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.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SC - 符号计算 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.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]A Group-Theoretic Framework for Knowledge Graph Embedding • [cs.AI]DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models • [cs.AI]Evaluating Generalisation in General Video Game Playing • [cs.AI]Givenness Hierarchy Theoretic Cognitive Status Filtering • [cs.AI]Reinforcement learning with human advice. A survey • [cs.AI]microPhantom: Playing microRTS under uncertainty and chaos • [cs.CL]A Generative Approach to Titling and Clustering Wikipedia Sections • [cs.CL]Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning • [cs.CL]Character-level Transformer-based Neural Machine Translation • [cs.CL]Comparative Study of Machine Learning Models and BERT on SQuAD • [cs.CL]End-to-end Named Entity Recognition from English Speech • [cs.CL]Evaluating Neural Morphological Taggers for Sanskrit • [cs.CL]Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned • [cs.CL]Improving Segmentation for Technical Support Problems • [cs.CL]Intent Mining from past conversations for Conversational Agent • [cs.CL]Investigating Label Bias in Beam Search for Open-ended Text Generation • [cs.CL]Living Machines: A study of atypical animacy • [cs.CL]Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection • [cs.CL]RUSSE’2020: Findings of the First Taxonomy Enrichment Task for the Russian language • [cs.CL]Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models • [cs.CL]Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation • [cs.CL]T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing • [cs.CR]Premium Access to Convolutional Neural Networks • [cs.CR]SafeComp: Protocol For Certifying Cloud Computations Integrity • [cs.CR]Secure and Differentially Private Bayesian Learning on Distributed Data • [cs.CV]A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans • [cs.CV]A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos • [cs.CV]A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images • [cs.CV]Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification • [cs.CV]Bi-direction Context Propagation Network for Real-time Semantic Segmentation • [cs.CV]Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting • [cs.CV]Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications • [cs.CV]Driver Identification through Stochastic Multi-State Car-Following Modeling • [cs.CV]Feature selection for gesture recognition in Internet-of-Things for healthcare • [cs.CV]Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification • [cs.CV]From ImageNet to Image Classification: Contextualizing Progress on Benchmarks • [cs.CV]Head2Head: Video-based Neural Head Synthesis • [cs.CV]Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning • [cs.CV]KL-Divergence-Based Region Proposal Network for Object Detection • [cs.CV]Polarimetric image augmentation • [cs.CV]Position-based Scaled Gradient for Model Quantization and Sparse Training • [cs.CV]RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting • [cs.CV]RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation • [cs.CV]SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition • [cs.CV]Spoof Face Detection Via Semi-Supervised Adversarial Training • [cs.CV]Style Normalization and Restitution for Generalizable Person Re-identification • [cs.CV]Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning • [cs.CV]Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks • [cs.CY]CovidNet: To Bring the Data Transparency in Era of COVID-19 • [cs.CY]Exploring cultural challenges to implementing Educational Technology in the higher education sector in India • [cs.CY]Modeling Stakeholder-centric Value Chain of Data to Understand Data Exchange Ecosystem • [cs.CY]Regulating Artificial Intelligence: Proposal for a Global Solution • [cs.CY]The Fallibility of Contact-Tracing Apps • [cs.DB]CAPre: Code-Analysis based Prefetching for Persistent Object Stores • [cs.DC]Autonomous Task Dropping Mechanism to Achieve Robustness in Heterogeneous Computing Systems • [cs.DC]Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication • [cs.DC]Reasonableness discussion and analysis for Hyperledger Fabric configuration • [cs.DL]Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language • [cs.DS]Target Location Problem for Multi-commodity Flow • [cs.GR]Point2Mesh: A Self-Prior for Deformable Meshes • [cs.HC]Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making • [cs.IR]COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification • [cs.IR]Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics • [cs.IR]L2R2: Leveraging Ranking for Abductive Reasoning • [cs.IR]Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time • [cs.IT]Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems • [cs.IT]Information-Theoretic Limits for the Matrix Tensor Product • [cs.IT]Large Kernel Polar Codes with efficient Window Decoding • [cs.IT]Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information • [cs.IT]Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks • [cs.LG]A Complex KBQA System using Multiple Reasoning Paths • [cs.LG]A Concise Review of Recent Few-shot Meta-learning Methods • [cs.LG]Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics • [cs.LG]An Introduction to Neural Architecture Search for Convolutional Networks • [cs.LG]CHEER: Rich Model Helps Poor Model via Knowledge Infusion • [cs.LG]Conditionally Deep Hybrid Neural Networks Across Edge and Cloud • [cs.LG]Discovering Frequent Gradual Itemsets with Imprecise Data • [cs.LG]Fast differentiable DNA and protein sequence optimization for molecular design • [cs.LG]Global Multiclass Classification from Heterogeneous Local Models • [cs.LG]Graph Random Neural Network • [cs.LG]Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking • [cs.LG]Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data • [cs.LG]Neural Bipartite Matching • [cs.LG]Online Non-convex Learning for River Pollution Source Identification • [cs.LG]PruneNet: Channel Pruning via Global Importance • [cs.LG]Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful • [cs.LG]Semi-supervised Medical Image Classification with Global Latent Mixing • [cs.NE]Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself • [cs.NE]Solving a steady-state PDE using spiking networks and neuromorphic hardware • [cs.NI]Machine Learning in the Internet of Things for Industry 4.0 • [cs.NI]Modeling and Optimization of Latency in Erasure-coded Storage Systems • [cs.RO]Abstractions for computing all robotic sensors that suffice to solve a planning problem • [cs.RO]Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot • [cs.RO]Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks • [cs.RO]Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning • [cs.RO]Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems • [cs.RO]Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach • [cs.RO]On the Potential of Smarter Multi-layer Maps • [cs.RO]Robotics Meets Cosmetic Dermatology: Development of a Novel Vision-Guided System for Skin Photo-Rejuvenation • [cs.RO]VDO-SLAM: A Visual Dynamic Object-aware SLAM System • [cs.SC]A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs • [cs.SI]A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances • [cs.SI]Automatic Detection of Influential Actors in Disinformation Networks • [cs.SI]Degree Heterogeneity in a Graph Facilitates Quicker Meeting of Random Walkers • [cs.SI]GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information • [cs.SI]On the Aggression Diffusion Modeling and Minimization in Online Social Networks • [eess.AS]NAUTILUS: a Versatile Voice C 59e3 loning System • [eess.IV]Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning • [eess.IV]Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography • [eess.IV]Misregistration Measurement and Improvement for Sentinel-1 SAR and Sentinel-2 Optical images • [eess.IV]SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation • [eess.SP]Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment • [eess.SP]Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution • [eess.SP]On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics • [eess.SY]An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors • [eess.SY]State-switching control of the second-order chained form system • [math.OC]Global Optimization of Gaussian processes • [math.PR]Reversals of Rényi Entropy Inequalities under Log-Concavity • [math.ST]A Consistent Estimator for Skewness of Partial Sums of Dependent Data • [math.ST]A distribution free test for changes in the trend function of locally stationary processes • [math.ST]Asymptotic accuracy of the saddlepoint approximation for maximum likelihood estimation • [math.ST]Polynomial traces and elementary symmetric functions in the latent roots of a non-central Wishart matrix • [math.ST]The Average-Case Time Complexity of Certifying the Restricted Isometry Property • [q-bio.PE]Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization • [q-bio.PE]The Impact of Response Measures on COVID-19-Related Hospitalization and Death Rates in Germany and Switzerland • [q-bio.QM]Tractometry-based Anomaly Detection for Single-subject White Matter Analysis • [quant-ph]On compression rate of quantum autoencoders: Control design, numerical and experimental realization • [stat.AP]QuIS: The Question of Intelligent Site Selection • [stat.AP]Scanner data in inflation measurement: from raw data to price indices • [stat.ME]Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of Links • [stat.ME]Navigated Weighting to Improve Inverse Probability Weighting for Missing Data Problems and Causal Inference • [stat.ME]Nonparametric inverse probability weighted estimators based on the highly adaptive lasso • [stat.ML]Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties • [stat.ML]Correlated Mixed Membership Modeling of Somatic Mutations • [stat.ML]Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments • [stat.ML]Model Evidence with Fast Tree Based Quadrature • [stat.ML]Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation ····································· • [cs.AI]A Group-Theoretic Framework for Knowledge Graph Embedding Tong Yang, Long Sha, Pengyu Hong http://arxiv.org/abs/2005.10956v1 • [cs.AI]DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models Yania Molina Souto, Rafael Pereira, Rocío Zorrilla, Anderson Chaves, Brian Tsan, Florin Rusu, Eduardo Ogasawara, Artur Ziviani, Fabio Porto http://arxiv.org/abs/2005.11093v1 • [cs.AI]Evaluating Generalisation in General Video Game Playing Martin Balla, Simon M. Lucas, Diego Perez-Liebana http://arxiv.org/abs/2005.11247v1 • [cs.AI]Givenness Hierarchy Theoretic Cognitive Status Filtering Poulomi Pal, Lixiao Zhu, Andrea Golden-Lasher, Akshay Swaminathan, Tom Williams http://arxiv.org/abs/2005.11267v1 • [cs.AI]Reinforcement learning with human advice. A survey Anis Najar, Mohamed Chetouani http://arxiv.org/abs/2005.11016v1 • [cs.AI]microPhantom: Playing microRTS under uncertainty and chaos Florian Richoux http://arxiv.org/abs/2005.11019v1 • [cs.CL]A Generative Approach to Titling and Clustering Wikipedia Sections Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah http://arxiv.org/abs/2005.11216v1 • [cs.CL]Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning Hanchu Zhang, Leonhard Hennig, Christoph Alt, Changjian Hu, Yao Meng, Chao Wang http://arxiv.org/abs/2005.11075v1 • [cs.CL]Character-level Transformer-based Neural Machine Translation Nikolay Banar, Walter Daelemans, Mike Kestemont http://arxiv.org/abs/2005.11239v1 • [cs.CL]Comparative Study of Machine Learning Models and BERT on SQuAD Devshree Patel, Param Raval, Ratnam Parikh, Yesha Shastri http://arxiv.org/abs/2005.11313v1 • [cs.CL]End-to-end Named Entity Recognition from English Speech Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah http://arxiv.org/abs/2005.11184v1 • [cs.CL]Evaluating Neural Morphological Taggers for Sanskrit Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig http://arxiv.org/abs/2005.10893v1 • [cs.CL]Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou http://arxiv.org/abs/2005.10899v1 • [cs.CL]Improving Segmentation for Technical Support Problems Kushal Chauhan, Abhirut Gupta http://arxiv.org/abs/2005.11055v1 • [cs.CL]Intent Mining from past conversations for Conversational Agent Ajay Chatterjee, Shubhashis Sengupta http://arxiv.org/abs/2005.11014v1 • [cs.CL]Investigating Label Bias in Beam Search for Open-ended Text Generation Liang Wang, Jinlong Liu, Jingming Liu http://arxiv.org/abs/2005.11009v1 • [cs.CL]Living Machines: A study of atypical animacy Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen, Kasra Hosseini, Ruth Ahnert, Jon Lawrence, Katherine McDonough, Giorgia Tolfo, Daniel CS Wilson, Barbara McGillivray http://arxiv.org/abs/2005.11140v1 • [cs.CL]Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection Danni Liu, Gerasimos Spanakis, Jan Niehues http://arxiv.org/abs/2005.11185v1 • [cs.CL]RUSSE’2020: Findings