cs.AI - 人工智能

    cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 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.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 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.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network
    • [cs.AI]Fuzzy Stochastic Timed Petri Nets for Causal properties representation
    • [cs.AI]Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention
    • [cs.AI]Model Elicitation through Direct Questioning
    • [cs.AI]Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots
    • [cs.CE]Blade Envelopes Part I: Concept and Methodology
    • [cs.CL]A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information
    • [cs.CL]Acoustic span embeddings for multilingual query-by-example search
    • [cs.CL]Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture
    • [cs.CL]An Online Multilingual Hate speech Recognition System
    • [cs.CL]Argument from Old Man’s View: Assessing Social Bias in Argumentation
    • [cs.CL]Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems
    • [cs.CL]Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
    • [cs.CL]Domain-Transferable Method for Named Entity Recognition Task
    • [cs.CL]Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
    • [cs.CL]GLGE: A New General Language Generation Evaluation Benchmark
    • [cs.CL]Gender bias in magazines oriented to men and women: a computational approach
    • [cs.CL]Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
    • [cs.CL]Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
    • [cs.CL]Multi-task Language Modeling for Improving Speech Recognition of Rare Words
    • [cs.CL]Neural Text Classification by Jointly Learning to Cluster and Align
    • [cs.CL]Picking BERT’s Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
    • [cs.CL]Revealing the Myth of Higher-Order Inference in Coreference Resolution
    • [cs.CL]Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
    • [cs.CL]Tight Integrated End-to-End Training for Cascaded Speech Translation
    • [cs.CL]Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid
    • [cs.CL]Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
    • [cs.CL]Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
    • [cs.CL]Using Machine Learning and Natural Language Processing Techniques to Analyze and Support Moderation of Student Book Discussions
    • [cs.CR]Nudge Attacks on Point-Cloud DNNs
    • [cs.CV]Adversarial Generation of Continuous Images
    • [cs.CV]Adversarial Refinement Network for Human Motion Prediction
    • [cs.CV]Benchmarking Image Retrieval for Visual Localization
    • [cs.CV]Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
    • [cs.CV]CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
    • [cs.CV]CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
    • [cs.CV]Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
    • [cs.CV]Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
    • [cs.CV]Computational efficient deep neural network with differential attention maps for facial action unit detection
    • [cs.CV]Constraint Based Refinement of Optical Flow
    • [cs.CV]Cross-Camera Convolutional Color Constancy
    • [cs.CV]Deep learning for video game genre classification
    • [cs.CV]Dissecting Image Crops
    • [cs.CV]Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging
    • [cs.CV]DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations
    • [cs.CV]Efficient Initial Pose-graph Generation for Global SfM
    • [cs.CV]End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
    • [cs.CV]FP-NAS: Fast Probabilistic Neural Architecture Search
    • [cs.CV]GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
    • [cs.CV]GMOT-40: A Benchmark for Generic Multiple Object Tracking
    • [cs.CV]HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
    • [cs.CV]HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
    • [cs.CV]Infrared small target detection based on isotropic constraint under complex background
    • [cs.CV]Insights From A Large-Scale Database of Material Depictions In Paintings
    • [cs.CV]Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset
    • [cs.CV]Is a Green Screen Really Necessary for Real-Time Human Matting?
    • [cs.CV]KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition
    • [cs.CV]KeepAugment: A Simple Information-Preserving Data Augmentation Approach
    • [cs.CV]Learnable Boundary Guided Adversarial Training
    • [cs.CV]Learnable Gabor modulated complex-valued networks for orientation robustness
    • [cs.CV]Learning to Sample the Most Useful Training Patches from Images
    • [cs.CV]Legacy Photo Editing with Learned Noise Prior
    • [cs.CV]LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
    • [cs.CV]Low-Resolution Face Recognition In Resource-Constrained Environments
    • [cs.CV]MicroNet: Towards Image Recognition with Extremely Low FLOPs
    • [cs.CV]MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
    • [cs.CV]Multi-Features Guidance Network for partial-to-partial point cloud registration
    • [cs.CV]Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
    • [cs.CV]Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
    • [cs.CV]Object-centered image stitching
    • [cs.CV]PLOP: Learning without Forgetting for Continual Semantic Segmentation
    • [cs.CV]Persistent Mixture Model Networks for Few-Shot Image Classification
    • [cs.CV]Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation
    • [cs.CV]RIN: Textured Human Model Recovery and Imitation with a Single Image
    • [cs.CV]Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
    • [cs.CV]Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
    • [cs.CV]Robust image stitching with multiple registrations
    • [cs.CV]RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
    • [cs.CV]Rotation-Only Bundle Adjustment
    • [cs.CV]SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
    • [cs.CV]Scaling Wide Residual Networks for Panoptic Segmentation
    • [cs.CV]SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
    • [cs.CV]Siamese Tracking with Lingual Object Constraints
    • [cs.CV]SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
    • [cs.CV]Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
    • [cs.CV]Temporal Action Detection with Multi-level Supervision
    • [cs.CV]Towards Imperceptible Universal Attacks on Texture Recognition
    • [cs.CV]UKPGAN: Unsupervised KeyPoint GANeration
    • [cs.CV]Unsupervised Discovery of DisentangledManifolds in GANs
    • [cs.CV]VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
    • [cs.CV]Variational Monocular Depth Estimation for Reliability Prediction
    • [cs.CY]Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
    • [cs.CY]An analysis of replies to Trump’s tweets
    • [cs.CY]An application of cyberpsychology in business email compromise
    • [cs.CY]Development and evaluation of the use of a virtual health filter survey in a private primary education system in Baja California Mexico during the SARS-CoV-2 contingency (COVID-19)
    • [cs.DC]Cost- and QoS-Efficient Serverless Cloud Computing
    • [cs.DC]The Bloom Clock for Causality Testing
    • [cs.DC]The Chunks and Tasks Matrix Library 2.0
    • [cs.DL]Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics
    • [cs.DS]Sparse sketches with small inversion bias
    • [cs.HC]GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
    • [cs.IT]A Statistical Characterization of Localization Performance in Millimeter-Wave Cellular Networks
    • [cs.IT]Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation
    • [cs.IT]Data-aided Sensing for Gaussian Process Regression in IoT Systems
    • [cs.IT]Deep-Learning based Multiuser Detection for NOMA
    • [cs.IT]Low Complexity Precoding and Detection in Multi-user Massive MIMO OTFS Downlink
    • [cs.IT]NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels
    • [cs.IT]Non-Invertible-Element Constacyclic Codes over Finite PIRs
