cs.AI - 人工智能

    cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-th - 高能物理理论 math.CO - 组合数学 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 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 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
    • [cs.AI]Combinatorial Decision Dags: A Natural Computational Model for General Intelligence
    • [cs.AI]Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests
    • [cs.AI]Grounding Occam’s Razor in a Formal Theory of Simplicity
    • [cs.AI]Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing
    • [cs.AI]What Kind of Programming Language Best Suits Integrative AGI?
    • [cs.CE]Deep learning-based topological optimization for representing a user-specified design area
    • [cs.CG]Measuring spatial uniformity with the hypersphere chord length distribution
    • [cs.CL]$\texttt{ArCOV-19}$: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
    • [cs.CL]A New Dataset for Natural Language Inference from Code-mixed Conversations
    • [cs.CL]AMR Parsing via Graph-Sequence Iterative Inference
    • [cs.CL]Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension
    • [cs.CL]Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction
    • [cs.CL]Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
    • [cs.CL]BLEU might be Guilty but References are not Innocent
    • [cs.CL]CLUE: A Chinese Language Understanding Evaluation Benchmark
    • [cs.CL]Classifying Constructive Comments
    • [cs.CL]DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
    • [cs.CL]End to End Chinese Lexical Fusion Recognition with Sememe Knowledge
    • [cs.CL]Explaining Question Answering Models through Text Generation
    • [cs.CL]Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
    • [cs.CL]From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
    • [cs.CL]Generating Fact Checking Explanations
    • [cs.CL]Improving Disfluency Detection by Self-Training a Self-Attentive Model
    • [cs.CL]Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots
    • [cs.CL]Joint translation and unit conversion for end-to-end localization
    • [cs.CL]Keyword Assisted Topic Models
    • [cs.CL]LAReQA: Language-agnostic answer retrieval from a multilingual pool
    • [cs.CL]MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
    • [cs.CL]Neural Machine Translation: Challenges, Progress and Future
    • [cs.CL]Pre-training Text Representations as Meta Learning
    • [cs.CL]Pretrained Transformers Improve Out-of-Distribution Robustness
    • [cs.CL]ProFormer: Towards On-Device LSH Projection Based Transformers
    • [cs.CL]Public Self-consciousness for Endowing Dialogue Agents with Consistent Persona
    • [cs.CL]Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
    • [cs.CL]Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
    • [cs.CL]TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER
    • [cs.CL]Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
    • [cs.CL]Unified Multi-Criteria Chinese Word Segmentation with BERT
    • [cs.CL]Unsupervised Commonsense Question Answering with Self-Talk
    • [cs.CL]VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
    • [cs.CL]When Does Unsupervised Machine Translation Work?
    • [cs.CL]You Impress Me: Dialogue Generation via Mutual Persona Perception
    • [cs.CR]Blockchain in the Internet of Things: Architectures and Implementation
    • [cs.CR]DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
    • [cs.CR]High-Accuracy Malware Classification with a Malware-Optimized Deep Learning Model
    • [cs.CR]Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
    • [cs.CR]PrivEdge: From Local to Distributed Private Training and Prediction
    • [cs.CR]SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
    • [cs.CR]Visual Spoofing in content based spam detection
    • [cs.CV]A Novel Pose Proposal Network and Refinement Pipeline for Better Object Pose Estimation
    • [cs.CV]A Survey of Single-Scene Video Anomaly Detection
    • [cs.CV]A negative case analysis of visual grounding methods for VQA
    • [cs.CV]Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
    • [cs.CV]Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion
    • [cs.CV]Compositional Visual Generation and Inference with Energy Based Models
    • [cs.CV]Cross-domain Correspondence Learning for Exemplar-based Image Translation
    • [cs.CV]Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images
    • [cs.CV]Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
    • [cs.CV]Density Map Guided Object Detection in Aerial Images
    • [cs.CV]Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
    • [cs.CV]Enabling Incremental Knowledge Transfer for Object Detection at the Edge
    • [cs.CV]FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
    • [cs.CV]FDA: Fourier Domain Adaptation for Semantic Segmentation
    • [cs.CV]Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations
    • [cs.CV]Image Co-skeletonization via Co-segmentation
    • [cs.CV]Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
    • [cs.CV]Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization
    • [cs.CV]Inter-Region Affinity Distillation for Road Marking Segmentation
    • [cs.CV]Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
    • [cs.CV]Learning Event-Based Motion Deblurring
    • [cs.CV]Learning Spatial Relationships between Samples of Image Shapes
    • [cs.CV]Learning to Manipulate Individual Objects in an Image
    • [cs.CV]Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
    • [cs.CV]MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
    • [cs.CV]Monocular Depth Estimation with Self-supervised Instance Adaptation
    • [cs.CV]MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera
    • [cs.CV]Online Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry
    • [cs.CV]OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
    • [cs.CV]PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
    • [cs.CV]Probabilistic Orientated Object Detection in Automotive Radar
    • [cs.CV]Regularizing Meta-Learning via Gradient Dropout
    • [cs.CV]SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation
    • [cs.CV]SSP: Single Shot Future Trajectory Prediction
    • [cs.CV]Self-Supervised Tuning for Few-Shot Segmentation
    • [cs.CV]Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences
    • [cs.CV]Sharing Matters for Generalization in Deep Metric Learning
    • [cs.CV]Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
    • [cs.CV]Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset
    • [cs.CV]Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
    • [cs.CV]Towards Transferable Adversarial Attack against Deep Face Recognition
    • [cs.CV]UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
    • [cs.CV]Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
    • [cs.CV]Unsupervised Few-shot Learning via Distribution Shift-based Augmentation
    • [cs.CV]Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions
    • [cs.CV]YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos
    • [cs.CY]A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus
    • [cs.CY]Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models
    • [cs.CY]Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
    • [cs.CY]Individual Fairness in Pipelines
    • [cs.CY]Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests
    • [cs.DB]A1: A Distributed In-Memory Graph Database
    • [cs.DB]Complaint-driven Training Data Debugging for Query 2.0
    • [cs.DC]A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs
    • [cs.DC]Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
    • [cs.DC]Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
    • [cs.DC]Detecting Straggler MapReduce Tasks in Big Data Processing Infrastructure by Neural Network
    • [cs.DC]Exploring Erasure Coding Techniques for High Availability of Intermediate Data
    • [cs.DC]Intelligent Orchestration of ADAS Pipelines on Next Generation Automotive Platforms
    • [cs.DC]QoS-Driven Job Scheduling: Multi-Tier Dependency Considerations
    • [cs.DC]Service Level Driven Job Scheduling i
    1000
    n Multi-Tier Cloud Computing: A Biologically Inspired Approach
    • [cs.DC]Smart Contracts on the Move
    • [cs.DC]Trua: Efficient Task Replication for Flexible User-defined Availability in Scientific Grids
    • [cs.DL]A Digital Ecosystem for Animal Movement Science: Making animal movement datasets, data-linkage techniques, methods, and environmental layers easier to find, interpret, and analyze
    • [cs.DL]Using Photo Modeling Based 3DGRSL to Promote the Sustainability of Geo-Education, a case study from China
    • [cs.DS]Adversarially Robust Streaming Algorithms via Differential Privacy
    • [cs.DS]Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences
    • [cs.DS]Learning Mixtures of Spherical Gaussians via Fourier Analysis
    • [cs.DS]Optimizing Reachability Sets in Temporal Graphs by Delaying
    • [cs.IR]Large-scale Real-time Personalized Similar Product Recommendations
    • [cs.IT]Comparison Between the Joint and Successive Decoding Schemes for the Binary CEO Problem
    • [cs.IT]Constellation Design for Media-based Modulation using Block Codes and Squaring Construction
    • [cs.IT]Cooperative relaying with energy harvesting relays : Asymptotic analysis using extreme value theory for non-identically distributed RVs
    • [cs.IT]DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
    • [cs.IT]Information-Energy Capacity Region for SWIPT Systems with Power Amplifier Nonlinearity
    • [cs.IT]Joint User Identification and Channel Estimation Over Rician Fading Channels
    • [cs.IT]MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
    • [cs.IT]Modeling and Mitigating Errors in Belief Propagation for Distributed Detection
    • [cs.IT]New Construction of Optimal Type-II Binary Z-Complementary Pairs
    • [cs.IT]On the Performance of Dual-Hop Systems over Mixed FSO/mmWave Fading Channels
    • [cs.IT]Optimal Reconstruction Codes for Deletion Channels
    • [cs.IT]Quasi-Orthogonal Z-Complementary Pairs and Its Applications in Fully Polarimetric Radar Systems
    • [cs.IT]Selective Encoding Policies for Maximizing Information Freshness
    • [cs.IT]Successive Cancellation Inactivation Decoding for Modified Reed-Muller and eBCH Codes
    • [cs.LG]A Non-Parametric Test to Detect Data-Copying in Generative Models
    • [cs.LG]A Survey on Impact of Transient Faults on BNN Inference Accelerators
    • [cs.LG]A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods
    • [cs.LG]Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
    • [cs.LG]Adversarial Likelihood-Free Inference on Black-Box Generator
    • [cs.LG]Attribute-based Regularization of VAE Latent Spaces
    • [cs.LG]Autoencoding Generative Adversarial Networks
    • [cs.LG]Bayesian Surprise in Indoor Environments
    • [cs.LG]Bit-Parallel Vector Composability for Neural Acceleration
