今日学术视野(2020.5.16)

cs.AI - 人工智能

cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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.LO - 逻辑演算 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.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 • [cs.AI]A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros • [cs.AI]Cognitive Amplifier for Internet of Things • [cs.AI]Competing in a Complex Hidden Role Game with Information Set Monte Carlo Tree Search • [cs.AI]Conflict Detection of IoTServices in Smart Home • [cs.AI]Enabling Edge Cloud Intelligence for Activity Learning in Smart Home • [cs.AI]Entity-Enriched Neural Models for Clinical Question Answering • [cs.AI]Industrial Federated Learning — Requirements and System Design • [cs.AI]Manthan: A Data Driven Approach for Boolean Function Synthesis • [cs.AI]Probabilistic Guarantees for Safe Deep Reinforcement Learning • [cs.AI]Rolling Horizon NEAT for General Video Game Playing • [cs.AI]Surrogate Assisted Optimisation for Travelling Thief Problems • [cs.CL]A Category Theory Approach to Interoperability • [cs.CL]A Mixture of $h-1$ Heads is Better than $h$ Heads • [cs.CL]A Rate-Distortion view of human pragmatic reasoning • [cs.CL]A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract) • [cs.CL]Arabic Dialect Identification in the Wild • [cs.CL]CrisisBERT: Robust Transformer for Crisis Classification and Contextual Crisis Embedding • [cs.CL]DRTS Parsing with Structure-Aware Encoding and Decoding • [cs.CL]Deep Learning for Political Science • [cs.CL]Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling • [cs.CL]Distilling neural networks into skipgram-level decision lists • [cs.CL]Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding • [cs.CL]Estimating predictive uncertainty for rumour verification models • [cs.CL]Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions • [cs.CL]Mitigating Gender Bias in Machine Learning Data Sets • [cs.CL]Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning • [cs.CL]NAT: Noise-Aware Training for Robust Neural Sequence Labeling • [cs.CL]NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor • [cs.CL]Named Entity Recognition as Dependency Parsing • [cs.CL]PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction • [cs.CL]SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model • [cs.CL]Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus • [cs.CL]ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages • [cs.CR]Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach • [cs.CR]Protecting the integrity of the training procedure of neural networks • [cs.CR]Protecting the integrity of the training procedure of neural networks • [cs.CR]Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning • [cs.CV]A Semi-Supervised Assessor of Neural Architectures • [cs.CV]Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions • [cs.CV]Dense-Resolution Network for Point Cloud Classification and Segmentation • [cs.CV]Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation • [cs.CV]Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations • [cs.CV]Domain Conditioned Adaptation Network • [cs.CV]Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data • [cs.CV]Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network • [cs.CV]Large Scale Font Independent Urdu Text Recognition System • [cs.CV]PENNI: Pruned Kernel Sharing for Efficient CNN Inference • [cs.CV]Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs • [cs.CV]Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors • [cs.CV]RISE Video Dataset: Recognizing Industrial Smoke Emissions • [cs.CV]Recognition of 26 Degrees of Freedom of Hands Using Model-based approach and Depth-Color Images • [cs.CV]Reinforced Coloring for End-to-End Instance Segmentation • [cs.CV]Robust On-Manifold Optimization for Uncooperative Space Relative Navigation with a Single Camera • [cs.CV]Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks • [cs.CV]SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation • [cs.CV]Structured Query-Based Image Retrieval Using Scene Graphs • [cs.CV]TAM: Temporal Adaptive Module for Video Recognition • [cs.CV]The Information & Mutual Information Ratio for Counting Image Features and Their Matches • [cs.CV]Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition • [cs.CV]ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network • [cs.CY]APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis • [cs.CY]Boom, Bust, and Bitcoin: Bitcoin-Bubbles As Innovation Accelerators • [cs.CY]Do Interruptions Pay Off? Effects of Interruptive Ads on Consumers Willingness to Pay • [cs.CY]Grand Challenges for Embedded Security Research in a Connected World • [cs.CY]India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling • [cs.CY]MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset • [cs.CY]Street Marketing: How Proximity and Context drive Coupon Redemption • [cs.CY]Systematic Ensemble Model Selection Approach for Educational Data Mining • [cs.CY]Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning • [cs.CY]Tracking and Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector • [cs.CY]When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy • [cs.DC]CarnegiePLUG: Prosumer-in-the-Loop simUlation Grid • [cs.DC]Distance-2 Coloring in the CONGEST Model • [cs.DC]Genome-Wide Epigenetic Modifications as a Shared Memory Consensus Problem • [cs.DC]How Reversibility Can Solve Traditional Questions: The Example of Hereditary History-Preserving Bisimulation • [cs.DC]Latency-Sensitive Web Service Workflows: A Case for a Software-Defined Internet • [cs.DC]Parallel Minimum Spanning Tree Algorithms and