cond-mat.soft - 软凝聚物质

    cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MS - 数学软件 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.EM - 计量经济学 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 hep-th - 高能物理理论 math-ph - 数学物理 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.OT - 其他定量生物学 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.soft]Polymer Informatics: Current Status and Critical Next Steps
    • [cs.AI]A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem
    • [cs.AI]Advanced Semantics for Commonsense Knowledge Extraction
    • [cs.AI]Generating Correct Answers for Progressive Matrices Intelligence Tests
    • [cs.AI]Measuring Place Function Similarity with Trajectory Embedding
    • [cs.AI]Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints
    • [cs.AR]On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator
    • [cs.AR]SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy
    • [cs.CL]A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
    • [cs.CL]A New Neural Search and Insights Platform for Navigating and Organizing AI Research
    • [cs.CL]A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification
    • [cs.CL]A Unifying Theory of Transition-based and Sequence Labeling Parsing
    • [cs.CL]ABNIRML: Analyzing the Behavior of Neural IR Models
    • [cs.CL]ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset
    • [cs.CL]Abstracting Influence Paths for Explaining (Contextualization of) BERT Models
    • [cs.CL]Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
    • [cs.CL]An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution
    • [cs.CL]Analyzing Gender Bias within Narrative Tropes
    • [cs.CL]Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition
    • [cs.CL]Aspect-Based Argument Mining
    • [cs.CL]Aspectuality Across Genre: A Distributional Semantics Approach
    • [cs.CL]Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive
    • [cs.CL]Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
    • [cs.CL]Biased TextRank: Unsupervised Graph-Based Content Extraction
    • [cs.CL]Bracketing Encodings for 2-Planar Dependency Parsing
    • [cs.CL]CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
    • [cs.CL]COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
    • [cs.CL]Combining Event Semantics and Degree Semantics for Natural Language Inference
    • [cs.CL]Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
    • [cs.CL]Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
    • [cs.CL]Context Dependent Semantic Parsing: A Survey
    • [cs.CL]Context-Aware Cross-Attention for Non-Autoregressive Translation
    • [cs.CL]DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
    • [cs.CL]Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems
    • [cs.CL]Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization
    • [cs.CL]Deep Learning for Text Attribute Transfer: A Survey
    • [cs.CL]Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
    • [cs.CL]Dynamic Data Selection for Curriculum Learning via Ability Estimation
    • [cs.CL]Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting
    • [cs.CL]Efficient Arabic emotion recognition using deep neural networks
    • [cs.CL]Emergent Communication Pretraining for Few-Shot Machine Translation
    • [cs.CL]Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders
    • [cs.CL]Evaluating Bias In Dutch Word Embeddings
    • [cs.CL]Event-Related Bias Removal for Real-time Disaster Events
    • [cs.CL]Exploring Question-Specific Rewards for Generating Deep Questions
    • [cs.CL]Fake or Real? A Study of Arabic Satirical Fake News
    • [cs.CL]Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
    • [cs.CL]Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
    • [cs.CL]How Domain Terminology Affects Meeting Summarization Performance
    • [cs.CL]How Far Does BERT Look At:Distance-based Clustering and Analysis of BERTś Attention
    • [cs.CL]I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning
    • [cs.CL]Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
    • [cs.CL]Improving Cyberbully Detection with User Interaction
    • [cs.CL]Improving Dialogue Breakdown Detection with Semi-Supervised Learning
    • [cs.CL]Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
    • [cs.CL]IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP
    • [cs.CL]Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
    • [cs.CL]Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
    • [cs.CL]Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
    • [cs.CL]Joint Masked CPC and CTC Training for ASR
    • [cs.CL]Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
    • [cs.CL]Liputan6: A Large-scale Indonesian Dataset for Text Summarization
    • [cs.CL]Method of the coherence evaluation of Ukrainian text
    • [cs.CL]MixKD: Towards Efficient Distillation of Large-scale Language Models
    • [cs.CL]Neural Coreference Resolution for Arabic
    • [cs.CL]Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies
    • [cs.CL]Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification
    • [cs.CL]Personalized Multimodal Feedback Generation in Education
    • [cs.CL]QMUL-SDS at SardiStance2020: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
    • [cs.CL]Reasoning Over History: Context Aware Visual Dialog
    • [cs.CL]Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey
    • [cs.CL]Reducing Confusion in Active Learning for Part-Of-Speech Tagging
    • [cs.CL]Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
    • [cs.CL]SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training
    • [cs.CL]Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels
    • [cs.CL]Semantic coordinates analysis reveals language changes in the AI field
    • [cs.CL]Semi-supervised Autoencoding Projective Dependency Parsing
    • [cs.CL]Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
    • [cs.CL]Social Chemistry 101: Learning to Reason about Social and Moral Norms
    • [cs.CL]Streaming Simultaneous Speech Translation with Augmented Memory Transformer
    • [cs.CL]Targeted Poisoning Attacks on Black-Box Neural Machine Translation
    • [cs.CL]The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
    • [cs.CL]Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction
    • [cs.CL]Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
    • [cs.CL]Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
    • [cs.CL]Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
    • [cs.CL]WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
    • [cs.CL]ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN
    • [cs.CR]Adversarial Examples in Constrained Domains
    • [cs.CR]EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
    • [cs.CR]Low Latency Cross-Shard Transactions in Coded Blockchain
    • [cs.CR]Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
    • [cs.CR]Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
    • [cs.CR]Watermarking Graph Neural Networks by Random Graphs
    • [cs.CV]3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
    • [cs.CV]A Parallel Approach for Real-Time Face Recognition from a Large Database
    • [cs.CV]A Survey on Contrastive Self-supervised Learning
    • [cs.CV]A topological approach to exploring convolutional neural networks
    • [cs.CV]Actor and Action Modular Network for Text-based Video Segmentation
    • [cs.CV]Adversarial Self-Supervised Scene Flow Estimation
    • [cs.CV]Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images
    • [cs.CV]Autonomous Extraction of Gleason Patterns for Grading Prostate Cancer using Multi-Gigapixel Whole Slide Images
    • [cs.CV]Boost Image Captioning with Knowledge Reasoning
    • [cs.CV]CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation
    • [cs.CV]COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
    • [cs.CV]CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
    • [cs.CV]Context-based Image Segment Labeling (CBISL)
    • [cs.CV]Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
    • [cs.CV]Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer
    • [cs.CV]Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN
    • [cs.CV]Deep Feature Augmentation for Occluded Image Classification
    • [cs.CV]Deep Representation Decomposition for Feature Disentanglement
    • [cs.CV]DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
    • [cs.CV]Diverse Image Captioning with Context-Object Split Latent Spaces
    • [cs.CV]Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs
    • [cs.CV]Efficient Pipelines for Vision-Based Context Sensing
    • [cs.CV]Efficient texture mapping via a non-iterative global texture alignment
    • [cs.CV]Enhanced Balancing GAN: Minority-class Image Generation
    • [cs.CV]Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution
    • [cs.CV]Facial Keypoint Sequence Generation from Audio
    • [cs.CV]Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
    • [cs.CV]FusiformNet: Extracting Discriminative Facial Features on Different Levels
    • [cs.CV]General Data Analytics With Applications To Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm Over T-Algebra
    • [cs.CV]HM4: Hidden Markov Model with Memory Management for Visual Place Recognition
    • [cs.CV]Highway Driving Dataset for Semantic Video Segmentation
    • [cs.CV]Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using Extended Kalman Filter
    • [cs.CV]Image Inpainting with Learnable Feature Imputation
    • [cs.CV]IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain
    • [cs.CV]LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
    • [cs.CV]LandmarkGAN: Synthesizing Faces from Landmarks
    • [cs.CV]Learning Open Set Network with Discriminative Reciprocal Points
    • [cs.CV]Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
    • [cs.CV]MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis
    • [cs.CV]Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
    • [cs.CV]Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
    • [cs.CV]Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
    • [cs.CV]Multi-View Adaptive Fusion Network for 3D Object Detection
    • [cs.CV]Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics
    • [cs.CV]PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
    • [cs.CV]PV-NAS: Practical Neural Architecture Search for Video Recognition
    • [cs.CV]Point Transformer
    • [cs.CV]Pose Randomization for Weakly Paired Image Style Translation
    • [cs.CV]Predicting Brain Degeneration with a Multimodal Siamese Neural Network
    • [cs.CV]ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition
    • [cs.CV]Pushing the Envelope of Rotation Averaging for Visual SLAM
    • [cs.CV]Real-Time Text Detection and Recognition
    • [cs.CV]Receptive Field Size Optimization with Continuous Time Pooling
    • [cs.CV]Reducing the Annotation Effort for Video Object Segmentation Datasets
    • [cs.CV]SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment
    • [cs.CV]Scene Flow from Point Clouds with or without Learning
    • [cs.CV]Self-paced and self-consistent co-training for semi-supervised image segmentation
    • [cs.CV]Self-supervised Representation Learning for Evolutionary Neural Architecture Search
    • [cs.CV]Set Augmented Triplet Loss for Video Person Re-Identification
    • [cs.CV]TartanVO: A Generalizable Learning-based VO
    • [cs.CV]Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
    • [cs.CV]Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization
    • [cs.CV]Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
    • [cs.CV]Unsupervised Metric Relocalization Using Transform Consistency Loss
    • [cs.CY]A Critical Correspondence on Humpty Dumpty’s Funding for European Journalism
    • [cs.CY]Analyzing Wikidata Transclusion on English Wikipedia
    • [cs.CY]Analyzing the Structure of Mondrian’s 1920-1940 Compositions
    • [cs.CY]EmotionalNation: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    • [cs.CY]Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic
    • [cs.CY]Fragmented digital connectivity and security at sea
    • [cs.CY]Mathematical simulation of package delivery optimization using a combination of carriers
    • [cs.CY]Optimizing Waste Management Collection Routes in Urban Haiti: A Collaboration between DataKind and SOIL
    • [cs.CY]The 2020s Political Economy of Machine Translation
    • [cs.CY]The GDPR Enforcement Fines at Glance
    • [cs.CY]What is the T-Algorithm? A case study to evaluate a new University
    • [cs.CY]You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
    • [cs.DB]Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets
    • [cs.DB]Domain-specific Knowledge Graphs: A survey
    • [cs.DC]10 Years Later: Cloud Computing is Closing the Performance Gap
    • [cs.DC]An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs
    • [cs.DC]An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm
    • [cs.DC]Long-term IaaS Selection using Performance Discovery
    • [cs.HC]An interactive sequential-decision benchmark from geosteering
    • [cs.HC]Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
    • [cs.IR]AI Marker-based Large-scale AI Literature Mining
    • [cs.IR]CURE: Collection for Urdu Information Retrieval Evaluation and Ranking
    • [cs.IR]Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments
    • [cs.IR]Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation
    • [cs.IR]Cross-Lingual Document Retrieval with Smooth Learning
    • [cs.IR]Deep Pairwise Hashing for Cold-start Recommendation
    • [cs.IR]Future-Aware Diverse Trends Framework for Recommendation
    • [cs.IR]Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
    • [cs.IR]Sampling-Decomposable Generative Adversarial Recommender
    • [cs.IR]Search Engine Similarity Analysis: A Combined Content and Rankings Approach
    • [cs.IR]Short Text Classification Approach to Identify Child Sexual Exploitation Material
    • [cs.IR]U-rank: Utility-oriented Learning to Rank with Implicit Feedback
    • [cs.IT]Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System
    • [cs.IT]Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
    • [cs.IT]Freshness on Demand: Optimizing Age of Information for the Query Process
    • [cs.IT]Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array
    • [cs.IT]In Searching of Long Skew-symmetric Binary Sequences with High Merit Factors
    • [cs.IT]Joint Location and Power Optimization for THz-enabled UAV Communications
    • [cs.IT]Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process
    • [cs.IT]Multiuser MIMO with Large Intelligent Surfaces: Communication Model and Transmit Design
    • [cs.IT]On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
    • [cs.IT]On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
    • [cs.IT]On the Distribution of SINR for MIMO Systems with Widely Linear MMSE Receivers
    • [cs.IT]Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design
    • [cs.IT]Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise
    • [cs.IT]Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems
    • [cs.IT]Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes
    • [cs.IT]Visualisation of Law and Legal Process: An Opportunity Missed
    • [cs.LG]83% ImageNet Accuracy in One Hour
    • [cs.LG]A Flexible Class of Dependence-aware Multi-Label Loss Functions
    • [cs.LG]A Learning Theoretic Perspective on Local Explainability
    • [cs.LG]A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data
    • [cs.LG]A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
    • [cs.LG]A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
    • [cs.LG]Aggregating Incomplete and Noisy Rankings
    • [cs.LG]An Embarrassingly Simple Approach to Training Ternary Weight Networks
    • [cs.LG]An End-to-End ML System for Personalized Conversational Voice Models in Wal
    775
    mart E-Commerce
    • [cs.LG]An Information-Geometric Distance on the Space of Tasks
    • [cs.LG]Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
    • [cs.LG]Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
    • [cs.LG]BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data
    • [cs.LG]Bilevel Continual Learning
    • [cs.LG]Causal Campbell-Goodhart’s law and Reinforcement Learning
    • [cs.LG]Chess2vec: Learning Vector Representations for Chess
    • [cs.LG]CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities
    • [cs.LG]Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs
    • [cs.LG]Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
    • [cs.LG]Cooperative Heterogeneous Deep Reinforcement Learning
    • [cs.LG]Coresets for Regressions with Panel Data
    • [cs.LG]DL-Reg: A Deep Learning Regularization Technique using Linear Regression
    • [cs.LG]Dataset Meta-Learning from Kernel Ridge-Regression
    • [cs.LG]Differentially Private ADMM Algorithms for Machine Learning
