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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 q-bio.QM - 定量方法 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]A Proposal for Intelligent Agents with Episodic Memory • [cs.AI]Adaptive Dialog Policy Learning with Hindsight and User Modeling • [cs.AI]Efficient Exact Verification of Binarized Neural Networks • [cs.AI]Exploring Exploration: Comparing Children with RL Agents in Unified Environments • [cs.AI]Fault Tree Analysis: Identifying Maximum Probability Minimal Cut Sets with MaxSAT • [cs.AI]Inference with Choice Functions Made Practical • [cs.AI]Playing Minecraft with Behavioural Cloning • [cs.AI]Technical Report of “Deductive Joint Support for Rational Unrestricted Rebuttal” • [cs.CL]2kenize: Tying Subword Sequences for Chinese Script Conversion • [cs.CL]A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type • [cs.CL]Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality • [cs.CL]Diagnosing the Environment Bias in Vision-and-Language Navigation • [cs.CL]Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation • [cs.CL]DramaQA: Character-Centered Video Story Understanding with Hierarchical QA • [cs.CL]Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia • [cs.CL]Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches • [cs.CL]Fact-based Dialogue Generation with Convergent and Divergent Decoding • [cs.CL]Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences • [cs.CL]JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation • [cs.CL]Learning Implicit Text Generation via Feature Matching • [cs.CL]Learning Robust Models for e-Commerce Product Search • [cs.CL]MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis • [cs.CL]Nakdan: Professional Hebrew Diacritizer • [cs.CL]On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation • [cs.CL]Quda: Natural Language Queries for Visual Data Analytics • [cs.CL]The Cascade Transformer: an Application for Efficient Answer Sentence Selection • [cs.CL]The Danish Gigaword Project • [cs.CL]The Perceptimatic English Benchmark for Speech Perception Models • [cs.CL]Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting • [cs.CL]Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents • [cs.CL]Where is Linked Data in Question Answering over Linked Data? • [cs.CR]COVID-19 Contact-tracing Apps: A Survey on the Global Deployment and Challenges • [cs.CR]Catch Me If You Can: Using Power Analysis to Identify HPC Activity • [cs.CR]Collaborative Deanonymization • [cs.CR]WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II • [cs.CV]A Dynamical Perspective on Point Cloud Registration • [cs.CV]DMCP: Differentiable Markov Channel Pruning for Neural Networks • [cs.CV]Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data • [cs.CV]Deep Learning based Person Re-identification • [cs.CV]Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines • [cs.CV]Deeply Supervised Active Learning for Finger Bones Segmentation • [cs.CV]End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification • [cs.CV]Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation • [cs.CV]Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies • [cs.CV]GraCIAS: Grassmannian of Corrupted Images for Adversarial Security • [cs.CV]Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room • [cs.CV]Hierarchical Attention Network for Action Segmentation • [cs.CV]Hierarchical Predictive Coding Models in a Deep-Learning Framework • [cs.CV]Kunster — AR Art Video Maker — Real time video neural style transfer on mobile devices • [cs.CV]Multi-Target Deep Learning for Algal Detection and Classification • [cs.CV]NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images • [cs.CV]NTIRE 2020 Challenge on Image Demoireing: Methods and Results • [cs.CV]NTIRE 2020 Challenge on NonHomogeneous Dehazing • [cs.CV]Recognizing Exercises and Counting Repetitions in Real Time • [cs.CV]Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation • [cs.CV]Scale-Equalizing Pyramid Convolution for Object Detection • [cs.CV]Scene Text Image Super-Resolution in the Wild • [cs.CV]Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network • [cs.CV]Self-Supervised Human Depth Estimation from Monocular Videos • [cs.CV]Semantic Signatures for Large-scale Visual Localization • [cs.CV]Text Recognition in the Wild: A Survey • [cs.CV]Wavelet Integrated CNNs for Noise-Robust Image Classification • [cs.CV]What comprises a good talking-head video generation?: A Survey and Benchmark • [cs.DB]Boosting Cloud Data Analytics using Multi-Objective Optimization • [cs.DC]AIOps for a Cloud Object Storage Service • [cs.DC]Fast Mapping onto Census Blocks • [cs.DS]Determinantal Point Processes in Randomized Numerical Linear Algebra • [cs.GR]Vid2Curve: Simultaneously Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video • [cs.HC]Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection • [cs.HC]p for political: Participation Without Agency Is Not Enough • [cs.IR]Bundle Recommendation with Graph Convolutional Networks • [cs.IR]CounQER: A System for Discovering and Linking Count