cs.AI - 人工智能

    cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.PR - 概率 math.SP - 谱理论 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.RM - 风险管理 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

    • [cs.AI]A Practical Guide to Studying Emergent Communication through Grounded Language Games
    • [cs.AI]Accumulator Bet Selection Through Stochastic Diffusion Search
    • [cs.AI]Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
    • [cs.AI]Macro-Action-Based Deep Multi-Agent Reinforcement Learning
    • [cs.AI]Make E Smart Again
    • [cs.AI]Space Debris Ontology for ADR Capture Methods Selection
    • [cs.AI]Three Modern Roles for Logic in AI
    • [cs.AI]iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots
    • [cs.CC]Counterexamples to the Low-Degree Conjecture
    • [cs.CL]A Chinese Corpus for Fine-grained Entity Typing
    • [cs.CL]A Formal Hierarchy of RNN Architectures
    • [cs.CL]A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention
    • [cs.CL]A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT
    • [cs.CL]Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation
    • [cs.CL]Adversarial Training for Large Neural Language Models
    • [cs.CL]BanFakeNews: A Dataset for Detecting Fake News in Bangla
    • [cs.CL]Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills
    • [cs.CL]CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
    • [cs.CL]Compositionality and Generalization in Emergent Languages
    • [cs.CL]Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning
    • [cs.CL]Enhancing Pharmacovigilance with Drug Reviews and Social Media
    • [cs.CL]Exclusive Hierarchical Decoding for Deep Keyphrase Generation
    • [cs.CL]Extractive Summarization as Text Matching
    • [cs.CL]Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
    • [cs.CL]Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
    • [cs.CL]Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
    • [cs.CL]Learning Geometric Word Meta-Embeddings
    • [cs.CL]MPNet: Masked and Permuted Pre-training for Language Understanding
    • [cs.CL]On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
    • [cs.CL]PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation
    • [cs.CL]Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews
    • [cs.CL]SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
    • [cs.CL]StereoSet: Measuring stereotypical bias in pretrained language models
    • [cs.CL]Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
    • [cs.CL]Taming the Expressiveness and Programmability of Graph Analytical Queries
    • [cs.CL]The Cost of Training NLP Models: A Concise Overview
    • [cs.CL]The State and Fate of Linguistic Diversity and Inclusion in the NLP World
    • [cs.CL]Variational Inference for Learning Representations of Natural Language Edits
    • [cs.CR]Connecting Robust Shuffle Privacy and Pan-Privacy
    • [cs.CR]CryptoCam: Privacy Conscious Open Circuit Television
    • [cs.CR]RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation
    • [cs.CV]3D rectification with Visual Sphere perspective: an algebraic alternative for P4P pose estimation
    • [cs.CV]4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
    • [cs.CV]A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification
    • [cs.CV]A Deep Learning Approach to Object Affordance Segmentation
    • [cs.CV]A Large Dataset of Historical Japanese Documents with Complex Layouts
    • [cs.CV]A Revised Generative Evaluation of Visual Dialogue
    • [cs.CV]A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations
    • [cs.CV]AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
    • [cs.CV]Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks
    • [cs.CV]Adaptive Attention Span in Computer Vision
    • [cs.CV]Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network
    • [cs.CV]An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
    • [cs.CV]Are we pretraining it right? Digging deeper into visio-linguistic pretraining
    • [cs.CV]Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction
    • [cs.CV]BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
    • [cs.CV]BiFNet: Bidirectional Fusion Network for Road Segmentation
    • [cs.CV]Bringing Old Photos Back to Life
    • [cs.CV]CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
    • [cs.CV]CatSIM: A Categorical Image Similarity Metric
    • [cs.CV]Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network
    • [cs.CV]Class Distribution Alignment for Adversarial Domain Adaptation
    • [cs.CV]Colonoscope tracking method based on shape estimation network
    • [cs.CV]Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means
    • [cs.CV]Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework
    • [cs.CV]Complex-Object Visual Inspection via Multiple Lighting Configurations
    • [cs.CV]Cosmetic-Aware Makeup Cleanser
    • [cs.CV]DAPnet: A double self-attention convolutional network for segmentation of point clouds
    • [cs.CV]Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning
    • [cs.CV]Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
    • [cs.CV]Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channel
    • [cs.CV]Dual Embedding Expansion for Vehicle Re-identification
    • [cs.CV]Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
    • [cs.CV]Effect of Text Color on Word Embeddings
    • [cs.CV]End-to-End Learning for Video Frame Compression with Self-Attention
    • [cs.CV]Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
    • [cs.CV]Feathers dataset for Fine-Grained Visual Categorization
    • [cs.CV]Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
    • [cs.CV]Generative Feature Replay For Class-Incremental Learning
    • [cs.CV]Graph-Structured Referring Expression Reasoning in The Wild
    • [cs.CV]Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships
    • [cs.CV]How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
    • [cs.CV]ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
    • [cs.CV]Improving correlation method with convolutional neural networks
    • [cs.CV]JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
    • [cs.CV]Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
    • [cs.CV]LSM: Learning Subspace Minimization for Low-level Vision
    • [cs.CV]Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
    • [cs.CV]Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
    • [cs.CV]Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network
    • [cs.CV]Learning to Evaluate Perception Models Using Planner-Centric Metrics
    • [cs.CV]Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems
    • [cs.CV]MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network
    • [cs.CV]Machine Learning based Pallets Detection and Tracking in AGVs
    • [cs.CV]Moire Image Restoration using Multi Level Hyper Vision Net
    • [cs.CV]Motion Segmentation using Frequency Domain Transformer Networks
    • [cs.CV]Music Gesture for Visual Sound Separation
    • [cs.CV]OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
    • [cs.CV]Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module
    • [cs.CV]On the Synergies between Machine Learning and Stereo: a Survey
    • [cs.CV]Pose Manipulation with Identity Preservation
    • [cs.CV]ResNeSt: Split-Attention Networks
    • [cs.CV]Robust Partial Matching for Person Search in the Wild
    • [cs.CV]Semantic Correspondence via 2D-3D-2D Cycle
    • [cs.CV]Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
    • [cs.CV]Shape-Oriented Convolution Neural Network for Point Cloud Analysis
    • [cs.CV]Single-step Adversarial training with Dropout Scheduling
    • [cs.CV]Super-Resolution-based Snake Model — An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image
    • [cs.CV]Tensor completion using enhanced multiple modes low-rank prior and total variation
    • [cs.CV]The Notorious Difficulty of Comparing Human and Machine Perception
    • [cs.CV]Traffic Lane Detection using FCN
    • [cs.CV]Transformer Reasoning Network for Image-Text Matching and Retrieval
    • [cs.CV]TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation
    • [cs.CV]Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
    • [cs.CV]Underwater image enhancement with Image Colorfulness Measure
    • [cs.CV]Unsupervised Person Re-identification via Multi-label Classification
    • [cs.CV]Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
    • [cs.CV]VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
    • [cs.CV]When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
    • [cs.CY]Code Review in the Classroom
    • [cs.CY]How Value-Sensitive Design Can Empower Sustainable Consumption
    • [cs.CY]On the Data Fight Between Cities and Mobility Providers
    • [cs.CY]On the Evaluation of Military Simulations: Towards A Taxonomy of Assessment Criteria
    • [cs.CY]Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus
    • [cs.DC]A Generalization of the Allreduce Operation
    • [cs.DC]Asynchronous Byzantine Approximate Consensus in Directed Networks
    • [cs.DC]Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach
    • [cs.DC]DGL-KE: Training Knowledge Graph Embeddings at Scale
    • [cs.DC]Data Model, Collection and Evaluation Framework for Local Energy Systems
    • [cs.DC]Fast GPU 3D Diffeomorphic Image Registration
    • [cs.DC]Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
    • [cs.DC]Honesty Based Democratic Scheme to Improve Community Cooperation for IoT Based Vehicular Delay Tolerant Networks
    • [cs.DC]Network-Aware Optimization of Distributed Learning for Fog Computing
    • [cs.DC]Prism Removes Consensus Bottleneck for Smart Contracts
    • [cs.DC]Proposal of Automatic FPGA Offloading for Applications Loop Statements
    • [cs.DC]SOS: Socially Omitting Selfishness in IoT for Smart and Connected Communities
    • [cs.DC]Structuring Communities for Sharing Human Digital Memories in a Social P2P Network
    • [cs.DL]How Reliable are University Rankings?
    • [cs.DS]Collaborative Top Distribution Identifications with Limited Interaction
    • [cs.DS]Distributed Weighted Min-Cut in Nearly-Optimal Time
    • [cs.FL]On the decomposition of generalized semiautomata
    • [cs.IR]A Review-based Transformer Model for Personalized Product Search
    • [cs.IR]InfecTracer: Approximate Nearest Neighbors Retrieval of GPS Location Traces to Retrieve Susceptible Cases
    • [cs.IR]Knowledge Management Systems Requirements Specifications
    • [cs.IR]Learning-to-Rank with BERT in TF-Ranking
    • [cs.IR]Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective
    • [cs.IT]A Generalized Dimming Control Scheme for Visible Light Communications
    • [cs.IT]An Online Framework for Ephemeral Edge Computing in the Internet of Things
    • [cs.IT]Decision Problems in Information Theory
    • [cs.IT]Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes
    • [cs.IT]Deep Unfolded Multicast Beamforming
    • [cs.IT]Fast-Forward Relaying Scheme to Mitigate Jamming Attacks by Full-Duplex Radios
    • [cs.IT]Gauss-Markov Source Tracking with Side Information: Lower Bounds
    • [cs.IT]Generalization Error Bounds via $m$th Central Moments of the Information Density