    • [cs.LG]COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
    • [cs.LG]Controllable Variational Autoencoder
    • [cs.LG]Convex Sets of Robust Recurrent Neural Networks
    • [cs.LG]DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
    • [cs.LG]Depthwise Discrete Representation Learning
    • [cs.LG]Discriminative Learning via Adaptive Questioning
    • [cs.LG]Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation
    • [cs.LG]Exploit Where Optimizer Explores via Residuals
    • [cs.LG]Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
    • [cs.LG]Gradients as Features for Deep Representation Learning
    • [cs.LG]Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems
    • [cs.LG]In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL
    • [cs.LG]Ivy: Instrumental Variable Synthesis for Causal Inference
    • [cs.LG]Learning from Rules Generalizing Labeled Exemplars
    • [cs.LG]Learning under Concept Drift: A Review
    • [cs.LG]MLPSVM:A new parallel support vector machine to multi-label learning
    • [cs.LG]Meta-Learning in Neural Networks: A Survey
    • [cs.LG]Minimizing FLOPs to Learn Efficient Sparse Representations
    • [cs.LG]Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
    • [cs.LG]On Error Correction Neural Networks for Economic Forecasting
    • [cs.LG]On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
    • [cs.LG]On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0)
    • [cs.LG]Optimal Learning for Sequential Decisions in Laboratory Experimentation
    • [cs.LG]Principal Neighbourhood Aggregation for Graph Nets
    • [cs.LG]Regret Bounds for Kernel-Based Reinforcement Learning
    • [cs.LG]Reinforcement Learning via Reasoning from Demonstration
    • [cs.LG]Rethinking Differentiable Search for Mixed-Precision Neural Networks
    • [cs.LG]Revisiting Loss Landscape for Adversarial Robustness
    • [cs.LG]Robust Large-Margin Learning in Hyperbolic Space
    • [cs.LG]STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
    • [cs.LG]Scenario optimization with relaxation: a new tool for design and application to machine learning problems
    • [cs.LG]Technical Report: NEMO DNN Quantization for Deployment Model
    • [cs.LG]Thinking While Moving: Deep Reinforcement L
    7b61
    earning with Concurrent Control
    • [cs.LG]Topology of deep neural networks
    • [cs.LG]Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
    • [cs.LG]Trajectory annotation using sequences of spatial perception
    • [cs.LG]Variational Autoencoders with Normalizing Flow Decoders
    • [cs.LG]Verification of Deep Convolutional Neural Networks Using ImageStars
    • [cs.LG]k-decay: A New Method For Learning Rate Schedule
    • [cs.LO]Quantifying Notes Revisited
    • [cs.MM]Stacked Convolutional Deep Encoding Network for Video-Text Retrieval
    • [cs.NE]Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network
    • [cs.NE]Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
    • [cs.NE]Exponential Upper Bounds for the Runtime of Randomized Search Heuristics
    • [cs.NI]Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
    • [cs.PF]GAPP: A Fast Profiler for Detecting Serialization Bottlenecks in Parallel Linux Applications
    • [cs.RO]A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production
    • [cs.RO]Distributed Multi-Target Tracking for Autonomous Vehicle Fleets
    • [cs.RO]FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging
    • [cs.RO]Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference
    • [cs.RO]Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments
    • [cs.RO]Robot self/other distinction: active inference meets neural networks learning in a mirror
    • [cs.RO]Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
    • [cs.RO]Shape Estimation for Elongated Deformable Object using B-spline Chained Multiple Random Matrices Model
    • [cs.RO]Simulation-based Lidar Super-resolution for Ground Vehicles
    • [cs.RO]Time-Informed Exploration For Robot Motion Planning
    • [cs.SE]Is 40 the new 60? How popular media portrays the employability of older software developers
    • [cs.SE]WES: Agent-based User Interaction Simulation on Real Infrastructure
    • [cs.SE]Workflow Automation for Cyber Physical System Development Processes
    • [cs.SI]Behavior variations and their implications for popularity promotions: From elites to mass in Weibo
    • [cs.SI]Community Structures in Information Networks for a Discrete Agent Population
    • [cs.SI]Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization
    • [cs.SI]Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok
    • [cs.SI]Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews
    • [cs.SI]Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion
    • [cs.SI]Norm violation in online communities — A study of Stack Overflow comments
    • [cs.SI]Return to basics: Clustering of scientific literature using structural information
    • [cs.SI]Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities
    • [cs.SI]Understanding the Socio-Economic Disruption in the United States during COVID-19’s Early Days
    • [cs.SI]Vaccination strategies on dynamic networks with indirect transmission links and limited contact information
    • [cs.SI]Who are Political Retweeters?, Demographic comparison of political retweeters with retweeters of non-political personalities
    • [cs.SI]mFLICA: An R package for Inferring Leadership of Coordination From Time Series
    • [cs.SI]paper2repo: GitHub Repository Recommendation for Academic Papers
    • [econ.EM]A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
    • [eess.AS]Data augmentation using generative networks to identify dementia
    • [eess.AS]From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
    • [eess.AS]Improved Speech Representations with Multi-Target Autoregressive Predictive Coding
    • [eess.IV]A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images
    • [eess.IV]Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
    • [eess.IV]Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review
    • [eess.IV]Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
    • [eess.IV]KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
    • [eess.IV]Multi-modal Datasets for Super-resolution
    • [eess.IV]Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
    • [eess.IV]Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
    • [eess.IV]The Role of Stem Noise in Visual Perception and Image Quality Measurement
    • [eess.IV]Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
    • [eess.IV]Underwater Image Enhancement Based on Structure-Texture Reconstruction
    • [eess.IV]Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
    • [eess.IV]When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
    • [eess.IV]Y-net: Biomedical Image Segmentation and Clustering
    • [eess.SP]Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
    • [eess.SP]Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks
    • [eess.SP]Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
    • [eess.SP]Gait Recovery System for Parkinson’s Disease using Machine Learning on Embedded Platforms
    • [eess.SP]Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
    • [eess.SP]Minimal Filtering Algorithms for Convolutional Neural Networks
    • [eess.SP]RaSSteR: Random Sparse Step-Frequency Radar
    • [eess.SP]Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network
    • [eess.SY]Energy Shaping Control of a CyberOctopus Soft Arm
    • [eess.SY]Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition
    • [eess.SY]NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
    • [hep-th]Machine-Learning Dessins d’Enfants: Explorations via Modular and Seiberg-Witten Curves
    • [math.CO]On the existence of $s$-extremal singly even self-dual codes
    • [math.NA]Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing
    • [math.PR]Exact recovery and sharp thresholds of Stochastic Ising Block Model
    • [math.ST]Bayesian Shrinkage towards Sharp Minimaxity
    • [math.ST]Convergence of de Finetti’s mixing measure in latent structure models for observed exchangeable sequences
    • [math.ST]Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data
    • [math.ST]Robust estimation with Lasso when outputs are adversarially contaminated
    • [math.ST]Statistical inference and Bayesian optimal life-testing plans under Type-II unified hybrid censoring scheme
    • [physics.comp-ph]On Strong Scaling and Open Source Tools for Analyzing Atom Probe Tomography Data
    • [physics.soc-ph]Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
    • [q-bio.PE]Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic
    • [q-bio.QM]Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
    • [q-fin.RM]A new multilayer network construction via Tensor learning
    • [q-fin.TR]A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
    • [quant-ph]At the Interface of Algebra and Statistics
    • [quant-ph]K-spin Hamiltonian for quantum-resolvable Markov decision processes
    • [stat.AP]Bayesian modelling for spatially misaligned health areal data: a multiple membership approach
    • [stat.AP]Modeling the Heterogeneity in COVID-19’s Reproductive Number and its Impact on Predictive Scenarios
    • [stat.AP]Multiple repairable systems under dependent competing risks with nonparametric Frailty
    • [stat.AP]Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing
    • [stat.AP]Spatial Matrix Completion for Spatially-Misaligned and High-Dimensional Air Pollution Data
    • [stat.AP]The effect of stay-at-home orders on COVID-19 infections in the United States
    • [stat.CO]Scaling Bayesian inference of mixed multinomial logit models to very large datasets
    • [stat.ME]A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
    • [stat.ME]Complex Discontinuity Designs Using Covariates
    • [stat.ME]Covariance Estimation for Matrix-valued Data
    • [stat.ME]Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect
    • [stat.ME]Handling missing data in a neural network approach for the identification of charged particles in a multilayer detector
    • [stat.ME]Multivariate Medial Concordance
    • [stat.ME]Quantile regression on inactivity time
    • [stat.ME]Robust adaptive variable selection in ultra-high dimensional regression models based on the density power divergence loss
    • [stat.ME]The GWR route map: a guide to the informed application of Geographically Weighted Regression
    • [stat.ME]Vintage Factor Analysis with Varimax Performs Statistical Inference
    • [stat.ML]Adversarial robustness guarantees for random deep neural networks
    • [stat.ML]Anomaly Detection in Trajectory Data with Normalizing Flows
    • [stat.ML]Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks
    • [stat.ML]Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity
    • [stat.ML]Uncertainty estimation for classification and risk prediction in medical settings