Information in Knowledge Bases • [cs.IR]Knowledge Enhanced Neural Fashion Trend Forecasting • [cs.IT]A Stochastic Geometry Approach to Doppler Characterization in a LEO Satellite Network • [cs.IT]Coding for Optimized Writing Rate in DNA Storage • [cs.IT]Constrained de Bruijn Codes: Properties, Enumeration, Constructions, and Applications • [cs.IT]Nonparametric Estimation of the Fisher Information and Its Applications • [cs.IT]OTFS-NOMA based on SCMA • [cs.IT]Phase retrieval of complex-valued objects via a randomized Kaczmarz method • [cs.IT]Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access • [cs.LG]Active Learning with Multiple Kernels • [cs.LG]An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set • [cs.LG]CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion • [cs.LG]Collective Loss Function for Positive and Unlabeled Learning • [cs.LG]Curious Hierarchical Actor-Critic Reinforcement Learning • [cs.LG]Deep learning of physical laws from scarce data • [cs.LG]Domain Adaptation in Highly Imbalanced and Overlapping Datasets • [cs.LG]Ensuring Fairness under Prior Probability Shifts • [cs.LG]Fair Algorithms for Hierarchical Agglomerative Clustering • [cs.LG]Feature Selection Methods for Uplift Modeling • [cs.LG]Generative Feature Replay with Orthogonal Weight Modification for Continual Learning • [cs.LG]Interpreting Deep Models through the Lens of Data • [cs.LG]Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection • [cs.LG]Joint Multi-Dimensional Model for Global and Time-Series Annotations • [cs.LG]Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks • [cs.LG]Lifted Regression/Reconstruction Networks • [cs.LG]Local Cascade Ensemble for Multivariate Data Classification • [cs.LG]Multi-Label Sampling based on Local Label Imbalance • [cs.LG]Noisy Differentiable Architecture Search • [cs.LG]Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms • [cs.LG]Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks • [cs.LG]Plan2Vec: Unsupervised Representation Learning by Latent Plans • [cs.LG]Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach • [cs.LG]Reducing Communication in Graph Neural Network Training • [cs.LG]Safe Reinforcement Learning through Meta-learned Instincts • [cs.LG]SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation • [cs.LG]Subdomain Adaptation with Manifolds Discrepancy Alignment • [cs.LG]Towards Frequency-Based Explanation for Robust CNN • [cs.LG]Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q • [cs.LG]Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait Patterns • [cs.LG]Visualisation and knowledge discovery from interpretable models • [cs.LO]Checking Qualitative Liveness Properties of Replicated Systems with Stochastic Scheduling • [cs.LO]On the Learnability of Possibilistic Theories • [cs.MM]Multi-view data capture using edge-synchronised mobiles • [cs.NE]A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm • [cs.NE]Brain-like approaches to unsupervised learning of hidden representations — a comparative study • [cs.NE]Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes • [cs.NE]Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks • [cs.NI]A Review of Computer Vision Methods in Network Security • [cs.RO]A LiDAR-based real-time capable 3D Perception System for Automated Driving in Urban Domains • [cs.RO]Active Intent Disambiguation for Shared Control Robots • [cs.RO]Arranging Test Tubes in Racks Using Combined Task and Motion Planning • [cs.RO]AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing • [cs.RO]Datom: A Deformable modular robot for building self-reconfigurable programmable matter • [cs.RO]Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies • [cs.RO]Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving • [cs.RO]Multi-Resolution POMDP Planning for Multi-Object Search in 3D • [cs.RO]Real-Time Context-aware Detection of Unsafe Events in Robot-Assisted Surgery • [cs.RO]Shared Autonomy with Learned Latent Actions • [cs.SE]YANG2UML: Bijective Transformation and Simplification of YANG to UML • [cs.SI]Causal Paths in Temporal Networks of Face-to-Face Human Interactions • [cs.SI]Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter • [cs.SI]Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs • [econ.EM]Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis • [econ.EM]Detecting Latent Communities in Network Formation Models • [econ.EM]Diffusion Copulas: Identification and Estimation • [econ.EM]Distributional Robustness of K-class Estimators and the PULSE • [econ.EM]Know Your Clients’ behaviours: a cluster analysis of financial transactions • [eess.AS]ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context • [eess.AS]Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data • [eess.AS]Crop Aggregating for short utterances speaker verification using raw waveforms • [eess.AS]Mutli-task Learning with Alignment Loss for Far-field Small-Footprint Keyword Spotting • [eess.AS]RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions • [eess.IV]Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT • [eess.IV]CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image • [eess.IV]Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans • [eess.IV]Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning • [eess.IV]Encoding in the Dark Grand Challenge: An Overview • [eess.IV]How Can CNNs Use Image Position for Segmentation? • [eess.IV]Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan • [eess.IV]Line Artefact Quantification in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularisation • [eess.IV]NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image • [eess.IV]Scoring Root Necrosis in Cassava Using Semantic Segmentation • [eess.SP]Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques • [math.DS]Conley’s fundamental theorem for a class of hybrid systems • [math.NA]Model Reduction and Neural Networks for Parametric PDEs • [math.OC]An Optimal Control Theory for the Traveling Salesman Problem and Its Variants • [math.PR]Convergence and inference for mixed Poisson random sums • [math.PR]Estimating customer impatience in a service system with balking • [math.PR]Strong replica symmetry in high-dimensional optimal Bayesian inference • [math.PR]Universal Coding and Prediction on Martin-Löf Random Points • [math.ST]How many modes can a constrained Gaussian mixture have? • [math.ST]Learning on dynamic statistical manifolds • [math.ST]Phase Transitions of the Maximum Likelihood Estimates in the Tensor Curie-Weiss Model • [math.ST]Statistical errors in Monte Carlo-based inference for random elements • [physics.ao-ph]Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications • [q-bio.QM]Adaptive Invariance for Molecule Property Prediction • [q-bio.QM]COVID-19 transmission risk factors • [q-fin.RM]On unbalanced data and common shock models in stochastic loss reserving • [quant-ph]Quantum correlation alignment for unsupervised domain adaptation • [stat.AP]A simulation study of disaggregation regression for spatial disease mapping • [stat.AP]Classification of pediatric pneumonia using chest X-rays by functional regression • [stat.AP]Sequential Aggregation of Probabilistic Forecasts — Applicaton to Wind Speed Ensemble Forecasts • [stat.CO]On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle • [stat.ME]A comparison of group testing architectures for COVID-19 testing • [stat.ME]Fractional ridge regression: a fast, interpretable reparameterization of ridge regression • [stat.ME]Modeling High-Dimensional Unit-Root Time Series • [stat.ME]On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference • [stat.ME]Robust location estimators in regression models with covariates and responses missing at random • [stat.ML]A Locally Adaptive Interpretable Regression • [stat.ML]Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network • [stat.ML]MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation • [stat.ML]Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion ····································· • [cs.AI]A Proposal for Intelligent Agents with Episodic Memory David Murphy, Thomas S. Paula, Wagston Staehler, Juliano Vacaro, Gabriel Paz, Guilherme Marques, Bruna Oliveira http://arxiv.org/abs/2005.03182v1 • [cs.AI]Adaptive Dialog Policy Learning with Hindsight and User Modeling Yan Cao, Keting Lu, Xiaoping Chen, Shiqi Zhang http://arxiv.org/abs/2005.03299v1 • [cs.AI]Efficient Exact Verification of Binarized Neural Networks Kai Jia, Martin Rinard http://arxiv.org/abs/2005.03597v1 • [cs.AI]Exploring Exploration: Comparing Children with RL Agents in Unified Environments Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Huang, Alison Gopnik, John Canny http://arxiv.org/abs/2005.02880v1 • [cs.AI]Fault Tree Analysis: Identifying Maximum Probability Minimal Cut Sets with MaxSAT Martín Barrère, Chris Hankin http://arxiv.org/abs/2005.03003v1 • [cs.AI]Inference with Choice Functions Made Practical Arne Decadt, Jasper De Bock, Gert de Cooman http://arxiv.org/abs/2005.03098v1 • [cs.AI]Playing Minecraft with Behavioural Cloning Anssi Kanervisto, Janne Karttunen, Ville Hautamäki http://arxiv.org/abs/2005.03374v1 • [cs.AI]Technical Report of “Deductive Joint Support for Rational Unrestricted Rebuttal” Marcos Cramer, Meghna Bhadra http://arxiv.org/abs/2005.03620v1 • [cs.CL]2kenize: Tying Subword Sequences for Chinese Script Conversion Pranav A, Isabelle Augenstein http://arxiv.org/abs/2005.03375v1 • [cs.CL]A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type Trevor Cohen, Serguei Pakhomov http://arxiv.org/abs/2005.03593v1 • [cs.CL]Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality Lachlan McPheat, Mehrnoosh Sadrzadeh, Hadi Wazni, Gijs Wijnholds http://arxiv.org/abs/2005.03074v1 • [cs.CL]Diagnosing the Environment Bias in Vision-and-Language Navigation Yubo Zhang, Hao Tan, Mohit Bansal http://arxiv.org/abs/2005.03086v1 • [cs.CL]Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li http://arxiv.org/abs/2005.03393v1 • [cs.CL]DramaQA: Character-Centered Video Story Understanding with Hierarchical QA Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Minsu Lee, Byoung-Tak Zhang http://arxiv.org/abs/2005.03356v1 • [cs.CL]Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia Artem Kramov http://arxiv.org/abs/2005.03008v1 • [cs.CL]Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches Tianze Shi, Lillian Lee http://arxiv.org/abs/2005.03035v1 • [cs.CL]Fact-based Dialogue Generation with Convergent and Divergent Decoding Ryota Tanaka, Akinobu Lee http://arxiv.org/abs/2005.03174v1 • [cs.CL]Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend http://arxiv.org/abs/2005.03436v1 • [cs.CL]JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation Zhuoyuan Mao, Fabien Cromieres, Raj Dabre, Haiyue Song, Sadao Kurohashi http://arxiv.org/abs/2005.03361v1 • [cs.CL]Learning Implicit Text Generation via Feature Matching Inkit Padhi, Pierre Dognin, Ke Bai, Cicero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das http://arxiv.org/abs/2005.03588v1 • [cs.CL]Learning Robust Models for e-Commerce Product Search Thanh V. Nguyen, Nikhil Rao, Karthik Subbian http://arxiv.org/abs/2005.03624v1 • [cs.CL]MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria http://arxiv.org/abs/2005.03545v1 • [cs.CL]Nakdan: Professional Hebrew Diacritizer Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, Yoav Goldberg http://arxiv.org/abs/2005.03312v1 • [cs.CL]On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation Chaojun Wang, Rico Sennrich http://arxiv.org/abs/2005.03642v1 • [cs.CL]Quda: Natural Language Queries for Visual Data Analytics Siwei Fu, Kai Xiong, Xiaodong Ge, Yingcai Wu, Siliang Tang, Wei Chen http://arxiv.org/abs/2005.03257v1 • [cs.CL]The Cascade Transformer: an Application for Efficient Answer Sentence Selection Luca Soldaini, Alessandro Moschitti http://arxiv.org/abs/2005.02534v2 • [cs.CL]The Danish Gigaword Project Leon Strømberg-Derczynski, Rebekah Baglini, Morten H. Christiansen, Manuel R. Ciosici, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab http://arxiv.org/abs/2005.03521v1 • [cs.CL]The Perceptimatic English Benchmark for Speech Perception Models Juliette Millet, Ewan Dunbar http://arxiv.org/abs/2005.03418v1 • [cs.CL]Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander Hauptmann http://arxiv.org/abs/2005.03119v1 • [cs.CL]Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents Asir Saeed, Khai Mai, Pham Minh, Nguyen Tuan Duc, Danushka Bollegala http://arxiv.org/abs/2005.03066v1 • [cs.CL]Where is Linked Data in Question Answering over Linked Data? Tommaso Soru, Edgard Marx, André Valdestilhas, Diego Moussallem, Gustavo Publio, Muhammad Saleem http://arxiv.org/abs/2005.03640v1 • [cs.CR]COVID-19 Contact-tracing Apps: A Survey on the Global Deployment and Challenges Jinfeng Li, Xinyi Guo http://arxiv.org/abs/2005.03599v1 • [cs.CR]Catch Me If You Can: Using Power Analysis to Identify HPC Activity Bogdan Copos, Sean Peisert http://arxiv.org/abs/2005.03135v1 • [cs.CR]Collaborative Deanonymization Patrik Keller, Martin Florian, Rainer Böhme http://arxiv.org/abs/2005.03535v1 • [cs.CR]WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati, Modjtaba Rouhani http://arxiv.org/abs/2005.03382v1 • [cs.CV]A Dynamical Perspective on Point Cloud Registration Heng Yang http://arxiv.org/abs/2005.03190v1 • [cs.CV]DMCP: Differentiable Markov Channel Pruning for Neural Networks Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan http://arxiv.org/abs/2005.03354v1 • [cs.CV]Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data Nantheera Anantrasirichai, Juliet Biggs, Krisztina Kelevitz, Zahra Sadeghi, Tim Wright, James Thompson, Alin Achim, David Bull http://arxiv.org/abs/2005.03221v1 • [cs.CV]Deep Learning based Person Re-identification Nirbhay Kumar Tagore, Ayushman Singh, Sumanth Manche, Pratik Chattopadhyay http://arxiv.org/abs/2005.03293v1 • [cs.CV]Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines Gabriel Salomon, Rayson Laroca, David Menotti http://arxiv.org/abs/2005.03106v1 • [cs.CV]Deeply Supervised Active Learning for Finger Bones Segmentation Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng http://arxiv.org/abs/2005.03225v1 • [cs.CV]End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes http://arxiv.org/abs/2005.03222v1 • [cs.CV]Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo http://arxiv.org/abs/2005.03572v1 • [cs.CV]Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies Muhammad Ali Farooq, Peter Corcoran http://arxiv.org/abs/2005.01923v2 • [cs.CV]GraCIAS: Grassmannian of Corrupted Images for Adversarial Security Ankita Shukla, Pavan Turaga, Saket Anand http://arxiv.org/abs/2005.02936v2 • [cs.CV]Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room Lena Maier-Hein, Martin Wagner, Tobias Ross, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mindroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Martin Apitz, Stefanie Speidel, Hannes G. Kenngott, Beat P. Müller-Stich http://arxiv.org/abs/2005.03501v1 • [cs.CV]Hierarchical Attention Network for Action Segmentation Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes http://arxiv.org/abs/2005.03209v1 • [cs.CV]Hierarchical Predictive Coding Models in a Deep-Learning Framework Matin Hosseini, Anthony Maida http://arxiv.org/abs/2005.03230v1 • [cs.CV]Kunster — AR Art Video Maker — Real time video neural style transfer on mobile devices Wojciech Dudzik, Damian Kosowski http://arxiv.org/abs/2005.03415v1 • [cs.CV]Multi-Target Deep Learning for Algal Detection and Classification Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng http://arxiv.org/abs/2005.03232v1 • [cs.CV]NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte http://arxiv.org/abs/2005.03560v1 • [cs.CV]NTIRE 2020 Challenge on Image Demoireing: Methods and Results Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P S, Jiji C V, Ashish Sinha, Xuan Zhao http://arxiv.org/abs/2005.03155v1 • [cs.CV]NTIRE 2020 Challenge on NonHomogeneous Dehazing Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal http://arxiv.org/abs/2005.03457v1 • [cs.CV]Recognizing Exercises and Counting Repetitions in Real Time Talal Alatiah, Chen Chen http://arxiv.org/abs/2005.03194v1 • [cs.CV]Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation Masahiro Oda, Natsuki Shimizu, Ken’ichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori http://arxiv.org/abs/2005.03345v1 • [cs.CV]Scale-Equalizing Pyramid Convolution for Object Detection Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang http://arxiv.org/abs/2005.03101v1 • [cs.CV]Scene Text Image Super-Resolution in the Wild Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai http://arxiv.org/abs/2005.03341v1 • [cs.CV]Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network Antonio José G. Busson, Sérgio Colcher, Ruy Luiz Milidiú, Bruno Pereira Dias, André Bulcão http://arxiv.org/abs/2005.03626v1 • [cs.CV]Self-Supervised Human Depth Estimation from Monocular Videos Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan http://arxiv.org/abs/2005.03358v1 • [cs.CV]Semantic Signatures for Large-scale Visual Localization Li Weng, Valerie Gouet-Brunet, Bahman Soheilian http://arxiv.org/abs/2005.03388v1 • [cs.CV]Text Recognition in the Wild: A Survey Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu, Canjie Luo, Tianwei Wang http://arxiv.org/abs/2005.03492v1 • [cs.CV]Wavelet Integrated CNNs for Noise-Robust Image Classification Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai http://arxiv.org/abs/2005.03337v1 • [cs.CV]What comprises a good talking-head video generation?: A Survey and Benchmark Lele Chen, Guofeng Cui, Ziyi Kou, Haitian Zheng, Chenliang Xu http://arxiv.org/abs/2005.03201v1 • [cs.DB]Boosting Cloud Data Analytics using Multi-Objective Optimization Fei Song, Khaled Zaouk, Chenghao Lyu, Arnab Sinha, Qi Fan, Yanlei Diao, Prashant Shenoy http://arxiv.org/abs/2005.03314v1 • [cs.DC]AIOps for a Cloud Object Storage Service Anna Levin, Shelly Garion, Elliot K. Kolodner, Dean H. Lorenz, Katherine Barabash, Mike Kugler, Niall McShane http://arxiv.org/abs/2005.03094v1 • [cs.DC]Fast Mapping onto Census Blocks Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar http://arxiv.org/abs/2005.03156v1 • [cs.DS]Determinantal Point Processes in Randomized Numerical Linear Algebra Michał Dereziński, Michael W. Mahoney http://arxiv.org/abs/2005.03185v1 • [cs.GR]Vid2Curve: Simultaneously Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video Peng Wang, Lingjie Liu, Nenglun Chen, Hung-Kuo Chu, Christian Theobalt, Wenping Wang http://arxiv.org/abs/2005.03372v1 • [cs.HC]Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection Noemi Mauro, Liliana Ardissono, Maurizio Lucenteforte http://arxiv.org/abs/2005.03531v1 • [cs.HC]p for political: Participation Without Agency Is Not Enough Aakash Gautam, Deborah Tatar http://arxiv.org/abs/2005.03534v1 • [cs.IR]Bundle Recommendation with Graph Convolutional Networks Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin http://arxiv.org/abs/2005.03475v1 • [cs.IR]CounQER: A System for Discovering and Linking Count Information in Knowledge Bases Shrestha Ghosh, Simon Razniewski, Gerhard Weikum http://arxiv.org/abs/2005.03529v1 • [cs.IR]Knowledge Enhanced Neural Fashion Trend Forecasting Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua http://arxiv.org/abs/2005.03297v1 • [cs.IT]A Stochastic Geometry Approach to Doppler Characterization in a LEO Satellite Network Talha Ahmed Khan, Mehrnaz Afshang http://arxiv.org/abs/2005.03205v1 • [cs.IT]Coding for Optimized Writing Rate in DNA Storage Siddharth Jain, Farzad Farnoud, Moshe Schwartz, Jehoshua Bruck http://arxiv.org/abs/2005.03248v1 • [cs.IT]Constrained de Bruijn Codes: Properties, Enumeration, Constructions, and Applications Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy, Van Khu Vu, Eitan yaakobi http://arxiv.org/abs/2005.03102v1 • [cs.IT]Nonparametric Estimation of the Fisher Information and Its Applications Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng http://arxiv.org/abs/2005.03622v1 • [cs.IT]OTFS-NOMA based on SCMA Kuntal Deka, Anna Thomas, Sanjeev Sharma http://arxiv.org/abs/2005.03216v1 • [cs.IT]Phase retrieval of complex-valued objects via a randomized Kaczmarz method Teng Zhang http://arxiv.org/abs/2005.03238v1 • [cs.IT]Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access Ralf Müller http://arxiv.org/abs/2005.03364v1 • [cs.LG]Active Learning