    • [cs.IT]Performance Evaluation and Diversity Analysis of RIS-Assisted Communications Over Generalized Fading Channels in the Presence of Phase Noise
    • [cs.IT]The 2-Adic Complexity of Two Classes of Binary Sequences with Interleaved Structure
    • [cs.IT]The 4-Adic Complexity of A Class of Quaternary Cyclotomic Sequences with Period 2p
    • [cs.IT]Two families of Entanglement-assisted Quantum MDS Codes from cyclic Codes
    • [cs.IT]Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information
    • [cs.LG]A Convenient Infinite Dimensional Framework for Generative Adversarial Learning
    • [cs.LG]A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
    • [cs.LG]A Use of Even Activation Functions in Neural Networks
    • [cs.LG]AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
    • [cs.LG]Augmented Lagrangian Adversarial Attacks
    • [cs.LG]Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
    • [cs.LG]Benchmarking Inference Performance of Deep Learning Models on Analog Devices
    • [cs.LG]Classification supporting COVID-19 diagnostics based on patient survey data
    • [cs.LG]Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
    • [cs.LG]Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data
    • [cs.LG]Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
    • [cs.LG]Efficient Sampling for Predictor-Based Neural Architecture Search
    • [cs.LG]Energy-Based Models for Continual Learning
    • [cs.LG]Generative Adversarial Stacked Autoencoders
    • [cs.LG]Hyper parameter estimation method with particle swarm optimization
    • [cs.LG]InstaHide’s Sample Complexity When Mixing Two Private Images
    • [cs.LG]Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning
    • [cs.LG]N-BEATS neural network for mid-term electricity load forecasting
    • [cs.LG]On the Adversarial Robustness of 3D Point Cloud Classification
    • [cs.LG]Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
    • [cs.LG]Predicting Parkinson’s Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
    • [cs.LG]REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning
    • [cs.LG]Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets
    • [cs.LG]Searching for Interactions: Why the Laplace Kernel is your Friend
    • [cs.LG]Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
    • [cs.LG]Stable Weight Decay Regularization
    • [cs.LG]The Interpretable Dictionary in Sparse Coding
    • [cs.LG]Time series classification for predictive maintenance on event logs
    • [cs.LG]When Machine Learning Meets Privacy: A Survey and Outlook
    • [cs.LG]Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
    • [cs.LG]xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs
    • [cs.NE]A More Biologically Plausible Local Learning Rule for ANNs
    • [cs.NE]DeepClimGAN: A High-Resolution Climate Data Generator
    • [cs.NI]Efficient Broadcast for Timely Updates in Mobile Networks
    • [cs.NI]Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON)
    • [cs.RO]A Robotic Dating Coaching System Leveraging Online Communities Posts
    • [cs.RO]Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers
    • [cs.RO]An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
    • [cs.RO]Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents
    • [cs.RO]From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
    • [cs.RO]Imagination-enabled Robot Perception
    • [cs.RO]Learning Navigation Skills for Legged Robots with Learned Robot Embeddings
    • [cs.RO]Mechanical Search on Shelves using Lateral Access X-RAY
    • [cs.RO]Multimodal dynamics modeling for off-road autonomous vehicles
    • [cs.RO]Path Planning with Automatic Seam Extraction over Point Cloud Models for Robotic Arc Welding
    • [cs.RO]RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM
    • [cs.RO]Rotational Error Metrics for Quadrotor Control
    • [cs.RO]Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
    • [cs.RO]Sequential Topological Representations for Predictive Models of Deformable Objects
    • [cs.RO]Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements
    • [cs.SD]A Novel Multimodal Music Genre Classifier using Hierarchical Attention and Convolutional Neural Network
    • [cs.SE]Code Search Intent Classification Using Weak Supervision
    • [cs.SI]Estimating network memberships by mixed regularized spectral clustering
    • [cs.SI]Revisit graph neural networks and distance encoding in a practical view
    • [econ.GN]Job Transitions in a Time of Automation and Labor Market Crises
    • [eess.AS]Streaming Multi-speaker ASR with RNN-T
    • [eess.IV]Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence
    • [eess.IV]Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
    • [eess.IV]Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks
    • [eess.IV]Blind deblurring for microscopic pathology images using deep learning networks
    • [eess.IV]Detecting hidden signs of diabetes in external eye photographs
    • [eess.IV]Discovering Hidden Physics Behind Transport Dynamics
    • [eess.IV]Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
    • [eess.IV]Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
    • [eess.IV]Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts
    • [eess.IV]SimTreeLS: Simulating aerial and terrestrial laser scans of trees
    • [eess.IV]Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models
    • [eess.IV]Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles
    • [eess.SP]Provably robust blind source separation of linear-quadratic near-separable mixtures
    • [eess.SY]A Meta-learning based Distribution System Load Forecasting Model Selection Framework
    • [math.OC]Safely Learning Dynamical Systems from Short Trajectories
    • [math.OC]Shuffling Gradient-Based Methods with Momentum
    • [math.OC]Spatiotemporal Imaging with Diffeomorphic Optimal Transportation
    • [math.PR]Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications
    • [math.PR]Uncertainty Quantification by Random Measures and Fields
    • [math.ST]An AUK-based index for measuring and testing the joint dependence of a random vector
    • [math.ST]Minimax rate of estimation for the stationary distribution of jump-processes over anisotropic Holder classes
    • [math.ST]Nonparametric Asymptotic Distributions of Pianka’s and MacArthur-Levins Measures
    • [physics.data-an]Sensitivity optimization of multichannel searches for new signals
    • [q-bio.GN]Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data
    • [q-bio.NC]Natural-gradient learning for spiking neurons
    • [quant-ph]Effect of barren plateaus on gradient-free optimization
    • [stat.AP]An end-to-end data-driven optimisation framework for constrained trajectories
    • [stat.AP]Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels
    • [stat.AP]Probabilistic modeling of discrete structural response with application to composite plate penetration models
    • [stat.AP]The causal effect of a timeout at stopping an opposing run in the NBA
    • [stat.AP]The thermal power generation and economic growth in the central and western China: A heterogeneous mixed panel Granger-Causality approach
    • [stat.AP]Trial emulation and survival analysis for disease incidence registers: a case study on the causal effect of pre-emptive kidney transplantation
    • [stat.ME]A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data
    • [stat.ME]Adaptive Smoothing Spline Estimator for the Function-on-Function Linear Regression Model
    • [stat.ME]Competition-based control of the false discovery proportion
    • [stat.ME]Finding and assessing treatment effect sweet spots in clinical trial data
    • [stat.ME]Identifying important predictors in large data bases — multiple testing and model selection
    • [stat.ME]On variance of the treatment effect in the treated using inverse probability weighting
    • [stat.ML]Lightweight Data Fusion with Conjugate Mappings
    • [stat.ML]Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes

