cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.soc-ph - 物理学与社会 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Cross Lingual Cross Corpus Speech Emotion Recognition
    • [cs.AI]Finding Fair and Efficient Allocations When Valuations Don’t Add Up
    • [cs.AI]From Statistical Relational to Neuro-Symbolic Artificial Intelligence
    • [cs.AI]Modeling and solving a vehicle-sharing problem
    • [cs.AI]Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
    • [cs.CL]Calibration of Pre-trained Transformers
    • [cs.CL]Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
    • [cs.CL]Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
    • [cs.CL]Gender Representation in Open Source Speech Resources
    • [cs.CL]Key Phrase Classification in Complex Assignments
    • [cs.CL]Offensive Language Identification in Greek
    • [cs.CL]Pre-trained Models for Natural Language Processing: A Survey
    • [cs.CL]Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
    • [cs.CL]TTTTTackling WinoGrande Schemas
    • [cs.CL]Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
    • [cs.CL]X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
    • [cs.CR]Survey of Privacy-Preserving Collaborative Filtering
    • [cs.CR]Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
    • [cs.CV]3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels
    • [cs.CV]3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images
    • [cs.CV]A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
    • [cs.CV]A Dynamic Reduction Network for Point Clouds
    • [cs.CV]A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations
    • [cs.CV]AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
    • [cs.CV]An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
    • [cs.CV]An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation
    • [cs.CV]Applying r-spatiogram in object tracking for occlusion handling
    • [cs.CV]BrazilDAM: A Benchmark dataset for Tailings Dam Detection
    • [cs.CV]Breast Cancer Detection Using Convolutional Neural Networks
    • [cs.CV]CAFENet: Class-Agnostic Few-Shot Edge Detection Network
    • [cs.CV]Capsule GAN Using Capsule Network for Generator Architecture
    • [cs.CV]Collaborative Video Object Segmentation by Foreground-Background Integration
    • [cs.CV]Constraints in Developing a Complete Bengali Optical Character Recognition System
    • [cs.CV]Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
    • [cs.CV]DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
    • [cs.CV]Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
    • [cs.CV]Deep connections between learning from limited labels & physical parameter estimation — inspiration for regularization
    • [cs.CV]DeepCap: Monocular Human Performance Capture Using Weak Supervision
    • [cs.CV]Detection of Pitt-Hopkins Syndrome based on morphological facial features
    • [cs.CV]Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
    • [cs.CV]Estimation of Orofacial Kinematics in Parkinson’s Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
    • [cs.CV]Event Probability Mask (EPM) and Event Denoising Convolutional NeuralNetwork (EDnCNN) for Neuromorphic Cameras
    • [cs.CV]Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
    • [cs.CV]Fixing the train-test resolution discrepancy: FixEfficientNet
    • [cs.CV]Generalizing Face Representation with Unlabeled Data
    • [cs.CV]Getting to 99% Accuracy in Interactive Segmentation
    • [cs.CV]Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images
    • [cs.CV]High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
    • [cs.CV]In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization
    • [cs.CV]LRC-Net: Learning Discriminative Features on Point Clouds by EncodingLocal Region Contexts
    • [cs.CV]Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
    • [cs.CV]MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
    • [cs.CV]Multi-View Optimization of Local Feature Geometry
    • [cs.CV]Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
    • [cs.CV]Multimodal Shape Completion via Conditional Generative Adversarial Networks
    • [cs.CV]Neural Mesh Refiner for 6-DoF Pose Estimation
    • [cs.CV]Object-Based Image Coding: A Learning-Driven Revisit
    • [cs.CV]OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems
    • [cs.CV]On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
    • [cs.CV]OpenGAN: Open Set Generative Adversarial Networks
    • [cs.CV]Optimal Image Smoothing and Its Applications in Anomaly Detection in Remote Sensing
    • [cs.CV]PIC: Permutation Invariant Convolution for Recognizing Long-range Activities
    • [cs.CV]Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
    • [cs.CV]Rethinking Object Detection in Retail Stores
    • [cs.CV]Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
    • [cs.CV]STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
    • [cs.CV]ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images
    • [cs.CV]Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
    • [cs.CV]Scene Text Recognition via Transformer
    • [cs.CV]Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture
    • [cs.CV]Sequential Forecasting of 100,000 Points
    • [cs.CV]SwapText: Image Based Texts Transfer in Scenes
    • [cs.CV]Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
    • [cs.CV]Transformer Networks for Trajectory Forecasting
    • [cs.CV]Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification
    • [cs.CV]Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
    • [cs.CV]Watching the World Go By: Representation Learning from Unlabeled Videos
    • [cs.CY]Forecasting Crime Using ARIMA Model
    • [cs.CY]The Future of Digital Health with Federated Learning
    • [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.DC]ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases
    • [cs.DC]Cross Architectural Power Modelling
    • [cs.DC]On the Analysis of Parallel Real-Time Tasks with Spin Locks
    • [cs.DL]Prevalence of Potentially Predatory Publishing in Scopus on the Country Level