    • [cs.LG]Differentially Private Bayesian Inference for Generalized Linear Models
    • [cs.LG]Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
    • [cs.LG]Evaluation of Inference Attack Models for Deep Learning on Medical Data
    • [cs.LG]Experimental Design for Regret Minimization in Linear Bandits
    • [cs.LG]Fair Classification with Group-Dependent Label Noise
    • [cs.LG]Fast Reinforcement Learning with Incremental Gaussian Mixture Models
    • [cs.LG]Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs
    • [cs.LG]Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
    • [cs.LG]Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
    • [cs.LG]Information-theoretic Task Selection for Meta-Reinforcement Learning
    • [cs.LG]Instance based Generalization in Reinforcement Learning
    • [cs.LG]Integer Programming-based Error-Correcting Output Code Design for Robust Classification
    • [cs.LG]Interpreting Graph Drawing with Multi-Agent Reinforcement Learning
    • [cs.LG]Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom
    • [cs.LG]Learning from Non-Binary Constituency Trees via Tensor Decomposition
    • [cs.LG]Learning in the Wild with Incremental Skeptical Gaussian Processes
    • [cs.LG]Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
    • [cs.LG]Leveraging Extracted Model Adversaries for Improved Black Box Attacks
    • [cs.LG]Making ML models fairer through explanations: the case of LimeOut
    • [cs.LG]Measure Theoretic Approach to Nonuniform Learnability
    • [cs.LG]Meta-Learning with Adaptive Hyperparameters
    • [cs.LG]Methods for Pruning Deep Neural Networks
    • [cs.LG]Multi-Armed Bandits with Censored Consumption of Resources
    • [cs.LG]Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition
    • [cs.LG]Neural Network Design: Learning from Neural Architecture Search
    • [cs.LG]Noise-Contrastive Estimation for Multivariate Point Processes
    • [cs.LG]Optimal 1-NN Prototypes for Pathological Geometries
    • [cs.LG]Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration
    • [cs.LG]PAC Confidence Predictions for Deep Neural Network Classifiers
    • [cs.LG]RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality
    • [cs.LG]Reducing Neural Network Parameter Initialization Into an SMT Problem
    • [cs.LG]Reinforcement Learning with Efficient Active Feature Acquisition
    • [cs.LG]Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments
    • [cs.LG]Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism
    • [cs.LG]Resource-Aware Pareto-Optimal Automated Machine Learning Platform
    • [cs.LG]Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication
    • [cs.LG]SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
    • [cs.LG]Scheduling Real-time Deep Learning Services as Imprecise Computations
    • [cs.LG]Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
    • [cs.LG]Semantic similarity-based approach to enhance supervised classification learning accuracy
    • [cs.LG]Semi-supervised Federated Learning for Activity Recognition
    • [cs.LG]Stochastic Linear Bandits with Protected Subspace
    • [cs.LG]Strategic Recourse in Linear Classification
    • [cs.LG]Support Vector Machines and Radon’s Theorem
    • [cs.LG]The MAGICAL Benchmark for Robust Imitation
    • [cs.LG]Time Series Forecasting with Stacked Long Short-Term Memory Networks
    • [cs.LG]Toward a Generalization Metric for Deep Generative Models
    • [cs.LG]Transparent Interpretation with Knockouts
    • [cs.LG]Transport based Graph Kernels
    • [cs.LG]Two-Level K-FAC Preconditioning for Deep Learning
    • [cs.MA]An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
    • [cs.MA]The Persistence of False Memory: Brain in a Vat Despite Perfect Clocks
    • [cs.MS]Toward Performance-Portable PETSc for GPU-based Exascale Systems
    • [cs.NE]RANC: Reconfigurable Architecture for Neuromorphic Computing
    • [cs.NI]Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges
    • [cs.RO]A Formally Verified Highly Resilient Safety Concept with Degraded Modes for Automated Driving
    • [cs.RO]A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots
    • [cs.RO]APPLI: Adaptive Planner Parameter Learning From Interventions
    • [cs.RO]APPLR: Adaptive Planner Parameter Learning from Reinforcement
    • [cs.RO]Adversarial Attacks on Optimization based Planners
    • [cs.RO]Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving
    • [cs.RO]Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
    • [cs.RO]Beelines: Evaluating Motion Prediction Impact on Self-Driving Safety and Comfort
    • [cs.RO]Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning
    • [cs.RO]Broadcast Guidance of Agents in Deviated Linear Cyclic Pursuit
    • [cs.RO]Bruce — Design and Development of a Dynamic Hexapod Robot
    • [cs.RO]CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
    • [cs.RO]Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
    • [cs.RO]Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach
    • [cs.RO]DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling
    • [cs.RO]Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions
    • [cs.RO]Deep Reactive Planning in Dynamic Environments
    • [cs.RO]Depth Ranging Performance Evaluation and Improvement for RGB-D Cameras on Field-Based High-Throughput Phenotyping Robots
    • [cs.RO]Differential Dynamic Programming with Nonlinear Safety Constraints Under System Uncertainties
    • [cs.RO]Event-Based Signal Temporal Logic Synthesis for Single and Multi-Robot Tasks
    • [cs.RO]Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution
    • [cs.RO]Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance
    • [cs.RO]Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights
    • [cs.RO]FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks
    • [cs.RO]GTOC X: Karmarkar’s Gang’s Approach and Results
    • [cs.RO]Grasping in the Dark: Compliant Grasping using Shadow Dexterous Hand and BioTac Tactile Sensor
    • [cs.RO]Learning Robot Trajectories subject to Kinematic Joint Constraints
    • [cs.RO]Learning Sequences of Manipulation Primitives for Robotic Assembly
    • [cs.RO]Learning Stable Normalizing-Flow Control for Robotic Manipulation
    • [cs.RO]Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts
    • [cs.RO]MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches
    • [cs.RO]Multi-Agent Reinforcement Learning for Persistent Monitoring
    • [cs.RO]Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control
    • [cs.RO]Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
    • [cs.RO]NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
    • [cs.RO]Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor
    • [cs.RO]Observation Space Matters: Benchmark and Optimization Algorithm
    • [cs.RO]PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
    • [cs.RO]Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
    • [cs.RO]Pose Estimation of Specular and Symmetrical Objects
    • [cs.RO]ProbRobScene: A Probabilistic Specification Language \ for 3D Robotic Manipulation Environments}
    • [cs.RO]Random Fourier Features based SLAM
    • [cs.RO]Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy
    • [cs.RO]Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem
    • [cs.RO]Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth
    • [cs.RO]Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots
    • [cs.RO]Semantic Task Planning for Service Robots in Open World
    • [cs.RO]Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects
    • [cs.RO]Soft Hybrid Aerial Vehicle via Bistable Mechanism
    • [cs.RO]Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning
    • [cs.RO]Stability and Transparency in Series Elastic Actuation: A Two-Port Analysis
    • [cs.RO]Technical Report: A New Hopping Controller for Highly Dynamical Bipeds
    • [cs.RO]Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments
    • [cs.RO]Toward Mutual Trust Modeling in Human-Robot Collaboration
    • [cs.RO]Towards Personalized Explanation of Robotic Planning via User Feedback
    • [cs.RO]Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints
    • [cs.RO]VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
    • [cs.RO]Viewpoint Planning for Fruit Size and Position Estimation
    • [cs.RO]Waymo Public Road Safety Performance Data
    • [cs.RO]Waymo’s Safety Methodologies and Safety Readiness Determinations
    • [cs.SD]Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
    • [cs.SD]Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
    • [cs.SD]RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
    • [cs.SD]The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
    • [cs.SD]Using a Bi-directional LSTM Model with Attention Mechanism trained on MIDI Data for Generating Unique Music
    • [cs.SE]Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction
    • [cs.SI]A gridded establishment dataset as a proxy for economic activity in China
    • [cs.SI]AutoAudit: Mining Accounting and Time-Evolving Graphs
    • [cs.SI]Characterizing and Utilizing the Interplay Between Core and Truss Decompositions
    • [cs.SI]Dynamic Community Detection into Analyzing of Wildfires Events
    • [cs.SI]Extrema Analysis of Node Centrality in Weighted Networks
    • [cs.SI]Graph based Clustering Algorithm for Social Community Transmission Prediction of COVID-19
    • [cs.SI]Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis
    • [econ.EM]Causal Inference for Spatial Treatments
    • [econ.EM]Developments on the Bayesian Structural Time Series Model: Trending Growth
    • [econ.GN]Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework
    • [eess.AS]Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization
    • [eess.AS]Focus on the present: a regularization method for the ASR source-target attention layer
    • [eess.AS]Perceptually Guided End-to-End Text-to-Speech
    • [eess.AS]Speaker anonymisation using the McAdams coefficient
    • [eess.IV]A Deep Learning Study on Osteosarcoma Detection from Histological Images
    • [eess.IV]A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images
    • [eess.IV]ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis
    • [eess.IV]Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images
    • [eess.IV]Brain Tumor Classification Using Medial Residual Encoder Layers
    • [eess.IV]Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
    • [eess.IV]Deep learning in the ultrasound evaluation of neonatal respiratory status
    • [eess.IV]Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern
    • [eess.IV]Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images
    • [eess.IV]Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI
    • [eess.IV]Learning Euler’s Elastica Model for Medical Image Segmentation
    • [eess.IV]Segmentation of Infrared Breast Images Using MultiResUnet Neural Network
    • [eess.IV]Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks
    • [eess.IV]Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction
    • [eess.IV]U-Net and its variants for medical image segmentation: theory and applications
    • [eess.IV]nnU-Net for Brain Tumor Segmentation
    • [eess.SP]Channel Estimation in Reconfigurable Intelligent Surface Assisted mmWave MIMO Systems
    • [eess.SP]Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning
    • [eess.SP]Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications
    • [eess.SP]Frequency-based Automated Modulation Classification in the Presence of Adversaries
    • [eess.SP]Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission
    • [eess.SP]Wireless Power Transfer with Distributed Antennas: System Design, Prototype, and Experiments
    • [eess.SY]Approximate Solutions to a Class of Reachability Games
    • [eess.SY]Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
    • [eess.SY]Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
    • [hep-th]Machine Learning Lie Structures & Applications to Physics
    • [math-ph]Differential recurrences for the distribution of the trace of the $β$-Jacobi ensemble
    • [math.OC]Accelerated Hierarchical ADMM for Nonconvex Optimization in Multi-Agent Decision Making
    • [math.OC]Asynchronous Parallel Stochastic Quasi-Newton Methods
    • [math.OC]Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
    • [math.ST]Data Analysis for Proficiency Testing
    • [math.ST]Distances between probability distributions of different dimensions
    • [math.ST]Mixing it up: A general framework for Markovian statistics beyond reversibility and the minimax paradigm
    • [math.ST]Strongly universally consistent nonparametric regression and classification with privatised data
    • [nlin.AO]Controlled Perturbation-Induced Switching in Pulse-Coupled Oscillator Networks
    • [nlin.AO]Machine Learning assisted Chimera and Solitary states in Networks
    • [physics.ao-ph]The Improvement of the Air Quality due to Traffic Halting in Los Angeles and Potential Health Care Risk during the COVID-19 Outbreak
    • [physics.comp-ph]Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems
    • [physics.med-ph]Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
    • [physics.optics]Photonics for artificial intelligence and neuromorphic computing
    • [physics.soc-ph]Epidemic Spreading in a Social Network with Facial Masks wearing Individuals
    • [physics.soc-ph]Screening for an Infectious Disease as a Problem in Stochastic Control
    • [q-bio.GN]Survival prediction and risk estimation of Glioma patients using mRNA expressions
    • [q-bio.OT]Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification
    • [q-bio.QM]RRScell method for automated learning immune cell phenotypes with immunofluorescence cancer tissue
    • [quant-ph]Mitigating Coherent Noise by Balancing Weight-2 $Z$-Stabilizers
    • [quant-ph]Universal classical-quantum superposition coding and universal classical-quantum multiple access channel coding
    • [stat.AP]Assessing racial inequality in COVID-19 testing with Bayesian threshold tests
    • [stat.AP]Bayesian Analysis of Static Light Scattering Data for Globular Proteins
    • [stat.AP]PM2.5 and all-cause mortality
    • [stat.AP]Statistical Analysis of Behavioral Intention Towards Private Umbilical Cord Blood Banking
    • [stat.AP]Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations
    • [stat.CO]c-lasso — a Python package for constrained sparse and robust regression and classification
    • [stat.ME]A general modelling framework for open wildlife populations based on the Polya Tree prior
    • [stat.ME]Active Structure Learning of Causal DAGs via Directed Clique Tree
    • [stat.ME]Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities
    • [stat.ME]Bayesian sample size determination using commensurate priors to leverage pre-experimental data
    • [stat.ME]Comments on “correspondence analysis makes you blind”
    • [stat.ME]Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies
    • [stat.ME]Enveloped Huber Regression
    • [stat.ME]Fast Network Community Detection with Profile-Pseudo Likelihood Methods
    • [stat.ME]Gradient Boosting for Linear Mixed Models
    • [stat.ME]Informed Pooled Testing with Quantitative Assays
    • [stat.ME]Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey
    • [stat.ME]On the Use of Auxiliary Variables in Multilevel Regression and Poststratification
    • [stat.ME]Penalized estimation for single-index varying-coefficient models with applications to integrative genomic analysis
    • [stat.ME]Ridge regression with adaptive additive rectangles and other piecewise functional templates
    • [stat.ME]Sample Size Calculation for Active-Arm Trial with Counterfactual Incidence Based on Recency Assay
    • [stat.ME]Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review
    • [stat.ME]Sensor-based localization of epidemic sources on human mobility networks
    • [stat.ME]Smoothly Adaptively Centered Ridge Estimator
    • [stat.ME]Sparse Functional Principal Component Analysis in High Dimensions
    • [stat.ML]A better method to enforce monotonic constraints in regression and classification trees
    • [stat.ML]Adapting Neural Networks for Uplift Models
    • [stat.ML]Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
    • [stat.ML]DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
    • [stat.ML]Identification of Matrix Joint Block Diagonalization
    • [stat.ML]Inter-domain Deep Gaussian Processes
    • [stat.ML]Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
    • [stat.ML]Measure Inducing Classification and Regression Trees for Functional Data
    • [stat.ML]On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization
    • [stat.ML]On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
    • [stat.ML]On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data
    • [stat.ML]WRSE — a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU

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

    • [cond-mat.soft]Polymer Informatics: Current Status and Critical Next Steps
    Lihua Chen, Ghanshyam Pilania, Rohit Batra, Tran Doan Huan, Chiho Kim, Christopher Kuenneth, Rampi Ramprasad
    http://arxiv.org/abs/2011.00508v1

    • [cs.AI]A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem
    Ruo Ando, Yoshiyasu Takefuji
    http://arxiv.org/abs/2011.00775v1

    • [cs.AI]Advanced Semantics for Commonsense Knowledge Extraction
    Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/2011.00905v1

    • [cs.AI]Generating Correct Answers for Progressive Matrices Intelligence Tests
    Niv Pekar, Yaniv Benny, Lior Wolf
    http://arxiv.org/abs/2011.00496v1

    • [cs.AI]Measuring Place Function Similarity with Trajectory Embedding
    Cheng Fu, Robert Weibel
    http://arxiv.org/abs/2011.00261v1

    • [cs.AI]Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints
    Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou
    http://arxiv.org/abs/2011.00781v1

    • [cs.AR]On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator
    Mahesh Chandra
    http://arxiv.org/abs/2011.00850v1

    • [cs.AR]SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy
    Zahra Ebrahimi, Salim U
    3ad
    llah, Akash Kumar
    http://arxiv.org/abs/2011.01148v1

    • [cs.CL]A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
    Marius Mosbach, Stefania Degaetano-Ortlieb, Marie-Pauline Krielke, Badr M. Abdullah, Dietrich Klakow
    http://arxiv.org/abs/2011.00960v1

    • [cs.CL]A New Neural Search and Insights Platform for Navigating and Organizing AI Research
    Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel
    http://arxiv.org/abs/2011.00061v1

    • [cs.CL]A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification
    Harshit Jain, Nishant Raj, Suyash Mishra
    http://arxiv.org/abs/2011.00057v1

    • [cs.CL]A Unifying Theory of Transition-based and Sequence Labeling Parsing
    Carlos Gómez-Rodríguez, Michalina Strzyz, David Vilares
    http://arxiv.org/abs/2011.00584v1

    • [cs.CL]ABNIRML: Analyzing the Behavior of Neural IR Models
    Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
    http://arxiv.org/abs/2011.00696v1

    • [cs.CL]ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset
    Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang
    http://arxiv.org/abs/2011.00578v1

    • [cs.CL]Abstracting Influence Paths for Explaining (Contextualization of) BERT Models
    Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta
    http://arxiv.org/abs/2011.00740v1

    • [cs.CL]Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
    Chao-Wei Huang, Yun-Nung Chen
    http://arxiv.org/abs/2011.00780v1

    • [cs.CL]An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution
    Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui
    http://arxiv.org/abs/2011.00948v1

    • [cs.CL]Analyzing Gender Bias within Narrative Tropes
    Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O’Connor, Mohit Iyyer
    http://arxiv.org/abs/2011.00092v1

    • [cs.CL]Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition
    Arda Akdemir, Tetsuo Shibuya
    http://arxiv.org/abs/2011.00425v1

    • [cs.CL]Aspect-Based Argument Mining
    Dietrich Trautmann
    http://arxiv.org/abs/2011.00633v1

    • [cs.CL]Aspectuality Across Genre: A Distributional Semantics Approach
    Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman
    http://arxiv.org/abs/2011.00345v1

    • [cs.CL]Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive
    Suphan Kirmizialtin, David Wrisley
    http://arxiv.org/abs/2011.01139v1

    • [cs.CL]Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
    Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
    http://arxiv.org/abs/2011.00387v1

    • [cs.CL]Biased TextRank: Unsupervised Graph-Based Content Extraction
    Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea
    http://arxiv.org/abs/2011.01026v1

    • [cs.CL]Bracketing Encodings for 2-Planar Dependency Parsing
    Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/2011.00596v1

    • [cs.CL]CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
    Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He
    http://arxiv.org/abs/2011.00519v1

    • [cs.CL]COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
    Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
    http://arxiv.org/abs/2011.00777v1

    • [cs.CL]Combining Event Semantics and Degree Semantics for Natural Language Inference
    Izumi Haruta, Koji Mineshima, Daisuke Bekki
    http://arxiv.org/abs/2011.00961v1

    • [cs.CL]Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
    Daniel Hershcovich, Nathan Schneider, Dotan Dvir, Jakob Prange, Miryam de Lhoneux, Omri Abend
    http://arxiv.org/abs/2011.00834v1

    • [cs.CL]Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
    Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
    http://arxiv.org/abs/2011.01060v1

    • [cs.CL]Context Dependent Semantic Parsing: A Survey
    Zhuang Li, Lizhen Qu, Gholamreza Haffari
    http://arxiv.org/abs/2011.00797v1

    • [cs.CL]Context-Aware Cross-Attention for Non-Autoregressive Translation
    Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu
    http://arxiv.org/abs/2011.00770v1

    • [cs.CL]DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
    Dominique Fohr, Irina Illina
    http://arxiv.org/abs/2011.00975v1

    • [cs.CL]Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems
    Vitou Phy, Yang Zhao, Akiko Aizawa
    http://arxiv.org/abs/2011.00483v1

    • [cs.CL]Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization
    Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr
    http://arxiv.org/abs/2011.00538v1

    • [cs.CL]Deep Learning for Text Attribute Transfer: A Survey
    Di Jin, Zhijing Jin, Rada Mihalcea
    http://arxiv.org/abs/2011.00416v1

    • [cs.CL]Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
    Hang Le, Juan Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier
    http://arxiv.org/abs/2011.00747v1

    • [cs.CL]Dynamic Data Selection for Curriculum Learning via Ability Estimation
    John P. Lalor, Hong Yu
    http://arxiv.org/abs/2011.00080v1

    • [cs.CL]Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting
    Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana
    http://arxiv.org/abs/2011.00318v1

    • [cs.CL]Efficient Arabic emotion recognition using deep neural networks
    Ahmed Ali, Yasser Hifny
    http://arxiv.org/abs/2011.00346v1

    • [cs.CL]Emergent Communication Pretraining for Few-Shot Machine Translation
    Yaoyiran Li, Edoardo M. Ponti, Ivan Vulić, Anna Korhonen
    http://arxiv.org/abs/2011.00890v1

    • [cs.CL]Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders
    Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura
    http://arxiv.org/abs/2011.01097v1

    • [cs.CL]Evaluating Bias In Dutch Word Embeddings
    Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis
    http://arxiv.org/abs/2011.00244v1

    • [cs.CL]Event-Related Bias Removal for Real-time Disaster Events
    Evangelia Spiliopoulou, Salvador Medina Maza, Eduard Hovy, Alexander Hauptmann
    http://arxiv.org/abs/2011.00681v1

    • [cs.CL]Exploring Question-Specific Rewards for Generating Deep Questions
    Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng
    http://arxiv.org/abs/2011.01102v1

    • [cs.CL]Fake or Real? A Study of Arabic Satirical Fake News
    Hadeel Saadany, Emad Mohamed, Constantin Orasan
    http://arxiv.org/abs/2011.00452v1

    • [cs.CL]Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
    Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio
    http://arxiv.org/abs/2011.00245v1

    • [cs.CL]Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
    Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
    http://arxiv.org/abs/2011.00802v1

    • [cs.CL]How Domain Terminology Affects Meeting Summarization Performance
    Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu
    http://arxiv.org/abs/2011.00692v1

    • [cs.CL]How Far Does BERT Look At:Distance-based Clustering and Analysis of BERTś Attention
    Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
    http://arxiv.org/abs/2011.00943v1

    • [cs.CL]I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning
    Jungwoo Lim, Dongsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim
    http://arxiv.org/abs/2011.00766v1

    • [cs.CL]Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
    Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Gorka Azkune, Eneko Agirre
    http://arxiv.org/abs/2011.00615v1

    • [cs.CL]Improving Cyberbully Detection with User Interaction
    Suyu Ge, Lu Cheng, Huan Liu
    http://arxiv.org/abs/2011.00449v1

    • [cs.CL]Improving Dialogue Breakdown Detection with Semi-Supervised Learning
    Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo
    http://arxiv.org/abs/2011.00136v1

    • [cs.CL]Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
    Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin
    http://arxiv.org/abs/2011.01136v1

    • [cs.CL]IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP
    Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin
    http://arxiv.org/abs/2011.00677v1

    • [cs.CL]Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
    Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Chris Biemann
    http://arxiv.org/abs/2011.01154v1

    • [cs.CL]Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
    Shuhao Gu, Yang Feng
    http://arxiv.org/abs/2011.00678v1

    • [cs.CL]Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism
    Peng Su, K. Vijay-Shanker
    http://arxiv.org/abs/2011.00398v1

    • [cs.CL]Joint Masked CPC and CTC Training for ASR
    Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve
    http://arxiv.org/abs/2011.00093v1

    • [cs.CL]Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
    Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa
    http://arxiv.org/abs/2011.00105v1

    • [cs.CL]Liputan6: A Large-scale Indonesian Dataset for Text Summarization
    Fajri Koto, Jey Han Lau, Timothy Baldwin
    http://arxiv.org/abs/2011.00679v1

    • [cs.CL]Method of the coherence evaluation of Ukrainian text
    S. D. Pogorilyy, A. A. Kramov
    http://arxiv.org/abs/2011.00310v1

    • [cs.CL]MixKD: Towards Efficient Distillation of Large-scale Language Models
    Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
    http://arxiv.org/abs/2011.00593v1

    • [cs.CL]Neural Coreference Resolution for Arabic
    Abdulrahman Aloraini, Juntao Yu, Massimo Poesio
    http://arxiv.org/abs/2011.00286v1

    • [cs.CL]Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies
    Alexander H. Liu, Yu-An Chung, James Glass
    http://arxiv.org/abs/2011.00406v1

    • [cs.CL]Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification
    Chengcan Ying, Zhen Wu, Xinyu Dai, Shujian Huang, Jiajun Chen
    http://arxiv.org/abs/2011.00474v1

    • [cs.CL]Personalized Multimodal Feedback Generation in Education
    Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
    http://arxiv.org/abs/2011.00192v1

    • [cs.CL]QMUL-SDS at SardiStance2020: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
    Rabab Alkhalifa, Arkaitz Zubiaga
    http://arxiv.org/abs/2011.01181v1

    • [cs.CL]Reasoning Over History: Context Aware Visual Dialog
    Muhammad A. Shah, Shikib Mehri, Tejas Srinivasan
    http://arxiv.org/abs/2011.00669v1

