今日学术视野(2020.5.23)

astro-ph.IM - 仪器仪表和天体物理学方法

cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.FA - 泛函演算 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [astro-ph.IM]Complete coordination of robotic fiber positioners for massive spectroscopic surveys • [cs.AI]A quantum procedure for map generation • [cs.AI]Causality, Responsibility and Blame in Team Plans • [cs.AI]Information Acquisition Under Resource Limitations in a Noisy Environment • [cs.AI]Multi-agent model for risk prediction in surgery • [cs.CL]Automated Question Answer medical model based on Deep Learning Technology • [cs.CL]Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation • [cs.CL]Fluent Response Generation for Conversational Question Answering • [cs.CL]Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation • [cs.CL]LaCulturaNonSiFerma — Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown • [cs.CL]MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert • [cs.CL]MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora • [cs.CL]Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models • [cs.CL]RuBQ: A Russian Dataset for Question Answering over Wikidata • [cs.CL]ScriptWriter: Narrative-Guided Script Generation • [cs.CL]Stance Prediction and Claim Verification: An Arabic Perspective • [cs.CL]Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit • [cs.CL]Text-to-Text Pre-Training for Data-to-Text Tasks • [cs.CL]The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphs • [cs.CL]Towards Finite-State Morphology of Kurdish • [cs.CL]Unsupervised Quality Estimation for Neural Machine Translation • [cs.CL]Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation • [cs.CR]A Note on Cryptographic Algorithms for Private Data Analysis in Contact Tracing Applications • [cs.CR]A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging • [cs.CR]Authentication and Key Management Automation in Decentralized Secure Email and Messaging via Low-Entropy Secrets • [cs.CR]HQC-RMRS, an instantiation of the HQC encryption framework with a more efficient auxiliary error-correcting code • [cs.CR]SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning • [cs.CR]SafeComp: Protocol For Certifying Cloud Computations Integrity • [cs.CV]A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds • [cs.CV]A Neural Network Looks at Leonardo’s(?) Salvator Mundi • [cs.CV]AOWS: Adaptive and optimal network width search with latency constraints • [cs.CV]Bridging the gap between Natural and Medical Images through Deep Colorization • [cs.CV]Classification of Industrial Control Systems screenshots using Transfer Learning • [cs.CV]Classifying Suspicious Content in Tor Darknet • [cs.CV]Cross-Domain Few-Shot Learning with Meta Fine-Tuning • [cs.CV]Deep learning-based automated image segmentation for concrete petrographic analysis • [cs.CV]Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features • [cs.CV]Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation • [cs.CV]Few-shot Compositional Font Generation with Dual Memory • [cs.CV]Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation • [cs.CV]GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition • [cs.CV]Hierarchical Multi-Scale Attention for Semantic Segmentation • [cs.CV]HyperSTAR: Task-Aware Hyperparameters for Deep Networks • [cs.CV]InfoScrub: Towards Attribute Privacy by Targeted Obfuscation • [cs.CV]Instance-aware Image Colorization • [cs.CV]Interpretable and Accurate Fine-grained Recognition via Region Grouping • [cs.CV]MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images • [cs.CV]Manifold Alignment for Semantically Aligned Style Transfer • [cs.CV]Maplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints • [cs.CV]On Evaluating Weakly Supervised Action Segmentation Methods • [cs.CV]Panoptic Instance Segmentation on Pigs • [cs.CV]Perceptual Hashing applied to Tor domains recognition • [cs.CV]Powering One-shot Topological NAS with Stabilized Share-parameter Proxy • [cs.CV]Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification • [cs.CV]Revisiting Role of Autoencoders in Adversarial Settings • [cs.CV]Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack • [cs.CV]Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation • [cs.CV]TAO: A Large-Scale Benchmark for Tracking Any Object • [cs.CV]Towards Streaming Image Understanding • [cs.CV]Unsupervised anomaly localization using VAE and beta-VAE • [cs.CV]Unsupervised segmentation via semantic-apparent feature fusion • [cs.CV]VideoForensicsHQ: Detecting High-quality Manipulated Face Videos • [cs.CV]WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose • [cs.CV]Wish You Were Here: Context-Aware Human Generation • [cs.CY]A Recommender System For Open Educational Videos Based On Skill Requirements • [cs.CY]Principal Fairness for Human and Algorithmic Decision-Making • [cs.CY]Quality Prediction of Open Educational Resources A Metadata-based Approach • [cs.DB]Consistent and Flexible Selectivity Estimation for High-dimensional Data • [cs.DC]Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions • [cs.DC]BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond • [cs.DC]Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers • [cs.DC]High-Performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System • [cs.DC]Mapping Matters: Application Process Mapping on 3-D Processor Topologies • [cs.DC]Time-optimal Loosely-stabilizing Leader Election in Population Protocols • [cs.DL]Requirements Analysis for an Open Research Knowledge Graph • [cs.DS]A Massively Parallel Algorithm for Minimum Weight Vertex Cover • [cs.GT]Markets for Efficient Public Good Allocation • [cs.HC]Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog • [cs.IR]Adversarial Machine Learning in Recommender Systems: State of the art and Challenges • [cs.IR]CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network • [cs.IR]Context-Aware Learning to Rank with Self-Attention • [cs.IR]ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance • [cs.IR]Machine Identification of High Impact Research through Text and Image Analysis • [cs.IR]Sequential Recommendation with Self-Attentive Multi-Adversarial Network • [cs.IR]Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation • [cs.IT]An Importance Aware Weighted Coding Theorem Using Message Importance Measure • [cs.IT]Capacities and Optimal Input Distributions for Particle-Intensity Channels • [cs.IT]Communication Complexity of Distributed High Dimensional Correlation Testing • [cs.IT]Edge removal in undirected networks • [cs.IT]Escaping the Densification Plateau in Cellular Networks Through mmWave Beamforming • [cs.IT]Fisher information under local differential privacy • [cs.IT]Hierarchical sparse recovery from hierarchically structured measurements • [cs.IT]Information Freshness in Cache Updating Systems with Limited Cache Storage Capacity • [cs.IT]On Characterization of Entropic Vectors at the Boundary of Almost Entropic Cones • [cs.IT]On the Partition Bound for Undirected Unicast Network Information Capacity • [cs.IT]Sequential Universal Modeling for Non-Binary Sequences with Constrained Distributions • [cs.IT]Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information • [cs.IT]Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation • [cs.IT]THz Precoding for 6G: Applications, Challenges, Solutions, and Opportunities • [cs.IT]Undirected Unicast Network Capacity: A Partition Bound • [cs.LG]A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity • [cs.LG]A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments • [cs.LG]Accelerated Convergence for Counterfactual Learning to Rank • [cs.LG]Adversarial Canonical Correlation Analysis • [cs.LG]An Adversarial Approach for Explaining the Predictions of Deep Neural Networks • [cs.LG]An Analysis of Regularized Approaches for Constrained Machine Learning • [cs.LG]An Incremental Clustering Method for Anomaly Detection in Flight Data • [cs.LG]An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges • [cs.LG]Beyond the storage capacity: data driven satisfiability transition • [cs.LG]CPOT: Channel Pruning via Optimal Transport • [cs.LG]Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective • [cs.LG]Consensus Driven Learning • [cs.LG]Deep Reinforcement Learning for High Level Character Control • [cs.LG]Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy • [cs.LG]Graph Structure Learning for Robust Graph Neural Networks • [cs.LG]Greedy Algorithm almost Dominates in Smoothed Contextual Bandits • [cs.LG]Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey • [cs.LG]Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands • [cs.LG]Learning to rank via combining representations • [cs.LG]Model-Based Robust Deep Learning • [cs.LG]Neural ODEs for Informative Missingness in Multivariate Time Series • [cs.LG]Novel Policy Seeking with Constrained Optimization • [cs.LG]Off-policy Learning for Remote Electrical Tilt Optimization • [cs.LG]On the Locality of the Natural Gradient for Deep Learning • [cs.LG]Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator • [cs.LG]Provably Efficient Reinforcement Learning with General Value Function Approximation • [cs.LG]Studying Product Competition Using Representation Learning • [cs.LG]Supervised Learning in the Presence of Concept Drift: A modelling framework • [cs.LG]Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications • [cs.LG]TASO: Time and Space Optimization for Memory-Constrained DNN Inference • [cs.LG]Transfer learning based multi-fidelity physics informed deep neural network • [cs.LG]Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets • [cs.LG]Why distillation helps: a statistical perspective • [cs.LG]rTop-k: A Statistical Estimation Approach to Distributed SGD • [cs.MS]SymJAX: symbolic CPU/GPU/TPU programming • [cs.RO]Accurate position tracking with a single UWB anchor • [cs.RO]MDPs with Unawareness in Robotics • [cs.RO]Robotics Meets Cosmetic Dermatology: Development of a Novel Vision-Guided System for Skin Photo-Rejuvenation • [cs.SD]An approach to Beethoven’s 10th Symphony • [cs.SD]Simplified Self-Attention for Transformer-based End-to-End Speech Recognition • [cs.SD]Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection • [cs.SE]Graph-based, Self-Supervised Program Repair from Diagnostic Feedback • [cs.SE]Unsupposable Test-data Generation for Machine-learned Software • [cs.SI]A Clarified Typology of Core-Periphery Structure in Networks • [cs.SI]Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements • [cs.SI]CSNE: Conditional Signed Network