    • [cs.IT]Graph Neural Network based Channel Tracking for Massive MIMO Networks
    • [cs.IT]Information Freshness in Cache Updating Systems
    • [cs.IT]Intelligent Reflecting Surface-Aided Backscatter Communications
    • [cs.IT]Mobility-Assisted Covert Communication over Wireless Ad Hoc Networks
    • [cs.IT]Performance bound of the intensity-based model for noisy phase retrieval
    • [cs.IT]Remote Source Coding
    • [cs.IT]Resource Allocation in Wireless Networks Assisted by Reconfigurable Intelligent Surfaces
    • [cs.IT]Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
    • [cs.LG]A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions
    • [cs.LG]Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
    • [cs.LG]Attention Routing: track-assignment detailed routing using attention-based reinforcement learning
    • [cs.LG]Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis
    • [cs.LG]COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
    • [cs.LG]CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices
    • [cs.LG]CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
    • [cs.LG]ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
    • [cs.LG]Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks
    • [cs.LG]DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
    • [cs.LG]ETC: Encoding Long and Structured Data in Transformers
    • [cs.LG]Efficient Synthesis of Compact Deep Neural Networks
    • [cs.LG]Energy-Based Imitation Learning
    • [cs.LG]FedNAS: Federated Deep Learning via Neural Architecture Search
    • [cs.LG]GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples
    • [cs.LG]Headless Horseman: Adversarial Attacks on Transfer Learning Models
    • [cs.LG]Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
    • [cs.LG]Intention Propagation for Multi-agent Reinforcement Learning
    • [cs.LG]Invariant Integration in Deep Convolutional Feature Space
    • [cs.LG]Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
    • [cs.LG]Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents
    • [cs.LG]Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
    • [cs.LG]MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
    • [cs.LG]Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
    • [cs.LG]Modeling Survival in model-based Reinforcement Learning
    • [cs.LG]Multi-label Stream Classification with Self-Organizing Maps
    • [cs.LG]Optimization in Machine Learning: A Distribution Space Approach
    • [cs.LG]Real World Games Look Like Spinning Tops
    • [cs.LG]Recurrent Convolutional Neural Networks help to predict location of Earthquakes
    • [cs.LG]Role-Wise Data Augmentation for Knowledge Distillation
    • [cs.LG]Roundtrip: A Deep Generative Neural Density Estimator
    • [cs.LG]Study of Diffusion Normalized Least Mean M-estimate Algorithms
    • [cs.LG]The Space of Functions Computed By Deep Layered Machines
    • [cs.LG]Thompson Sampling for Linearly Constrained Bandits
    • [cs.LG]Time Adaptive Reinforcement Learning
    • [cs.LG]Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
    • [cs.LG]Tractable Approximate Gaussian Inference for Bayesian Neural Networks
    • [cs.LG]VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
    • [cs.LG]WHALETRANS: E2E WHisper to nAturaL spEech conversion using modified TRANSformer network
    • [cs.MA]A Novel Multi-Agent System for Complex Scheduling Problems
    • [cs.NE]A Weighted Population Update Rule for PACO Applied to the Single Machine Total Weighted Tardiness Problem
    • [cs.NE]Evolving Diverse Sets of Tours for the Travelling Salesperson Problem
    • [cs.NE]Local Search is a Remarkably Strong Baseline for Neural Architecture Search
    • [cs.NE]The $(1+(λ,λ))$ Genetic Algorithm for Permutations
    • [cs.NE]Tree Echo State Autoencoders with Grammars
    • [cs.NI]Tracemax: A Novel Single Packet IP Traceback Strategy for Data-Flow Analysis
    • [cs.RO]A Subterranean Virtual Cave World for Gazebo based on the DARPA SubT Challenge
    • [cs.RO]Autonomous task planning and situation awareness in robotic surgery
    • [cs.RO]Design and Control of Roller Grasper V2 for In-Hand Manipulation
    • [cs.RO]Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems
    • [cs.RO]Model Predictive Path Integral Control Framework for Partially Observable Navigation: A Quadrotor Case Study
    • [cs.RO]Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting Robots
    • [cs.RO]Robust Frequency-Based Structure Extraction
    • [cs.RO]Self-Exploration in Complex Unknown Environments using Hybrid Map Representation
    • [cs.RO]Spatial Action Maps for Mobile Manipulation
    • [cs.RO]X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
    • [cs.RO]Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition
    • [cs.SD]CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
    • [cs.SI]A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT
    • [cs.SI]Community detection with node attributes in multilayer networks
    • [cs.SI]Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication
    • [cs.SI]How context impacts on media choice
    • [cs.SI]Infections May Not be Suppressed by Moderate Restriction of Contacts — Simulated Expansions of Virus in Constrained Scale-Free Networks
    • [cs.SI]Junk News Bubbles: Modelling the Rise and Fall of Attention in Online Arenas
    • [cs.SI]Robust and Scalable Entity Alignment in Big Data
    • [cs.SI]Sense-Giving Strategies of Media Organisations in Social Media Disaster Communication: Findings from Hurricane Harvey
    • [cs.SI]Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions
    • [cs.SI]The Potential of Social Media Analytics for Improving Social Media Communication of Emergency Agencies
    • [cs.SI]You are now an Influencer! Measuring CEO Reputation in Social Media
    • [econ.EM]Multi-frequency-band tests for white noise under heteroskedasticity
    • [econ.EM]Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
    • [econ.TH]The Morality and Rationality of Ambiguity Aversion
    • [eess.IV]A fast semi-automatic method for classification and counting the number and types of blood cells in an image
    • [eess.IV]Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks
    • [eess.IV]Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
    • [eess.IV]Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning
    • [eess.IV]Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images
    • [eess.IV]Superkernel Neural Architecture Search for Image Denoising
    • [eess.IV]UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
    • [eess.SP]A Comprehensive Survey on Traffic Prediction
    • [eess.SP]Device Authentication Codes based on RF Fingerprinting using Deep Learning
    • [eess.SP]Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
    • [eess.SP]Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
    • [eess.SP]MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification
    • [eess.SP]Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems
    • [eess.SP]Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper
    • [math.CO]Quasi-planar monomials over finite fields
    • [math.PR]Prove Costa’s Entropy Power Inequality and High Order Inequality for Differential Entropy with Semidefinite Programming
    • [math.SP]From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds
    • [math.ST]Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
    • [math.ST]Applications of Structural Statistics: Geometrical Inference in Exponential Families
    • [math.ST]Estimating Ising Models from One Sample
    • [math.ST]Is distribution-free inference possible for binary regression?
    • [math.ST]Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates
    • [math.ST]On the Theoretical Properties of the Network Jackknife
    • [math.ST]Robust Density Estimation under Besov IPM Losses
    • [math.ST]The Geometry of Uniqueness and Model Selection of Penalized Estimators including SLOPE, LASSO, and Basis Pursuit
    • [math.ST]The Variance of Causal Effect Estimators for Binary V-structures
    • [physics.ao-ph]Intra-day solar irradiation forecast using RLS filters and satellite images
    • [physics.soc-ph]On the dynamics emerging from pandemics and infodemics
    • [q-bio.PE]Data Driven Modeling of Projected Mitigation and Suppressing Strategy Interventions for SARS-COV 2 in Ghana
    • [q-bio.PE]Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19
    • [q-bio.PE]Monitoring the spread of COVID-19 by estimating reproduction numbers over time
    • [q-bio.QM]Predicting MMSE Score from Finger-Tapping Measurement
    • [q-fin.RM]Hedging with Neural Networks
    • [stat.AP]A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems
    • [stat.AP]BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
    • [stat.AP]Causal Effects of Prenatal Drug Exposure on Birth Defects with Missing by Terathanasia
    • [stat.AP]Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact
    • [stat.AP]Heritability curves: a local measure of heritability
    • [stat.AP]Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
    • [stat.AP]stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R
    • [stat.CO]Orbit: Probabilistic Forecast with Exponential Smoothing
    • [stat.CO]Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC
    • [stat.ME]A New Smoothing Algorithm for Jump Markov Linear Systems
    • [stat.ME]Bayesian Parameter Identification for Jump Markov Linear Systems
    • [stat.ME]Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference
    • [stat.ME]Efficient implementation of median bias reduction
    • [stat.ME]Enforcing stationarity through the prior in vector autoregressions
    • [stat.ME]Integer-valued autoregressive process with flexible marginal and innovation distributions
    • [stat.ME]Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning
    • [stat.ME]Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations
    • [stat.ME]Multiplicity for a Group Sequential Trial with Biomarker Subpopulations
    • [stat.ME]Noise-Induced Randomization in Regression Discontinuity Designs
    • [stat.ME]Optimal Experimental Design for Mathematical Models of Hematopoiesis
    • [stat.ME]R package SamplingStrata: new developments and extension to Spatial Sampling
    • [stat.ME]R packages for the statistical analysis of doubly truncated data: a review
    • [stat.ME]Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis
    • [stat.ME]Sequential hypothesis testing in machine learning driven crude oil jump detection
    • [stat.ME]Statistical inference in massive datasets by empirical likelihood
    • [stat.ML]Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation
    • [stat.ML]Kernels for time series with irregularly-spaced multivariate observations
    • [stat.ML]Mechanism Design with Bandit Feedback
    • [stat.ML]New Metrics Between Rational Spectra and their Connection to Optimal Transport
    • [stat.ML]Protecting Classifiers From Attacks. A Bayesian Approach
    • [stat.ML]Safe Screening Rules for $\ell_0$-Regression
    • [stat.ML]Stochastic gradient algorithms from ODE splitting perspective
    • [stat.ML]Towards Understanding Normalization in Neural ODEs

