astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.OS - 操作系统 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 math.NA - 数值分析 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 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

    • [astro-ph.IM]Classifying CMB time-ordered data through deep neural networks
    • [cs.AI]Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
    • [cs.AI]Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
    • [cs.AI]dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems
    • [cs.CG]Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal
    • [cs.CL]A Divide-and-Conquer Approach to the Summarization of Academic Articles
    • [cs.CL]AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
    • [cs.CL]CLUE: A Chinese Language Understanding Evaluation Benchmark
    • [cs.CL]Cascade Neural Ensemble for Identifying Scientifically Sound Articles
    • [cs.CL]Code Completion using Neural Attention and Byte Pair Encoding
    • [cs.CL]Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
    • [cs.CL]Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
    • [cs.CL]Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
    • [cs.CL]Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts
    • [cs.CL]Multi-source Attention for Unsupervised Domain Adaptation
    • [cs.CL]Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
    • [cs.CL]PoKi: A Large Dataset of Poems by Children
    • [cs.CL]Quantifying Community Characteristics of Maternal Mortality Using Social Media
    • [cs.CL]Query-Variant Advertisement Text Generation with Association Knowledge
    • [cs.CL]Reverse Engineering Configurations of Neural Text Generation Models
    • [cs.CL]Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
    • [cs.CL]Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
    • [cs.CL]What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models
    • [cs.CL]When Does Unsupervised Machine Translation Work?
    • [cs.CR]Distributed Privacy Preserving Iterative Summation Protocols
    • [cs.CR]Experiences and Lessons Learned Creating and Validating Concept Inventories for Cybersecurity
    • [cs.CR]Scalable Security in Interference Channels With Arbitrary Number of Users
    • [cs.CR]Secure Federated Learning in 5G Mobile Networks
    • [cs.CR]Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity
    • [cs.CV]A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
    • [cs.CV]A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation
    • [cs.CV]A2D2: Audi Autonomous Driving Dataset
    • [cs.CV]An Attention-Based System for Damage Assessment Using Satellite Imagery
    • [cs.CV]An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
    • [cs.CV]Bidirectional Graph Reasoning Network for Panoptic Segmentation
    • [cs.CV]Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics
    • [cs.CV]Contrastive Examples for Addressing the Tyranny of the Majority
    • [cs.CV]Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
    • [cs.CV]Deformable Siamese Attention Networks for Visual Object Tracking
    • [cs.CV]DialGraph: Sparse Graph Learning Networks for Visual Dialog
    • [cs.CV]Distilling Localization for Self-Supervised Representation Learning
    • [cs.CV]Divergence-Based Adaptive Extreme Video Completion
    • [cs.CV]Embedded Large-Scale Handwritten Chinese Character Recognition
    • [cs.CV]End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras
    • [cs.CV]Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
    • [cs.CV]Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
    • [cs.CV]Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
    • [cs.CV]FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
    • [cs.CV]Footprints and Free Space from a Single Color Image
    • [cs.CV]InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
    • [cs.CV]Kinship Identification through Joint Learning Using Kinship Verification Ensemble
    • [cs.CV]Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
    • [cs.CV]RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
    • [cs.CV]Relation Transformer Network
    • [cs.CV]Self6D: Self-Supervised Monocular 6D Object Pose Estimation
    • [cs.CV]Simple Multi-Resolution Representation Learning for Human Pose Estimation
    • [cs.CV]Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding
    • [cs.CV]SpeedNet: Learning the Speediness in Videos
    • [cs.CV]The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
    • [cs.CV]Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
    • [cs.CV]Unsupervised Performance Analysis of 3D Face Alignment
    • [cs.CV]VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
    • [cs.CV]WQT and DG-YOLO: towards domain generalization in underwater object detection
    • [cs.CV]Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships
    • [cs.CY]Hi Sigma, do I have the Coronavirus?: Call for a New A
    b80
    rtificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic
    • [cs.DB]Near-Optimal Distributed Band-Joins through Recursive Partitioning
    • [cs.DC]A Hierarchical Model for Fast Distributed Consensus in Dynamic Networks
    • [cs.DC]C++ Modules in ROOT and Beyond
    • [cs.DC]Smart Contracts on the Move
    • [cs.DC]White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
    • [cs.DL]Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification
    • [cs.DL]Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data
    • [cs.DL]Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19
    • [cs.DS]Round-Efficient Distributed Byzantine Computation
    • [cs.HC]Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016
    • [cs.IR]A Robust Reputation-based Group Ranking System and its Resistance to Bribery
    • [cs.IR]A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
    • [cs.IR]Personalized Re-ranking for Improving Diversity in Live Recommender Systems
    • [cs.IR]Tag Embedding Based Personalized Point Of Interest Recommendation System
    • [cs.IT]Bounds on the Secrecy Outage Probability for Dependent Fading Channels
    • [cs.IT]Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems
    • [cs.LG]A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions
    • [cs.LG]Budget Learning via Bracketing
    • [cs.LG]Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
    • [cs.LG]Distributed Learning: Sequential Decision Making in Resource-Constrained Environments
    • [cs.LG]Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
    • [cs.LG]Exploring Cell counting with Neural Arithmetic Logic Units
    • [cs.LG]Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
    • [cs.LG]Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation
    • [cs.LG]Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards
    • [cs.LG]Improving Movement Predictions of Traffic Actors in Bird’s-Eye View Models using GANs and Differentiable Trajectory Rasterization
