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