cs.AI - 人工智能

    cs.CE - 计算工程、 金融和科学 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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ins-det - 仪器和探测器 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Adjust Planning Strategies to Accommodate Reinforcement Learning Agents
    • [cs.AI]Decentralized MCTS via Learned Teammate Models
    • [cs.AI]Placement Optimization with Deep Reinforcement Learning
    • [cs.AI]Train Scheduling with Hybrid Answer Set Programming
    • [cs.CE]Strong Scaling of Numerical Solver for Supersonic Jet Flow Configuration
    • [cs.CL]An Analysis on the Learning Rules of the Skip-Gram Model
    • [cs.CL]Beheshti-NER: Persian Named Entity Recognition Using BERT
    • [cs.CL]Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph
    • [cs.CL]Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections
    • [cs.CL]Recent Advances and Challenges in Task-oriented Dialog System
    • [cs.CL]Temporal Embeddings and Transformer Models for Narrative Text Understanding
    • [cs.CL]Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent
    • [cs.CR]Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
    • [cs.CR]Backdooring and Poisoning Neural Networks with Image-Scaling Attacks
    • [cs.CR]Hybrid Model For Intrusion Detection Systems
    • [cs.CR]Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
    • [cs.CR]Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
    • [cs.CV]A Content Transformation Block For Image Style Transfer
    • [cs.CV]A Metric Learning Reality Check
    • [cs.CV]AQPDBJUT Dataset: Picture-Based PM2.5 Monitoring in the Campus of BJUT
    • [cs.CV]Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
    • [cs.CV]Adversarial Texture Optimization from RGB-D Scans
    • [cs.CV]Breast Cancer Detection Using Convolutional Neural Networks
    • [cs.CV]CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
    • [cs.CV]Child Face Age-Progression via Deep Feature Aging
    • [cs.CV]Collaborative Distillation for Ultra-Resolution Universal Style Transfer
    • [cs.CV]Curriculum DeepSDF
    • [cs.CV]Deep Active Learning for Remote Sensing Object Detection
    • [cs.CV]Deep convolutional embedding for digitized painting clustering
    • [cs.CV]Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo
    • [cs.CV]Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
    • [cs.CV]Detecting Deepfakes with Metric Learning
    • [cs.CV]Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers
    • [cs.CV]Detection of Pitt-Hopkins Syndrome based on morphological facial features
    • [cs.CV]Domain-Adaptive Few-Shot Learning
    • [cs.CV]Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
    • [cs.CV]Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
    • [cs.CV]Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
    • [cs.CV]Exemplar Normalization for Learning Deep Representation
    • [cs.CV]Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
    • [cs.CV]Foldover Features for Dynamic Object Behavior Description in Microscopic Videos
    • [cs.CV]GAN Compression: Efficient Architectures for Interactive Conditional GANs
    • [cs.CV]Gaze-Sensing LEDs for Head Mounted Displays
    • [cs.CV]Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
    • [cs.CV]Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
    • [cs.CV]High Accuracy Face Geometry Capture using a Smartphone Video
    • [cs.CV]High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
    • [cs.CV]High-Resolution Daytime Translation Without Domain Labels
    • [cs.CV]Incremental Object Detection via Meta-Learning
    • [cs.CV]JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
    • [cs.CV]LANCE: efficient low-precision quantized Winograd convolution for neural networks based on graphics processing units
    • [cs.CV]Leveraging Frequency Analysis for Deep Fake Image Recognition
    • [cs.CV]Local Rotation Invariance in 3D CNNs
    • [cs.CV]MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality
    • [cs.CV]Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
    • [cs.CV]NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
    • [cs.CV]Normalized and Geometry-Aware Self-Attention Network for Image Captioning
    • [cs.CV]PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
    • [cs.CV]Pedestrian Detection: The Elephant In The Room
    • [cs.CV]Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
    • [cs.CV]Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
    • [cs.CV]Quality Control of Neuron Reconstruction Based on Deep Learning
    • [cs.CV]Reconstructing Sinus Anatomy from Endoscopic Video — Towards a Radiation-free Approach for Quantitative Longitudinal Assessment
    • [cs.CV]Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
    • [cs.CV]SAPIEN: A SimulAted Part-based Interactive ENvironment
    • [cs.CV]STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
    • [cs.CV]Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
    • [cs.CV]Self-Supervised Contextual Bandits in Computer Vision
    • [cs.CV]Semi-supervised few-shot learning for medical image segmentation
    • [cs.CV]Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
    • [cs.CV]Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
    • [cs.CV]Teacher-Student chain for efficient semi-supervised histology image classification
    • [cs.CV]Teacher-Student chain for efficient semi-supervised histology image classification
    • [cs.CV]Unique Geometry and Texture from Corresponding Image Patches
    • [cs.CV]Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
    • [cs.CV]Unsupervised text line segmentation
    • [cs.CV]Visual link retrieval and knowledge discovery in painting datasets
    • [cs.CY]Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol
    • [cs.CY]Conducting Privacy-Sensitive Surveys: A Case Study of Civil Society Organizations
    • [cs.CY]Empirical Characterization of Mobility of Multi-Device Internet Users
    • [cs.CY]NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
    • [cs.CY]Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits
    • [cs.DB]Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis
    • [cs.DC]A Flexible n/2 Adversary Node Resistant and Halting Recoverable Blockchain Sharding Protocol