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

    • [cs.AI]DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network
    Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan
    http://arxiv.org/abs/2011.11938v1

    • [cs.AI]Fuzzy Stochastic Timed Petri Nets for Causal properties representation
    Alejandro Sobrino, Eduardo C. Garrido-Merchan, Cristina Puente
    http://arxiv.org/abs/2011.12075v1

    • [cs.AI]Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention
    Varnith Chordia, Vijay Kumar BG
    http://arxiv.org/abs/2011.11735v1

    • [cs.AI]Model Elicitation through Direct Questioning
    Sachin Grover, David Smith, Subbarao Kambhampati
    http://arxiv.org/abs/2011.12262v1

    • [cs.AI]Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots
    Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen, Xianbin Wang
    http://arxiv.org/abs/2011.11745v1

    • [cs.CE]Blade Envelopes Part I: Concept and Methodology
    Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew Duncan, Geoffrey Parks
    http://arxiv.org/abs/2011.11636v1

    • [cs.CL]A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information
    Yingxue Fu, Elaine Ui Dhonnchadha
    http://arxiv.org/abs/2011.12265v1

    • [cs.CL]Acoustic span embeddings for multilingual query-by-example search
    Yushi Hu, Shane Settle, Karen Livescu
    http://arxiv.org/abs/2011.11807v1

    • [cs.CL]Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture
    Felipe Godoy
    http://arxiv.org/abs/2011.11773v1

    • [cs.CL]An Online Multilingual Hate speech Recognition System
    Neeraj Vashistha, Arkaitz Zubiaga
    http://arxiv.org/abs/2011.11523v2

    • [cs.CL]Argument from Old Man’s View: Assessing Social Bias in Argumentation
    Maximilian Spliethöver, Henning Wachsmuth
    http://arxiv.org/abs/2011.12014v1

    • [cs.CL]Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems
    Michael Bugert, Nils Reimers, Iryna Gurevych
    http://arxiv.org/abs/2011.12249v1

    • [cs.CL]Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
    Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava
    http://arxiv.org/abs/2011.11673v1

    • [cs.CL]Domain-Transferable Method for Named Entity Recognition Task
    Vladislav Mikhailov, Tatiana Shavrina
    http://arxiv.org/abs/2011.12170v1

    • [cs.CL]Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
    Woohwan Jung, Kyuseok Shim
    http://arxiv.org/abs/2011.11851v1

    • [cs.CL]GLGE: A New General Language Generation Evaluation Benchmark
    Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan
    http://arxiv.org/abs/2011.11928v1

    • [cs.CL]Gender bias in magazines oriented to men and women: a computational approach
    Diego Kozlowski, Gabriela Lozano, Carla M. Felcher, Fernando Gonzalez, Edgar Altszyler
    http://arxiv.org/abs/2011.12096v1

    • [cs.CL]Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
    David Beauchemin, Nicolas Garneau, Eve Gaumond, Pierre-Luc Déziel, Richard Khoury, Luc Lamontagne
    http://arxiv.org/abs/2011.12183v1

    • [cs.CL]Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
    Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
    http://arxiv.org/abs/2009.13299v1

    • [cs.CL]Multi-task Language Modeling for Improving Speech Recognition of Rare Words
    Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko
    http://arxiv.org/abs/2011.11715v1

    • [cs.CL]Neural Text Classification by Jointly Learning to Cluster and Align
    Yekun Chai, Haidong Zhang, Shuo Jin
    http://arxiv.org/abs/2011.12184v1

    • [cs.CL]Picking BERT’s Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
    Michael A. Lepori, R. Thomas McCoy
    http://arxiv.org/abs/2011.12073v1

    • [cs.CL]Revealing the Myth of Higher-Order Inference in Coreference Resolution
    Liyan Xu, Jinho D. Choi
    http://arxiv.org/abs/2009.12013v2

    • [cs.CL]Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
    Suk Joon Hong, Brandon Bennett
    http://arxiv.org/abs/2011.12081v1

    • [cs.CL]Tight Integrated End-to-End Training for Cascaded Speech Translation
    Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2011.12167v1

    • [cs.CL]Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid
    Parnia Bahar, Christopher Brix, Hermann Ney
    http://arxiv.org/abs/2011.12165v1

    • [cs.CL]Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
    Ana Valeria Gonzalez, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard
    http://arxiv.org/abs/2009.11982v2

    • [cs.CL]Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
    Michael A. Lepori
    http://arxiv.org/abs/2011.12086v1

    • [cs.CL]Using Machine Learning and Natural Language Processing Techniques to Analyze and Support Moderation of Student Book Discussions
    Jernej Vivod
    http://arxiv.org/abs/2011.11712v1

    • [cs.CR]Nudge Attacks on Point-Cloud DNNs
    Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross Anderson
    http://arxiv.org/abs/2011.11637v1

    • [cs.CV]Adversarial Generation of Continuous Images
    Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny
    http://arxiv.org/abs/2011.12026v1

    • [cs.CV]Adversarial Refinement Network for Human Motion Prediction
    Xianjin Chao, Yanrui Bin, Wenqing Chu, Xuan Cao, Yanhao Ge, Chengjie Wang, Jilin Li, Feiyue Huang, Howard Leung
    http://arxiv.org/abs/2011.11221v2

    • [cs.CV]Benchmarking Image Retrieval for Visual Localization
    Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler
    http://arxiv.org/abs/2011.11946v1