Evaluation • [cs.DC]Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance • [cs.DC]Scaling Blockchains Without Giving up Decentralization and Security • [cs.GR]Representing Whole Slide Cancer Image Features with Hilbert Curves • [cs.IR]Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor’s Background • [cs.IR]Deep Hierarchical Classification for Category Prediction in E-commerce System • [cs.IR]ECIR 2020 Workshops: Assessing the Impact of Going Online • [cs.IR]Fashion Recommendation and Compatibility Prediction Using Relational Network • [cs.IR]Multi-modal Embedding Fusion-based Recommender • [cs.IR]Towards NLP-supported Semantic Data Management • [cs.IT]A Polar Code Based TIN-SIC Scheme for the Unsourced Random Access in the Quasi-Static Fading MAC • [cs.IT]Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning • [cs.IT]Cost of Guessing: Applications to Distributed Data Storage and Repair • [cs.IT]Detection of Intermittent Faults Based on an Optimally Weighted Moving Average T^2 Control Chart with Stationary Gaussian Observations • [cs.IT]Efficient iterative thresholding algorithms with functional feedbacks and convergence analysis • [cs.IT]Exploiting Amplitude Control in Intelligent Reflecting Surface Aided Wireless Communication with Imperfect CSI • [cs.IT]Gaussian 1-2-1 Networks with Imperfect Beamforming • [cs.IT]Minimizing the alphabet size of erasure codes with restricted decoding sets • [cs.IT]On Sliding Window Approximation of Gilbert-Elliott Channel for Delay Constrained Setting • [cs.IT]On the Optimal Minimum Distance of Fractional Repetition Codes • [cs.IT]On the Outage Performance of Ambient Backscatter Communications • [cs.IT]Power-Efficient Resource Allocation for Multiuser MISO Systems via Intelligent Reflecting Surfaces • [cs.IT]Some Results on the Vector Gaussian Hypothesis Testing Problem • [cs.IT]Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs • [cs.IT]Staggered Diagonal Embedding Based Linear Field Size Streaming Codes • [cs.IT]Super-Resolution of Positive Sources on an Arbitrarily Fine Grid • [cs.IT]Thermodynamically Stable DNA Code Design using a Similarity Significance Model • [cs.LG]A network-based transfer learning approach to improve sales forecasting of new products • [cs.LG]Activation functions are not needed: the ratio net • [cs.LG]An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Mover’s Distance • [cs.LG]Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks • [cs.LG]Bayesian Bits: Unifying Quantization and Pruning • [cs.LG]Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning • [cs.LG]Coordinates-based Resource Allocation Through Supervised Machine Learning • [cs.LG]Data Augmentation for Deep Candlestick Learner • [cs.LG]Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers • [cs.LG]Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems • [cs.LG]Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors • [cs.LG]Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning • [cs.LG]Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification • [cs.LG]Federated Recommendation System via Differential Privacy • [cs.LG]Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks • [cs.LG]Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI • [cs.LG]Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning • [cs.LG]How hard is graph isomorphism for graph neural networks? • [cs.LG]Learning Composable Energy Surrogates for PDE Order Reduction • [cs.LG]MixML: A Unified Analysis of Weakly Consistent Parallel Learning • [cs.LG]Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation • [cs.LG]Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs • [cs.LG]OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training • [cs.LG]Patient Similarity Analysis with Longitudinal Health Data • [cs.LG]Prive-HD: Privacy-Preserved Hyperdimensional Computing • [cs.LG]S2IGAN: Speech-to-Image Generation via Adversarial Learning • [cs.LG]SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization • [cs.LG]Simulation-Based Inference for Global Health Decisions • [cs.LG]Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) • [cs.LG]Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network • [cs.LG]Temporal Poisson Square Root Graphical Models • [cs.LG]Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints • [cs.LG]Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms • [cs.LG]Training conformal predictors • [cs.LG]Triaging moderate COVID-19 and other viral pneumonias from routine blood tests • [cs.NI]DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers • [cs.RO]Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data • [cs.RO]Distance and Steering Heuristics for Streamline-Based Flow Field Planning • [cs.RO]From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning • [cs.RO]Physical Human-Robot Interaction with a Tethered Aerial Vehicle: Application to a Force-based Human Guiding Problem • [cs.RO]Towards Long-Endurance Flight of an Insect-Inspired, Tailless, Two-Winged, Flapping-Wing Flying Robot • [cs.SD]Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion • [cs.SD]FaceFilter: Audio-visual speech separation using still images • [cs.SD]Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords • [cs.SE]Many-Objective Software Remodularization using NSGA-III • [cs.SI]An Adaptive Networks Model to Simulate Consensus Formation Driven by Social Identity Recognition • [cs.SI]Comment on “Improved mutual information measure for clustering, classification, and community detection” • [cs.SI]Modeling Human Dynamics and Lifestyle Using Digital Traces • [cs.SI]Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA • [cs.SI]Russian trolls