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.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.DG - 微分几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ed-ph - 物理教育 physics.med-ph - 医学物理学 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction
    • [cs.AI]Modeling Contrary-to-Duty with CP-nets
    • [cs.AI]Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels
    • [cs.CE]Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework
    • [cs.CL]Cross-Lingual Adaptation Using Universal Dependencies
    • [cs.CL]ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
    • [cs.CL]Felix: Flexible Text Editing Through Tagging and Insertion
    • [cs.CL]Generating Chinese Poetry from Images via Concrete and Abstract Information
    • [cs.CL]Improving Yorùbá Diacritic Restoration
    • [cs.CL]Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    • [cs.CL]TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
    • [cs.CL]Towards Neural Machine Translation for Edoid Languages
    • [cs.CR]Attention-Based Self-Supervised Feature Learning for Security Data
    • [cs.CR]Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
    • [cs.CR]Systematic Evaluation of Privacy Risks of Machine Learning Models
    • [cs.CV]A Simple Fix for Convolutional Neural Network via Coordinate Embedding
    • [cs.CV]Adversarial Perturbations Fool Deepfake Detectors
    • [cs.CV]Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
    • [cs.CV]CRNet: Cross-Reference Networks for Few-Shot Segmentation
    • [cs.CV]Dataset Cleaning — A Cross Validation Methodology for Large Facial Datasets using Face Recognition
    • [cs.CV]Deep Line Art Video Colorization with a Few References
    • [cs.CV]Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
    • [cs.CV]DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
    • [cs.CV]Distillating Knowledge from Graph Convolutional Networks
    • [cs.CV]Do We Need Depth in State-Of-The-Art Face Authentication?
    • [cs.CV]Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
    • [cs.CV]Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery
    • [cs.CV]EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery
    • [cs.CV]Exploiting Event Cameras by Using a Network Grafting Algorithm
    • [cs.CV]FADNet: A Fast and Accurate Network for Disparity Estimation
    • [cs.CV]First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
    • [cs.CV]Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
    • [cs.CV]Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
    • [cs.CV]GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
    • [cs.CV]KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
    • [cs.CV]Know Your Surroundings: Exploiting Scene Information for Object Tracking
    • [cs.CV]Label Noise Types and Their Effects on Deep Learning
    • [cs.CV]Learning 3D Part Assembly from a Single Image
    • [cs.CV]Learning Compact Reward for Image Captioning
    • [cs.CV]Learning Object Permanence from Video
    • [cs.CV]MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
    • [cs.CV]Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition
    • [cs.CV]Multi-Scale Progressive Fusion Network for Single Image Deraining
    • [cs.CV]On Localizing a Camera from a Single Image
    • [cs.CV]Peeking into occluded joints: A novel framework for crowd pose estimation
    • [cs.CV]RN-VID: A Feature Fusion Architecture for Video Object Detection
    • [cs.CV]Real-time 3D object proposal generation and classification under limited processing resources
    • [cs.CV]Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
    • [cs.CV]Scalable learning for bridging the species gap in image-based plant phenotyping
    • [cs.CV]ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
    • [cs.CV]Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
    • [cs.CV]Spatio-Temporal Handwriting Imitation
    • [cs.CV]Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading
    • [cs.CV]Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
    • [cs.CV]Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural
    • [cs.CV]UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
    • [cs.CV]Video Object Grounding using Semantic Roles in Language Description
    • [cs.CY]An Integrated Digital Platform for Bridging Gaps between General Public, Donors, and Social Welfare Organizations Working for Street Children in Bangladesh
    • [cs.CY]Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring
    • [cs.CY]The Second Worldwide Wave of Interest in Coronavirus since the COVID-19 Outbreaks in South Korea, Italy and Iran: A Google Trends Study
    • [cs.DB]Elle: Inferring Isolation Anomalies from Experimental Observations
    • [cs.DC]SOL: Effortless Device Support for AI Frameworks without Source Code Changes
    • [cs.DC]ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference
    • [cs.DL]How do academic topics shift across altmetric sources? A case study of the research area of Big Data
    • [cs.DS]Approximate Aggregate Queries Under Additive Inequalities
    • [cs.GT]AfricaOS: Using a distributed, proposal-based, replicated state machine towards liberation from the Berlin Conference of 1885
    • [cs.IR]Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
    • [cs.IR]Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
    • [cs.IR]Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations
    • [cs.IT]A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
    • [cs.IT]Increasing Security Degree of Freedom in Multi-user and Multi-eve Systems
    • [cs.IT]Optimized Caching and Spectrum Partitioning for D2D enabled Cellular Systems with Clustered Devices
    • [cs.IT]Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition
    • [cs.LG]A Data-Efficient Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL)
    • [cs.LG]A Pitfall of Learning from User-generated Data: In-depth Analysis of Subjective Class Problem
    • [cs.LG]Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks
    • [cs.LG]Creating Synthetic Datasets via Evolution for Neural Program Synthesis
    • [cs.LG]Data-driven models and computational tools for neurolinguistics: a language technology perspective
    • [cs.LG]Defense Through Diverse Directions
    • [cs.LG]Distributional Reinforcement Learning with Ensembles
    • [cs.LG]Dynamic Narrowing of VAE Bottlenecks Using GECO and $L_0$ Regularization
    • [cs.LG]Efficient Gaussian Process Bandits by Believing only Informative Actions
    • [cs.LG]Efficient Tensor Kernel methods for sparse regression
    • [cs.LG]FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection
    • [cs.LG]G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
    • [cs.LG]Hybrid Classification and Reasoning for Image-based Constraint Solving
    • [cs.LG]Learn to Forget: User-Level Memorization Elimination in Federated Learning
    • [cs.LG]Learning End-to-End Codes for the BPSK-constrained Gaussian Wiretap Channel
    • [cs.LG]Meta Pseudo Labels
    • [cs.LG]Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection
    • [cs.LG]Model-based Asynchronous Hyperparameter Optimization
    • [cs.LG]ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
    • [cs.LG]Robust and On-the-fly Dataset Denoising for Image Classification
    • [cs.LG]Spatio-Temporal Graph Convolution for Functional MRI Analysis
    • [cs.LG]Symmetry & critical points for a model shallow neural network
    • [cs.LG]The Internet of Things as a Deep Neural Network
    • [cs.LG]Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
    • [cs.LG]Tree Index: A New Cluster Evaluation Technique
    • [cs.MA]Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
    • [cs.NE]Input representation in recurrent neural networks dynamics
    • [cs.NE]Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis
    • [cs.NE]Re-Training StyleGAN — A First Step Towards Building Large, Scalable Synthetic Facial Datasets
    • [cs.NE]Reservoir Computing with Planar Nanomagnet Arrays
    • [cs.NI]DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN
    • [cs.NI]Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems
    • [cs.NI]Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach
    • [cs.NI]Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
    • [cs.NI]Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
    • [cs.NI]Towards Fine-Grained Billing For Cloud Networking
    • [cs.RO]Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
    • [cs.RO]Demo: Closed-Loop Control over Wireless — Remotely Balancing an Inverted Pendulum on Wheels
    • [cs.RO]PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
    • [cs.RO]Risk-Aware Submodular Optimization for Multi-Robot Coordination
    • [cs.RO]RoboMem: Giving Long Term Memory to Robots
    • [cs.RO]Soft Tensegrity Systems for Planetary Landing and Exploration
    • [cs.RO]Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
    • [cs.SD]Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato
    • [cs.SE]A Systematic Mapping of Software Engineering Challenges: GHTorrent Case
    • [cs.SI]Calibrating the dynamic Huff model for business analysis using location big data
    • [cs.SI]Influence-based Community Partition with Sandwich Method for Social Networks
    • [eess.IV]Automated Detection of Cribriform Growth Patterns in Prostate Histology Images
    • [eess.IV]Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
    • [eess.IV]Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
    • [eess.IV]Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
    • [eess.IV]Learning regularization and intensity-gradient-based fidelity for single image super resolution
    • [eess.IV]Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images
    • [eess.IV]Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN
    • [eess.IV]PanNuke Dataset Extension, Insights and Baselines
    • [eess.IV]Pre-processing Image using Brightening, CLAHE and RETINEX
    • [eess.IV]TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
    • [eess.SP]Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
    • [eess.SP]Efficient Beamforming for MIMO Relaying Broadcast Channel with Imperfect Channel Estimation
    • [eess.SP]Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection
    • [eess.SP]Robust Beamforming Design for Sum Secrecy Rate Optimization in MU-MISO Networks
    • [math.DG]Hessian metric via transport information geometry
    • [math.OC]Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
    • [math.OC]Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization
    • [math.OC]Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
    • [math.PR]A universal approach to estimate the conditional variance in semimartingale limit theorems
    • [math.PR]Multivariate Matrix Mittag—Leffler distributions
    • [math.ST]Minimax optimal approaches to the label shift problem
    • [math.ST]Model Checking for Parametric Ordinary Differential Equations System
    • [physics.ed-ph]Quantifying the relationship between student enrollment patterns and student performance
    • [physics.med-ph]Registration by tracking for sequential 2D MRI
    • [q-bio.GN]Genotyping coronavirus SARS-CoV-2: methods and implications
    • [q-bio.NC]Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
    • [q-bio.PE]Boosting test-efficiency by pooled testing strategies for SARS-CoV-2
    • [q-bio.PE]Exploring the nuances of R0: Eight estimates and application to 2009 pandemic influenza
    • [q-bio.PE]Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19
    • [q-fin.RM]Towards Explainability of Machine Learning Models in Insurance Pricing
    • [quant-ph]Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
    • [stat.AP]A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies
    • [stat.AP]A time series method to analyze incidence pattern and estimate reproduction number of COVID-19
    • [stat.AP]Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
    • [stat.AP]Large-P Variable Selection in Two-Stage Models
    • [stat.AP]Predicting play calls in the National Football League using hidden Markov models
    • [stat.AP]Short-term CO2 emissions forecasting based on decomposition approaches
    • [stat.AP]spsurv: An R package for semi-parametric survival analysis
    • [stat.CO]More efficient approximation of smoothing splines via space-filling basis selection
    • [stat.ME]A Bayesian semi-parametric hybrid model for spatial extremes with unknown dependence structure
    • [stat.ME]Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
    • [stat.ME]Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
    • [stat.ME]Interaction Pursuit Biconvex Optimization
    • [stat.ME]Model selection criteria of the standard censored regression model based on the bootstrap sample augmentation mechanism
    • [stat.ME]Symbolic Computation of Tight Causal Bounds
    • [stat.ML]An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
    • [stat.ML]Generative ODE Modeling with Known Unknowns
    • [stat.ML]Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena
    • [stat.ML]Slow and Stale Gradients Can Win the Race
    • [stat.ML]Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
    • [stat.ML]Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations

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    • [cs.AI]Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction
    Vikram Krishnamurthy
    http://arxiv.org/abs/2003.10910v1

    • [cs.AI]Modeling Contrary-to-Duty with CP-nets
    Roberta Calegari, Andrea Loreggia, Emiliano Lorini, Francesca Rossi, Giovanni Sartor
    http://arxiv.org/abs/2003.10480v1

    • [cs.AI]Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels
    Chris Bamford, Simon Lucas
    http://arxiv.org/abs/2003.10520v1

    • [cs.CE]Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework
    Eduardo A. Barros de Moraes, Hadi Salehi, Mohsen Zayernouri
    http://arxiv.org/abs/2003.10975v1

    • [cs.CL]Cross-Lingual Adaptation Using Universal Dependencies
    Nasrin Taghizadeh, Heshaam Faili
    http://arxiv.org/abs/2003.10816v1

    • [cs.CL]ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
    Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
    http://arxiv.org/abs/2003.10555v1

    • [cs.CL]Felix: Flexible Text Editing Through Tagging and Insertion
    Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido
    http://arxiv.org/abs/2003.10687v1

    • [cs.CL]Generating Chinese Poetry from Images via Concrete and Abstract Information
    Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang
    http://arxiv.org/abs/2003.10773v1

    • [cs.CL]Improving Yorùbá Diacritic Restoration
    Iroro Orife, David I. Adelani, Timi Fasubaa, Victor Williamson, Wuraola Fisayo Oyewusi, Olamilekan Wah
    4191
    ab, Kola Tubosun
    http://arxiv.org/abs/2003.10564v1

    • [cs.CL]Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth
    http://arxiv.org/abs/2003.10421v1

    • [cs.CL]TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
    Elisa Gugliotta, Marco Dinarelli
    http://arxiv.org/abs/2003.09520v2

    • [cs.CL]Towards Neural Machine Translation for Edoid Languages
    Iroro Orife
    http://arxiv.org/abs/2003.10704v1

    • [cs.CR]Attention-Based Self-Supervised Feature Learning for Security Data
    I-Ta Lee, Manish Marwah, Martin Arlitt
    http://arxiv.org/abs/2003.10639v1

    • [cs.CR]Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
    Wei-Kang Fu, Yi-Shan Lin, Giovanni Campagna, De-Yi Tsai, Chun-Ting Liu, Chung-Huan Mei, Edward Y. Chang, Monica S. Lam, Shih-Wei Liao
    http://arxiv.org/abs/2003.10128v2

    • [cs.CR]Systematic Evaluation of Privacy Risks of Machine Learning Models
    Liwei Song, Prateek Mittal
    http://arxiv.org/abs/2003.10595v1

    • [cs.CV]A Simple Fix for Convolutional Neural Network via Coordinate Embedding
    Liliang Ren, Zhuonan Hao
    http://arxiv.org/abs/2003.10589v1

    • [cs.CV]Adversarial Perturbations Fool Deepfake Detectors
    Apurva Gandhi, Shomik Jain
    http://arxiv.org/abs/2003.10596v1

    • [cs.CV]Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
    Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson
    http://arxiv.org/abs/2003.10566v1

    • [cs.CV]CRNet: Cross-Reference Networks for Few-Shot Segmentation
    Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
    http://arxiv.org/abs/2003.10658v1

    • [cs.CV]Dataset Cleaning — A Cross Validation Methodology for Large Facial Datasets using Face Recognition
    Viktor Varkarakis, Peter Corcoran
    http://arxiv.org/abs/2003.10815v1

    • [cs.CV]Deep Line Art Video Colorization with a Few References
    Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang
    http://arxiv.org/abs/2003.10685v1

    • [cs.CV]Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
    Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe
    http://arxiv.org/abs/2003.10983v1

    • [cs.CV]DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
    Yizhak Ben-Shabat, Stephen Gould
    http://arxiv.org/abs/2003.10826v1

    • [cs.CV]Distillating Knowledge from Graph Convolutional Networks
    Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
    http://arxiv.org/abs/2003.10477v1

    • [cs.CV]Do We Need Depth in State-Of-The-Art Face Authentication?
    Amir Livne, Alex Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit
    http://arxiv.org/abs/2003.10895v1

    • [cs.CV]Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
    Duo Li, Qifeng Chen
    http://arxiv.org/abs/2003.10739v1

