cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.GR - 计算机图形学
    cs.GT - 计算机科学与博弈论
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Belief propagation for permutations, rankings, and partial orders
    • [cs.AI]Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid
    • [cs.AR]SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference
    • [cs.CL]A Survey of Knowledge Enhanced Pre-trained Models
    • [cs.CL]BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
    • [cs.CL]Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
    • [cs.CL]Improving Punctuation Restoration for Speech Transcripts via External Data
    • [cs.CL]Learning to Ask for Data-Efficient Event Argument Extraction
    • [cs.CL]Natural language understanding for logical games
    • [cs.CL]Phonology Recognition in American Sign Language
    • [cs.CL]Span Labeling Approach for Vietnamese and Chinese Word Segmentation
    • [cs.CL]Under the Microscope: Interpreting Readability Assessment Models for Filipino
    • [cs.CL]Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
    • [cs.CV]ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
    • [cs.CV]Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths
    • [cs.CV]Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing
    • [cs.CV]Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
    • [cs.CV]Consistent Explanations by Contrastive Learning
    • [cs.CV]Data-Efficient Instance Segmentation with a Single GPU
    • [cs.CV]Deep Learning-based Action Detection in Untrimmed Videos: A Survey
    • [cs.CV]Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
    • [cs.CV]Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
    • [cs.CV]Geometry Attention Transformer with Position-aware LSTMs for Image Captioning
    • [cs.CV]HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge
    • [cs.CV]Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation
    • [cs.CV]Lightweight Transformer in Federated Setting for Human Activity Recognition
    • [cs.CV]Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning
    • [cs.CV]MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
    • [cs.CV]Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
    • [cs.CV]PhiNets: a scalable backbone for low-power AI at the edge
    • [cs.CV]ResNet strikes back: An improved training procedure in timm
    • [cs.CV]Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains
    • [cs.CV]Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
    • [cs.CV]Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
    • [cs.CV]Self-supervised Secondary Landmark Detection via 3D Representation Learning
    • [cs.CV]Stochastic Modeling for Learnable Human Pose Triangulation
    • [cs.CV]Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation
    • [cs.CV]Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
    • [cs.CV]Survey and synthesis of state of the art in driver monitoring
    • [cs.CV]Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
    • [cs.CV]TEACh: Task-driven Embodied Agents that Chat
    • [cs.CV]Towards Protecting Face Embeddings in Mobile Face Verification Scenarios
    • [cs.CV]Unsupervised Motion Representation Learning with Capsule Autoencoders
    • [cs.CV]Video Temporal Relationship Mining for Data-Efficient Person Re-identification
    • [cs.CV]Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction
    • [cs.CY]Dynamic Emotions of Supporters and Opponents of Anti-racism Movement from George Floyd Protests
    • [cs.DB]LEMON: Explainable Entity Matching
    • [cs.DC]Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads
    • [cs.DC]Towards Generalised Half-Duplex Systems
    • [cs.DS]Online Primal-Dual Algorithms with Predictions for Packing Problems
    • [cs.GR]GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction
    • [cs.GT]The Complexity of Learning Approval-Based Multiwinner Voting Rules
    • [cs.IR]Explainable Point-Based Document Visualizations
    • [cs.IR]SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System
    • [cs.IT]A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs
    • [cs.IT]Channel Estimation with Reconfigurable Intelligent Surfaces — A General Framework
    • [cs.IT]Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
    • [cs.IT]Reconfigurable Intelligent Surfaces Based on Single, Group, and Fully Connected Discrete-Value Impedance Networks
    • [cs.IT]Users’ ability to perceive misinformation: An information quality assessment approach
    • [cs.IT]Velocity-aware Antenna Selection in Predictor Antenna Systems
    • [cs.IT]What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
    • [cs.LG]A survey on datasets for fairness-aware machine learning
    • [cs.LG]An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
    • [cs.LG]Applying Differential Privacy to Tensor Completion
    • [cs.LG]Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
    • [cs.LG]Batched Thompson Sampling
    • [cs.LG]Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
    • [cs.LG]DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks
    • [cs.LG]Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing
    • [cs.LG]Divergence-Regularized Multi-Agent Actor-Critic
    • [cs.LG]DualNet: Continual Learning, Fast and Slow
    • [cs.LG]Empirical Quantitative Analysis of COVID-19 Forecasting Models
    • [cs.LG]Evaluating the fairness of fine-tuning strategies in self-supervised learning
    • [cs.LG]Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm
    • [cs.LG]Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp
    • [cs.LG]Iterative Teacher-Aware Learning
    • [cs.LG]Large-scale ASR Domain Adaptation by Self- and Semi-supervised Learning
    • [cs.LG]Leveraging power grid topology in machine learning assisted optimal power flow
    • [cs.LG]Offline Reinforcement Learning with Reverse Model-based Imagination
    • [cs.LG]On the Importance of Gradients for Detecting Distributional Shifts in the Wild
    • [cs.LG]Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
    • [cs.LG]PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
    • [cs.LG]Personalized Rehabilitation Robotics based on Online Learning Control
    • [cs.LG]Predicting COVID-19 Patient Shielding: A Comprehensive Study