    • [cs.LG]Knowledge Elicitation using Deep Metric Learning and Psychometric Testing
    • [cs.LG]Local Model Feature Transformations
    • [cs.LG]Multilevel Minimization for Deep Residual Networks
    • [cs.LG]Optimal Learning for Sequential Decisions in Laboratory Experimentation
    • [cs.LG]Oversampling for Imbalanced Time Series Data
    • [cs.LG]PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
    • [cs.LG]Power-Constrained Bandits
    • [cs.LG]Sequential Batch Learning in Finite-Action Linear Contextual Bandits
    • [cs.LG]Stochastic batch size for adaptive regularization in deep network optimization
    • [cs.LG]Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
    • [cs.LG]Towards Robust Classification with Image Quality Assessment
    • [cs.LG]Weight Poisoning Attacks on Pre-trained Models
    • [cs.NE]A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling
    • [cs.NE]Fast Mutation in Crossover-based Algorithms
    • [cs.NE]The $(1 + (λ, λ))$ GA Is Even Faster on Multimodal Problems
    • [cs.NE]Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
    • [cs.NI]Joint user and power scheduling in downlink NOMA over fading channels
    • [cs.NI]Managing Industrial Communication Delays with Software-Defined Networking
    • [cs.NI]Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks
    • [cs.OS]A Linux Kernel Scheduler Extension for Multi-core Systems
    • [cs.PF]Robustness Comparison of Scheduling Algorithms in MapReduce Framework
    • [cs.RO]Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
    • [cs.RO]FAST-Hex — A Morphing Hexarotor: Design, Mechanical Implementation, Control and Experimental Validation
    • [cs.RO]Multi-Resolution A*
    • [cs.SE]Understanding What Software Engineers Are Working on — The Work-Item Prediction Challenge
    • [cs.SI]Author Name Disambiguation in Bibliographic Databases: A Survey
    • [cs.SI]Deep Learning Models for Multilingual Hate Speech Detection
    • [cs.SI]Efficient Approximation Algorithms for Adaptive Influence Maximization
    • [cs.SI]Evolution Features and Behavior Characters of Friendship Networks on Campus Life
    • [cs.SI]Gender Detection on Social Networks using Ensemble Deep Learning
    • [cs.SI]Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence
    • [cs.SI]Reports of Own and Others’ Symptoms and Diagnosis on Social Media Predict COVID-19 Case Counts in Mainland China
    • [cs.SI]Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19
    • [econ.EM]Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem
    • [eess.AS]Transformer based Grapheme-to-Phoneme Conversion
    • [eess.IV]An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
    • [eess.IV]Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network
    • [eess.IV]Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
    • [eess.IV]End-to-End Variational Networks for Accelerated MRI Reconstruction
    • [eess.IV]Learning a low dimensional manifold of real cancer tissue with PathologyGAN
    • [eess.IV]MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
    • [eess.IV]On the interplay between physical and content priors in deep learning for computational imaging
    • [eess.IV]SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
    • [eess.IV]StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
    • [eess.IV]Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray
    • [eess.IV]Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
    • [eess.SP]Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines
    • [eess.SP]Long-term scheduling and power control for wirelessly powered cell-free IoT
    • [eess.SP]On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems
    • [eess.SP]Quantization Analysis and Robust Design for Distributed Graph Filters
    • [eess.SP]Robust Modelling of Reflectance Pulse Oximetry for SpO$_2$ Estimation
    • [eess.SP]Wireless Information and Power Transfer for IoT Applications in Overlay Cognitive Radio Networks
    • [math.NA]Efficient Least Residual Greedy Algorithms for Sparse Recovery
    • [math.NA]PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
    • [math.ST]Edgeworth expansions for network moments
    • [math.ST]Universal Approximation on the Hypersphere
    • [physics.ao-ph]Statistical Postprocessing for Weather Forecasts — Review, Challenges and Avenues in a Big Data World
    • [physics.comp-ph]Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks
    • [physics.med-ph]A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
    • [q-bio.PE]A Malaria Control Model Using Mobility Data: An Early Explanation of Kedougou’s Case in Senegal
    • [q-bio.PE]Analysis proposals for test-negative design and matched case-control studies during widespread testing of symptomatic persons for SARS-Cov-2
    • [q-fin.ST]Latent Bayesian Inference for Robust Earnings Estimates
    • [stat.AP]Affiliation network model of HIV transmission in MSM
    • [stat.AP]Average Treatment Effect Estimation in Observational Studies with Functional Covariates
    • [stat.AP]Occupant Plugload Management for Demand Response in Commercial Buildings: Field Experimentation and Statistical Characterization
    • [stat.AP]The effect of stay-at-home orders on COVID-19 infections in the United States
    • [stat.CO]Computing Bayes: Bayesian Computation from 1763 to the 21st Century
    • [stat.CO]Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
    • [stat.ME]A logic-based resampling with matching approach to multiple imputation of missing data
    • [stat.ME]Assessing the Performance of the Discrete Generalised Pareto Distribution in Modelling Non-Life Insurance Claims
    • [stat.ME]Estimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
    • [stat.ME]Group Testing for COVID-19: How to Stop Worrying and Test More
    • [stat.ME]Maximum likelihood estimation in the additive hazards model
    • [stat.ME]Measurement Error in Nutritional Epidemiology: A Survey
    • [stat.ME]Measures of Selection Bias in Regression Coefficients Estimated from Non-Probability Samples
    • [stat.ME]Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys
    • [stat.ME]Robust Generalised Quadratic Discriminant Analysis
    • [stat.ME]The GWR route map: a guide to the informed application of Geographically Weighted Regression
    • [stat.ME]The R Package stagedtrees for Structural Learning of Stratified Staged Trees
    • [stat.ML]Estimation of Classification Rules from Partially Classified Data
    • [stat.ML]Learning from Aggregate Observations
    • [stat.ML]Particle-based Energetic Variational Inference
    • [stat.ML]Stochastic modeling of non-linear adsorption with Gaussian kernel density estimators
    • [stat.ML]The covariance matrix of Green’s functions and its application to machine learning