    • [cs.IR]Can AI decrypt fashion jargon for you?
    • [cs.IR]Overview of the TREC 2019 deep learning track
    • [cs.IR]Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
    • [cs.IT]A Single-RF Architecture for Multiuser Massive MIMO via Reflecting Surfaces
    • [cs.IT]Age of Information for Multicast Transmission with Fixed and Random Deadlines in IoT Systems
    • [cs.IT]Localization Efficiency in Massive MIMO Systems
    • [cs.IT]Random Access based Reliable Uplink Communication and Power Transfer using Dynamic Power Splitting
    • [cs.LG]A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
    • [cs.LG]Adversarial Transferability in Wearable Sensor Systems
    • [cs.LG]Anchor & Transform: Learning Sparse Representations of Discrete Objects
    • [cs.LG]Bootstrap Bias Corrected Cross Validation applied to Super Learning
    • [cs.LG]Compressed Sensing with Invertible Generative Models and Dependent Noise
    • [cs.LG]Deep Quaternion Features for Privacy Protection
    • [cs.LG]Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
    • [cs.LG]Efficient improper learning for online logistic regression
    • [cs.LG]Federated Visual Classification with Real-World Data Distribution
    • [cs.LG]Few-Shot Graph Classification with Model Agnostic Meta-Learning
    • [cs.LG]Generating Electronic Health Records with Multiple Data Types and Constraints
    • [cs.LG]Improving predictions by nonlinear regression models from outlying input data
    • [cs.LG]Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $\ell_1$-$\ell_1$ Minimization: Architecture Design and Generalization Analysis
    • [cs.LG]ParKCa: Causal Inference with Partially Known Causes
    • [cs.LG]Self-Supervised Log Parsing
    • [cs.LG]Stable Neural Flows
    • [cs.LG]SurvLIME: A method for explaining machine learning survival models
    • [cs.LG]Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
    • [cs.LG]The Value of Nullspace Tuning Using Partial Label Information
    • [cs.LG]Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
    • [cs.NE]Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP
    • [cs.NE]Neuroevolution of Self-Interpretable Agents
    • [cs.NI]SOM-based DDoS Defense Mechanism using SDN for the Internet of Things
    • [cs.RO]Accelerated ADMM based Trajectory Optimization for Legged Locomotion with Coupled Rigid Body Dynamics
    • [cs.RO]Aerial Manipulation using Model Predictive Control for Opening a Hinged Door
    • [cs.RO]CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
    • [cs.RO]Ford Multi-AV Seasonal Dataset
    • [cs.RO]Inferring the Material Properties of Granular Media for Robotic Tasks
    • [cs.RO]The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation
    • [cs.SD]Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
    • [cs.SI]A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
    • [cs.SI]Analysis of ResearchGate, A Community Detection Approach
    • [cs.SI]Network disruption: maximizing disagreement and polarization in social networks
    • [cs.SI]The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify
    • [cs.SI]Tracking COVID-19 using online search
    • [econ.GN]NISE Estimation of an Economic Model of Crime
    • [eess.AS]Deliberation Model Based Two-Pass End-to-End Speech Recognition
    • [eess.IV]3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
    • [eess.IV]Assessing Robustness to Noise: Low-Cost Head CT Triage
    • [eess.IV]Identification and Classification of Phenomena in Multispectral Satellite Imagery Using a New Image Smoother Method and its Applications in Environmental Remote Sensing
    • [eess.IV]Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors
    • [eess.IV]Weakly Supervised PET Tumor Detection UsingClass Response
    • [eess.SP]Deep Convolutional Neural Network Model for Short-Term Electricity Price Forecasting
    • [eess.SP]Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
    • [eess.SP]Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm
    • [eess.SP]Real-World Considerations for Deep Learning in Wireless Signal Identification Based on Spectral Correlation Function
    • [eess.SP]Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization
    • [eess.SP]Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems
    • [math.DS]High-Confidence Attack Detection via Wasserstein-Metric Computations
    • [math.OC]From Sensor to Processing Networks: Optimal Estimation with Computation and Communication Latency
    • [math.OC]Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method
    • [math.ST]A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix
    • [math.ST]Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
    • [math.ST]Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions
    • [math.ST]On Symmetrized Pearson’s Type Test in Autoregression with Outliers: Robust Testing of Normality
    • [math.ST]Tail Bounds for Matrix Quadratic Forms and Bias Adjusted Spectral Clustering in Multi-layer Stochastic Block Models
    • [nlin.AO]Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
    • [physics.soc-ph]How social feedback processing in the brain shapes collective opinion processes in the era of social media
    • [q-fin.ST]Low-volatility Anomaly and the Adaptive Multi-Factor Model
    • [stat.AP]Epilocal: a real-time tool for local epidemic monitoring
    • [stat.AP]Modeling of Multisite Precipitation Occurrences Using Latent Gaussian-based Multivariate Binary Response Time Series
    • [stat.AP]Neutron reflectometry analysis: using model-dependent methods
    • [stat.CO]Data-Driven Forward Discretizations for Bayesian Inversion
    • [stat.ME]$R^*$: A robust MCMC convergence diagnostic with uncertainty using gradient-boosted machines
    • [stat.ME]Gaussian process aided function comparison using noisy scattered data
    • [stat.ME]Nearest Neighbor Dirichlet Process
    • [stat.ML]Logistic-Regression with peer-group effects via inference in higher order Ising models
    • [stat.ML]Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
    • [stat.ML]Teacher-Student Domain Adaptation for Biosensor Models