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    • [cs.AI]Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
    Kaijie Xu, Witold Pedrycz, Zhiwu Li
    http://arxiv.org/abs/2004.05764v1

    • [cs.AI]Combinatorial Decision Dags: A Natural Computational Model for General Intelligence
    Ben Goertzel
    http://arxiv.org/abs/2004.05268v1

    • [cs.AI]Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests
    Hyunjae Kim, Yookyung Koh, Jinheon Baek, Jaewoo Kang
    http://arxiv.org/abs/2004.05352v1

    • [cs.AI]Grounding Occam’s Razor in a Formal Theory of Simplicity
    Ben Goertzel
    http://arxiv.org/abs/2004.05269v1

    • [cs.AI]Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing
    Naveed Haghani, Claudio Contardo, Julian Yarkony
    http://arxiv.org/abs/2004.05499v1

    • [cs.AI]What Kind of Programming Language Best Suits Integrative AGI?
    Ben Goertzel
    http://arxiv.org/abs/2004.05267v1

    • [cs.CE]Deep learning-based topological optimization for representing a user-specified design area
    Keigo Nakamura, Yoshiro Suzuki
    http://arxiv.org/abs/2004.05461v1

    • [cs.CG]Measuring spatial uniformity with the hypersphere chord length distribution
    Panagiotis Sidiropoulos
    http://arxiv.org/abs/2004.05692v1

    • [cs.CL]$\texttt{ArCOV-19}$: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
    Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed
    http://arxiv.org/abs/2004.05861v1

    • [cs.CL]A New Dataset for Natural Language Inference from Code-mixed Conversations
    Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
    http://arxiv.org/abs/2004.05051v2

    • [cs.CL]AMR Parsing via Graph-Sequence Iterative Inference
    Deng Cai, Wai Lam
    http://arxiv.org/abs/2004.05572v1

    • [cs.CL]Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension
    Adyasha Maharana, Mohit Bansal
    http://arxiv.org/abs/2004.06076v1

    • [cs.CL]Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction
    Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen
    http://arxiv.org/abs/2004.05438v1

    • [cs.CL]Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
    Yufei Tian, Jianfei Yu, Jing Jiang
    http://arxiv.org/abs/2004.05755v1

    • [cs.CL]BLEU might be Guilty but References are not Innocent
    Markus Freitag, David Grangier, Isaac Caswell
    http://arxiv.org/abs/2004.06063v1

    • [cs.CL]CLUE: A Chinese Language Understanding Evaluation Benchmark
    Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan
    http://arxiv.org/abs/2004.05986v1

    • [cs.CL]Classifying Constructive Comments
    Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
    http://arxiv.org/abs/2004.05476v1

    • [cs.CL]DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
    Javad PourMostafa Roshan Sharami, Parsa Abbasi Sarabestani, Seyed Abolghasem Mirroshandel
    http://arxiv.org/abs/2004.05328v1

    • [cs.CL]End to End Chinese Lexical Fusion Recognition with Sememe Knowledge
    Yijiang Liu, Meishan Zhang, Donghong Ji
    http://arxiv.org/abs/2004.05456v1

    • [cs.CL]Explaining Question Answering Models through Text Generation
    Veronica Latcinnik, Jonathan Berant
    http://arxiv.org/abs/2004.05569v1

    • [cs.CL]Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
    Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
    http://arxiv.org/abs/2004.05887v1

    • [cs.CL]From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
    Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tur
    http://arxiv.org/abs/2004.05827v1

    • [cs.CL]Generating Fact Checking Explanations
    Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
    http://arxiv.org/abs/2004.05773v1

    • [cs.CL]Improving Disfluency Detection by Self-Training a Self-Attentive Model
    Paria Jamshid Lou, Mark Johnson
    http://arxiv.org/abs/2004.05323v1

    • [cs.CL]Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots
    DongHyun Choi, IlNam Park, Myeong Cheol Shin, EungGyun Kim, Dong Ryeol Shin
    http://arxiv.org/abs/2004.05744v1

    • [cs.CL]Joint translation and unit conversion for end-to-end localization
    Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
    http://arxiv.org/abs/2004.05219v1

    • [cs.CL]Keyword Assisted Topic Models
    Shusei Eshima, Kosuke Imai, Tomoya Sasaki
    http://arxiv.org/abs/2004.05964v1

    • [cs.CL]LAReQA: Language-agnostic answer retrieval from a multilingual pool
    Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, Yinfei Yang
    http://arxiv.org/abs/2004.05484v1

    • [cs.CL]MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
    Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen
    http://arxiv.org/abs/2004.05812v1

    • [cs.CL]Neural Machine Translation: Challenges, Progress and Future
    Jiajun Zhang, Chengqing Zong
    http://arxiv.org/abs/2004.05809v1

    • [cs.CL]Pre-training Text Representations as Meta Learning
    Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu
    http://arxiv.org/abs/2004.05568v1

    • [cs.CL]Pretrained Transformers Improve Out-of-Distribution Robustness
    Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song
    http://arxiv.org/abs/2004.06100v1

    • [cs.CL]ProFormer: Towards On-Device LSH Projection Based Transformers
    Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva
    http://arxiv.org/abs/2004.05801v1

    • [cs.CL]Public Self-consciousness for Endowing Dialogue Agents with Consistent Persona
    Hyunwoo Kim, Byeongchang Kim, Gunhee Kim
    http://arxiv.org/abs/2004.05816v1

    • [cs.CL]Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
    Łukasz Augustyniak, Piotr Szymanski, Mikołaj Morzy, Piotr Zelasko, Adrian Szymczak, Jan Mizgajski, Yishay Carmiel, Najim Dehak
    http://arxiv.org/abs/2004.05985v1

    • [cs.CL]Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
    Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
    http://arxiv.org/abs/2004.05757v1

    • [cs.CL]TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER
    Subhabrata Mukherjee, Ahmed Awadallah
    http://arxiv.org/abs/2004.05686v1

    • [cs.CL]Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
    Yu Chen, Lingfei Wu, Mohammed J. Zaki
    http://arxiv.org/abs/2004.06015v1

    • [cs.CL]Unified Multi-Criteria Chinese Word Segmentation with BERT
    Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2004.05808v1

    • [cs.CL]Unsupervised Commonsense Question Answering with Self-Talk
    Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
    http://arxiv.org/abs/2004.05483v1

    • [cs.CL]VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
    Zhibin Lu, Pan Du, Jian-Yun Nie
    http://arxiv.org/abs/2004.05707v1

    • [cs.CL]When Does Unsupervised Machine Translation Work?
    Kelly Marchisio, Kevin Duh, Philipp Koehn
    http://arxiv.org/abs/2004.05516v1

    • [cs.CL]You Impress Me: Dialogue Generation via Mutual Persona Perception
    Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang
    http://arxiv.org/abs/2004.05388v1

    • [cs.CR]Blockchain in the Internet of Things: Architectures and Implementation
    Oscar Delgado-Mohatar, Ruben Tolosana, Julian Fierrez, Aythami Morales
    http://arxiv.org/abs/2004.05817v1

    • [cs.CR]DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
    Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin
    http://arxiv.org/abs/2004.05523v1