    • [cs.CV]Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
    Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
    http://arxiv.org/abs/2011.11765v1

    • [cs.CV]CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
    Jeong-gi Kwak, David K. Han, Hanseok Ko
    http://arxiv.org/abs/2011.11900v1

    • [cs.CV]CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
    Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
    http://arxiv.org/abs/2011.12077v1

    • [cs.CV]Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
    Yang You, Zelin Ye, Yujing Lou, Chengkun Li, Yong-Lu Li, Lizhuang Ma, Weiming Wang, Cewu Lu
    http://arxiv.org/abs/2011.12001v1

    • [cs.CV]Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
    Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
    http://arxiv.org/abs/2011.11834v1

    • [cs.CV]Computational efficient deep neural network with differential attention maps for facial action unit detection
    Jing Chen, Chenhui Wang, Kejun Wang, Meichen Liu
    http://arxiv.org/abs/2011.12082v1

    • [cs.CV]Constraint Based Refinement of Optical Flow
    Hirak Doshi, N. Uday Kiran
    http://arxiv.org/abs/2011.12267v1

    • [cs.CV]Cross-Camera Convolutional Color Constancy
    Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel
    http://arxiv.org/abs/2011.11890v1

    • [cs.CV]Deep learning for video game genre classification
    Yuhang Jiang, Lukun Zheng
    http://arxiv.org/abs/2011.12143v1

    • [cs.CV]Dissecting Image Crops
    Basile Van Hoorick, Carl Vondrick
    http://arxiv.org/abs/2011.11831v1

    • [cs.CV]Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging
    Qing Gao, Mingtao Pei, Hongyu Shen
    http://arxiv.org/abs/2011.12102v1

    • [cs.CV]DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations
    Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao
    http://arxiv.org/abs/2011.11953v1

    • [cs.CV]Efficient Initial Pose-graph Generation for Global SfM
    Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas
    http://arxiv.org/abs/2011.11986v1

    • [cs.CV]End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
    Carlos Mauricio Villegas Burgos, Tianqi Yang, Nick Vamivakas, Yuhao Zhu
    http://arxiv.org/abs/2011.11728v1

    • [cs.CV]FP-NAS: Fast Probabilistic Neural Architecture Search
    Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
    http://arxiv.org/abs/2011.10949v2

    • [cs.CV]GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
    Michael Niemeyer, Andreas Geiger
    http://arxiv.org/abs/2011.12100v1

    • [cs.CV]GMOT-40: A Benchmark for Generic Multiple Object Tracking
    Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling
    http://arxiv.org/abs/2011.11858v1

    • [cs.CV]HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
    Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
    http://arxiv.org/abs/2011.11731v1

    • [cs.CV]HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
    Cheng Sun, Min Sun, Hwann-Tzong Chen
    http://arxiv.org/abs/2011.11498v2

    • [cs.CV]Infrared small target detection based on isotropic constraint under complex background
    Fan Wang
    http://arxiv.org/abs/2011.12059v1

    • [cs.CV]Insights From A Large-Scale Database of Material Depictions In Paintings
    Hubert Lin, Mitchell Van Zuijlen, Maarten W. A. Wijntjes, Sylvia C. Pont, Kavita Bala
    http://arxiv.org/abs/2011.12276v1

    • [cs.CV]Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset
    Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
    http://arxiv.org/abs/2011.12263v1

    • [cs.CV]Is a Green Screen Really Necessary for Real-Time Human Matting?
    Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau
    http://arxiv.org/abs/2011.11961v1

    • [cs.CV]KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition
    Racha Friji, Hassen Drira, Faten Chaieb, Sebastian Kurtek, Hamza Kchok
    http://arxiv.org/abs/2011.12004v1

    • [cs.CV]KeepAugment: A Simple Information-Preserving Data Augmentation Approach
    Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
    http://arxiv.org/abs/2011.11778v1

    • [cs.CV]Learnable Boundary Guided Adversarial Training
    Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia
    http://arxiv.org/abs/2011.11164v1

    • [cs.CV]Learnable Gabor modulated complex-valued networks for orientation robustness
    Felix Richards, Adeline Paiement, Xianghua Xie, Pierre-Alain Duc
    http://arxiv.org/abs/2011.11734v1

    • [cs.CV]Learning to Sample the Most Useful Training Patches from Images
    Shuyang Sun, Liang Chen, Gregory Slabaugh, Philip Torr
    http://arxiv.org/abs/2011.12097v1

    • [cs.CV]Legacy Photo Editing with Learned Noise Prior
    Zhao Yuzhi, Po Lai-Man, Wang Xuehui, Liu Kangcheng, Zhang Yujia, Yu Wing-Yin, Xian Pengfei, Xiong Jingjing
    http://arxiv.org/abs/2011.11309v2

    • [cs.CV]LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
    Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu
    http://arxiv.org/abs/2011.11964v1

    • [cs.CV]Low-Resolution Face Recognition In Resource-Constrained Environments
    Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, C. -C. Jay Kuo
    http://arxiv.org/abs/2011.11674v1

    • [cs.CV]MicroNet: Towards Image Recognition with Extremely Low FLOPs
    Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos
    http://arxiv.org/abs/2011.12289v1

    • [cs.CV]MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
    Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
    http://arxiv.org/abs/2011.11814v1

    • [cs.CV]Multi-Features Guidance Network for partial-to-partial point cloud registration
    Hongyuan Wang, Xiang Liu, Wen Kang, Zhiqiang Yan, Bingwen Wang, Qianhao Ning
    http://arxiv.org/abs/2011.12079v1

    • [cs.CV]Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
    Chuhua Xian, Kun Qian, Zitian Zhang, Charlie C. L. Wang
    http://arxiv.org/abs/2011.11865v1

    • [cs.CV]Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
    Ali Babolhavaeji, Mohammad Fanaei
    http://arxiv.org/abs/2011.12256v1

    • [cs.CV]Object-centered image stitching
    Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
    http://arxiv.org/abs/2011.11789v1

    • [cs.CV]PLOP: Learning without Forgetting for Continual Semantic Segmentation
    Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
    http://arxiv.org/abs/2011.11390v2