Embedding • [cs.SI]On the Aggression Diffusion Modeling and Minimization in Online Social Networks • [cs.SI]Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo • [eess.AS]ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition • [eess.AS]Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario • [eess.AS]Improving Proper Noun Recognition in End-to-End ASR By Customization of f6e the MWER Loss Criterion • [eess.AS]Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis • [eess.AS]Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning • [eess.AS]Multistream CNN for Robust Acoustic Modeling • [eess.AS]Towards Cover Song Detection with Siamese Convolutional Neural Networks • [eess.AS]Training Keyword Spotting Models on Non-IID Data with Federated Learning • [eess.IV]A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios • [eess.IV]Attention-based network for low-light image enhancement • [eess.IV]Efficient and Phase-aware Video Super-resolution for Cardiac MRI • [eess.IV]HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation • [eess.IV]Medical Image Generation using Generative Adversarial Networks • [eess.IV]Omnidirectional Images as Moving Camera Videos • [eess.IV]Single Image Super-Resolution via Residual Neuron Attention Networks • [eess.IV]Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network • [eess.SY]Computationally efficient stochastic MPC: a probabilistic scaling approach • [math.FA]Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels • [math.OC]An Optimal Algorithm for Decentralized Finite Sum Optimization • [math.OC]Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping • [math.PR]Inference on the History of a Randomly Growing Tree • [math.ST]Beta Poisson-G Family of Distributions: Its Properties and Application with Failure Time Data • [math.ST]Computationally efficient sparse clustering • [math.ST]Detecting a botnet in a network • [math.ST]Extrapolating the profile of a finite population • [math.ST]Infinite-dimensional gradient-based descent for alpha-divergence minimisation • [math.ST]Revisiting Concentration of Missing Mass • [math.ST]Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits • [q-bio.NC]Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI • [q-bio.QM]A Minimal-Input Multilayer Perceptron for Predicting Drug-Drug Interactions Without Knowledge of Drug Structure • [stat.AP]A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain • [stat.ME]Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach • [stat.ME]Dependence on a collection of Poisson random variables • [stat.ME]Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation • [stat.ME]Functional principal component analysis for global sensitivity analysis of model with spatial output • [stat.ME]Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data • [stat.ME]The Hypothesis of Testing: Paradoxes arising out of reported coronavirus case-counts • [stat.ME]The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach • [stat.ME]The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions • [stat.ME]Using the “Hidden” Genome to Improve Classification of Cancer Types • [stat.ML]Graphical continuous Lyapunov models • [stat.ML]Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging • [stat.ML]Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring • [stat.ML]Learning Undirected Graphs in Financial Markets ····································· • [astro-ph.IM]Complete coordination of robotic fiber positioners for massive spectroscopic surveys Matin Macktoobian, Denis Gillet, Jean-Paul Kneib http://arxiv.org/abs/2005.10448v1 • [cs.AI]A quantum procedure for map generation James R. Wootton http://arxiv.org/abs/2005.10327v1 • [cs.AI]Causality, Responsibility and Blame in Team Plans Natasha Alechina, Joseph Y. Halpern, Brian Logan http://arxiv.org/abs/2005.10297v1 • [cs.AI]Information Acquisition Under Resource Limitations in a Noisy Environment Matvey Soloviev, Joseph Y. Halpern http://arxiv.org/abs/2005.10383v1 • [cs.AI]Multi-agent model for risk prediction in surgery Bruno Perez, Julien Henriet, Christophe Lang, Laurent Philippe http://arxiv.org/abs/2005.10738v1 • [cs.CL]Automated Question Answer medical model based on Deep Learning Technology Abdelrahman Abdallah, Mahmoud Kasem, Mohamed Hamada, Shaymaa Sdeek http://arxiv.org/abs/2005.10416v1 • [cs.CL]Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation Weixin Liang, James Zou, Zhou Yu http://arxiv.org/abs/2005.10716v1 • [cs.CL]Fluent Response Generation for Conversational Question Answering Ashutosh Baheti, Alan Ritter, Kevin Small http://arxiv.org/abs/2005.10464v1 • [cs.CL]Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation Bryan Eikema, Wilker Aziz http://arxiv.org/abs/2005.10283v1 • [cs.CL]LaCulturaNonSiFerma — Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown Carola Carlino, Gennaro Nolano, Maria Pia di Buono, Johanna Monti http://arxiv.org/abs/2005.10527v1 • [cs.CL]MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang http://arxiv.org/abs/2005.10450v1 • [cs.CL]MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton http://arxiv.org/abs/2005.10583v1 • [cs.CL]Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky http://arxiv.org/abs/2005.10389v1 • [cs.CL]RuBQ: A Russian Dataset for Question Answering