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    • [cs.AI]Cross Lingual Cross Corpus Speech Emotion Recognition
    Shivali Goel, Homayoon Beigi
    http://arxiv.org/abs/2003.07996v1

    • [cs.AI]Finding Fair and Efficient Allocations When Valuations Don’t Add Up
    Nawal Benabbou, Mithun Chakraborty, Ayumi Igarashi, Yair Zick
    http://arxiv.org/abs/2003.07060v2

    • [cs.AI]From Statistical Relational to Neuro-Symbolic Artificial Intelligence
    Luc De Raedt, Sebastijan Dumančić, Robin Manhaeve, Giuseppe Marra
    http://arxiv.org/abs/2003.08316v1

    • [cs.AI]Modeling and solving a vehicle-sharing problem
    Miriam Enzi, Sophie N. Parragh, David Pisinger
    http://arxiv.org/abs/2003.08207v1

    • [cs.AI]Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
    Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li
    http://arxiv.org/abs/2003.08001v1

    • [cs.CL]Calibration of Pre-trained Transformers
    Shrey Desai, Greg Durrett
    http://arxiv.org/abs/2003.07892v1

    • [cs.CL]Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
    David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow
    http://arxiv.org/abs/2003.08370v1

    • [cs.CL]Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
    David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow
    http://arxiv.org/abs/org/abs/2003.08370v1

    • [cs.CL]Gender Representation in Open Source Speech Resources
    Mahault Garnerin, Solange Rossato, Laurent Besacier
    http://arxiv.org/abs/2003.08132v1

    • [cs.CL]Key Phrase Classification in Complex Assignments
    Manikandan Ravikiran
    http://arxiv.org/abs/rg/abs/2003.07019v1

    • [cs.CL]Offensive Language Identification in Greek
    Zeses Pitenis, Marcos Zampieri, Tharindu Ranasinghe
    http://arxiv.org/abs/2003.07459v2

    • [cs.CL]Pre-trained Models for Natural Language Processing: A Survey
    Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang
    http://arxiv.org/abs/2003.08271v1

    • [cs.CL]Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
    Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li
    http://arxiv.org/abs/2003.08004v1

    • [cs.CL]TTTTTackling WinoGrande Schemas
    Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
    http://arxiv.org/abs/2003.08380v1

    • [cs.CL]Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
    Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, Vera Demberg
    http://arxiv.org/abs/2003.08272v1

    • [cs.CL]X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
    Jannis Vamvas, Rico Sennrich
    http://arxiv.org/abs/2003.08385v1

    • [cs.CR]Survey of Privacy-Preserving Collaborative Filtering
    Islam Elnabarawy, Wei Jiang, Donald C. Wunsch II
    http://arxiv.org/abs/2003.08343v1

    • [cs.CR]Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
    Yue Wang, Esha Sarkar, Michail Maniatakos, Saif Eddin Jabari
    http://arxiv.org/abs/2003.07859v1

    • [cs.CV]3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels
    Qi Zhang, Antoni B. Chan
    http://arxiv.org/abs/2003.08162v1

    • [cs.CV]3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images
    Cheryl Sital, Tom Brosch, Dominique Tio, Alexander Raaijmakers, Jürgen Weese
    http://arxiv.org/abs/2003.07923v1

    • [cs.CV]A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
    Chen Zhang, Xiaobo Lu, Zhiliang Huang
    http://arxiv.org/abs/2003.08134v1

    • [cs.CV]A Dynamic Reduction Network for Point Clouds
    Lindsey Gray, Thomas Klijnsma, Shamik Ghosh
    http://arxiv.org/abs/2003.08013v1

