归档 - 今日学术视野(2020.4.2) - 《爱可可老师分享》

astro-ph.IM - 仪器仪表和天体物理学方法

astro-ph.SR - 太阳和天体物理学恒星 cond-mat.mtrl-sci - 材料科学 cs.CV - 机器视觉与模式识别 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [astro-ph.IM]Non-dimensional Star-Identification
• [astro-ph.SR]Comparison of Latitude Distribution and Evolution of Even and Odd Sunspot Cycles
• [cond-mat.mtrl-sci]CRYSPNet: Crystal Structure Predictions via Neural Network
• [cond-mat.mtrl-sci]Integrating spectrophotometric and XRD analyses in the investigation of burned dental remains
• [cs.
1000
CV]Recognizing Characters in Art History Using Deep Learning
• [cs.AI]A Pebble in the AI Race
• [cs.AI]Adaptive Group Sparse Regularization for Continual Learning
• [cs.AI]Amharic Abstractive Text Summarization
• [cs.AI]Artificial chemistry experiments with chemlambda, lambda calculus, interaction combinators
• [cs.AI]Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
• [cs.AI]Mining International Political Norms from the GDELT Database
• [cs.AI]State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
• [cs.AI]Will we ever have Conscious Machines?
• [cs.CL]Appraisal Theories for Emotion Classification in Text
• [cs.CL]Evaluating Amharic Machine Translation
• [cs.CL]Graph Enhanced Representation Learning for News Recommendation
• [cs.CL]Inherent Dependency Displacement Bias of Transition-Based Algorithms
• [cs.CL]Low Resource Neural Machine Translation: A Benchmark for Five African Languages
• [cs.CL]MULTEXT-East
• [cs.CL]On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
• [cs.CL]Procedural Reading Comprehension with Attribute-Aware Context Flow
• [cs.CL]SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
• [cs.CL]Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)
• [cs.CL]The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
• [cs.CL]Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
• [cs.CR]Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic
• [cs.CR]Attack of the Genes: Finding Keys and Parameters of Locked Analog ICs Using Genetic Algorithm
• [cs.CR]DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
• [cs.CR]Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders
• [cs.CV]3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
• [cs.CV]3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
• [cs.CV]A Simple Class Decision Balancing for Incremental Learning
• [cs.CV]ActGAN: Flexible and Efficient One-shot Face Reenactment
• [cs.CV]Active stereo vision three-dimensional reconstruction by RGB dot pattern projection and ray intersection
• [cs.CV]Attention-based Assisted Excitation for Salient Object Segmentation
• [cs.CV]Attention-based Multi-modal Fusion Network for Semantic Scene Completion
• [cs.CV]AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
• [cs.CV]BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
• [cs.CV]Can Deep Learning Recognize Subtle Human Activities?
• [cs.CV]Certifiable Relative Pose Estimation
• [cs.CV]Co-occurrence of deep convolutional features for image search
• [cs.CV]Combining detection and tracking for human pose estimation in videos
• [cs.CV]DISIR: Deep Image Segmentation with Interactive Refinement
• [cs.CV]DPGN: Distribution Propagation Graph Network for Few-shot Learning
• [cs.CV]DeepLPF: Deep Local Parametric Filters for Image Enhancement
• [cs.CV]Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
• [cs.CV]Distance in Latent Space as Novelty Measure
• [cs.CV]Distilled Semantics for Comprehensive Scene Understanding from Videos
• [cs.CV]Domain Balancing: Face Recognition on Long-Tailed Domains
• [cs.CV]Du$^2$Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
• [cs.CV]Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
• [cs.CV]EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs
• [cs.CV]FGN: Fully Guided Network for Few-Shot Instance Segmentation
• [cs.CV]FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
• [cs.CV]Fashion Meets Computer Vision: A Survey
• [cs.CV]How Useful is Self-Supervised Pretraining for Visual Tasks?
• [cs.CV]Inverting Gradients — How easy is it to break privacy in federated learning?
• [cs.CV]Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
• [cs.CV]Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning
• [cs.CV]Learning Human-Object Interaction Detection using Interaction Points
• [cs.CV]Learning Oracle Attention for High-fidelity Face Completion
• [cs.CV]Long Short-Term Relation Networks for Video Action Detection
• [cs.CV]Look-into-Object: Self-supervised Structure Modeling for Object Recognition
• [cs.CV]MUXConv: Information Multiplexing in Convolutional Neural Networks
• [cs.CV]Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
• [cs.CV]Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
• [cs.CV]Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
• [cs.CV]Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
• [cs.CV]Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
• [cs.CV]PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
• [cs.CV]Prediction Confidence from Neighbors
• [cs.CV]Probabilistic Pixel-Adaptive Refinement Networks
• [cs.CV]Proxy Anchor Loss for Deep Metric Learning
• [cs.CV]Real-Time Camera Pose Estimation for Sports Fields
• [cs.CV]Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
• [cs.CV]Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
• [cs.CV]RetinaTrack: Online Single Stage Joint Detection and Tracking
• [cs.CV]SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
• [cs.CV]SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
• [cs.CV]SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
• [cs.CV]Segmenting Transparent Objects in the Wild
• [cs.CV]Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
• [cs.CV]Semi-supervised Learning for Few-shot Image-to-Image Translation
• [cs.CV]Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
• [cs.CV]Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
• [cs.CV]Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data
• [cs.CV]TITAN: Future Forecast using Action Priors
• [cs.CV]Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
• [cs.CV]TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
• [cs.CV]Understanding the impact of mistakes on background regions in crowd counting
• [cs.CV]UniformAugment: A Search-free Probabilistic Data Augmentation Approach
• [cs.CV]When to Use Convolutional Neural Networks for Inverse Problems
• [cs.CV]X-Linear Attention Networks for Image Captioning
• [cs.CV]Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing
• [cs.CY]Anonymous Collocation Discovery:Taming the Coronavirus While Preserving Privacy
• [cs.CY]Detecting impending malnutrition of elderly people in domestic smart home environments
• [cs.CY]Using VERA to explain the impact of social distancing on the spread of COVID-19
• [cs.DB]Towards Productionizing Subjective Search Systems
• [cs.DC]AxeChain: A Secure and Decentralized blockchain for solving Easily-Verifiable problems
• [cs.DC]Provisioning Spot Instances Without Employing Fault-Tolerance Mechanisms
• [cs.GT]Fairness in ad auctions through inverse proportionality
• [cs.HC]Multimodal Interfaces for Effective Teleoperation
• [cs.IR]A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
• [cs.IR]Social Media Mining Toolkit (SMMT)
• [cs.IT]Fundamental Limits of Online Network-Caching
• [cs.IT]Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission
• [cs.IT]On Age and Value of Information in Status Update Systems
• [cs.IT]Overlay Satellite-Terrestrial Networks for IoT under Hybrid Interference Environments
• [cs.IT]Transmit Power Allocation for Joint Communication and Sensing through Massive MIMO Arrays
• [cs.LG]A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
• [cs.LG]A Decentralized Policy with Logarithmic Regret for a Class of Multi-Agent Multi-Armed Bandit Problems with Option Unavailability Constraints and Stochastic Communication Protocols
• [cs.LG]A Hierarchical Transformer for Unsupervised Parsing
• [cs.LG]A Spatio-Temporal Spot-Forecasting Framework forUrban Traffic Prediction
• [cs.LG]COVID-CT-Dataset: A CT Scan Dataset about COVID-19