speaking Russian: Regional Twitter operations and MH17 • [econ.EM]Dynamic shrinkage in time-varying parameter stochastic volatility in mean models • [eess.AS]Classification of Infant Crying in Real-World Home Environments Using Deep Learning • [eess.AS]DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation • [eess.AS]Memory Controlled Sequential Self Attention for Sound Recognition • [eess.AS]You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation • [eess.IV]A multicenter study on radiomic features from T$_2$-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics • [eess.IV]Detector-SegMentor Network for Skin Lesion Localization and Segmentation • [eess.IV]Enhanced Residual Networks for Context-based Image Outpainting • [eess.IV]Generative Models for Generic Light Field Reconstruction • [eess.IV]Low-Dose CT Image Denoising Using Parallel-Clone Networks • [eess.IV]OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression • [eess.IV]RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration • [eess.IV]Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors • [eess.IV]W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos • [eess.SP]Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation • [eess.SP]Early soft and flexible fusion of EEG and fMRI via tensor decompositions • [eess.SP]High Precision Indoor Navigation for Autonomous Vehicles • [eess.SP]High precision indoor positioning by means of LiDAR • [eess.SY]Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor • [math.CO]Tropical Data Science • [math.LO]On abstract F-systems. A graph-theoretic model for paradoxes involving a falsity predicate and its application to argumentation frameworks • [math.NA]Efficient and Stable Algorithms to Extend Greville’s Method to Partitioned Matrices Based on Inverse Cholesky Factorization • [math.NA]On Learned Operator Correction • [math.OC]Comparison of Information Structures for Zero-Sum Games and a Partial Converse to Blackwell Ordering in Standard Borel Spaces • [math.OC]Overlapping Schwarz Decomposition for Nonlinear Optimal Control • [math.OC]The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems • [math.PR]Optimal Berry-Esséen bound for Maximum likelihood estimation of the drift parameter in $ α$-Brownian bridge • [math.ST]Consistency of permutation tests for HSIC and dHSIC • [math.ST]Inference for a Step-Stress Model With Type-II and Progressive Type-II Censoring and Lognormally Distributed Lifetimes • [math.ST]Information inequalities for the estimation of principal components • [math.ST]Kernel Analog Forecasting: Multiscale Test Problems • [math.ST]On mean and/or variance mixtures of normal distributions • [physics.flu-dyn]Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime • [physics.soc-ph]Modeling the heterogeneous disease-behavior-information dynamics during epidemics • [physics.soc-ph]Resilience and elasticity of co-evolving information ecosystems • [physics.soc-ph]Spreading dynamics of infectious diseases on structured society with daily cycles • [q-bio.QM]Group testing as a strategy for the epidemiologic monitoring of COVID-19 • [stat.AP]Bayesian quantification for coherent anti-Stokes Raman scattering spectroscopy • [stat.AP]Combining Population and Study Data for Inference on Event Rates • [stat.AP]Moving from two- to multi-way interactions among binary risk factors on the additive scale • [stat.AP]Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects • [stat.ME]Bayesian Joint Modelling of Recurrence and Survival: a Conditional Approach • [stat.ME]Inference for a test-negative case-control study with added controls • [stat.ME]Recent advances in directional statistics • [stat.ME]Robust Estimation for Linear Panel Data Models ····································· • [cs.AI]A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros _Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao http://arxiv.org/abs/2005.06148v2 • [cs.AI]Cognitive Amplifier for Internet of Things Bing Huang, Athman Bouguettaya, Azadeh Ghari Neiat http://arxiv.org/abs/2005.06914v1 • [cs.AI]Competing in a Complex Hidden Role Game with Information Set Monte Carlo Tree Search Jack Reinhardt http://arxiv.org/abs/2005.07156v1 • [cs.AI]Conflict Detection of IoT_Services in Smart Home Bing Huang, Athman Bouguettaya, Sajib Mistry http://arxiv.org/abs/2005.06895v1 • [cs.AI]Enabling Edge Cloud Intelligence for Activity Learning in Smart Home Bing Huang, Athman Bouguettaya, Hai Dong http://arxiv.org/abs/2005.06885v1 • [cs.AI]Entity-Enriched Neural Models for Clinical Question Answering Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits http://arxiv.org/abs/2005.06587v1 • [cs.AI]Industrial Federated Learning — Requirements and System Design Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte http://arxiv.org/abs/2005.06850v1 • [cs.AI]Manthan: A Data Driven Approach for Boolean Function Synthesis Priyanka Golia, Subhajit Roy, Kuldeep S. Meel http://arxiv.org/abs/2005.06922v1 • [cs.AI]Probabilistic Guarantees for Safe Deep Reinforcement Learning Edoardo Bacci, David Parker http://arxiv.org/abs/2005.07073v1 • [cs.AI]Rolling Horizon NEAT for General Video Game Playing Diego Perez-Liebana, Muhammad Sajid Alam, Raluca D. Gaina http://arxiv.org/abs/2005.06764v1 • [cs.AI]Surrogate Assisted Optimisation for Travelling Thief Problems Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar http://arxiv.org/abs/2005.06695v1 • [cs.CL]A Category Theory Approach to Interoperability Riccardo Del Gratta http://arxiv.org/abs/2005.06872v1 • [cs.CL]A Mixture of $h-1$ Heads is Better than $h$ Heads Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith http://arxiv.org/abs/2005.06537v1 • [cs.CL]A