    • [cs.DC]Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform
    • [cs.DL]A Corpus of Adpositional Supersenses for Mandarin Chinese
    • [cs.IR]QnAMaker: Data to Bot in 2 Minutes
    • [cs.IT]A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
    • [cs.IT]A Soft Cancellation Decoder for Parity-Check Polar Codes
    • [cs.IT]Integer Ring Sieve (IRS) for Constructing Compact QC-LDPC Codes with Large Girth
    • [cs.IT]On Dynamic Time Division Duplex Transmissions for Small Cell Networks
    • [cs.LG]Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
    • [cs.LG]Conditional Gaussian Distribution Learning for Open Set Recognition
    • [cs.LG]Ensemble learning in CNN augmented with fully connected subnetworks
    • [cs.LG]Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
    • [cs.LG]Lifelong Learning with Searchable Extension Units
    • [cs.LG]MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
    • [cs.LG]Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
    • [cs.LG]NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent
    • [cs.LG]Overinterpretation reveals image classification model pathologies
    • [cs.LG]Predicting Performance of Asynchronous Differentially-Private Learning
    • [cs.LG]Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
    • [cs.LG]Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
    • [cs.LG]RAB: Provable Robustness Against Backdoor Attacks
    • [cs.LG]Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations
    • [cs.LG]Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
    • [cs.LG]Survey of Personalization Techniques for Federated Learning
    • [cs.LG]Train, Learn, Expand, Repeat
    • [cs.LG]Uncertainty Estimation in Cancer Survival Prediction
    • [cs.LG]Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
    • [cs.LG]XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
    • [cs.MA]Redistribution Systems and PRAM
    • [cs.MM]DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
    • [cs.MM]Viewport-Aware Deep Reinforcement Learning Approach for 360$^o$ Video Caching
    • [cs.NE]Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
    • [cs.RO]A comparative study on 2-DOF variable stiffness mechanisms
    • [cs.RO]Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
    • [cs.RO]Formation and Reconfiguration of Tight Multi-Lane Platoons
    • [cs.RO]Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
    • [cs.RO]Learning to Fly via Deep Model-Based Reinforcement Learning
    • [cs.RO]Optimal Algorithm Allocation for Single Robot Cloud Systems
    • [cs.RO]Provably Constant-Time Planning and Re-planning for Real-time Grasping Objects off a Conveyor
    • [cs.RO]The Shapeshifter: a Morphing, Multi-Agent,Multi-Modal Robotic Platform for the Exploration of Titan (preprint version)
    • [cs.SI]Bipartite Link Prediction based on Topological Features via 2-hop Path
    • [cs.SI]On Broadcasting Time in the Model of Travelling Agents
    • [cs.SI]Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media
    • [econ.EM]Experimental Design under Network Interference
    • [eess.IV]Brain tumor segmentation with missing modalities via latent multi-source correlation representation
    • [eess.IV]Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
    • [eess.IV]End-to-End Deep Diagnosis of X-ray Images
    • [eess.IV]GIQA: Generated Image Quality Assessment
    • [eess.IV]HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
    • [eess.IV]Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray
    • [eess.IV]RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images
    • [eess.IV]Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention
    • [eess.IV]Volumetric parcellation of the right ventricle for regional geometric and functional assessment
    • [eess.IV]Weakly Supervised PET Tumor Detection Using Class Response
    • [eess.SP]Extremal Region Analysis based Deep Learning Framework for Detecting Defects
    • [eess.SP]TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers
    • [eess.SY]Automated Formal Synthesis of Lyapunov Neural Networks
    • [eess.SY]Fault Handling in Large Water Networks with Online Dictionary Learning
    • [eess.SY]Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
    • [math.NA]HOSVD-Based Algorithm for Weighted Tensor Completion
    • [math.OC]Block Layer Decomposition schemes for training Deep Neural Networks
    • [math.OC]Faster SVM Training via Conjugate SMO
    • [math.OC]Malicious Experts versus the multiplicative weights algorithm in online prediction
    • [math.PR]EM algorithm for stochastic hybrid systems
    • [math.PR]Parameter estimation for discretely sampled stochastic heat equation driven by space-only noise revised
    • [math.ST]A comparison of Hurst exponent estimators in long-range dependent curve time series
    • [math.ST]Admissible estimators of a multivariate normal mean vector when the scale is unknown
    • [math.ST]Asymptotic delay times of sequential tests based on U-statistics for early and late change points
    • [math.ST]Chernoff-type Concentration of Empirical Probabilities in Relative Entropy
    • [physics.comp-ph]Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
    • [physics.ins-det]Towards a Computer Vision Particle Flow
    • [physics.soc-ph]Identification of complex network topologies through delayed mutual information
    • [q-bio.BM]Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
    • [q-bio.BM]Site2Vec: a reference frame invariant algorithm for vector embedding of protein-ligand binding sites
    • [stat.AP]Neutron reflectometry analysis: using model-dependent methods
    • [stat.AP]Nonparametric estimation of variable productivity Hawkes processes
    • [stat.AP]On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict
    • [stat.ME]Causal Simulation Experiments: Lessons from Bias Amplification
    • [stat.ME]Multilevel Emulation for Stochastic Computer Models with an Application to Large Offshore Windfarms
    • [stat.ML]Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
    • [stat.ML]Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
    • [stat.ML]Semi-analytic approximate stability selection for correlated data in generalized linear models
    • [stat.ML]Teacher-Student Domain Adaptation for Biosensor Models