over Wikidata Vladislav Korablinov, Pavel Braslavski http://arxiv.org/abs/2005.10659v1 • [cs.CL]ScriptWriter: Narrative-Guided Script Generation Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, Jin Zhou http://arxiv.org/abs/2005.10331v1 • [cs.CL]Stance Prediction and Claim Verification: An Arabic Perspective Jude Khouja http://arxiv.org/abs/2005.10410v1 • [cs.CL]Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay http://arxiv.org/abs/2005.10454v1 • [cs.CL]Text-to-Text Pre-Training for Data-to-Text Tasks Mihir Kale http://arxiv.org/abs/2005.10433v1 • [cs.CL]The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphs Alexander Mehler, Bernhard Jussen, Tim Geelhaar, Alexander Henlein, Giuseppe Abrami, Daniel Baumartz, Tolga Uslu, Wahed Hemati http://arxiv.org/abs/2005.10790v1 • [cs.CL]Towards Finite-State Morphology of Kurdish Sina Ahmadi, Hossein Hassani http://arxiv.org/abs/2005.10652v1 • [cs.CL]Unsupervised Quality Estimation for Neural Machine Translation Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia http://arxiv.org/abs/2005.10608v1 • [cs.CL]Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu, Hung-yi Lee http://arxiv.org/abs/2005.10678v1 • [cs.CR]A Note on Cryptographic Algorithms for Private Data Analysis in Contact Tracing Applications Rajan M A, Manish Shukla, Sachin Lodha http://arxiv.org/abs/2005.10634v1 • [cs.CR]A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging Francesco Buccafurri, Vincenzo De Angelis, Cecilia Labrini http://arxiv.org/abs/2005.10309v1 • [cs.CR]Authentication and Key Management Automation in Decentralized Secure Email and Messaging via Low-Entropy Secrets Itzel Vazquez Sandoval, Arash Atashpendar, Gabriele Lenzini http://arxiv.org/abs/2005.10787v1 • [cs.CR]HQC-RMRS, an instantiation of the HQC encryption framework with a more efficient auxiliary error-correcting code Nicolas Aragon, Philippe Gaborit, Gilles Zémor http://arxiv.org/abs/2005.10741v1 • [cs.CR]SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh http://arxiv.org/abs/2005.10296v1 • [cs.CR]SafeComp: Protocol For Certifying Cloud Computations Integrity Evgeny Shishkin, Evgeny Kislitsyn http://arxiv.org/abs/2005.10786v1 • [cs.CV]A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds Mohammed Yousefhussiena, David J. Kelbeb, Carl Salvaggioa http://arxiv.org/abs/2005.10745v1 • [cs.CV]A Neural Network Looks at Leonardo’s(?) Salvator Mundi Steven J. Frank, Andrea M. Frank http://arxiv.org/abs/2005.10600v1 • [cs.CV]AOWS: Adaptive and optimal network width search with latency constraints Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni http://arxiv.org/abs/2005.10481v1 • [cs.CV]Bridging the gap between Natural and Medical Images through Deep Colorization Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi http://arxiv.org/abs/2005.10589v1 • [cs.CV]Classification of Industrial Control Systems screenshots using Transfer Learning Pablo Blanco Medina, Eduardo Fidalgo Fernandez, Enrique Alegre, Francisco Jáñez Martino, Roberto A. Vasco-Carofilis, Víctor Fidalgo Villar http://arxiv.org/abs/2005.10098v2 • [cs.CV]Classifying Suspicious Content in Tor Darknet Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez Martino, Pablo Blanco Medina http://arxiv.org/abs/2005.10086v2 • [cs.CV]Cross-Domain Few-Shot Learning with Meta Fine-Tuning John Cai, Sheng Mei Shen http://arxiv.org/abs/2005.10544v1 • [cs.CV]Deep learning-based automated image segmentation for concrete petrographic analysis Yu Song, Zilong Huang, Chuanyue Shen, Honghui Shi, David A Lange http://arxiv.org/abs/2005.10434v1 • [cs.CV]Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features Tianxin Shi, Hainan Cui, Zhuo Song, Shuhan Shen http://arxiv.org/abs/2005.10766v1 • [cs.CV]Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee, Seong Tae Kim, Nassir Navab, Yong Man Ro http://arxiv.org/abs/2005.10754v1 • [cs.CV]Few-shot Compositional Font Generation with Dual Memory Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee http://arxiv.org/abs/2005.10510v1 • [cs.CV]Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation Jungseock Joo, Kimmo Kärkkäinen http://arxiv.org/abs/2005.10430v1 • [cs.CV]GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin http://arxiv.org/abs/2005.10497v1 • [cs.CV]Hierarchical Multi-Scale Attention for Semantic Segmentation Andrew Tao, Karan Sapra, Bryan Catanzaro http://arxiv.org/abs/2005.10821v1 • [cs.CV]HyperSTAR: Task-Aware Hyperparameters for Deep Networks Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu http://arxiv.org/abs/2005.10524v1 • [cs.CV]InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz http://arxiv.org/abs/2005.10329v1 • [cs.CV]Instance-aware Image Colorization Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang http://arxiv.org/abs/2005.10825v1 • [cs.CV]Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang, Yin Li http://arxiv.org/abs/2005.10411v1 • [cs.CV]MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei http://arxiv.org/abs/2005.10582v1 • [cs.CV]Manifold Alignment for Semantically Aligned Style Transfer Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao http://arxiv.org/abs/2005.10777v1 • [cs.CV]Maplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints Kevin M. Brink, Jincheng Zhang, Andrew R. Willis, Ryan E. Sherrill, Jamie