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    • [cs.AI]A Practical Guide to Studying Emergent Communication through Grounded Language Games
    Jens Nevens, Paul Van Eecke, Katrien Beuls
    http://arxiv.org/abs/2004.09218v1

    • [cs.AI]Accumulator Bet Selection Through Stochastic Diffusion Search
    Nassim Dehouche
    http://arxiv.org/abs/2004.08607v1

    • [cs.AI]Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
    Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
    http://arxiv.org/abs/2004.09044v1

    • [cs.AI]Macro-Action-Based Deep Multi-Agent Reinforcement Learning
    Yuchen Xiao, Joshua Hoffman, Christopher Amato
    http://arxiv.org/abs/2004.08646v1

    • [cs.AI]Make E Smart Again
    Zarathustra Amadeus Goertzel
    http://arxiv.org/abs/2004.08858v1

    • [cs.AI]Space Debris Ontology for ADR Capture Methods Selection
    Marko Jankovic, Mehmed Yüksel, Mohammad Mohammadzadeh Babr, Francesca Letizia, Vitali Braun
    http://arxiv.org/abs/2004.08866v1

    • [cs.AI]Three Modern Roles for Logic in AI
    Adnan Darwiche
    http://arxiv.org/abs/2004.08599v1

    • [cs.AI]iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots
    Shiqi Zhang, Peter Stone
    http://arxiv.org/abs/2004.08672v1

    • [cs.CC]Counterexamples to the Low-Degree Conjecture
    Justin Holmgren, Alexander S. Wein
    http://arxiv.org/abs/2004.08454v1

    • [cs.CL]A Chinese Corpus for Fine-grained Entity Typing
    Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li
    http://arxiv.org/abs/2004.08825v1

    • [cs.CL]A Formal Hierarchy of RNN Architectures
    William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav
    http://arxiv.org/abs/2004.08500v1

    • [cs.CL]A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention
    Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker
    http://arxiv.org/abs/2004.08673v1

    • [cs.CL]A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT
    Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-Yi Lee
    http://arxiv.org/abs/2004.09205v1

    • [cs.CL]Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation
    Archna Bhatia, Adam Dalton, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, Bonnie J. Dorr
    http://arxiv.org/abs/2004.09050v1

    • [cs.CL]Adversarial Training for Large Neural Language Models
    Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
    http://arxiv.org/abs/2004.08994v1

    • [cs.CL]BanFakeNews: A Dataset for Detecting Fake News in Bangla
    Md Zobaer Hossain, Md Ashraful Rahman, Md Saiful Islam, Sudipta Kar
    http://arxiv.org/abs/2004.08789v1

    • [cs.CL]Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills
    Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston, Y-Lan Boureau
    http://arxiv.org/abs/2004.08449v1

    • [cs.CL]CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
    Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
    http://arxiv.org/abs/2004.09167v1

    • [cs.CL]Compositionality and Generalization in Emergent Languages
    Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni
    http://arxiv.org/abs/2004.09124v1

    • [cs.CL]Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning
    Hongcai Xu, Junpeng Bao, Gaojie Zhang
    http://arxiv.org/abs/2004.08833v1

    • [cs.CL]Enhancing Pharmacovigilance with Drug Reviews and Social Media
    Brent Biseda, Katie Mo
    http://arxiv.org/abs/2004.08731v1

    • [cs.CL]Exclusive Hierarchical Decoding for Deep Keyphrase Generation
    Wang Chen, Hou Pong Chan, Piji Li, Irwin King
    http://arxiv.org/abs/2004.08511v1

    • [cs.CL]Extractive Summarization as Text Matching
    Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2004.08795v1

    • [cs.CL]Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
    Yefei Zha, Ruobing Li, Hui Lin
    http://arxiv.org/abs/2004.09036v1

    • [cs.CL]Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
    Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
    http://arxiv.org/abs/2004.09015v1

    • [cs.CL]Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
    Hongcai Xu, Junpeng Bao, Junqing Wang
    http://arxiv.org/abs/2004.08798v1

    • [cs.CL]Learning Geometric Word Meta-Embeddings
    Pratik Jawanpuria, N T V Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
    http://arxiv.org/abs/2004.09219v1

    • [cs.CL]MPNet: Masked and Permuted Pre-training for Language Understanding
    Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
    http://arxiv.org/abs/2004.09297v1

    • [cs.CL]On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
    Chen Wu, Prince Zizhuang Wang, William Yang Wang
    http://arxiv.org/abs/2004.09189v1

    • [cs.CL]PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation
    Vivek Srivastava, Mayank Singh
    http://arxiv.org/abs/2004.09447v1

    • [cs.CL]Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews
    Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar
    http://arxiv.org/abs/2004.08793v1

    • [cs.CL]SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
    Masoud Jalili Sabet, Philipp Dufter, Hinrich Schütze
    http://arxiv.org/abs/2004.08728v1

    • [cs.CL]StereoSet: Measuring stereotypical bias in pretrained language models
    Moin Nadeem, Anna Bethke, Siva Reddy
    http://arxiv.org/abs/2004.09456v1

    • [cs.CL]Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
    Kaustubh D. Dhole, Christopher D. Manning
    http://arxiv.org/abs/2004.08694v1

    • [cs.CL]Taming the Expressiveness and Programmability of Graph Analytical Queries
    Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou
    http://arxiv.org/abs/2004.09045v1

    • [cs.CL]The Cost of Training NLP Models: A Concise Overview
    Or Sharir, Barak Peleg, Yoav Shoham
    http://arxiv.org/abs/2004.08900v1

    • [cs.CL]The State and Fate of Linguistic Diversity and Inclusion in the NLP World
    Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, Monojit Choudhury
    http://arxiv.org/abs/2004.09095v1

    • [cs.CL]Variational Inference for Learning Representations of Natural Language Edits
    Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo
    http://arxiv.org/abs/2004.09143v1

    • [cs.CR]Connecting Robust Shuffle Privacy and Pan-Privacy
    Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao
    http://arxiv.org/abs/2004.09481v1

    • [cs.CR]CryptoCam: Privacy Conscious Open Circuit Television
    Gerard Wilkinson, Dan Jackson, Andrew Garbett, Reuben Kirkham, Kyle Montague
    http://arxiv.org/abs/2004.08602v1

    • [cs.CR]RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation
    Cheng Feng, Xiao Liang, Daniel Schneegass, PengWei Tian
    http://arxiv.org/abs/2004.08762v1

    • [cs.CV]3D rectification with Visual Sphere perspective: an algebraic alternative for P4P pose estimation
    Jakub Maksymilian Fober
    http://arxiv.org/abs/2004.08933v1

    • [cs.CV]4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
    Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
    http://arxiv.org/abs/2004.09216v1

    • [cs.CV]A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification
    Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han
    http://arxiv.org/abs/2004.08886v1

    • [cs.CV]A Deep Learning Approach to Object Affordance Segmentation
    Spyridon Thermos, Petros Daras, Gerasimos Potamianos
    http://arxiv.org/abs/2004.08644v1

    • [cs.CV]A Large Dataset of Historical Japanese Documents with Complex Layouts
    Zejiang Shen, Kaixuan Zhang, Melissa Dell
    http://arxiv.org/abs/2004.08686v1

    • [cs.CV]A Revised Generative Evaluation of Visual Dialogue
    Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr
    http://arxiv.org/abs/2004.09272v1

    • [cs.CV]A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations
    Ning Zhang, Susan Francis, Rayaz Malik, Xin Chen
    http://arxiv.org/abs/2004.09443v1