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

    • [astro-ph.IM]Classifying CMB time-ordered data through deep neural networks
    Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara
    http://arxiv.org/abs/2004.06226v1

    • [cs.AI]Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
    Nibraas Khan, Joshua Phillips
    http://arxiv.org/abs/2004.06213v1

    • [cs.AI]Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
    Federico Bianchi, Valerio Di Carlo, Paolo Nicoli, Matteo Palmonari
    http://arxiv.org/abs/2004.06519v1

    • [cs.AI]dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems
    Eneko Osaba, Aritz D. Martinez, Akemi Galvez, Andres Iglesias, Javier Del Ser
    http://arxiv.org/abs/2004.06559v1

    • [cs.CG]Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal
    Lingxiao Huang, Nisheeth K. Vishnoi
    http://arxiv.org/abs/2004.06263v1

    • [cs.CL]A Divide-and-Conquer Approach to the Summarization of Academic Articles
    Alexios Gidiotis, Grigorios Tsoumakas
    http://arxiv.org/abs/2004.06190v1

    • [cs.CL]AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
    Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
    http://arxiv.org/abs/2004.06176v1

    • [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/2004.05986v2

    • [cs.CL]Cascade Neural Ensemble for Identifying Scientifically Sound Articles
    Ashwin Karthik Ambalavanan, Murthy Devarakonda
    http://arxiv.org/abs/2004.06222v1

    • [cs.CL]Code Completion using Neural Attention and Byte Pair Encoding
    Youri Arkesteijn, Nikhil Saldanha, Bastijn Kostense
    http://arxiv.org/abs/2004.06343v1

    • [cs.CL]Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
    Hao Fei, Meishan Zhang, Donghong Ji
    http://arxiv.org/abs/2004.06295v1

    • [cs.CL]Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
    Shengbin Jia, Ling Ding, Xiaojun Chen, Yang Xiang
    http://arxiv.org/abs/2004.06384v1

    • [cs.CL]Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
    Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu Sun
    http://arxiv.org/abs/2004.06427v1

    • [cs.CL]Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts
    Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig Ganoe, Saeed Hassanpour
    http://arxiv.org/abs/2004.06555v1

    • [cs.CL]Multi-source Attention for Unsupervised Domain Adaptation
    Xia Cui, Danushka Bollegala
    http://arxiv.org/abs/2004.06608v1

    • [cs.CL]Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
    Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
    http://arxiv.org/abs/2004.06575v1

    • [cs.CL]PoKi: A Large Dataset of Poems by Children
    Will E. Hipson, Saif M. Mohammad
    http://arxiv.org/abs/2004.06188v1

    • [cs.CL]Quantifying Community Characteristics of Maternal Mortality Using Social Media
    Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz
    http://arxiv.org/abs/2004.06303v1

    • [cs.CL]Query-Variant Advertisement Text Generation with Association Knowledge
    Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun
    http://arxiv.org/abs/2004.06438v1

    • [cs.CL]Reverse Engineering Configurations of Neural Text Generation Models
    Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
    http://arxiv.org/abs/2004.06201v1

    • [cs.CL]Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
    Hong Guan, Jianfu Li, Hua Xu, Murthy Devarakonda
    http://arxiv.org/abs/2004.06216v1

    • [cs.CL]Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
    Matthias Sperber, Matthias Paulik
    http://arxiv.org/abs/2004.06358v1

    • [cs.CL]What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models
    Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim
    http://arxiv.org/abs/2004.06499v1

    • [cs.CL]When Does Unsupervised Machine Translation Work?
    Kelly Marchisio, Kevin Duh, Philipp Koehn
    http://arxiv.org/abs/2004.05516v2

    • [cs.CR]Distributed Privacy Preserving Iterative Summation Protocols
    Yang Liu, Qingchen Liu, Xiong Zhang, Shuqi Qin, Xiaoping Lei
    http://arxiv.org/abs/2004.06348v1

    • [cs.CR]Experiences and Lessons Learned Creating and Validating Concept Inventories for Cybersecurity
    Alan T. Sherman, Geoffrey L. Herman, Linda Oliva, Peter A. H. Peterson, Enis Golaszewski, Seth Poulsen, Travis Scheponik, Akshita Gorti
    http://arxiv.org/abs/2004.05248v1

    • [cs.CR]Scalable Security in Interference Channels With Arbitrary Number of Users
    Parisa Babaheidarian, Somayeh Salimi, Panos Papadimitratos
    http://arxiv.org/abs/2004.06588v1

    • [cs.CR]Secure Federated Learning in 5G Mobile Networks
    Martin Isaksson, Karl Norrman
    http://arxiv.org/abs/2004.06700v1

    • [cs.CR]Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity
    Lam D. Nguyen, Anders E. Kalør, Israel Leyva-Mayorga, Petar Popovski
    http://arxiv.org/abs/2004.06299v1