• [cs.LG]CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
• [cs.LG]Dataless Model Selection with the Deep Frame Potential
• [cs.LG]Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing
• [cs.LG]DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
• [cs.LG]Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
• [cs.LG]From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case
• [cs.LG]Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
• [cs.LG]Inference with Aggregate Data: An Optimal Transport Approach
• [cs.LG]Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation
• [cs.LG]L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
• [cs.LG]Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model
• [cs.LG]Leverage the Average: an Analysis of Regularization in RL
• [cs.LG]MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
• [cs.LG]NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
• [cs.LG]NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain
• [cs.LG]Parallelization of Monte Carlo Tree Search in Continuous Domains
• [cs.LG]Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
• [cs.LG]Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction
• [cs.LG]Regularizing Class-wise Predictions via Self-knowledge Distillation
• [cs.LG]Robotic Table Tennis with Model-Free Reinforcement Learning
• [cs.LG]Sample Efficient Ensemble Learning with Catalyst.RL
• [cs.MA]Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints
• [cs.MA]Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization
• [cs.MM]Social-Sensor Composition for Tapestry Scenes
• [cs.NE]Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
• [cs.NE]Extending BrainScaleS OS for BrainScaleS-2
• [cs.NE]Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model
• [cs.NE]Initial Design Strategies and their Effects on Sequential Model-Based Optimization
• [cs.NE]The Operating System of the Neuromorphic BrainScaleS-1 System
• [cs.NI]Software-Defined Radio Implementation of Age-of-Information-Oriented Random Access
• [cs.RO]Autonomous Cave Surveying with an Aerial Robot
• [cs.RO]Can underwater robotics technology save submerged Cultural Heritage?
• [cs.RO]Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
• [cs.RO]Enabling Topological Planning with Monocular Vision
• [cs.RO]Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots
• [cs.RO]HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
• [cs.RO]Metric Monocular Localization Using Signed Distance Fields
• [cs.RO]OneShot Global Localization: Instant LiDAR-Visual Pose Estimation
• [cs.RO]Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks
• [cs.RO]Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene
• [cs.RO]TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions
• [cs.RO]TartanAir: A Dataset to Push the Limits of Visual SLAM
• [cs.RO]The Pluggable Distributed Resource Allocator (PDRA): a Middleware for Distributed Computing in Mobile Robotic Networks
• [cs.SE]Detection of FLOSS version release events from Stack Overflow message data
• [cs.SE]On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models
• [cs.SI]A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts
• [cs.SI]A first look at COVID-19 information and misinformation sharing on Twitter
• [cs.SI]Hurricanes and hashtags: Characterizing online collective attention for natural disasters
• [cs.SI]Mobility Changes in Response to COVID-19
• [cs.SI]Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes
• [cs.SI]The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19
• [econ.EM]A wavelet analysis of inter-dependence, contagion and long memory among global equity markets
• [econ.EM]Specification tests for generalized propensity scores using double projections
• [eess.AS]Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
• [eess.IV]A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
• [eess.IV]Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning
• [eess.IV]COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
• [eess.IV]Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
• [eess.IV]Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
• [eess.IV]Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
• [eess.IV]Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net
• [eess.IV]Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization
• [eess.IV]Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
• [eess.SP]Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction
• [eess.SP]Indoor Distance Estimation using LSTMs over WLAN Network
• [eess.SP]Joint Orthogonal Band and Power Allocation for Energy Fairness in WPT System with Nonlinear Logarithmic Energy Harvesting Model
• [eess.SY]Covariance-Robust Dynamic Watermarking
• [eess.SY]Deep State Space Models for Nonlinear System Identification
• [eess.SY]Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties
• [math.CO]A formula on the weight distribution of linear codes with applications to AMDS codes
• [math.CO]On subspaces of Kloosterman zeros and permutations of the form $L_1(x^{-1})+L_2(x)$
• [math.CO]On the decoding of 1-Fibonacci error correcting codes
• [math.NA]A Sampling Theorem for Deconvolution in Two Dimensions
• [math.OC]A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
• [math.OC]Explicit Regularization of Stochastic Gradient Methods through Duality
• [math.OC]Reflected Schrödinger Bridge: Density Control with Path Constraints
• [math.PR]A Central Limit Theorem for Martin-Löf Random Numbers
• [math.PR]Sharp Concentration Results for Heavy-Tailed Distributions
• [math.ST]Adaptive Estimation of Multivariate Regression with Hidden Variables
• [math.ST]New exponential dispersion models for count data — properties and applications
• [math.ST]On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods
• [math.ST]On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
• [math.ST]On the the linear processes of a stationary time series AR(2)
• [math.ST]Regularization in High-Dimensional Regression and Classification via Random Matrix Theory
• [physics.flu-dyn]Controlling Rayleigh-Bénard convection via Reinforcement Learning
• [physics.soc-ph]A Modified SIR Model for the COVID-19 Contagion in Italy
• [physics.soc-ph]Infostop: Scalable stop-location detection in multi-user mobility data
• [physics.soc-ph]Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning
• [physics.soc-ph]Problems with classification, hypothesis testing, and estimator convergence in the analysis of degree distributions in networks
• [q-bio.BM]Application and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists
• [q-bio.PE]Understanding the COVID19 Outbreak: A Comparative Data Analytics and Study
• [q-bio.QM]Autonomous discovery in the chemical sciences part I: Progress
• [q-bio.QM]Autonomous discovery in the chemical sciences part II: Outlook
• [q-fin.PM]A Framework for Online Investment Algorithms
• [q-fin.RM]Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework
• [quant-ph]Quantum Godwin’s Law
• [stat.AP]Accelerography: Feasibility of Gesture Typing using Accelerometer
• [stat.AP]Clustering of Arrivals in Queueing Systems: Autoregressive Conditional Duration Approach
• [stat.AP]Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach
• [stat.AP]Survey Data and Human Computation for Improved Flu Tracking
• [stat.ME]A flexible adaptive lasso Cox frailty model based on the full likelihood
• [stat.ME]Efficient identification of infected sub-population
• [stat.ME]Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
• [stat.ME]Exponential Dispersion Models for Overdispersed Zero-Inflated Count Data
• [stat.ME]Fairness Evaluation in Presence of Biased Noisy Labels
• [stat.ME]Naive linkage error corrected dual system estimation
• [stat.ME]Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation
• [stat.ML]A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
• [stat.ML]Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
• [stat.ML]Flows for simultaneous manifold learning and density estimation
• [stat.ML]Learning Theory for Estimation of Animal Motion Submanifolds
• [stat.ML]ManifoldNorm: Extending normalizations on Riemannian Manifolds