L. Godwin http://arxiv.org/abs/2005.10310v1 • [cs.CV]On Evaluating Weakly Supervised Action Segmentation Methods Yaser Souri, Alexander Richard, Luca Minciullo, Juergen Gall http://arxiv.org/abs/2005.09743v2 • [cs.CV]Panoptic Instance Segmentation on Pigs Johannes Brünger, Maria Gentz, Imke Traulsen, Reinhard Koch http://arxiv.org/abs/2005.10499v1 • [cs.CV]Perceptual Hashing applied to Tor domains recognition Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez, Francisco Jáñez Martino, Pablo Blanco Medina http://arxiv.org/abs/2005.10090v2 • [cs.CV]Powering One-shot Topological NAS with Stabilized Share-parameter Proxy Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan http://arxiv.org/abs/2005.10511v1 • [cs.CV]Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro http://arxiv.org/abs/2005.10550v1 • [cs.CV]Revisiting Role of Autoencoders in Adversarial Settings Byeong Cheon Kim, Jung Uk Kim, Hakmin Lee, Yong Man Ro http://arxiv.org/abs/2005.10750v1 • [cs.CV]Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro http://arxiv.org/abs/2005.10757v1 • [cs.CV]Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens http://arxiv.org/abs/2005.10266v1 • [cs.CV]TAO: A Large-Scale Benchmark for Tracking Any Object Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan http://arxiv.org/abs/2005.10356v1 • [cs.CV]Towards Streaming Image Understanding Mengtian Li, Yu-Xiong Wang, Deva Ramanan http://arxiv.org/abs/2005.10420v1 • [cs.CV]Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou, Wenxiang Deng, Xiaodong Wu http://arxiv.org/abs/2005.10686v1 • [cs.CV]Unsupervised segmentation via semantic-apparent feature fusion Xi Li, Huimin Ma, Hongbing Ma, Yidong Wang http://arxiv.org/abs/2005.10513v1 • [cs.CV]VideoForensicsHQ: Detecting High-quality Manipulated Face Videos Gereon Fox, Wentao Liu, Hyeongwoo Kim, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt http://arxiv.org/abs/2005.10360v1 • [cs.CV]WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose Yijun Zhou, James Gregson http://arxiv.org/abs/2005.10353v1 • [cs.CV]Wish You Were Here: Context-Aware Human Generation Oran Gafni, Lior Wolf http://arxiv.org/abs/2005.10663v1 • [cs.CY]A Recommender System For Open Educational Videos Based On Skill Requirements Mohammadreza Tavakoli, Sherzod Hakimov, Ralph Ewerth, Gábor Kismihók http://arxiv.org/abs/2005.10595v1 • [cs.CY]Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai, Zhichao Jiang http://arxiv.org/abs/2005.10400v1 • [cs.CY]Quality Prediction of Open Educational Resources A Metadata-based Approach Mohammadreza Tavakoli, Mirette Elias, Gábor Kismihók, Sören Auer http://arxiv.org/abs/2005.10542v1 • [cs.DB]Consistent and Flexible Selectivity Estimation for High-dimensional Data Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Onizuka Makoto, Wei Wang, Rui Zhang http://arxiv.org/abs/2005.09908v1 • [cs.DC]Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya http://arxiv.org/abs/2005.10460v1 • [cs.DC]BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond Hao Xu, Lei Zhang, Oluwakayode Onireti, Yang Fang, William Bill Buchanan, Muhammad Ali Imran http://arxiv.org/abs/2005.10103v2 • [cs.DC]Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers David Brayford, Sofia Vallercorsa http://arxiv.org/abs/2005.10676v1 • [cs.DC]High-Performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System Yaniv Rubinpur, Sivan Toledo http://arxiv.org/abs/2005.10445v1 • [cs.DC]Mapping Matters: Application Process Mapping on 3-D Processor Topologies Jonas H. Müller Korndörfer, Mario Bielert, Laércio L. Pilla, Florina M. Ciorba http://arxiv.org/abs/2005.10413v1 • [cs.DC]Time-optimal Loosely-stabilizing Leader Election in Population Protocols Yuichi Sudo, Ryota Eguchi, Taisuke Izumi, Toshimitsu Masuzawa http://arxiv.org/abs/2005.09944v1 • [cs.DL]Requirements Analysis for an Open Research Knowledge Graph Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth http://arxiv.org/abs/2005.10334v1 • [cs.DS]A Massively Parallel Algorithm for Minimum Weight Vertex Cover Mohsen Ghaffari, Ce Jin, Daan Nilis http://arxiv.org/abs/2005.10566v1 • [cs.GT]Markets for Efficient Public Good Allocation Devansh Jalota, Marco Pavone, Yinyu Ye http://arxiv.org/abs/2005.10765v1 • [cs.HC]Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog Vikram Ramanarayanan, Matthew Mulholland, Debanjan Ghosh http://arxiv.org/abs/2005.09834v1 • [cs.IR]Adversarial Machine Learning in Recommender Systems: State of the art and Challenges Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra http://arxiv.org/abs/2005.10322v1 • [cs.IR]CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun http://arxiv.org/abs/2005.10549v1 • [cs.IR]Context-Aware Learning to Rank with Self-Attention Przemysław Pobrotyn, Tomasz Bartczak, Mikołaj Synowiec, Radosław Białobrzeski, Jarosław Bojar http://arxiv.org/abs/2005.10084v2 • [cs.IR]ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng http://arxiv.org/abs/2005.10545v1 • [cs.IR]Machine Identification of High Impact Research through Text and Image Analysis Marko Stamenovic, Jeibo Luo http://arxiv.org/abs/2005.10321v1 • [cs.IR]Sequential Recommendation with Self-Attentive Multi-Adversarial Network Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen http://arxiv.org/abs/2005.10602v1 • [cs.IR]Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram http://arxiv.org/abs/2005.10473v1 • [cs.IT]An Importance Aware Weighted Coding Theorem Using Message Importance Measure Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief http://arxiv.org/abs/2005.10718v1 • [cs.IT]Capacities and Optimal Input Distributions for Particle-Intensity Channels Nariman Farsad, Will Chuang, Andrea Goldsmith, Christos Komninakis, Muriel Médard, Christopher Rose, Lieven Vandenberghe, Emily E. Wesel, Richard D. Wesel http://arxiv.org/abs/2005.10682v1 • [cs.IT]Communication Complexity of Distributed High Dimensional Correlation Testing K. R. Sahasranand, Himanshu Tyagi http://arxiv.org/abs/2005.10571v1 • [cs.IT]Edge removal in undirected networks Michael Langberg, Michelle Effros http://arxiv.org/abs/2005.10315v1 • [cs.IT]Escaping the Densification Plateau in Cellular Networks Through mmWave Beamforming Ahmad AlAmmouri, Manan Gupta, Francois Baccelli, Jeffrey G. Andrews http://arxiv.org/abs/2005.10565v1 • [cs.IT]Fisher information under local differential privacy Leighton Pate Barnes, Wei-Ning Chen, Ayfer Ozgur http://arxiv.org/abs/2005.10783v1 • [cs.IT]Hierarchical sparse recovery from hierarchically structured measurements Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder http://arxiv.org/abs/2005.10379v1 • [cs.IT]Information Freshness in Cache Updating Systems with Limited Cache Storage Capacity Melih Bastopcu, Sennur Ulukus http://arxiv.org/abs/2005.10683v1 • [cs.IT]On Characterization of Entropic Vectors at the Boundary of Almost Entropic Cones Hitika Tiwari, Satyajit Thakor http://arxiv.org/abs/2005.10526v1 • [cs.IT]On the Partition Bound for Undirected Unicast Network Information Capacity Mohammad Ishtiyaq Qureshi, Satyajit Thakor http://arxiv.org/abs/2005.10536v1 • [cs.IT]Sequential Universal Modeling for Non-Binary Sequences with Constrained Distributions Michael Drmota, Gil Shamir, Wojciech Szpankowski http://arxiv.org/abs/2005.10320v1 • [cs.IT]Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information Lampros Gavalakis, Ioannis Kontoyiannis http://arxiv.org/abs/2005.10823v1 • [cs.IT]Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation Wenzhi Fang, Min Fu, Kunlun Wang, Yuanming Shi, Yong Zhou http://arxiv.org/abs/2005.10625v1 • [cs.IT]THz Precoding for 6G: Applications, Challenges, Solutions, and Opportunities Jingbo Tan, Linglong Dai http://arxiv.org/abs/2005.10752v1 • [cs.IT]Undirected Unicast Network Capacity: A Partition Bound Satyajit Thakor, Mohammad Ishtiyaq Qureshi http://arxiv.org/abs/2005.10530v1 • [cs.LG]A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity Zixiao Shen, Xin Chen, Jonathan M. Garibaldi http://arxiv.org/abs/2005.09856v2 • [cs.LG]A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla http://arxiv.org/abs/2005.10619v1 • [cs.LG]Accelerated Convergence for Counterfactual Learning to Rank Rolf Jagerman, Maarten de Rijke http://arxiv.org/abs/2005.10615v1 • [cs.LG]Adversarial Canonical Correlation Analysis Benjamin Dutton http://arxiv.org/abs/2005.10349v1 • [cs.LG]An Adversarial Approach for Explaining the Predictions of Deep Neural Networks Arash Rahnama, Andrew Tseng http://arxiv.org/abs/2005.10284v1 • [cs.LG]An Analysis of Regularized Approaches for Constrained Machine Learning Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano http://arxiv.org/abs/2005.10674v1 • [cs.LG]An Incremental Clustering Method for Anomaly Detection in Flight Data Weizun Zhao, Lishuai Li, Sameer Alam, Yanjun Wang http://arxiv.org/abs/2005.09874v2 • [cs.LG]An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges David Charte, Francisco Charte, María J. del Jesus, Francisco Herrera http://arxiv.org/abs/2005.10516v1 • [cs.LG]Beyond the storage capacity: data driven satisfiability transition Pietro Rotondo, Mauro Pastore, Marco Gherardi http://arxiv.org/abs/2005.09992v1 • [cs.LG]CPOT: Channel Pruning via Optimal Transport Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu http://arxiv.org/abs/2005.10451v1 • [cs.LG]Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective Stephan Wojtowytsch, Weinan E http://arxiv.org/abs/2005.10815v1 • [cs.LG]Consensus Driven Learning Kyle Crandall, Dustin Webb http://arxiv.org/abs/2005.10300v1 • [cs.LG]Deep Reinforcement Learning for High Level Character Control Caio Souza, Luiz Velho http://arxiv.org/abs/2005.10391v1 • [cs.LG]Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi http://arxiv.org/abs/2005.09209v2 • [cs.LG]Graph Structure Learning for Robust Graph Neural Networks Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang http://arxiv.org/abs/2005.10203v2 • [cs.LG]Greedy Algorithm almost Dominates in Smoothed Contextual Bandits Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu http://arxiv.org/abs/2005.10624v1 • [cs.LG]Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey Andrea Borghesi, Federico Baldo, Michela Milano http://arxiv.org/abs/2005.10691v1 • [cs.LG]Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands Liam Schramm, Avishai Sintov, Abdeslam Boularias http://arxiv.org/abs/2005.10418v1 • [cs.LG]Learning to rank via combining representations Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe http://arxiv.org/abs/2005.10700v1 • [cs.LG]Model-Based Robust Deep Learning Alexander Robey, Hamed Hassani, George J. Pappas