    • [cs.CV]AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification
    Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian
    http://arxiv.org/abs/2004.08787v1

    • [cs.CV]Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks
    Gabriel Tjio, Xulei Yang, Jia Mei Hong, Sum Thai Wong, Vanessa Ding, Andre Choo, Yi Su
    http://arxiv.org/abs/2004.08552v1

    • [cs.CV]Adaptive Attention Span in Computer Vision
    Jerrod Parker, Shakti Kumar, Joe Roussy
    http://arxiv.org/abs/2004.08708v1

    • [cs.CV]Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network
    Congcong Wen, Xiang Li, Xiaojing Yao, Ling Peng, Tianhe Chi
    http://arxiv.org/abs/2004.09057v1

    • [cs.CV]An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
    Yong Wang, Qi Liu, Hongyu Zu, Xiao Liu, Ruichao Xie, Feng Wang
    http://arxiv.org/abs/2004.08740v1

    • [cs.CV]Are we pretraining it right? Digging deeper into visio-linguistic pretraining
    Amanpreet Singh, Vedanuj Goswami, Devi Parikh
    http://arxiv.org/abs/2004.08744v1

    • [cs.CV]Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction
    Emre Aksan, Peng Cao, Manuel Kaufmann, Otmar Hilliges
    http://arxiv.org/abs/2004.08692v1

    • [cs.CV]BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
    Behzad Hasani, Pooran Singh Negi, Mohammad H. Mahoor
    http://arxiv.org/abs/2004.08495v1

    • [cs.CV]BiFNet: Bidirectional Fusion Network for Road Segmentation
    Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
    http://arxiv.org/abs/2004.08582v1

    • [cs.CV]Bringing Old Photos Back to Life
    Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
    http://arxiv.org/abs/2004.09484v1

    • [cs.CV]CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
    Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic
    http://arxiv.org/abs/2004.09215v1

    • [cs.CV]CatSIM: A Categorical Image Similarity Metric
    Geoffrey Z. Thompson, Ranjan Maitra
    http://arxiv.org/abs/2004.09073v1

    • [cs.CV]Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network
    Ji Gan, Weiqiang Wang, Ke Lu
    http://arxiv.org/abs/2004.09412v1

    • [cs.CV]Class Distribution Alignment for Adversarial Domain Adaptation
    Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang
    http://arxiv.org/abs/2004.09403v1

    • [cs.CV]Colonoscope tracking method based on shape estimation network
    Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori
    http://arxiv.org/abs/2004.09056v1

    • [cs.CV]Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means
    Narayana Reddy A, Ranjita Das
    http://arxiv.org/abs/2004.08547v1

    • [cs.CV]Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework
    Marta B. M. Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
    http://arxiv.org/abs/2004.09321v1

    • [cs.CV]Complex-Object Visual Inspection via Multiple Lighting Configurations
    Maya Aghaei, Matteo Bustreo, Pietro Morerio, Nicolo Carissimi, Alessio Del Bue, Vittorio Murino
    http://arxiv.org/abs/2004.09374v1

    • [cs.CV]Cosmetic-Aware Makeup Cleanser
    Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan
    http://arxiv.org/abs/2004.09147v1

    • [cs.CV]DAPnet: A double self-attention convolutional network for segmentation of point clouds
    Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li
    http://arxiv.org/abs/2004.08596v1

    • [cs.CV]Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning
    Sheng-Yeh Chen, Yung-Yu Chuang
    http://arxiv.org/abs/2004.09089v1

    • [cs.CV]Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
    Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi
    http://arxiv.org/abs/2004.09363v1

    • [cs.CV]Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channel
    Sebastián Salazar-Colores, Hugo Alberto-Moreno, César Javier Ortiz-Echeverri, Gerardo Flores
    http://arxiv.org/abs/2004.08947v1

    • [cs.CV]Dual Embedding Expansion for Vehicle Re-identification
    Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With
    http://arxiv.org/abs/2004.08665v1

    • [cs.CV]Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
    Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng
    http://arxiv.org/abs/2004.08595v1

    • [cs.CV]Effect of Text Color on Word Embeddings
    Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida
    http://arxiv.org/abs/2004.08526v1

    • [cs.CV]End-to-End Learning for Video Frame Compression with Self-Attention
    Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska Hannuksela, Esa Rahtu
    http://arxiv.org/abs/2004.09226v1

    • [cs.CV]Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
    Seyma Yucer, Samet Akçay, Noura Al-Moubayed, Toby P. Breckon
    http://arxiv.org/abs/2004.08945v1

    • [cs.CV]Feathers dataset for Fine-Grained Visual Categorization
    Alina Belko, Konstantin Dobratulin, Andrey Kuznetsov
    http://arxiv.org/abs/2004.08606v1

    • [cs.CV]Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
    Peri Akiva, Kristin Dana, Peter Oudemans, Michael Mars
    http://arxiv.org/abs/2004.08501v1

    • [cs.CV]Generative Feature Replay For Class-Incremental Learning
    Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
    http://arxiv.org/abs/2004.09199v1

    • [cs.CV]Graph-Structured Referring Expression Reasoning in The Wild
    Sibei Yang, Guanbin Li, Yizhou Yu
    http://arxiv.org/abs/2004.08814v1

    • [cs.CV]Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships
    Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan Turaga, Aswin Sankaranarayanan
    http://arxiv.org/abs/2004.08614v1

    • [cs.CV]How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
    D. B. de Jong, F. Paredes-Vallés, G. C. H. E. de Croon
    http://arxiv.org/abs/2004.09317v1

    • [cs.CV]ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
    Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep
    http://arxiv.org/abs/2004.08513v1

    • [cs.CV]Improving correlation method with convolutional neural networks
    Dmitriy Goncharov, Rostislav Starikov
    http://arxiv.org/abs/2004.09430v1

    • [cs.CV]JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
    Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao
    http://arxiv.org/abs/2004.08515v1

    • [cs.CV]Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
    Peiliang Li, Jieqi Shi, Shaojie Shen
    http://arxiv.org/abs/2004.09305v1

    • [cs.CV]LSM: Learning Subspace Minimization for Low-level Vision
    Chengzhou Tang, Lu Yuan, Ping Tan
    http://arxiv.org/abs/2004.09197v1

    • [cs.CV]Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
    Juyong Zhang, Hongrui Cai, Yudong Guo, Zhuang Peng
    http://arxiv.org/abs/2004.09190v1

    • [cs.CV]Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
    Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel
    http://arxiv.org/abs/2004.09034v1

    • [cs.CV]Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network
    Ruoteng Li, Xiaoyi Zhang, Shaodi You, Yu Li
    http://arxiv.org/abs/2004.08554v1

    • [cs.CV]Learning to Evaluate Perception Models Using Planner-Centric Metrics
    Jonah Philion, Amlan Kar, Sanja Fidler
    http://arxiv.org/abs/2004.08745v1

    • [cs.CV]Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems
    Hao Li, Aozhou Wu, Wen Fang, Qingqing Zhang, Mingqing Liu, Qingwen Liu, Wei Chen
    http://arxiv.org/abs/2004.08761v1

    • [cs.CV]MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network
    Ling Lo, Hong-Xia Xie, Hong-Han Shuai, Wen-Huang Cheng
    http://arxiv.org/abs/2004.08915v1

    • [cs.CV]Machine Learning based Pallets Detection and Tracking in AGVs
    Shengchang Zhang, Jie Xiang, Weijian Han
    http://arxiv.org/abs/2004.08965v1

    • [cs.CV]Moire Image Restoration using Multi Level Hyper Vision Net
    D. Sabari Nathan, M. Parisa Beham, S. M. Md Mansoor Roomi
    http://arxiv.org/abs/2004.08541v1

    • [cs.CV]Motion Segmentation using Frequency Domain Transformer Networks
    Hafez Farazi, Sven Behnke
    http://arxiv.org/abs/2004.08638v1

    • [cs.CV]Music Gesture for Visual Sound Separation
    Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba
    http://arxiv.org/abs/2004.09476v1

    • [cs.CV]OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
    Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo
    http://arxiv.org/abs/2004.09033v1

    • [cs.CV]Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module
    Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu
    http://arxiv.org/abs/2004.08656v1

    • [cs.CV]On the Synergies between Machine Learning and Stereo: a Survey
    Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
    http://arxiv.org/abs/2004.08566v1

    • [cs.CV]Pose Manipulation with Identity Preservation
    Andrei-Timotei Ardelean, Lucian Mircea Sasu
    http://arxiv.org/abs/2004.09169v1

    • [cs.CV]ResNeSt: Split-Attention Networks
    Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander Smola
    http://arxiv.org/abs/2004.08955v1

    • [cs.CV]Robust Partial Matching for Person Search in the Wild
    Yingji Zhong, Xiaoyu Wang, Shiliang Zhang
    http://arxiv.org/abs/2004.09329v1