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• [astro-ph.IM]Non-dimensional Star-Identification
Carl Leake, David Arnas, Daniele Mortari
http://arxiv.org/abs/2003.13736v1

• [astro-ph.SR]Comparison of Latitude Distribution and Evolution of Even and Odd Sunspot Cycles
Jouni J. Takalo
http://arxiv.org/abs/2003.14262v1

• [cond-mat.mtrl-sci]CRYSPNet: Crystal Structure Predictions via Neural Network
Haotong Liang, Valentin Stanev, A. Gilad Kusne, Ichiro Takeuchi
http://arxiv.org/abs/2003.14328v1

• [cond-mat.mtrl-sci]Integrating spectrophotometric and XRD analyses in the investigation of burned dental remains
Rabiah A. Rahmat, Melissa A. Humphries, Jeremy J. Austin, Adrian M. T. Linacre, Mark Raven, Peter Self
http://arxiv.org/abs/2003.13687v1

• [cs.
1000
CV]Recognizing Characters in Art History Using Deep Learning
Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2003.14171v1

• [cs.AI]A Pebble in the AI Race
Toby Walsh
http://arxiv.org/abs/2003.13861v1

• [cs.AI]Adaptive Group Sparse Regularization for Continual Learning
Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
http://arxiv.org/abs/2003.13726v1

• [cs.AI]Amharic Abstractive Text Summarization
Amr M. Zaki, Mahmoud I. Khalil, Hazem M. Abbas
http://arxiv.org/abs/2003.13721v1

• [cs.AI]Artificial chemistry experiments with chemlambda, lambda calculus, interaction combinators
Marius Buliga
http://arxiv.org/abs/2003.14332v1

• [cs.AI]Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
http://arxiv.org/abs/2003.13949v1

• [cs.AI]Mining International Political Norms from the GDELT Database
Rohit Murali, Suravi Patnaik, Stephen Cranefield
http://arxiv.org/abs/2003.14027v1

• [cs.AI]State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
Samuel Albanie, Jaime Thewmore, Robert McCraith, Joao F. Henriques
http://arxiv.org/abs/2003.14415v1

• [cs.AI]Will we ever have Conscious Machines?
Patrick Krauss, Andreas Maier
http://arxiv.org/abs/2003.14132v1

• [cs.CL]Appraisal Theories for Emotion Classification in Text
Jan Hofmann, Enrica Troiano, Kai Sassenberg, Roman Klinger
http://arxiv.org/abs/2003.14155v1

• [cs.CL]Evaluating Amharic Machine Translation
Asmelash Teka Hadgu, Adam Beaudoin, Abel Aregawi
http://arxiv.org/abs/2003.14386v1

• [cs.CL]Graph Enhanced Representation Learning for News Recommendation
Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2003.14292v1

• [cs.CL]Inherent Dependency Displacement Bias of Transition-Based Algorithms
Mark Anderson, Carlos Gómez-Rodríguez
http://arxiv.org/abs/2003.14282v1

• [cs.CL]Low Resource Neural Machine Translation: A Benchmark for Five African Languages
Surafel M. Lakew, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2003.14402v1

• [cs.CL]MULTEXT-East
Tomaž Erjavec
http://arxiv.org/abs/2003.14026v1

• [cs.CL]On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
Eva Vanmassenhove
http://arxiv.org/abs/2003.14324v1

• [cs.CL]Procedural Reading Comprehension with Attribute-Aware Context Flow
Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi
http://arxiv.org/abs/2003.13878v1

• [cs.CL]SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu
http://arxiv.org/abs/2003.13956v1

• [cs.CL]Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)
Caio Corro
http://arxiv.org/abs/2003.13785v1

• [cs.CL]The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajič, Khalid Choukri, Andrejs Vasiļjevs, Gerhard Backfried, Christoph Prinz, José Manuel Gómez Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriūtė, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavriilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadiņa, Marko Tadić, Dan Tufiş, Tamás Váradi, Kadri Vider, Andy Way, François Yvon
http://arxiv.org/abs/2003.13833v1

• [cs.CL]Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
Prajit Dhar, Arianna Bisazza
http://arxiv.org/abs/2003.14056v1

• [cs.CR]Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic
Alex Berke, Michiel Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex `Sandy’ Pentland
http://arxiv.org/abs/2003.14412v1

• [cs.CR]Attack of the Genes: Finding Keys and Parameters of Locked Analog ICs Using Genetic Algorithm
Rabin Yu Acharya, Sreeja Chowdhury, Fatemeh Ganji, Domenic Forte
http://arxiv.org/abs/2003.13904v1

• [cs.CR]DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao, Adnan Siraj Rakin, Deliang Fan
http://arxiv.org/abs/2003.13746v1