    • [cs.CV]Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery
    Jingwei Song, Jun Wang, Liang Zhao, Shoudong Huang, Gamini Dissanayake
    http://arxiv.org/abs/2003.10867v1

    • [cs.CV]EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery
    Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, Lizhuang Ma
    http://arxiv.org/abs/2003.10873v1

    • [cs.CV]Exploiting Event Cameras by Using a Network Grafting Algorithm
    Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu
    http://arxiv.org/abs/2003.10959v1

    • [cs.CV]FADNet: A Fast and Accurate Network for Disparity Estimation
    Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
    http://arxiv.org/abs/2003.10758v1

    • [cs.CV]First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
    Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
    http://arxiv.org/abs/2003.10601v1

    • [cs.CV]Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
    Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe
    http://arxiv.org/abs/2003.10656v1

    • [cs.CV]Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
    Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell Taylor, Mathias Unberath
    http://arxiv.org/abs/2003.10987v1

    • [cs.CV]GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
    Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner
    http://arxiv.org/abs/2003.10151v2

    • [cs.CV]KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
    Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan
    http://arxiv.org/abs/2003.10629v1

    • [cs.CV]Know Your Surroundings: Exploiting Scene Information for Object Tracking
    Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2003.11014v1

    • [cs.CV]Label Noise Types and Their Effects on Deep Learning
    Görkem Algan, İlkay Ulusoy
    http://arxiv.org/abs/2003.10471v1

    • [cs.CV]Learning 3D Part Assembly from a Single Image
    Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas
    http://arxiv.org/abs/2003.09754v2

    • [cs.CV]Learning Compact Reward for Image Captioning
    Nannan Li, Zhenzhong Chen
    http://arxiv.org/abs/2003.10925v1

    • [cs.CV]Learning Object Permanence from Video
    Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
    http://arxiv.org/abs/2003.10469v1

    • [cs.CV]MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
    Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu
    http://arxiv.org/abs/2003.10955v1

    • [cs.CV]Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition
    Zhongguo Li, Fan Lyu, Wei Feng, Song Wang
    http://arxiv.org/abs/2003.10663v1

    • [cs.CV]Multi-Scale Progressive Fusion Network for Single Image Deraining
    Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
    http://arxiv.org/abs/2003.10985v1

    • [cs.CV]On Localizing a Camera from a Single Image
    Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos A. M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan
    http://arxiv.org/abs/2003.10664v1

    • [cs.CV]Peeking into occluded joints: A novel framework for crowd pose estimation
    Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui
    http://arxiv.org/abs/2003.10506v1

    • [cs.CV]RN-VID: A Feature Fusion Architecture for Video Object Detection
    Hughes Perreault, Maguelonne Héritier, Pierre Gravel, Guillaume-Alexandre Bilodeau, Nicolas Saunier
    http://arxiv.org/abs/2003.10898v1

    • [cs.CV]Real-time 3D object proposal generation and classification under limited processing resources
    Xuesong Li, Jose Guivant, Subhan Khan
    http://arxiv.org/abs/2003.10670v1

    • [cs.CV]Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
    Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong
    http://arxiv.org/abs/2003.10780v1

    • [cs.CV]Scalable learning for bridging the species gap in image-based plant phenotyping
    Daniel Ward, Peyman Moghadam
    http://arxiv.org/abs/2003.10757v1

    • [cs.CV]ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
    Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman
    http://arxiv.org/abs/2003.10557v1

    • [cs.CV]Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
    Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
    http://arxiv.org/abs/2003.10211v1

    • [cs.CV]Spatio-Temporal Handwriting Imitation
    Martin Mayr, Martin Stumpf, Anguelos Nikolaou, Mathias Seuret, Andreas Maier, Vincent Christlein
    http://arxiv.org/abs/2003.10593v1

    • [cs.CV]Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading
    Lie Ju, Xin Wang, Paul Bonnington, Zongyuan Ge
    http://arxiv.org/abs/2003.10607v1

    • [cs.CV]Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
    Kedan Li, Min Jin Chong, Jingen Liu, David Forsyth
    http://arxiv.org/abs/2003.10817v1

    • [cs.CV]Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural
    Alice Yi Yang, Ling Cheng
    http://arxiv.org/abs/2003.10760v1

    • [cs.CV]UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
    Shangbang Long, Cong Yao
    http://arxiv.org/abs/2003.10608v1

    • [cs.CV]Video Object Grounding using Semantic Roles in Language Description
    Arka Sadhu, Kan Chen, Ram Nevatia
    http://arxiv.org/abs/2003.10606v1

    • [cs.CY]An Integrated Digital Platform for Bridging Gaps between General Public, Donors, and Social Welfare Organizations Working for Street Children in Bangladesh
    Alvi Md Ishmam, Md Raihan Mia, Sharmin Akhter Purabi, Rayhan Rashed, Sriram Chellappan, A. B. M Alim Al Islam
    http://arxiv.org/abs/2003.10504v1

    • [cs.CY]Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring
    Du Su, Ali Yekkehkhany, Yi Lu, Wenmiao Lu
    http://arxiv.org/abs/2003.10838v1