    • [cs.CV]A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations
    Karim Makki, Amine Bohi, Augustin C. Ogier, Marc-Emmanuel Bellemare
    http://arxiv.org/abs/2003.08332v1

    • [cs.CV]AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
    Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang
    http://arxiv.org/abs/2003.08002v1

    • [cs.CV]An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
    Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula Mougiakakou
    http://arxiv.org/abs/2003.08273v1

    • [cs.CV]An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation
    Matheus Barros Pereira, Jefersson Alex dos Santos
    http://arxiv.org/abs/2003.07955v1

    • [cs.CV]Applying r-spatiogram in object tracking for occlusion handling
    Niloufar Salehi Dastjerdi, M. Omair Ahmad
    http://arxiv.org/abs/2003.08021v1

    • [cs.CV]BrazilDAM: A Benchmark dataset for Tailings Dam Detection
    Edemir Ferreira, Matheus Brito, Remis Balaniuk, Mário S. Alvim, Jefersson A. dos Santos
    http://arxiv.org/abs/2003.07948v1

    • [cs.CV]Breast Cancer Detection Using Convolutional Neural Networks
    Simon Hadush, Yaecob Girmay, Abiot Sinamo, Gebrekirstos Hagos
    http://arxiv.org/abs/2003.07911v1

    • [cs.CV]CAFENet: Class-Agnostic Few-Shot Edge Detection Network
    Young-Hyun Park, Jun Seo, Jaekyun Moon
    http://arxiv.org/abs/2003.08235v1

    • [cs.CV]Capsule GAN Using Capsule Network for Generator Architecture
    Kanako Marusaki, Hiroshi Watanabe
    http://arxiv.org/abs/2003.08047v1

    • [cs.CV]Collaborative Video Object Segmentation by Foreground-Background Integration
    Zongxin Yang, Yunchao Wei, Yi Yang
    http://arxiv.org/abs/2003.08333v1

    • [cs.CV]Constraints in Developing a Complete Bengali Optical Character Recognition System
    Abu Saleh Md. Abir, Sanjana Rahman, Samia Ellin, Maisha Farzana, Md Hridoy Manik, Chowdhury Rafeed Rahman
    http://arxiv.org/abs/2003.08384v1

    • [cs.CV]Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
    Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
    http://arxiv.org/abs/2003.08264v1

    • [cs.CV]DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
    Ye Yuan, Kris Kitani
    http://arxiv.org/abs/2003.08386v1

    • [cs.CV]Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
    Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei
    http://arxiv.org/abs/2003.08061v1

    • [cs.CV]Deep connections between learning from limited labels & physical parameter estimation — inspiration for regularization
    Bas Peters
    http://arxiv.org/abs/2003.07908v1

    • [cs.CV]DeepCap: Monocular Human Performance Capture Using Weak Supervision
    Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
    http://arxiv.org/abs/2003.08325v1

    • [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/2003.08229v1

    • [cs.CV]Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
    Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerior Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Honghui Shi
    http://arxiv.org/abs/2003.08040v1

    • [cs.CV]Estimation of Orofacial Kinematics in Parkinson’s Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
    Diego L. Guarin, Aidan Dempster, Andrea Bandini, Yana Yunusova, Babak Taati
    http://arxiv.org/abs/2003.08048v1

    • [cs.CV]Event Probability Mask (EPM) and Event Denoising Convolutional NeuralNetwork (EDnCNN) for Neuromorphic Cameras
    R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa
    http://arxiv.org/abs/2003.08282v1

    • [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/2003.08024v1

    • [cs.CV]Fixing the train-test resolution discrepancy: FixEfficientNet
    Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou
    http://arxiv.org/abs/2003.08237v1

    • [cs.CV]Generalizing Face Representation with Unlabeled Data
    Yichun Shi, Anil K. Jain
    http://arxiv.org/abs/2003.07936v1

    • [cs.CV]Getting to 99% Accuracy in Interactive Segmentation
    Marco Forte, Brian Price, Scott Cohen, Ning Xu, François Pitié
    http://arxiv.org/abs/2003.07932v1

    • [cs.CV]Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images
    Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu
    http://arxiv.org/abs/2003.07999v1

    • [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, ErjinZhou, Jian Sun
    http://arxiv.org/abs/2003.08177v1

    • [cs.CV]In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization
    Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots
    http://arxiv.org/abs/2003.08375v1

    • [cs.CV]LRC-Net: Learning Discriminative Features on Point Clouds by EncodingLocal Region Contexts
    Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker
    http://arxiv.org/abs/2003.08240v1

    • [cs.CV]Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
    Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
    http://arxiv.org/abs/2003.08367v1