• [cs.CR]Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders
Franz Gregor, Wojciech Ozga, Sébastien Vaucher, Rafael Pires, Do Le Quoc, Sergei Arnautov, André Martin, Valerio Schiavoni, Pascal Felber, Christof Fetzer
http://arxiv.org/abs/2003.14099v1

• [cs.CV]3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li
http://arxiv.org/abs/2003.14052v1

• [cs.CV]3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner
http://arxiv.org/abs/2003.13867v1

• [cs.CV]A Simple Class Decision Balancing for Incremental Learning
Hongjoon Ahn, Taesup Moon
http://arxiv.org/abs/2003.13947v1

• [cs.CV]ActGAN: Flexible and Efficient One-shot Face Reenactment
Ivan Kosarevych, Marian Petruk, Markian Kostiv, Orest Kupyn, Mykola Maksymenko, Volodymyr Budzan
http://arxiv.org/abs/2003.13840v1

• [cs.CV]Active stereo vision three-dimensional reconstruction by RGB dot pattern projection and ray intersection
Yongcan Shuang, Zhenzhou Wang
http://arxiv.org/abs/2003.13322v2

• [cs.CV]Attention-based Assisted Excitation for Salient Object Segmentation
Saeed Masoudnia, Melika Kheirieh, Abdol-Hossein Vahabie, Babak Nadjar-Araabi
http://arxiv.org/abs/2003.14194v1

• [cs.CV]Attention-based Multi-modal Fusion Network for Semantic Scene Completion
Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao1
http://arxiv.org/abs/2003.13910v1

• [cs.CV]AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou
http://arxiv.org/abs/2003.13845v1

• [cs.CV]BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen, Guangchen Lin, Songyuan Li, Bourahla Omar, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li
http://arxiv.org/abs/2003.14031v1

• [cs.CV]Can Deep Learning Recognize Subtle Human Activities?
Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
http://arxiv.org/abs/2003.13852v1

• [cs.CV]Certifiable Relative Pose Estimation
Mercedes Garcia-Salguero, Jesus Briales, Javier Gonzalez-Jimenez
http://arxiv.org/abs/2003.13732v1

• [cs.CV]Co-occurrence of deep convolutional features for image search
J. I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince
http://arxiv.org/abs/2003.13827v1

• [cs.CV]Combining detection and tracking for human pose estimation in videos
Manchen Wang, Joseph Tighe, Davide Modolo
http://arxiv.org/abs/2003.13743v1

• [cs.CV]DISIR: Deep Image Segmentation with Interactive Refinement
Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan Hon Tong, Guy Le Besnerais
http://arxiv.org/abs/2003.14200v1

• [cs.CV]DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang, Liangliang Li, Zilun Zhang, Zhou, Erjin Zhou, Yu Liu
http://arxiv.org/abs/2003.14247v1

• [cs.CV]DeepLPF: Deep Local Parametric Filters for Image Enhancement
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh
http://arxiv.org/abs/2003.13985v1

• [cs.CV]Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
http://arxiv.org/abs/2003.14111v1

• [cs.CV]Distance in Latent Space as Novelty Measure
Mark Philip Philipsen, Thomas Baltzer Moeslund
http://arxiv.org/abs/2003.14043v1

• [cs.CV]Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
http://arxiv.org/abs/2003.14030v1

• [cs.CV]Domain Balancing: Face Recognition on Long-Tailed Domains
Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei
http://arxiv.org/abs/2003.13791v1

• [cs.CV]Du$^2$Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg
http://arxiv.org/abs/2003.14299v1

• [cs.CV]Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
Hao Tang, Xiaojuan Qi, Dan Xu, Philip H. S. Torr, Nicu Sebe
http://arxiv.org/abs/2003.13898v1

• [cs.CV]EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs
Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi
http://arxiv.org/abs/2003.13924v1

• [cs.CV]FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li
http://arxiv.org/abs/2003.13954v1

• [cs.CV]FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao
http://arxiv.org/abs/2003.13989v1

• [cs.CV]Fashion Meets Computer Vision: A Survey
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, Jiaying Liu
http://arxiv.org/abs/2003.13988v1

• [cs.CV]How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell, Jia Deng
http://arxiv.org/abs/2003.14323v1

• [cs.CV]Inverting Gradients — How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
http://arxiv.org/abs/2003.14053v1

• [cs.CV]Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji
http://arxiv.org/abs/2003.13834v1

• [cs.CV]Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning
Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan
http://arxiv.org/abs/2003.14105v1

• [cs.CV]Learning Human-Object Interaction Detection using Interaction Points
Tiancai Wang, Tong
1000
Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun
http://arxiv.org/abs/2003.14023v1

• [cs.CV]Learning Oracle Attention for High-fidelity Face Completion
Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao
http://arxiv.org/abs/2003.13903v1

• [cs.CV]Long Short-Term Relation Networks for Video Action Detection
Dong Li, Ting Yao, Zhaofan Qiu, Houqiang Li, Tao Mei
http://arxiv.org/abs/2003.14065v1

• [cs.CV]Look-into-Object: Self-supervised Structure Modeling for Object Recognition
Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei
http://arxiv.org/abs/2003.14142v1

• [cs.CV]MUXConv: Information Multiplexing in Convolutional Neural Networks
Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
http://arxiv.org/abs/2003.13880v1

• [cs.CV]Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zh
f9b
iguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Gregory Rogez, Vincent Lepetit, Tae-Kyun Kim
http://arxiv.org/abs/2003.13764v1

• [cs.CV]Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Difei Gao, Ke Li, Ruiping Wang, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2003.13962v1

• [cs.CV]Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong
http://arxiv.org/abs/2003.13960v1

• [cs.CV]Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu
http://arxiv.org/abs/2003.13043v2

• [cs.CV]Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Mariko Isogawa, Ye Yuan, Matthew O’Toole, Kris Kitani
http://arxiv.org/abs/2003.14414v1

• [cs.CV]PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Hassan Foroosh
http://arxiv.org/abs/2003.14032v1

• [cs.CV]Prediction Confidence from Neighbors
Mark Philip Philipsen, Thomas Baltzer Moeslund
http://arxiv.org/abs/2003.14047v1

• [cs.CV]Probabilistic Pixel-Adaptive Refinement Networks
Anne S. Wannenwetsch, Stefan Roth
http://arxiv.org/abs/2003.14407v1