    • [cs.CY]The Second Worldwide Wave of Interest in Coronavirus since the COVID-19 Outbreaks in South Korea, Italy and Iran: A Google Trends Study
    Artur Strzelecki
    http://arxiv.org/abs/2003.10998v1

    • [cs.DB]Elle: Inferring Isolation Anomalies from Experimental Observations
    Kyle Kingsbury, Peter Alvaro
    http://arxiv.org/abs/2003.10554v1

    • [cs.DC]SOL: Effortless Device Support for AI Frameworks without Source Code Changes
    Nicolas Weber, Felipe Huici
    http://arxiv.org/abs/2003.10688v1

    • [cs.DC]ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference
    Jae-Won Chung, Jae-Yun Kim, Soo-Mook Moon
    http://arxiv.org/abs/2003.10735v1

    • [cs.DL]How do academic topics shift across altmetric sources? A case study of the research area of Big Data
    Xiaozan Lyu, Rodrigo Costas
    http://arxiv.org/abs/2003.10508v1

    • [cs.DS]Approximate Aggregate Queries Under Additive Inequalities
    Mahmoud Abo-Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
    http://arxiv.org/abs/2003.10588v1

    • [cs.GT]AfricaOS: Using a distributed, proposal-based, replicated state machine towards liberation from the Berlin Conference of 1885
    Jovonni L. Pharr
    http://arxiv.org/abs/2003.10486v1

    • [cs.IR]Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
    David Schindler, Benjamin Zapilko, Frank Krüger
    http://arxiv.org/abs/2003.10715v1

    • [cs.IR]Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
    Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun
    http://arxiv.org/abs/2003.10719v1

    • [cs.IR]Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations
    Dominik Kowald, Elisabeth Lex, Markus Schedl
    http://arxiv.org/abs/2003.10699v1

    • [cs.IT]A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
    Benjamin Rosen, Shane House, Shamin Achari, Ling Cheng
    http://arxiv.org/abs/2003.10808v1

    • [cs.IT]Increasing Security Degree of Freedom in Multi-user and Multi-eve Systems
    Kun Xie, Wen Chen, Lili Wei
    http://arxiv.org/abs/2003.10675v1

    • [cs.IT]Optimized Caching and Spectrum Partitioning for D2D enabled Cellular Systems with Clustered Devices
    Ramy Amer, Hesham Elsawy, M. Majid Butt, Eduard A. Jorswieck, Mehdi Bennis, Nicola Marchetti
    http://arxiv.org/abs/2003.10809v1

    • [cs.IT]Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition
    Abdullah Othman, Wessam Mesbah, Naveed Iqbal, Suhail Al-Dharrab, Ali Muqaibel, Gordon Stüber
    http://arxiv.org/abs/2003.10807v1

    • [cs.LG]A Data-Efficient Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL)
    Xue-She Wang, James D. Turner, Brian P. Mann
    http://arxiv.org/abs/2003.10976v1

    • [cs.LG]A Pitfall of Learning from User-generated Data: In-depth Analysis of Subjective Class Problem
    Kei Nemoto, Shweta Jain
    http://arxiv.org/abs/2003.10621v1

    • [cs.LG]Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks
    Hippolyte Dubois, Patrick Le Callet, Antoine Coutrot
    http://arxiv.org/abs/2003.10810v1

    • [cs.LG]Creating Synthetic Datasets via Evolution for Neural Program Synthesis
    Alexander Suh, Yuval Timen
    http://arxiv.org/abs/2003.10485v1

    • [cs.LG]Data-driven models and computational tools for neurolinguistics: a language technology perspective
    Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev
    http://arxiv.org/abs/2003.10540v1

    • [cs.LG]Defense Through Diverse Directions
    Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva
    http://arxiv.org/abs/2003.10602v1

    • [cs.LG]Distributional Reinforcement Learning with Ensembles
    Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl
    http://arxiv.org/abs/2003.10903v1

    • [cs.LG]Dynamic Narrowing of VAE Bottlenecks Using GECO and $L_0$ Regularization
    Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
    http://arxiv.org/abs/2003.10901v1

    • [cs.LG]Efficient Gaussian Process Bandits by Believing only Informative Actions
    Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel
    http://arxiv.org/abs/2003.10550v1

    • [cs.LG]Efficient Tensor Kernel methods for sparse regression
    Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil
    http://arxiv.org/abs/2003.10482v1

    • [cs.LG]FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection
    Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
    http://arxiv.org/abs/2003.10637v1

    • [cs.LG]G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
    Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed Ghalwash, Li-wei H. Lehman
    http://arxiv.org/abs/2003.10551v1

    • [cs.LG]Hybrid Classification and Reasoning for Image-based Constraint Solving
    Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns
    http://arxiv.org/abs/2003.11001v1

    • [cs.LG]Learn to Forget: User-Level Memorization Elimination in Federated Learning
    Yang Liu, Zhuo Ma, Ximeng Liu, Jianfeng Ma
    http://arxiv.org/abs/2003.10933v1