    • [cs.CV]Semantic Correspondence via 2D-3D-2D Cycle
    Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Lizhuang Ma, Cewu Lu, Weiming Wang
    http://arxiv.org/abs/2004.09061v1

    • [cs.CV]Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
    Zhengyang Feng, Qianyu Zhou, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma
    http://arxiv.org/abs/2004.08514v1

    • [cs.CV]Shape-Oriented Convolution Neural Network for Point Cloud Analysis
    Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
    http://arxiv.org/abs/2004.09411v1

    • [cs.CV]Single-step Adversarial training with Dropout Scheduling
    Vivek B. S., R. Venkatesh Babu
    http://arxiv.org/abs/2004.08628v1

    • [cs.CV]Super-Resolution-based Snake Model — An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image
    Thanh Huy Nguyen, Sylvie Daniel, Didier Gueriot, Christophe Sintes, Jean-Marc Le Caillec
    http://arxiv.org/abs/2004.08522v1

    • [cs.CV]Tensor completion using enhanced multiple modes low-rank prior and total variation
    Haijin Zeng, Xiaozhen Xie, Jifeng Ning
    http://arxiv.org/abs/2004.08747v1

    • [cs.CV]The Notorious Difficulty of Comparing Human and Machine Perception
    Christina M. Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas S. A. Wallis, Matthias Bethge
    http://arxiv.org/abs/2004.09406v1

    • [cs.CV]Traffic Lane Detection using FCN
    Shengchang Zhang, Ahmed EI Koubia, Khaled Abdul Karim Mohammed
    http://arxiv.org/abs/2004.08977v1

    • [cs.CV]Transformer Reasoning Network for Image-Text Matching and Retrieval
    Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato
    http://arxiv.org/abs/2004.09144v1

    • [cs.CV]TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation
    Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci
    http://arxiv.org/abs/2004.08769v1

    • [cs.CV]Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
    Qianyu Zhou, Zhengyang Feng, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma
    http://arxiv.org/abs/2004.08878v1

    • [cs.CV]Underwater image enhancement with Image Colorfulness Measure
    Hui Li, Xi Yang, ZhenMing Li, TianLun Zhang
    http://arxiv.org/abs/2004.08609v1

    • [cs.CV]Unsupervised Person Re-identification via Multi-label Classification
    Dongkai Wang, Shiliang Zhang
    http://arxiv.org/abs/2004.09228v1

    • [cs.CV]Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
    Luca Ciampi, Carlos Santiago, Joao Paulo Costeira, Claudio Gennaro, Giuseppe Amato
    http://arxiv.org/abs/2004.09251v1

    • [cs.CV]VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
    Xiangyu Zhu, Zhenbo Luo, Pei Fu, Xiang Ji
    http://arxiv.org/abs/2004.09164v1

    • [cs.CV]When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
    Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau
    http://arxiv.org/abs/2004.08796v1

    • [cs.CY]Code Review in the Classroom
    Victor Rivera, Hamna Aslam, Alexandr Naumchev, Daniel de Carvalho, Mansur Khazeev, Manuel Mazzara
    http://arxiv.org/abs/2004.08774v1

    • [cs.CY]How Value-Sensitive Design Can Empower Sustainable Consumption
    Thomas Asikis, Johannes Klinglmayr, Dirk Helbing, Evangelos Pournaras
    http://arxiv.org/abs/2004.09180v1

    • [cs.CY]On the Data Fight Between Cities and Mobility Providers
    Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova
    http://arxiv.org/abs/2004.09072v1

    • [cs.CY]On the Evaluation of Military Simulations: Towards A Taxonomy of Assessment Criteria
    Mario Golling, Robert Koch, Peter Hillmann, Volker Eiseler, Lars Stiemert, Andres Rekker
    http://arxiv.org/abs/2004.09340v1

    • [cs.CY]Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus
    Autumn Toney, Akshat Pandey, Wei Guo, David Broniatowski, Aylin Caliskan
    http://arxiv.org/abs/2004.08726v1

    • [cs.DC]A Generalization of the Allreduce Operation
    Dmitry Kolmakov, Zhang Xuecang
    http://arxiv.org/abs/2004.09362v1

    • [cs.DC]Asynchronous Byzantine Approximate Consensus in Directed Networks
    Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya
    http://arxiv.org/abs/2004.09054v1

    • [cs.DC]Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach
    Dongfang Zhao
    http://arxiv.org/abs/2004.08473v1

    • [cs.DC]DGL-KE: Training Knowledge Graph Embeddings at Scale
    Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
    http://arxiv.org/abs/2004.08532v1

    • [cs.DC]Data Model, Collection and Evaluation Framework for Local Energy Systems
    Phani Chitti
    http://arxiv.org/abs/2004.08680v1

    • [cs.DC]Fast GPU 3D Diffeomorphic Image Registration
    Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
    http://arxiv.org/abs/2004.08893v1

    • [cs.DC]Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
    Yujing Ma, Florin Rusu
    http://arxiv.org/abs/2004.08771v1

    • [cs.DC]Honesty Based Democratic Scheme to Improve Community Cooperation for IoT Based Vehicular Delay Tolerant Networks
    Ghani ur Rehman, Anwar Ghani, Muhammad Zubair, Shahbaz Ahmad Khan Ghayyure, Shad Muhammad
    http://arxiv.org/abs/2004.08698v1

    • [cs.DC]Network-Aware Optimization of Distributed Learning for Fog Computing
    Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wang
    http://arxiv.org/abs/2004.08488v1

    • [cs.DC]Prism Removes Consensus Bottleneck for Smart Contracts
    Gerui Wang, Shuo Wang, Vivek Bagaria, David Tse, Pramod Viswanath
    http://arxiv.org/abs/2004.08776v1

    • [cs.DC]Proposal of Automatic FPGA Offloading for Applications Loop Statements
    Yoji Yamato
    http://arxiv.org/abs/2004.08548v1

    • [cs.DC]SOS: Socially Omitting Selfishness in IoT for Smart and Connected Communities
    Ghani ur Rehman, Anwar Ghani, Muhammad Zubair, Muhammad Imran Saeed, Dhananjay Singh
    http://arxiv.org/abs/2004.08948v1

    • [cs.DC]Structuring Communities for Sharing Human Digital Memories in a Social P2P Network
    Haseeb Ur Rahman, Madjid Merabti, David Llewellyn-Jones, Sud Sudirman, Anwar Ghani
    http://arxiv.org/abs/2004.08441v1

    • [cs.DL]How Reliable are University Rankings?
    Ali Dasdan, Eric Van Lare, Bosko Zivaljevic
    http://arxiv.org/abs/2004.09006v1

    • [cs.DS]Collaborative Top Distribution Identifications with Limited Interaction
    Nikolai Karpov, Qin Zhang, Yuan Zhou
    http://arxiv.org/abs/2004.09454v1

    • [cs.DS]Distributed Weighted Min-Cut in Nearly-Optimal Time
    Michal Dory, Yuval Efron, Sagnik Mukhopadhyay, Danupon Nanongkai
    http://arxiv.org/abs/2004.09129v1

    • [cs.FL]On the decomposition of generalized semiautomata
    Merve Nur Cakir, Karl-Heinz Zimmermann
    http://arxiv.org/abs/2004.08805v1

    • [cs.IR]A Review-based Transformer Model for Personalized Product Search
    Keping Bi, Qingyao Ai, W. Bruce Croft
    http://arxiv.org/abs/2004.09424v1

    • [cs.IR]InfecTracer: Approximate Nearest Neighbors Retrieval of GPS Location Traces to Retrieve Susceptible Cases
    Chandan Biswas, Debasis Ganguly
    http://arxiv.org/abs/2004.08851v1

    • [cs.IR]Knowledge Management Systems Requirements Specifications
    Omar S. Al-Kadi
    http://arxiv.org/abs/2004.08961v1

    • [cs.IR]Learning-to-Rank with BERT in TF-Ranking
    Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork
    http://arxiv.org/abs/2004.08476v1

    • [cs.IR]Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective
    Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga
    http://arxiv.org/abs/2004.08519v1

    • [cs.IT]A Generalized Dimming Control Scheme for Visible Light Communications
    Yang Yang, Congcong Wang, Chunyan Feng, Caili Guo, Julian Cheng, Zhimin Zeng
    http://arxiv.org/abs/2004.09068v1

    • [cs.IT]An Online Framework for Ephemeral Edge Computing in the Internet of Things
    Gilsoo Lee, Walid Saad, Mehdi Bennis
    http://arxiv.org/abs/2004.08640v1

    • [cs.IT]Decision Problems in Information Theory
    Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu
    http://arxiv.org/abs/2004.08783v1

    • [cs.IT]Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes
    Min Zhu, David G. M. Mitchell, Michael Lentmaier, Daniel J. Costello Jr
    http://arxiv.org/abs/2004.08530v1

    • [cs.IT]Deep Unfolded Multicast Beamforming
    Satoshi Takabe, Tadashi Wadayama
    http://arxiv.org/abs/2004.09345v1