• [cs.CV]Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
http://arxiv.org/abs/2003.13911v1

• [cs.CV]Real-Time Camera Pose Estimation for Sports Fields
Leonardo Citraro, Pablo Márquez-Neila, Stefano Savarè, Vivek Jayaram, Charles Dubout, Félix Renaut, Andrés Hasfura, Horesh Ben Shitrit, Pascal Fua
http://arxiv.org/abs/2003.14109v1

• [cs.CV]Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Xi Li
http://arxiv.org/abs/2003.14226v1

• [cs.CV]Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
Daniel Haase, Manuel Amthor
http://arxiv.org/abs/2003.13549v2

• [cs.CV]RetinaTrack: Online Single Stage Joint Detection and Tracking
Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
http://arxiv.org/abs/2003.13870v1

• [cs.CV]SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Mohsen Fayyaz, Juergen Gall
http://arxiv.org/abs/2003.14266v1

• [cs.CV]SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
Weikun Wu, Yan Zhang, David Wang, Yunqi Lei
http://arxiv.org/abs/2003.14014v1

• [cs.CV]SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng
http://arxiv.org/abs/2003.14034v1

• [cs.CV]Segmenting Transparent Objects in the Wild
Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo
http://arxiv.org/abs/2003.13948v1

• [cs.CV]Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
Adrian Johnston, Gustavo Carneiro
http://arxiv.org/abs/2003.13951v1

• [cs.CV]Semi-supervised Learning for Few-shot Image-to-Image Translation
Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
http://arxiv.org/abs/2003.13853v1

• [cs.CV]Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield, Richard Bowden
http://arxiv.org/abs/2003.13830v1

• [cs.CV]Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles
http://arxiv.org/abs/2003.13942v1

• [cs.CV]Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data
Washington Ramos, Michel Silva, Edson Araujo, Leandro Soriano Marcolino, Erickson Nascimento
http://arxiv.org/abs/2003.14229v1

• [cs.CV]TITAN: Future Forecast using Action Priors
Srikanth Malla, Behzad Dariush, Chiho Choi
http://arxiv.org/abs/2003.13886v1

• [cs.CV]Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
Felix Yu, Karthik Narasimhan, Olga Russakovsky
http://arxiv.org/abs/2003.14269v1

• [cs.CV]TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy
http://arxiv.org/abs/2003.14401v1

• [cs.CV]Understanding the impact of mistakes on background regions in crowd counting
Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
http://arxiv.org/abs/2003.13759v1

• [cs.CV]UniformAugment: A Search-free Probabilistic Data Augmentation Approach
Tom Ching LingChen, Ava Khonsari, Amirreza Lashkari, Mina Rafi Nazari, Jaspreet Singh Sambee, Mario A. Nascimento
http://arxiv.org/abs/2003.14348v1

• [cs.CV]When to Use Convolutional Neural Networks for Inverse Problems
Nathaniel Chodosh, Simon Lucey
http://arxiv.org/abs/2003.13820v1

• [cs.CV]X-Linear Attention Networks for Image Captioning
Yingwei Pan, Ting Yao, Yehao Li, Tao Mei
http://arxiv.org/abs/2003.14080v1

• [cs.CV]Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing
Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai
http://arxiv.org/abs/2003.13912v1

• [cs.CY]Anonymous Collocation Discovery:Taming the Coronavirus While Preserving Privacy
Ran Canetti, Ari Trachtenberg, Mayank Varia
http://arxiv.org/abs/2003.13670v2

• [cs.CY]Detecting impending malnutrition of elderly people in domestic smart home environments
Björn Friedrich, Jürgen Bauer, Andreas Hein
http://arxiv.org/abs/2003.14159v1

• [cs.CY]Using VERA to explain the impact of social distancing on the spread of COVID-19
William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel
http://arxiv.org/abs/2003.13762v1

• [cs.DB]Towards Productionizing Subjective Search Systems
Aaron Feng, Shuwei Chen, Yuliang Li, Hiroshi Matsuda, Hidekazu Tamaki, Wang-Chiew Tan
http://arxiv.org/abs/2003.13968v1

• [cs.DC]AxeChain: A Secure and Decentralized blockchain for solving Easily-Verifiable problems
Weilin Zheng, Xu Chen, Zibin Zheng, Xiapu Luo, Jiahui Cui
http://arxiv.org/abs/2003.13999v1

• [cs.DC]Provisioning Spot Instances Without Employing Fault-Tolerance Mechanisms
Abdullah Alourani, Ajay D. Kshemkalyani
http://arxiv.org/abs/2003.13846v1

• [cs.GT]Fairness in ad auctions through inverse proportionality
Shuchi Chawla, Meena Jagadeesan
http://arxiv.org/abs/2003.13966v1

• [cs.HC]Multimodal Interfaces for Effective Teleoperation
Eleftherios Triantafyllidis, Christopher McGreavy, Jiacheng Gu, Zhibin Li
http://arxiv.org/abs/2003.14392v1

• [cs.IR]A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
Ramya Tekumalla, Juan M. Banda
http://arxiv.org/abs/2003.13900v1

• [cs.IR]Social Media Mining Toolkit (SMMT)
Ramya Tekumalla, Juan M. Banda
http://arxiv.org/abs/2003.13894v1

• [cs.IT]Fundamental Limits of Online Network-Caching
Rajarshi Bhattacharjee, Subhankar Banerjee, Abhishek Sinha
http://arxiv.org/abs/2003.14085v1

• [cs.IT]Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission
Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang
http://arxiv.org/abs/2003.13909v1

• [cs.IT]On Age and Value of Information in Status Update Systems
Peng Zou, Omur Ozel, Suresh Subramaniam
http://arxiv.org/abs/2
1000
003.14069v1
1000
003.14069v1)

• [cs.IT]Overlay Satellite-Terrestrial Networks for IoT under Hybrid Interference Environments
Pankaj K. Sharma, Budharam Yogesh, Deepika Gupta, Dong In Kim
http://arxiv.org/abs/2003.12950v1

• [cs.IT]Transmit Power Allocation for Joint Communication and Sensing through Massive MIMO Arrays
Stefano Buzzi, Carmen D’Andrea, Marco Lops
http://arxiv.org/abs/2003.14205v1

• [cs.LG]A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Juan M. Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset
http://arxiv.org/abs/2003.14021v1