    • [cs.LG]Learning End-to-End Codes for the BPSK-constrained Gaussian Wiretap Channel
    Alireza Nooraiepour, Sina Rezaei Aghdam
    http://arxiv.org/abs/2003.10577v1

    • [cs.LG]Meta Pseudo Labels
    Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le
    http://arxiv.org/abs/2003.10580v1

    • [cs.LG]Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection
    Y. Wu, Y. Balaji, B. Vinzamuri, S. Feizi
    http://arxiv.org/abs/2003.10713v1

    • [cs.LG]Model-based Asynchronous Hyperparameter Optimization
    Louis C. Tiao, Aaron Klein, Cedric Archambeau, Matthias Seeger
    http://arxiv.org/abs/2003.10865v1

    • [cs.LG]ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
    Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
    http://arxiv.org/abs/2003.10536v1

    • [cs.LG]Robust and On-the-fly Dataset Denoising for Image Classification
    Jiaming Song, Lunjia Hu, Yann Dauphin, Michael Auli, Tengyu Ma
    http://arxiv.org/abs/2003.10647v1

    • [cs.LG]Spatio-Temporal Graph Convolution for Functional MRI Analysis
    Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
    http://arxiv.org/abs/2003.10613v1

    • [cs.LG]Symmetry & critical points for a model shallow neural network
    Yossi Arjevani, Michael Field
    http://arxiv.org/abs/2003.10576v1

    • [cs.LG]The Internet of Things as a Deep Neural Network
    Rong Du, Sindri Magnússon, Carlo Fischione
    http://arxiv.org/abs/2003.10538v1

    • [cs.LG]Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
    Piyush Gupta, Demetris Coleman, Joshua E. Siegel
    http://arxiv.org/abs/2003.10662v1

    • [cs.LG]Tree Index: A New Cluster Evaluation Technique
    A. H. Beg, Md Zahidul Islam, Vladimir Estivill-Castro
    http://arxiv.org/abs/2003.10841v1

    • [cs.MA]Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
    Hassam Ullah Sheikh, Ladislau Bölöni
    http://arxiv.org/abs/2003.10598v1

    • [cs.NE]Input representation in recurrent neural networks dynamics
    Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino
    http://arxiv.org/abs/2003.10585v1

    • [cs.NE]Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis
    Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera
    http://arxiv.org/abs/2003.10768v1

    • [cs.NE]Re-Training StyleGAN — A First Step Towards Building Large, Scalable Synthetic Facial Datasets
    Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran
    http://arxiv.org/abs/2003.10847v1

    • [cs.NE]Reservoir Computing with Planar Nanomagnet Arrays
    Peng Zhou, Nathan R. McDonald, Alexander J. Edwards, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman
    http://arxiv.org/abs/2003.10948v1

    • [cs.NI]DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN
    Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu
    http://arxiv.org/abs/2003.10643v1

    • [cs.NI]Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems
    Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe
    http://arxiv.org/abs/2003.10783v1

    • [cs.NI]Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach
    Zhipeng Liu, Yinhui Han, Jianwei Fan, Lin Zhang, Yunzhi Lin
    http://arxiv.org/abs/2003.10620v1

    • [cs.NI]Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
    F. AL-Tam, N. Correia, J. Rodriguez
    http://arxiv.org/abs/2003.11003v1

    • [cs.NI]Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
    Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao, Makoto Morishita, Masaaki Nishino, Yoichi Matsuo, Keishiro Watanabe
    http://arxiv.org/abs/2003.10784v1

    • [cs.NI]Towards Fine-Grained Billing For Cloud Networking
    Kashyap Thimmaraju, Stefan Schmid
    http://arxiv.org/abs/2003.10745v1

    • [cs.RO]Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
    Omar Bouhamed, Hakim Ghazzai, Hichem Besbes, Yehia Massoud
    http://arxiv.org/abs/2003.10923v1

    • [cs.RO]Demo: Closed-Loop Control over Wireless — Remotely Balancing an Inverted Pendulum on Wheels
    Aleksandar Stanoev, Adnan Aijaz, Anthony Portelli, Michael Baddeley
    http://arxiv.org/abs/2003.10571v1

    • [cs.RO]PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
    Ignacio Torroba, Christopher Iliffe Sprague, Nils Bore, John Folkesson
    http://arxiv.org/abs/2003.10931v1

    • [cs.RO]Risk-Aware Submodular Optimization for Multi-Robot Coordination
    Lifeng Zhou, Pratap Tokekar
    http://arxiv.org/abs/2003.10492v1

    • [cs.RO]RoboMem: Giving Long Term Memory to Robots
    Ifrah Idrees, Steven P. Reiss, Stefanie Tellex
    http://arxiv.org/abs/2003.10553v1

    • [cs.RO]Soft Tensegrity Systems for Planetary Landing and Exploration
    Kévin Garanger, Isaac del Valle, Miriam Rath, Matthew Krajewski, Utkarsh Raheja, Marco Pavone, Julian J. Rimoli
    http://arxiv.org/abs/2003.10999v1