    • [cs.LG]Probabilistic Robust Autoencoders for Anomaly Detection
    • [cs.LG]Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
    • [cs.LG]Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning
    • [cs.LG]Reconstruction for Powerful Graph Representations
    • [cs.LG]SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series
    • [cs.LG]Scientific evidence extraction
    • [cs.LG]Stochastic Contrastive Learning
    • [cs.LG]Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
    • [cs.LG]Tree in Tree: from Decision Trees to Decision Graphs
    • [cs.LG]Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
    • [cs.LG]Update in Unit Gradient
    • [cs.LG]UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
    • [cs.MA]Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
    • [cs.MA]Emergence of Theory of Mind Collaboration in Multiagent Systems
    • [cs.MA]Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks During Optimization
    • [cs.NE]New Evolutionary Computation Models and their Applications to Machine Learning
    • [cs.NE]Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework
    • [cs.NI]A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem
    • [cs.NI]Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions
    • [cs.NI]Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning
    • [cs.RO]A Sufficient Condition for Convex Hull Property in General Convex Spatio-Temporal Corridors
    • [cs.RO]An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights
    • [cs.RO]Batch Belief Trees for Motion Planning Under Uncertainty
    • [cs.RO]Dynamic Modeling and Simulation of a Four-wheel Skid-Steer Mobile Robot using Linear Graphs
    • [cs.RO]Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes
    • [cs.RO]From SLAM to Situational Awareness: Challenges and Survey
    • [cs.RO]Guiding Evolutionary Strategies by Differentiable Robot Simulators
    • [cs.RO]Improving Object Permanence using Agent Actions and Reasoning
    • [cs.RO]Improving Object Permanence using Agent Actions and Reasoning
    • [cs.RO]Learning Reward Functions from Scale Feedback
    • [cs.RO]Learning from Demonstrations for Autonomous Soft-tissue Retraction
    • [cs.RO]Probabilistic Object Maps for Long-Term Robot Localization
    • [cs.RO]Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification
    • [cs.RO]Simulation-based multi-criteria comparison of mono-articular and bi-articular exoskeletons during walking with and without load
    • [cs.RO]Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization
    • [cs.RO]Topologically-Informed Atlas Learning
    • [cs.RO]Validating Robotics Simulators on Real World Impacts
    • [cs.RO]Vision-Only Robot Navigation in a Neural Radiance World
    • [cs.SI]#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
    • [cs.SI]Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
    • [cs.SI]Inequality and Inequity in Network-based Ranking and Recommendation Algorithms
    • [cs.SI]Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
    • [cs.SI]What Happened in Social Media during the 2020 BLM Movement? An Analysis of Deleted and Suspended Users in Twitter
    • [econ.EM]Relative Contagiousness of Emerging Virus Variants: An Analysis of SARS-CoV-2 Alpha and Delta Variants
    • [eess.IV]A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans
    • [eess.IV]DCT based Fusion of Variable Exposure Images for HDRI
    • [eess.IV]DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
    • [eess.IV]Development of the algorithm for differentiating bone metastases and trauma of the ribs in bone scintigraphy and demonstration of visual evidence of the algorithm — Using only anterior bone scan view of thorax
    • [eess.IV]Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
    • [eess.IV]Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising
    • [eess.IV]Optic Disc Segmentation using Disk-Centered Patch Augmentation
    • [eess.IV]Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
    • [eess.SP]A Bayesian approach to location estimation of mobile devices from mobile network operator data
    • [eess.SP]A survey on active noise control techniques — Part I: Linear systems
    • [eess.SP]Improving Load Forecast in Energy Markets During COVID-19
    • [eess.SP]Learn to Communicate with Neural Calibration: Scalability and Generalization
    • [eess.SY]Error-free approximation of explicit linear MPC through lattice piecewise affine expression
    • [eess.SY]RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
    • [math.OC]Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
    • [math.ST]Componentwise Equivariant Estimation of Order Restricted Location and Scale Parameters In Bivariate Models: A Unified Study
    • [math.ST]Inference on the maximal rank of time-varying covariance matrices using high-frequency data
    • [physics.comp-ph]Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation
    • [stat.AP]A Riemannian Approach to Multivariate Geostatistical Modeling
    • [stat.AP]Confidence intervals for efficiencies in particle physics experiments
    • [stat.AP]State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting
    • [stat.CO]ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
    • [stat.ME]A Review and Critique of Auxiliary Information-Based Process Monitoring Methods
    • [stat.ME]Censored autoregressive regression models with Student-今日学术视野(2021.10.5) - 图1 innovations
    • [stat.ME]Comparing Sequential Forecasters
    • [stat.ME]Confounder importance learning for treatment effect inference
    • [stat.ME]Dimension Reduction and Data Visualization for Fréchet Regression
    • [stat.ME]Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population
    • [stat.ML]A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning
    • [stat.ML]Lagrangian Inference for Ranking Problems
    • [stat.ML]Powerpropagation: A sparsity inducing weight reparameterisation
    • [stat.ML]Predicting Consumer Purchasing Decision in The Online Food Delivery Industry
    • [stat.ML]Score-Based Generative Classifiers
    • [stat.ML]Sim and Real: Better Together
    • [stat.ML]Smooth Normalizing Flows
    • [stat.ML]TyXe: Pyro-based Bayesian neural nets for Pytorch
    • [stat.ML]Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers

    ·····································

    • [cs.AI]Belief propagation for permutations, rankings, and partial orders
    George T. Cantwell, Cristopher Moore
    http://arxiv.org/abs/2110.00513v1

    • [cs.AI]Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid
    Chabane Khentout, Khadidja Harbouche, Mahieddine Djoudi
    http://arxiv.org/abs/2110.00247v1

    • [cs.AR]SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference
    Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David Kaeli
    http://arxiv.org/abs/2110.00478v1

    • [cs.CL]A Survey of Knowledge Enhanced Pre-trained Models
    Jian Yang, Gang Xiao, Yulong Shen, Wei Jiang, Xinyu Hu, Ying Zhang, Jinghui Peng
    http://arxiv.org/abs/2110.00269v1

    • [cs.CL]BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
    Zeguan Xiao, Jiarun Wu, Qingliang Chen, Congjian Deng
    http://arxiv.org/abs/2110.00171v1

    • [cs.CL]Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
    Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang
    http://arxiv.org/abs/2110.00159v1

    • [cs.CL]Improving Punctuation Restoration for Speech Transcripts via External Data
    Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
    http://arxiv.org/abs/2110.00560v1

    • [cs.CL]Learning to Ask for Data-Efficient Event Argument Extraction
    Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen
    http://arxiv.org/abs/2110.00479v1

    • [cs.CL]Natural language understanding for logical games
    Adrian Groza, Cristian Nitu
    http://arxiv.org/abs/2110.00558v1

    • [cs.CL]Phonology Recognition in American Sign Language
    Federico Tavella, Aphrodite Galata, Angelo Cangelosi
    http://arxiv.org/abs/2110.00453v1

    • [cs.CL]Span Labeling Approach for Vietnamese and Chinese Word Segmentation
    Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2110.00156v1

    • [cs.CL]Under the Microscope: Interpreting Readability Assessment Models for Filipino
    Joseph Marvin Imperial, Ethel Ong
    http://arxiv.org/abs/2110.00157v1

    • [cs.CL]Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
    Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm
    http://arxiv.org/abs/2110.00521v1

    • [cs.CV]ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
    Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
    http://arxiv.org/abs/2110.00511v1

    • [cs.CV]Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths
    Ido Czerninski, Yoav Y. Schechner
    http://arxiv.org/abs/2110.00085v1

    • [cs.CV]Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing
    Sobhan Hemati, H. R. Tizhoosh
    http://arxiv.org/abs/2110.00216v1

    • [cs.CV]Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
    Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan Yuille
    http://arxiv.org/abs/2110.00519v1

    • [cs.CV]Consistent Explanations by Contrastive Learning
    Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
    http://arxiv.org/abs/2110.00527v1

    • [cs.CV]Data-Efficient Instance Segmentation with a Single GPU
    Pengyu Chen, Wanhua Li, Jiwen Lu
    http://arxiv.org/abs/2110.00242v1

    • [cs.CV]Deep Learning-based Action Detection in Untrimmed Videos: A Survey
    Elahe Vahdani, Yingli Tian
    http://arxiv.org/abs/2110.00111v1

    • [cs.CV]Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
    Tom George Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb
    http://arxiv.org/abs/2110.00528v1

    • [cs.CV]Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
    Xin Feng, Wenjie Pei, Fengjun Li, Fanglin Chen, David Zhang, Guangming Lu
    http://arxiv.org/abs/2110.00261v1

    • [cs.CV]Geometry Attention Transformer with Position-aware LSTMs for Image Captioning
    Chi Wang, Yulin Shen, Luping Ji
    http://arxiv.org/abs/2110.00335v1

    • [cs.CV]HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge
    Jae Shin Yoon, Zhixuan Yu, Jaesik Park, Hyun Soo Park
    http://arxiv.org/abs/2110.00119v1

    • [cs.CV]Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation
    Jahongir Yunusov, Shohruh Rakhmatov, Abdulaziz Namozov, Abdulaziz Gaybulayev, Tae-Hyong Kim
    http://arxiv.org/abs/2110.00470v1

    • [cs.CV]Lightweight Transformer in Federated Setting for Human Activity Recognition
    Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi
    http://arxiv.org/abs/2110.00244v1

    • [cs.CV]Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning
    Chun-Wei Yang, Thanh-Hai Phung, Hong-Han Shuai, Wen-Huang Cheng
    http://arxiv.org/abs/2110.00523v1