    • [cs.CL]Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey
    Samuel Louvan, Bernardo Magnini
    http://arxiv.org/abs/2011.00564v1

    • [cs.CL]Reducing Confusion in Active Learning for Part-Of-Speech Tagging
    Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, Graham Neubig
    http://arxiv.org/abs/2011.00767v1

    • [cs.CL]Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
    Yudianto Sujana, Jiawen Li, Hung-Yu Kao
    http://arxiv.org/abs/2011.00259v1

    • [cs.CL]SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training
    Huda Khayrallah, João Sedoc
    http://arxiv.org/abs/2011.00547v1

    • [cs.CL]Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels
    Miruna Pislar, Marek Rei
    http://arxiv.org/abs/2011.00470v1

    • [cs.CL]Semantic coordinates analysis reveals language changes in the AI field
    Zining Zhu, Yang Xu, Frank Rudzicz
    http://arxiv.org/abs/2011.00543v1

    • [cs.CL]Semi-supervised Autoencoding Projective Dependency Parsing
    Xiao Zhang, Dan Goldwasser
    http://arxiv.org/abs/2011.00704v1

    • [cs.CL]Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
    Robert Frank, Jackson Petty
    http://arxiv.org/abs/2011.00682v1

    • [cs.CL]Social Chemistry 101: Learning to Reason about Social and Moral Norms
    Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi
    http://arxiv.org/abs/2011.00620v1

    • [cs.CL]Streaming Simultaneous Speech Translation with Augmented Memory Transformer
    Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Pino
    http://arxiv.org/abs/2011.00033v1

    • [cs.CL]Targeted Poisoning Attacks on Black-Box Neural Machine Translation
    Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzman, Benjamin I. P. Rubinstein, Trevor Cohn
    http://arxiv.org/abs/2011.00675v1

    • [cs.CL]The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
    Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
    http://arxiv.org/abs/2011.01196v1

    • [cs.CL]Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction
    Minh Tran, Yipeng Zhang, Mohammad Soleymani
    http://arxiv.org/abs/2011.00403v1

    • [cs.CL]Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
    Zhen Wu, Chengcan Ying, Xinyu Dai, Shujian Huang, Jiajun Chen
    http://arxiv.org/abs/2011.00476v1

    • [cs.CL]Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
    Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
    http://arxiv.org/abs/2011.00169v1

    • [cs.CL]Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
    Martin Kerscher, Steffen Eger
    http://arxiv.org/abs/2011.00592v1

    • [cs.CL]WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
    Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri, Ifeoma Nwogu
    http://arxiv.org/abs/2011.00559v1

    • [cs.CL]ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN
    David Samuel, Milan Straka
    http://arxiv.org/abs/2011.00758v1

    • [cs.CR]Adversarial Examples in Constrained Domains
    Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel
    http://arxiv.org/abs/2011.01183v1

    • [cs.CR]EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
    Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu
    http://arxiv.org/abs/2011.00101v1

    • [cs.CR]Low Latency Cross-Shard Transactions in Coded Blockchain
    Canran Wang, Netanel Raviv
    http://arxiv.org/abs/2011.00087v1

    • [cs.CR]Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
    Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li
    http://arxiv.org/abs/2011.00418v1

    • [cs.CR]Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
    Kyung Ho Park, Eunji Park, Huy Kang Kim
    http://arxiv.org/abs/2011.00540v1

    • [cs.CR]Watermarking Graph Neural Networks by Random Graphs
    Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang
    http://arxiv.org/abs/2011.00512v1

    • [cs.CV]3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
    Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny
    http://arxiv.org/abs/2011.00980v1

    • [cs.CV]A Parallel Approach for Real-Time Face Recognition from a Large Database
    Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza
    http://arxiv.org/abs/2011.00443v1

    • [cs.CV]A Survey on Contrastive Self-supervised Learning
    Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, Fillia Makedon
    http://arxiv.org/abs/2011.00362v1

    • [cs.CV]A topological approach to exploring convolutional neural networks
    Yang Zhao, Hao Zhang
    http://arxiv.org/abs/2011.00789v1

    • [cs.CV]Actor and Action Modular Network for Text-based Video Segmentation
    Jianhua Yang, Yan Huang, Kai Niu, Zhanyu Ma, Liang Wang
    http://arxiv.org/abs/2011.00786v1

    • [cs.CV]Adversarial Self-Supervised Scene Flow Estimation
    Victor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes
    http://arxiv.org/abs/2011.00551v1

    • [cs.CV]Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images
    Gustavo Z. Felipe, Jacqueline N. Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin C. Flores, Luiz E. S. Oliveira, Rodolfo M. Pereira, Yandre M. G. Costa
    http://arxiv.org/abs/2011.00160v1

    • [cs.CV]Autonomous Extraction of Gleason Patterns for Grading Prostate Cancer using Multi-Gigapixel Whole Slide Images
    Taimur Hassan, Ayman El-Baz, Naoufel Werghi
    http://arxiv.org/abs/2011.00527v1

    • [cs.CV]Boost Image Captioning with Knowledge Reasoning
    Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma
    http://arxiv.org/abs/2011.00927v1

    • [cs.CV]CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation
    Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang
    http://arxiv.org/abs/2011.00993v1

    • [cs.CV]COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
    Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox
    http://arxiv.org/abs/2011.00597v1

    • [cs.CV]CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
    Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
    http://arxiv.org/abs/2011.00794v1

    • [cs.CV]Context-based Image Segment Labeling (CBISL)
    Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer
    http://arxiv.org/abs/2011.00784v1

    • [cs.CV]Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
    Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang
    http://arxiv.org/abs/2011.01215v1

    • [cs.CV]Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer
    Koji Takeda, Kanji Tanaka
    http://arxiv.org/abs/2011.00402v1

    • [cs.CV]Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN
    Kaushal Bhogale
    http://arxiv.org/abs/2011.00809v1

    • [cs.CV]Deep Feature Augmentation for Occluded Image Classification
    Feng Cen, Xiaoyu Zhao, Wuzhuang Li, Guanghui Wang
    http://arxiv.org/abs/2011.00768v1

    • [cs.CV]Deep Representation Decomposition for Feature Disentanglement
    Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang
    http://arxiv.org/abs/2011.00788v1

    • [cs.CV]DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
    Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring
    http://arxiv.org/abs/2011.00569v1

    • [cs.CV]Diverse Image Captioning with Context-Object Split Latent Spaces
    Shweta Mahajan, Stefan Roth
    http://arxiv.org/abs/2011.00966v1

    • [cs.CV]Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs
    Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo
    http://arxiv.org/abs/2011.00844v1

    • [cs.CV]Efficient Pipelines for Vision-Based Context Sensing
    Xiaochen Liu
    http://arxiv.org/abs/2011.00427v1

    • [cs.CV]Efficient texture mapping via a non-iterative global texture alignment
    Mohammad Rouhani, Matthieu Fradet, Caroline Baillard
    http://arxiv.org/abs/2011.00870v1

    • [cs.CV]Enhanced Balancing GAN: Minority-class Image Generation
    Gaofeng Huang, Amir H. Jafari
    http://arxiv.org/abs/2011.00189v1

    • [cs.CV]Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution
    Renshu Gu, Gaoang Wang, Jenq-Neng Hwang
    http://arxiv.org/abs/2011.00184v1

    • [cs.CV]Facial Keypoint Sequence Generation from Audio
    Prateek Manocha, Prithwijit Guha
    http://arxiv.org/abs/2011.01114v1

    • [cs.CV]Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets
    In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh
    http://arxiv.org/abs/2011.00912v1

    • [cs.CV]FusiformNet: Extracting Discriminative Facial Features on Different Levels
    Kyo Takano
    http://arxiv.org/abs/2011.00577v1

    • [cs.CV]General Data Analytics With Applications To Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm Over T-Algebra
    Liang Liao, Stephen John Maybank
    http://arxiv.org/abs/2011.00307v1

    • [cs.CV]HM4: Hidden Markov Model with Memory Management for Visual Place Recognition
    Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian Reid
    http://arxiv.org/abs/2011.00450v1

    • [cs.CV]Highway Driving Dataset for Semantic Video Segmentation
    Byungju Kim, Junho Yim, Junmo Kim
    http://arxiv.org/abs/2011.00674v1

    • [cs.CV]Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using Extended Kalman Filter
    Omid Taheri, Hassan Salarieh, Aria Alasti
    http://arxiv.org/abs/2011.00574v1

    • [cs.CV]Image Inpainting with Learnable Feature Imputation
    Håkon Hukkelås, Frank Lindseth, Rudolf Mester
    http://arxiv.org/abs/2011.01077v1

    • [cs.CV]IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain
    Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li, Jianjun Lei
    http://arxiv.org/abs/2011.00395v1

    • [cs.CV]LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
    Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu
    http://arxiv.org/abs/2011.00566v1

    • [cs.CV]LandmarkGAN: Synthesizing Faces from Landmarks
    Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu
    http://arxiv.org/abs/2011.00269v1

    • [cs.CV]Learning Open Set Network with Discriminative Reciprocal Points
    Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
    http://arxiv.org/abs/2011.00178v1

    • [cs.CV]Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
    Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan
    http://arxiv.org/abs/2011.00954v1

    • [cs.CV]MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis
    Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal
    http://arxiv.org/abs/2011.00923v1

    • [cs.CV]Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
    Guoliang Liu, Qinghui Zhang, Yichao Cao, Junwei Li, Hao Wu, Guohui Tian
    http://arxiv.org/abs/2011.00553v1

    • [cs.CV]Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
    Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu
    http://arxiv.org/abs/2011.00694v1

    • [cs.CV]Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
    Robin Ruede, Verena Heusser, Lukas Frank, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen
    http://arxiv.org/abs/2011.01082v1

    • [cs.CV]Multi-View Adaptive Fusion Network for 3D Object Detection
    Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu
    http://arxiv.org/abs/2011.00652v1

    • [cs.CV]Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics
    Aniruddha Tamhane, Jie Ying Wu, Mathias Unberath
    http://arxiv.org/abs/2011.00168v1

    • [cs.CV]PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
    JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim
    http://arxiv.org/abs/2011.00988v1

    • [cs.CV]PV-NAS: Practical Neural Architecture Search for Video Recognition
    Zihao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao
    http://arxiv.org/abs/2011.00826v1

    • [cs.CV]Point Transformer
    Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
    http://arxiv.org/abs/2011.00931v1

    • [cs.CV]Pose Randomization for Weakly Paired Image Style Translation
    Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2011.00301v1

    • [cs.CV]Predicting Brain Degeneration with a Multimodal Siamese Neural Network
    Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet
    http://arxiv.org/abs/2011.00840v1

    • [cs.CV]ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition
    Weidong Shi, Guanghui Ren, Yunpeng Chen, Shuicheng Yan
    http://arxiv.org/abs/2011.00265v1

    • [cs.CV]Pushing the Envelope of Rotation Averaging for Visual SLAM
    Xinyi Li, Lin Yuan, Longin Jan Latecki, Haibin Ling
    http://arxiv.org/abs/2011.01163v1

    • [cs.CV]Real-Time Text Detection and Recognition
    Shuonan Pei, Mingzhi Zhu
    http://arxiv.org/abs/2011.00380v1

    • [cs.CV]Receptive Field Size Optimization with Continuous Time Pooling
    Dóra Babicz, Soma Kontár, Márk Pető, András Fülöp, Gergely Szabó, András Horváth
    http://arxiv.org/abs/2011.00869v1

    • [cs.CV]Reducing the Annotation Effort for Video Object Segmentation Datasets
    Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe
    http://arxiv.org/abs/2011.01142v1

    • [cs.CV]SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment
    Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker
    http://arxiv.org/abs/2011.01122v1

    • [cs.CV]Scene Flow from Point Clouds with or without Learning
    Jhony Kaesemodel Pontes, James Hays, Simon Lucey
    http://arxiv.org/abs/2011.00320v1

    • [cs.CV]Self-paced and self-consistent co-training for semi-supervised image segmentation
    Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
    http://arxiv.org/abs/2011.00325v1

    • [cs.CV]Self-supervised Representation Learning for Evolutionary Neural Architecture Search
    Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang
    http://arxiv.org/abs/2011.00186v1

    • [cs.CV]Set Augmented Triplet Loss for Video Person Re-Identification
    Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi
    http://arxiv.org/abs/2011.00774v1

    • [cs.CV]TartanVO: A Generalizable Learning-based VO
    Wenshan Wang, Yaoyu Hu, Sebastian Scherer
    http://arxiv.org/abs/2011.00359v1

    • [cs.CV]Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
    Marton Veges, Andras Lorincz
    http://arxiv.org/abs/2011.00250v1

    • [cs.CV]Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization
    Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
    http://arxiv.org/abs/2011.00399v1

    • [cs.CV]Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
    Yasin Almalioglu, Angel Santamaria-Navarro, Benjamin Morrell, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/2011.00341v1