    • [cs.CV]A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
    Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
    http://arxiv.org/abs/2004.06375v1

    • [cs.CV]A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation
    Ioanna Ntinou, Enrique Sanchez, Adrian Bulat, Michel Valstar, Georgios Tzimiropoulos
    http://arxiv.org/abs/2004.06657v1

    • [cs.CV]A2D2: Audi Autonomous Driving Dataset
    Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, Peter Schuberth
    http://arxiv.org/abs/2004.06320v1

    • [cs.CV]An Attention-Based System for Damage Assessment Using Satellite Imagery
    Hanxiang Hao, Sriram Baireddy, Emily R. Bartusiak, Latisha Konz, Kevin LaTourette, Michael Gribbons, Moses Chan, Mary L. Comer, Edward J. Delp
    http://arxiv.org/abs/2004.06643v1

    • [cs.CV]An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
    Enkhtogtokh Togootogtokh, Christian Micheloni, Gian Luca Foresti, Niki Martinel
    http://arxiv.org/abs/2004.06154v1

    • [cs.CV]Bidirectional Graph Reasoning Network for Panoptic Segmentation
    Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin
    http://arxiv.org/abs/2004.06272v1

    • [cs.CV]Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics
    Neha Bhargava, Fabio Cuzzolin
    http://arxiv.org/abs/2004.06180v1

    • [cs.CV]Contrastive Examples for Addressing the Tyranny of the Majority
    Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto
    http://arxiv.org/abs/2004.06524v1

    • [cs.CV]Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
    Arnaud Dapogny, Kévin Bailly, Matthieu Cord
    http://arxiv.org/abs/2004.06558v1

    • [cs.CV]Deformable Siamese Attention Networks for Visual Object Tracking
    Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott
    http://arxiv.org/abs/2004.06711v1

    • [cs.CV]DialGraph: Sparse Graph Learning Networks for Visual Dialog
    Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim
    http://arxiv.org/abs/2004.06698v1

    • [cs.CV]Distilling Localization for Self-Supervised Representation Learning
    Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
    http://arxiv.org/abs/2004.06638v1

    • [cs.CV]Divergence-Based Adaptive Extreme Video Completion
    Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk
    http://arxiv.org/abs/2004.06409v1

    • [cs.CV]Embedded Large-Scale Handwritten Chinese Character Recognition
    Youssouf Chherawala, Hans J. G. A. Dolfing, Ryan S. Dixon, Jerome R. Bellegarda
    http://arxiv.org/abs/2004.06209v1

    • [cs.CV]End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras
    Hanyue Tu, Chunyu Wang, Wenjun Zeng
    http://arxiv.org/abs/2004.06239v1

    • [cs.CV]Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
    Kanav Vats, Mehrnaz Fani, Pascale Walters, David A. Clausi, John Zelek
    http://arxiv.org/abs/2004.06172v1

    • [cs.CV]Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
    Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
    http://arxiv.org/abs/2004.06370v1

    • [cs.CV]Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
    Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky
    http://arxiv.org/abs/2004.06302v1

    • [cs.CV]FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
    Dian Shao, Yue Zhao, Bo Dai, Dahua Lin
    http://arxiv.org/abs/2004.06704v1

    • [cs.CV]Footprints and Free Space from a Single Color Image
    Jamie Watson, Michael Firman, Aron Monszpart, Gabriel J. Brostow
    http://arxiv.org/abs/2004.06376v1

    • [cs.CV]InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
    Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fierrez
    http://arxiv.org/abs/2004.06592v1

    • [cs.CV]Kinship Identification through Joint Learning Using Kinship Verification Ensemble
    Wei Wang, Shaodi You, Sezer Karaoglu, Theo Gevers
    http://arxiv.org/abs/2004.06382v1

    • [cs.CV]Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
    Xiujun Li, Xi Yin, Chunyuan Li, Xiaowei Hu, Pengchuan Zhang, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
    http://arxiv.org/abs/2004.06165v1

    • [cs.CV]RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
    Mertalp Ocal, Armin Mustafa
    http://arxiv.org/abs/2004.06267v1

    • [cs.CV]Relation Transformer Network
    Rajat Koner, Poulami Sinhamahapatra, Volker Tresp
    http://arxiv.org/abs/2004.06193v1

    • [cs.CV]Self6D: Self-Supervised Monocular 6D Object Pose Estimation
    Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2004.06468v1

    • [cs.CV]Simple Multi-Resolution Representation Learning for Human Pose Estimation
    Trung Q. Tran, Giang V. Nguyen, Daeyoung Kim
    http://arxiv.org/abs/2004.06366v1

    • [cs.CV]Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding
    Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim
    http://arxiv.org/abs/2004.06297v1

    • [cs.CV]SpeedNet: Learning the Speediness in Videos
    Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
    http://arxiv.org/abs/2004.06130v1

    • [cs.CV]The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
    Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa
    http://arxiv.org/abs/2004.06271v1

    • [cs.CV]Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
    Kangning Liu, Shuhang Gu, Andres Romero, Radu Timofte
    http://arxiv.org/abs/2004.06502v1

    • [cs.CV]Unsupervised Performance Analysis of 3D Face Alignment
    Mostafa Sadeghi, Sylvain Guy, Adrien Raison, Xavier Alameda-Pineda, Radu Horaud
    http://arxiv.org/abs/2004.06550v1