    • [cs.IT]Fast-Forward Relaying Scheme to Mitigate Jamming Attacks by Full-Duplex Radios
    Vivek Chaudhary, J. Harshan
    http://arxiv.org/abs/2004.08898v1

    • [cs.IT]Gauss-Markov Source Tracking with Side Information: Lower Bounds
    Omri Lev, Anatoly Khina
    http://arxiv.org/abs/2004.08409v1

    • [cs.IT]Generalization Error Bounds via $m$th Central Moments of the Information Density
    Fredrik Hellström, Giuseppe Durisi
    http://arxiv.org/abs/2004.09148v1

    • [cs.IT]Graph Neural Network based Channel Tracking for Massive MIMO Networks
    Yindi Yang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
    http://arxiv.org/abs/2004.08738v1

    • [cs.IT]Information Freshness in Cache Updating Systems
    Melih Bastopcu, Sennur Ulukus
    http://arxiv.org/abs/2004.09475v1

    • [cs.IT]Intelligent Reflecting Surface-Aided Backscatter Communications
    Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato
    http://arxiv.org/abs/2004.09059v1

    • [cs.IT]Mobility-Assisted Covert Communication over Wireless Ad Hoc Networks
    Hyeon-Seong Im, Si-Hyeon Lee
    http://arxiv.org/abs/2004.08852v1

    • [cs.IT]Performance bound of the intensity-based model for noisy phase retrieval
    Meng Huang, Zhiqiang Xu
    http://arxiv.org/abs/2004.08764v1

    • [cs.IT]Remote Source Coding
    Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
    http://arxiv.org/abs/2004.08601v1

    • [cs.IT]Resource Allocation in Wireless Networks Assisted by Reconfigurable Intelligent Surfaces
    Stefano Buzzi, Carmen D’Andrea, Alessio Zappone, Maria Fresia, Yong-Ping Zhang, Shulan Feng
    http://arxiv.org/abs/2004.08944v1

    • [cs.IT]Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
    Marco Di Renzo, Alessio Zappone, Merouane Debbah, Mohamed-Slim Alouini, Chau Yuen, Julien de Rosny, Sergei Tretyakov
    http://arxiv.org/abs/2004.09352v1

    • [cs.LG]A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions
    Yulong Lu, Jianfeng Lu
    http://arxiv.org/abs/2004.08867v1

    • [cs.LG]Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
    Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
    http://arxiv.org/abs/2004.08581v1

    • [cs.LG]Attention Routing: track-assignment detailed routing using attention-based reinforcement learning
    Haiguang Liao, Qingyi Dong, Xuliang Dong, Wentai Zhang, Wangyang Zhang, Weiyi Qi, Elias Fallon, Levent Burak Kara
    http://arxiv.org/abs/2004.09473v1

    • [cs.LG]Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis
    FNU Shweta, Karthik Murugadoss, Samir Awasthi, AJ Venkatakrishnan, Arjun Puranik, Martin Kang, Brian W. Pickering, John C. O’Horo, Philippe R. Bauer, Raymund R. Razonable, Paschalis Vergidis, Zelalem Temesgen, Stacey Rizza, Maryam Mahmood, Walter R. Wilson, Douglas Challener, Praveen Anand, Matt Liebers, Zainab Doctor, Eli Silvert, Hugo Solomon, Tyler Wagner, Gregory J. Gores, Amy W. Williams, John Halamka, Venky Soundararajan, Andrew D. Badley
    http://arxiv.org/abs/2004.09338v1

    • [cs.LG]COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
    Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell
    http://arxiv.org/abs/2004.09112v1

    • [cs.LG]CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices
    Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller
    http://arxiv.org/abs/2004.08675v1

    • [cs.LG]CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
    Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
    http://arxiv.org/abs/2004.08697v1

    • [cs.LG]ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
    Jung-Woo Ha, Kihyun Nam, Jin Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim
    http://arxiv.org/abs/2004.09367v1

    • [cs.LG]Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks
    Elias Chaibub Neto
    http://arxiv.org/abs/2004.09466v1

    • [cs.LG]DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
    Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun
    http://arxiv.org/abs/2004.08919v1

    • [cs.LG]ETC: Encoding Long and Structured Data in Transformers
    Joshua Ainslie, Santiago Ontanon, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai
    http://arxiv.org/abs/2004.08483v1

    • [cs.LG]Efficient Synthesis of Compact Deep Neural Networks
    Wenhan Xia, Hongxu Yin, Niraj K. Jha
    http://arxiv.org/abs/2004.08704v1

    • [cs.LG]Energy-Based Imitation Learning
    Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
    http://arxiv.org/abs/2004.09395v1

    • [cs.LG]FedNAS: Federated Deep Learning via Neural Architecture Search
    Chaoyang He, Murali Annavaram, Salman Avestimehr
    http://arxiv.org/abs/2004.08546v1

    • [cs.LG]GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples
    Julia Lust, Alexandru Paul Condurache
    http://arxiv.org/abs/2004.09179v1

    • [cs.LG]Headless Horseman: Adversarial Attacks on Transfer Learning Models
    Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu
    http://arxiv.org/abs/2004.09007v1

    • [cs.LG]Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
    Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter
    http://arxiv.org/abs/2004.08830v1

    • [cs.LG]Intention Propagation for Multi-agent Reinforcement Learning
    Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
    http://arxiv.org/abs/2004.08883v1

    • [cs.LG]Invariant Integration in Deep Convolutional Feature Space
    Matthias Rath, Alexandru Paul Condurache
    http://arxiv.org/abs/2004.09166v1

    • [cs.LG]Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
    Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
    http://arxiv.org/abs/2004.09031v1

    • [cs.LG]Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents
    Eric Zelikman, William Yin, Kenneth Wang
    http://arxiv.org/abs/2004.09043v1

    • [cs.LG]Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
    Fabian Latorre, Paul Rolland, Volkan Cevher
    http://arxiv.org/abs/2004.08688v1

    • [cs.LG]MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
    Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu. Yu-Feng Li
    http://arxiv.org/abs/2004.09388v1

    • [cs.LG]Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
    Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
    http://arxiv.org/abs/2004.08763v1

    • [cs.LG]Modeling Survival in model-based Reinforcement Learning
    Saeed Moazami, Peggy Doerschuk
    http://arxiv.org/abs/2004.08648v1

    • [cs.LG]Multi-label Stream Classification with Self-Organizing Maps
    Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva, João Manuel Portela da Gama
    http://arxiv.org/abs/2004.09397v1

    • [cs.LG]Optimization in Machine Learning: A Distribution Space Approach
    Yongqiang Cai, Qianxiao Li, Zuowei Shen
    http://arxiv.org/abs/2004.08620v1

    • [cs.LG]Real World Games Look Like Spinning Tops
    Wojciech Marian Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
    http://arxiv.org/abs/2004.09468v1

    • [cs.LG]Recurrent Convolutional Neural Networks help to predict location of Earthquakes
    Roman Kail, Alexey Zaytsev, Evgeny Burnaev
    http://arxiv.org/abs/2004.09140v1

    • [cs.LG]Role-Wise Data Augmentation for Knowledge Distillation
    Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
    http://arxiv.org/abs/2004.08861v1

    • [cs.LG]Roundtrip: A Deep Generative Neural Density Estimator
    Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong
    http://arxiv.org/abs/2004.09017v1

    • [cs.LG]Study of Diffusion Normalized Least Mean M-estimate Algorithms
    Y. Yu, H. He, T. Yang, X. Wang, R. C. de Lamare
    http://arxiv.org/abs/2004.08998v1

    • [cs.LG]The Space of Functions Computed By Deep Layered Machines
    Alexander Mozeika, Bo Li, David Saad
    http://arxiv.org/abs/2004.08930v1

    • [cs.LG]Thompson Sampling for Linearly Constrained Bandits
    Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén
    http://arxiv.org/abs/2004.09258v1

    • [cs.LG]Time Adaptive Reinforcement Learning
    Chris Reinke
    http://arxiv.org/abs/2004.08600v1

    • [cs.LG]Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
    Brian Kenji Iwana, Seiichi Uchida
    http://arxiv.org/abs/2004.08780v1

    • [cs.LG]Tractable Approximate Gaussian Inference for Bayesian Neural Networks
    James-A. Goulet, Luong Ha Nguyen, Saeid Amiri
    http://arxiv.org/abs/2004.09281v1

    • [cs.LG]VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
    Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
    http://arxiv.org/abs/2004.09416v1

    • [cs.LG]WHALETRANS: E2E WHisper to nAturaL spEech conversion using modified TRANSformer network
    Abhishek Niranjan, Mukesh Sharma, Sai Bharath Chandra Gutha, M Ali Basha Shaik
    http://arxiv.org/abs/2004.09347v1

    • [cs.MA]A Novel Multi-Agent System for Complex Scheduling Problems
    Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose
    http://arxiv.org/abs/2004.09312v1