    • [cs.CV]MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
    Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino
    http://arxiv.org/abs/2110.00464v1

    • [cs.CV]Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
    Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan
    http://arxiv.org/abs/2110.00394v1

    • [cs.CV]PhiNets: a scalable backbone for low-power AI at the edge
    Francesco Paissan, Alberto Ancilotto, Elisabetta Farella
    http://arxiv.org/abs/2110.00337v1

    • [cs.CV]ResNet strikes back: An improved training procedure in timm
    Ross Wightman, Hugo Touvron, Hervé Jégou
    http://arxiv.org/abs/2110.00476v1

    • [cs.CV]Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains
    Kevin Köser, Yifan Song, Lasse Petersen, Emanuel Wenzlaff, Felix Woelk
    http://arxiv.org/abs/2110.00480v1

    • [cs.CV]Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
    Haoping Xu, Yi Ru Wang, Sagi Eppel, Alàn Aspuru-Guzik, Florian Shkurti, Animesh Garg
    http://arxiv.org/abs/2110.00087v1

    • [cs.CV]Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
    Armand Comas, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia Camps
    http://arxiv.org/abs/2110.00547v1

    • [cs.CV]Self-supervised Secondary Landmark Detection via 3D Representation Learning
    Praneet C. Bala, Jan Zimmermann, Hyun Soo Park, Benjamin Y. Hayden
    http://arxiv.org/abs/2110.00543v1

    • [cs.CV]Stochastic Modeling for Learnable Human Pose Triangulation
    Kristijan Bartol, David Bojanić, Tomislav Petković, Tomislav Pribanić
    http://arxiv.org/abs/2110.00280v1

    • [cs.CV]Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation
    Zheng Li, Xiang Li, Lingfeng Zhang, Jian Yang, Zhigeng Pan
    http://arxiv.org/abs/2110.00329v1

    • [cs.CV]Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
    Ni Zhang, Junwei Han, Nian Liu, Ling Shao
    http://arxiv.org/abs/2110.00338v1

    • [cs.CV]Survey and synthesis of state of the art in driver monitoring
    Anaïs Halin, Jacques G. Verly, Marc Van Droogenbroeck
    http://arxiv.org/abs/2110.00472v1

    • [cs.CV]Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
    Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali
    http://arxiv.org/abs/2110.00249v1

    • [cs.CV]TEACh: Task-driven Embodied Agents that Chat
    Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramithu, Gokhan Tur, Dilek Hakkani-Tur
    http://arxiv.org/abs/2110.00534v1

    • [cs.CV]Towards Protecting Face Embeddings in Mobile Face Verification Scenarios
    Vedrana Krivokuća Hahn, Sébastien Marcel
    http://arxiv.org/abs/2110.00434v1

    • [cs.CV]Unsupervised Motion Representation Learning with Capsule Autoencoders
    Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S Kankanhalli
    http://arxiv.org/abs/2110.00529v1

    • [cs.CV]Video Temporal Relationship Mining for Data-Efficient Person Re-identification
    Siyu Chen, Dengjie Li, Lishuai Gao, Fan Liang, Wei Zhang, Lin Ma
    http://arxiv.org/abs/2110.00549v1

    • [cs.CV]Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction
    Youngjoo Kim, Alexandru C. Telea, Scott C. Trager, Jos B. T. M. Roerdink
    http://arxiv.org/abs/2110.00317v1

    • [cs.CY]Dynamic Emotions of Supporters and Opponents of Anti-racism Movement from George Floyd Protests
    Jaihyun Park
    http://arxiv.org/abs/2109.14269v2

    • [cs.DB]LEMON: Explainable Entity Matching
    Nils Barlaug
    http://arxiv.org/abs/2110.00516v1

    • [cs.DC]Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads
    Guin Gilman, Robert J. Walls
    http://arxiv.org/abs/2110.00459v1

    • [cs.DC]Towards Generalised Half-Duplex Systems
    Cinzia Di Giusto, Loïc Germerie Guizouarn, Etienne Lozes
    http://arxiv.org/abs/2110.00145v1

    • [cs.DS]Online Primal-Dual Algorithms with Predictions for Packing Problems
    Nguyen Kim Thang, Christoph Durr
    http://arxiv.org/abs/2110.00391v1

    • [cs.GR]GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction
    Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho, Howard Leung
    http://arxiv.org/abs/2110.00380v1

    • [cs.GT]The Complexity of Learning Approval-Based Multiwinner Voting Rules
    Ioannis Caragiannis, Karl Fehrs
    http://arxiv.org/abs/2110.00254v1

    • [cs.IR]Explainable Point-Based Document Visualizations
    Primož Godec, Nikola Ðukić, Ajda Pretnar, Vesna Tanko, Lan Žagar, Blaž Zupan
    http://arxiv.org/abs/2110.00462v1

    • [cs.IR]SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System
    Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
    http://arxiv.org/abs/2110.00452v1

    • [cs.IT]A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs
    Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
    http://arxiv.org/abs/2110.00132v1