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

    • [cs.AI]Adjust Planning Strategies to Accommodate Reinforcement Learning Agents
    Xuerun Chen
    http://arxiv.org/abs/2003.08554v1

    • [cs.AI]Decentralized MCTS via Learned Teammate Models
    Aleksander Czechowski, Frans Oliehoek
    http://arxiv.org/abs/2003.08727v1

    • [cs.AI]Placement Optimization with Deep Reinforcement Learning
    Anna Goldie, Azalia Mirhoseini
    http://arxiv.org/abs/2003.08445v1

    • [cs.AI]Train Scheduling with Hybrid Answer Set Programming
    Dirk Abels, Julian Jordi, Max Ostrowski, Torsten Schaub, Ambra Toletti, Philipp Wanko
    http://arxiv.org/abs/2003.08598v1

    • [cs.CE]Strong Scaling of Numerical Solver for Supersonic Jet Flow Configuration
    Carlos Junqueira-Junior, João Luiz F. Azevedo, Jairo Panetta, William R. Wolf, Sami Yamouni
    http://arxiv.org/abs/2003.08746v1

    • [cs.CL]An Analysis on the Learning Rules of the Skip-Gram Model
    Canlin Zhang, Xiuwen Liu, Daniel Bis
    http://arxiv.org/abs/2003.08489v1

    • [cs.CL]Beheshti-NER: Persian Named Entity Recognition Using BERT
    Ehsan Taher, Seyed Abbas Hoseini, Mehrnoush Shamsfard
    http://arxiv.org/abs/2003.08875v1

    • [cs.CL]Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph
    Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
    http://arxiv.org/abs/2003.08612v1

    • [cs.CL]Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections
    Yi-An Lai, Xuan Zhu, Yi Zhang, Mona Diab
    http://arxiv.org/abs/2003.08529v1

    • [cs.CL]Recent Advances and Challenges in Task-oriented Dialog System
    Zheng Zhang, Ryuichi Takanobu, Minlie Huang, Xiaoyan Zhu
    http://arxiv.org/abs/2003.07490v2

    • [cs.CL]Temporal Embeddings and Transformer Models for Narrative Text Understanding
    Vani K, Simone Mellace, Alessandro Antonucci
    http://arxiv.org/abs/2003.08811v1

    • [cs.CL]Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent
    Anoop Kunchukuttan, Pushpak Bhattacharyya
    http://arxiv.org/abs/2003.08925v1

    • [cs.CR]Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
    Ramesh Raskar, Isabel Schunemann, Rachel Barbar, Kristen Vilcans, Jim Gray, Praneeth Vepakomma, Suraj Kapa, Andrea Nuzzo, Rajiv Gupta, Alex Berke, Dazza Greenwood, Christian Keegan, Shriank Kanaparti, Robson Beaudry, David Stansbury, Beatriz Botero Arcila, Rishank Kanaparti, Vitor Pamplona, Francesco M Benedetti, Alina Clough, Riddhiman Das, Kaushal Jain, Khahlil Louisy, Greg Nadeau, Vitor Pamplona, Steve Penrod, Yasaman Rajaee, Abhishek Singh, Greg Storm, John Werner
    http://arxiv.org/abs/2003.08567v1

    • [cs.CR]Backdooring and Poisoning Neural Networks with Image-Scaling Attacks
    Erwin Quiring, Konrad Rieck
    http://arxiv.org/abs/2003.08633v1

    • [cs.CR]Hybrid Model For Intrusion Detection Systems
    Baha Rababah, Srija Srivastava
    http://arxiv.org/abs/2003.08585v1

    • [cs.CR]Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
    Abhishek Jana, Md Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T Amariucai
    http://arxiv.org/abs/2003.08433v1

    • [cs.CR]Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
    Christian Berghoff, Matthias Neu, Arndt von Twickel
    http://arxiv.org/abs/2003.08837v1

    • [cs.CV]A Content Transformation Block For Image Style Transfer
    Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
    http://arxiv.org/abs/2003.08407v1

    • [cs.CV]A Metric Learning Reality Check
    Kevin Musgrave, Serge Belongie, Ser-Nam Lim
    http://arxiv.org/abs/2003.08505v1

    • [cs.CV]AQPDBJUT Dataset: Picture-Based PM2.5 Monitoring in the Campus of BJUT
    Yonghui Zhang, Ke Gu, Zhifang Xia, Junfei Qiao
    http://arxiv.org/abs/2003.08609v1