    • [cs.CV]VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
    Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang, Tao Mei
    http://arxiv.org/abs/2004.06305v1

    • [cs.CV]WQT and DG-YOLO: towards domain generalization in underwater object detection
    Hong Liu, Pinhao Song, Runwei Ding
    http://arxiv.org/abs/2004.06333v1

    • [cs.CV]Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships
    André Peter Kelm, Udo Zölzer
    http://arxiv.org/abs/2004.06587v1

    • [cs.CY]Hi Sigma, do I have the Coronavirus?: Call for a New A
    b80
    rtificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic
    Brian Subirana, Ferran Hueto, Prithvi Rajasekaran, Jordi Laguarta, Susana Puig, Josep Malvehy, Oriol Mitja, Antoni Trilla, Carlos Iván Moreno, José Francisco Muñoz Valle, Ana Esther Mercado González, Barbara Vizmanos, Sanjay Sarma
    http://arxiv.org/abs/2004.06510v1

    • [cs.DB]Near-Optimal Distributed Band-Joins through Recursive Partitioning
    Rundong Li, Wolfgang Gatterbauer, Mirek Riedewald
    http://arxiv.org/abs/2004.06101v1

    • [cs.DC]A Hierarchical Model for Fast Distributed Consensus in Dynamic Networks
    Timothy Castiglia, Colin Goldberg, Stacy Patterson
    http://arxiv.org/abs/2004.06215v1

    • [cs.DC]C++ Modules in ROOT and Beyond
    Vassil Vassilev, David Lange, Malik Shahzad Muzzafar, Mircho Rodozov, Oksana Shadura, Alexander Penev
    http://arxiv.org/abs/2004.06507v1

    • [cs.DC]Smart Contracts on the Move
    Enrique Fynn, Alysson Bessani, Fernando Pedone
    http://arxiv.org/abs/2004.05933v2

    • [cs.DC]White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
    Roman Iakymchuk, Daichi Mukunoki, Artur Podobas, Fabienne Jézéquel, Toshiyuki Imamura, Norihisa Fujita, Jens Huthmann, Shuhei Kudo, Yiyu Tan, Jens Domke, Kai Torben Ohlhus, Takeshi Fukaya, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku
    http://arxiv.org/abs/2004.04628v2

    • [cs.DL]Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification
    Ming Jiang, Jennifer D’Souza, Sören Auer, J. Stephen Downie
    http://arxiv.org/abs/2004.06153v1

    • [cs.DL]Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data
    Andrea Miranda González, Samin Aref, Tom Theile, Emilio Zagheni
    http://arxiv.org/abs/2004.06539v1

    • [cs.DL]Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19
    Erik Boetto, Maria Pia Fantini, Aldo Gangemi, Davide Golinelli, Manfredi Greco, Andrea Giovanni Nuzzolese, Valentina Presutti, Flavia Rallo
    http://arxiv.org/abs/2004.06179v1

    • [cs.DS]Round-Efficient Distributed Byzantine Computation
    Yael Hitron, Merav Parter
    http://arxiv.org/abs/2004.06436v1

    • [cs.HC]Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016
    Dongrui Wu, Yifan Xu, Baoliang Lu
    http://arxiv.org/abs/2004.06286v1

    • [cs.IR]A Robust Reputation-based Group Ranking System and its Resistance to Bribery
    Joao Saude, Guilherme Ramos, Ludovico Boratto
    http://arxiv.org/abs/2004.06223v1

    • [cs.IR]A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
    Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li
    http://arxiv.org/abs/2004.06651v1

    • [cs.IR]Personalized Re-ranking for Improving Diversity in Live Recommender Systems
    Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He
    http://arxiv.org/abs/2004.06390v1

    • [cs.IR]Tag Embedding Based Personalized Point Of Interest Recommendation System
    Suraj Agrawal, Dwaipayan Roy, Mandar Mitra
    http://arxiv.org/abs/2004.06389v1

    • [cs.IT]Bounds on the Secrecy Outage Probability for Dependent Fading Channels
    Karl-Ludwig Besser, Eduard A. Jorswieck
    http://arxiv.org/abs/2004.06644v1

    • [cs.IT]Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems
    Fayçal Ait Aoudia, Jakob Hoydis
    http://arxiv.org/abs/2004.05062v2

    • [cs.LG]A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions
    Peter Vamplew, Cameron Foale, Richard Dazeley
    http://arxiv.org/abs/2004.06277v1

    • [cs.LG]Budget Learning via Bracketing
    Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
    http://arxiv.org/abs/2004.06298v1

    • [cs.LG]Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification
    Zahraa S. Abdallah, Mohamed Medhat Gaber
    http://arxiv.org/abs/2004.06668v1

    • [cs.LG]Distributed Learning: Sequential Decision Making in Resource-Constrained Environments
    Udari Madhushani, Naomi Ehrich Leonard
    http://arxiv.org/abs/2004.06171v1

    • [cs.LG]Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
    Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
    http://arxiv.org/abs/2004.06231v1

    • [cs.LG]Exploring Cell counting with Neural Arithmetic Logic Units
    Ashish Rana, Taranveer Singh, Harpreet Singh, Neeraj Kumar, Prashant Singh Rana
    http://arxiv.org/abs/2004.06674v1

    • [cs.LG]Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
    Jon Vadillo, Roberto Santana, Jose A. Lozano
    http://arxiv.org/abs/2004.06383v1