    • [cs.IT]Channel Estimation with Reconfigurable Intelligent Surfaces — A General Framework
    A. Lee Swindlehurst, Gui Zhou, Rang Liu, Cunhua Pan, Ming Li
    http://arxiv.org/abs/2110.00553v1

    • [cs.IT]Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
    Sangwoo Park, Osvaldo Simeone
    http://arxiv.org/abs/2110.00414v1

    • [cs.IT]Reconfigurable Intelligent Surfaces Based on Single, Group, and Fully Connected Discrete-Value Impedance Networks
    Matteo Nerini, Bruno Clerckx
    http://arxiv.org/abs/2110.00077v1

    • [cs.IT]Users’ ability to perceive misinformation: An information quality assessment approach
    Aljaž Zrnec, Marko Poženel, Dejan Lavbič
    http://arxiv.org/abs/2110.00230v1

    • [cs.IT]Velocity-aware Antenna Selection in Predictor Antenna Systems
    Hao Guo, Behrooz Makki, Tommy Svensson
    http://arxiv.org/abs/2110.00064v1

    • [cs.IT]What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
    Qiao Lan, Dingzhu Wen, Zezhong Zhang, Qunsong Zeng, Xu Chen, Petar Popovski, Kaibin Huang
    http://arxiv.org/abs/2110.00196v1

    • [cs.LG]A survey on datasets for fairness-aware machine learning
    Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
    http://arxiv.org/abs/2110.00530v1

    • [cs.LG]An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
    Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
    http://arxiv.org/abs/2110.00508v1

    • [cs.LG]Applying Differential Privacy to Tensor Completion
    Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang
    http://arxiv.org/abs/2110.00539v1

    • [cs.LG]Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
    François Rozet, Gilles Louppe
    http://arxiv.org/abs/2110.00449v1

    • [cs.LG]Batched Thompson Sampling
    Cem Kalkanli, Ayfer Ozgur
    http://arxiv.org/abs/2110.00202v1

    • [cs.LG]Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
    Chi-Ken Lu, Patrick Shafto
    http://arxiv.org/abs/2110.00568v1

    • [cs.LG]DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks
    Ahmet F. Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap
    http://arxiv.org/abs/2110.00211v1

    • [cs.LG]Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing
    Hong Zhu, Ian Bayley
    http://arxiv.org/abs/2110.00330v1

    • [cs.LG]Divergence-Regularized Multi-Agent Actor-Critic
    Kefan Su, Zongqing Lu
    http://arxiv.org/abs/2110.00304v1

    • [cs.LG]DualNet: Continual Learning, Fast and Slow
    Quang Pham, Chenghao Liu, Steven Hoi
    http://arxiv.org/abs/2110.00175v1

    • [cs.LG]Empirical Quantitative Analysis of COVID-19 Forecasting Models
    Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda Petzold
    http://arxiv.org/abs/2110.00174v1

    • [cs.LG]Evaluating the fairness of fine-tuning strategies in self-supervised learning
    Jason Ramapuram, Dan Busbridge, Russ Webb
    http://arxiv.org/abs/2110.00538v1

    • [cs.LG]Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm
    Belhal Karimi, Xiaoyun Li, Ping Li
    http://arxiv.org/abs/2110.00532v1

    • [cs.LG]Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp
    Kazuo Yonekura, Nozomu Miyamoto, Katsuyuki Suzuki
    http://arxiv.org/abs/2110.00212v1

    • [cs.LG]Iterative Teacher-Aware Learning
    Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu
    http://arxiv.org/abs/2110.00137v1

    • [cs.LG]Large-scale ASR Domain Adaptation by Self- and Semi-supervised Learning
    Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He
    http://arxiv.org/abs/2110.00165v1

    • [cs.LG]Leveraging power grid topology in machine learning assisted optimal power flow
    Thomas Falconer, Letif Mones
    http://arxiv.org/abs/2110.00306v1

    • [cs.LG]Offline Reinforcement Learning with Reverse Model-based Imagination
    Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
    http://arxiv.org/abs/2110.00188v1

    • [cs.LG]On the Importance of Gradients for Detecting Distributional Shifts in the Wild
    Rui Huang, Andrew Geng, Yixuan Li
    http://arxiv.org/abs/2110.00218v1

    • [cs.LG]Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
    C. Tanner Fredieu, Anthony Martone, R. Michael Buehrer
    http://arxiv.org/abs/2110.00252v1

    • [cs.LG]PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
    Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
    http://arxiv.org/abs/2110.00071v1

    • [cs.LG]Personalized Rehabilitation Robotics based on Online Learning Control
    Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro J. Ordóñez-Conejo, Sandra Hirche
    http://arxiv.org/abs/2110.00481v1

    • [cs.LG]Predicting COVID-19 Patient Shielding: A Comprehensive Study
    Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
    http://arxiv.org/abs/2110.00183v1

    • [cs.LG]Probabilistic Robust Autoencoders for Anomaly Detection
    Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger
    http://arxiv.org/abs/2110.00494v1