    • [cs.CR]High-Accuracy Malware Classification with a Malware-Optimized Deep Learning Model
    Rikima Mitsuhashi, Takahiro Shinagawa
    http://arxiv.org/abs/2004.05258v1

    • [cs.CR]Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
    Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
    http://arxiv.org/abs/2004.05289v1

    • [cs.CR]PrivEdge: From Local to Distributed Private Training and Prediction
    Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi, Andrea Cavallaro
    http://arxiv.org/abs/2004.05574v1

    • [cs.CR]SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
    Ao Liu, Guangquan Xu, Dexiang Zhou, Xi Zheng, Jianting Ning, Rui Wang, Hao Wang, Hong-Ning Dai, Xiaojiang Du
    http://arxiv.org/abs/2004.05693v1

    • [cs.CR]Visual Spoofing in content based spam detection
    Mark Sokolov, Kehinde Olufowobi, Nic Herndon
    http://arxiv.org/abs/2004.05265v1

    • [cs.CV]A Novel Pose Proposal Network and Refinement Pipeline for Better Object Pose Estimation
    Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard, Ross Beveridge
    http://arxiv.org/abs/2004.05507v1

    • [cs.CV]A Survey of Single-Scene Video Anomaly Detection
    Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
    http://arxiv.org/abs/2004.05993v1

    • [cs.CV]A negative case analysis of visual grounding methods for VQA
    Robik Shrestha, Kushal Kafle, Christopher Kanan
    http://arxiv.org/abs/2004.05704v1

    • [cs.CV]Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
    Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang
    http://arxiv.org/abs/2004.06042v1

    • [cs.CV]Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion
    Ethan Weber, Hassan Kané
    http://arxiv.org/abs/2004.05525v1

    • [cs.CV]Compositional Visual Generation and Inference with Energy Based Models
    Yilun Du, Shuang Li, Igor Mordatch
    http://arxiv.org/abs/2004.06030v1

    • [cs.CV]Cross-domain Correspondence Learning for Exemplar-based Image Translation
    Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen
    http://arxiv.org/abs/2004.05571v1

    • [cs.CV]Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images
    Hongruixuan Chen, Chen Wu, Bo Du, Liangepei Zhang
    http://arxiv.org/abs/2004.05745v1

    • [cs.CV]Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
    Zhe Cui, Jianjiang Feng, Jie Zhou
    http://arxiv.org/abs/2004.05972v1

    • [cs.CV]Density Map Guided Object Detection in Aerial Images
    Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
    http://arxiv.org/abs/2004.05520v1

    • [cs.CV]Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
    Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen
    http://arxiv.org/abs/2004.06002v1

    • [cs.CV]Enabling Incremental Knowledge Transfer for Object Detection at the Edge
    Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma Vrudhula, Yezhou Yang
    http://arxiv.org/abs/2004.05746v1

    • [cs.CV]FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
    Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
    http://arxiv.org/abs/2004.05565v1

    • [cs.CV]FDA: Fourier Domain Adaptation for Semantic Segmentation
    Yanchao Yang, Stefano Soatto
    http://arxiv.org/abs/2004.05498v1

    • [cs.CV]Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations
    Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh
    http://arxiv.org/abs/2004.05554v1

    • [cs.CV]Image Co-skeletonization via Co-segmentation
    Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan
    http://arxiv.org/abs/2004.05575v1

    • [cs.CV]Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
    Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
    http://arxiv.org/abs/2004.05324v1

    • [cs.CV]Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization
    Minyoung Chung, Jusang Lee, Sanguk Park, Minkyung Lee, Chae Eun Lee, Jeongjin Lee, Yeong-Gil Shin
    http://arxiv.org/abs/2004.05543v1

    • [cs.CV]Inter-Region Affinity Distillation for Road Marking Segmentation
    Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, Chen Change Loy
    http://arxiv.org/abs/2004.05304v1

    • [cs.CV]Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
    Lin Wang, Kuk-Jin Yoon
    http://arxiv.org/abs/2004.05937v1

    • [cs.CV]Learning Event-Based Motion Deblurring
    Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy Ren, Jiancheng Lv, Yebin Liu
    http://arxiv.org/abs/2004.05794v1

    • [cs.CV]Learning Spatial Relationships between Samples of Image Shapes
    Juan Castorena, Manish Bhattarai, Diane Oyen
    http://arxiv.org/abs/2004.05713v1

    • [cs.CV]Learning to Manipulate Individual Objects in an Image
    Yanchao Yang, Yutong Chen, Stefano Soatto
    http://arxiv.org/abs/2004.05495v1

    • [cs.CV]Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
    Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
    http://arxiv.org/abs/2004.05685v1

    • [cs.CV]MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
    Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang
    http://arxiv.org/abs/2004.05679v1

    • [cs.CV]Monocular Depth Estimation with Self-supervised Instance Adaptation
    Robert McCraith, Lukas Neumann, Andrew Zisserman, Andrea Vedaldi
    http://arxiv.org/abs/2004.05821v1

    • [cs.CV]MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera
    Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu
    http://arxiv.org/abs/2004.05815v1

    • [cs.CV]Online Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry
    Weibo Huang, Hong Liu, Weiwei Wan
    http://arxiv.org/abs/2004.05534v1

    • [cs.CV]OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
    Zhun Zhong, Linchao Zhu, Zhiming Luo, Shaozi Li, Yi Yang, Nicu Sebe
    http://arxiv.org/abs/2004.05551v1

    • [cs.CV]PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
    Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille
    http://arxiv.org/abs/2004.05682v1

    • [cs.CV]Probabilistic Orientated Object Detection in Automotive Radar
    Xu Dong, Pengluo Wang, Pengyue Zhang, Langechuan Liu
    http://arxiv.org/abs/2004.05310v1

    • [cs.CV]Regularizing Meta-Learning via Gradient Dropout
    Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang
    http://arxiv.org/abs/2004.05859v1

    • [cs.CV]SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation
    Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu
    http://arxiv.org/abs/2004.05834v1

    • [cs.CV]SSP: Single Shot Future Trajectory Prediction
    Isht Dwivedi, Srikanth Malla, Behzad Dariush, Chiho Choi
    http://arxiv.org/abs/2004.05846v1

    • [cs.CV]Self-Supervised Tuning for Few-Shot Segmentation
    Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao
    http://arxiv.org/abs/2004.05538v1

    • [cs.CV]Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences
    Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian
    http://arxiv.org/abs/2004.05749v1

    • [cs.CV]Sharing Matters for Generalization in Deep Metric Learning
    Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
    http://arxiv.org/abs/2004.05582v1

    • [cs.CV]Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
    Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
    http://arxiv.org/abs/2004.05343v1

    • [cs.CV]Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset
    Shreya Ghosh, Abhinav Dhall, Garima Sharma, Sarthak Gupta, Nicu Sebe
    http://arxiv.org/abs/2004.05973v1

    • [cs.CV]Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
    Feng Xue, Guirong Zhuo, Ziyuan Huang, Wufei Fu, Zhuoyue Wu, Marcelo H. Ang Jr
    http://arxiv.org/abs/2004.05560v1

    • [cs.CV]Towards Transferable Adversarial Attack against Deep Face Recognition
    Yaoyao Zhong, Weihong Deng
    http://arxiv.org/abs/2004.05790v1

    • [cs.CV]UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
    Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
    http://arxiv.org/abs/2004.05763v1

    • [cs.CV]Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
    Xinhui Song, Tianyang Shi, Tianjia Shao, Yi Yuan, Zunlei Feng, Changjie Fan
    http://arxiv.org/abs/2004.05908v1

    • [cs.CV]Unsupervised Few-shot Learning via Distribution Shift-based Augmentation
    Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao
    http://arxiv.org/abs/2004.05805v1

    • [cs.CV]Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions
    Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun’ichi Satoh
    http://arxiv.org/abs/2004.05595v1

    • [cs.CV]YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos
    Shizhe Chen, Weiying Wang, Ludan Ruan, Linli Yao, Qin Jin
    http://arxiv.org/abs/2004.05573v1

    • [cs.CY]A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus
    Raj Kishore, Prashant Kumar Jha, Shreeja Das, Dheeresh Agarwal, Tanmay Maloo, Hansraj Pegu, Devadatta Sahoo, Ankita Singhal, Kisor K. Sahu
    http://arxiv.org/abs/2004.05684v1

    • [cs.CY]Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models
    Mustafa Sagir, Said Varlioglu
    http://arxiv.org/abs/2004.05285v1

    • [cs.CY]Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
    Mirco Nanni, Gennady Andrienko, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Janos Kertesz, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
    http://arxiv.org/abs/2004.05222v1