    • [cs.CV]Persistent Mixture Model Networks for Few-Shot Image Classification
    Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
    http://arxiv.org/abs/2011.11872v1

    • [cs.CV]Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation
    David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli, Nóra Baka
    http://arxiv.org/abs/2011.11787v1

    • [cs.CV]RIN: Textured Human Model Recovery and Imitation with a Single Image
    Haoxi Ran, Guangfu Wang, Li Lu
    http://arxiv.org/abs/2011.12024v1

    • [cs.CV]Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
    Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao
    http://arxiv.org/abs/2011.12104v1

    • [cs.CV]Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
    Zitong Yu, Xiaobai Li, Jingang Shi, Zhaoqiang Xia, Guoying Zhao
    http://arxiv.org/abs/2011.12032v1

    • [cs.CV]Robust image stitching with multiple registrations
    Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
    http://arxiv.org/abs/2011.11784v1

    • [cs.CV]RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
    Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
    http://arxiv.org/abs/2011.11572v2

    • [cs.CV]Rotation-Only Bundle Adjustment
    Seong Hun Lee, Javier Civera
    http://arxiv.org/abs/2011.11724v1

    • [cs.CV]SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
    Xirong Li, Fangming Zhou, Chaoxi Xu, Jiaqi Ji, Gang Yang
    http://arxiv.org/abs/2011.12091v1

    • [cs.CV]Scaling Wide Residual Networks for Panoptic Segmentation
    Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao
    http://arxiv.org/abs/2011.11675v1

    • [cs.CV]SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
    Thomas Verelst, Tinne Tuytelaars
    http://arxiv.org/abs/2011.12025v1

    • [cs.CV]Siamese Tracking with Lingual Object Constraints
    Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta
    http://arxiv.org/abs/2011.11721v1

    • [cs.CV]SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
    Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
    http://arxiv.org/abs/2011.12149v1

    • [cs.CV]Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
    Qing Zhu, Qishen Shang, Han Hu, Haojia Yu, Ruofei Zhong
    http://arxiv.org/abs/2011.11210v2

    • [cs.CV]Temporal Action Detection with Multi-level Supervision
    Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
    http://arxiv.org/abs/2011.11893v1

    • [cs.CV]Towards Imperceptible Universal Attacks on Texture Recognition
    Yingpeng Deng, Lina J. Karam
    http://arxiv.org/abs/2011.11957v1

    • [cs.CV]UKPGAN: Unsupervised KeyPoint GANeration
    Yang You, Wenhai Liu, Yong-Lu Li, Weiming Wang, Cewu Lu
    http://arxiv.org/abs/2011.11974v1

    • [cs.CV]Unsupervised Discovery of DisentangledManifolds in GANs
    Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang
    http://arxiv.org/abs/2011.11842v1

    • [cs.CV]VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
    Sijie Zhu, Taojiannan Yang, Chen Chen
    http://arxiv.org/abs/2011.12172v1

    • [cs.CV]Variational Monocular Depth Estimation for Reliability Prediction
    Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide
    http://arxiv.org/abs/2011.11912v1

    • [cs.CY]Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
    Lakmal Meegahapola, Salvador Ruiz-Correa, Daniel Gatica-Perez
    http://arxiv.org/abs/2011.11694v1

    • [cs.CY]An analysis of replies to Trump’s tweets
    Zijian An, Kenneth Joseph
    http://arxiv.org/abs/2011.11688v1

    • [cs.CY]An application of cyberpsychology in business email compromise
    Shadrack Awah Buo
    http://arxiv.org/abs/2011.11112v2

    • [cs.CY]Development and evaluation of the use of a virtual health filter survey in a private primary education system in Baja California Mexico during the SARS-CoV-2 contingency (COVID-19)
    G. S. Romo-Cárdenas, M. A. Cosío-León, G. J. Avilés-Rodriguez, N. Isiodoro-Carballo, E. Zuñiga-Violante, J. dD. Sánchez-López, J. I. Nieto-Hipólito
    http://arxiv.org/abs/2011.11764v1

    • [cs.DC]Cost- and QoS-Efficient Serverless Cloud Computing
    Chavit Denninnart
    http://arxiv.org/abs/2011.11711v1

    • [cs.DC]The Bloom Clock for Causality Testing
    Anshuman Misra, Ajay D. Kshemkalyani
    http://arxiv.org/abs/2011.11744v1

    • [cs.DC]The Chunks and Tasks Matrix Library 2.0
    Emanuel H. Rubensson, Elias Rudberg, Anastasia Kruchinina, Anton G. Artemov
    http://arxiv.org/abs/2011.11762v1

    • [cs.DL]Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics
    Zhiqi Wang, Yue Chen, Wolfgang Glänzel
    http://arxiv.org/abs/2011.11940v1

    • [cs.DS]Sparse sketches with small inversion bias
    Michał Dereziński, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney
    http://arxiv.org/abs/2011.10695v1

    • [cs.HC]GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
    Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
    http://arxiv.org/abs/2011.11048v2

    • [cs.IT]A Statistical Characterization of Localization Performance in Millimeter-Wave Cellular Networks
    Jiajun He, Young Jin Chun
    http://arxiv.org/abs/2011.11925v1

    • [cs.IT]Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation
    Tadashi Wadayama, Satoshi Takabe
    http://arxiv.org/abs/2011.11927v1

    • [cs.IT]Data-aided Sensing for Gaussian Process Regression in IoT Systems
    Jinho Choi
    http://arxiv.org/abs/2011.11725v1

    • [cs.IT]Deep-Learning based Multiuser Detection for NOMA
    Krishna Chitti, Joao Vieira, Behrooz Makki
    http://arxiv.org/abs/2011.11752v1

    • [cs.IT]Low Complexity Precoding and Detection in Multi-user Massive MIMO OTFS Downlink
    Brijesh Chander Pandey, Saif Khan Mohammed, P. Raviteja, Yi Hong, Emanuele Viterbo
    http://arxiv.org/abs/2011.12241v1

    • [cs.IT]NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels
    Vaibhav Kumar, Barry Cardiff, Mark F Flanagan
    http://arxiv.org/abs/2011.11692v1

    • [cs.IT]Non-Invertible-Element Constacyclic Codes over Finite PIRs
    Hongwei Liu, Jingge Liu
    http://arxiv.org/abs/2011.12049v1