    • [cs.LG]Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
    Soheil Zabihi, Elahe Rahimian, Soumya Sharma, Sean K. Sethi, Sara Gharabaghi, Amir Asif, E. Mark Haacke, Mandar S. Jog, Arash Mohammadi
    http://arxiv.org/abs/2110.00203v1

    • [cs.LG]Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning
    Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu
    http://arxiv.org/abs/2110.00260v1

    • [cs.LG]Reconstruction for Powerful Graph Representations
    Leonardo Cotta, Christopher Morris, Bruno Ribeiro
    http://arxiv.org/abs/2110.00577v1

    • [cs.LG]SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series
    Jingwei Zuo, Karine Zeitouni, Yehia Taher
    http://arxiv.org/abs/2110.00578v1

    • [cs.LG]Scientific evidence extraction
    Brandon Smock, Rohith Pesala, Robin Abraham
    http://arxiv.org/abs/2110.00061v1

    • [cs.LG]Stochastic Contrastive Learning
    Jason Ramapuram, Dan BusBridge, Xavier Suau, Russ Webb
    http://arxiv.org/abs/2110.00552v1

    • [cs.LG]Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
    Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
    http://arxiv.org/abs/2110.00455v1

    • [cs.LG]Tree in Tree: from Decision Trees to Decision Graphs
    Bingzhao Zhu, Mahsa Shoaran
    http://arxiv.org/abs/2110.00392v1

    • [cs.LG]Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
    Jingwei Li
    http://arxiv.org/abs/2110.00082v1

    • [cs.LG]Update in Unit Gradient
    Ching-Hsun. Tseng, Liu-Hsueh. Cheng, Shin-Jye. Lee, Xiaojun Zeng
    http://arxiv.org/abs/2110.00199v1

    • [cs.LG]UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
    Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
    http://arxiv.org/abs/2110.00135v1

    • [cs.MA]Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
    Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
    http://arxiv.org/abs/2110.00096v1

    • [cs.MA]Emergence of Theory of Mind Collaboration in Multiagent Systems
    Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu
    http://arxiv.org/abs/2110.00121v1

    • [cs.MA]Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks During Optimization
    N. DiBrita, K. Eledlebi, H. Hildmann, L. Culley, A. F. Isakovic
    http://arxiv.org/abs/2110.00506v1

    • [cs.NE]New Evolutionary Computation Models and their Applications to Machine Learning
    Mihai Oltean
    http://arxiv.org/abs/2110.00468v1

    • [cs.NE]Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework
    Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani
    http://arxiv.org/abs/2110.00214v1

    • [cs.NI]A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem
    Zhenyao Liu, Jen-Hsuan Chen, Shi-Yi Tan, Wei-Chang Yeh
    http://arxiv.org/abs/2110.00133v1

    • [cs.NI]Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions
    Xi Jiang, Noah Apthorpe
    http://arxiv.org/abs/2110.00060v1

    • [cs.NI]Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning
    Lorenzo Valerio, Raffaele Bruno, Andrea Passarella
    http://arxiv.org/abs/2110.00397v1

    • [cs.RO]A Sufficient Condition for Convex Hull Property in General Convex Spatio-Temporal Corridors
    Weize Zhang, Peyman Yadmellat, Zhiwei Gao
    http://arxiv.org/abs/2110.00065v1

    • [cs.RO]An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights
    Yusuke Tanaka, Yuki Shirai, Zachary Lacey, Xuan Lin, Jane Liu, Dennis Hong
    http://arxiv.org/abs/2110.00083v1

    • [cs.RO]Batch Belief Trees for Motion Planning Under Uncertainty
    Dongliang Zheng, Panagiotis Tsiotras
    http://arxiv.org/abs/2110.00173v1

    • [cs.RO]Dynamic Modeling and Simulation of a Four-wheel Skid-Steer Mobile Robot using Linear Graphs
    Eric McCormick, Haoxiang Lang, Clarence W. de Silva
    http://arxiv.org/abs/2110.00323v1

    • [cs.RO]Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes
    Ali Hassani, Abbas Bataleblu, S. A. Khalilpour, Hamid D. Taghirad, Philippe Cardou
    http://arxiv.org/abs/2110.00491v1

    • [cs.RO]From SLAM to Situational Awareness: Challenges and Survey
    Hriday Bavle, Jose Luis Sanchez-Lopez, Eduardo F. Schmidt, Holger Voos
    http://arxiv.org/abs/2110.00273v1

    • [cs.RO]Guiding Evolutionary Strategies by Differentiable Robot Simulators
    Vladislav Kurenkov, Bulat Maksudov
    http://arxiv.org/abs/2110.00438v1

    • [cs.RO]Improving Object Permanence using Agent Actions and Reasoning
    Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok
    http://arxiv.org/abs/2110.00238v1

    • [cs.RO]Improving Object Permanence using Agent Actions and Reasoning
    Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok
    http://arxiv.org/abs/2
    a85
    110.00238v1
    a85
    110.00238v1)