of the First Taxonomy Enrichment Task for the Russian language Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia Loukachevitch http://arxiv.org/abs/2005.11176v1 • [cs.CL]Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models Mengxi Wei, Yifan He, Qiong Zhang http://arxiv.org/abs/2005.11017v1 • [cs.CL]Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation Sneha Mehta, Bahareh Azarnoush, Boris Chen, Avneesh Saluja, Vinith Misra, Ballav Bihani, Ritwik Kumar http://arxiv.org/abs/2005.11197v1 • [cs.CL]T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing Diego Antognini, Claudiu Musat, Boi Faltings http://arxiv.org/abs/2005.11067v1 • [cs.CR]Premium Access to Convolutional Neural Networks Julien Bringer, Hervé Chabanne, Linda Guiga http://arxiv.org/abs/2005.11100v1 • [cs.CR]SafeComp: Protocol For Certifying Cloud Computations Integrity Evgeny Shishkin, Evgeny Kislitsyn http://arxiv.org/abs/2005.10786v2 • [cs.CR]Secure and Differentially Private Bayesian Learning on Distributed Data Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee http://arxiv.org/abs/2005.11007v1 • [cs.CV]A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen, Ha Q. Nguyen http://arxiv.org/abs/2005.10992v1 • [cs.CV]A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, David Diaz http://arxiv.org/abs/2005.11101v1 • [cs.CV]A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images Jia-Wei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang http://arxiv.org/abs/2005.10986v1 • [cs.CV]Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification Hongyu Li, Xiaogang Huang, Zhihui Fu, Xiaolin Li http://arxiv.org/abs/2005.11043v1 • [cs.CV]Bi-direction Context Propagation Network for Real-time Semantic Segmentation Shijie Hao, Yuan Zhou, Yanrong Guo http://arxiv.org/abs/2005.11034v1 • [cs.CV]Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting Quentin Paletta, Joan Lasenby http://arxiv.org/abs/2005.11246v1 • [cs.CV]Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications Charlie Kirkwood http://arxiv.org/abs/2005.11194v1 • [cs.CV]Driver Identification through Stochastic Multi-State Car-Following Modeling Donghao Xu, Zhezhang Ding, Chenfeng Tu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard http://arxiv.org/abs/2005.11077v1 • [cs.CV]Feature selection for gesture recognition in Internet-of-Things for healthcare Giulia Cisotto, Martina Capuzzo, Anna V. Guglielmi, Andrea Zanella http://arxiv.org/abs/2005.11031v1 • [cs.CV]Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang http://arxiv.org/abs/2005.10979v1 • [cs.CV]From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry http://arxiv.org/abs/2005.11295v1 • [cs.CV]Head2Head: Video-based Neural Head Synthesis Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou http://arxiv.org/abs/2005.10954v1 • [cs.CV]Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, Yong Man Ro http://arxiv.org/abs/2005.10987v1 • [cs.CV]KL-Divergence-Based Region Proposal Network for Object Detection Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak http://arxiv.org/abs/2005.11220v1 • [cs.CV]Polarimetric image augmentation Marc Blanchon, Olivier Morel, Fabrice Meriaudeau, Ralph Seulin, Désiré Sidibé http://arxiv.org/abs/2005.11044v1 • [cs.CV]Position-based Scaled Gradient for Model Quantization and Sparse Training Jangho Kim, KiYoon Yoo, Nojun Kwak http://arxiv.org/abs/2005.11035v1 • [cs.CV]RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez http://arxiv.org/abs/2005.10863v1 • [cs.CV]RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation Donggen Dai, Wangkit Wong, Zhuojun Chen http://arxiv.org/abs/2005.10984v1 • [cs.CV]SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang http://arxiv.org/abs/2005.10977v1 • [cs.CV]Spoof Face Detection Via Semi-Supervised Adversarial Training Chengwei Chen, Wang Yuan, Xuequan Lu, Lizhuang Ma http://arxiv.org/abs/2005.10999v1 • [cs.CV]Style Normalization and Restitution for Generalizable Person Re-identification Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang http://arxiv.org/abs/2005.11037v1 • [cs.CV]Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning Sourya Dipta Das, Soumil Mandal http://arxiv.org/abs/2005.10915v1 • [cs.CV]Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Hokuto Hirano, Kazuki Koga, Kazuhiro Takemoto http://arxiv.org/abs/2005.11061v1 • [cs.CY]CovidNet: To Bring the Data Transparency in