    • [cs.CV]Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
    Liad Pollak Zuckerman, Shai Bagon, Eyal Naor, George Pisha, Michal Irani
    http://arxiv.org/abs/2003.08872v1

    • [cs.CV]Adversarial Texture Optimization from RGB-D Scans
    Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas Guibas, Matthias Nießner, Thomas Funkhouser
    http://arxiv.org/abs/2003.08400v1

    • [cs.CV]Breast Cancer Detection Using Convolutional Neural Networks
    Simon Hadush, Yaecob Girmay, Abiot Sinamo, Gebrekirstos Hagos
    http://arxiv.org/abs/2003.07911v2

    • [cs.CV]CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
    Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua
    http://arxiv.org/abs/2003.08560v1

    • [cs.CV]Child Face Age-Progression via Deep Feature Aging
    Debayan Deb, Divyansh Aggarwal, Anil K. Jain
    http://arxiv.org/abs/2003.08788v1

    • [cs.CV]Collaborative Distillation for Ultra-Resolution Universal Style Transfer
    Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang
    http://arxiv.org/abs/2003.08436v1

    • [cs.CV]Curriculum DeepSDF
    Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas
    http://arxiv.org/abs/2003.08593v1

    • [cs.CV]Deep Active Learning for Remote Sensing Object Detection
    Zhenshen Qu, Jingda Du, Yong Cao, Qiuyu Guan, Pengbo Zhao
    http://arxiv.org/abs/2003.08793v1

    • [cs.CV]Deep convolutional embedding for digitized painting clustering
    Giovanna Castellano, Gennaro Vessio
    http://arxiv.org/abs/2003.08597v1

    • [cs.CV]Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo
    Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich
    http://arxiv.org/abs/2003.08933v1

    • [cs.CV]Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
    Zuyao Chen, Qingming Huang
    http://arxiv.org/abs/2003.08608v1

    • [cs.CV]Detecting Deepfakes with Metric Learning
    Akash Kumar, Arnav Bhavsar
    http://arxiv.org/abs/2003.08645v1

    • [cs.CV]Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers
    Zhuoping Yu, Xiaozhou Ren, Yuyao Huang, Wei Tian, Junqiao Zhao
    http://arxiv.org/abs/2003.08550v1

    • [cs.CV]Detection of Pitt-Hopkins Syndrome based on morphological facial features
    Elena D’Amato, Constantino Carlos Reyes-Aldasoro, Maria Felicia Faienza, Marcella Zollino
    http://arxiv.org/abs/2003.08229v2

    • [cs.CV]Domain-Adaptive Few-Shot Learning
    An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo
    http://arxiv.org/abs/2003.08626v1

    • [cs.CV]Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
    Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
    http://arxiv.org/abs/2003.08802v1

    • [cs.CV]Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
    Rui Xiang, Rongjie Lai, Hongkai Zhao
    http://arxiv.org/abs/2003.08680v1

    • [cs.CV]Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
    Gökhan Yildirim, Debashis Sen, Mohan Kankanhalli, Sabine Süsstrunk
    http://arxiv.org/abs/2003.08514v1

    • [cs.CV]Exemplar Normalization for Learning Deep Representation
    Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
    http://arxiv.org/abs/2003.08761v1

    • [cs.CV]Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
    Yu Tian, Kunbo Zhang, Leyuan Wang, Zhenan Sun
    http://arxiv.org/abs/2003.08024v2

    • [cs.CV]Foldover Features for Dynamic Object Behavior Description in Microscopic Videos
    Xialin Li, Chen Li, Wenwei Zhao
    http://arxiv.org/abs/2003.08628v1

    • [cs.CV]GAN Compression: Efficient Architectures for Interactive Conditional GANs
    Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
    http://arxiv.org/abs/2003.08936v1

    • [cs.CV]Gaze-Sensing LEDs for Head Mounted Displays
    Kaan Akşit, Jan Kautz, David Luebke
    http://arxiv.org/abs/2003.08499v1

    • [cs.CV]Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
    Thierry Deruyttere, Guillem Collell, Marie-Francine Moens
    http://arxiv.org/abs/2003.08717v1

    • [cs.CV]Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
    Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2003.08935v1

    • [cs.CV]High Accuracy Face Geometry Capture using a Smartphone Video
    Shubham Agrawal, Anuj Pahuja, Simon Lucey
    http://arxiv.org/abs/2003.08583v1

    • [cs.CV]High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
    Guan’an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
    http://arxiv.org/abs/2003.08177v2

    • [cs.CV]High-Resolution Daytime Translation Without Domain Labels
    Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky
    http://arxiv.org/abs/2003.08791v1

    • [cs.CV]Incremental Object Detection via Meta-Learning
    K J Joseph, Jathushan Rajasegaran, Salman Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao
    http://arxiv.org/abs/2003.08798v1

    • [cs.CV]JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
    Zhiwen Shao, Zhilei Liu, Jianfei Cai, Lizhuang Ma
    http://arxiv.org/abs/2003.08834v1

    • [cs.CV]LANCE: efficient low-precision quantized Winograd convolution for neural networks based on graphics processing units
    Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
    http://arxiv.org/abs/2003.08646v1