    • [cs.CV]MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
    Shuai Wang, Fan Lyu, Wei Feng, Song Wang
    http://arxiv.org/abs/2003.08027v1

    • [cs.CV]Multi-View Optimization of Local Feature Geometry
    Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys
    http://arxiv.org/abs/2003.08348v1

    • [cs.CV]Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
    Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao
    http://arxiv.org/abs/2003.08069v1

    • [cs.CV]Multimodal Shape Completion via Conditional Generative Adversarial Networks
    Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen
    http://arxiv.org/abs/2003.07717v2

    • [cs.CV]Neural Mesh Refiner for 6-DoF Pose Estimation
    Di Wu, Yihao Chen, Xianbiao Qi, Yuyong Jian, Weixuan Chen, Rong Xiao
    http://arxiv.org/abs/2003.07561v2

    • [cs.CV]Object-Based Image Coding: A Learning-Driven Revisit
    Qi Xia, Haojie Liu, Zhan Ma
    http://arxiv.org/abs/2003.08033v1

    • [cs.CV]OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems
    Changhee Won, Hochang Seok, Zhaopeng Cui, Marc Pollefeys, Jongwoo Lim
    http://arxiv.org/abs/2003.08056v1

    • [cs.CV]On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
    Kyle Wilson, David Bindel
    http://arxiv.org/abs/2003.08310v1

    • [cs.CV]OpenGAN: Open Set Generative Adversarial Networks
    Luke Ditria, Benjamin J. Meyer, Tom Drummond
    http://arxiv.org/abs/2003.08074v1

    • [cs.CV]Optimal Image Smoothing and Its Applications in Anomaly Detection in Remote Sensing
    M. Kiani
    http://arxiv.org/abs/2003.08210v1

    • [cs.CV]PIC: Permutation Invariant Convolution for Recognizing Long-range Activities
    Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders
    http://arxiv.org/abs/2003.08275v1

    • [cs.CV]Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
    Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao
    http://arxiv.org/abs/2003.07603v2

    • [cs.CV]Rethinking Object Detection in Retail Stores
    Yuanqiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang, Pengfei Zhu
    http://arxiv.org/abs/2003.08230v1

    • [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/a3
    bs/2003.08124v1
    bs/2003.08124v1)

    • [cs.CV]STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
    Xu Li, Jingwen Wang, Lin Ma, Kaihao Zhang, Fengzong Lian, Zhanhui Kang, Jinjun Wang
    http://arxiv.org/abs/2003.08042v1

    • [cs.CV]ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images
    Parag Mali, Puneeth Kukkadapu, Mahshad Mahdavi, Richard Zanibbi
    http://arxiv.org/abs/2003.08005v1

    • [cs.CV]Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
    Cho-Ying Wu, Ulrich Neumann
    http://arxiv.org/abs/2003.06945v2

    • [cs.CV]Scene Text Recognition via Transformer
    Xinjie Feng, Hongxun Yao, Yuankai Yi, Jun Zhang, Shengping Zhang
    http://arxiv.org/abs/2003.08077v1

    • [cs.CV]Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture
    Miriam Zulema Jacobo, Jose Mejia
    http://arxiv.org/abs/2003.07934v1

    • [cs.CV]Sequential Forecasting of 100,000 Points
    Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart
    http://arxiv.org/abs/2003.08376v1

    • [cs.CV]SwapText: Image Based Texts Transfer in Scenes
    Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin
    http://arxiv.org/abs/2003.08152v1

    • [cs.CV]Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
    Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li
    http://arxiv.org/abs/2003.08284v1

    • [cs.CV]Transformer Networks for Trajectory Forecasting
    Francesco Giuliari, Irtiza Hasan, Marco Cristani, Fabio Galasso
    http://arxiv.org/abs/2003.08111v1

    • [cs.CV]Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification
    M. J. Gómez-Silva, J. M. Armingol, A. de la Escalera
    http://arxiv.org/abs/2003.08303v1

    • [cs.CV]Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
    Moab Arar, Yiftach Ginger, Dov Danon, Ilya Leizerson, Amit Bermano, Daniel Cohen-Or
    http://arxiv.org/abs/2003.08073v1

    • [cs.CV]Watching the World Go By: Representation Learning from Unlabeled Videos
    Daniel Gordon, Kiana Ehsani, Dieter Fox, Ali Farhadi
    http://arxiv.org/abs/2003.07990v1

    • [cs.CY]Forecasting Crime Using ARIMA Model
    Khawar Islam, Akhter Raza
    http://arxiv.org/abs/2003.08006v1

    • [cs.CY]The Future of Digital Health with Federated Learning
    Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
    http://arxiv.org/abs/2003.08119v1