Era of COVID-19 Tong Yang, Kai Shen, Sixuan He, Enyu Li, Peter Sun, Lin Zuo, Jiayue Hu, Yiwen Mo, Weiwei Zhang, Pingying Chen, Haonan Zhang, Jingxue Chen, Yu Guo http://arxiv.org/abs/2005.10948v1 • [cs.CY]Exploring cultural challenges to implementing Educational Technology in the higher education sector in India Parvathy Panicker http://arxiv.org/abs/2005.11020v1 • [cs.CY]Modeling Stakeholder-centric Value Chain of Data to Understand Data Exchange Ecosystem Teruaki Hayashi, Gensei Ishimura, Gensei Ishimura http://arxiv.org/abs/2005.11005v1 • [cs.CY]Regulating Artificial Intelligence: Proposal for a Global Solution Olivia J. Erdélyi, Judy Goldsmith http://arxiv.org/abs/2005.11072v1 • [cs.CY]The Fallibility of Contact-Tracing Apps Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara http://arxiv.org/abs/2005.11297v1 • [cs.DB]CAPre: Code-Analysis based Prefetching for Persistent Object Stores Rizkallah Touma, Anna Queralt, Toni Cortes http://arxiv.org/abs/2005.11259v1 • [cs.DC]Autonomous Task Dropping Mechanism to Achieve Robustness in Heterogeneous Computing Systems Ali Mokhtari, Chavit Denninnart, Mohsen Amini Salehi http://arxiv.org/abs/2005.11050v1 • [cs.DC]Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication Christian Göttel, Lars Nielsen, Niloofar Yazdani, Pascal Felber, Daniel E. Lucani, Valerio Schiavoni http://arxiv.org/abs/2005.11158v1 • [cs.DC]Reasonableness discussion and analysis for Hyperledger Fabric configuration Song Hua, Shenbin Zhang, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita, Yoshihide Nomura http://arxiv.org/abs/2005.11054v1 • [cs.DL]Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language Philipp Scharpf, Moritz Schubotz, Abdou Youssef, Felix Hamborg, Norman Meuschke, Bela Gipp http://arxiv.org/abs/2005.11021v1 • [cs.DS]Target Location Problem for Multi-commodity Flow Xingwu Liu, Zhida Pan, Yuyi Wang http://arxiv.org/abs/2005.11026v1 • [cs.GR]Point2Mesh: A Self-Prior for Deformable Meshes Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or http://arxiv.org/abs/2005.11084v1 • [cs.HC]Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making Harini Suresh, Natalie Lao, Ilaria Liccardi http://arxiv.org/abs/2005.10960v1 • [cs.IR]COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi, Yana Samuel http://arxiv.org/abs/2005.10898v1 • [cs.IR]Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Yana Samuel, Alexander Pelaez http://arxiv.org/abs/2005.10961v1 • [cs.IR]L2R2: Leveraging Ranking for Abductive Reasoning Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng http://arxiv.org/abs/2005.11223v1 • [cs.IR]Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time Benjamin E. Nye, Ani Nenkova, Iain J. Marshall, Byron C. Wallace http://arxiv.org/abs/2005.10865v1 • [cs.IT]Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems Shahedeh Sayyari, Sajad Daei, Farzan Haddadi http://arxiv.org/abs/2005.10882v1 • [cs.IT]Information-Theoretic Limits for the Matrix Tensor Product Galen Reeves http://arxiv.org/abs/2005.11273v1 • [cs.IT]Large Kernel Polar Codes with efficient Window Decoding Fariba Abbasi, Emanuele Viterbo http://arxiv.org/abs/2005.11102v1 • [cs.IT]Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi http://arxiv.org/abs/2005.10878v1 • [cs.IT]Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks Roohollah Amiri, Eren Balevi, Jeffrey G. Andrews, Hani Mehrpouyan http://arxiv.org/abs/2005.11289v1 • [cs.LG]A Complex KBQA System using Multiple Reasoning Paths Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam http://arxiv.org/abs/2005.10970v1 • [cs.LG]A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma http://arxiv.org/abs/2005.10953v1 • [cs.LG]Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cicero dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic http://arxiv.org/abs/2005.11248v1 • [cs.LG]An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides, Konstantinos Margaritis http://arxiv.org/abs/2005.11074v1 • [cs.LG]CHEER: Rich Model Helps Poor Model via Knowledge Infusion Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun http://arxiv.org/abs/2005.10918v1 • [cs.LG]Conditionally Deep Hybrid Neural Networks Across Edge and Cloud Yinghan Long, Indranil Chakraborty, Kaushik Roy http://arxiv.org/abs/2005.10851v1 • [cs.LG]Discovering Frequent Gradual Itemsets with Imprecise Data Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopze, Engelbert