    • [cs.RO]Learning Reward Functions from Scale Feedback
    Nils Wilde, Erdem Bıyık, Dorsa Sadigh, Stephen L. Smith
    http://arxiv.org/abs/2110.00284v1

    • [cs.RO]Learning from Demonstrations for Autonomous Soft-tissue Retraction
    Ameya Pore, Eleonora Tagliabue, Marco Piccinelli, Diego Dall’Alba, Alicia Casals, Paolo Fiorini
    http://arxiv.org/abs/2110.00336v1

    • [cs.RO]Probabilistic Object Maps for Long-Term Robot Localization
    Amanda Adkins, Joydeep Biswas
    http://arxiv.org/abs/2110.00128v1

    • [cs.RO]Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification
    Ashkan Jasour, Weiqiao Han, Brian Williams
    http://arxiv.org/abs/2110.00233v1

    • [cs.RO]Simulation-based multi-criteria comparison of mono-articular and bi-articular exoskeletons during walking with and without load
    Ali KhalilianMotamed Bonab, Volkan Patoglu
    http://arxiv.org/abs/2110.00062v1

    • [cs.RO]Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization
    Akshay Dhonthi, Philipp Schillinger, Leonel Rozo, Daniele Nardi
    http://arxiv.org/abs/2110.00339v1

    • [cs.RO]Topologically-Informed Atlas Learning
    Thomas Cohn, Nikhil Devraj, Odest Chadwicke Jenkins
    http://arxiv.org/abs/2110.00429v1

    • [cs.RO]Validating Robotics Simulators on Real World Impacts
    Brian Acosta, William Yang, Michael Posa
    http://arxiv.org/abs/2110.00541v1

    • [cs.RO]Vision-Only Robot Navigation in a Neural Radiance World
    Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager
    http://arxiv.org/abs/2110.00168v1

    • [cs.SI]#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
    Jacqueline Comer, Sam Work, Kory W Mathewson, Lana Cuthbertson, Kasey Machin
    http://arxiv.org/abs/2110.00116v1

    • [cs.SI]Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
    Meng Liu, Yong Liu
    http://arxiv.org/abs/2110.00267v1

    • [cs.SI]Inequality and Inequity in Network-based Ranking and Recommendation Algorithms
    Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier, Fariba Karimi
    http://arxiv.org/abs/2110.00072v1

    • [cs.SI]Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
    Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Jinyang, Li, Shengzhong, Liu, Hanghang Tong, Tarek Abdelzaher
    http://arxiv.org/abs/2110.00210v1

    • [cs.SI]What Happened in Social Media during the 2020 BLM Movement? An Analysis of Deleted and Suspended Users in Twitter
    Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz
    http://arxiv.org/abs/2110.00070v1

    • [econ.EM]Relative Contagiousness of Emerging Virus Variants: An Analysis of SARS-CoV-2 Alpha and Delta Variants
    Peter Reinhard Hansen
    http://arxiv.org/abs/2110.00533v1

    • [eess.IV]A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans
    Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
    http://arxiv.org/abs/2110.00466v1

    • [eess.IV]DCT based Fusion of Variable Exposure Images for HDRI
    Vivek Ramakarishnan, Dnyaneshwar Jageshwar Pete
    http://arxiv.org/abs/2110.00312v1

    • [eess.IV]DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
    Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert
    http://arxiv.org/abs/2110.00109v1

    • [eess.IV]Development of the algorithm for differentiating bone metastases and trauma of the ribs in bone scintigraphy and demonstration of visual evidence of the algorithm — Using only anterior bone scan view of thorax
    Shigeaki Higashiyama, Yukino Ohta, Yutaka Katayama, Atsushi Yoshida, Joji Kawabe
    http://arxiv.org/abs/2110.00130v1

    • [eess.IV]Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
    Dwarikanath Mahapatra
    http://arxiv.org/abs/2110.00404v1

    • [eess.IV]Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising
    Arjun D Desai, Batu M Ozturkler, Christopher M Sandino, Shreyas Vasanawala, Brian A Hargreaves, Christopher M Re, John M Pauly, Akshay S Chaudhari
    http://arxiv.org/abs/2110.00075v1

    • [eess.IV]Optic Disc Segmentation using Disk-Centered Patch Augmentation
    Saeid Motevali, Aashis Khanal, Rolando Estrada
    http://arxiv.org/abs/2110.00512v1

    • [eess.IV]Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
    Mikael Le Pendu, Christine Guillemot
    http://arxiv.org/abs/2110.00493v1

    • [eess.SP]A Bayesian approach to location estimation of mobile devices from mobile network operator data
    Martijn Tennekes, Yvonne A. P. M. Gootzen
    http://arxiv.org/abs/2110.00439v1

    • [eess.SP]A survey on active noise control techniques — Part I: Linear systems
    Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare, Zongsheng Zheng, Yi Yu, Xiaomin Yang, Badong Chen
    http://arxiv.org/abs/2110.00531v1