    • [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/2003.06990v2

    • [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/2003.07945v1

    • [cs.DC]ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases
    Guang Chao Wang, Kenny Gross, Akshay Subramaniam
    http://arxiv.org/abs/2003.08011v1

    • [cs.DC]Cross Architectural Power Modelling
    Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese
    http://arxiv.org/abs/2003.08305v1

    • [cs.DC]On the Analysis of Parallel Real-Time Tasks with Spin Locks
    Xu Jiang, Nan Guan, He Du, Weichen Liu, Wang Yi
    http://arxiv.org/abs/2003.08233v1

    • [cs.DL]Prevalence of Potentially Predatory Publishing in Scopus on the Country Level
    Tatiana Savina, Ivan Sterligov
    http://arxiv.org/abs/2003.08283v1

    • [cs.IR]Can AI decrypt fashion jargon for you?
    Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto, Ranjitha Kumar
    http://arxiv.org/abs/2003.08052v1

    • [cs.IR]Overview of the TREC 2019 deep learning track
    Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
    http://arxiv.org/abs/2003.07820v2

    • [cs.IR]Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
    Jimmy Lin, Joel Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michał Siedlaczek, Andrew Trotman, Arjen de Vries
    http://arxiv.org/abs/2003.08276v1

    • [cs.IT]A Single-RF Architecture for Multiuser Massive MIMO via Reflecting Surfaces
    Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Antonia M. Tulino, Georg Fischer, Robert Schober
    http://arxiv.org/abs/2003.07885v1

    • [cs.IT]Age of Information for Multicast Transmission with Fixed and Random Deadlines in IoT Systems
    Jie Li, Yong Zhou, He Chen
    http://arxiv.org/abs/2003.08304v1

    • [cs.IT]Localization Efficiency in Massive MIMO Systems
    Masoud Arash, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe
    http://arxiv.org/abs/2003.07978v1

    • [cs.IT]Random Access based Reliable Uplink Communication and Power Transfer using Dynamic Power Splitting
    Steven Kisseleff, Symeon Chatzinotas, Björn Ottersten
    http://arxiv.org/abs/2003.08312v1

    • [cs.LG]A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
    Marc Brittain, Xuxi Yang, Peng Wei
    http://arxiv.org/abs/2003.08353v1

    • [cs.LG]Adversarial Transferability in Wearable Sensor Systems
    Ramesh Kumar Sah, Hassan Ghasemzadeh
    http://arxiv.org/abs/2003.07982v1

    • [cs.LG]Anchor & Transform: Learning Sparse Representations of Discrete Objects
    Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
    http://arxiv.org/abs/2003.08197v1

    • [cs.LG]Bootstrap Bias Corrected Cross Validation applied to Super Learning
    Krzysztof Mnich, Agnieszka Kitlas Golińska, Aneta Polewko-Klim, Witold R. Rudnicki
    http://arxiv.org/abs/2003.08342v1

    • [cs.LG]Compressed Sensing with Invertible Generative Models and Dependent Noise
    Jay Whang, Qi Lei, Alexandros G. Dimakis
    http://arxiv.org/abs/2003.08089v1

    • [cs.LG]Deep Quaternion Features for Privacy Protection
    Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
    http://arxiv.org/abs/2003.08365v1

    • [cs.LG]Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
    Qing Tian, Chuang Ma, Meng Cao, Songcan Chen
    http://arxiv.org/abs/2003.08051v1

    • [cs.LG]Efficient improper learning for online logistic regression
    Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
    http://arxiv.org/abs/2003.08109v1

    • [cs.LG]Federated Visual Classification with Real-World Data Distribution
    Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
    http://arxiv.org/abs/2003.08082v1

    • [cs.LG]Few-Shot Graph Classification with Model Agnostic Meta-Learning
    Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu
    http://arxiv.org/abs/2003.08246v1

    • [cs.LG]Generating Electronic Health Records with Multiple Data Types and Constraints
    Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin
    http://arxiv.org/abs/2003.07904v1

    • [cs.LG]Improving predictions by nonlinear regression models from outlying input data
    William W. Hsieh
    http://arxiv.org/abs/2003.07926v1

    • [cs.LG]Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $\ell_1$-$\ell_1$ Minimization: Architecture Design and Generalization Analysis
    Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
    http://arxiv.org/abs/2003.08334v1

    • [cs.LG]ParKCa: Causal Inference with Partially Known Causes
    Raquel Aoki, Martin Ester
    http://arxiv.org/abs/2003.07952v1

    • [cs.LG]Self-Supervised Log Parsing
    Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
    http://arxiv.org/abs/2003.07905v1

    • [cs.LG]Stable Neural Flows
    Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
    http://arxiv.org/abs/2003.08063v1