Rate-Distortion view of human pragmatic reasoning Noga Zaslavsky, Jennifer Hu, Roger P. Levy http://arxiv.org/abs/2005.06641v1 • [cs.CL]A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract) Artuur Leeuwenberg, Marie-Francine Moens http://arxiv.org/abs/2005.06527v1 • [cs.CL]Arabic Dialect Identification in the Wild Ahmed Abdelali, Hamdy Mubarak, Younes Samih, Sabit Hassan, Kareem Darwish http://arxiv.org/abs/2005.06557v1 • [cs.CL]CrisisBERT: Robust Transformer for Crisis Classification and Contextual Crisis Embedding Junhua Liu, Trisha Singhal Lucienne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim http://arxiv.org/abs/2005.06627v1 • [cs.CL]DRTS Parsing with Structure-Aware Encoding and Decoding Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang http://arxiv.org/abs/2005.06901v1 • [cs.CL]Deep Learning for Political Science Kakia Chatsiou, Slava Jankin Mikhaylov http://arxiv.org/abs/2005.06540v1 • [cs.CL]Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling Amy Breden, Lee Moore http://arxiv.org/abs/2005.06634v1 • [cs.CL]Distilling neural networks into skipgram-level decision lists Madhumita Sushil, Simon Šuster, Walter Daelamans http://arxiv.org/abs/2005.07111v1 • [cs.CL]Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding Xinya Du, Claire Cardie http://arxiv.org/abs/2005.06579v1 • [cs.CL]Estimating predictive uncertainty for rumour verification models Elena Kochkina, Maria Liakata http://arxiv.org/abs/2005.07174v1 • [cs.CL]Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov http://arxiv.org/abs/2005.06676v1 • [cs.CL]Mitigating Gender Bias in Machine Learning Data Sets Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene http://arxiv.org/abs/2005.06898v1 • [cs.CL]Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman http://arxiv.org/abs/2005.07064v1 • [cs.CL]NAT: Noise-Aware Training for Robust Neural Sequence Labeling Marcin Namysl, Sven Behnke, Joachim Köhler http://arxiv.org/abs/2005.07162v1 • [cs.CL]NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia http://arxiv.org/abs/2005.06943v1 • [cs.CL]Named Entity Recognition as Dependency Parsing Juntao Yu, Bernd Bohnet, Massimo Poesio http://arxiv.org/abs/2005.07150v1 • [cs.CL]PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction Majid Asgari-Bidhendi, Mehrdad Nasser, Behrooz Janfada, Behrouz Minaei-Bidgoli http://arxiv.org/abs/2005.06588v1 • [cs.CL]SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao http://arxiv.org/abs/2005.05298v2 • [cs.CL]Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus Sriram Krishnan, Amba Kulkarni, Gérard Huet http://arxiv.org/abs/2005.06545v1 • [cs.CL]ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi http://arxiv.org/abs/2005.07105v1 • [cs.CR]Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos, Sean McKeown, William J. Buchanan http://arxiv.org/abs/2005.06599v1 • [cs.CR]Protecting the integrity of the training procedure of neural networks Christian Berghoff http://arxiv.org/abs/a /abs/2005.06928v1 /abs/2005.06928v1) • [cs.CR]Protecting the integrity of the training procedure of neural networks Christian Berghoff http://arxiv.org/abs/2005.06928v1 • [cs.CR]Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu http://arxiv.org/abs/2005.07099v1 • [cs.CV]A Semi-Supervised Assessor of Neural Architectures Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu http://arxiv.org/abs/2005.06821v1 • [cs.CV]Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu http://arxiv.org/abs/2005.07097v1 • [cs.CV]Dense-Resolution Network for Point Cloud Classification and Segmentation Shi Qiu, Saeed Anwar, Nick Barnes http://arxiv.org/abs/2005.06734v1 • [cs.CV]Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink http://arxiv.org/abs/2005.06831v1 • [cs.CV]Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos http://arxiv.org/abs/2005.06583v1 • [cs.CV]Domain Conditioned Adaptation Network Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang http://arxiv.org/abs/2005.06717v1 • [cs.CV]Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data Frank Bieder, Sascha Wirges, Johannes Janosovits, Sven Richter, Zheyuan Wang, Christoph Stiller http://arxiv.org/abs/2005.06667v1 • [cs.CV]Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte http://arxiv.org/abs/2005.06654v1 • [cs.CV]Large Scale Font Independent Urdu Text Recognition System Atique Ur Rehman, Sibt Ul Hussain http://arxiv.org/abs/2005.06752v1 • [cs.CV]PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li, Edward Hanson, Hai Li, Yiran Chen http://arxiv.org/abs/2005.07133v1 • [cs.CV]Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos http://arxiv.org/abs/2005.06582v1 • [cs.CV]Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors Lucas Brynte, Fredrik Kahl http://arxiv.org/abs/2005.06262v2 • [cs.CV]RISE Video Dataset: Recognizing Industrial Smoke Emissions Yen-Chia Hsu, Ting-Hao ‘Kenneth’ Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah Nourbakhsh http://arxiv.org/abs/2005.06111v2 • [cs.CV]Recognition of 26 Degrees of Freedom of Hands Using Model-based approach and Depth-Color Images Cong Hoang Quach, Minh Trien Pham, Anh Viet Dang, Dinh Tuan Pham, Thuan Hoang Tran, Manh Duong Phung http://arxiv.org/abs/2005.07068v1 • [cs.CV]Reinforced Coloring for End-to-End Instance Segmentation Tuan Tran Anh, Khoa Nguyen-Tuan, Won-Ki Jeong http://arxiv.org/abs/2005.07058v1 • [cs.CV]Robust On-Manifold Optimization for Uncooperative Space Relative Navigation with a Single Camera Duarte Rondao, Nabil Aouf, Mark A. Richardson, Vincent Dubanchet http://arxiv.org/abs/2005.07110v1 • [cs.CV]Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei http://arxiv.org/abs/2005.06536v1 • [cs.CV]SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation Zhenjie Tang, Bin Pan, Enhai Liu, Xia Xu, Tianyang Shi, Zhenwei Shi http://arxiv.org/abs/2005.06382v2 • [cs.CV]Structured Query-Based Image Retrieval Using Scene Graphs Brigit Schroeder, Subarna Tripathi http://arxiv.org/abs/2005.06653v1 • [cs.CV]TAM: Temporal Adaptive Module for Video Recognition Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu http://arxiv.org/abs/2005.06803v1 • [cs.CV]The Information & Mutual Information Ratio for Counting Image Features and Their Matches Ali Khajegili Mirabadi, Stefano Rini http://arxiv.org/abs/2005.06739v1 • [cs.CV]Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren http://arxiv.org/abs/2005.07151v1 • [cs.CV]ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend http://arxiv.org/abs/2005.06892v1 • [cs.CY]APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis Shuang Liu, Renjie Guo, Baiyang Zhao, Tao Chen, Meishan Zhang http://arxiv.org/abs/2005.06945v1 • [cs.CY]Boom, Bust, and Bitcoin: Bitcoin-Bubbles As Innovation Accelerators Tobias A. Huber, Didier Sornette http://arxiv.org/abs/2005.06464v1 • [cs.CY]Do Interruptions Pay Off? Effects of Interruptive Ads on Consumers Willingness to Pay Alessandro Acquisti, Sarah Spiekermann http://arxiv.org/abs/2005.06834v1 • [cs.CY]Grand Challenges for Embedded Security Research in a Connected World Wayne Burleson, Kevin Fu, Denise Anthony, Jorge Guajardo, Carl Gunter, Kyle Ingols, Jean-Baptiste Jeannin, Farinaz Koushanafar, Carl Landwehr, Susan Squires http://arxiv.org/abs/2005.06585v1 • [cs.CY]India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling Ramit Debnath, Ronita Bardhan http://arxiv.org/abs/2005.06619v1 • [cs.CY]MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset S. P. Morozov, A. E. Andreychenko, N. A. Pavlov, A. V. Vladzymyrskyy, N. V. Ledikhova, V. A. Gombolevskiy, I. A. Blokhin, P. B. Gelezhe, A. V. Gonchar, V. Yu. Chernina http://arxiv.org/abs/2005.06465v1 • [cs.CY]Street Marketing: How Proximity and Context drive Coupon Redemption Sarah Spiekermann, Matthias Rothensee, Michael Klafft http://arxiv.org/abs/2005.06839v1 • [cs.CY]Systematic Ensemble Model Selection Approach for Educational Data Mining MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami http://arxiv.org/abs/2005.06647v1 • [cs.CY]Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning Procheta Sen, Debasis Ganguly http://arxiv.org/abs/2005.06618v1 • [cs.CY]Tracking and Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, S. Sivaranjani, Le Xie, Haiwang Zhong, Chongqing Kang http://arxiv.org/abs/2005.06631v1 • [cs.CY]When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy Nasir Saeed, Ahmed Bader, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini http://arxiv.org/abs/2005.06637v1 • [cs.DC]CarnegiePLUG: Prosumer-in-the-Loop simUlation Grid Juye Kim, Carolyn Goodman, Javad Mohammadi http://arxiv.org/abs/2005.06597v1 • [cs.DC]Distance-2 Coloring in the CONGEST Model Magnus M. Halldorsson, Fabian Kuhn, Yannic Maus http://arxiv.org/abs/2005.06528v1 • [cs.DC]Genome-Wide Epigenetic Modifications as a Shared Memory Consensus Problem Sabrina Rashid, Gadi Taubenfeld, Ziv Bar-Joseph http://arxiv.org/abs/2005.06502v1 • [cs.DC]How Reversibility Can Solve Traditional Questions: The Example of Hereditary History-Preserving Bisimulation Clément Aubert, Ioana Cristescu http://arxiv.org/abs/2005.06814v1 • [cs.DC]Latency-Sensitive Web Service Workflows: A Case for a Software-Defined Internet Pradeeban Kathiravelu, Peter Van Roy, Luís Veiga, Elhadj Benkhelifa http://arxiv.org/abs/2005.07136v1 • [cs.DC]Parallel Minimum Spanning Tree Algorithms and Evaluation Suryanarayana Murthy Durbhakula http://arxiv.org/abs/2005.06913v1 • [cs.DC]Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull, Philipp Slusallek, Tobias Dirndorfer, Alexander Kammenhuber, Christoph Lauer, Michael Botsch http://arxiv.org/abs/2005.06773v1 • [cs.DC]Scaling Blockchains Without Giving up Decentralization and Security Gianmaria Del Monte, Diego Pennino, Maurizio Pizzonia http://arxiv.org/abs/2005.06665v1 • [cs.GR]Representing Whole Slide Cancer Image Features with Hilbert Curves Erich Bremer, Jonas Almeida, Joel Saltz http://arxiv.org/abs/2005.06469v1 • [cs.IR]Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor’s Background Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini http://arxiv.org/abs/2005.06915v1 • [cs.IR]Deep Hierarchical Classification for Category Prediction in E-commerce System Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang http://arxiv.org/abs/2005.06692v1 • [cs.IR]ECIR 2020 Workshops: Assessing the Impact of Going Online Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo http://arxiv.org/abs/2005.06748v1 • [cs.IR]Fashion Recommendation and Compatibility Prediction Using Relational Network Maryam Moosaei, Yusan Lin, Hao Yang http://arxiv.org/abs/2005.06584v1 • [cs.IR]Multi-modal Embedding Fusion-based Recommender Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk http://arxiv.org/abs/2005.06331v2 • [cs.IR]Towards NLP-supported Semantic Data Management Andreas Burgdorf, André Pomp, Tobias Meisen http://arxiv.org/abs/2005.06916v1 • [cs.IT]A Polar Code Based TIN-SIC Scheme for the Unsourced Random Access in the Quasi-Static Fading MAC Kirill Andreev, Evgeny Marshakov, Alexey Frolov http://arxiv.org/abs/2005.06899v1 • [cs.IT]Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran http://arxiv.org/abs/2005.07184v1 • [cs.IT]Cost of Guessing: Applications to Distributed Data Storage and Repair Suayb S. Arslan, Elif Haytaoglu http://arxiv.org/abs/2005.06666v1 • [cs.IT]Detection of Intermittent Faults Based on an Optimally Weighted Moving Average T^2 Control