    • [cs.LG]Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation
    Shizhu Liu, Shanglin Yang, Hui Zhou
    http://arxiv.org/abs/2004.06229v1

    • [cs.LG]Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards
    Aadirupa Saha, Pierre Gaillard, Michael Valko
    http://arxiv.org/abs/2004.06248v1

    • [cs.LG]Improving Movement Predictions of Traffic Actors in Bird’s-Eye View Models using GANs and Differentiable Trajectory Rasterization
    Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric
    http://arxiv.org/abs/2004.06247v1

    • [cs.LG]Knowledge Elicitation using Deep Metric Learning and Psychometric Testing
    Lu Yin, Vlado Menkovski, Mykola Pechenizkiy
    http://arxiv.org/abs/2004.06353v1

    • [cs.LG]Local Model Feature Transformations
    CScott Brown
    http://arxiv.org/abs/2004.06149v1

    • [cs.LG]Multilevel Minimization for Deep Residual Networks
    Lisa Gaedke-Merzhäuser, Alena Kopaničáková, Rolf Krause
    http://arxiv.org/abs/2004.06196v1

    • [cs.LG]Optimal Learning for Sequential Decisions in Laboratory Experimentation
    Kristopher Reyes, Warren B Powell
    http://arxiv.org/abs/2004.05417v2

    • [cs.LG]Oversampling for Imbalanced Time Series Data
    Tuanfei Zhu, Yaping Lin, Yonghe Liu
    http://arxiv.org/abs/2004.06373v1

    • [cs.LG]PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
    Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay
    http://arxiv.org/abs/2004.06243v1

    • [cs.LG]Power-Constrained Bandits
    Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez
    http://arxiv.org/abs/2004.06230v1

    • [cs.LG]Sequential Batch Learning in Finite-Action Linear Contextual Bandits
    Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose Blanchet, Peter W. Glynn, Yinyu Ye
    http://arxiv.org/abs/2004.06321v1

    • [cs.LG]Stochastic batch size for adaptive regularization in deep network optimization
    Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
    http://arxiv.org/abs/2004.06341v1

    • [cs.LG]Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
    Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog
    http://arxiv.org/abs/2004.06089v2

    • [cs.LG]Towards Robust Classification with Image Quality Assessment
    Yeli Feng, Yiyu Cai
    http://arxiv.org/abs/2004.06288v1

    • [cs.LG]Weight Poisoning Attacks on Pre-trained Models
    Keita Kurita, Paul Michel, Graham Neubig
    http://arxiv.org/abs/2004.06660v1

    • [cs.NE]A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling
    Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
    http://arxiv.org/abs/2004.06564v1

    • [cs.NE]Fast Mutation in Crossover-based Algorithms
    Denis Antipov, Maxim Buzdalov, Benjamin Doerr
    http://arxiv.org/abs/2004.06538v1

    • [cs.NE]The $(1 + (λ, λ))$ GA Is Even Faster on Multimodal Problems
    Denis Antipov, Benjamin Doerr, Vitalii Karavaev
    http://arxiv.org/abs/2004.06702v1

    • [cs.NE]Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems
    Koen van der Blom, Timo M. Deist, Tea Tušar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
    http://arxiv.org/abs/2004.06395v1

    • [cs.NI]Joint user and power scheduling in downlink NOMA over fading channels
    Do-Yup Kim, Hamid Jafarkhani, Jang-Won Lee
    http://arxiv.org/abs/2004.06585v1

    • [cs.NI]Managing Industrial Communication Delays with Software-Defined Networking
    Rutvij H. Jhaveri, Rui Tan, Arvind Easwaran, Sagar V. Ramani
    http://arxiv.org/abs/2004.06368v1

    • [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/2004.06077v2

    • [cs.OS]A Linux Kernel Scheduler Extension for Multi-core Systems
    Aleix Roca, Samuel Rodríguez, Albert Segura, Kevin Marquet, Vicenç Beltran
    http://arxiv.org/abs/2004.06354v1

    • [cs.PF]Robustness Comparison of Scheduling Algorithms in MapReduce Framework
    Amirali Daghighi, Jim Q. Chen
    http://arxiv.org/abs/2004.06254v1

    • [cs.RO]Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
    Baiming Chen, Liang Li
    http://arxiv.org/abs/2004.06531v1

    • [cs.RO]FAST-Hex — A Morphing Hexarotor: Design, Mechanical Implementation, Control and Experimental Validation
    Markus Ryll, Davide Bicego, Mattia Giurato, Marco Lovera, Antonio Franchi
    http://arxiv.org/abs/2004.06612v1

    • [cs.RO]Multi-Resolution A*
    Wei Du, Fahad Islam, Maxim Likhachev
    http://arxiv.org/abs/2004.06684v1

    • [cs.SE]Understanding What Software Engineers Are Working on — The Work-Item Prediction Challenge
    Ralf Lämmel, Alvin Kerber, Liane Praza
    http://arxiv.org/abs/2004.06174v1

    • [cs.SI]Author Name Disambiguation in Bibliographic Databases: A Survey
    Muhammad Shoaib, Ali Daud, Tehmina Amjad
    http://arxiv.org/abs/2004.06391v1

    • [cs.SI]Deep Learning Models for Multilingual Hate Speech Detection
    Sai Saket Aluru, Binny Mathew, Punyajoy Saha, Animesh Mukherjee
    http://arxiv.org/abs/2004.06465v1