    • [cs.LG]SurvLIME: A method for explaining machine learning survival models
    Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov
    http://arxiv.org/abs/2003.08371v1

    • [cs.LG]Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
    Jun Seo, Sung Whan Yoon, Jaekyun Moon
    http://arxiv.org/abs/2003.08221v1

    • [cs.LG]The Value of Nullspace Tuning Using Partial Label Information
    Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko
    http://arxiv.org/abs/2003.07921v1

    • [cs.LG]Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
    Jerrin Thomas Panachakel, Jeena R. S
    http://arxiv.org/abs/2003.08354v1

    • [cs.NE]Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP
    Zhenyu Liang, Yunfan Li, Zhongwei Wan
    http://arxiv.org/abs/2003.08295v1

    • [cs.NE]Neuroevolution of Self-Interpretable Agents
    Yujin Tang, Duong Nguyen, David Ha
    http://arxiv.org/abs/2003.08165v1

    • [cs.NI]SOM-based DDoS Defense Mechanism using SDN for the Internet of Things
    Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Guohua Shen, Changbo Ke
    http://arxiv.org/abs/2003.06834v2

    • [cs.RO]Accelerated ADMM based Trajectory Optimization for Legged Locomotion with Coupled Rigid Body Dynamics
    Ziyi Zhou, Ye Zhao
    http://arxiv.org/abs/2003.08019v1

    • [cs.RO]Aerial Manipulation using Model Predictive Control for Opening a Hinged Door
    Dongjae Lee, Hoseong Seo, Dabin Kim, H. Jin Kim
    http://arxiv.org/abs/2003.08256v1

    • [cs.RO]CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
    Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
    http://arxiv.org/abs/2003.08003v1

    • [cs.RO]Ford Multi-AV Seasonal Dataset
    Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James McBride
    http://arxiv.org/abs/2003.07969v1

    • [cs.RO]Inferring the Material Properties of Granular Media for Robotic Tasks
    Carolyn Matl, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox
    http://arxiv.org/abs/2003.08032v1

    • [cs.RO]The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation
    S. Hamidreza Kasaei, Jorik Melsen, Floris van Beers, Christiaan Steenkist, Klemen Voncina
    http://arxiv.org/abs/2003.08151v1

    • [cs.SD]Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
    Yuan Gong, Jian Yang, Christian Poellabauer
    http://arxiv.org/abs/2003.08225v1

    • [cs.SI]A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
    Xinyi Guo, Jinfeng Li
    http://arxiv.org/abs/2003.08137v1

    • [cs.SI]Analysis of ResearchGate, A Community Detection Approach
    Mohammad Heydari, Babak Teimourpour
    http://arxiv.org/abs/2003.05591v2

    • [cs.SI]Network disruption: maximizing disagreement and polarization in social networks
    Mayee Chen, Miklos Z. Racz
    http://arxiv.org/abs/2003.08377v1

    • [cs.SI]The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify
    David Holtz, Benjamin Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral
    http://arxiv.org/abs/2003.08203v1

    • [cs.SI]Tracking COVID-19 using online search
    Vasileios Lampos, Simon Moura, Elad Yom-Tov, Ingemar J. Cox, Rachel McKendry, Michael Edelstein
    http://arxiv.org/abs/2003.08086v1

    • [econ.GN]NISE Estimation of an Economic Model of Crime
    Eric Blankmeyer
    http://arxiv.org/abs/2003.07860v1

    • [eess.AS]Deliberation Model Based Two-Pass End-to-End Speech Recognition
    Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar
    http://arxiv.org/abs/2003.07962v1

    • [eess.IV]3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
    Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao
    http://arxiv.org/abs/2003.08355v1

    • [eess.IV]Assessing Robustness to Noise: Low-Cost Head CT Triage
    Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel
    http://arxiv.org/abs/2003.07977v1

    • [eess.IV]Identification and Classification of Phenomena in Multispectral Satellite Imagery Using a New Image Smoother Method and its Applications in Environmental Remote Sensing
    M. Kiani
    http://arxiv.org/abs/2003.08209v1

    • [eess.IV]Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors
    Seçkin Barışık, İlke Ercan
    http://arxiv.org/abs/2003.08196v1

    • [eess.IV]Weakly Supervised PET Tumor Detection UsingClass Response
    Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
    http://arxiv.org/abs/2003.08337v1

    • [eess.SP]Deep Convolutional Neural Network Model for Short-Term Electricity Price Forecasting
    Hsu-Yung Cheng, Ping-Huan Kuo, Yamin Shen, Chiou-Jye Huang
    http://arxiv.org/abs/2003.07202v1