    • [cs.NE]A Weighted Population Update Rule for PACO Applied to the Single Machine Total Weighted Tardiness Problem
    Daniel Abitz, Tom Hartmann, Martin Middendorf
    http://arxiv.org/abs/2004.08433v1

    • [cs.NE]Evolving Diverse Sets of Tours for the Travelling Salesperson Problem
    Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2004.09188v1

    • [cs.NE]Local Search is a Remarkably Strong Baseline for Neural Architecture Search
    T. Den Ottelander, A. Dushatskiy, M. Virgolin, P. A. N. Bosman
    http://arxiv.org/abs/2004.08996v1

    • [cs.NE]The $(1+(λ,λ))$ Genetic Algorithm for Permutations
    Anton Bassin, Maxim Buzdalov
    http://arxiv.org/abs/2004.08664v1

    • [cs.NE]Tree Echo State Autoencoders with Grammars
    Benjamin Paassen, Irena Koprinska, Kalina Yacef
    http://arxiv.org/abs/2004.08925v1

    • [cs.NI]Tracemax: A Novel Single Packet IP Traceback Strategy for Data-Flow Analysis
    Peter Hillmann, Frank Tietze, Gabi Dreo Rodosek
    http://arxiv.org/abs/2004.09327v1

    • [cs.RO]A Subterranean Virtual Cave World for Gazebo based on the DARPA SubT Challenge
    Anton Koval, Christoforos Kanellakis, Emil Vidmark, Jakub Haluska, George Nikolakopoulos
    http://arxiv.org/abs/2004.08452v1

    • [cs.RO]Autonomous task planning and situation awareness in robotic surgery
    Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini
    http://arxiv.org/abs/2004.08911v1

    • [cs.RO]Design and Control of Roller Grasper V2 for In-Hand Manipulation
    Shenli Yuan, Lin Shao, Connor L. Yako, Alex Gruebele, J. Kenneth Salisbury
    http://arxiv.org/abs/2004.08499v1

    • [cs.RO]Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems
    You Li, Javier Ibanez-Guzman
    http://arxiv.org/abs/2004.08467v1

    • [cs.RO]Model Predictive Path Integral Control Framework for Partially Observable Navigation: A Quadrotor Case Study
    Ihab S. Mohamed, Guillaume Allibert, Philippe Martinet
    http://arxiv.org/abs/2004.08641v1

    • [cs.RO]Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting Robots
    Ya Xiong, Yuanyue Ge, Pål Johan From
    http://arxiv.org/abs/2004.09233v1

    • [cs.RO]Robust Frequency-Based Structure Extraction
    Tomasz Piotr Kucner, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal
    http://arxiv.org/abs/2004.08794v1

    • [cs.RO]Self-Exploration in Complex Unknown Environments using Hybrid Map Representation
    Wenchao Gao, Matthew Booker, Jiadong Wang
    http://arxiv.org/abs/2004.08535v1

    • [cs.RO]Spatial Action Maps for Mobile Manipulation
    Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser
    http://arxiv.org/abs/2004.09141v1

    • [cs.RO]X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
    Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg
    http://arxiv.org/abs/2004.09039v1

    • [cs.RO]Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition
    Keenan Burnett, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot
    http://arxiv.org/abs/2004.08752v1

    • [cs.SD]CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
    Shinji Watanabe, Michael Mandel, Jon Barker, Emmanuel Vincent
    http://arxiv.org/abs/2004.09249v1

    • [cs.SI]A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT
    Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai, Ye Yang, Yehia Massoud
    http://arxiv.org/abs/2004.08751v1

    • [cs.SI]Community detection with node attributes in multilayer networks
    Martina Contisciani, Eleanor Power, Caterina De Bacco
    http://arxiv.org/abs/2004.09160v1

    • [cs.SI]Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication
    Deborah Bunker, Milad Mirbabaie, Stefan Stieglitz
    http://arxiv.org/abs/2004.08573v1

    • [cs.SI]How context impacts on media choice
    Stefan Stieglitz, Tobias Brockmann, Milad Mirbabaie
    http://arxiv.org/abs/2004.08571v1

    • [cs.SI]Infections May Not be Suppressed by Moderate Restriction of Contacts — Simulated Expansions of Virus in Constrained Scale-Free Networks
    Yukio Ohsawa
    http://arxiv.org/abs/2004.09372v1

    • [cs.SI]Junk News Bubbles: Modelling the Rise and Fall of Attention in Online Arenas
    Maria Castaldo, Tommaso Venturini, Paolo Frasca
    http://arxiv.org/abs/2004.08863v1

    • [cs.SI]Robust and Scalable Entity Alignment in Big Data
    James Flamino, Christopher Abriola, Ben Zimmerman, Zhongheng Li, Joel Douglas
    http://arxiv.org/abs/2004.08991v1

    • [cs.SI]Sense-Giving Strategies of Media Organisations in Social Media Disaster Communication: Findings from Hurricane Harvey
    Julian Marx, Milad Mirbabaie, Christian Ehnis
    http://arxiv.org/abs/2004.08567v1

    • [cs.SI]Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions
    Patty Commins, David Liben-Nowell, Tina Liu, Kiran Tomlinson
    http://arxiv.org/abs/2004.08993v1

    • [cs.SI]The Potential of Social Media Analytics for Improving Social Media Communication of Emergency Agencies
    Milad Mirbabaie, Jennifer Fromm, Simone Löppenberg, Sophie Meinig, Matthias Reuße
    http://arxiv.org/abs/2004.08570v1

    • [cs.SI]You are now an Influencer! Measuring CEO Reputation in Social Media
    Julian Marx, Milad Mirbabaie, Stefan Stieglitz
    http://arxiv.org/abs/2004.08569v1

    • [econ.EM]Multi-frequency-band tests for white noise under heteroskedasticity
    Mengya Liu, Fukan Zhu, Ke Zhu
    http://arxiv.org/abs/2004.09161v1

    • [econ.EM]Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
    Felix Laumann, Julius von Kügelgen, Mauricio Barahona
    http://arxiv.org/abs/2004.09318v1

    • [econ.TH]The Morality and Rationality of Ambiguity Aversion
    Brian Jabarian
    http://arxiv.org/abs/2004.08892v1

    • [eess.IV]A fast semi-automatic method for classification and counting the number and types of blood cells in an image
    Hamed Sadeghi, Shahram Shirani, David W. Capson
    http://arxiv.org/abs/2004.08690v1

    • [eess.IV]Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks
    Sudeep Kondal, Viraj Kulkarni, Ashrika Gaikwad, Amit Kharat, Aniruddha Pant
    http://arxiv.org/abs/2004.08572v1

    • [eess.IV]Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
    Ali Hariri, Kamran Alipour, Yash Mantri, Jurgen P. Schulze, Jesse V. Jokerst
    http://arxiv.org/abs/2004.08782v1

    • [eess.IV]Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning
    Min Gao, Yukun Guo, Tristan T. Hormel, Jiande Sun, Thomas Hwang, Yali Jia
    http://arxiv.org/abs/2004.08957v1

    • [eess.IV]Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images
    Prajval Koul
    http://arxiv.org/abs/2004.08960v1

    • [eess.IV]Superkernel Neural Architecture Search for Image Denoising
    Marcin Możejko, Tomasz Latkowski, Łukasz Treszczotko, Michał Szafraniuk, Krzysztof Trojanowski
    http://arxiv.org/abs/2004.08870v1

    • [eess.IV]UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
    Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu
    http://arxiv.org/abs/2004.08790v1

    • [eess.SP]A Comprehensive Survey on Traffic Prediction
    Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Baocai Yin
    http://arxiv.org/abs/2004.08555v1

    • [eess.SP]Device Authentication Codes based on RF Fingerprinting using Deep Learning
    Joshua Bassey, Xiangfang Li, Lijun Qian
    http://arxiv.org/abs/2004.08742v1

    • [eess.SP]Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
    Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi
    http://arxiv.org/abs/2004.08821v1

    • [eess.SP]Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
    Florenc Demrozi, Graziano Pravadelli, Patrick J Tighe, Azra Bihorac, Parisa Rashidi
    http://arxiv.org/abs/2004.09134v1

    • [eess.SP]MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification
    Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
    http://arxiv.org/abs/2004.08914v1

    • [eess.SP]Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems
    Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai
    http://arxiv.org/abs/2004.09168v1

    • [eess.SP]Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper
    Xinran Shi, Xiaowei Yue, Zhiyong Liang, Jianjun Shi
    http://arxiv.org/abs/2004.08968v1

    • [math.CO]Quasi-planar monomials over finite fields
    Sartaj Ul Hasan, Mohit Pal
    http://arxiv.org/abs/2004.09436v1

    • [math.PR]Prove Costa’s Entropy Power Inequality and High Order Inequality for Differential Entropy with Semidefinite Programming
    Laigang Guo, Chun-Ming Yuan, Xiao-Shan Gao
    http://arxiv.org/abs/2004.08543v1