Chart with Stationary Gaussian Observations Yinghong Zhao, Xiao He, Junfeng Zhang, Hongquan Ji, Donghua Zhou, Michael G. Pecht http://arxiv.org/abs/2005.06832v1 • [cs.IT]Efficient iterative thresholding algorithms with functional feedbacks and convergence analysis Ningning Han, Shidong Li, Zhanjie Song http://arxiv.org/abs/2005.06693v1 • [cs.IT]Exploiting Amplitude Control in Intelligent Reflecting Surface Aided Wireless Communication with Imperfect CSI Ming-Min Zhao, Qingqing Wu, Min-Jian Zhao, Rui Zhang http://arxiv.org/abs/2005.07002v1 • [cs.IT]Gaussian 1-2-1 Networks with Imperfect Beamforming Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli, Giuseppe Caire http://arxiv.org/abs/2005.06655v1 • [cs.IT]Minimizing the alphabet size of erasure codes with restricted decoding sets Mira Gonen, Ishay Haviv, Michael Langberg, Alex Sprintson http://arxiv.org/abs/2005.06947v1 • [cs.IT]On Sliding Window Approximation of Gilbert-Elliott Channel for Delay Constrained Setting Myna Vajha, Vinayak Ramkumar, Mayank Jhamtani, P. Vijay Kumar http://arxiv.org/abs/2005.06921v1 • [cs.IT]On the Optimal Minimum Distance of Fractional Repetition Codes Bing Zhu, Kenneth W. Shum, Weiping Wang, Jianxin Wang http://arxiv.org/abs/2005.06823v1 • [cs.IT]On the Outage Performance of Ambient Backscatter Communications Yinghui Ye, Liqin Shi, Xiaoli Chu, Guangyue Lu http://arxiv.org/abs/2005.07164v1 • [cs.IT]Power-Efficient Resource Allocation for Multiuser MISO Systems via Intelligent Reflecting Surfaces Xianghao Yu, Dongfang Xu, Derrick Wing Kwan Ng, Robert Schober http://arxiv.org/abs/2005.06703v1 • [cs.IT]Some Results on the Vector Gaussian Hypothesis Testing Problem Pierre Escamilla, Abdellatif Zaidi, Michèle Wigger http://arxiv.org/abs/2005.06822v1 • [cs.IT]Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut http://arxiv.org/abs/2005.06994v1 • [cs.IT]Staggered Diagonal Embedding Based Linear Field Size Streaming Codes Vinayak Ramkumar, Myna Vajha, M. Nikhil Krishnan, P. Vijay Kumar http://arxiv.org/abs/2005.07113v1 • [cs.IT]Super-Resolution of Positive Sources on an Arbitrarily Fine Grid Veniamin I. Morgenshtern http://arxiv.org/abs/2005.06756v1 • [cs.IT]Thermodynamically Stable DNA Code Design using a Similarity Significance Model Yixin Wang, Md Noor-A-Rahim, Erry Gunawan, Yong Liang Guan, Chueh Loo Poh http://arxiv.org/abs/2005.07033v1 • [cs.LG]A network-based transfer learning approach to improve sales forecasting of new products Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta http://arxiv.org/abs/2005.06978v1 • [cs.LG]Activation functions are not needed: the ratio net Chi-Chun Zhou, Hai-Long Tu, Yi Liu, Jian Hua http://arxiv.org/abs/2005.06678v1 • [cs.LG]An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Mover’s Distance Jesmin Jahan Tithi, Fabrizio Petrini http://arxiv.org/abs/2005.06727v1 • [cs.LG]Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks Oliver Ammann, Gabriel Michau, Olga Fink http://arxiv.org/abs/2005.07078v1 • [cs.LG]Bayesian Bits: Unifying Quantization and Pruning Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling http://arxiv.org/abs/2005.07093v1 • [cs.LG]Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin http://arxiv.org/abs/2005.06800v1 • [cs.LG]Coordinates-based Resource Allocation Through Supervised Machine Learning Sahar Imtiaz, Sebastian Schiessl, Georgios P. Koudouridis, James Gross http://arxiv.org/abs/2005.06509v1 • [cs.LG]Data Augmentation for Deep Candlestick Learner Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai http://arxiv.org/abs/2005.06731v1 • [cs.LG]Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden K. H. So http://arxiv.org/abs/2005.06870v1 • [cs.LG]Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems Allen G Hart, James L Hook, Jonathan H P Dawes http://arxiv.org/abs/2005.06967v1 • [cs.LG]Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-an Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran http://arxiv.org/abs/2005.07186v1 • [cs.LG]Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt http://arxiv.org/abs/2005.06852v1 • [cs.LG]Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification Yigit Oktar, Mehmet Turkan http://arxiv.org/abs/2005.07076v1 • [cs.LG]Federated Recommendation System via Differential Privacy Tan Li, Linqi Song, Christina Fragouli http://arxiv.org/abs/2005.06670v1 • [cs.LG]Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao http://arxiv.org/abs/2005.06828v1 • [cs.LG]Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia http://arxiv.org/abs/2005.07173v1 • [cs.LG]Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang http://arxiv.org/abs/2005.07115v1 • [cs.LG]How hard is graph isomorphism for graph neural networks? Andreas Loukas http://arxiv.org/abs/2005.06649v1 • [cs.LG]Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson, Jordan T. Ash, Geoffrey Roeder, Tianju Xie, Ryan P. Adams http://arxiv.org/abs/2005.06549v1 • [cs.LG]MixML: A Unified Analysis of Weakly Consistent Parallel Learning Yucheng Lu, Jack Nash, Christopher De Sa http://arxiv.org/abs/2005.06706v1 • [cs.LG]Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation Daniel Weber, Clemens Gühmann, Thomas Seel http://arxiv.org/abs/2005.06897v1 • [cs.LG]Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs Shaoning Zeng, Bob Zhang http://arxiv.org/abs/2005.06707v1 • [cs.LG]OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training Yemao Xu, Dezun Dong, Weixia Xu, Xiangke Liao http://arxiv.org/abs/2005.06728v1 • [cs.LG]Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam, Matthias Dittberner, Anna Sintsova, Dominique Brodbeck, Michael Krauthammer http://arxiv.org/abs/2005.06630v1 • [cs.LG]Prive-HD: Privacy-Preserved Hyperdimensional Computing Behnam Khaleghi, Mohsen Imani, Tajana Rosing http://arxiv.org/abs/2005.06716v1 • [cs.LG]S2IGAN: Speech-to-Image Generation via Adversarial Learning Xinsheng Wang, Tingting Qiao, Jihua Zhu, Alan Hanjalic, Odette Scharenborg http://arxiv.org/abs/2005.06968v1 • [cs.LG]SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization Navjot Singh, Deepesh Data, Jemin George, Suhas Diggavi http://arxiv.org/abs/2005.07041v1 • [cs.LG]Simulation-Based Inference for Global Health Decisions Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin http://arxiv.org/abs/2005.07062v1 • [cs.LG]Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi http://arxiv.org/abs/2005.06935v1 • [cs.LG]Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network Zhihao Xing, Shikui Tu, Lei Xu http://arxiv.org/abs/2005.06879v1 • [cs.LG]Temporal Poisson Square Root Graphical Models Sinong Geng, Zhaobin Kuang, Peggy Peissig, David Page http://arxiv.org/abs/2005.06462v1 • [cs.LG]Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints Zhiming Huang, Yifan Xu, Bingshan Hu, Qipeng Wang, Jianping Pan http://arxiv.org/abs/2005.06725v1 • [cs.LG]Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink http://arxiv.org/abs/2005.07031v1 • [cs.LG]Training conformal predictors Nicolo Colombo, Vladimir Vovk http://arxiv.org/abs/2005.07037v1 • [cs.LG]Triaging moderate COVID-19 and other viral pneumonias from routine blood tests Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang http://arxiv.org/abs/2005.06546v1 • [cs.NI]DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz http://arxiv.org/abs/2005.07034v1 • [cs.RO]Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan http://arxiv.org/abs/2005.06594v1 • [cs.RO]Distance and Steering Heuristics for Streamline-Based Flow Field Planning K. Y. Cadmus To, Chanyeol Yoo, Stuart Anstee, Robert Fitch http://arxiv.org/abs/2005.06718v1 • [cs.RO]From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning Alessandro Paolo Capasso, Giulio Bacchiani, Alberto Broggi http://arxiv.org/abs/2005.07023v1 • [cs.RO]Physical Human-Robot Interaction with a Tethered Aerial Vehicle: Application to a Force-based Human Guiding Problem Marco Tognon, Rachid Alami, Bruno Siciliano http://arxiv.org/abs/2005.06760v1 • [cs.RO]Towards Long-Endurance Flight of an Insect-Inspired, Tailless, Two-Winged, Flapping-Wing Flying Robot Hoang Vu Phan, Steven Aurecianus, Thi Kim Loan Au, Taesam Kang, Hoon Cheol Park http://arxiv.org/abs/2005.06715v1 • [cs.SD]Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion Kun Zhou, Berrak Sisman, Mingyang Zhang, Haizhou Li http://arxiv.org/abs/2005.07025v1 • [cs.SD]FaceFilter: Audio-visual speech separation using still images Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang http://arxiv.org/abs/2005.07074v1 • [cs.SD]Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii http://arxiv.org/abs/2005.07091v1 • [cs.SE]Many-Objective Software Remodularization using NSGA-III Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni http://arxiv.org/abs/2005.06510v1 • [cs.SI]An Adaptive Networks Model to Simulate Consensus Formation Driven by Social Identity Recognition Kaiqi Zhang, Zinan Lv, Haifeng Du, Honghu Zou http://arxiv.org/abs/2005.06887v1 • [cs.SI]Comment on “Improved mutual information measure for clustering, classification, and community detection” Zhong-Yuan Zhang http://arxiv.org/abs/2005.07007v1 • [cs.SI]Modeling Human Dynamics and Lifestyle Using Digital Traces Sharon Xu, Steven Morse, Marta C. González http://arxiv.org/abs/2005.06542v1 • [cs.SI]Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA Gustavo Santos, Vinicius F. S. Mota, Fabricio Benevenuto, Thiago H. Silva http://arxiv.org/abs/2005.06591v1 • [cs.SI]Russian trolls speaking Russian: Regional Twitter operations and MH17 Alexandr Vesselkov, Benjamin Finley, Jouko Vankka http://arxiv.org/abs/2005.06558v1 • [econ.EM]Dynamic shrinkage in time-varying parameter stochastic volatility in mean models Florian Huber, Michael Pfarrhofer http://arxiv.org/abs/2005.06851v1 • [eess.AS]Classification of Infant Crying in Real-World Home Environments Using Deep Learning Xuewen Yao, Megan Micheletti, Mckensey Johnson, Kaya de Barbaro http://arxiv.org/abs/2005.07036v1 • [eess.AS]DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation Yi-Chen Chen, Jui-Yang Hsu, Cheng-Kuang Lee, Hung-yi Lee http://arxiv.org/abs/2005.07029v1 • [eess.AS]Memory Controlled Sequential Self Attention for Sound Recognition Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian, Emmanouil Benetos http://arxiv.org/abs/2005.06650v1 • [eess.AS]You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation Aleksandr Laptev, Roman Korostik, Aleksey Svischev, Andrei Andrusenko, Ivan Medennikov, Sergey Rybin http://arxiv.org/abs/2005.07157v1 • [eess.IV]A multicenter study on radiomic features from T$_2$-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics Linda Bianchini, Joao Santinha, Nuno Loução, Mario Figueiredo, Francesca Botta, Daniela Origgi, Marta Cremonesi, Enrico Cassano, Nikolaos Papanikolaou, Alessandro Lascialfari http://arxiv.org/abs/2005.06833v1 • [eess.IV]Detector-SegMentor Network for Skin Lesion Localization and Segmentation Shreshth Saini, Divij Gupta, Anil Kumar Tiwari http://arxiv.org/abs/2005.06550v1 • [eess.IV]Enhanced Residual Networks for Context-based Image Outpainting Przemek Gardias, Eric Arthur, Huaming Sun http://arxiv.org/abs/2005.06723v1 • [eess.IV]Generative Models for Generic Light Field Reconstruction Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz, Andreas Kolb, Michael Moeller http://arxiv.org/abs/2005.06508v1 • [eess.IV]Low-Dose CT Image Denoising Using