• [cs.LG]A Decentralized Policy with Logarithmic Regret for a Class of Multi-Agent Multi-Armed Bandit Problems with Option Unavailability Constraints and Stochastic Communication Protocols
Pathmanathan Pankayaraj, D. H. S. Maithripala, J. M. Berg
http://arxiv.org/abs/2003.12968v2

• [cs.LG]A Hierarchical Transformer for Unsupervised Parsing
Ashok Thillaisundaram
http://arxiv.org/abs/2003.13841v1

• [cs.LG]A Spatio-Temporal Spot-Forecasting Framework forUrban Traffic Prediction
Rodrigo de Medrano, José L. Aznarte
http://arxiv.org/abs/2003.13977v1

• [cs.LG]COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie
http://arxiv.org/abs/2003.13865v1

• [cs.LG]CPFed: Communication-Efficient and Privacy-Preserving Federated Learning
Rui Hu, Yanmin Gong, Yuanxiong Guo
http://arxiv.org/abs/2003.13761v1

• [cs.LG]Dataless Model Selection with the Deep Frame Potential
Calvin Murdock, Simon Lucey
http://arxiv.org/abs/2003.13866v1

• [cs.LG]Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing
Nora Castner, Thomas Kübler, Katharina Scheiter, Juilane Richter, Thérése Eder, Fabian Hüttig, Constanze Keutel, Enkelejda Kasneci
http://arxiv.org/abs/2003.13987v1

• [cs.LG]DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
http://arxiv.org/abs/2003.13902v1

• [cs.LG]Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley, Alun Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett
http://arxiv.org/abs/2003.14285v1

• [cs.LG]From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case
David Hurwitz
http://arxiv.org/abs/2003.13767v1

• [cs.LG]Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp
http://arxiv.org/abs/2003.13432v2

• [cs.LG]Inference with Aggregate Data: An Optimal Transport Approach
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
http://arxiv.org/abs/2003.13933v1

• [cs.LG]Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation
Abdulrahman Alabdulkareem, Jean Honorio
http://arxiv.org/abs/2003.13881v1

• [cs.LG]L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
http://arxiv.org/abs/2003.13606v2

• [cs.LG]Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model
Idan Azuri, Daphna Weinshall
http://arxiv.org/abs/2003.14297v1

• [cs.LG]Leverage the Average: an Analysis of Regularization in RL
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
http://arxiv.org/abs/2003.14089v1

• [cs.LG]MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu
http://arxiv.org/abs/2003.14058v1

• [cs.LG]NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang
http://arxiv.org/abs/rg/abs/2003.12857v1

• [cs.LG]NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain
Ayush Jain, Meenachi Ganesamoorty
http://arxiv.org/abs/2003.13821v1

• [cs.LG]Parallelization of Monte Carlo Tree Search in Continuous Domains
Karl Kurzer, Christoph Hörtnagl, J. Marius Zöllner
http://arxiv.org/abs/2003.13741v1

• [cs.LG]Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
http://arxiv.org/abs/2003.14127v1

• [cs.LG]Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction
Zitao Chen, Guanpeng Li, Karthik Pattabiraman
http://arxiv.org/abs/2003.13874v1

• [cs.LG]Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
http://arxiv.org/abs/2003.13964v1

• [cs.LG]Robotic Table Tennis with Model-Free Reinforcement Learning
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
http://arxiv.org/abs/2003.14398v1

• [cs.LG]Sample Efficient Ensemble Learning with Catalyst.RL
Sergey Kolesnikov, Valentin Khrulkov
http://arxiv.org/abs/2003.14210v1

• [cs.MA]Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints
Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn
http://arxiv.org/abs/2003.13806v1

• [cs.MA]Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization
Stefan Vlaski, Ali H. Sayed
http://arxiv.org/abs/2003.14366v1

• [cs.MM]Social-Sensor Composition for Tapestry Scenes
Tooba Aamir, Hai Dong, Athman Bouguettaya
http://arxiv.org/abs/2003.13684v1

• [cs.NE]Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic, Cameron Chalk, Sarfraz Khurshid, David Soloveichik
http://arxiv.org/abs/2003.13720v1

• [cs.NE]Extending BrainScaleS OS for BrainScaleS-2
Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo Wunderlich, Johannes Schemmel
http://arxiv.org/abs/2003.13750v1

• [cs.NE]Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model
Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin
http://arxiv.org/abs/2003.13850v1

• [cs.NE]Initial Design Strategies and their Effects on Sequential Model-Based Optimization
Jakob Bossek, Carola Doerr, Pascal Kerschke
http://arxiv.org/abs/2003.13826v1

• [cs.NE]The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel
http://arxiv.org/abs/2003.13749v1

• [cs.NI]Software-Defined Radio Implementation of Age-of-Information-Oriented Random Access
Zixiao Han, Jiaxin Liang, Yifan Gu, He Chen
http://arxiv.org/abs/2003.14329v1

• [cs.RO]Autonomous Cave Surveying with an Aerial Robot
Wennie Tabib, Kshitij Goel, John Yao, Curtis Boirum, Nathan Michael
http://arxiv.org/abs/2003.13883v1

• [cs.RO]Can underwater robotics technology save submerged Cultural Heritage?
R. dell’Erba, C. Moriconi, A. Trocciola
http://arxiv.org/abs/2003.14149v1

• [cs.RO]Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
Shaochi Hu, Donghao Xu, Huijing Zhao
http://arxiv.org/abs/2003.13930v1

• [cs.RO]Enabling Topological Planning with Monocular Vision
Gregory J. Stein, Christopher Bradley, Victoria Preston, Nicholas Roy
http://arxiv.org/abs/2003.14368v1

• [cs.RO]Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots
Michael J. Sorocky, Siqi Zhou, Angela P. Schoellig
http://arxiv.org/abs/rg/abs/2003.13150v1

• [cs.RO]HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata
http://arxiv.org/abs/2003.14121v1

• [cs.RO]Metric Monocular Localization Using Signed Distance Fields
Huaiyang Huang, Yuxiang Sun, Haoyang Ye, Ming Liu
http://arxiv.org/abs/2003.14157v1

• [cs.RO]OneShot Global Localization: Instant LiDAR-Visual Pose Estimation
Sebastian Ratz, Marcin Dymczyk, Roland Siegwart, Renaud Dubé
http://arxiv.org/abs/2003.13279v2