    • [cs.CV]Unsupervised Metric Relocalization Using Transform Consistency Loss
    Mike Kasper, Fernando Nobre, Christoffer Heckman, Nima Keivan
    http://arxiv.org/abs/2011.00608v1

    • [cs.CY]A Critical Correspondence on Humpty Dumpty’s Funding for European Journalism
    Jukka Ruohonen
    http://arxiv.org/abs/2011.00751v1

    • [cs.CY]Analyzing Wikidata Transclusion on English Wikipedia
    Isaac Johnson
    http://arxiv.org/abs/2011.00997v1

    • [cs.CY]Analyzing the Structure of Mondrian’s 1920-1940 Compositions
    Loe Feijs
    http://arxiv.org/abs/2011.00843v1

    • [cs.CY]EmotionalNation: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    Tadashi Okoshi, Wataru Sasaki, Hiroshi Kawane, Kota Tsubouchi
    http://arxiv.org/abs/2011.00665v1

    • [cs.CY]Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic
    Neil Yeung, Jonathan Lai, Jiebo Luo
    http://arxiv.org/abs/2011.00336v1

    • [cs.CY]Fragmented digital connectivity and security at sea
    Rikke Bjerg Jensen
    http://arxiv.org/abs/2011.00251v1

    • [cs.CY]Mathematical simulation of package delivery optimization using a combination of carriers
    Valentyn M. Yanchuk, Andrii G. Tkachuk, Dmitry S. Antoniuk, Tetiana A. Vakaliuk, Anna A. Humeniuk
    http://arxiv.org/abs/2011.01200v1

    • [cs.CY]Optimizing Waste Management Collection Routes in Urban Haiti: A Collaboration between DataKind and SOIL
    Michael Dowd, Anna Dixon, Benjamin Kinsella
    http://arxiv.org/abs/2011.00303v1

    • [cs.CY]The 2020s Political Economy of Machine Translation
    Steven Weber
    http://arxiv.org/abs/2011.01007v1

    • [cs.CY]The GDPR Enforcement Fines at Glance
    Jukka Ruohonen, Kalle Hjerppe
    http://arxiv.org/abs/2011.00946v1

    • [cs.CY]What is the T-Algorithm? A case study to evaluate a new University
    Jose Berengueres
    http://arxiv.org/abs/2011.00464v1

    • [cs.CY]You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
    Hancheng Cao, Zhilong Chen, Mengjie Cheng, Shuling Zhao, Tao Wang, Yong Li
    http://arxiv.org/abs/2011.00191v1

    • [cs.DB]Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets
    Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim Spector, Claire J. Steves, Marc Modat, Sebastien Ourselin
    http://arxiv.org/abs/2011.00867v1

    • [cs.DB]Domain-specific Knowledge Graphs: A survey
    Bilal Abu-Salih
    http://arxiv.org/abs/2011.00235v1

    • [cs.DC]10 Years Later: Cloud Computing is Closing the Performance Gap
    Giulia Guidi, Marquita Ellis, Aydin Buluc, Katherine Yelick, David Culler
    http://arxiv.org/abs/2011.00656v1

    • [cs.DC]An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs
    Ayesha Afzal, Georg Hager, Gerhard Wellein
    http://arxiv.org/abs/2011.00243v1

    • [cs.DC]An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm
    Khaled Alanezi, Shivakant Mishra
    http://arxiv.org/abs/2011.00236v1

    • [cs.DC]Long-term IaaS Selection using Performance Discovery
    Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
    http://arxiv.org/abs/2011.00644v1

    • [cs.HC]An interactive sequential-decision benchmark from geosteering
    Sergey Alyaev, Reidar Brumer Bratvold, Sofija Ivanova, Andrew Holsaeter, Morten Bendiksen
    http://arxiv.org/abs/2011.00733v1

    • [cs.HC]Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
    Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov
    http://arxiv.org/abs/2011.00958v1

    • [cs.IR]AI Marker-based Large-scale AI Literature Mining
    Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu
    http://arxiv.org/abs/2011.00518v1

    • [cs.IR]CURE: Collection for Urdu Information Retrieval Evaluation and Ranking
    Muntaha Iqbal, Kamran Amjad, Bilal Tahir, Muhammad Amir Mehmood
    http://arxiv.org/abs/2011.00565v1

    • [cs.IR]Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments
    Kevin Roitero
    http://arxiv.org/abs/2011.00479v1

    • [cs.IR]Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation
    Yan Zhang, Ivor W. Tsang, Lixin Duan
    http://arxiv.org/abs/2011.00953v1

    • [cs.IR]Cross-Lingual Document Retrieval with Smooth Learning
    Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang
    http://arxiv.org/abs/2011.00701v1

    • [cs.IR]Deep Pairwise Hashing for Cold-start Recommendation
    Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
    http://arxiv.org/abs/2011.00944v1

    • [cs.IR]Future-Aware Diverse Trends Framework for Recommendation
    Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu
    http://arxiv.org/abs/2011.00422v1

    • [cs.IR]Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
    Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee
    http://arxiv.org/abs/2011.00377v1

    • [cs.IR]Sampling-Decomposable Generative Adversarial Recommender
    Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
    http://arxiv.org/abs/2011.00956v1

    • [cs.IR]Search Engine Similarity Analysis: A Combined Content and Rankings Approach
    Konstantina Dritsa, Thodoris Sotiropoulos, Haris Skarpetis, Panos Louridas
    http://arxiv.org/abs/2011.00650v1

    • [cs.IR]Short Text Classification Approach to Identify Child Sexual Exploitation Material
    Mhd Wesam Al-Nabki, Eduardo Fidalgol, Enrique Alegre, Rocío Alaiz-Rodríguez
    http://arxiv.org/abs/2011.01113v1

    • [cs.IR]U-rank: Utility-oriented Learning to Rank with Implicit Feedback
    Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
    http://arxiv.org/abs/2011.00550v1

    • [cs.IT]Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System
    Beixiong Zheng, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2011.00738v1

    • [cs.IT]Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
    Jayadev Acharya, Yuhan Liu, Ziteng Sun
    http://arxiv.org/abs/2011.00083v1

    • [cs.IT]Freshness on Demand: Optimizing Age of Information for the Query Process
    Josefine Holm, Anders E. Kalør, Federico Chiariotti, Beatriz Soret, Søren K. Jensen, Torben B. Pedersen, Petar Popovski
    http://arxiv.org/abs/2011.00917v1

    • [cs.IT]Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array
    Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang
    http://arxiv.org/abs/2011.00451v1

    • [cs.IT]In Searching of Long Skew-symmetric Binary Sequences with High Merit Factors
    Janez Brest, Borko Bošković
    http://arxiv.org/abs/2011.00068v1

    • [cs.IT]Joint Location and Power Optimization for THz-enabled UAV Communications
    Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong
    http://arxiv.org/abs/2011.01065v1

    • [cs.IT]Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process
    Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, Lisa Webley
    http://arxiv.org/abs/2011.00586v1

    • [cs.IT]Multiuser MIMO with Large Intelligent Surfaces: Communication Model and Transmit Design
    Robin Jess Williams, Pablo Ramírez-Espinosa, Elisabeth de Carvalho, Thomas L. Marzetta
    http://arxiv.org/abs/2011.00922v1

    • [cs.IT]On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
    Chengshuai Shi, Cong Shen
    http://arxiv.org/abs/2011.01090v1

    • [cs.IT]On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
    Leyla Sadighi, Sadaf Salehkalaibar, Stefano Rini
    http://arxiv.org/abs/2011.00889v1

    • [cs.IT]On the Distribution of SINR for MIMO Systems with Widely Linear MMSE Receivers
    Wei Deng, Yili Xia, Zhe Li, Wenjiang Pei
    http://arxiv.org/abs/2011.00490v1

    • [cs.IT]Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design
    Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin, Bruno Clerckx
    http://arxiv.org/abs/2011.00076v1

    • [cs.IT]Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise
    Jin-Yuan Wang, Xian-Tao Fu, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng
    http://arxiv.org/abs/2011.00230v1

    • [cs.IT]Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems
    Junyuan Gao, Yongpeng Wu, Yongjian Wang, Wenjun Zhang, Fan Wei
    http://arxiv.org/abs/2011.00203v1

    • [cs.IT]Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes
    Haiwen Cao, Pascal O. Vontobel
    http://arxiv.org/abs/2011.00224v1

    • [cs.IT]Visualisation of Law and Legal Process: An Opportunity Missed
    Scott McLachlan, Lisa Webley
    http://arxiv.org/abs/2011.00571v1

    • [cs.LG]83% ImageNet Accuracy in One Hour
    Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc Le, Yang You, Sameer Kumar
    http://arxiv.org/abs/2011.00071v1

    • [cs.LG]A Flexible Class of Dependence-aware Multi-Label Loss Functions
    Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencia, Johannes Fürnkranz, Michael Rapp
    http://arxiv.org/abs/2011.00792v1

    • [cs.LG]A Learning Theoretic Perspective on Local Explainability
    Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar
    http://arxiv.org/abs/2011.01205v1

    • [cs.LG]A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data
    Bingxu Li, Fanyong Cheng, Xin Zhang, Can Cui, Wenjian Cai
    http://arxiv.org/abs/2011.00187v1

    • [cs.LG]A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
    Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
    http://arxiv.org/abs/2011.00382v1

    • [cs.LG]A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
    Philip Amortila, Nan Jiang, Tengyang Xie
    http://arxiv.org/abs/2011.01075v1

    • [cs.LG]Aggregating Incomplete and Noisy Rankings
    Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos
    http://arxiv.org/abs/2011.00810v1

    • [cs.LG]An Embarrassingly Simple Approach to Training Ternary Weight Networks
    Xiang Deng, Zhongfei Zhang
    http://arxiv.org/abs/2011.00580v1

    • [cs.LG]An End-to-End ML System for Personalized Conversational Voice Models in Wal
    775
    mart E-Commerce
    Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
    http://arxiv.org/abs/2011.00866v1

    • [cs.LG]An Information-Geometric Distance on the Space of Tasks
    Yansong Gao, Pratik Chaudhari
    http://arxiv.org/abs/2011.00613v1

    • [cs.LG]Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
    Pranav Mani, ES Gopi, Koushik Kumaran, Hrishikesh Shekhar, Sharan Chandra
    http://arxiv.org/abs/2011.00836v1

    • [cs.LG]Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
    Valerie Chen, Abhinav Gupta, Kenneth Marino
    http://arxiv.org/abs/2011.00517v1

    • [cs.LG]BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data
    Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali
    http://arxiv.org/abs/2011.00753v1

    • [cs.LG]Bilevel Continual Learning
    Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
    http://arxiv.org/abs/2011.01168v1

    • [cs.LG]Causal Campbell-Goodhart’s law and Reinforcement Learning
    Hal Ashton
    http://arxiv.org/abs/2011.01010v1

    • [cs.LG]Chess2vec: Learning Vector Representations for Chess
    Berk Kapicioglu, Ramiz Iqbal, Tarik Koc, Louis Nicolas Andre, Katharina Sophia Volz
    http://arxiv.org/abs/2011.01014v1

    • [cs.LG]CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities
    Meiyi Ma, John Stankovic, Ezio Bartocci, Lu Feng
    http://arxiv.org/abs/2011.00384v1

    • [cs.LG]Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs
    Grigori Fursin
    http://arxiv.org/abs/2011.01149v1

    • [cs.LG]Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
    Shuman Peng, Weilian Song, Martin Ester
    http://arxiv.org/abs/2011.00179v1

    • [cs.LG]Cooperative Heterogeneous Deep Reinforcement Learning
    Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
    http://arxiv.org/abs/2011.00791v1

    • [cs.LG]Coresets for Regressions with Panel Data
    Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
    http://arxiv.org/abs/2011.00981v1

    • [cs.LG]DL-Reg: A Deep Learning Regularization Technique using Linear Regression
    Maryam Dialameh, Ali Hamzeh, Hossein Rahmani
    http://arxiv.org/abs/2011.00368v1

    • [cs.LG]Dataset Meta-Learning from Kernel Ridge-Regression
    Timothy Nguyen, Zhourung Chen, Jaehoon Lee
    http://arxiv.org/abs/2011.00050v1

    • [cs.LG]Differentially Private ADMM Algorithms for Machine Learning
    Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong
    http://arxiv.org/abs/2011.00164v1

    • [cs.LG]Differentially Private Bayesian Inference for Generalized Linear Models
    Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
    http://arxiv.org/abs/2011.00467v1

    • [cs.LG]Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
    Keyu Chen, Di Zhuang, J. Morris Chang
    http://arxiv.org/abs/2011.00444v1

    • [cs.LG]Evaluation of Inference Attack Models for Deep Learning on Medical Data
    Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Nguyen, Rong Yu, Miao Pan, Stephen T. Wong
    http://arxiv.org/abs/2011.00177v1