Mephu Nguifo http://arxiv.org/abs/2005.11045v1 • [cs.LG]Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder, Georg Seelig http://arxiv.org/abs/2005.11275v1 • [cs.LG]Global Multiclass Classification from Heterogeneous Local Models Surin Ahn, Ayfer Ozgur, Mert Pilanci http://arxiv.org/abs/2005.10848v1 • [cs.LG]Graph Random Neural Network Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang http://arxiv.org/abs/2005.11079v1 • [cs.LG]Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman http://arxiv.org/abs/2005.11081v1 • [cs.LG]Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook http://arxiv.org/abs/2005.10996v1 • [cs.LG]Neural Bipartite Matching Dobrik Georgiev, Pietro Lió http://arxiv.org/abs/2005.11304v1 • [cs.LG]Online Non-convex Learning for River Pollution Source Identification Wenjie Huang, Jing Jiang, Xiao Liu http://arxiv.org/abs/2005.11065v1 • [cs.LG]PruneNet: Channel Pruning via Global Importance Ashish Khetan, Zohar Karnin http://arxiv.org/abs/2005.11282v1 • [cs.LG]Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful Jingge Zhu http://arxiv.org/abs/2005.11018v1 • [cs.LG]Semi-supervised Medical Image Classification with Global Latent Mixing Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang http://arxiv.org/abs/2005.11217v1 • [cs.NE]Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna http://arxiv.org/abs/2005.11203v1 • [cs.NE]Solving a steady-state PDE using spiking networks and neuromorphic hardware J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh http://arxiv.org/abs/2005.10904v1 • [cs.NI]Machine Learning in the Internet of Things for Industry 4.0 Tomasz Szydlo, Joanna Sendorek, Robert Brzoza-Woch, Mateusz Windak http://arxiv.org/abs/2005.11146v1 • [cs.NI]Modeling and Optimization of Latency in Erasure-coded Storage Systems Vaneet Aggarwal, Tian Lan http://arxiv.org/abs/2005.10855v1 • [cs.RO]Abstractions for computing all robotic sensors that suffice to solve a planning problem Yulin Zhang, Dylan A. Shell http://arxiv.org/abs/2005.10994v1 • [cs.RO]Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals http://arxiv.org/abs/2005.11164v1 • [cs.RO]Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks Homanga Bharadhwaj, Animesh Garg, Florian Shkurti http://arxiv.org/abs/2005.10934v1 • [cs.RO]Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox http://arxiv.org/abs/2005.10872v1 • [cs.RO]Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems Tomislav Petković, Jakub Hvězda, Tomáš Rybecký, Ivan Marković, Miroslav Kulich, Libor Přeučil, Ivan Petrović http://arxiv.org/abs/2005.11202v1 • [cs.RO]Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach Peng Hang, Chen Lv, Yang Xing, Chao Huang, Zhongxu Hu http://arxiv.org/abs/2005.11064v1 • [cs.RO]On the Potential of Smarter Multi-layer Maps Francesco Verdoja, Ville Kyrki http://arxiv.org/abs/2005.11094v1 • [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/2005.10462v2 • [cs.RO]VDO-SLAM: A Visual Dynamic Object-aware SLAM System Jun Zhang, Mina Henein, Robert Mahony, Viorela Ila http://arxiv.org/abs/2005.11052v1 • [cs.SC]A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs Dorian Florescu, Matthew England http://arxiv.org/abs/2005.11251v1 • [cs.SI]A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang http://arxiv.org/abs/2005.11041v1 • [cs.SI]Automatic Detection of Influential Actors in Disinformation Networks Steven T. Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin http://arxiv.org/abs/2005.10879v1 • [cs.SI]Degree Heterogeneity in a Graph Facilitates Quicker Meeting of Random Walkers Yusuke Sakumoto, Hiroyuki Ohsaki http://arxiv.org/abs/2005.11161v1 • [cs.SI]GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information Umair Qazi, Muhammad Imran, Ferda Ofli http://arxiv.org/abs/2005.11177v1 • [cs.SI]On the Aggression Diffusion Modeling and Minimization in Online Social Networks Marinos Poiitis, Athena Vakali, Nicolas Kourtellis http://arxiv.org/abs/2005.10646v2 • [eess.AS]NAUTILUS: a Versatile Voice C 59e3 loning System Hieu-Thi Luong, Junichi Yamagishi http://arxiv.org/abs/2005.11004v1 • [eess.IV]Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati http://arxiv.org/abs/2005.10957v1 • [eess.IV]Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li http://arxiv.org/abs/2005.11098v1 • [eess.IV]Misregistration Measurement and Improvement for Sentinel-1 SAR and Sentinel-2 