• [cs.RO]Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks
Guangyao Shi, Lifeng Zhou, Pratap Tokekar
http://arxiv.org/abs/2003.13896v1

• [cs.RO]Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene
Jilin Mei, Huijing Zhao
http://arxiv.org/abs/2003.13926v1

• [cs.RO]TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions
Anirudh Vemula, J. Andrew Bagnell
http://arxiv.org/abs/2003.14393v1

• [cs.RO]TartanAir: A Dataset to Push the Limits of Visual SLAM
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian Scherer
http://arxiv.org/abs/2003.14338v1

• [cs.RO]The Pluggable Distributed Resource Allocator (PDRA): a Middleware for Distributed Computing in Mobile Robotic Networks
Federico Rossi, Tiago Stegun Vaquero, Marc Sanchez Net, Maíra Saboia da Silva, and Joshua Vander Hook
http://arxiv.org/abs/2003.13813v1

• [cs.SE]Detection of FLOSS version release events from Stack Overflow message data
A. Sokolovsky, T. Gross, J. Bacardit
http://arxiv.org/abs/2003.14257v1

• [cs.SE]On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models
Aalok Ahluwalia, Massimiliano Di Penta, Davide Falessi
http://arxiv.org/abs/2003.14376v1

• [cs.SI]A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts
Adam Wolisz
http://arxiv.org/abs/2003.14243v1

• [cs.SI]A first look at COVID-19 information and misinformation sharing on Twitter
Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily Vraga, Yanchen Wang
http://arxiv.org/abs/2003.13907v1

• [cs.SI]Hurricanes and hashtags: Characterizing online collective attention for natural disasters
Michael V. Arnold, David Rushing Dewhurst, Thayer Alshaabi, Joshua R. Minot, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2003.14291v1

• [cs.SI]Mobility Changes in Response to COVID-19
Michael S. Warren, Samuel W. Skillman
http://arxiv.org/abs/2003.14228v1

• [cs.SI]Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes
Yijun Tian, Rumi Chunara
http://arxiv.org/abs/2003.13783v1

• [cs.SI]The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19
Hiroyasu Inoue, Yasuyuki Todo
http://arxiv.org/abs/2003.14002v1

• [econ.EM]A wavelet analysis of inter-dependence, contagion and long memory among global equity markets
Avishek Bhandari
http://arxiv.org/abs/2003.14110v1

• [econ.EM]Specification tests for generalized propensity scores using double projections
Pedro H. C. Sant’Anna, Xiaojun Song
http://arxiv.org/abs/2003.13803v1

• [eess.AS]Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
http://arxiv.org/abs/2003.13917v1

• [eess.IV]A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan
http://arxiv.org/abs/2003.13969v1

• [eess.IV]Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning
Khalid El Asnaoui, Youness Chawki, Ali Idri
http://arxiv.org/abs/2003.14363v1

• [eess.IV]COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
Muhammad Farooq, Abdul Hafeez
http://arxiv.org/abs/2003.14395v1

• [eess.IV]Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo
http://arxiv.org/abs/2003.13659v2

• [eess.IV]Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
Manohar Karki, Junghwan Cho
http://arxiv.org/abs/2003.13868v1

• [eess.IV]Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
http://arxiv.org/abs/2003.14119v1

• [eess.IV]Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net
Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin, Dmitry Umerenkov
http://arxiv.org/abs/2003.14287v1

• [eess.IV]Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization
Jiahong Ouyang, Qingyu Zhao, Edith V Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M Pohl
http://arxiv.org/abs/2003.13958v1

• [eess.IV]Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes
Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang
http://arxiv.org/abs/2003.14013v1

• [eess.SP]Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction
Juan Bógalo, Pilar Poncela, Eva Senra
http://arxiv.org/abs/2003.12859v1

• [eess.SP]Indoor Distance Estimation using LSTMs over WLAN Network
Pranav Sankhe, Saqib Azim, Sachin Goyal, Tanya Choudhary, Kumar Appaiah, Sukumar Srikant
http://arxiv.org/abs/2003.13991v1

• [eess.SP]Joint Orthogonal Band and Power Allocation for Energy Fairness in WPT System with Nonlinear Logarithmic Energy Harvesting Model
Jaeseob Han, Gyeong Ho Lee, Sangdon Park, Jun Kyun Choi
http://arxiv.org/abs/2003.13255v1

• [eess.SY]Covariance-Robust Dynamic Watermarking
Matt Olfat, Stephen Sloan, Pedro Hespanhol, Matt Porter, Ram Vasudevan, Anil Aswani
http://arxiv.org/abs/2003.13908v1

• [eess.SY]Deep State Space Models for Nonlinear System Identification
Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
http://arxiv.org/abs/2003.14162v1

• [eess.SY]Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties
Qingrui Zhang, Wei Pan, Vasso Reppa
http://arxiv.org/abs/2003.13839v1

• [math.CO]A formula on the weight distribution of linear codes with applications to AMDS codes
Alessio Meneghetti, Marco Pellegrini, Massimiliano Sala
http://arxiv.org/abs/2003.14063v1

• [math.CO]On subspaces of Kloosterman zeros and permutations of the form $L_1(x^{-1})+L_2(x)$
Faruk Göloğlu, Lukas Kölsch, Gohar Kyureghyan, Léo Perrin
http://arxiv.org/abs/2003.14068v1

• [math.CO]On the decoding of 1-Fibonacci error correcting codes
Emanuele Bellini, Chiara Marcolla, Nadir Murru
http://arxiv.org/abs/2003.12991v1

• [math.NA]A Sampling Theorem for Deconvolution in Two Dimensions
Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
http://arxiv.org/abs/2003.13784v1

• [math.OC]A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
Shi Pu
http://arxiv.org/abs/2003.13980v1

• [math.OC]Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj, Francis Bach
http://arxiv.org/abs/2003.13807v1

• [math.OC]Reflected Schrödinger Bridge: Density Control with Path Constraints
Kenneth F. Caluya, Abhishek Halder
http://arxiv.org/abs/2003.13895v1

• [math.PR]A Central Limit Theorem for Martin-Löf Random Numbers
Anton Vuerinckx, Yves Moreau
http://arxiv.org/abs/2003.14025v1