    • [eess.SP]Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
    Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li, H. Vincent Poor
    http://arxiv.org/abs/2003.08059v1

    • [eess.SP]Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm
    Cankun Qiu, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang
    http://arxiv.org/abs/2003.08356v1

    • [eess.SP]Real-World Considerations for Deep Learning in Wireless Signal Identification Based on Spectral Correlation Function
    Kürşat Tekbıyık, Özkan Akbunar, Ali Rıza Ekti, Ali Görçin, Güneş Karabulut Kurt
    http://arxiv.org/abs/2003.08359v1

    • [eess.SP]Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization
    Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel Coimbra
    http://arxiv.org/abs/2003.07981v1

    • [eess.SP]Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems
    Seyed Hadi Mirfarshbafan, Christoph Studer
    http://arxiv.org/abs/2003.08336v1

    • [math.DS]High-Confidence Attack Detection via Wasserstein-Metric Computations
    Dan Li, Sonia Martínez
    http://arxiv.org/abs/2003.07880v1

    • [math.OC]From Sensor to Processing Networks: Optimal Estimation with Computation and Communication Latency
    Luca Ballotta, Luca Schenato, Luca Carlone
    http://arxiv.org/abs/2003.08301v1

    • [math.OC]Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method
    Babak Barazandeh, Meisam Razaviyayn
    http://arxiv.org/abs/2003.08093v1

    • [math.ST]A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix
    Andrew T. Karl, Dale L. Zimmerman
    http://arxiv.org/abs/2003.08087v1

    • [math.ST]Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator
    Yassir Jedra, Alexandre Proutiere
    http://arxiv.org/abs/2003.07937v1

    • [math.ST]Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions
    Nathan E. Glatt-Holtz, Cecilia F. Mondaini
    http://arxiv.org/abs/2003.07980v1

    • [math.ST]On Symmetrized Pearson’s Type Test in Autoregression with Outliers: Robust Testing of Normality
    Michael Boldin
    http://arxiv.org/abs/2003.07878v1

    • [math.ST]Tail Bounds for Matrix Quadratic Forms and Bias Adjusted Spectral Clustering in Multi-layer Stochastic Block Models
    Jing Lei
    http://arxiv.org/abs/2003.08222v1

    • [nlin.AO]Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
    Germán Kruszewski, Tomas Mikolov
    http://arxiv.org/abs/2003.07916v1

    • [physics.soc-ph]How social feedback processing in the brain shapes collective opinion processes in the era of social media
    Sven Banisch, Felix Gaisbauer, Eckehard Olbrich
    http://arxiv.org/abs/2003.08154v1

    • [q-fin.ST]Low-volatility Anomaly and the Adaptive Multi-Factor Model
    Robert A. Jarrow, Rinald Murataj, Martin T. Wells, Liao Zhu
    http://arxiv.org/abs/2003.08302v1

    • [stat.AP]Epilocal: a real-time tool for local epidemic monitoring
    Marco Bonetti
    http://arxiv.org/abs/2003.07928v1

    • [stat.AP]Modeling of Multisite Precipitation Occurrences Using Latent Gaussian-based Multivariate Binary Response Time Series
    Hsien-Wei Chen
    http://arxiv.org/abs/2003.07998v1

    • [stat.AP]Neutron reflectometry analysis: using model-dependent methods
    Andrew R. McCluskey
    http://arxiv.org/abs/2003.08270v1

    • [stat.CO]Data-Driven Forward Discretizations for Bayesian Inversion
    Daniele Bigoni, Yuming Chen, Nicolas Garcia Trillos, Youssef Marzouk, Daniel Sanz-Alonso
    http://arxiv.org/abs/2003.07991v1

    • [stat.ME]**$R^$: A robust MCMC convergence diagnostic with uncertainty using gradient-boosted machines
    Ben Lambert
    http://arxiv.org/abs/2003.07900v1

    • [stat.ME]Gaussian process aided function comparison using noisy scattered data
    Abhinav Prakash, Rui Tuo, Yu Ding
    http://arxiv.org/abs/2003.07899v1

    • [stat.ME]Nearest Neighbor Dirichlet Process
    Shounak Chattopadhyay, Antik Chakraborty, David B. Dunson
    http://arxiv.org/abs/2003.07953v1

    • [stat.ML]Logistic-Regression with peer-group effects via inference in higher order Ising models
    Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
    http://arxiv.org/abs/2003.08259v1

    • [stat.ML]Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
    Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
    http://arxiv.org/abs/2003.07898v1

    • [stat.ML]Teacher-Student Domain Adaptation for Biosensor Models
    Lawrence G. Phillips, David B. Grimes, Yihan Jessie Li
    http://arxiv.org/abs/2003.07896v1