http://arxiv.org/abs/2005.10247v1 • [cs.LG]Neural ODEs for Informative Missingness in Multivariate Time Series Mansura Habiba, Barak A. Pearlmutter http://arxiv.org/abs/2005.10693v1 • [cs.LG]Novel Policy Seeking with Constrained Optimization Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou http://arxiv.org/abs/2005.10696v1 • [cs.LG]Off-policy Learning for Remote Electrical Tilt Optimization Filippo Vannella, Jaeseong Jeong, Alexandre Proutiere http://arxiv.org/abs/2005.10577v1 • [cs.LG]On the Locality of the Natural Gradient for Deep Learning Nihat Ay http://arxiv.org/abs/2005.10791v1 • [cs.LG]Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian http://arxiv.org/abs/2005.10477v1 • [cs.LG]Provably Efficient Reinforcement Learning with General Value Function Approximation Ruosong Wang, Ruslan Salakhutdinov, Lin F. Yang http://arxiv.org/abs/2005.10804v1 • [cs.LG]Studying Product Competition Using Representation Learning Fanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong http://arxiv.org/abs/2005.10402v1 • [cs.LG]Supervised Learning in the Presence of Concept Drift: A modelling framework Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl http://arxiv.org/abs/2005.10531v1 • [cs.LG]Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications Jose Roberto Ayala-Solares, Hiram Ponce http://arxiv.org/abs/2005.10348v1 • [cs.LG]TASO: Time and Space Optimization for Memory-Constrained DNN Inference Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O’Boyle, David Gregg http://arxiv.org/abs/2005.10709v1 • [cs.LG]Transfer learning based multi-fidelity physics informed deep neural network Souvik Chakraborty http://arxiv.org/abs/2005.10614v1 • [cs.LG]Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu http://arxiv.org/abs/2005.10622v1 • [cs.LG]Why distillation helps: a statistical perspective Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar http://arxiv.org/abs/2005.10419v1 • [cs.LG]rTop-k: A Statistical Estimation Approach to Distributed SGD Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Ozgur http://arxiv.org/abs/2005.10761v1 • [cs.MS]SymJAX: symbolic CPU/GPU/TPU programming Randall Balestriero http://arxiv.org/abs/2005.10635v1 • [cs.RO]Accurate position tracking with a single UWB anchor Yanjun Cao, Chenhao Yang, Rui Li, Alois Knoll, Giovanni Beltrame http://arxiv.org/abs/2005.10648v1 • [cs.RO]MDPs with Unawareness in Robotics Nan Rong, Joseph Y. Halpern, Ashutosh Saxena http://arxiv.org/abs/2005.10381v1 • [cs.RO]Robotics Meets Cosmetic Dermatology: Development of a Novel Vision-Guided System for Skin Photo-Rejuvenation Muhammad Muddassir, Domingo Gomez, Shujian Chen, Luyin Hu, David Navarro-Alarcon http://arxiv.org/abs/2005.10462v1 • [cs.SD]An approach to Beethoven’s 10th Symphony Paula Muñoz-Lago, Gonzalo Méndez http://arxiv.org/abs/2005.10539v1 • [cs.SD]Simplified Self-Attention for Transformer-based End-to-End Speech Recognition Haoneng Luo, Shiliang Zhang, Ming Lei, Lei Xie http://arxiv.org/abs/2005.10463v1 • [cs.SD]Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes http://arxiv.org/abs/2005.10480v1 • [cs.SE]Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga, Percy Liang http://arxiv.org/abs/2005.10636v1 • [cs.SE]Unsupposable Test-data Generation for Machine-learned Software Naoto Sato, Hironobu Kuruma, Hideto Ogawa http://arxiv.org/abs/2005.10442v1 • [cs.SI]A Clarified Typology of Core-Periphery Structure in Networks Ryan J. Gallagher, Jean-Gabriel Young, Brooke Foucault Welles http://arxiv.org/abs/2005.10191v2 • [cs.SI]Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding http://arxiv.org/abs/2005.10414v1 • [cs.SI]CSNE: Conditional Signed Network Embedding Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie http://arxiv.org/abs/2005.10701v1 • [cs.SI]On the Aggression Diffusion Modeling and Minimization in Online Social Networks Marinos Poiitis, Athena Vakali, Nicolas Kourtellis http://arxiv.org/abs/2005.10646v1 • [cs.SI]Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao http://arxiv.org/abs/2005.09174v3 • [eess.AS]ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu J. Han, Tao Lei, Tao Ma http://arxiv.org/abs/2005.10469v1 • [eess.AS]Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario Zexin Cai, Yaogen Yang, Ming Li http://arxiv.org/abs/2005.10441v1 • [eess.AS]Improving Proper Noun Recognition in End-to-End ASR By Customization of f6e the MWER Loss Criterion Cal Peyser, Tara N. Sainath, Golan Pundak http://arxiv.org/abs/2005.09756v1 • [eess.AS]Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis Yusuke Yasuda, Xin Wang, Junichi Yamagishi http://arxiv.org/abs/2005.10390v1 • [eess.AS]Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning Zhiping Zeng, Van Tung Pham, Haihua Xu, Yerbolat Khassanov, Eng Siong Chng, Chongjia Ni, Bin Ma http://arxiv.org/abs/2005.10407v1 • [eess.AS]Multistream CNN for Robust Acoustic Modeling Kyu J. Han, Jing Pan, Venkata Krishna Naveen Tadala, Tao Ma, Dan Povey http://arxiv.org/abs/2005.10470v1 • [eess.AS]Towards Cover Song Detection with Siamese Convolutional Neural Networks Marko Stamenovic http://arxiv.org/abs/2005.10294v1 • [eess.AS]Training Keyword Spotting Models on Non-IID Data with Federated Learning Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio Lopez Moreno, Rajiv Mathews