    • [cs.IT]Performance Evaluation and Diversity Analysis of RIS-Assisted Communications Over Generalized Fading Channels in the Presence of Phase Noise
    Imene Trigui, Wessam Ajib, Wei-Ping Zhu, Marco Di Renzo
    http://arxiv.org/abs/2011.12260v1

    • [cs.IT]The 2-Adic Complexity of Two Classes of Binary Sequences with Interleaved Structure
    Shiyuan Qiang, Xiaoyan Jing, Minghui Yang
    http://arxiv.org/abs/2011.12080v1

    • [cs.IT]The 4-Adic Complexity of A Class of Quaternary Cyclotomic Sequences with Period 2p
    Shiyuan Qiang, Yan Li, Minghui Yang, Keqin Feng
    http://arxiv.org/abs/2011.11875v1

    • [cs.IT]Two families of Entanglement-assisted Quantum MDS Codes from cyclic Codes
    Liangdong Lu, Wenping Ma, Ruihu Li, Hao Cao
    http://arxiv.org/abs/2011.12232v1

    • [cs.IT]Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information
    Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
    http://arxiv.org/abs/2011.12160v1

    • [cs.LG]A Convenient Infinite Dimensional Framework for Generative Adversarial Learning
    Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann
    http://arxiv.org/abs/2011.12087v1

    • [cs.LG]A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
    Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
    http://arxiv.org/abs/2011.11066v2

    • [cs.LG]A Use of Even Activation Functions in Neural Networks
    Fuchang Gao, Boyu Zhang
    http://arxiv.org/abs/2011.11713v1

    • [cs.LG]AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
    Chengyue Gong, Dilin Wang, Qiang Liu
    http://arxiv.org/abs/2011.11779v1

    • [cs.LG]Augmented Lagrangian Adversarial Attacks
    Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
    http://arxiv.org/abs/2011.11857v1

    • [cs.LG]Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
    Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng
    http://arxiv.org/abs/2011.11933v1

    • [cs.LG]Benchmarking Inference Performance of Deep Learning Models on Analog Devices
    Omobayode Fagbohungbe, Lijun Qian
    http://arxiv.org/abs/2011.11840v1

    • [cs.LG]Classification supporting COVID-19 diagnostics based on patient survey data
    Joanna Henzel, Joanna Tobiasz, Michał Kozielski, Małgorzata Bach, Paweł Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora
    http://arxiv.org/abs/2011.12247v1

    • [cs.LG]Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
    Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
    http://arxiv.org/abs/2011.11878v1

    • [cs.LG]Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data
    Hao Xu, Dongxiao Zhang, Nanzhe Wang
    http://arxiv.org/abs/2011.11981v1

    • [cs.LG]Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
    Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon
    http://arxiv.org/abs/2011.11991v1

    • [cs.LG]Efficient Sampling for Predictor-Based Neural Architecture Search
    Lukas Mauch, Stephen Tiedemann, Javier Alonso Garcia, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp
    http://arxiv.org/abs/2011.12043v1

    • [cs.LG]Energy-Based Models for Continual Learning
    Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch
    http://arxiv.org/abs/2011.12216v1

    • [cs.LG]Generative Adversarial Stacked Autoencoders
    Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks
    http://arxiv.org/abs/2011.12236v1

    • [cs.LG]Hyper parameter estimation method with particle swarm optimization
    Yaru Li, Yulai Zhang
    http://arxiv.org/abs/2011.11944v1

    • [cs.LG]InstaHide’s Sample Complexity When Mixing Two Private Images
    Baihe Huang, Zhao Song, Runzhou Tao, Ruizhe Zhang, Danyang Zhuo
    http://arxiv.org/abs/2011.11877v1

    • [cs.LG]Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning
    Aneesh Pappu, Brooks Paige
    http://arxiv.org/abs/2011.12203v1

    • [cs.LG]N-BEATS neural network for mid-term electricity load forecasting
    Boris N. Oreshkin, Grzegorz Dudek, Paweł Pełka
    http://arxiv.org/abs/2009.11961v1

    • [cs.LG]On the Adversarial Robustness of 3D Point Cloud Classification
    Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, Z. Morley Mao
    http://arxiv.org/abs/2011.11922v1

    • [cs.LG]Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
    Gauthier Guinet, Valerio Perrone, Cédric Archambeau
    http://arxiv.org/abs/2011.11456v2

    • [cs.LG]Predicting Parkinson’s Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
    Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo
    http://arxiv.org/abs/2009.11999v2

    • [cs.LG]REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning
    Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya
    http://arxiv.org/abs/2011.11827v1

    • [cs.LG]Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets
    Charilaos Mylonas, Eleni Chatzi
    http://arxiv.org/abs/2011.11740v1

    • [cs.LG]Searching for Interactions: Why the Laplace Kernel is your Friend
    Keli Liu, Feng Ruan
    http://arxiv.org/abs/2011.12215v1

    • [cs.LG]Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
    Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
    http://arxiv.org/abs/2009.13303v1

    • [cs.LG]Stable Weight Decay Regularization
    Zeke Xie, Issei Sato, Masashi Sugiyama
    http://arxiv.org/abs/2011.11152v2

    • [cs.LG]The Interpretable Dictionary in Sparse Coding
    Edward Kim, Connor Onweller, Andrew O’Brien, Kathleen McCoy
    http://arxiv.org/abs/2011.11805v1

    • [cs.LG]Time series classification for predictive maintenance on event logs
    Antoine Guillaume, Christel Vrain, Elloumi Wael
    http://arxiv.org/abs/2011.10996v2

    • [cs.LG]When Machine Learning Meets Privacy: A Survey and Outlook
    Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
    http://arxiv.org/abs/2011.11819v1

    • [cs.LG]Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
    Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel Mckenzie, Tachin Ruangkriengsin, Andrea Bertozzi, Jeffrey Brantingham
    http://arxiv.org/abs/2011.11804v1

    • [cs.LG]xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs
    Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang
    http://arxiv.org/abs/2011.12193v1

    • [cs.NE]A More Biologically Plausible Local Learning Rule for ANNs
    Shashi Kant Gupta
    http://arxiv.org/abs/2011.12012v1