    • [cs.RO]Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
    Sang Hun Cheong, Brian Y. Cho, Jinhwi Lee, ChangHwan Kim, Changjoo Nam
    http://arxiv.org/abs/2003.10863v1

    • [cs.SD]Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato
    Maxim Vashkevich, Alexander Petrovsky, Yuliya Rushkevich
    http://arxiv.org/abs/2003.10806v1

    • [cs.SE]A Systematic Mapping of Software Engineering Challenges: GHTorrent Case
    Abdulkadir Seker, Banu Diri, Halil Arslan, Mehmet Fatih Amasyalı
    http://arxiv.org/abs/2003.10750v1

    • [cs.SI]Calibrating the dynamic Huff model for business analysis using location big data
    Yunlei Liang, Song Gao, Yuxin Cai, Natasha Zhang Foutz, Lei Wu
    http://arxiv.org/abs/2003.10857v1

    • [cs.SI]Influence-based Community Partition with Sandwich Method for Social Networks
    Qiufen Ni, Jianxiong Guo, Chuanhe Huang, Weili Wu
    http://arxiv.org/abs/2003.10439v1

    • [eess.IV]Automated Detection of Cribriform Growth Patterns in Prostate Histology Images
    Pierre Ambrosini, Eva Hollemans, Charlotte F. Kweldam, Geert J. L. H. van Leenders, Sjoerd Stallinga, Frans Vos
    http://arxiv.org/abs/2003.10543v1

    • [eess.IV]Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
    Ali Narin, Ceren Kaya, Ziynet Pamuk
    http://arxiv.org/abs/2003.10849v1

    • [eess.IV]Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
    Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, Paul Bonnington, Tom Drummond, Zongyuan Ge
    http://arxiv.org/abs/2003.10042v2

    • [eess.IV]Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
    Biraja Ghoshal, Allan Tucker
    http://arxiv.org/abs/2003.10769v1

    • [eess.IV]Learning regularization and intensity-gradient-based fidelity for single image super resolution
    Hu Liang, Shengrong Zhao
    http://arxiv.org/abs/2003.10689v1

    • [eess.IV]Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images
    Josue Page, Federico Saltarin, Yury Belyaev, Ruth Lyck, Paolo Favaro
    http://arxiv.org/abs/2003.11004v1

    • [eess.IV]Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN
    Chenglong Wang, Masahiro Oda, Kensaku Mori
    http://arxiv.org/abs/2003.10690v1

    • [eess.IV]PanNuke Dataset Extension, Insights and Baselines
    Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot
    http://arxiv.org/abs/2003.10778v1

    • [eess.IV]Pre-processing Image using Brightening, CLAHE and RETINEX
    Thi Phuoc Hanh Nguyen, Zinan Cai, Khanh Nguyen, Sokuntheariddh Keth, Ningyuan Shen, Mira Park
    http://arxiv.org/abs/2003.10822v1

    • [eess.IV]TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
    Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
    http://arxiv.org/abs/2003.10751v1

    • [eess.SP]Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
    R. E. Rolon, I. E. Gareis, L. D. Larrateguy, L. E. Di Persia, R. D. Spies, H. L. Rufiner
    http://arxiv.org/abs/2003.09920v2

    • [eess.SP]Efficient Beamforming for MIMO Relaying Broadcast Channel with Imperfect Channel Estimation
    Zijian Wang, Wen Chen, Jun Li
    http://arxiv.org/abs/2003.09922v1

    • [eess.SP]Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection
    Zijian Wang, Wen Chen
    http://arxiv.org/abs/2003.09923v1

    • [eess.SP]Robust Beamforming Design for Sum Secrecy Rate Optimization in MU-MISO Networks
    Pu Zhao, Meng Zhang, Hui Yu, Hanwen Luo, Wen Chen
    http://arxiv.org/abs/2003.10676v1

    • [math.DG]Hessian metric via transport information geometry
    Wuchen Li
    http://arxiv.org/abs/2003.10526v1

    • [math.OC]Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
    Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg
    http://arxiv.org/abs/2003.10973v1

    • [math.OC]Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization
    Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
    http://arxiv.org/abs/2003.10615v1

    • [math.OC]Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
    Connor Riley, Pascal Van Hentenryck, Enpeng Yuan
    http://arxiv.org/abs/2003.10942v1

    • [math.PR]A universal approach to estimate the conditional variance in semimartingale limit theorems
    Mathias Vetter
    http://arxiv.org/abs/2003.10703v1

    • [math.PR]Multivariate Matrix Mittag—Leffler distributions
    Hansjoerg Albrecher, Martin Bladt, Mogens Bladt
    http://arxiv.org/abs/2003.10517v1

    • [math.ST]Minimax optimal approaches to the label shift problem
    Subha Maity, Yuekai Sun, Moulinath Banerjee
    http://arxiv.org/abs/2003.10443v1

    • [math.ST]Model Checking for Parametric Ordinary Differential Equations System
    Ran Liu, Yun Fang, Lixing Zhu
    http://arxiv.org/abs/2003.10844v1