    • [cs.CV]Leveraging Frequency Analysis for Deep Fake Image Recognition
    Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz
    http://arxiv.org/abs/2003.08685v1

    • [cs.CV]Local Rotation Invariance in 3D CNNs
    Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
    http://arxiv.org/abs/2003.08890v1

    • [cs.CV]MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality
    Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
    http://arxiv.org/abs/2003.08806v1

    • [cs.CV]Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
    Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji
    http://arxiv.org/abs/20
    96e
    03.08813v1
    96e
    03.08813v1)

    • [cs.CV]NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
    Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
    http://arxiv.org/abs/2003.08934v1

    • [cs.CV]Normalized and Geometry-Aware Self-Attention Network for Image Captioning
    Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu
    http://arxiv.org/abs/2003.08897v1

    • [cs.CV]PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
    Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
    http://arxiv.org/abs/2003.08624v1

    • [cs.CV]Pedestrian Detection: The Elephant In The Room
    Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao
    http://arxiv.org/abs/2003.08799v1

    • [cs.CV]Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
    Osamu Shouno
    http://arxiv.org/abs/2003.08635v1

    • [cs.CV]Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
    Yunhao Ge, Jiaping Zhao, Laurent Itti
    http://arxiv.org/abs/2003.08526v1

    • [cs.CV]Quality Control of Neuron Reconstruction Based on Deep Learning
    Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng
    http://arxiv.org/abs/2003.08556v1

    • [cs.CV]Reconstructing Sinus Anatomy from Endoscopic Video — Towards a Radiation-free Approach for Quantitative Longitudinal Assessment
    Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
    http://arxiv.org/abs/2003.08502v1

    • [cs.CV]Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
    Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
    http://arxiv.org/abs/2003.08124v1

    • [cs.CV]SAPIEN: A SimulAted Part-based Interactive ENvironment
    Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
    http://arxiv.org/abs/2003.08515v1

    • [cs.CV]STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
    Ali Athar, Sabarinath Mahadevan, Aljoša Ošep, Laura Leal-Taixé, Bastian Leibe
    http://arxiv.org/abs/2003.08429v1

    • [cs.CV]Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
    Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian
    http://arxiv.org/abs/2003.08777v1

    • [cs.CV]Self-Supervised Contextual Bandits in Computer Vision
    Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Urun Dogan
    http://arxiv.org/abs/2003.08485v1

    • [cs.CV]Semi-supervised few-shot learning for medical image segmentation
    Abdur R Feyjie, Reza Azad, Marco Pedersoli, Claude Kauffman, Ismail Ben Ayed, Jose Dolz
    http://arxiv.org/abs/2003.08462v1

    • [cs.CV]Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
    Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
    http://arxiv.org/abs/2003.08866v1

    • [cs.CV]Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
    Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan Yuille
    http://arxiv.org/abs/2003.08440v1

    • [cs.CV]Teacher-Student chain for efficient semi-supervised histology image classification
    Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A Tsaftaris, Alison Q O’Neil
    http://arxiv.org/abs/2
    139b
    003.08797v1
    139b
    003.08797v1)

    • [cs.CV]Teacher-Student chain for efficient semi-supervised histology image classification
    Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A Tsaftaris, Alison Q O’Neil
    http://arxiv.org/abs/2003.08797v1

    • [cs.CV]Unique Geometry and Texture from Corresponding Image Patches
    Dor Verbin, Steven J. Gortler, Todd Zickler
    http://arxiv.org/abs/2003.08885v1

    • [cs.CV]Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
    Hui Tang, Ke Chen, Kui Jia
    http://arxiv.org/abs/2003.08607v1

    • [cs.CV]Unsupervised text line segmentation
    Berat Kurar Barakat, Ahmad Droby, Rym Alasam, Boraq Madi, Irina Rabaev, Raed Shammes, Jihad El-Sana
    http://arxiv.org/abs/2003.08632v1

    • [cs.CV]Visual link retrieval and knowledge discovery in painting datasets
    Giovanna Castellano, Eufemia Lella, Gennaro Vessio
    http://arxiv.org/abs/2003.08476v1

    • [cs.CY]Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol
    Fang Zhu, Qian Zhang, Hao Chen, Guocheng Shi, Chen Wen, Zhongqun Zhu, Huiwen Chen
    http://arxiv.org/abs/2003.08800v1

    • [cs.CY]Conducting Privacy-Sensitive Surveys: A Case Study of Civil Society Organizations
    Nikita Samarin, Alisa Frik, Sean Brooks, Coye Cheshire, Serge Egelman
    http://arxiv.org/abs/2003.08580v1

    • [cs.CY]Empirical Characterization of Mobility of Multi-Device Internet Users
    Amee Trivedi, Jeremy Gummeson, Prashant Shenoy
    http://arxiv.org/abs/2003.08512v1

    • [cs.CY]NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
    Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
    http://arxiv.org/abs/2003.08444v1

    • [cs.CY]Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits
    Michael Chesser, Asangi Jayatilaka, Renuka Visvanathan, Christophe Fumeaux, Alanson Sample, Damith C. Ranasinghe
    http://arxiv.org/abs/2003.08530v1