    • [cs.NE]DeepClimGAN: A High-Resolution Climate Data Generator
    Alexandra Puchko, Robert Link, Brian Hutchinson, Ben Kravitz, Abigail Snyder
    http://arxiv.org/abs/2011.11705v1

    • [cs.NI]Efficient Broadcast for Timely Updates in Mobile Networks
    Yu-Pin Hsu
    http://arxiv.org/abs/2011.11463v2

    • [cs.NI]Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON)
    Srinivasan Sridharan
    http://arxiv.org/abs/2011.12288v1

    • [cs.RO]A Robotic Dating Coaching System Leveraging Online Communities Posts
    Sihyeon Jo, Donghwi Jung, Keonwoo Kim, Eun Gyo Joung, Giulia Nespoli, Seungryong Yoo, Minseob So, Seung-Woo Seo, Seong-Woo Kim
    http://arxiv.org/abs/2011.11855v1

    • [cs.RO]Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers
    Minjian Xin, Guangming Wang, Zhe Liu, Hesheng Wang
    http://arxiv.org/abs/2011.12105v1

    • [cs.RO]An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
    Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros, José D. P. Silva, Lucas D. Maciel, Tsang Ing Ren, Edna N. S. Barros, Pedro H. M. Braga, Hansenclever F. Bassani
    http://arxiv.org/abs/2011.11785v1

    • [cs.RO]Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents
    Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John Bateman
    http://arxiv.org/abs/2011.11972v1

    • [cs.RO]From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
    Deepali Jain, Atil Iscen, Ken Caluwaerts
    http://arxiv.org/abs/2011.11722v1

    • [cs.RO]Imagination-enabled Robot Perception
    Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz
    http://arxiv.org/abs/2011.11397v2

    • [cs.RO]Learning Navigation Skills for Legged Robots with Learned Robot Embeddings
    Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai
    http://arxiv.org/abs/2011.12255v1

    • [cs.RO]Mechanical Search on Shelves using Lateral Access X-RAY
    Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
    http://arxiv.org/abs/2011.11696v1

    • [cs.RO]Multimodal dynamics modeling for off-road autonomous vehicles
    Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger
    http://arxiv.org/abs/2011.11751v1

    • [cs.RO]Path Planning with Automatic Seam Extraction over Point Cloud Models for Robotic Arc Welding
    Peng Zhou, Rui Peng, Maggie Xu, Victor Wu, David Navarro-Alarcon
    http://arxiv.org/abs/2011.11951v1

    • [cs.RO]RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM
    Tong Ke, Kejian J. Wu, Stergios I. Roumeliotis
    http://arxiv.org/abs/2011.11730v1

    • [cs.RO]Rotational Error Metrics for Quadrotor Control
    Alexander Spitzer, Nathan Michael
    http://arxiv.org/abs/2011.11909v1

    • [cs.RO]Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
    Ahmadreza Ahmadi, Tønnes Nygaard, Navinda Kottege, David Howard, Nicolas Hudson
    http://arxiv.org/abs/2011.11913v1

    • [cs.RO]Sequential Topological Representations for Predictive Models of Deformable Objects
    Rika Antonova, Anastasiia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic
    http://arxiv.org/abs/2011.11693v1

    • [cs.RO]Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements
    Ke Sun, Brent Schlotfeldt George Pappas, Vijay Kumar
    http://arxiv.org/abs/2011.11836v1

    • [cs.SD]A Novel Multimodal Music Genre Classifier using Hierarchical Attention and Convolutional Neural Network
    Manish Agrawal, Abhilash Nandy
    http://arxiv.org/abs/2011.11970v1

    • [cs.SE]Code Search Intent Classification Using Weak Supervision
    Nikitha Rao, Chetan Bansal, Joe Guan
    http://arxiv.org/abs/2011.11950v1

    • [cs.SI]Estimating network memberships by mixed regularized spectral clustering
    Huan Qing, Jingli Wang
    http://arxiv.org/abs/2011.12239v1

    • [cs.SI]Revisit graph neural networks and distance encoding in a practical view
    Haoteng Yin, Yanbang Wang, Pan Li
    http://arxiv.org/abs/2011.12228v1

    • [econ.GN]Job Transitions in a Time of Automation and Labor Market Crises
    Nikolas Dawson, Marian-Andrei Rizoiu, Mary-Anne Williams
    http://arxiv.org/abs/2011.11801v1

    • [eess.AS]Streaming Multi-speaker ASR with RNN-T
    Ilya Sklyar, Anna Piunova, Yulan Liu
    http://arxiv.org/abs/2011.11671v1

    • [eess.IV]Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence
    Rassa Ghavami, Mehrab Hamidi, Saeed Masoudian, Amir Mohseni, Hamzeh Lotfalinezhad, Mohammad Ali Kazemi, Behnaz Moradi, Mahyar Ghafoori, Omid Motamedi, Omid Pournik, Kiara Rezaei-Kalantari, Amirreza Manteghinezhad, Shaghayegh Haghjooy, Fateme Abdoli Nezhad, Ahmad Enhesari, Mohammad Saeed Kheyrkhah, Razieh Eghtesadi, Javid Azadbakht, Akbar Aliasgharzadeh, Mohammad Reza Sharif, Ali Khaleghi, Abbas Foroutan, Hossein Ghanaati, Hamed Dashti, Hamid R. Rabiee
    http://arxiv.org/abs/2011.11736v1

    • [eess.IV]Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
    Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-zhong Yang
    http://arxiv.org/abs/2011.11952v1

    • [eess.IV]Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks
    Mostafa Jahanifar, Neda Zamani Tajeddin, Meisam Hasani, Babak Shekarchi, Kamran Azema
    http://arxiv.org/abs/2011.11777v1

    • [eess.IV]Blind deblurring for microscopic pathology images using deep learning networks
    Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao
    http://arxiv.org/abs/2011.11879v1

    • [eess.IV]Detecting hidden signs of diabetes in external eye photographs
    Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Maa, Jorge Cuadros, Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash Varadarajan, Naama Hammel, Yun Liu
    http://arxiv.org/abs/2011.11732v1

    • [eess.IV]Discovering Hidden Physics Behind Transport Dynamics
    Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer
    http://arxiv.org/abs/2011.12222v1