    • [cs.SI]Efficient Approximation Algorithms for Adaptive Influence Maximization
    Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
    http://arxiv.org/abs/2004.06469v1

    • [cs.SI]Evolution Features and Behavior Characters of Friendship Networks on Campus Life
    Zongkai Yang, Zhu Su, Sannyuya Liu, Zhi Liu, Wenxiang Ke, Liang Zhao
    http://arxiv.org/abs/2004.06266v1

    • [cs.SI]Gender Detection on Social Networks using Ensemble Deep Learning
    Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
    http://arxiv.org/abs/2004.06518v1

    • [cs.SI]Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence
    Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli
    http://arxiv.org/abs/2004.06675v1

    • [cs.SI]Reports of Own and Others’ Symptoms and Diagnosis on Social Media Predict COVID-19 Case Counts in Mainland China
    Cuihua Shen, Anfan Chen, Chen Luo, Wang Liao, Jingwen Zhang, Bo Feng
    http://arxiv.org/abs/2004.06169v1

    • [cs.SI]Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19
    Hanjia Lyu, Long Chen, Yu Wang, Jiebo Luo
    http://arxiv.org/abs/2004.06307v1

    • [econ.EM]Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem
    Charles F. Manski, Francesca Molinari
    http://arxiv.org/abs/2004.06178v1

    • [eess.AS]Transformer based Grapheme-to-Phoneme Conversion
    Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
    http://arxiv.org/abs/2004.06338v1

    • [eess.IV]An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
    Tongxue Zhou, Stéphane Canu, Su Ruan
    http://arxiv.org/abs/2004.06673v1

    • [eess.IV]Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network
    Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe, Prakash S. Prasad
    http://arxiv.org/abs/2004.06334v1

    • [eess.IV]Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
    Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li
    http://arxiv.org/abs/2004.06163v1

    • [eess.IV]End-to-End Variational Networks for Accelerated MRI Reconstruction
    Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia Johnson
    http://arxiv.org/abs/2004.06688v1

    • [eess.IV]Learning a low dimensional manifold of real cancer tissue with PathologyGAN
    Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan
    http://arxiv.org/abs/2004.06517v1

    • [eess.IV]MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
    Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
    http://arxiv.org/abs/2004.04871v2

    • [eess.IV]On the interplay between physical and content priors in deep learning for computational imaging
    Mo Deng, Shuai Li, Iksung Kang, Nicholas X. Fang, George Barbastathis
    http://arxiv.org/abs/2004.06355v1

    • [eess.IV]SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
    Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Haensch, Alexei Bastidas, Scott Soenen, Todd Bacastow, Ryan Lewis
    http://arxiv.org/abs/2004.06500v1

    • [eess.IV]StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
    Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc
    http://arxiv.org/abs/2004.06402v1

    • [eess.IV]Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray
    Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Khandaker R. Islam, Khandaker F. Islam, Zaid B. Mahbub, Muhammad A. Kadir, Saad Kashem
    http://arxiv.org/abs/2004.06578v1

    • [eess.IV]Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
    Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang
    http://arxiv.org/abs/2004.06689v1

    • [eess.SP]Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines
    Vincent Schellekens, Laurent Jacques
    http://arxiv.org/abs/2004.06560v1

    • [eess.SP]Long-term scheduling and power control for wirelessly powered cell-free IoT
    Xinhua Wang, Xiaodong Wang, Alexei Ashikhmin
    http://arxiv.org/abs/2004.05278v1

    • [eess.SP]On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems
    Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli
    http://arxiv.org/abs/2004.06599v1

    • [eess.SP]Quantization Analysis and Robust Design for Distributed Graph Filters
    Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi
    http://arxiv.org/abs/2004.06692v1

    • [eess.SP]Robust Modelling of Reflectance Pulse Oximetry for SpO$_2$ Estimation
    Sricharan Vijayarangan, Prithvi Suresh, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
    http://arxiv.org/abs/2004.06301v1

    • [eess.SP]Wireless Information and Power Transfer for IoT Applications in Overlay Cognitive Radio Networks
    Devendra Singh Gurjar, Ha H. Nguyen, Hoang D. Tuan
    http://arxiv.org/abs/2004.06284v1

    • [math.NA]Efficient Least Residual Greedy Algorithms for Sparse Recovery
    Guy Leibovitz, Raja Giryes
    http://arxiv.org/abs/2004.06661v1

    • [math.NA]PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
    Hailong Sheng, Chao Yang
    http://arxiv.org/abs/2004.06490v1

    • [math.ST]Edgeworth expansions for network moments
    Yuan Zhang, Dong Xia
    http://arxiv.org/abs/2004.06615v1

    • [math.ST]Universal Approximation on the Hypersphere
    Tin Lok James Ng, Kwok-Kun Kwong
    http://arxiv.org/abs/2004.06328v1

    • [physics.ao-ph]Statistical Postprocessing for Weather Forecasts — Review, Challenges and Avenues in a Big Data World
    Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer, Gavin R. Evans, Jonathan Flowerdew, Stephan Hemri, Sebastian Lerch, Nigel Roberts, Susanne Theis, Aitor Atencia, Zied Ben Bouallègue, Jonas Bhend, Markus Dabernig, Lesley De Cruz, Leila Hieta, Olivier Mestre, Lionel Moret, Iris Odak Plenković, Maurice Schmeits, Maxime Taillardat, Joris Van den Bergh, Bert Van Schaeybroeck, Kirien Whan, Jussi Ylhaisi
    http://arxiv.org/abs/2004.06582v1