    • [physics.ed-ph]Quantifying the relationship between student enrollment patterns and student performance
    Shahab Boumi, Adan Vela, Jacquelyn Chini
    http://arxiv.org/abs/2003.10874v1

    • [physics.med-ph]Registration by tracking for sequential 2D MRI
    Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
    http://arxiv.org/abs/2003.10819v1

    • [q-bio.GN]Genotyping coronavirus SARS-CoV-2: methods and implications
    Changchuan Yin
    http://arxiv.org/abs/2003.10965v1

    • [q-bio.NC]Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
    Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
    http://arxiv.org/abs/2003.11013v1

    • [q-bio.PE]Boosting test-efficiency by pooled testing strategies for SARS-CoV-2
    Rudolf Hanel, Stefan Thurner
    http://arxiv.org/abs/2003.09944v1

    • [q-bio.PE]Exploring the nuances of R0: Eight estimates and application to 2009 pandemic influenza
    Shannon Gallagher, Andersen Chang, William F. Eddy
    http://arxiv.org/abs/2003.10442v1

    • [q-bio.PE]Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19
    Lionel Roques, Etienne Klein, Julien Papaix, Samuel Soubeyrand
    http://arxiv.org/abs/2003.10720v1

    • [q-fin.RM]Towards Explainability of Machine Learning Models in Insurance Pricing
    Kevin Kuo, Daniel Lupton
    http://arxiv.org/abs/2003.10674v1

    • [quant-ph]Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
    Naoko Koide-Majima, Kei Majima
    http://arxiv.org/abs/2003.10667v1

    • [stat.AP]A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies
    Yue Wei, Jason C. Hsu, Wei Chen, Emily Y. Chew, Ying Ding
    http://arxiv.org/abs/2003.10528v1

    • [stat.AP]A time series method to analyze incidence pattern and estimate reproduction number of COVID-19
    Soudeep Deb, Manidipa Majumdar
    http://arxiv.org/abs/2003.10655v1

    • [stat.AP]Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak
    Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma
    http://arxiv.org/abs/2003.10776v1

    • [stat.AP]Large-P Variable Selection in Two-Stage Models
    Haim Bar, Kangyan Liu
    http://arxiv.org/abs/2003.10484v1

    • [stat.AP]Predicting play calls in the National Football League using hidden Markov models
    Marius Ötting
    http://arxiv.org/abs/2003.10791v1

    • [stat.AP]Short-term CO2 emissions forecasting based on decomposition approaches
    Neeraj Bokde, Bo Tranberg, Gorm Bruun Andresen
    http://arxiv.org/abs/2003.10868v1

    • [stat.AP]spsurv: An R package for semi-parametric survival analysis
    Renato Valladares Panaro
    http://arxiv.org/abs/2003.10548v1

    • [stat.CO]More efficient approximation of smoothing splines via space-filling basis selection
    Cheng Meng, Xinlian Zhang, Jingyi Zhang, Wenxuan Zhong, Ping Ma
    http://arxiv.org/abs/2003.10609v1

    • [stat.ME]A Bayesian semi-parametric hybrid model for spatial extremes with unknown dependence structure
    Yuan Tian, Brian J. Reich
    http://arxiv.org/abs/2003.10592v1

    • [stat.ME]Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
    Ninna Vihrs, Jesper Møller, Alan E. Gelfand
    http://arxiv.org/abs/2003.10490v1

    • [stat.ME]Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
    Jieying Jiao, Guanyu Hu, Jun Yan
    http://arxiv.org/abs/2003.10043v2

    • [stat.ME]Interaction Pursuit Biconvex Optimization
    Yuehan Yang, Siwei Xia, Hu Yang
    http://arxiv.org/abs/2003.10793v1

    • [stat.ME]Model selection criteria of the standard censored regression model based on the bootstrap sample augmentation mechanism
    Yue Su, Patrick Kandege Mwanakatwe
    http://arxiv.org/abs/2003.10726v1

    • [stat.ME]Symbolic Computation of Tight Causal Bounds
    Michael C Sachs, Erin E Gabriel, Arvid Sjölander
    http://arxiv.org/abs/2003.10702v1

    • [stat.ML]An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
    Yunfeng Cai, Ping Li
    http://arxiv.org/abs/2003.10897v1

    • [stat.ML]Generative ODE Modeling with Known Unknowns
    Ori Linial, Danny Eytan, Uri Shalit
    http://arxiv.org/abs/2003.10775v1

    • [stat.ML]Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena
    Matt Emschwiller, David Gamarnik, Eren C. Kızıldağ, Ilias Zadik
    http://arxiv.org/abs/2003.10523v1

    • [stat.ML]Slow and Stale Gradients Can Win the Race
    Sanghamitra Dutta, Jianyu Wang, Gauri Joshi
    http://arxiv.org/abs/2003.10579v1

    • [stat.ML]Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
    Yunfeng Cai, Ping Li
    http://arxiv.org/abs/2003.10992v1

    • [stat.ML]Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
    Xiaolei Li, Wenhua Song, Dazhi Gao, Wei Gao, Haozhong Wan

    http://arxiv.org/abs/2003.10661v1