    • [cs.CY]Individual Fairness in Pipelines
    Cynthia Dwork, Christina Ilvento, Meena Jagadeesan
    http://arxiv.org/abs/2004.05167v1

    • [cs.CY]Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests
    Mahamadou Kante, Euloge François Kouame, Macire Kante
    http://arxiv.org/abs/2004.05509v1

    • [cs.DB]A1: A Distributed In-Memory Graph Database
    Chiranjeeb Buragohain, Knut Magne Risvik, Paul Brett, Miguel Castro, Wonhee Cho, Joshua Cowhig, Nikolas Gloy, Karthik Kalyanaraman, Richendra Khanna, John Pao, Matthew Renzelmann, Alex Shamis, Timothy Tan, Shuheng Zheng
    http://arxiv.org/abs/2004.05712v1

    • [cs.DB]Complaint-driven Training Data Debugging for Query 2.0
    Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang
    http://arxiv.org/abs/2004.05722v1

    • [cs.DC]A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs
    Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka
    http://arxiv.org/abs/2004.05371v1

    • [cs.DC]Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
    Orestis Zachariadis, Andrea Teatini, Nitin Satpute, Juan Gómez-Luna, Onur Mutlu, Ole Jakob Elle, Joaquín Olivares
    http://arxiv.org/abs/2004.05962v1

    • [cs.DC]Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
    Anirban Bhattacharjee, Ajay Dev Chhokra, Hongyang Sun, Shashank Shekhar, Aniruddha Gokhale, Gabor Karsai, Abhishek Dubey
    http://arxiv.org/abs/2004.05740v1

    • [cs.DC]Detecting Straggler MapReduce Tasks in Big Data Processing Infrastructure by Neural Network
    Amir Javadpour, Guojun Wang, Samira Rezaei, Kuan Ching Li
    http://arxiv.org/abs/2004.05868v1

    • [cs.DC]Exploring Erasure Coding Techniques for High Availability of Intermediate Data
    Zhe Zhang, Brian Bockelman, Derek Weitzel, David Swanson
    http://arxiv.org/abs/2004.05729v1

    • [cs.DC]Intelligent Orchestration of ADAS Pipelines on Next Generation Automotive Platforms
    Anirban Ghose, Srijeeta Maity, Arijit Kar, Kaustubh Maloo, Soumyajit Dey
    http://arxiv.org/abs/2004.05777v1

    • [cs.DC]QoS-Driven Job Scheduling: Multi-Tier Dependency Considerations
    Husam Suleiman, Otman Basir
    http://arxiv.org/abs/2004.05695v1

    • [cs.DC]Service Level Driven Job Scheduling i
    1000
    n Multi-Tier Cloud Computing: A Biologically Inspired Approach
    Husam Suleiman, Otman Basir
    http://arxiv.org/abs/2004.05696v1

    • [cs.DC]Smart Contracts on the Move
    Enrique Fynn, Alysson Bessani, Fernando Pedone
    http://arxiv.org/abs/2004.05933v1

    • [cs.DC]Trua: Efficient Task Replication for Flexible User-defined Availability in Scientific Grids
    Zhe Zhang, Brian Bockelman, Derek Weitzel, Xinkai Zhang, Hamid Vakilzadian, David Swanson
    http://arxiv.org/abs/2004.05723v1

    • [cs.DL]A Digital Ecosystem for Animal Movement Science: Making animal movement datasets, data-linkage techniques, methods, and environmental layers easier to find, interpret, and analyze
    Brendan Hoover, Gil Bohrer, Jerod Merkle, Jennifer A. Miller
    http://arxiv.org/abs/2004.05976v1

    • [cs.DL]Using Photo Modeling Based 3DGRSL to Promote the Sustainability of Geo-Education, a case study from China
    Xuejia Sang, Linfu Xue, Xiaopeng Leng, Xiaoshun Li, Jianping Zhou
    http://arxiv.org/abs/2004.05535v1

    • [cs.DS]Adversarially Robust Streaming Algorithms via Differential Privacy
    Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
    http://arxiv.org/abs/2004.05975v1

    • [cs.DS]Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences
    Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stephane Bressan
    http://arxiv.org/abs/2004.05429v1

    • [cs.DS]Learning Mixtures of Spherical Gaussians via Fourier Analysis
    Somnath Chakraborty, Hariharan Narayanan
    http://arxiv.org/abs/2004.05813v1

    • [cs.DS]Optimizing Reachability Sets in Temporal Graphs by Delaying
    Argyrios Deligkas, Igor Potapov
    http://arxiv.org/abs/2004.05875v1

    • [cs.IR]Large-scale Real-time Personalized Similar Product Recommendations
    Zhi Liu, Yan Huang, Jing Gao, Li Chen, Dong Li
    http://arxiv.org/abs/2004.05716v1

    • [cs.IT]Comparison Between the Joint and Successive Decoding Schemes for the Binary CEO Problem
    Mahdi Nangir, Jafar Pourrostam, Javad Musevi Niya, Behzad Mozaffari Tazehkand
    http://arxiv.org/abs/2004.05386v1

    • [cs.IT]Constellation Design for Media-based Modulation using Block Codes and Squaring Construction
    Bharath Shamasundar, A. Chockalingam
    http://arxiv.org/abs/2004.05792v1

    • [cs.IT]Cooperative relaying with energy harvesting relays : Asymptotic analysis using extreme value theory for non-identically distributed RVs
    Athira Subhash, Sheetal Kalyani
    http://arxiv.org/abs/2004.05300v1

    • [cs.IT]DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
    Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai
    http://arxiv.org/abs/2004.05340v1

    • [cs.IT]Information-Energy Capacity Region for SWIPT Systems with Power Amplifier Nonlinearity
    Ioannis Krikidis
    http://arxiv.org/abs/2004.05428v1

    • [cs.IT]Joint User Identification and Channel Estimation Over Rician Fading Channels
    Liang Wu, Zaichen Zhang, Jian Dang, Yongpeng Wu, Huaping Liu, Jiangzhou Wang
    http://arxiv.org/abs/2004.05772v1

    • [cs.IT]MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
    Xi Yang, Chao-Kai Wen, Shi Jin
    http://arxiv.org/abs/2004.06001v1

    • [cs.IT]Modeling and Mitigating Errors in Belief Propagation for Distributed Detection
    Younes Abdi, Tapani Ristaniemi
    http://arxiv.org/abs/2004.05220v1

    • [cs.IT]New Construction of Optimal Type-II Binary Z-Complementary Pairs
    Zhi Gu, Zhengchun Zhou, Qi Wang, Pingzhi Fan
    http://arxiv.org/abs/2004.05351v1

    • [cs.IT]On the Performance of Dual-Hop Systems over Mixed FSO/mmWave Fading Channels
    Yan Zhang, Jiayi Zhang, Liang Yang, Bo Ai, Mohamed-Slim Alouini
    http://arxiv.org/abs/2004.05540v1

    • [cs.IT]Optimal Reconstruction Codes for Deletion Channels
    Johan Chrisnata, Han Mao Kiah, Eitan Yaakobi
    http://arxiv.org/abs/2004.06032v1

    • [cs.IT]Quasi-Orthogonal Z-Complementary Pairs and Its Applications in Fully Polarimetric Radar Systems
    Jiahuan Wang, Pingzhi Fan, Zhengchun Zhou, Yang Yang
    http://arxiv.org/abs/2004.05348v1

    • [cs.IT]Selective Encoding Policies for Maximizing Information Freshness
    Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus
    http://arxiv.org/abs/2004.06091v1

    • [cs.IT]Successive Cancellation Inactivation Decoding for Modified Reed-Muller and eBCH Codes
    Mustafa Cemil Coşkun, Joachim Neu, Henry D. Pfister
    http://arxiv.org/abs/2004.05969v1

    • [cs.LG]A Non-Parametric Test to Detect Data-Copying in Generative Models
    Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta
    http://arxiv.org/abs/2004.05675v1

    • [cs.LG]A Survey on Impact of Transient Faults on BNN Inference Accelerators
    Navid Khoshavi, Connor Broyles, Yu Bi
    http://arxiv.org/abs/2004.05915v1

    • [cs.LG]A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods
    Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
    http://arxiv.org/abs/2004.05531v1

    • [cs.LG]Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
    Aliaksei Mikhailiuk, Clifford Wilmot, Maria Perez-Ortiz, Dingcheng Yue, Rafal Mantiuk
    http://arxiv.org/abs/2004.05691v1