    • [cs.DB]Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis
    Teemu Lehto, Markku Hinkka
    http://arxiv.org/abs/2003.08170v1

    • [cs.DC]A Flexible n/2 Adversary Node Resistant and Halting Recoverable Blockchain Sharding Protocol
    Yibin Xu, Yangyu Huang, Jianhua Shao, George Theodorakopoulos
    http://arxiv.org/abs/2003.06990v3

    • [cs.DC]Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform
    Soroush Bateni, Zhendong Wang, Yuankun Zhu, Yang Hu, Cong Liu
    http://arxiv.org/abs/2003.07945v2

    • [cs.DL]A Corpus of Adpositional Supersenses for Mandarin Chinese
    Siyao Peng, Yang Liu, Yilun Zhu, Austin Blodgett, Yushi Zhao, Nathan Schneider
    http://arxiv.org/abs/2003.08437v1

    • [cs.IR]QnAMaker: Data to Bot in 2 Minutes
    Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Neha Rajput, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Reddy Satti, Niranjan Nayak
    http://arxiv.org/abs/2003.08553v1

    • [cs.IT]A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
    Hossein S. Ghadikolaei, Hadi Ghauch, Gabor Fodor, Mikael Skoglund, Carlo Fischione
    http://arxiv.org/abs/2003.08611v1

    • [cs.IT]A Soft Cancellation Decoder for Parity-Check Polar Codes
    Jiajie Tong, Huazi Zhang, Xianbin Wang, Shengchen Dai, Rong Li, Jun Wang
    http://arxiv.org/abs/2003.08640v1

    • [cs.IT]Integer Ring Sieve (IRS) for Constructing Compact QC-LDPC Codes with Large Girth
    Alireza Tasdighi, Emmanuel Boutillon
    http://arxiv.org/abs/2003.08707v1

    • [cs.IT]On Dynamic Time Division Duplex Transmissions for Small Cell Networks
    Ming Ding, David Lopez Perez, Thanos Vasilakos, Wen Chen
    http://arxiv.org/abs/2003.08718v1

    • [cs.LG]Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
    Amin Ghiasi, Ali Shafahi, Tom Goldstein
    http://arxiv.org/abs/2003.08937v1

    • [cs.LG]Conditional Gaussian Distribution Learning for Open Set Recognition
    Xin Sun, Zhenning Yang, Chi Zhang, Guohao Peng, Keck-Voon Ling
    http://arxiv.org/abs/2003.08823v1

    • [cs.LG]Ensemble learning in CNN augmented with fully connected subnetworks
    Daiki Hirata, Norikazu Takahashi
    http://arxiv.org/abs/2003.08562v1

    • [cs.LG]Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
    Ali Balali, Masoud Asadpour, Ricardo Campos, Adam Jatowt
    http://arxiv.org/abs/2003.08615v1

    • [cs.LG]Lifelong Learning with Searchable Extension Units
    Wenjin Wang, Yunqing Hu, Yin Zhang
    http://arxiv.org/abs/2003.08559v1

    • [cs.LG]MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
    Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh
    http://arxiv.org/abs/2003.08472v1

    • [cs.LG]Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
    Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson
    http://arxiv.org/abs/2003.08839v1

    • [cs.LG]NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent
    Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
    http://arxiv.org/abs/2003.08844v1

    • [cs.LG]Overinterpretation reveals image classification model pathologies
    Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
    http://arxiv.org/abs/2003.08907v1

    • [cs.LG]Predicting Performance of Asynchronous Differentially-Private Learning
    Farhad Farokhi, Mohamed Ali Kaafar
    http://arxiv.org/abs/2003.08500v1

    • [cs.LG]Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
    Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
    http://arxiv.org/abs/2003.08725v1

    • [cs.LG]Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths
    Andreas Robinson
    http://arxiv.org/abs/2003.08494v1

    • [cs.LG]RAB: Provable Robustness Against Backdoor Attacks
    Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
    http://arxiv.org/abs/2003.08904v1

    • [cs.LG]Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations
    Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane Boning, Cho-Jui Hsieh
    http://arxiv.org/abs/2003.08938v1

    • [cs.LG]Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
    Yimeng Min, Frederik Wenkel, Guy Wolf
    http://arxiv.org/abs/2003.08414v1

    • [cs.LG]Survey of Personalization Techniques for Federated Learning
    Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
    http://arxiv.org/abs/2003.08673v1

    • [cs.LG]Train, Learn, Expand, Repeat
    Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer
    http://arxiv.org/abs/2003.08469v1

    • [cs.LG]Uncertainty Estimation in Cancer Survival Prediction
    Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi
    http://arxiv.org/abs/2003.08573v1

    • [cs.LG]Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
    Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro
    http://arxiv.org/abs/2003.08420v1

    • [cs.LG]XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
    Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon
    http://arxiv.org/abs/2003.08561v1

    • [cs.MA]Redistribution Systems and PRAM
    Paul Cohen, Tomasz Loboda
    http://arxiv.org/abs/2003.08783v1