    • [cs.LG]Experimental Design for Regret Minimization in Linear Bandits
    Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson
    http://arxiv.org/abs/2011.00576v1

    • [cs.LG]Fair Classification with Group-Dependent Label Noise
    Jialu Wang, Yang Liu, Caleb Levy
    http://arxiv.org/abs/2011.00379v1

    • [cs.LG]Fast Reinforcement Learning with Incremental Gaussian Mixture Models
    Rafael Pinto
    http://arxiv.org/abs/2011.00702v1

    • [cs.LG]Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs
    Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang
    http://arxiv.org/abs/2011.00213v1

    • [cs.LG]Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
    Frederik Kunstner, Raunak Kumar, Mark Schmidt
    http://arxiv.org/abs/2011.01170v1

    • [cs.LG]Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
    Ali Lotfi Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jon Tamir
    http://arxiv.org/abs/2011.00194v1

    • [cs.LG]Information-theoretic Task Selection for Meta-Reinforcement Learning
    Ricardo Luna Gutierrez, Matteo Leonetti
    http://arxiv.org/abs/2011.01054v1

    • [cs.LG]Instance based Generalization in Reinforcement Learning
    Martin Bertran, Natalia Martinez, Mariano Phielipp, Guillermo Sapiro
    http://arxiv.org/abs/2011.01089v1

    • [cs.LG]Integer Programming-based Error-Correcting Output Code Design for Robust Classification
    Samarth Gupta, Saurabh Amin
    http://arxiv.org/abs/2011.00144v1

    • [cs.LG]Interpreting Graph Drawing with Multi-Agent Reinforcement Learning
    Ilkin Safarli, Youjia Zhou, Bei Wang
    http://arxiv.org/abs/2011.00748v1

    • [cs.LG]Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom
    Shiwei Zeng, Jie Shen
    http://arxiv.org/abs/2011.01104v1

    • [cs.LG]Learning from Non-Binary Constituency Trees via Tensor Decomposition
    Daniele Castellana, Davide Bacciu
    http://arxiv.org/abs/2011.00860v1

    • [cs.LG]Learning in the Wild with Incremental Skeptical Gaussian Processes
    Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
    http://arxiv.org/abs/2011.00928v1

    • [cs.LG]Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
    Peter A. Wijeratne, Daniel C. Alexander
    http://arxiv.org/abs/2011.01023v1

    • [cs.LG]Leveraging Extracted Model Adversaries for Improved Black Box Attacks
    Naveen Jafer Nizar, Ari Kobren
    http://arxiv.org/abs/2010.16336v2

    • [cs.LG]Making ML models fairer through explanations: the case of LimeOut
    Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli
    http://arxiv.org/abs/2011.00603v1

    • [cs.LG]Measure Theoretic Approach to Nonuniform Learnability
    Ankit Bandyopadhyay
    http://arxiv.org/abs/2011.00392v1

    • [cs.LG]Meta-Learning with Adaptive Hyperparameters
    Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee
    http://arxiv.org/abs/2011.00209v1

    • [cs.LG]Methods for Pruning Deep Neural Networks
    Sunil Vadera, Salem Ameen
    http://arxiv.org/abs/2011.00241v1

    • [cs.LG]Multi-Armed Bandits with Censored Consumption of Resources
    Viktor Bengs, Eyke Hüllermeier
    http://arxiv.org/abs/2011.00813v1

    • [cs.LG]Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition
    Jae-Jin Jeon, Eesung Kim
    http://arxiv.org/abs/2011.00771v1

    • [cs.LG]Neural Network Design: Learning from Neural Architecture Search
    Bas van Stein, Hao Wang, Thomas Bäck
    http://arxiv.org/abs/2011.00521v1

    • [cs.LG]Noise-Contrastive Estimation for Multivariate Point Processes
    Hongyuan Mei, Tom Wan, Jason Eisner
    http://arxiv.org/abs/2011.00717v1

    • [cs.LG]Optimal 1-NN Prototypes for Pathological Geometries
    Ilia Sucholutsky, Matthias Schonlau
    http://arxiv.org/abs/2011.00228v1

    • [cs.LG]Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration
    Paul Hand, Oscar Leong, Vladislav Voroninski
    http://arxiv.org/abs/2011.00288v1

    • [cs.LG]PAC Confidence Predictions for Deep Neural Network Classifiers
    Sangdon Park, Shuo Li, Osbert Bastani, Insup Lee
    http://arxiv.org/abs/2011.00716v1

    • [cs.LG]RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality
    Mohamed Mejri, Aymen Mejri
    http://arxiv.org/abs/2011.01188v1

    • [cs.LG]Reducing Neural Network Parameter Initialization Into an SMT Problem
    Mohamad H. Danesh
    http://arxiv.org/abs/2011.01191v1

    • [cs.LG]Reinforcement Learning with Efficient Active Feature Acquisition
    Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek
    http://arxiv.org/abs/2011.00825v1

    • [cs.LG]Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments
    Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang
    http://arxiv.org/abs/2011.00094v1

    • [cs.LG]Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism
    Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez
    http://arxiv.org/abs/2011.00330v1

    • [cs.LG]Resource-Aware Pareto-Optimal Automated Machine Learning Platform
    Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani, Teresa Tung
    http://arxiv.org/abs/2011.00073v1

    • [cs.LG]Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication
    Hardik Meisheri, Harshad Khadilkar
    http://arxiv.org/abs/2011.00424v1

    • [cs.LG]SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
    Ting-Yao Hu, Ashish Shrivastava, Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalini, Oncel Tuzel
    http://arxiv.org/abs/2011.01156v1

    • [cs.LG]Scheduling Real-time Deep Learning Services as Imprecise Computations
    Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek Abdelzaher
    http://arxiv.org/abs/2011.01112v1

    • [cs.LG]Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
    Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
    http://arxiv.org/abs/2011.00819v1

    • [cs.LG]Semantic similarity-based approach to enhance supervised classification learning accuracy
    Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
    http://arxiv.org/abs/2011.00109v1

    • [cs.LG]Semi-supervised Federated Learning for Activity Recognition
    Yuchen Zhao, Hanyang Liu, Honglin Li, Payam Barnaghi, Hamed Haddadi
    http://arxiv.org/abs/2011.00851v1

    • [cs.LG]Stochastic Linear Bandits with Protected Subspace
    Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai
    http://arxiv.org/abs/2011.01016v1

    • [cs.LG]Strategic Recourse in Linear Classification
    Yatong Chen, Jialu Wang, Yang Liu
    http://arxiv.org/abs/2011.00355v1

    • [cs.LG]Support Vector Machines and Radon’s Theorem
    Henry Adams, Brittany Carr, Elin Farnell
    http://arxiv.org/abs/2011.00617v1

    • [cs.LG]The MAGICAL Benchmark for Robust Imitation
    Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
    http://arxiv.org/abs/2011.00401v1

    • [cs.LG]Time Series Forecasting with Stacked Long Short-Term Memory Networks
    Frank Xiao
    http://arxiv.org/abs/2011.00697v1

    • [cs.LG]Toward a Generalization Metric for Deep Generative Models
    Hoang Thanh-Tung, Truyen Tran
    http://arxiv.org/abs/2011.00754v1

    • [cs.LG]Transparent Interpretation with Knockouts
    Xing Han, Yihao Feng, Na Zhang, Qiang Liu
    http://arxiv.org/abs/2011.00639v1

    • [cs.LG]Transport based Graph Kernels
    Kai Ma, Peng Wan, Daoqiang Zhang
    http://arxiv.org/abs/2011.00745v1

    • [cs.LG]Two-Level K-FAC Preconditioning for Deep Learning
    Nikolaos Tselepidis, Jonas Kohler, Antonio Orvieto
    http://arxiv.org/abs/2011.00573v1

    • [cs.MA]An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
    Yaodong Yang, Jun Wang
    http://arxiv.org/abs/2011.00583v1

    • [cs.MA]The Persistence of False Memory: Brain in a Vat Despite Perfect Clocks
    Thomas Schlögl, Ulrich Schmid, Roman Kuznets
    http://arxiv.org/abs/2011.01057v1

    • [cs.MS]Toward Performance-Portable PETSc for GPU-based Exascale Systems
    Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew Knepley, Scott E. Kruger, Hannah Morgan, Todd Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
    http://arxiv.org/abs/2011.00715v1

    • [cs.NE]RANC: Reconfigurable Architecture for Neuromorphic Computing
    Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Fair, John Mixter, Ali Akoglu
    http://arxiv.org/abs/2011.00624v1

    • [cs.NI]Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges
    Javad Zarrin, Phang Hao Wen, Lakshmi Babu Saheer, Bahram Zarrin
    http://arxiv.org/abs/2011.01096v1

    • [cs.RO]A Formally Verified Highly Resilient Safety Concept with Degraded Modes for Automated Driving
    Yuting Fu, Andrei Terechko, Jan Friso Groote, Arash Khabbaz Saberi
    http://arxiv.org/abs/2011.00892v1

    • [cs.RO]A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots
    Carlo Tiseo, Vladimir Ivan, Wolfgang Merkt, Ioannis Havoutis, Michael Mistry, Sethu Vijayakumar
    http://arxiv.org/abs/2011.00390v1

    • [cs.RO]APPLI: Adaptive Planner Parameter Learning From Interventions
    Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
    http://arxiv.org/abs/2011.00400v1

    • [cs.RO]APPLR: Adaptive Planner Parameter Learning from Reinforcement
    Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
    http://arxiv.org/abs/2011.00397v1

    • [cs.RO]Adversarial Attacks on Optimization based Planners
    Sai Vemprala, Ashish Kapoor
    http://arxiv.org/abs/2011.00095v1

    • [cs.RO]Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving
    Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee
    http://arxiv.org/abs/2011.00462v1

    • [cs.RO]Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
    Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab
    http://arxiv.org/abs/2011.00099v1

    • [cs.RO]Beelines: Evaluating Motion Prediction Impact on Self-Driving Safety and Comfort
    Skanda Shridhar, Yuhang Ma, Tara Stentz, Zhengdi Shen, Galen Clark Haynes, Neil Traft
    http://arxiv.org/abs/2011.00393v1

    • [cs.RO]Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning
    Anqiao Li, Zhicheng Wang, Jun Wu, Qiuguo Zhu
    http://arxiv.org/abs/2011.00446v1

    • [cs.RO]Broadcast Guidance of Agents in Deviated Linear Cyclic Pursuit
    Ilana Segall, Alfred M. Bruckstein
    http://arxiv.org/abs/2011.00609v1

    • [cs.RO]Bruce — Design and Development of a Dynamic Hexapod Robot
    Ryan Steindl, Thomas Molnar, Fletcher Talbot, Nicolas Hudson, Benjamin Tam, Simon Murrell, Navinda Kottege
    http://arxiv.org/abs/2011.00523v1

    • [cs.RO]CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
    Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu
    http://arxiv.org/abs/2011.00441v1

    • [cs.RO]Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
    Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera
    http://arxiv.org/abs/2011.00554v1

    • [cs.RO]Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach
    Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli
    http://arxiv.org/abs/2011.00413v1

    • [cs.RO]DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling
    Shu Jiang, Yu Wang, Longtao Lin, Weiman Lin, Yu Cao, Jinghao Miao, Qi Luo
    http://arxiv.org/abs/2011.00646v1

    • [cs.RO]Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions
    Yousef Emam, Gennaro Notomista, Paul Glotfelter, Magnus Egerstedt
    http://arxiv.org/abs/2011.01164v1

    • [cs.RO]Deep Reactive Planning in Dynamic Environments
    Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
    http://arxiv.org/abs/2011.00155v1

    • [cs.RO]Depth Ranging Performance Evaluation and Improvement for RGB-D Cameras on Field-Based High-Throughput Phenotyping Robots
    Zhengqiang Fan, Na Sun, Quan Qiu, Chunjiang Zhao
    http://arxiv.org/abs/2011.01022v1

    • [cs.RO]Differential Dynamic Programming with Nonlinear Safety Constraints Under System Uncertainties
    Gokhan Alcan, Ville Kyrki
    http://arxiv.org/abs/2011.01051v1

    • [cs.RO]Event-Based Signal Temporal Logic Synthesis for Single and Multi-Robot Tasks
    David Gundana, Hadas Kress-Gazit
    http://arxiv.org/abs/2011.00370v1

    • [cs.RO]Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution
    Shashank Srikanth, Mithun Babu, Houman Masnavi, Arun Kumar Singh, Karl Kruusamäe, K. Madhava Krishna
    http://arxiv.org/abs/2011.00488v1

    • [cs.RO]Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance
    Guangyao Shi, Ishat E Rabban, Pratap Tokekar
    http://arxiv.org/abs/2011.00685v1

    • [cs.RO]Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights
    A. Narasimhan, C. C. de Visser, C. de Wagter, M. Rischmueller
    http://arxiv.org/abs/2011.00481v1