    • [cs.LG]Adversarial Likelihood-Free Inference on Black-Box Generator
    Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon
    http://arxiv.org/abs/2004.05803v1

    • [cs.LG]Attribute-based Regularization of VAE Latent Spaces
    Ashis Pati, Alexander Lerch
    http://arxiv.org/abs/2004.05485v1

    • [cs.LG]Autoencoding Generative Adversarial Networks
    Conor Lazarou
    http://arxiv.org/abs/2004.05472v1

    • [cs.LG]Bayesian Surprise in Indoor Environments
    Sebastian Feld, Andreas Sedlmeier, Markus Friedrich, Jan Franz, Lenz Belzner
    http://arxiv.org/abs/2004.05381v1

    • [cs.LG]Bit-Parallel Vector Composability for Neural Acceleration
    Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh
    http://arxiv.org/abs/2004.05333v1

    • [cs.LG]COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
    Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N. Silla Jr., Yandre M. G. Costa
    http://arxiv.org/abs/2004.05835v1

    • [cs.LG]Controllable Variational Autoencoder
    Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek Abdelzaher
    http://arxiv.org/abs/2004.05988v1

    • [cs.LG]Convex Sets of Robust Recurrent Neural Networks
    Max Revay, Ruigang Wang, Ian R. Manchester
    http://arxiv.org/abs/2004.05290v1

    • [cs.LG]DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
    Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
    http://arxiv.org/abs/2004.05703v1

    • [cs.LG]Depthwise Discrete Representation Learning
    Iordanis Fostiropoulos
    http://arxiv.org/abs/2004.05462v1

    • [cs.LG]Discriminative Learning via Adaptive Questioning
    Achal Bassamboo, Vikas Deep, Sandeep Juneja, Assaf Zeevi
    http://arxiv.org/abs/2004.05442v1

    • [cs.LG]Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation
    Anjin Liu, Jie Lu, Guangquan Zhang
    http://arxiv.org/abs/2004.05810v1

    • [cs.LG]Exploit Where Optimizer Explores via Residuals
    An Xu, Zhouyuan Huo, Heng Huang
    http://arxiv.org/abs/2004.05298v1

    • [cs.LG]Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
    Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
    http://arxiv.org/abs/2004.05774v1

    • [cs.LG]Gradients as Features for Deep Representation Learning
    Fangzhou Mu, Yingyu Liang, Yin Li
    http://arxiv.org/abs/2004.05529v1

    • [cs.LG]Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems
    Ziqing Ma, Shuming Liu, Guancheng Guo, Xipeng Yu and
    http://arxiv.org/abs/2004.05828v1

    • [cs.LG]In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL
    Len Du
    http://arxiv.org/abs/2004.05366v1

    • [cs.LG]Ivy: Instrumental Variable Synthesis for Causal Inference
    Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
    http://arxiv.org/abs/2004.05316v1

    • [cs.LG]Learning from Rules Generalizing Labeled Exemplars
    Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi
    http://arxiv.org/abs/2004.06025v1

    • [cs.LG]Learning under Concept Drift: A Review
    Jie Lu, Anjin Liu, Fan Dong, Feng Gu, Joao Gama, Guangquan Zhang
    http://arxiv.org/abs/2004.05785v1

    • [cs.LG]MLPSVM:A new parallel support vector machine to multi-label learning
    Yanghong Liu, Jia Lu, Tingting Li
    http://arxiv.org/abs/2004.05849v1

    • [cs.LG]Meta-Learning in Neural Networks: A Survey
    Timothy Hospedales, Antreas Antoniou, Paul Micaelli, Amos Storkey
    http://arxiv.org/abs/2004.05439v1

    • [cs.LG]Minimizing FLOPs to Learn Efficient Sparse Representations
    Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
    http://arxiv.org/abs/2004.05665v1

    • [cs.LG]Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
    Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
    http://arxiv.org/abs/2004.05318v1

    • [cs.LG]On Error Correction Neural Networks for Economic Forecasting
    Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans Georg Zimmermann
    http://arxiv.org/abs/2004.05277v1

    • [cs.LG]On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
    Wei Huang, Weitao Du, Richard Yi Da Xu
    http://arxiv.org/abs/2004.05867v1

    • [cs.LG]On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0)
    Anthony Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
    http://arxiv.org/abs/2004.06069v1

    • [cs.LG]Optimal Learning for Sequential Decisions in Laboratory Experimentation
    Kris Reyes, Warren B Powell
    http://arxiv.org/abs/2004.05417v1

    • [cs.LG]Principal Neighbourhood Aggregation for Graph Nets
    Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković
    http://arxiv.org/abs/2004.05718v1

    • [cs.LG]Regret Bounds for Kernel-Based Reinforcement Learning
    Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
    http://arxiv.org/abs/2004.05599v1

    • [cs.LG]Reinforcement Learning via Reasoning from Demonstration
    Lisa Torrey
    http://arxiv.org/abs/2004.05512v1

    • [cs.LG]Rethinking Differentiable Search for Mixed-Precision Neural Networks
    Zhaowei Cai, Nuno Vasconcelos
    http://arxiv.org/abs/2004.05795v1

    • [cs.LG]Revisiting Loss Landscape for Adversarial Robustness
    Dongxian Wu, Yisen Wang, Shu-tao Xia
    http://arxiv.org/abs/2004.05884v1

    • [cs.LG]Robust Large-Margin Learning in Hyperbolic Space
    Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Menon, Sanjiv Kumar
    http://arxiv.org/abs/2004.05465v1

    • [cs.LG]STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
    Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma
    http://arxiv.org/abs/2004.05793v1

    • [cs.LG]Scenario optimization with relaxation: a new tool for design and application to machine learning problems
    Marco C. Campi, Simone Garatti
    http://arxiv.org/abs/2004.05839v1

    • [cs.LG]Technical Report: NEMO DNN Quantization for Deployment Model
    Francesco Conti
    http://arxiv.org/abs/2004.05930v1

    • [cs.LG]Thinking While Moving: Deep Reinforcement L
    7b61
    earning with Concurrent Control
    Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog
    http://arxiv.org/abs/2004.06089v1

    • [cs.LG]Topology of deep neural networks
    Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim
    http://arxiv.org/abs/2004.06093v1

    • [cs.LG]Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
    Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
    http://arxiv.org/abs/2004.05380v1

    • [cs.LG]Trajectory annotation using sequences of spatial perception
    Sebastian Feld, Steffen Illium, Andreas Sedlmeier, Lenz Belzner
    http://arxiv.org/abs/2004.05383v1

    • [cs.LG]Variational Autoencoders with Normalizing Flow Decoders
    Rogan Morrow, Wei-Chen Chiu
    http://arxiv.org/abs/2004.05617v1

    • [cs.LG]Verification of Deep Convolutional Neural Networks Using ImageStars
    Hoang-Dung Tran, Stanley Bak, Weiming Xiang, Taylor T. Johnson
    http://arxiv.org/abs/2004.05511v1

    • [cs.LG]k-decay: A New Method For Learning Rate Schedule
    Tao Zhang
    http://arxiv.org/abs/2004.05909v1

    • [cs.LO]Quantifying Notes Revisited
    Hans van Ditmarsch
    http://arxiv.org/abs/2004.05802v1

    • [cs.MM]Stacked Convolutional Deep Encoding Network for Video-Text Retrieval
    Rui Zhao, Kecheng Zheng, Zheng-jun Zha
    http://arxiv.org/abs/2004.04959v1

    • [cs.NE]Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network
    Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury
    http://arxiv.org/abs/2004.05450v1

    • [cs.NE]Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
    Lyes Khacef, Laurent Rodriguez, Benoit Miramond
    http://arxiv.org/abs/2004.05488v1

    • [cs.NE]Exponential Upper Bounds for the Runtime of Randomized Search Heuristics
    Benjamin Doerr
    http://arxiv.org/abs/2004.05733v1

    • [cs.NI]Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
    Marouane Hachimi, Georges Kaddoum, Ghyslain Gagnon, Poulmanogo Illy
    http://arxiv.org/abs/2004.06077v1

    • [cs.PF]GAPP: A Fast Profiler for Detecting Serialization Bottlenecks in Parallel Linux Applications
    Reena Nair, Tony Field
    http://arxiv.org/abs/2004.05628v1

    • [cs.RO]A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production
    Henry Phalen, Prasad Vagdargi, Mariah L. Schrum, Sumana Chakravarty, Amanda Canezin, Michael Pozin, Suat Coemert, Iulian Iordachita, Stephen L. Hoffman, Gregory S. Chirikjian, Russell H. Taylor
    http://arxiv.org/abs/2004.05702v1