Optical images Yuanxin Ye, Chao Yang, Bai Zhu, Youquan He http://arxiv.org/abs/2005.11092v1 • [eess.IV]SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation Jieli Zhou, Baoyu Jing, Zeya Wang http://arxiv.org/abs/2005.11003v1 • [eess.SP]Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment SeonWoo Lee, YuHyeon Tak, HoJun Yang, JaeHeung Yang, GangMin Lim, KyuSung Kim, ByeongKeun Choi, JangWoo Kwon http://arxiv.org/abs/2005.10985v1 • [eess.SP]Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution Antonio Quintero-Rincón, Carlos D’Giano, Hadj Batatia http://arxiv.org/abs/2005.11242v1 • [eess.SP]On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics M. Kiani http://arxiv.org/abs/2005.11106v1 • [eess.SY]An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors Peng Hang, Chen Lv, Chao Huang, Jiacheng Cai, Zhongxu Hu, Yang Xing http://arxiv.org/abs/2005.11059v1 • [eess.SY]State-switching control of the second-order chained form system Masahide Ito http://arxiv.org/abs/2005.11114v1 • [math.OC]Global Optimization of Gaussian processes Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, 35a Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos http://arxiv.org/abs/2005.10902v1 • [math.PR]Reversals of Rényi Entropy Inequalities under Log-Concavity James Melbourne, Tomasz Tkocz http://arxiv.org/abs/2005.10930v1 • [math.ST]A Consistent Estimator for Skewness of Partial Sums of Dependent Data Masoud M Nasari, Mohamedou Ould-Haye http://arxiv.org/abs/2005.10973v1 • [math.ST]A distribution free test for changes in the trend function of locally stationary processes Holger Dette, Florian Heinrichs http://arxiv.org/abs/2005.11132v1 • [math.ST]Asymptotic accuracy of the saddlepoint approximation for maximum likelihood estimation Jesse Goodman http://arxiv.org/abs/2005.11028v1 • [math.ST]Polynomial traces and elementary symmetric functions in the latent roots of a non-central Wishart matrix E. Di Nardo http://arxiv.org/abs/2005.10993v1 • [math.ST]The Average-Case Time Complexity of Certifying the Restricted Isometry Property Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira http://arxiv.org/abs/2005.11270v1 • [q-bio.PE]Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar http://arxiv.org/abs/2005.11257v1 • [q-bio.PE]The Impact of Response Measures on COVID-19-Related Hospitalization and Death Rates in Germany and Switzerland Martin Huber, Henrika Langen http://arxiv.org/abs/2005.11278v1 • [q-bio.QM]Tractometry-based Anomaly Detection for Single-subject White Matter Analysis Maxime Chamberland, Sila Genc, Erika P. Raven, Greg D. Parker, Adam Cunningham, Joanne Doherty, Marianne van den Bree, Chantal M. W. Tax, Derek K. Jones http://arxiv.org/abs/2005.11082v1 • [quant-ph]On compression rate of quantum autoencoders: Control design, numerical and experimental realization Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Re-Bing Wu, Guo-Yong Xiang http://arxiv.org/abs/2005.11149v1 • [stat.AP]QuIS: The Question of Intelligent Site Selection Sebastian Baumbach, Florian Sachs, Sheraz Ahmed, Andreas Dengel http://arxiv.org/abs/2005.11168v1 • [stat.AP]Scanner data in inflation measurement: from raw data to price indices Jacek Białek, Maciej Beręsewicz http://arxiv.org/abs/2005.11233v1 • [stat.ME]Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of Links Martín Humberto Félix Medina http://arxiv.org/abs/2005.10892v1 • [stat.ME]Navigated Weighting to Improve Inverse Probability Weighting for Missing Data Problems and Causal Inference Hiroto Katsumata http://arxiv.org/abs/2005.10998v1 • [stat.ME]Nonparametric inverse probability weighted estimators based on the highly adaptive lasso Ashkan Ertefaie, Nima S. Hejazi, Mark J. van der Laan http://arxiv.org/abs/2005.11303v1 • [stat.ML]Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch http://arxiv.org/abs/2005.11110v1 • [stat.ML]Correlated Mixed Membership Modeling of Somatic Mutations Rahul Mehta, Muge Karaman http://arxiv.org/abs/2005.10919v1 • [stat.ML]Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments Ansgar Steland http://arxiv.org/abs/2005.11115v1 • [stat.ML]Model Evidence with Fast Tree Based Quadrature Thomas Foster, Chon Lok Lei, Martin Robinson, David Gavaghan, Ben Lambert http://arxiv.org/abs/2005.11300v1 • [stat.ML]Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation Kisung You http://arxiv.org/abs/2005.11107v1
若有收获，就点个赞吧
0 人点赞