    • [cs.RO]FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks
    Esmaeil Seraj, Xiyang Wu, Matthew Gombolay
    http://arxiv.org/abs/2011.00165v1

    • [cs.RO]GTOC X: Karmarkar’s Gang’s Approach and Results
    Aniket Bhushan, Vishesh Vatsal, Sri Anish Vutukuri, C Barath, Abhijit Bannerji
    http://arxiv.org/abs/2011.00226v1

    • [cs.RO]Grasping in the Dark: Compliant Grasping using Shadow Dexterous Hand and BioTac Tactile Sensor
    Kanishka Ganguly, Behzad Sadrfaridpour, Krishna Bhavithavya Kidambi, Cornelia Fermüller, Yiannis Aloimonos
    http://arxiv.org/abs/2011.00712v1

    • [cs.RO]Learning Robot Trajectories subject to Kinematic Joint Constraints
    Jonas C. Kiemel, Torsten Kröger
    http://arxiv.org/abs/2011.00563v1

    • [cs.RO]Learning Sequences of Manipulation Primitives for Robotic Assembly
    Nghia Vuong, Hung Pham, Quang-Cuong Pham
    http://arxiv.org/abs/2011.00778v1

    • [cs.RO]Learning Stable Normalizing-Flow Control for Robotic Manipulation
    Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic
    http://arxiv.org/abs/2011.00072v1

    • [cs.RO]Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts
    Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jurgen Leitner
    http://arxiv.org/abs/2011.00440v1

    • [cs.RO]MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches
    Jian Wen, Xuebo Zhang, Qingchen Bi, Zhangchao Pan, Yanghe Feng, Jing Yuan, Yongchun Fang
    http://arxiv.org/abs/2011.00491v1

    • [cs.RO]Multi-Agent Reinforcement Learning for Persistent Monitoring
    Jingxi Chen, Amrish Baskaran, Zhongshun Zhang, Pratap Tokekar
    http://arxiv.org/abs/2011.01129v1

    • [cs.RO]Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control
    Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter
    http://arxiv.org/abs/2011.00032v1

    • [cs.RO]Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
    Ekaterina Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro
    http://arxiv.org/abs/2011.01119v1

    • [cs.RO]NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
    Nan Lin, Yuxuan Li, Yujun Zhu, Ruolin Wang, Xiayu Zhang, Jianmin Ji, Keke Tang, Xiaoping Chen, Xinming Zhang
    http://arxiv.org/abs/2011.01046v1

    • [cs.RO]Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor
    Julien Dupeyroux, Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon
    http://arxiv.org/abs/2011.00534v1

    • [cs.RO]Observation Space Matters: Benchmark and Optimization Algorithm
    Joanne Taery Kim, Sehoon Ha
    http://arxiv.org/abs/2011.00756v1

    • [cs.RO]PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
    Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano Albrecht, Subramanian Ramamoorthy
    http://arxiv.org/abs/2011.00509v1

    • [cs.RO]Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
    Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
    http://arxiv.org/abs/2011.01153v1

    • [cs.RO]Pose Estimation of Specular and Symmetrical Objects
    Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik Christensen
    http://arxiv.org/abs/2011.00372v1

    • [cs.RO]ProbRobScene: A Probabilistic Specification Language \ for 3D Robotic Manipulation Environments}
    Craig Innes, Subramanian Ramamoorthy
    http://arxiv.org/abs/2011.01126v1

    • [cs.RO]Random Fourier Features based SLAM
    Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev
    http://arxiv.org/abs/2011.00594v1

    • [cs.RO]Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy
    Fei Liu, Zihan Li, Yunhai Han, Jingpei Lu, Florian Richter, Michael C. Yip
    http://arxiv.org/abs/2011.00800v1

    • [cs.RO]Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem
    Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit
    http://arxiv.org/abs/2011.01095v1

    • [cs.RO]Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth
    Yanmei Jiao, Lilu Liu, Bo Fu, Xiaqing Ding, Minhang Wang, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2011.00439v1

    • [cs.RO]Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots
    Pei Wang, Sihan Zhang, Qingteng Zhao, Jun Wu, Qiuguo Zhu
    http://arxiv.org/abs/2011.00806v1

    • [cs.RO]Semantic Task Planning for Service Robots in Open World
    Guowei Cui, Wei Shuai, Xiaoping Chen
    http://arxiv.org/abs/2011.00621v1

    • [cs.RO]Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects
    Cassie Meeker, Michaela Fraser, Sangwoo Park, Ava Chen, Lynne M. Weber, Mitchell Miya, Joel Stein, Matei Ciocarlie
    http://arxiv.org/abs/2011.00034v1

    • [cs.RO]Soft Hybrid Aerial Vehicle via Bistable Mechanism
    Xuan Li, Jessica McWilliams, Minchen Li, Cynthia Sung, Chenfanfu Jiang
    http://arxiv.org/abs/2011.00426v1

    • [cs.RO]Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning
    Andreas Orthey, Marc Toussaint
    http://arxiv.org/abs/2011.00832v1

    • [cs.RO]Stability and Transparency in Series Elastic Actuation: A Two-Port Analysis
    Ugur Mengilli, Umut Caliskan, Zeynep Ozge Orhan, Volkan Patoglu
    http://arxiv.org/abs/2011.00664v1

    • [cs.RO]Technical Report: A New Hopping Controller for Highly Dynamical Bipeds
    Shane Rozen-Levy, Daniel E. Koditschek
    http://arxiv.org/abs/2011.00605v1

    • [cs.RO]Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments
    Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek
    http://arxiv.org/abs/2011.00642v1

    • [cs.RO]Toward Mutual Trust Modeling in Human-Robot Collaboration
    Basel Alhaji, Andreas Rausch, Michael Prilla
    http://arxiv.org/abs/2011.01056v1

    • [cs.RO]Towards Personalized Explanation of Robotic Planning via User Feedback
    Kayla Boggess, Shenghui Chen, Lu Feng
    http://arxiv.org/abs/2011.00524v1

    • [cs.RO]Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints
    Yixuan Wang, Dale McConachie, Dmitry Berenson
    http://arxiv.org/abs/2011.00627v1

    • [cs.RO]VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems
    Jorge Peña Queralta, Li Qingqing, Fabrizio Schiano, Tomi Westerlund
    http://arxiv.org/abs/2011.00830v1

    • [cs.RO]Viewpoint Planning for Fruit Size and Position Estimation
    Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz
    http://arxiv.org/abs/2011.00275v1

    • [cs.RO]Waymo Public Road Safety Performance Data
    Matthew Schwall, Tom Daniel, Trent Victor, Francesca Favaro, Henning Hohnhold
    http://arxiv.org/abs/2011.00038v1

    • [cs.RO]Waymo’s Safety Methodologies and Safety Readiness Determinations
    Nick Webb, Dan Smith, Christopher Ludwick, Trent Victor, Qi Hommes, Francesca Favaro, George Ivanov, Tom Daniel
    http://arxiv.org/abs/2011.00054v1

    • [cs.SD]Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
    Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey
    http://arxiv.org/abs/2011.01143v1

    • [cs.SD]Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
    Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
    http://arxiv.org/abs/2011.01151v1

    • [cs.SD]RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
    Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain
    http://arxiv.org/abs/2011.00196v1

    • [cs.SD]The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
    Xu Xiang
    http://arxiv.org/abs/2011.00200v1

    • [cs.SD]Using a Bi-directional LSTM Model with Attention Mechanism trained on MIDI Data for Generating Unique Music
    Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza
    http://arxiv.org/abs/2011.00773v1

    • [cs.SE]Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction
    Rudolf Ferenc, István Siket, Péter Hegedűs, Róbert Rajkó
    http://arxiv.org/abs/2011.01214v1

    • [cs.SI]A gridded establishment dataset as a proxy for economic activity in China
    Lei Dong, Xiaohui Yuan, Meng Li, Carlo Ratti, Yu Liu
    http://arxiv.org/abs/2011.00299v1

    • [cs.SI]AutoAudit: Mining Accounting and Time-Evolving Graphs
    Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos
    http://arxiv.org/abs/2011.00447v1

    • [cs.SI]Characterizing and Utilizing the Interplay Between Core and Truss Decompositions
    Penghang Liu, A. Erdem Sarıyüce
    http://arxiv.org/abs/2011.00749v1

    • [cs.SI]Dynamic Community Detection into Analyzing of Wildfires Events
    Alessandra Marli, Didier A Vega-Oliveros, Moshé Cotacallapa, Leonardo N Ferreira, Elbert EN Macau, Marcos G Quiles
    http://arxiv.org/abs/2011.01140v1

    • [cs.SI]Extrema Analysis of Node Centrality in Weighted Networks
    Roger S. Passos, Douglas O. Cardoso
    http://arxiv.org/abs/2011.00429v1

    • [cs.SI]Graph based Clustering Algorithm for Social Community Transmission Prediction of COVID-19
    Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza
    http://arxiv.org/abs/2011.00414v1

    • [cs.SI]Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis
    Ivan V. Kozitsin
    http://arxiv.org/abs/2011.00864v1

    • [econ.EM]Causal Inference for Spatial Treatments
    Michael Pollmann
    http://arxiv.org/abs/2011.00373v1

    • [econ.EM]Developments on the Bayesian Structural Time Series Model: Trending Growth
    David Kohns, Arnab Bhattacharjee
    http://arxiv.org/abs/2011.00938v1

    • [econ.GN]Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework
    Philipp Bach, Victor Chernozhukov, Martin Spindler
    http://arxiv.org/abs/2011.01092v1

    • [eess.AS]Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization
    Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu
    http://arxiv.org/abs/2011.00091v1

    • [eess.AS]Focus on the present: a regularization method for the ASR source-target attention layer
    Nanxin Chen, Piotr Żelasko, Jesús Villalba, Najim Dehak
    http://arxiv.org/abs/2011.01210v1

    • [eess.AS]Perceptually Guided End-to-End Text-to-Speech
    Yeunju Choi, Youngmoon Jung, Youngjoo Suh, Hoirin Kim
    http://arxiv.org/abs/2011.01174v1

    • [eess.AS]Speaker anonymisation using the McAdams coefficient
    Jose Patino, Natalia Tomashenko, Massimiliano Todisco, Andreas Nautsch, Nicholas Evans
    http://arxiv.org/abs/2011.01130v1

    • [eess.IV]A Deep Learning Study on Osteosarcoma Detection from Histological Images
    D M Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu
    http://arxiv.org/abs/2011.01177v1

    • [eess.IV]A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images
    Kenta Iida, Hitoshi Kiya
    http://arxiv.org/abs/2011.00270v1

    • [eess.IV]ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis
    Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
    http://arxiv.org/abs/2011.01009v1

    • [eess.IV]Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images
    Parham Yazdekhasty, Ali Zindar, Zahra Nabizadeh-ShahreBabak, Roshank Roshandel, Pejman Khadivi, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/2011.00631v1

    • [eess.IV]Brain Tumor Classification Using Medial Residual Encoder Layers
    Zahra SobhaniNia, Nader Karimi, Pejman Khadivi, Roshank Roshandel, Shadrokh Samavi
    http://arxiv.org/abs/2011.00628v1

    • [eess.IV]Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
    Dan Zhao, Guizhi Xu, Zhenghua XU, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu
    http://arxiv.org/abs/2011.00940v1

    • [eess.IV]Deep learning in the ultrasound evaluation of neonatal respiratory status
    Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
    http://arxiv.org/abs/2011.00337v1

    • [eess.IV]Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern
    Ryusuke Sagawa, Yusuke Higuchi, Hiroshi Kawasaki, Ryo Furukawa, Takahiro Ito
    http://arxiv.org/abs/2011.00174v1

    • [eess.IV]Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images
    Fengying Che, Ruichuan Shi, Zhi Li, Jian Wu, Shuqin Li, Weixing Chen, Hao Zhang, Xiaoyu Cui
    http://arxiv.org/abs/2011.00454v1

    • [eess.IV]Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI
    Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman
    http://arxiv.org/abs/2011.00263v1

    • [eess.IV]Learning Euler’s Elastica Model for Medical Image Segmentation
    Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng
    http://arxiv.org/abs/2011.00526v1

    • [eess.IV]Segmentation of Infrared Breast Images Using MultiResUnet Neural Network
    Ange Lou, Shuyue Guan, Nada Kamona, Murray Loew
    http://arxiv.org/abs/2011.00376v1

    • [eess.IV]Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks
    Kapal Dev, Sunder Ali Khowaja, Aman Jaiswal, Ankur Singh Bist, Vaibhav
    aba
    Saini, Surbhi Bhatia
    http://arxiv.org/abs/2011.00618v1

    • [eess.IV]Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction
    Xikai Yang, Yong Long, Saiprasad Ravishankar
    http://arxiv.org/abs/2011.00428v1