    • [cs.RO]Distributed Multi-Target Tracking for Autonomous Vehicle Fleets
    Ola Shorinwa, Javier Yu, Trevor Halsted, Alex Koufos, Mac Schwager
    http://arxiv.org/abs/2004.05965v1

    • [cs.RO]FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging
    Bryson Lingenfelter, Arunava Nag, Floris van Breugel
    http://arxiv.org/abs/2004.05247v1

    • [cs.RO]Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference
    Christoforos Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
    http://arxiv.org/abs/2004.05205v1

    • [cs.RO]Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments
    Ziwei Liao, Wei Wang, Xianyu Qi, Xiaoyu Zhang, Lin Xue, Jianzhen Jiao, Ran Wei
    http://arxiv.org/abs/2004.05303v1

    • [cs.RO]Robot self/other distinction: active inference meets neural networks learning in a mirror
    Pablo Lanillos, Jordi Pages, Gordon Cheng
    http://arxiv.org/abs/2004.05473v1

    • [cs.RO]Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
    Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick
    http://arxiv.org/abs/2004.05273v1

    • [cs.RO]Shape Estimation for Elongated Deformable Object using B-spline Chained Multiple Random Matrices Model
    Gang Yao, Ryan Saltus, Ashwin Dani
    http://arxiv.org/abs/2004.05233v1

    • [cs.RO]Simulation-based Lidar Super-resolution for Ground Vehicles
    Tixiao Shan, Jinkun Wang, Fanfei Chen, Paul Szenher, Brendan Englot
    http://arxiv.org/abs/2004.05242v1

    • [cs.RO]Time-Informed Exploration For Robot Motion Planning
    Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras
    http://arxiv.org/abs/2004.05241v1

    • [cs.SE]Is 40 the new 60? How popular media portrays the employability of older software developers
    Sebastian Baltes, George Park, Alexander Serebrenik
    http://arxiv.org/abs/2004.05847v1

    • [cs.SE]WES: Agent-based User Interaction Simulation on Real Infrastructure
    John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
    http://arxiv.org/abs/2004.05363v1

    • [cs.SE]Workflow Automation for Cyber Physical System Development Processes
    Charles Hartsell, Nagabhushan Mahadevan, Harmon Nine, Ted Bapty, Abhishek Dubey, Gabor Karsai
    http://arxiv.org/abs/2004.05654v1

    • [cs.SI]Behavior variations and their implications for popularity promotions: From elites to mass in Weibo
    Bowen Shi, Ke Xu, Jichang Zhao
    http://arxiv.org/abs/2004.05591v1

    • [cs.SI]Community Structures in Information Networks for a Discrete Agent Population
    Peter Marbach
    http://arxiv.org/abs/2004.05708v1

    • [cs.SI]Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization
    Jianxiong Guo, Weili Wu
    http://arxiv.org/abs/2004.05549v1

    • [cs.SI]Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok
    Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich
    http://arxiv.org/abs/2004.05478v1

    • [cs.SI]Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews
    Viresh Gupta, Aayush Aggarwal, Tanmoy Chakraborty
    http://arxiv.org/abs/2004.05865v1

    • [cs.SI]Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion
    Bishal Santra, Prakhar Sharma, Sumegh Roychowdhury, Pawan Goyal
    http://arxiv.org/abs/2004.05553v1

    • [cs.SI]Norm violation in online communities — A study of Stack Overflow comments
    Jithin Cheriyan, Bastin Tony Roy Savarimuthu, Stephen Cranefield
    http://arxiv.org/abs/2004.05589v1

    • [cs.SI]Return to basics: Clustering of scientific literature using structural information
    Jinhyuk Yun, Sejung Ahn, June Young Lee
    http://arxiv.org/abs/2004.05904v1

    • [cs.SI]Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities
    Marco De Nadai, Yanyan Xu, Emmanuel Letouzé, Marta C. González, Bruno Lepri
    http://arxiv.org/abs/2004.05822v1

    • [cs.SI]Understanding the Socio-Economic Disruption in the United States during COVID-19’s Early Days
    Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
    http://arxiv.org/abs/2004.05451v1

    • [cs.SI]Vaccination strategies on dynamic networks with indirect transmission links and limited contact information
    Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog, Dean Paini
    http://arxiv.org/abs/2004.05725v1

    • [cs.SI]Who are Political Retweeters?, Demographic comparison of political retweeters with retweeters of non-political personalities
    Muhammad Umer Gurchani
    http://arxiv.org/abs/2004.05587v1

    • [cs.SI]mFLICA: An R package for Inferring Leadership of Coordination From Time Series
    Chainarong Amornbunchornvej
    http://arxiv.org/abs/2004.06092v1

    • [cs.SI]paper2repo: GitHub Repository Recommendation for Academic Papers
    Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek Abdelzaher
    http://arxiv.org/abs/2004.06059v1

    • [econ.EM]A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
    Hannes Wallimann, David Imhof, Martin Huber
    http://arxiv.org/abs/2004.05629v1

    • [eess.AS]Data augmentation using generative networks to identify dementia
    Bahman Mirheidari, Yilin Pan, Daniel Blackburn, Ronan O’Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen
    http://arxiv.org/abs/2004.05989v1

    • [eess.AS]From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
    Hyeong-Seok Choi, Changdae Park, Kyogu Lee
    http://arxiv.org/abs/2004.05830v1

    • [eess.AS]Improved Speech Representations with Multi-Target Autoregressive Predictive Coding
    Yu-An Chung, James Glass
    http://arxiv.org/abs/2004.05274v1

    • [eess.IV]A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images
    Lavanya Umapathy, Mahesh Bharath Keerthivasan, Jean-Phillipe Galons, Wyatt Unger, Diego Martin, Maria I Altbach, Ali Bilgin
    http://arxiv.org/abs/2004.05731v1

    • [eess.IV]Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
    Yujin Oh, Sangjoon Park, Jong Chul Ye
    http://arxiv.org/abs/2004.05758v1

    • [eess.IV]Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review
    Muhammad Ilyas, Hina Rehman, Amine Nait-ali
    http://arxiv.org/abs/2004.05436v1

    • [eess.IV]Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
    Han Lin Aung, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon
    http://arxiv.org/abs/2004.05471v1

    • [eess.IV]KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
    Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/2004.05319v1

    • [eess.IV]Multi-modal Datasets for Super-resolution
    Haoran Li, Weihong Quan, Meijun Yan, Jin zhang, Xiaoli Gong, Jin Zhou
    http://arxiv.org/abs/2004.05804v1

    • [eess.IV]Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
    Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu
    http://arxiv.org/abs/2004.05640v1

    • [eess.IV]Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
    Xiaocong Chen, Lina Yao, Yu Zhang
    http://arxiv.org/abs/2004.05645v1

    • [eess.IV]The Role of Stem Noise in Visual Perception and Image Quality Measurement
    Arash Ashtari
    http://arxiv.org/abs/2004.05422v1

    • [eess.IV]Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
    Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva, Gladston Moreira
    http://arxiv.org/abs/2004.05717v1

    • [eess.IV]Underwater Image Enhancement Based on Structure-Texture Reconstruction
    Sen Lin, Kaichen Chi
    http://arxiv.org/abs/2004.05430v1

    • [eess.IV]Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
    Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
    http://arxiv.org/abs/2004.05405v1

    • [eess.IV]When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
    Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne
    http://arxiv.org/abs/2004.05578v1

    • [eess.IV]Y-net: Biomedical Image Segmentation and Clustering
    Sharmin Pathan, Anant Tripathi
    http://arxiv.org/abs/2004.05698v1

    • [eess.SP]Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
    Alper T. Erdogan, Cengiz Pehlevan
    http://arxiv.org/abs/2004.05479v1

    • [eess.SP]Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks
    Jianyuan Yu, William W. Howard, Daniel Tait, R. Michael Buehrer
    http://arxiv.org/abs/2004.05671v1

    • [eess.SP]Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
    Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen
    http://arxiv.org/abs/2004.05843v1

    • [eess.SP]Gait Recovery System for Parkinson’s Disease using Machine Learning on Embedded Platforms
    Gokul H., Prithvi Suresh, Hari Vignesh B, Pravin Kumaar R, Vineeth Vijayaraghavan
    http://arxiv.org/abs/2004.05811v1

    • [eess.SP]Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
    Sricharan Vijayarangan, Balamurali Murugesan, Vignesh R, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
    http://arxiv.org/abs/2004.05399v1