    • [physics.comp-ph]Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks
    JCS Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
    http://arxiv.org/abs/2004.06493v1

    • [physics.med-ph]A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
    Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve Jiang, Dan Nguyen
    http://arxiv.org/abs/2004.06244v1

    • [q-bio.PE]A Malaria Control Model Using Mobility Data: An Early Explanation of Kedougou’s Case in Senegal
    Lynda Bouzid Khiri, Ibrahima Gueye, Hubert Naacke, Idrissa Sarr, Stéphane Gançarski
    http://arxiv.org/abs/2004.06482v1

    • [q-bio.PE]Analysis proposals for test-negative design and matched case-control studies during widespread testing of symptomatic persons for SARS-Cov-2
    Jan P Vandenbroucke, Elizabeth B Brickley, Christina M. J. E. Vandenbroucke-Grauls, Neil Pearce
    http://arxiv.org/abs/2004.06033v1

    • [q-fin.ST]Latent Bayesian Inference for Robust Earnings Estimates
    Chirag Nagpal, Robert E. Tillman, Prashant Reddy, Manuela Veloso
    http://arxiv.org/abs/2004.06565v1

    • [stat.AP]Affiliation network model of HIV transmission in MSM
    Jonathan L. L. Larson, Jukka-Pekka J. Onnela
    http://arxiv.org/abs/2004.06145v1

    • [stat.AP]Average Treatment Effect Estimation in Observational Studies with Functional Covariates
    Rui Miao, Wu Xue, Xiaoke Zhang
    http://arxiv.org/abs/2004.06166v1

    • [stat.AP]Occupant Plugload Management for Demand Response in Commercial Buildings: Field Experimentation and Statistical Characterization
    Chaitanya Poolla, Abraham K. Ishihara, Dan Liddell, Rodney Martin, Steven Rosenberg
    http://arxiv.org/abs/2004.06633v1

    • [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/2004.06098v2

    • [stat.CO]Computing Bayes: Bayesian Computation from 1763 to the 21st Century
    Gael M. Martin, David T. Frazier, Christian P. Robert
    http://arxiv.org/abs/2004.06425v1

    • [stat.CO]Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization
    Hussein Hazimeh, Rahul Mazumder, Ali Saab
    http://arxiv.org/abs/2004.06152v1

    • [stat.ME]A logic-based resampling with matching approach to multiple imputation of missing data
    Chinchin Wang, Tyrel Stokes, Russell Steele, Niels Wedderkopp, Ian Shrier
    http://arxiv.org/abs/2004.06630v1

    • [stat.ME]Assessing the Performance of the Discrete Generalised Pareto Distribution in Modelling Non-Life Insurance Claims
    S. K-B. Dzidzornu, R. Minkah
    http://arxiv.org/abs/2004.06150v1

    • [stat.ME]Estimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
    Alexandra Niessl, Arthur Allignol, Carina Mueller, Jan Beyersmann
    http://arxiv.org/abs/2004.06514v1

    • [stat.ME]Group Testing for COVID-19: How to Stop Worrying and Test More
    Lakshmi N. Theagarajan
    http://arxiv.org/abs/2004.06306v1

    • [stat.ME]Maximum likelihood estimation in the additive hazards model
    Chengyuan Lu, Jelle Goeman, Hein Putter
    http://arxiv.org/abs/2004.06156v1

    • [stat.ME]Measurement Error in Nutritional Epidemiology: A Survey
    Huimin Peng
    http://arxiv.org/abs/2004.06448v1

    • [stat.ME]Measures of Selection Bias in Regression Coefficients Estimated from Non-Probability Samples
    Brady T. West, Roderick J. A. Little, Rebecca R. Andridge, Philip S. Boonstra, Erin B. Ware, Anita Pandit, Fernanda Alvarado-Leiton
    http://arxiv.org/abs/2004.06139v1

    • [stat.ME]Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys
    Terrance D. Savitsky, Matthew R. Williams
    http://arxiv.org/abs/2004.06191v1

    • [stat.ME]Robust Generalised Quadratic Discriminant Analysis
    Abhik Ghosh, Rita SahaRay, Sayan Chakrabarty, Sayan Bhadra
    http://arxiv.org/abs/2004.06568v1

    • [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/2004.06070v2

    • [stat.ME]The R Package stagedtrees for Structural Learning of Stratified Staged Trees
    Federico Carli, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
    http://arxiv.org/abs/2004.06459v1

    • [stat.ML]Estimation of Classification Rules from Partially Classified Data
    Geoffrey J. McLachlan, Daniel Ahfock
    http://arxiv.org/abs/2004.06237v1

    • [stat.ML]Learning from Aggregate Observations
    Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama
    http://arxiv.org/abs/2004.06316v1

    • [stat.ML]Particle-based Energetic Variational Inference
    Yiwei Wang, Jiuhai Chen, Lulu Kang, Chun Liu
    http://arxiv.org/abs/2004.06443v1

    • [stat.ML]Stochastic modeling of non-linear adsorption with Gaussian kernel density estimators
    Maryam Rahbaralam, Amir Abdollahi, Daniel Fernàndez-Garcia, Xavier Sanchez-Vila
    http://arxiv.org/abs/2004.06445v1

    • [stat.ML]The covariance matrix of Green’s functions and its application to machine learning
    Tomoko Nagai
    http://arxiv.org/abs/2004.06481v1