    • [cs.MM]DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
    Yuan Gao, Robert Bregovic, Reinhard Koch, Atanas Gotchev
    http://arxiv.org/abs/2003.08865v1

    • [cs.MM]Viewport-Aware Deep Reinforcement Learning Approach for 360$^o$ Video Caching
    Pantelis Maniotis, Nikolaos Thomos
    http://arxiv.org/abs/2003.08473v1

    • [cs.NE]Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
    Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
    http://arxiv.org/abs/2003.08536v1

    • [cs.RO]A comparative study on 2-DOF variable stiffness mechanisms
    Christoph Stoeffler, Shivesh Kumar, Andreas Müller
    http://arxiv.org/abs/2003.08801v1

    • [cs.RO]Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation
    Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg
    http://arxiv.org/abs/2003.08520v1

    • [cs.RO]Formation and Reconfiguration of Tight Multi-Lane Platoons
    Roya Firoozi, Xiaojing Zhang, Francesco Borrelli
    http://arxiv.org/abs/2003.08595v1

    • [cs.RO]Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
    Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner
    http://arxiv.org/abs/2003.08854v1

    • [cs.RO]Learning to Fly via Deep Model-Based Reinforcement Learning
    Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
    http://arxiv.org/abs/2003.08876v1

    • [cs.RO]Optimal Algorithm Allocation for Single Robot Cloud Systems
    Saeid Alirezazadeh, Luís A. Alexandre
    http://arxiv.org/abs/2003.08683v1

    • [cs.RO]Provably Constant-Time Planning and Re-planning for Real-time Grasping Objects off a Conveyor
    Fahad Islam, Oren Salzman, Aditya Agraval, Maxim Likhachev
    http://arxiv.org/abs/2003.08517v1

    • [cs.RO]The Shapeshifter: a Morphing, Multi-Agent,Multi-Modal Robotic Platform for the Exploration of Titan (preprint version)
    Ali-akbar Agha-mohammadi, Andrea Tagliabue, Stephanie Schneider, Benjamin Morrell, Marco Pavone, Jason Hofgartner, Issa A. D. Nesnas, Rashied B. Amini, Arash Kalantari, Alessandra Babuscia, Jonathan Lunine
    http://arxiv.org/abs/2003.08293v1

    • [cs.SI]Bipartite Link Prediction based on Topological Features via 2-hop Path
    Jungwoon Shin
    http://arxiv.org/abs/2003.08572v1

    • [cs.SI]On Broadcasting Time in the Model of Travelling Agents
    Reaz Huq, Bogumil Kaminski, Atefeh Mashatan, Pawel Pralat, Przemyslaw Szufel
    http://arxiv.org/abs/2003.08501v1

    • [cs.SI]Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media
    Massimo Stella
    http://arxiv.org/abs/2003.08835v1

    • [econ.EM]Experimental Design under Network Interference
    Davide Viviano
    http://arxiv.org/abs/2003.08421v1

    • [eess.IV]Brain tumor segmentation with missing modalities via latent multi-source correlation representation
    Tongxue Zhou, Stephane Canu, Pierre Vera, Su Ruan
    http://arxiv.org/abs/2003.08870v1

    • [eess.IV]Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
    Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille
    http://arxiv.org/abs/2003.08441v1

    • [eess.IV]End-to-End Deep Diagnosis of X-ray Images
    Kudaibergen Urinbayev, Yerassyl Orazbek, Yernur Nurambek, Almas Mirzakhmetov, Huseyin Atakan Varol
    http://arxiv.org/abs/2003.08605v1

    • [eess.IV]GIQA: Generated Image Quality Assessment
    Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
    http://arxiv.org/abs/2003.08932v1

    • [eess.IV]HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
    Deepak Singla, Soham Chatterjee, Lavanya Ramapantulu, Andres Ussa, Bharath Ramesh, Arindam Basu
    http://arxiv.org/abs/2003.08603v1

    • [eess.IV]Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray
    Weinan Song, Yuan Liang, Kun Wang, Lei He
    http://arxiv.org/abs/2003.08413v1

    • [eess.IV]RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images
    Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
    http://arxiv.org/abs/2003.08663v1

    • [eess.IV]Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention
    Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
    http://arxiv.org/abs/2003.08539v1

    • [eess.IV]Volumetric parcellation of the right ventricle for regional geometric and functional assessment
    Gabriel Bernardino, Amir Hodzic, Helene Langet, Mathieu De Craene, Miguel Angel González Ballester, Eric Saloux, Bart Bijnens
    http://arxiv.org/abs/2003.08423v1

    • [eess.IV]Weakly Supervised PET Tumor Detection Using Class Response
    Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
    http://arxiv.org/abs/2003.08337v2

    • [eess.SP]Extremal Region Analysis based Deep Learning Framework for Detecting Defects
    Zelin Deng, Xiaolong Yan, Shengjun Zhang, Colleen P. Bailey
    http://arxiv.org/abs/2003.08525v1