    • [eess.SP]Improving Load Forecast in Energy Markets During COVID-19
    Ziyun Wang, Hao Wang
    http://arxiv.org/abs/2110.00181v1

    • [eess.SP]Learn to Communicate with Neural Calibration: Scalability and Generalization
    Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief
    http://arxiv.org/abs/2110.00272v1

    • [eess.SY]Error-free approximation of explicit linear MPC through lattice piecewise affine expression
    Jun Xu
    http://arxiv.org/abs/2110.00201v1

    • [eess.SY]RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
    Lukas Brunke, Siqi Zhou, Angela P. Schoellig
    http://arxiv.org/abs/2110.00542v1

    • [math.OC]Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
    Florian Bernard, Daniel Cremers, Johan Thunberg
    http://arxiv.org/abs/2110.00053v1

    • [math.ST]Componentwise Equivariant Estimation of Order Restricted Location and Scale Parameters In Bivariate Models: A Unified Study
    Naresh Garg, Neeraj Misra
    http://arxiv.org/abs/2109.14997v2

    • [math.ST]Inference on the maximal rank of time-varying covariance matrices using high-frequency data
    Markus Reiß, Lars Winkelmann
    http://arxiv.org/abs/2110.00363v1

    • [physics.comp-ph]Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation
    Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh
    http://arxiv.org/abs/2110.00546v1

    • [stat.AP]A Riemannian Approach to Multivariate Geostatistical Modeling
    Alvaro Riquelme
    http://arxiv.org/abs/2109.14550v2

    • [stat.AP]Confidence intervals for efficiencies in particle physics experiments
    Hans Dembinski, Michael Schmelling
    http://arxiv.org/abs/2110.00294v1

    • [stat.AP]State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting
    Joseph de Vilmarest, Yannig Goude
    http://arxiv.org/abs/2110.00334v1

    • [stat.CO]ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
    Jason Willwerscheid, Matthew Stephens
    http://arxiv.org/abs/2110.00152v1

    • [stat.ME]A Review and Critique of Auxiliary Information-Based Process Monitoring Methods
    Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall, Sven Knoth
    http://arxiv.org/abs/2110.00198v1

    • [stat.ME]Censored autoregressive regression models with Student-今日学术视野(2021.10.5) - 图2 innovations
    Katherine A. L. Valeriano, Fernanda L. Schumacher, Christian E. Galarza, Larissa A. Matos
    http://arxiv.org/abs/2110.00224v1

    • [stat.ME]Comparing Sequential Forecasters
    Yo Joong Choe, Aaditya Ramdas
    http://arxiv.org/abs/2110.00115v1

    • [stat.ME]Confounder importance learning for treatment effect inference
    Miquel Torrens-i-Dinarès, Omiros Papaspiliopoulos, David Rossell
    http://arxiv.org/abs/2110.00314v1

    • [stat.ME]Dimension Reduction and Data Visualization for Fréchet Regression
    Qi Zhang, Lingzhou Xue, Bing Li
    http://arxiv.org/abs/2110.00467v1

    • [stat.ME]Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population
    Sarah E Robertson, Jon A Steingrimsson, Issa J Dahabreh
    http://arxiv.org/abs/2110.00107v1

    • [stat.ML]A Cramér Distance perspective on Non-crossing Quantile Regression in Distributional Reinforcement Learning
    Alix Lhéritier, Nicolas Bondoux
    http://arxiv.org/abs/2110.00535v1

    • [stat.ML]Lagrangian Inference for Ranking Problems
    Yue Liu, Ethan X. Fang, Junwei Lu
    http://arxiv.org/abs/2110.00151v1

    • [stat.ML]Powerpropagation: A sparsity inducing weight reparameterisation
    Jonathan Schwarz, Siddhant M. Jayakumar, Razvan Pascanu, Peter E. Latham, Yee Whye Teh
    http://arxiv.org/abs/2110.00296v1

    • [stat.ML]Predicting Consumer Purchasing Decision in The Online Food Delivery Industry
    Batool Madani, Hussam Alshraideh
    http://arxiv.org/abs/2110.00502v1

    • [stat.ML]Score-Based Generative Classifiers
    Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
    http://arxiv.org/abs/2110.00473v1

    • [stat.ML]Sim and Real: Better Together
    Shirli Di Castro Shashua, Dotan Di~Castro, Shie Mannor
    http://arxiv.org/abs/2110.00445v1

    • [stat.ML]Smooth Normalizing Flows
    Jonas Köhler, Andreas Krämer, Frank Noé
    http://arxiv.org/abs/2110.00351v1

    • [stat.ML]TyXe: Pyro-based Bayesian neural nets for Pytorch
    Hippolyt Ritter, Theofanis Karaletsos
    http://arxiv.org/abs/2110.00276v1

    • [stat.ML]Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers
    Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj, Mohamed-Slim Alouini, Tareq Al-Naffouri
    http://arxiv.org/abs/2110.00567v1