with Multiple Kernels Songnam Hong, Jeongmin Chae http://arxiv.org/abs/2005.03188v1 • [cs.LG]An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set Shovik Ganguly, Atrayee Chatterjee, Debasmita Bhoumik, Ritajit Majumdar http://arxiv.org/abs/2005.03266v1 • [cs.LG]CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen, Wei-Chao Chen http://arxiv.org/abs/2005.03288v1 • [cs.LG]Collective Loss Function for Positive and Unlabeled Learning Chenhao Xie, Qiao Cheng, Jiaqing Liang, Lihan Chen, Yanghua Xiao http://arxiv.org/abs/2005.03228v1 • [cs.LG]Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter http://arxiv.org/abs/2005.03420v1 • [cs.LG]Deep learning of physical laws from scarce data Zhao Chen, Yang Liu, Hao Sun http://arxiv.org/abs/2005.03448v1 • [cs.LG]Domain Adaptation in Highly Imbalanced and Overlapping Datasets Ran Ilan Ber, Tom Haramaty http://arxiv.org/abs/2005.03585v1 • [cs.LG]Ensuring Fairness under Prior Probability Shifts Arpita Biswas, Suvam Mukherjee http://arxiv.org/abs/2005.03474v1 • [cs.LG]Fair Algorithms for Hierarchical Agglomerative Clustering Anshuman Chhabra, Prasant Mohapatra http://arxiv.org/abs/2005.03197v1 • [cs.LG]Feature Selection Methods for Uplift Modeling Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung http://arxiv.org/abs/2005.03447v1 • [cs.LG]Generative Feature Replay with Orthogonal Weight Modification for Continual Learning Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng http://arxiv.org/abs/2005.03490v1 • [cs.LG]Interpreting Deep Models through the Lens of Data Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed http://arxiv.org/abs/2005.03442v1 • [cs.LG]Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park, George Adosoglou, Panos M. Pardalos http://arxiv.org/abs/2005.01889v2 • [cs.LG]Joint Multi-Dimensional Model for Global and Time-Series Annotations Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan http://arxiv.org/abs/2005.03117v1 • [cs.LG]Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks Don M. Dini http://arxiv.org/abs/2005.03063v1 • [cs.LG]Lifted Regression/Reconstruction Networks Rasmus Kjær Høier, Christopher Zach http://arxiv.org/abs/2005.03452v1 • [cs.LG]Local Cascade Ensemble for Multivariate Data Classification Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier http://arxiv.org/abs/2005.03645v1 • [cs.LG]Multi-Label Sampling based on Local Label Imbalance Bin Liu, Konstantinos Blekas, Grigorios Tsoumak http://arxiv.org/abs/2005.03240v1 • [cs.LG]Noisy Differentiable Architecture Search Xiangxiang Chu, Bo Zhang, Xudong Li http://arxiv.org/abs/2005.03566v1 • [cs.LG]Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms Tengyu Xu, Zhe Wang, Yingbin Liang http://arxiv.org/abs/2005.03557v1 • [cs.LG]Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks Khemraj Shukla, Patricio Clark Di Leoni, James Blackshire, Daniel Sparkman, George Em Karniadakis http://arxiv.org/abs/2005.03596v1 • [cs.LG]Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra http://arxiv.org/abs/2005.03648v1 • [cs.LG]Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach Fernando Sánchez-Hernández, Juan Carlos Ballesteros-Herráez, Mohamed S. Kraiem, Mercedes Sánchez-Barba, María N. Moreno-García http://arxiv.org/abs/2005.03582v1 • [cs.LG]Reducing Communication in Graph Neural Network Training Alok Tripathy, Katherine Yelick, Aydin Buluc http://arxiv.org/abs/2005.03300v1 • [cs.LG]Safe Reinforcement Learning through Meta-learned Instincts Djordje Grbic, Sebastian Risi http://arxiv.org/abs/2005.03233v1 • [cs.LG]SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin http://arxiv.org/abs/2005.03403v1 • [cs.LG]Subdomain Adaptation with Manifolds Discrepancy Alignment Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong http://arxiv.org/abs/2005.03229v1 • [cs.LG]Towards Frequency-Based Explanation for Robust CNN Zifan Wang, Yilin Yang, Ankit Shrivastava, Varun Rawal, Zihao Ding http://arxiv.org/abs/2005.03141v1 • [cs.LG]Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q Vivek Dixit, Raja Selvarajan, Muhammad A. Alam, Travis S. Humble, Sabre Kais http://arxiv.org/abs/2005.03247v1 • [cs.LG]Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait Patterns Anirudh Som, Narayanan Krishnamurthi, Matthew Buman, Pavan Turaga http://arxiv.org/abs/2005.02589v2 • [cs.LG]Visualisation and knowledge discovery from interpretable models Sreejita Ghosh, Peter Tino, Kerstin Bunte http://arxiv.org/abs/2005.03632v1 • [cs.LO]Checking Qualitative Liveness Properties of Replicated Systems with Stochastic Scheduling Michael Blondin, Javier Esparza, Martin Helfrich, Antonín Kučera, Philipp J. Meyer http://arxiv.org/abs/2005.03555v1 • [cs.LO]On the Learnability of Possibilistic Theories Cosimo Persia, Ana Ozaki http://arxiv.org/abs/2005.03157v1 • [cs.MM]Multi-view data capture using edge-synchronised mobiles Matteo Bortolon, Paul Chippendale, Stefano Messelodi, Fabio Poiesi http://arxiv.org/abs/2005.03286v1 • [cs.NE]A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm Huynh Thi Thanh Binh, Pham Dinh Thanh, Tran Ba Trung, Le Cong Thanh, Le Minh Hai Phong, Ananthram Swami, Bui