Parallel-Clone Networks Siqi Li, Guobao Wang http://arxiv.org/abs/2005.06724v1 • [eess.IV]OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun http://arxiv.org/abs/2005.07178v1 • [eess.IV]RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration Baudouin Denis de Senneville, José V. Manjon, Pierrick Coupé http://arxiv.org/abs/2005.06835v1 • [eess.IV]Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors Fahad Shamshad, Asif Hanif, Ali Ahmed http://arxiv.org/abs/2005.07026v1 • [eess.IV]W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos Rohit Saha, Abenezer Teklemariam, Ian Hsu, Alan M. Moses http://arxiv.org/abs/2005.06684v1 • [eess.SP]Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation Amin Ullah, Syed M. Anwar, Muhammad Bilal, Raja M Mehmood http://arxiv.org/abs/2005.06902v1 • [eess.SP]Early soft and flexible fusion of EEG and fMRI via tensor decompositions Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel http://arxiv.org/abs/2005.07134v1 • [eess.SP]High Precision Indoor Navigation for Autonomous Vehicles Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera http://arxiv.org/abs/2005.06791v1 • [eess.SP]High precision indoor positioning by means of LiDAR Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera http://arxiv.org/abs/2005.06798v1 • [eess.SY]Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor Zhichao Li, Thai Duong, Nikolay Atanasov http://arxiv.org/abs/2005.06694v1 • [math.CO]Tropical Data Science Ruriko Yoshida http://arxiv.org/abs/2005.06586v1 • [math.LO]On abstract F-systems. A graph-theoretic model for paradoxes involving a falsity predicate and its application to argumentation frameworks Gustavo A. Bodanza http://arxiv.org/abs/2005.07050v1 • [math.NA]Efficient and Stable Algorithms to Extend Greville’s Method to Partitioned Matrices Based on Inverse Cholesky Factorization Hufei Zhu http://arxiv.org/abs/2005.07045v1 • [math.NA]On Learned Operator Correction Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge http://arxiv.org/abs/2005.07069v1 • [math.OC]Comparison of Information Structures for Zero-Sum Games and a Partial Converse to Blackwell Ordering in Standard Borel Spaces Ian Hogeboom-Burr, Serdar Yüksel http://arxiv.org/abs/2005.06673v1 • [math.OC]Overlapping Schwarz Decomposition for Nonlinear Optimal Control Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala http://arxiv.org/abs/2005.06674v1 • [math.OC]The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems Gennaro Auricchio, Andrea Codegoni, Stefano Gualandi, Giuseppe Toscani, Marco Veneroni http://arxiv.org/abs/2005.06530v1 • [math.PR]Optimal Berry-Esséen bound for Maximum likelihood estimation of the drift parameter in $ α$-Brownian bridge Khalifa Es-Sebaiy, Jabrane Moustaaid http://arxiv.org/abs/2005.06905v1 • [math.ST]Consistency of permutation tests for HSIC and dHSIC David Rindt, Dino Sejdinovic, David Steinsaltz http://arxiv.org/abs/2005.06573v1 • [math.ST]Inference for a Step-Stress Model With Type-II and Progressive Type-II Censoring and Lognormally Distributed Lifetimes Aida Calviño http://arxiv.org/abs/2005.06860v1 • [math.ST]Information inequalities for the estimation of principal components Martin Wahl http://arxiv.org/abs/2005.06869v1 • [math.ST]Kernel Analog Forecasting: Multiscale Test Problems Dmitry Burov, Dimitrios Giannakis, Krithika Manohar, Andrew Stuart http://arxiv.org/abs/2005.06623v1 • [math.ST]On mean and/or variance mixtures of normal distributions Sharon X. Lee, Geoffrey J. McLachlan http://arxiv.org/abs/2005.06883v1 • [physics.flu-dyn]Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime Kartik Jain http://arxiv.org/abs/2005.07119v1 • [physics.soc-ph]Modeling the heterogeneous disease-behavior-information dynamics during epidemics Yang Ye, Qingpeng Zhang, Zhongyuan Ruan, Zhidong Cao, Qi Xuan, Daniel Dajun Zeng http://arxiv.org/abs/2005.07012v1 • [physics.soc-ph]Resilience and elasticity of co-evolving information ecosystems María J. Palazzi, Albert Solé-Ribalta, Violeta Calleja-Solanas, S andro Meloni, Carlos A. Plata, Samir Suweis, Javier Borge-Holthoefer http://arxiv.org/abs/2005.07005v1 • [physics.soc-ph]Spreading dynamics of infectious diseases on structured society with daily cycles Kenichi Nakazato, Masanori Takano http://arxiv.org/abs/2005.06658v1 • [q-bio.QM]Group testing as a strategy for the epidemiologic monitoring of COVID-19 Vincent Brault, Bastien Mallein, Jean-Francois Rupprecht http://arxiv.org/abs/2005.06776v1 • [stat.AP]Bayesian quantification for coherent anti-Stokes Raman scattering spectroscopy Teemu Härkönen, Lassi Roininen, Matthew T. Moores, Erik M. Vartiainen http://arxiv.org/abs/2005.06830v1 • [stat.AP]Combining Population and Study Data for Inference on Event Rates Christoph Rothe http://arxiv.org/abs/2005.06769v1 • [stat.AP]Moving from two- to multi-way interactions among binary risk factors on the additive scale Michail Katsoulis, Christina Bamia http://arxiv.org/abs/2005.07142v1 • [stat.AP]Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects Julius von Kügelgen, Luigi Gresele, Bernhard Schölkopf http://arxiv.org/abs/2005.07180v1 • [stat.ME]Bayesian Joint Modelling of Recurrence and Survival: a Conditional Approach Willem van den Boom, Marta Tallarita, Maria De Iorio http://arxiv.org/abs/2005.06819v1 • [stat.ME]Inference for a test-negative case-control study with added controls Bikram Karmakar, Dylan Small http://arxiv.org/abs/2005.06709v1 • [stat.ME]Recent advances in directional statistics Arthur Pewsey, Eduardo García-Portugués http://arxiv.org/abs/2005.06889v1 • [stat.ME]Robust Estimation for Linear Panel Data Models Beste Hamiye Beyaztas, Soutir Bandyopadhyay http://arxiv.org/abs/2005.06633v1