http://arxiv.org/abs/2005.10406v1 • [eess.IV]A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger http://arxiv.org/abs/2005.10326v1 • [eess.IV]Attention-based network for low-light image enhancement Cheng Zhang, Qingsen Yan, Yu zhu, Xianjun Li, Jinqiu Sun, Yanning Zhang http://arxiv.org/abs/2005.09829v2 • [eess.IV]Efficient and Phase-aware Video Super-resolution for Cardiac MRI Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu http://arxiv.org/abs/2005.10626v1 • [eess.IV]HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen http://arxiv.org/abs/2005.10439v1 • [eess.IV]Medical Image Generation using Generative Adversarial Networks Nripendra Kumar Singh, Khalid Raza http://arxiv.org/abs/2005.10687v1 • [eess.IV]Omnidirectional Images as Moving Camera Videos Xiangjie Sui, Kede Ma, Yiru Yao, Yuming Fang http://arxiv.org/abs/2005.10547v1 • [eess.IV]Single Image Super-Resolution via Residual Neuron Attention Networks Wenjie Ai, Xiaoguang Tu, Shilei Cheng, Mei Xie http://arxiv.org/abs/2005.10455v1 • [eess.IV]Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network Jussi Leinonen, Daniele Nerini, Alexis Berne http://arxiv.org/abs/2005.10374v1 • [eess.SY]Computationally efficient stochastic MPC: a probabilistic scaling approach Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen http://arxiv.org/abs/2005.10572v1 • [math.FA]Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels Weinan E, Stephan Wojtowytsch http://arxiv.org/abs/2005.10807v1 • [math.OC]An Optimal Algorithm for Decentralized Finite Sum Optimization Hadrien Hendrikx, Francis Bach, Laurent Massoulie http://arxiv.org/abs/2005.10675v1 • [math.OC]Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping Eduard Gorbunov, Marina Danilova, Alexander Gasnikov http://arxiv.org/abs/2005.10785v1 • [math.PR]Inference on the History of a Randomly Growing Tree Harry Crane, Min Xu http://arxiv.org/abs/2005.08794v2 • [math.ST]Beta Poisson-G Family of Distributions: Its Properties and Application with Failure Time Data Laba Handique, Subrata Chakraborty, Farrukh Jamal http://arxiv.org/abs/2005.10690v1 • [math.ST]Computationally efficient sparse clustering Matthias Löffler, Alexander S. Wein, Afonso S. Bandeira http://arxiv.org/abs/2005.10817v1 • [math.ST]Detecting a botnet in a network Gianmarco Bet, Kay Bogerd, Rui M. Castro, Remco van der Hofstad http://arxiv.org/abs/2005.10650v1 • [math.ST]Extrapolating the profile of a finite population Soham Jana, Yury Polyanskiy, Yihong Wu http://arxiv.org/abs/2005.10561v1 • [math.ST]Infinite-dimensional gradient-based descent for alpha-divergence minimisation Kamélia Daudel, Randal Douc, François Portier http://arxiv.org/abs/2005.10618v1 • [math.ST]Revisiting Concentration of Missing Mass Maciej Skorski http://arxiv.org/abs/2005.10018v2 • [math.ST]Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo, Anru R. Zhang http://arxiv.org/abs/2005.10743v1 • [q-bio.NC]Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI Jesse A. Livezey, Joshua I. Glaser http://arxiv.org/abs/2005.09687v1 • [q-bio.QM]A Minimal-Input Multilayer Perceptron for Predicting Drug-Drug Interactions Without Knowledge of Drug Structure Alun Stokes, William Hum, Jonathan Zaslavsky http://arxiv.org/abs/2005.10644v1 • [stat.AP]A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain Stefano Cabras http://arxiv.org/abs/2005.10335v1 • [stat.ME]Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach William J. Artman, Ashkan Ertefaie, Kevin G. Lynch, James R. McKay, Brent A. Johnson http://arxiv.org/abs/2005.10307v1 • [stat.ME]Dependence on a collection of Poisson random variables Luis E. Nieto-Barajas http://arxiv.org/abs/2005.10306v1 • [stat.ME]Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation Shu Yang, Xiaofei Wang, Donglin Zeng http://arxiv.org/abs/2005.10579v1 • [stat.ME]Functional principal component analysis for global sensitivity analysis of model with spatial output T. V. E. Perrin, O. Roustant, J. Rohmer, O. Alata, J. P. Naulin, D. Idier, R. Pedreros, D. Moncoulon, P. Tinard http://arxiv.org/abs/2005.10285v1 • [stat.ME]Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data Jun Yu, HaiYing Wang, Mingyao Ai, Huiming Zhang http://arxiv.org/abs/2005.10435v1 • [stat.ME]The Hypothesis of Testing: Paradoxes arising out of reported coronavirus case-counts Walter Dempsey http://arxiv.org/abs/2005.10425v1 • [stat.ME]The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach Yitao Lu, Julie Zhou, Li Xing, Xuekui Zhang http://arxiv.org/abs/2005.10494v1 • [stat.ME]The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana http://arxiv.org/abs/2005.10287v1 • [stat.ME]Using the “Hidden” Genome to Improve Classification of Cancer Types Saptarshi Chakraborty, Colin B. Begg, Ronglai Shen http://arxiv.org/abs/2005.10779v1 • [stat.ML]Graphical continuous Lyapunov models Gherardo Varando, Niels Richard Hansen http://arxiv.org/abs/2005.10483v1 • [stat.ML]Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski http://arxiv.org/abs/2005.10629v1 • [stat.ML]Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring Antoine Blanchard, Themistoklis Sapsis http://arxiv.org/abs/2005.10040v2 • [stat.ML]Learning Undirected Graphs in Financial Markets José Vinícius de Miranda Cardoso, Daniel P. Palomar http://arxiv.org/abs/2005.09958v2