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
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• [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