    • [math.SP]From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds
    Nicolas Garcia Trillos, Ryan Murray, Matthew Thorpe
    http://arxiv.org/abs/2004.09304v1

    • [math.ST]Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
    Alain Celisse, Martin Wahl
    http://arxiv.org/abs/2004.08436v1

    • [math.ST]Applications of Structural Statistics: Geometrical Inference in Exponential Families
    Patrick Michl
    http://arxiv.org/abs/2004.08909v1

    • [math.ST]Estimating Ising Models from One Sample
    Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
    http://arxiv.org/abs/2004.09370v1

    • [math.ST]Is distribution-free inference possible for binary regression?
    Rina Foygel Barber
    http://arxiv.org/abs/2004.09477v1

    • [math.ST]Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates
    Xuan Cao, Kyoungjae Lee
    http://arxiv.org/abs/2004.09306v1

    • [math.ST]On the Theoretical Properties of the Network Jackknife
    Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
    http://arxiv.org/abs/2004.08935v1

    • [math.ST]Robust Density Estimation under Besov IPM Losses
    Ananya Uppal, Shashank Singh, Barnabas Poczos
    http://arxiv.org/abs/2004.08597v1

    • [math.ST]The Geometry of Uniqueness and Model Selection of Penalized Estimators including SLOPE, LASSO, and Basis Pursuit
    Ulrike Schneider, Patrick Tardivel
    http://arxiv.org/abs/2004.09106v1

    • [math.ST]The Variance of Causal Effect Estimators for Binary V-structures
    Jack Kuipers, Giusi Moffa
    http://arxiv.org/abs/2004.09181v1

    • [physics.ao-ph]Intra-day solar irradiation forecast using RLS filters and satellite images
    Franco Marchesoni-Acland, Rodrigo Alonso Suárez
    http://arxiv.org/abs/2004.09032v1

    • [physics.soc-ph]On the dynamics emerging from pandemics and infodemics
    Stephan Leitner
    http://arxiv.org/abs/2004.08917v1

    • [q-bio.PE]Data Driven Modeling of Projected Mitigation and Suppressing Strategy Interventions for SARS-COV 2 in Ghana
    Emmanuel de-Graft Johnson Owusu-Ansah Atinuke O. Adebanji Eric Nimako-Aidoo
    http://arxiv.org/abs/2004.09009v1

    • [q-bio.PE]Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19
    Abd AlRahman AlMomani, Erik Bollt
    http://arxiv.org/abs/2004.08897v1

    • [q-bio.PE]Monitoring the spread of COVID-19 by estimating reproduction numbers over time
    Thomas Hotz, Matthias Glock, Stefan Heyder, Sebastian Semper, Anne Böhle, Alexander Krämer
    http://arxiv.org/abs/2004.08557v1

    • [q-bio.QM]Predicting MMSE Score from Finger-Tapping Measurement
    Jian Ma
    http://arxiv.org/abs/2004.08730v1

    • [q-fin.RM]Hedging with Neural Networks
    Johannes Ruf, Weiguan Wang
    http://arxiv.org/abs/2004.08891v1

    • [stat.AP]A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems
    Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
    http://arxiv.org/abs/2004.08564v1

    • [stat.AP]BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
    Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado
    http://arxiv.org/abs/2004.07743v2

    • [stat.AP]Causal Effects of Prenatal Drug Exposure on Birth Defects with Missing by Terathanasia
    Andrew Ying, Ronghui Xu, Christina D. Chambers, Kenneth Lyons Jones
    http://arxiv.org/abs/2004.08510v1

    • [stat.AP]Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact
    Stefano Maria Iacus, Fabrizio Natale, Carlos Satamaria, Spyridon Spyratos, Michele Vespe
    http://arxiv.org/abs/2004.08460v1

    • [stat.AP]Heritability curves: a local measure of heritability
    Geir D. Berentsen, Francesca Azzolini, Hans J. Skaug, Rolv T. Lie, Håkon K. Gjessing
    http://arxiv.org/abs/2004.08584v1

    • [stat.AP]Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
    Fekadu L. Bayisa, Patrik Ryden, Ottmar Cronie
    http://arxiv.org/abs/2004.08416v1

    • [stat.AP]stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R
    Lisa Amrhein, Christiane Fuchs
    http://arxiv.org/abs/2004.08809v1

    • [stat.CO]Orbit: Probabilistic Forecast with Exponential Smoothing
    Edwin Ng, Zhishi Wang, Huigang Chen, Steve Yang, Slawek Smyl
    http://arxiv.org/abs/2004.08492v1

    • [stat.CO]Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC
    Jere Koskela
    http://arxiv.org/abs/2004.08807v1

    • [stat.ME]A New Smoothing Algorithm for Jump Markov Linear Systems
    Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
    http://arxiv.org/abs/2004.08561v1

    • [stat.ME]Bayesian Parameter Identification for Jump Markov Linear Systems
    Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness
    http://arxiv.org/abs/2004.08565v1

    • [stat.ME]Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference
    Chan Park, Hyunseung Kang
    http://arxiv.org/abs/2004.08950v1

    • [stat.ME]Efficient implementation of median bias reduction
    Euloge Clovis Kenne Pagui, Alessandra Salvan, Nicola Sartori
    http://arxiv.org/abs/2004.08630v1

    • [stat.ME]Enforcing stationarity through the prior in vector autoregressions
    Sarah E. Heaps
    http://arxiv.org/abs/2004.09455v1

    • [stat.ME]Integer-valued autoregressive process with flexible marginal and innovation distributions
    Matheus B. Guerrero, Wagner Barreto-Souza, Hernando Ombao
    http://arxiv.org/abs/2004.08667v1

    • [stat.ME]Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning
    Xiaokang Luo, Tirthankar Dasgupta, Minge Xie, Regina Liu
    http://arxiv.org/abs/2004.08472v1

    • [stat.ME]Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations
    Quan Vu, Andrew Zammit-Mangion, Noel Cressie
    http://arxiv.org/abs/2004.08724v1

    • [stat.ME]Multiplicity for a Group Sequential Trial with Biomarker Subpopulations
    Ting-Yu Chen, Jing Zhao, Linda Sun, Keaven Anderson
    http://arxiv.org/abs/2004.08458v1

    • [stat.ME]Noise-Induced Randomization in Regression Discontinuity Designs
    Dean Eckles, Nikolaos Ignatiadis, Stefan Wager, Han Wu
    http://arxiv.org/abs/2004.09458v1

    • [stat.ME]Optimal Experimental Design for Mathematical Models of Hematopoiesis
    Luis Martinez Lomeli, Abdon Iniguez, Babak Shahbaba, John S Lowengrub, Vladimir Minin
    http://arxiv.org/abs/2004.09065v1

    • [stat.ME]R package SamplingStrata: new developments and extension to Spatial Sampling
    Marco Ballin, Giulio Barcaroli
    http://arxiv.org/abs/2004.09366v1

    • [stat.ME]R packages for the statistical analysis of doubly truncated data: a review
    Jacobo de Uña-Álvarez
    http://arxiv.org/abs/2004.08978v1

    • [stat.ME]Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis
    Yong He, Pengfei Liu, Xinsheng Zhang, Wang Zhou
    http://arxiv.org/abs/2004.09018v1

    • [stat.ME]Sequential hypothesis testing in machine learning driven crude oil jump detection
    Michael Roberts, Indranil SenGupta
    http://arxiv.org/abs/2004.08889v1

    • [stat.ME]Statistical inference in massive datasets by empirical likelihood
    Xuejun Ma, Shaochen Wang, Wang Zhou
    http://arxiv.org/abs/2004.08580v1

    • [stat.ML]Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation
    Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry
    http://arxiv.org/abs/2004.09434v1

    • [stat.ML]Kernels for time series with irregularly-spaced multivariate observations
    Ahmed Guecioueur, Franz J. Király
    http://arxiv.org/abs/2004.08545v1

    • [stat.ML]Mechanism Design with Bandit Feedback
    Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica
    http://arxiv.org/abs/2004.08924v1

    • [stat.ML]New Metrics Between Rational Spectra and their Connection to Optimal Transport
    Fredrik Bagge Carlson, Mandar Chitre
    http://arxiv.org/abs/2004.09152v1

    • [stat.ML]Protecting Classifiers From Attacks. A Bayesian Approach
    Victor Gallego, Roi Naveiro, Alberto Redondo, David Rios Insua, Fabrizio Ruggeri
    http://arxiv.org/abs/2004.08705v1

    • [stat.ML]Safe Screening Rules for $\ell_0$-Regression
    Alper Atamtürk, Andrés Gómez
    http://arxiv.org/abs/2004.08773v1

    • [stat.ML]Stochastic gradient algorithms from ODE splitting perspective
    Daniil Merkulov, Ivan Oseledets
    http://arxiv.org/abs/2004.08981v1

    • [stat.ML]Towards Understanding Normalization in Neural ODEs
    Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets
    http://arxiv.org/abs/2004.09222v1