    • [eess.IV]Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
    Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikolaos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
    http://arxiv.org/abs/2011.11719v1

    • [eess.IV]Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
    Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
    http://arxiv.org/abs/2011.11750v1

    • [eess.IV]Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts
    Alex Ling Yu Hung, John Galeotti
    http://arxiv.org/abs/2011.11962v1

    • [eess.IV]SimTreeLS: Simulating aerial and terrestrial laser scans of trees
    Fredrik Westling, Mitch Bryson, James Underwood
    http://arxiv.org/abs/2011.11954v1

    • [eess.IV]Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models
    Alex Ling Yu Hung, Wanwen Chen, John Galeotti
    http://arxiv.org/abs/2011.11956v1

    • [eess.IV]Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles
    Alex Ling Yu Hung, Edward Chen, John Galeotti
    http://arxiv.org/abs/2011.11958v1

    • [eess.SP]Provably robust blind source separation of linear-quadratic near-separable mixtures
    Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
    http://arxiv.org/abs/2011.11966v1

    • [eess.SY]A Meta-learning based Distribution System Load Forecasting Model Selection Framework
    Yiyan Li, Si Zhang, Rongxing Hu, Ning Lu
    http://arxiv.org/abs/2009.12001v1

    • [math.OC]Safely Learning Dynamical Systems from Short Trajectories
    Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu
    http://arxiv.org/abs/2011.12257v1

    • [math.OC]Shuffling Gradient-Based Methods with Momentum
    Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh
    http://arxiv.org/abs/2011.11884v1

    • [math.OC]Spatiotemporal Imaging with Diffeomorphic Optimal Transportation
    Chong Chen
    http://arxiv.org/abs/2011.11906v1

    • [math.PR]Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications
    Quentin Duchemin, Yohann de Castro, Claire Lacour
    http://arxiv.org/abs/2011.11435v1

    • [math.PR]Uncertainty Quantification by Random Measures and Fields
    Caleb Deen Bastian, Herschel Rabitz
    http://arxiv.org/abs/2011.12116v1

    • [math.ST]An AUK-based index for measuring and testing the joint dependence of a random vector
    Georgios Afendras, Marianthi Markatou, Albert Vexler
    http://arxiv.org/abs/2011.12268v1

    • [math.ST]Minimax rate of estimation for the stationary distribution of jump-processes over anisotropic Holder classes
    Chiara Amorino
    http://arxiv.org/abs/2011.11994v1

    • [math.ST]Nonparametric Asymptotic Distributions of Pianka’s and MacArthur-Levins Measures
    Tareq Alodat, M. T. Alodat, Dareen Omari
    http://arxiv.org/abs/2011.12156v1

    • [physics.data-an]Sensitivity optimization of multichannel searches for new signals
    Giovanni Punzi
    http://arxiv.org/abs/2011.11770v1

    • [q-bio.GN]Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data
    Thi Kim Hue Nguyen, Koen Van den Berge, Monica Chiogna, Davide Risso
    http://arxiv.org/abs/2011.12044v1

    • [q-bio.NC]Natural-gradient learning for spiking neurons
    Elena Kreutzer, Walter M. Senn, Mihai A. Petrovici
    http://arxiv.org/abs/2011.11710v1

    • [quant-ph]Effect of barren plateaus on gradient-free optimization
    Andrew Arrasmith, M. Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
    http://arxiv.org/abs/2011.12245v1

    • [stat.AP]An end-to-end data-driven optimisation framework for constrained trajectories
    Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle
    http://arxiv.org/abs/2011.11820v1

    • [stat.AP]Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels
    Gurcan Comert
    http://arxiv.org/abs/2011.11866v1

    • [stat.AP]Probabilistic modeling of discrete structural response with application to composite plate penetration models
    Anindya Bhaduri, Christopher S. Meyer, John W. Gillespie Jr., Bazle Z. Haque, Michael D. Shields, Lori Graham-Brady
    http://arxiv.org/abs/2011.11780v1

    • [stat.AP]The causal effect of a timeout at stopping an opposing run in the NBA
    Connor Gibbs, Ryan Elmore, Bailey Fosdick
    http://arxiv.org/abs/2011.11691v1

    • [stat.AP]The thermal power generation and economic growth in the central and western China: A heterogeneous mixed panel Granger-Causality approach
    Jie Ni, Jiayi Qian, Yixiao Lu, Hong Cheng
    http://arxiv.org/abs/2011.12161v1

    • [stat.AP]Trial emulation and survival analysis for disease incidence registers: a case study on the causal effect of pre-emptive kidney transplantation
    Camila Olarte Parra, Ingeborg Waernbaum, Staffan Schön, Els Goetghebeur
    http://arxiv.org/abs/2011.11771v1

    • [stat.ME]A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data
    Binhuan Wang, Lanqiu Yao, Jiyuan Hu, Huilin Li
    http://arxiv.org/abs/2011.12182v1

    • [stat.ME]Adaptive Smoothing Spline Estimator for the Function-on-Function Linear Regression Model
    Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini
    http://arxiv.org/abs/2011.12036v1

    • [stat.ME]Competition-based control of the false discovery proportion
    Dong Luo, Yilun He, Kristen Emery, William Stafford Noble, Uri Keich
    http://arxiv.org/abs/2011.11939v1

    • [stat.ME]Finding and assessing treatment effect sweet spots in clinical trial data
    Erin Craig, Donald A Redelmeier, Robert J Tibshirani
    http://arxiv.org/abs/2011.10157v2

    • [stat.ME]Identifying important predictors in large data bases — multiple testing and model selection
    Malgorzata Bogdan, Florian Frommlet
    http://arxiv.org/abs/2011.12154v1

    • [stat.ME]On variance of the treatment effect in the treated using inverse probability weighting
    Sarah A. Reifeis, Michael G. Hudgens
    http://arxiv.org/abs/2011.11874v1

    • [stat.ML]Lightweight Data Fusion with Conjugate Mappings
    Christopher L. Dean, Stephen J. Lee, Jason Pacheco, John W. Fisher III
    http://arxiv.org/abs/2011.10607v1

    • [stat.ML]Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
    Heejune Sheen, Xiaonan Zhu, Yao Xie
    http://arxiv.org/abs/2011.12151v1