Thu Lam http://arxiv.org/abs/2005.03090v1 • [cs.NE]Brain-like approaches to unsupervised learning of hidden representations — a comparative study Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman http://arxiv.org/abs/2005.03476v1 • [cs.NE]Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan http://arxiv.org/abs/2005.03231v1 • [cs.NE]Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks Shaik Tanveer ul Huq, Vadlamani Ravi, Kalyanmoy Deb http://arxiv.org/abs/2005.03181v1 • [cs.NI]A Review of Computer Vision Methods in Network Security Jiawei Zhao, Rahat Masood, Suranga Seneviratne http://arxiv.org/abs/2005.03318v1 • [cs.RO]A LiDAR-based real-time capable 3D Perception System for Automated Driving in Urban Domains Jens Rieken, Markus Maurer http://arxiv.org/abs/2005.03404v1 • [cs.RO]Active Intent Disambiguation for Shared Control Robots Deepak E. Gopinath, Brenna D. Argall http://arxiv.org/abs/2005.03652v1 • [cs.RO]Arranging Test Tubes in Racks Using Combined Task and Motion Planning Weiwei Wan, Takeyuki Kotaka, Kensuke Harada http://arxiv.org/abs/2005.03342v1 • [cs.RO]AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund http://arxiv.org/abs/2005.03409v1 • [cs.RO]Datom: A Deformable modular robot for building self-reconfigurable programmable matter Benoit Piranda, Julien Bourgeois http://arxiv.org/abs/2005.03402v1 • [cs.RO]Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies Preston Culbertson, Jean-Jacques E. Slotine, Mac Schwager http://arxiv.org/abs/2005.03153v1 • [cs.RO]Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving Zhuo Xu, Jiangyu Chen, Masayoshi Tomizuka http://arxiv.org/abs/2005.03076v1 • [cs.RO]Multi-Resolution POMDP Planning for Multi-Object Search in 3D Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex http://arxiv.org/abs/2005.02878v2 • [cs.RO]Real-Time Context-aware Detection of Unsafe Events in Robot-Assisted Surgery Mohammad Samin Yasar, Homa Alemzadeh http://arxiv.org/abs/2005.03611v1 • [cs.RO]Shared Autonomy with Learned Latent Actions Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh http://arxiv.org/abs/2005.03210v1 • [cs.SE]YANG2UML: Bijective Transformation and Simplification of YANG to UML Mario Golling, Robert Koch, Peter Hillmann, Rick Hofstede, Frank Tietze http://arxiv.org/abs/2005.03292v1 • [cs.SI]Causal Paths in Temporal Networks of Face-to-Face Human Interactions Agostino Funel http://arxiv.org/abs/2005.03333v1 • [cs.SI]Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter Alessandro Balestrucci, Rocco De Nicola http://arxiv.org/abs/2005.03550v1 • [cs.SI]Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs Catherine Ordun, Sanjay Purushotham, Edward Raff http://arxiv.org/abs/2005.03082v1 • [econ.EM]Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis Philippe Goulet Coulombe, Maximilian Göbel http://arxiv.org/abs/2005.02535v1 • [econ.EM]Detecting Latent Communities in Network Formation Models Shujie Ma, Liangjun Su, Yichong Zhang http://arxiv.org/abs/2005.03226v1 • [econ.EM]Diffusion Copulas: Identification and Estimation Ruijun Bu, Kaddour Hadri, Dennis Kristensen http://arxiv.org/abs/2005.03513v1 • [econ.EM]Distributional Robustness of K-class Estimators and the PULSE Martin Emil Jakobsen, Jonas Peters http://arxiv.org/abs/2005.03353v1 • [econ.EM]Know Your Clients’ behaviours: a cluster analysis of financial transactions John R. J. Thompson, Longlong Feng, R. Mark Reesor, Chuck Grace http://arxiv.org/abs/2005.03625v1 • [eess.AS]ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu http://arxiv.org/abs/2005.03191v1 • [eess.AS]Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data Seung-won Park, Doo-young Kim, Myun-chul Joe http://arxiv.org/abs/2005.03295v1 • [eess.AS]Crop Aggregating for short utterances speaker verification using raw waveforms Seung-bin Kim, Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu http://arxiv.org/abs/2005.03329v1 • [eess.AS]Mutli-task Learning with Alignment Loss for Far-field Small-Footprint Keyword Spotting Haiwei Wu, Yan Jia, Yuanfei Nie, Ming Li http://arxiv.org/abs/2005.03633v1 • [eess.AS]RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu http://arxiv.org/abs/2005.03271v1 • [eess.IV]Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen http://arxiv.org/abs/2005.03264v1 • [eess.IV]CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, L. T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh http://arxiv.org/abs/2005.03059v1 • [eess.IV]Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans Ivan Drokin, Elena Ericheva http://arxiv.org/abs/2005.03654v1 • [eess.IV]Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen http://arxiv.org/abs/2005.03227v1 • [eess.IV]Encoding in the Dark Grand Challenge: An Overview Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul Hill, Angeliki Katsenou http://arxiv.org/abs/2005.03315v1 • [eess.IV]How Can CNNs Use Image Position for Segmentation? Rito Murase, Masanori Suganuma, Takayuki Okatani http://arxiv.org/abs/2005.03463v1 • [eess.IV]Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen http://arxiv.org/abs/2005.03405v1 • [eess.IV]Line Artefact Quantification in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularisation Oktay Karakuş, Nantheera Anantrasirichai, Amazigh Aguersif, Stein Silva, Adrian Basarab, Alin Achim http://arxiv.org/abs/2005.03080v1 • [eess.IV]NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham Finlayson, Shai Givati, others http://arxiv.org/abs/2005.03412v1 • [eess.IV]Scoring Root Necrosis in Cassava Using Semantic Segmentation Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba, Joyce Nakatumba-Nabende, Ernest Mwebaze http://arxiv.org/abs/2005.03367v1 • [eess.SP]Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury, Zaid B Mahbub, M. Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz http://arxiv.org/abs/2005.03357v1 • [math.DS]Conley’s fundamental theorem for a class of hybrid systems Matthew D. Kvalheim, Paul Gustafson, Daniel E. Koditschek http://arxiv.org/abs/2005.03217v1 • [math.NA]Model Reduction and Neural Networks for Parametric PDEs Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, Andrew M. Stuart http://arxiv.org/abs/2005.03180v1 • [math.OC]An Optimal Control Theory for the Traveling Salesman Problem and Its Variants I. M. Ross, R. J. Proulx, M. Karpenko http://arxiv.org/abs/2005.03186v1 • [math.PR]Convergence and inference for mixed Poisson random sums Wagner Barreto-Souza, Gabriela Oliveira, Roger W. C. Silva http://arxiv.org/abs/2005.03187v1 • [math.PR]Estimating customer impatience in a service system with balking Yoshiaki Inoue, Liron Ravner, Michel Mandjes http://arxiv.org/abs/2005.03576v1 • [math.PR]Strong replica symmetry in high-dimensional optimal Bayesian inference Jean Barbier, Dmitry Panchenko http://arxiv.org/abs/2005.03115v1 • [math.PR]Universal Coding and Prediction on Martin-Löf Random Points Łukasz Dębowski, Tomasz Steifer http://arxiv.org/abs/2005.03627v1 • [math.ST]How many modes can a constrained Gaussian mixture have? Navin Kashyap, Manjunath Krishnapur http://arxiv.org/abs/2005.01580v2 • [math.ST]Learning on dynamic statistical manifolds Francesca Boso, Daniel M. Tartakovsky http://arxiv.org/abs/2005.03223v1 • [math.ST]Phase Transitions of the Maximum Likelihood Estimates in the Tensor Curie-Weiss Model Somabha Mukherjee, Jaesung Son, Bhaswar B. Bhattacharya http://arxiv.org/abs/2005.03631v1 • [math.ST]Statistical errors in Monte Carlo-based inference for random elements Yasutaka Shimizu http://arxiv.org/abs/2005.02532v2 • [physics.ao-ph]Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications Imme Ebert-Uphoff, Kyle A. Hilburn http://arxiv.org/abs/2005.03126v1 • [q-bio.QM]Adaptive Invariance for Molecule Property Prediction Wengong Jin, Regina Barzilay, Tommi Jaakkola http://arxiv.org/abs/2005.03004v1 • [q-bio.QM]COVID-19 transmission risk factors Alessio Notari, Giorgio Torrieri http://arxiv.org/abs/2005.03651v1 • [q-fin.RM]On unbalanced data and common shock models in stochastic loss reserving Benjamin Avanzi, Phuong Anh Vu, Gregory Clive Taylor, Bernard Wong http://arxiv.org/abs/2005.03500v1 • [quant-ph]Quantum correlation alignment for unsupervised domain adaptation Xi He http://arxiv.org/abs/2005.03355v1 • [stat.AP]A simulation study of disaggregation regression for spatial disease mapping Rohan Arambepola, Tim C D Lucas, Anita K Nandi, Peter W Gething, Ewan Cameron http://arxiv.org/abs/2005.03604v1 • [stat.AP]Classification of pediatric pneumonia using chest X-rays by functional regression Md Nazmul Islam http://arxiv.org/abs/2005.03243v1 • [stat.AP]Sequential Aggregation of Probabilistic Forecasts — Applicaton to Wind Speed Ensemble Forecasts Michaël Zamo, Liliane Bel, Olivier Mestre http://arxiv.org/abs/2005.03540v1 • [stat.CO]On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle Horenko Illia, Marchenko Ganna, Gagliardini Patrick http://arxiv.org/abs/2005.03253v1 • [stat.ME]A comparison of group testing architectures for COVID-19 testing N. Bottman, Y. Cooper, F. Janda http://arxiv.org/abs/2005.03051v1 • [stat.ME]Fractional ridge regression: a fast, interpretable reparameterization of ridge regression Ariel Rokem, Kendrick Kay http://arxiv.org/abs/2005.03220v1 • [stat.ME]Modeling High-Dimensional Unit-Root Time Series Zhaoxing Gao, Ruey S. Tsay http://arxiv.org/abs/2005.03496v1 • [stat.ME]On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference Nathan Kallus http://arxiv.org/abs/2005.03151v1 • [stat.ME]Robust location estimators in regression models with covariates and responses missing at random Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga, Ana Pérez-González http://arxiv.org/abs/2005.03511v1 • [stat.ML]A Locally Adaptive Interpretable Regression Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu http://arxiv.org/abs/2005.03350v1 • [stat.ML]Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network Kai Zhou, Jiong Tang http://arxiv.org/abs/2005.03213v1 • [stat.ML]MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi http://arxiv.org/abs/2005.03161v1 • [stat.ML]Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion Kazuaki. Murayama, Shuichi. Kawano http://arxiv.org/abs/2005.03419v1
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