    • [eess.IV]U-Net and its variants for medical image segmentation: theory and applications
    Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Devabhaktuni
    http://arxiv.org/abs/2011.01118v1

    • [eess.IV]nnU-Net for Brain Tumor Segmentation
    Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein
    http://arxiv.org/abs/2011.00848v1

    • [eess.SP]Channel Estimation in Reconfigurable Intelligent Surface Assisted mmWave MIMO Systems
    Battu Deepak, R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
    http://arxiv.org/abs/2011.00900v1

    • [eess.SP]Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning
    Arnab Bhattacharjee, Ashu Verma, Sukumar Mishra, Tapan K Saha
    http://arxiv.org/abs/2011.00841v1

    • [eess.SP]Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications
    Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
    http://arxiv.org/abs/2011.01141v1

    • [eess.SP]Frequency-based Automated Modulation Classification in the Presence of Adversaries
    Rajeev Sahay, Christopher G. Brinton, David J. Love
    http://arxiv.org/abs/2011.01132v1

    • [eess.SP]Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission
    Fatih Gulec, Baris Atakan
    http://arxiv.org/abs/2011.00884v1

    • [eess.SP]Wireless Power Transfer with Distributed Antennas: System Design, Prototype, and Experiments
    Shanpu Shen, Junghoon Kim, Chaoyun Song, Bruno Clerckx
    http://arxiv.org/abs/2011.00252v1

    • [eess.SY]Approximate Solutions to a Class of Reachability Games
    David Fridovich-Keil, Claire J. Tomlin
    http://arxiv.org/abs/2011.00601v1

    • [eess.SY]Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
    Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre Bayen
    http://arxiv.org/abs/2011.00120v1

    • [eess.SY]Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
    Sayak Mukherjee, Thanh Long Vu
    http://arxiv.org/abs/2011.01128v1

    • [hep-th]Machine Learning Lie Structures & Applications to Physics
    Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder
    http://arxiv.org/abs/2011.00871v1

    • [math-ph]Differential recurrences for the distribution of the trace of the $β$-Jacobi ensemble
    Peter J. Forrester, Santosh Kumar
    http://arxiv.org/abs/2011.00787v1

    • [math.OC]Accelerated Hierarchical ADMM for Nonconvex Optimization in Multi-Agent Decision Making
    Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Clarence W. de Silva, Tong Heng Lee
    http://arxiv.org/abs/2011.00463v1

    • [math.OC]Asynchronous Parallel Stochastic Quasi-Newton Methods
    Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
    http://arxiv.org/abs/2011.00667v1

    • [math.OC]Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
    Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
    http://arxiv.org/abs/2011.00364v1

    • [math.ST]Data Analysis for Proficiency Testing
    Reiko Aoki, Dorival Leão, Juan Pablo Mamani Bustamante, Filidor Vilca Labra
    http://arxiv.org/abs/2011.00640v1

    • [math.ST]Distances between probability distributions of different dimensions
    Yuhang Cai, Lek-Heng Lim
    http://arxiv.org/abs/2011.00629v1

    • [math.ST]Mixing it up: A general framework for Markovian statistics beyond reversibility and the minimax paradigm
    Niklas Dexheimer, Claudia Strauch, Lukas Trottner
    http://arxiv.org/abs/2011.00308v1

    • [math.ST]Strongly universally consistent nonparametric regression and classification with privatised data
    Thomas Berrett, László Györfi, Harro Walk
    http://arxiv.org/abs/2011.00216v1

    • [nlin.AO]Controlled Perturbation-Induced Switching in Pulse-Coupled Oscillator Networks
    Fabio Schittler Neves, Marc Timme
    http://arxiv.org/abs/2011.00888v1

    • [nlin.AO]Machine Learning assisted Chimera and Solitary states in Networks
    Niraj Kushwaha, Naveen Kumar Mendola, Saptarshi Ghosh, Ajay Deep Kachhvah, Sarika Jalan
    http://arxiv.org/abs/2011.01135v1

    • [physics.ao-ph]The Improvement of the Air Quality due to Traffic Halting in Los Angeles and Potential Health Care Risk during the COVID-19 Outbreak
    Jiani Yang, Yuan Wang, Joseph Pinto, Le Kuai, King-Fai Li, Stanley P Sander, Yuk L Yung
    http://arxiv.org/abs/2011.00700v1

    • [physics.comp-ph]Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems
    Olivier Adjoua, Louis Lagardère, Luc-Henri Jolly, Arnaud Durocher, Thibaut Very, Isabelle Dupays, Zhi Wang, Théo Jaffrelot Inizan, Frédéric Célerse, Pengyu Ren, Jay Ponder, Jean-Philip Piquemal
    http://arxiv.org/abs/2011.01207v1

    • [physics.med-ph]Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
    Dan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve Jiang
    http://arxiv.org/abs/2011.00388v1

    • [physics.optics]Photonics for artificial intelligence and neuromorphic computing
    Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Paul R. Prucnal
    http://arxiv.org/abs/2011.00111v1

    • [physics.soc-ph]Epidemic Spreading in a Social Network with Facial Masks wearing Individuals
    Duan-Shin Lee, Miao Zhu
    http://arxiv.org/abs/2011.00190v1

    • [physics.soc-ph]Screening for an Infectious Disease as a Problem in Stochastic Control
    Jakub Marecek
    http://arxiv.org/abs/2011.00635v1

    • [q-bio.GN]Survival prediction and risk estimation of Glioma patients using mRNA expressions
    Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera
    http://arxiv.org/abs/2011.00659v1

    • [q-bio.OT]Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification
    Xiangxie Zhang, Ben Beinke, Berlian Al Kindhi, Marco Wiering
    http://arxiv.org/abs/2011.00485v1

    • [q-bio.QM]RRScell method for automated learning immune cell phenotypes with immunofluorescence cancer tissue
    Alvason Zhenhua Li, Karsten Eichholz, Anton Sholukh, Lawrence Corey
    http://arxiv.org/abs/2011.01002v1

    • [quant-ph]Mitigating Coherent Noise by Balancing Weight-2 $Z$-Stabilizers
    Jingzhen Hu, Qingzhong Liang, Narayanan Rengaswamy, Robert Calderbank
    http://arxiv.org/abs/2011.00197v1

    • [quant-ph]Universal classical-quantum superposition coding and universal classical-quantum multiple access channel coding
    Masahito Hayashi, Ning Cai
    http://arxiv.org/abs/2011.00410v1

    • [stat.AP]Assessing racial inequality in COVID-19 testing with Bayesian threshold tests
    Emma Pierson
    http://arxiv.org/abs/2011.01179v1

    • [stat.AP]Bayesian Analysis of Static Light Scattering Data for Globular Proteins
    Fan Yin, Domarin Khago, Rachel W. Martin, Carter T. Butts
    http://arxiv.org/abs/2011.00321v1

    • [stat.AP]PM2.5 and all-cause mortality
    S. Stanley Young, Warren Kindzierski
    http://arxiv.org/abs/2011.00353v1

    • [stat.AP]Statistical Analysis of Behavioral Intention Towards Private Umbilical Cord Blood Banking
    Sonia Ghayem, Reza Foudazi
    http://arxiv.org/abs/2011.00327v1

    • [stat.AP]Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations
    Jeanett S. Pelck, Rodrigo Labouriau
    http://arxiv.org/abs/2011.00546v1

    • [stat.CO]c-lasso — a Python package for constrained sparse and robust regression and classification
    Léo Simpson, Patrick L. Combettes, Christian L. Müller
    http://arxiv.org/abs/2011.00898v1

    • [stat.ME]A general modelling framework for open wildlife populations based on the Polya Tree prior
    Alex Diana, Eleni Matechou, Jim Griffin, Todd Arnold, Richard Griffiths, John Pickering, Simone Tenan, Stefano Volponi
    http://arxiv.org/abs/2011.00591v1

    • [stat.ME]Active Structure Learning of Causal DAGs via Directed Clique Tree
    Chandler Squires, Sara Magliacane, Kristjan Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
    http://arxiv.org/abs/2011.00641v1

    • [stat.ME]Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities
    Peng Chen, Keyi Wu, Omar Ghattas
    http://arxiv.org/abs/2011.01058v1

    • [stat.ME]Bayesian sample size determination using commensurate priors to leverage pre-experimental data
    Haiyan Zheng, Thomas Jaki, James M. S. Wason
    http://arxiv.org/abs/2011.01106v1

    • [stat.ME]Comments on “correspondence analysis makes you blind”
    Vartan Choulakian
    http://arxiv.org/abs/2011.00544v1

    • [stat.ME]Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies
    Huijuan Zhou, Xianyang Zhang, Jun Chen
    http://arxiv.org/abs/2011.01107v1

    • [stat.ME]Enveloped Huber Regression
    Le Zhou, R. Dennis Cook, Hui Zou
    http://arxiv.org/abs/2011.00119v1

    • [stat.ME]Fast Network Community Detection with Profile-Pseudo Likelihood Methods
    Jiangzhou Wang, Jingfei Zhang, Binghui Liu, Ji Zhu, Jianhua Guo
    http://arxiv.org/abs/2011.00647v1

    • [stat.ME]Gradient Boosting for Linear Mixed Models
    Colin Griesbach, Benjamin Säfken, Elisabeth Waldmann
    http://arxiv.org/abs/2011.00947v1

    • [stat.ME]Informed Pooled Testing with Quantitative Assays
    Tao Liu, Joseph W Hogan, Wanning Su, Yizhen Xu, Michael J Daniels, Kantor Rami
    http://arxiv.org/abs/2011.00404v1

    • [stat.ME]Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey
    Jiaxin Zhang
    http://arxiv.org/abs/2011.00680v1

    • [stat.ME]On the Use of Auxiliary Variables in Multilevel Regression and Poststratification
    Yajuan Si
    http://arxiv.org/abs/2011.00360v1

    • [stat.ME]Penalized estimation for single-index varying-coefficient models with applications to integrative genomic analysis
    Hoi Min Ng, Binyan Jiang, Kin Yau Wong
    http://arxiv.org/abs/2011.00442v1

    • [stat.ME]Ridge regression with adaptive additive rectangles and other piecewise functional templates
    Edoardo Belli, Simone Vantini
    http://arxiv.org/abs/2011.01048v1

    • [stat.ME]Sample Size Calculation for Active-Arm Trial with Counterfactual Incidence Based on Recency Assay
    Fei Gao, David V. Glidden, James P. Hughes, Deborah Donnell
    http://arxiv.org/abs/2011.00725v1

    • [stat.ME]Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review
    Benyamin Ghojogh, Hadi Nekoei, Aydin Ghojogh, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2011.00901v1

    • [stat.ME]Sensor-based localization of epidemic sources on human mobility networks
    Jun Li, Juliane Manitz, Enrico Bertuzzo, Eric D. Kolaczyk
    http://arxiv.org/abs/2011.00138v1

    • [stat.ME]Smoothly Adaptively Centered Ridge Estimator
    Edoardo Belli
    http://arxiv.org/abs/2011.00289v1

    • [stat.ME]Sparse Functional Principal Component Analysis in High Dimensions
    Xiaoyu Hu, Fang Yao
    http://arxiv.org/abs/2011.00959v1

    • [stat.ML]A better method to enforce monotonic constraints in regression and classification trees
    Charles Auguste, Sean Malory, Ivan Smirnov
    http://arxiv.org/abs/2011.00986v1

    • [stat.ML]Adapting Neural Networks for Uplift Models
    Belbahri Mouloud, Gandouet Olivier, Kazma Ghaith
    http://arxiv.org/abs/2011.00041v1

    • [stat.ML]Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
    Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse
    http://arxiv.org/abs/2011.00835v1

    • [stat.ML]DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
    Shiyun Xu
    http://arxiv.org/abs/2011.00417v1

    • [stat.ML]Identification of Matrix Joint Block Diagonalization
    Yunfeng Cai, Ping Li
    http://arxiv.org/abs/2011.01111v1

    • [stat.ML]Inter-domain Deep Gaussian Processes
    Tim G. J. Rudner, Dino Sejdinovic, Yarin Gal
    http://arxiv.org/abs/2011.00415v1

    • [stat.ML]Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
    Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
    http://arxiv.org/abs/2011.01150v1

    • [stat.ML]Measure Inducing Classification and Regression Trees for Functional Data
    Edoardo Belli, Simone Vantini
    http://arxiv.org/abs/2011.00046v1

    • [stat.ML]On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization
    Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári
    http://arxiv.org/abs/2011.00344v1

    • [stat.ML]On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
    Tim G. J. Rudner, Oscar Key, Yarin Gal, Tom Rainforth
    http://arxiv.org/abs/2011.00515v1

    • [stat.ML]On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data
    Michael Kohler, Adam Krzyzak
    http://arxiv.org/abs/2011.00328v1

    • [stat.ML]WRSE — a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU
    Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
    http://arxiv.org/abs/2011.00865v1