:
The full rank condition for sparse random matrices. - Yehu Lv:
Inhomogeneous spatial patterns in diffusive predator-prey system with spatial memory and predator-taxis. - Igor Furtat:
Control of dynamic systems with restrictions on input and output signals. - Andrea Thomann, Angelo Iollo, Gabriella Puppo:
Implicit relaxed all Mach number schemes for gases and compressible materials. - Igor Furtat:
Nonlinear control laws based on linear ones using odd functions. - Tai Miyazaki Kirby, Luka Ribar, Rodolphe Sepulchre:
Reliability of Event Timing in Silicon Neurons. - Daniele Cuomo, Marcello Caleffi, Kevin Krsulich, Filippo Tramonto, Gabriele Agliardi, Enrico Prati, Angela Sara Cacciapuoti:
Optimized compiler for Distributed Quantum Computing. - Michael Herty, Anna Thünen, Torsten Trimborn, Giuseppe Visconti:
Continuous limits of residual neural networks in case of large input data. - Sijin Chen, Xiwei Cheng, Anthony Man-Cho So:
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method. - François Golse, Olivier Pironneau:
Radiative Transfer in a Fluid. - Kan Xu, Hamsa Bastani:
Learning Across Bandits in High Dimension via Robust Statistics. - Emil T. Khabiboulline, Juspreet Singh Sandhu, Marco Ugo Gambetta, Mikhail D. Lukin, Johannes Borregaard:
Efficient Quantum Voting with Information-Theoretic Security. - Rahul Singh:
A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects. - Wanying Huang, Philipp Strack, Omer Tamuz:
Learning in Repeated Interactions on Networks. - Anthony Stefan, Aaron Welters:
Continuity of the roots of a nonmonic polynomial and applications in multivariate stability theory. - Theodore Kolokolnikov:
It is better to be semi-regular when you have a low degree. - Wei Miao, Gong Cheng, Jr-Shin Li:
On Uniform Ensemble Controllability of Diagonalizable Linear Ensemble Systems. - Shukai Li, Sanjay Mehrotra:
A Near-Optimal Finite Approximation Approach for Computing Stationary Distribution and Performance Measures of Continuous-State Markov Chains. - Lijie Chen, Ramis Movassagh:
Quantum Merkle Trees. - Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, Shadrokh Samavi:
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation. - Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh:
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. - Kevin He, Fedor Sandomirskiy, Omer Tamuz:
Private Private Information. - Jiequn Han, Yucheng Yang, Weinan E:
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks. - Wei Kang, Kai Sun, Liang Xu:
Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation. - Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov:
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. - Hesheng Tang, Hu Yang, Yangyang Liao, Liyu Xie:
A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration. - Jonathan K. Vis, Mark A. Santcroos, Walter A. Kosters, Jeroen F. J. Laros:
A Boolean Algebra for Genetic Variants. - Marie-Pierre Béal, Dominique Perrin, Antonio Restivo:
Decidable problems in substitution shifts. - Hua Guo, Shuo Wang, Hutao Song, Xiyong Zhang, Jianwei Liu:
A New Method of Construction of Permutation Trinomials with Coefficients 1. - Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang:
Active Learning of Quantum System Hamiltonians yields Query Advantage. - Zhengqing Pan, Ruiqian Li, Tian Gao, Zi Wang, Ping Liu, Siyuan Shen, Tao Wu, Jingyi Yu, Shiying Li:
Onsite Non-Line-of-Sight Imaging via Online Calibrations. - Xiang Li, Wenhao Yang, Zhihua Zhang, Michael I. Jordan:
Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient. - Linfang Tian, Kai Zhao, Jiaming Yin, Huy Vo, Weixiong Rao:
The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding. - Chaoxiong Wu, Jiaojiao Li, Rui Song, Yunsong Li, Qian Du:
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution. - Ping-Chang Lin, Teodora Szasz, Hakizumwami Birali Runesha:
Implementation of Convolutional Neural Network Architecture on 3D Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis. - Chris Beeler, Xinkai Li, Mark Crowley, Maia Fraser, Isaac Tamblyn:
Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. - Jun Tao, Bing Li, Lingzhou Xue:
An additive graphical model for discrete data. - Abbas Raza Ali:
Multi-Dialect Arabic Speech Recognition. - Arjan Cornelissen, Nikhil S. Mande, Maris Ozols, Ronald de Wolf:
Exact quantum query complexity of computing Hamming weight modulo powers of two and three. - Trung Vu, Raviv Raich:
On Local Convergence of Iterative Hard Thresholding for Matrix Completion. - Chris Junchi Li, Michael I. Jordan:
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems. - Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Addison J. Hu, Ryan J. Tibshirani:
Multivariate Trend Filtering for Lattice Data. - Erez Yosef, Shay Elmalem, Raja Giryes:
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding. - Lidong Fang, Pei Ge, Lei Zhang, Huan Lei, Weinan E:
DeePN2: A deep learning-based non-Newtonian hydrodynamic model. - Alexander N. Pchelintsev:
On the Poisson Stability to Study a Fourth-Order Dynamical System with Quadratic Nonlinearities. - Waleed Diab, Mohammed Al Kobaisi:
PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function. - Jared Miller, Mario Sznaier:
Facial Input Decompositions for Robust Peak and Reachable Set Estimation under Polyhedral Uncertainty. - Banghee So, Emiliano A. Valdez:
The SAMME.C2 algorithm for severely imbalanced multi-class classification. - Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler:
Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size. - Marsalis T. Gibson, Yiling You, Alexandre M. Bayen:
Parallel Network Flow Allocation in Repeated Routing Games via LQR Optimal Control. - Lei Wang, Xin Liu:
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function. - Andrea Coladangelo, Shafi Goldwasser, Umesh V. Vazirani:
Deniable Encryption in a Quantum World. - Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao:
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge. - Shuxin Yang, Xian Wu, Shen Ge, Xingwang Wu, S. Kevin Zhou, Li Xiao:
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment. - Hugo Inzirillo, Benjamin Mat:
Dimensionality reduction for prediction: Application to Bitcoin and Ethereum. - Riccardo Aragona, Lorenzo Campioni, Roberto Civino, Massimo Lauria:
Verification and generation of unrefinable partitions. - Yunfeng Zhao, Stuart Ferguson, Huiyu Zhou, Chris Elliott, Karen Rafferty:
Colour alignment for relative colour constancy via non-standard references. - Nour Almadhoun Alserr, Özgür Ulusoy, Erman Ayday, Onur Mutlu:
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples. - Jiawei Wu, Gui-Lu Long, Masahito Hayashi:
Quantum secure direct communication with private dense coding using general preshared quantum state. - Kaicong Sun, Sven Simon:
A Resolution Enhancement Plug-in for Deformable Registration of Medical Images. - Dmitry Kovalev, Alexander V. Gasnikov, Peter Richtárik:
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling. - Ronaldo Garcia, Liliana Gabriela Gheorghe, Peter Moses, Dan Reznik:
Triads of Conics Associated with a Triangle. - Noemie Combe, Yuri I. Manin, Matilde Marcolli:
Quantum Operads. - Lang Liu, Soumik Pal, Zaïd Harchaoui:
Entropy Regularized Optimal Transport Independence Criterion. - Kimberly L. Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez:
Learned Coarse Models for Efficient Turbulence Simulation. - Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu:
Distributed Random Reshuffling over Networks. - Zack W. Almquist, Tri Duc Nguyen, Mikael Sørensen, Xiao Fu, Nicholas D. Sidiropoulos:
Uncovering migration systems through spatio-temporal tensor co-clustering. - Dongjie Ye, Zhangkai Ni, Hanli Wang, Jian Zhang, Shiqi Wang, Sam Kwong:
CSformer: Bridging Convolution and Transformer for Compressive Sensing. - Songjie Yang, Wanting Lyu, Zhongpei Zhang:
An Off-grid Compressive Sensing Strategy for the Subarray Synthesis of Non-uniform Linear Arrays. - Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Weakly Supervised Change Detection Using Guided Anisotropic Difusion. - Stanislav Polyakov, Andrey Demichev, Alexander Kryukov, Evgeny Postnikov:
Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks. - Inbar Seroussi, Zohar Ringel:
Separation of scales and a thermodynamic description of feature learning in some CNNs. - Bincheng Yang, Gangshan Wu:
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning. - Sota Misawa, Kazuhiro Sato:
H2-Optimal Reduction of Positive Networks using Riemannian Augmented Lagrangian Method. - Farshad Noravesh, Hamid Boustanifar:
Exact Post-selection Inference For Tracking S&P500. - Zhenyi Yuan, Jorge Cortés:
Data-Driven Optimal Control of Bilinear Systems. - Jianmin Shen, Fei-Yi Liu, Shi-Yang Chen, Dian Xu, Xiangna Chen, Shengfeng Deng, Wei Li, Gabor Papp, Chun-Bin Yang:
Transfer learning of phase transitions in percolation and directed percolation. - Sandhya Aneja, Nagender Aneja, Pg Emeroylariffion Abas, Abdul Ghani Naim:
Transfer learning for cancer diagnosis in histopathological images. - Luigi Del Debbio, Joe Marsh Rossney, Michael Wilson:
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up. - Saeed Vatankhah, Rosemary A. Renaut, Xingguo Huang, Kevin Mickus, Mostafa Gharloghi:
Large-scale focusing joint inversion of gravity and magnetic data with Gramian constraint. - Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe:
Statistical scalability and approximate inference in distributed computing environments. - Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaïd Harchaoui:
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates. - Tim Johnston, Sotirios Sabanis:
A Strongly Monotonic Polygonal Euler Scheme. - Cameron Gates Rudd, Nathan M. Dunfield, Malik Obeidin:
Computing a link diagram from its exterior. - Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. - Karam Park, Jae Woong Soh, Nam Ik Cho:
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution. - Sankha S. Basu, Sayantan Roy:
Negation-Free Definitions of Paraconsistency. 150-159 - Florian Hörsch, Zoltán Szigeti:
A note on 2-vertex-connected orientations. - Armando Angrisani, Brian Coyle, Elham Kashefi:
Probably approximately correct quantum source coding. - Farhad Khosravi, Artur Scherer, Pooya Ronagh:
Mixed-Integer Programming Using a Bosonic Quantum Computer. - Joshua Hope-Collins, Luca di Mare:
Artificial diffusion for convective and acoustic low Mach number flows I: Analysis of the modified equations, and application to Roe-type schemes.
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