    • [eess.SP]TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers
    Karel Mundnich, Brandon M. Booth, Michelle L’Hommedieu, Tiantian Feng, Benjamin Girault, Justin L’Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan
    http://arxiv.org/abs/2003.08474v1

    • [eess.SY]Automated Formal Synthesis of Lyapunov Neural Networks
    Alessandro Abate, Daniele Ahmed, Mirco Giacobbe, Andrea Peruffo
    http://arxiv.org/abs/2003.08910v1

    • [eess.SY]Fault Handling in Large Water Networks with Online Dictionary Learning
    Paul Irofti, Florin Stoican, Vicenç Puig
    http://arxiv.org/abs/2003.08483v1

    • [eess.SY]Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
    Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
    http://arxiv.org/abs/2003.08034v1

    • [math.NA]HOSVD-Based Algorithm for Weighted Tensor Completion
    Longxiu Huang, Deanna Needell
    http://arxiv.org/abs/2003.08537v1

    • [math.OC]Block Layer Decomposition schemes for training Deep Neural Networks
    Laura Palagi, Ruggiero Seccia
    http://arxiv.org/abs/2003.08123v1

    • [math.OC]Faster SVM Training via Conjugate SMO
    Alberto Torres-Barrán, Carlos Alaíz, José R. Dorronsoro
    http://arxiv.org/abs/2003.08719v1

    • [math.OC]Malicious Experts versus the multiplicative weights algorithm in online prediction
    Erhan Bayraktar, H. Vincent Poor, Xin Zhang
    http://arxiv.org/abs/2003.08457v1

    • [math.PR]EM algorithm for stochastic hybrid systems
    Masaaki Fukasawa
    http://arxiv.org/abs/2003.08544v1

    • [math.PR]Parameter estimation for discretely sampled stochastic heat equation driven by space-only noise revised
    Igor Cialenco, Hyun-Jung Kim
    http://arxiv.org/abs/2003.08920v1

    • [math.ST]A comparison of Hurst exponent estimators in long-range dependent curve time series
    Han Lin Shang
    http://arxiv.org/abs/2003.08787v1

    • [math.ST]Admissible estimators of a multivariate normal mean vector when the scale is unknown
    Yuzo Maruyama, William E. Strawderman
    http://arxiv.org/abs/2003.08571v1

    • [math.ST]Asymptotic delay times of sequential tests based on U-statistics for early and late change points
    Claudia Kirch, Christina Stoehr
    http://arxiv.org/abs/2003.08847v1

    • [math.ST]Chernoff-type Concentration of Empirical Probabilities in Relative Entropy
    F. Richard Guo, Thomas S. Richardson
    http://arxiv.org/abs/2003.08614v1

    • [physics.comp-ph]Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
    E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
    http://arxiv.org/abs/2003.08394v1

    • [physics.ins-det]Towards a Computer Vision Particle Flow
    Francesco Armando Di Bello, Sanmay Ganguly, Eilam Gross, Marumi Kado, Michael Pitt, Jonathan Shlomi, Lorenzo Santi
    http://arxiv.org/abs/2003.08863v1

    • [physics.soc-ph]Identification of complex network topologies through delayed mutual information
    Pierre-Alain Toupance, Bastien Chopard, Laurent Lef èvre
    http://arxiv.org/abs/2003.08792v1

    • [q-bio.BM]Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
    Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani
    http://arxiv.org/abs/2003.08447v1

    • [q-bio.BM]Site2Vec: a reference frame invariant algorithm for vector embedding of protein-ligand binding sites
    Arnab Bhadra, Kalidas Y
    http://arxiv.org/abs/2003.08149v1

    • [stat.AP]Neutron reflectometry analysis: using model-dependent methods
    Andrew R. McCluskey
    http://arxiv.org/abs/2003.08270v2

    • [stat.AP]Nonparametric estimation of variable productivity Hawkes processes
    Frederic Paik Schoenberg
    http://arxiv.org/abs/2003.08858v1

    • [stat.AP]On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict
    Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux, A. Ziemann, J. Theiler
    http://arxiv.org/abs/2003.08874v1

    • [stat.ME]Causal Simulation Experiments: Lessons from Bias Amplification
    Tyrel Stokes, Russell Steele, Ian Shrier
    http://arxiv.org/abs/2003.08449v1

    • [stat.ME]Multilevel Emulation for Stochastic Computer Models with an Application to Large Offshore Windfarms
    Jack C. Kennedy, Daniel A. Henderson, Kevin J. Wilson
    http://arxiv.org/abs/2003.08921v1

    • [stat.ML]Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
    Xiong Lyu, Mike Ludkovski
    http://arxiv.org/abs/2003.08579v1

    • [stat.ML]Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
    Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie
    http://arxiv.org/abs/2003.08533v1

    • [stat.ML]Semi-analytic approximate stability selection for correlated data in generalized linear models
    Takashi Takahashi, Yoshiyuki Kabashima
    http://arxiv.org/abs/2003.08670v1

    • [stat.ML]Teacher-Student Domain Adaptation for Biosensor Models
    Lawrence G. Phillips, David B. Grimes, Yihan Jessie Li
    http://arxiv.org/abs/2003.07896v2