    • [eess.SP]Minimal Filtering Algorithms for Convolutional Neural Networks
    Aleksandr Cariow, Galina Cariowa
    http://arxiv.org/abs/2004.05607v1

    • [eess.SP]RaSSteR: Random Sparse Step-Frequency Radar
    Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar
    http://arxiv.org/abs/2004.05720v1

    • [eess.SP]Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network
    Kun Wang, Jun He, Lei Zhang
    http://arxiv.org/abs/2004.05768v1

    • [eess.SY]Energy Shaping Control of a CyberOctopus Soft Arm
    Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
    http://arxiv.org/abs/2004.05747v1

    • [eess.SY]Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition
    Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
    http://arxiv.org/abs/2004.05741v1

    • [eess.SY]NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
    Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson
    http://arxiv.org/abs/2004.05519v1

    • [hep-th]Machine-Learning Dessins d’Enfants: Explorations via Modular and Seiberg-Witten Curves
    Yang-Hui He, Edward Hirst, Toby Peterken
    http://arxiv.org/abs/2004.05218v1

    • [math.CO]On the existence of $s$-extremal singly even self-dual codes
    Masaaki Harada
    http://arxiv.org/abs/2004.05330v1

    • [math.NA]Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing
    Yiming Xu, Akil Narayan, Hoang Tran, Clayton Webster
    http://arxiv.org/abs/2004.05873v1

    • [math.PR]Exact recovery and sharp thresholds of Stochastic Ising Block Model
    Min Ye
    http://arxiv.org/abs/2004.05944v1

    • [math.ST]Bayesian Shrinkage towards Sharp Minimaxity
    Qifan Song
    http://arxiv.org/abs/2004.05307v1

    • [math.ST]Convergence of de Finetti’s mixing measure in latent structure models for observed exchangeable sequences
    Yun Wei, XuanLong Nguyen
    http://arxiv.org/abs/2004.05542v1

    • [math.ST]Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data
    Martin Genzel, Christian Kipp
    http://arxiv.org/abs/2004.05361v1

    • [math.ST]Robust estimation with Lasso when outputs are adversarially contaminated
    Takeyuki Sasai, Hironori Fujisawa
    http://arxiv.org/abs/2004.05990v1

    • [math.ST]Statistical inference and Bayesian optimal life-testing plans under Type-II unified hybrid censoring scheme
    Tanmay Sen, Ritwik Bhattacharya, Biswabrata Pradhan, Yogesh Mani Tripathi
    http://arxiv.org/abs/2004.05308v1

    • [physics.comp-ph]On Strong Scaling and Open Source Tools for Analyzing Atom Probe Tomography Data
    Markus Kühbach, Priyanshu Bajaj, Murat Han Celik, Eric Aimo Jägle, Baptiste Gault
    http://arxiv.org/abs/2004.05188v1

    • [physics.soc-ph]Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
    Giovanni Bonaccorsi, Francesco Pierri, Matteo Cinelli, Francesco Porcelli, Alessandro Galeazzi, Andrea Flori, Ana Lucia Schmidt, Carlo Michele Valensise, Antonio Scala, Walter Quattrociocchi, Fabio Pammolli
    http://arxiv.org/abs/2004.05455v1

    • [q-bio.PE]Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic
    Hyokyoung G. Hong, Yi Li
    http://arxiv.org/abs/2004.05730v1

    • [q-bio.QM]Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
    Jirong Yi, Raghu Mudumbai, Weiyu Xu
    http://arxiv.org/abs/2004.05759v1

    • [q-fin.RM]A new multilayer network construction via Tensor learning
    Giuseppe Brandi, T. Di Matteo
    http://arxiv.org/abs/2004.05367v1

    • [q-fin.TR]A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
    Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
    http://arxiv.org/abs/2004.05940v1

    • [quant-ph]At the Interface of Algebra and Statistics
    Tai-Danae Bradley
    http://arxiv.org/abs/2004.05631v1

    • [quant-ph]K-spin Hamiltonian for quantum-resolvable Markov decision processes
    Eric B. Jones, Peter Graf, Eliot Kapit, Wesley Jones
    http://arxiv.org/abs/2004.06040v1

    • [stat.AP]Bayesian modelling for spatially misaligned health areal data: a multiple membership approach
    Marco Gramatica, Peter Congdon, Silvia Liverani
    http://arxiv.org/abs/2004.05334v1

    • [stat.AP]Modeling the Heterogeneity in COVID-19’s Reproductive Number and its Impact on Predictive Scenarios
    Claire Donnat, Susan Holmes
    http://arxiv.org/abs/2004.05272v1

    • [stat.AP]Multiple repairable systems under dependent competing risks with nonparametric Frailty
    Marco Pollo Almeida, Rafael Paixao, Pedro Ramos, Vera Tomazella, Francisco Louzada, Ricardo Ehlers
    http://arxiv.org/abs/2004.05217v1

    • [stat.AP]Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing
    Maryna Prus, Hans-Peter Piepho
    http://arxiv.org/abs/2004.05925v1

    • [stat.AP]Spatial Matrix Completion for Spatially-Misaligned and High-Dimensional Air Pollution Data
    Phuong T. Vu, Adam A. Szpiro, Noah Simon
    http://arxiv.org/abs/2004.05443v1

    • [stat.AP]The effect of stay-at-home orders on COVID-19 infections in the United States
    James H. Fowler, Seth J. Hill, Remy Levin, Nick Obradovich
    http://arxiv.org/abs/2004.06098v1

    • [stat.CO]Scaling Bayesian inference of mixed multinomial logit models to very large datasets
    Filipe Rodrigues
    http://arxiv.org/abs/2004.05426v1

    • [stat.ME]A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
    Wei Jin, Yang Ni, Leah H. Rubin, Amanda B. Spence, Yanxun Xu
    http://arxiv.org/abs/2004.05487v1

    • [stat.ME]Complex Discontinuity Designs Using Covariates
    Juan D. Diaz, Jose R. Zubizarreta
    http://arxiv.org/abs/2004.05641v1

    • [stat.ME]Covariance Estimation for Matrix-valued Data
    Yichi Zhang, Weining Shen, Dehan Kong
    http://arxiv.org/abs/2004.05281v1

    • [stat.ME]Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect
    Xin Gao, Li Li, Li Luo
    http://arxiv.org/abs/2004.06054v1

    • [stat.ME]Handling missing data in a neural network approach for the identification of charged particles in a multilayer detector
    S. Riggi, D. Riggi, F. Riggi
    http://arxiv.org/abs/2004.05374v1

    • [stat.ME]Multivariate Medial Concordance
    Helena Ferreira
    http://arxiv.org/abs/2004.05192v1

    • [stat.ME]Quantile regression on inactivity time
    Lauren C. Balmert, Ruosha Li, Limin Peng, Jong-Hyeon Jeong
    http://arxiv.org/abs/2004.06022v1

    • [stat.ME]Robust adaptive variable selection in ultra-high dimensional regression models based on the density power divergence loss
    Abhik Ghosh, Nirian Martin, Leandro Pardo
    http://arxiv.org/abs/2004.05470v1

    • [stat.ME]The GWR route map: a guide to the informed application of Geographically Weighted Regression
    Alexis Comber, Chris Brunsdon, Martin Charlton, Guanpeng Dong, Rich Harris, Binbin Lu, Yihe Lü, Daisuke Murakami, Tomoki Nakaya, Yunqiang Wang, Paul Harris
    http://arxiv.org/abs/2004.06070v1

    • [stat.ME]Vintage Factor Analysis with Varimax Performs Statistical Inference
    Karl Rohe, Muzhe Zeng
    http://arxiv.org/abs/2004.05387v1

    • [stat.ML]Adversarial robustness guarantees for random deep neural networks
    Giacomo De Palma, Bobak T. Kiani, Seth Lloyd
    http://arxiv.org/abs/2004.05923v1

    • [stat.ML]Anomaly Detection in Trajectory Data with Normalizing Flows
    Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. C. da Silva, José Antônio F. de Macedo, Wellington C. P. Silva
    http://arxiv.org/abs/2004.05958v1

    • [stat.ML]Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks
    Tengyuan Liang, Hai Tran-Bach
    http://arxiv.org/abs/2004.04767v1

    • [stat.ML]Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity
    Austin Talbot, David Dunson, Kafui Dzirasa, David Carlson
    http://arxiv.org/abs/2004.05209v1

    • [stat.ML]Uncertainty estimation for classification and risk prediction in medical settings
    Lotta Meijerink, Giovanni Cinà, Michele Tonutti
    http://arxiv.org/abs/2004.05824v1