• [math.PR]Sharp Concentration Results for Heavy-Tailed Distributions
Milad Bakhshizadeh, Arian Maleki, Victor H. de la Pena
http://arxiv.org/abs/2003.13819v1

• [math.ST]Adaptive Estimation of Multivariate Regression with Hidden Variables
Xin Bing, Yang Ning, Yaosheng Xu
http://arxiv.org/abs/2003.13844v1

• [math.ST]New exponential dispersion models for count data — properties and applications
Shaul K. Bar-Lev, Ad Ridder
http://arxiv.org/abs/2003.13849v1

• [math.ST]On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods
Yue Ju, Tianshi Chen, Biqiang Mu, Lennart Ljung
http://arxiv.org/abs/2003.13435v1

• [math.ST]On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
Joshua Agterberg, Minh Tang, Carey E. Priebe
http://arxiv.org/abs/2003.14250v1

• [math.ST]On the the linear processes of a stationary time series AR(2)
Mouloud Goubi
http://arxiv.org/abs/2003.13938v1

• [math.ST]Regularization in High-Dimensional Regression and Classification via Random Matrix Theory
Panagiotis Lolas
http://arxiv.org/abs/2003.13723v1

• [physics.flu-dyn]Controlling Rayleigh-Bénard convection via Reinforcement Learning
Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi
http://arxiv.org/abs/2003.14358v1

• [physics.soc-ph]A Modified SIR Model for the COVID-19 Contagion in Italy
Giuseppe C. Calafiore, Carlo Novara, Corrado Possieri
http://arxiv.org/abs/2003.14391v1

• [physics.soc-ph]Infostop: Scalable stop-location detection in multi-user mobility data
Ulf Aslak, Laura Alessandretti
http://arxiv.org/abs/2003.14370v1

• [physics.soc-ph]Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning
Harshad Khadilkar, Tanuja Ganu, Deva P Seetharam
http://arxiv.org/abs/2003.14093v1

• [physics.soc-ph]Problems with classification, hypothesis testing, and estimator convergence in the analysis of degree distributions in networks
Pim van der Hoorn, Ivan Voitalov, Remco van der Hofstad, Dmitri Krioukov
http://arxiv.org/abs/2003.14012v1

• [q-bio.BM]Application and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists
Katherine J. Schultz, Sean M. Colby, Yasemin Yesiltepe, Jamie R. Nuñez, Monee Y. McGrady, Ryan R. Renslow
http://arxiv.org/abs/2003.14360v1

• [q-bio.PE]Understanding the COVID19 Outbreak: A Comparative Data Analytics and Study
Anis Koubaa
http://arxiv.org/abs/2003.14150v1

• [q-bio.QM]Autonomous discovery in the chemical sciences part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
http://arxiv.org/abs/2003.13754v1

• [q-bio.QM]Autonomous discovery in the chemical sciences part II: Outlook
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
http://arxiv.org/abs/2003.13755v1

• [q-fin.PM]A Framework for Online Investment Algorithms
Andrew Paskaramoorthy, Terence van Zyl, Tim Gebbie
http://arxiv.org/abs/2003.13360v1

• [q-fin.RM]Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework
Benjamin Avanzi, Greg Taylor, Bernard Wong, Alan Xian
http://arxiv.org/abs/2003.13888v1

• [quant-ph]Quantum Godwin’s Law
Michalis Skotiniotis, Andreas Winter
http://arxiv.org/abs/2003.13715v1

• [stat.AP]Accelerography: Feasibility of Gesture Typing using Accelerometer
Arindam Roy Chowdhury, Abhinandan Dalal, Shubhajit Sen
http://arxiv.org/abs/2003.14310v1

• [stat.AP]Clustering of Arrivals in Queueing Systems: Autoregressive Conditional Duration Approach
Petra Tomanová, Vladimír Holý
http://arxiv.org/abs/2003.14382v1

• [stat.AP]Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach
Francis X. Diebold, Maximilian Göbel, Philippe Goulet Coulombe, Glenn D. Rudebusch, Boyuan Zhang
http://arxiv.org/abs/2003.14276v1

• [stat.AP]Survey Data and Human Computation for Improved Flu Tracking
Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan Miguel Lavista, Gary King, Ryan Kennedy, Alessandro Vespignani, David Lazer
http://arxiv.org/abs/2003.13822v1

• [stat.ME]A flexible adaptive lasso Cox frailty model based on the full likelihood
Maike Hohberg, Andreas Groll
http://arxiv.org/abs/2003.14118v1

• [stat.ME]Efficient identification of infected sub-population
Anže Slosar
http://arxiv.org/abs/2003.14337v1

• [stat.ME]Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
Nima S. Hejazi, Mark J. van der Laan, Holly E. Janes, Peter B. Gilbert, David C. Benkeser
http://arxiv.org/abs/2003.13771v1

• [stat.ME]Exponential Dispersion Models for Overdispersed Zero-Inflated Count Data
Shaul K. Bar-Lev, Ad Ridder
http://arxiv.org/abs/2003.13854v1

• [stat.ME]Fairness Evaluation in Presence of Biased Noisy Labels
Riccardo Fogliato, Max G’Sell, Alexandra Chouldechova
http://arxiv.org/abs/2003.13808v1

• [stat.ME]Naive linkage error corrected dual system estimation
Viktor Račinskij
http://arxiv.org/abs/2003.
4b8c
13080v1.
4b8c
13080v1)

• [stat.ME]Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation
Jan Górecki, Marius Hofert, Ostap Okhrin
http://arxiv.org/abs/2003.13301v2

• [stat.ML]A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Philippe Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser
http://arxiv.org/abs/2003.14263v1

• [stat.ML]Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
http://arxiv.org/abs/2003.14286v1

• [stat.ML]Flows for simultaneous manifold learning and density estimation
Johann Brehmer, Kyle Cranmer
http://arxiv.org/abs/2003.13913v1

• [stat.ML]Learning Theory for Estimation of Animal Motion Submanifolds
Nathan Powell, Andrew Kurdila
http://arxiv.org/abs/2003.13811v1

• [stat.ML]ManifoldNorm: Extending normalizations on Riemannian Manifolds
Rudrasis Chakraborty
http://arxiv.org/abs/2003.13869v1