cs.AI - 人工智能
cs.CL - 计算与语言 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.DL - 数字图书馆 cs.GT - 计算机科学与博弈论 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.RO - 机器人学 cs.SD - 声音处理 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 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 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]Conflict-Based Search for Connected Multi-Agent Path Finding • [cs.AI]From Checking to Inference: Actual Causality Computations as Optimization Problems • [cs.CL]”To Target or Not to Target”: Identification and Analysis of Abusive Text Using Ensemble of Classifiers • [cs.CL]Aspect-based Sentiment Analysis of Scientific Reviews • [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access • [cs.CL]CoCon: A Self-Supervised Approach for Controlled Text Generation • [cs.CL]Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment • [cs.CL]ELITR Non-Native Speech Translation at IWSLT 2020 • [cs.CL]Evaluating Text Coherence at Sentence and Paragraph Levels • [cs.CL]Human or Machine: Automating Human Likeliness Evaluation of NLG Texts • [cs.CL]NewB: 200,000+ Sentences for Political Bias Detection • [cs.CL]SOLO: A Corpus of Tweets for Examining the State of Being Alone • [cs.CL]Sentiment Analysis Based on Deep Learning: A Comparative Study • [cs.CL]Spoken dialect identification in Twitter using a multi-filter architecture • [cs.CL]Understanding Self-Attention of Self-Supervised Audio Transformers • [cs.CL]Unsupervised Translation of Programming Languages • [cs.CV]A Meta-Bayesian Model of Intentional Visual Search • [cs.CV]Biometric Quality: Review and Application to Face Recognition with FaceQnet • [cs.CV]Black-box Explanation of Object Detectors via Saliency Maps • [cs.CV]Content and Context Features for Scene Image Representation • [cs.CV]Content-Aware Inter-Scale Cost Aggregation for Stereo Matching • [cs.CV]Egocentric Object Manipulation Graphs • [cs.CV]Explaining Autonomous Driving by Learning End-to-End Visual Attention • [cs.CV]FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications • [cs.CV]Learning Neural Light Transport • [cs.CV]MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction • [cs.CV]MSDU-net: A Multi-Scale Dilated U-net for Blur Detection • [cs.CV]Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020 • [cs.CV]Novel Object Viewpoint Estimation through Reconstruction Alignment • [cs.CV]Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection • [cs.CV]Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices • [cs.CV]SIDU: Similarity Difference and Uniqueness Method for Explainable AI • [cs.CV]Scene Image Representation by Foreground, Background and Hybrid Features • [cs.CV]Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks • [cs.CV]TCDesc: Learning Topology Consistent Descriptors • [cs.CV]Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End • [cs.CV]Unsupervised clustering of Roman pottery profiles from their SSAE representation • [cs.CV]VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments • [cs.CY]Artificial Intelligence-based Clinical Decision Support for COVID-19 — Where Art Thou? • [cs.CY]Certain characteristics of financial management strategies of people living in extreme poverty • [cs.CY]Digital Currency and Economic Crises: Helping States Respond • [cs.CY]Framework for an Integrated Learning Block with CDIO-led Engineering Education • [cs.CY]How individual behaviors drive inequality in online community sizes: an agent-based simulation • [cs.CY]The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia • [cs.CY]Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers • [cs.DC]Achieving High Throughput and Elasticity in a Larger-than-Memory Store • [cs.DC]Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training • [cs.DC]FaaSdom: A Benchmark Suite for Serverless Computing • [cs.DC]Portability of Scientific Workflows in NGS Data Analysis: A Case Study • [cs.DC]Synchronization by Asynchronous Mobile Robots with Limited Visibility • [cs.DC]Towards Privacy-aware Task Allocation in Social Sensing based Edge Computing Systems • [cs.DL]Quantifying the higher-order influence of scientific publications • [cs.GT]Sparsified Linear Programming for Zero-Sum Equilibrium Finding • [cs.IR]Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval • [cs.IR]Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network • [cs.IR]SEAL: Scientific Keyphrase Extraction and Classification • [cs.IR]Sentence Compression as Deletion with Contextual Embeddings • [cs.IR]Topic Detection from Conversational Dialogue Corpus with Parallel Dirichlet Allocation Model and Elbow Method • [cs.IR]Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning • [cs.IR]What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way • [cs.IT]Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions • [cs.LG]A Linear Algebraic Approach to Model Parallelism in Deep Learning • [cs.LG]A conditional one-output likelihood formulation for multitask Gaussian processes • [cs.LG]Adversarial Image Generation and Training for Deep Convolutional Neural Networks • [cs.LG]Anomaly detection on streamed data • [cs.LG]Classification Aware Neural Topic Model and its Applic 1000 ation on a New COVID-19 Disinformation Corpus • [cs.LG]Concurrent Decentralized Channel Allocation and Access Point Selection using Multi-Armed Bandits in multi BSS WLANs • [cs.LG]Continuous Transfer Learning with Label-informed Distribution Alignment • [cs.LG]Curiosity Killed the Cat and the Asymptotically Optimal Agent • [cs.LG]Discovering Parametric Activation Functions • [cs.LG]Embedding Directed Graphs in Potential Fields Using FastMap-D • [cs.LG]Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing • [cs.LG]GMAT: Global Memory Augmentation for Transformers • [cs.LG]Generation of Differentially Private Heterogeneous Electronic Health Records • [cs.LG]Graphon Neural Networks and the Transferability of Graph Neural Networks • [cs.LG]Hardness of Learning Neural Networks with Natural Weights • [cs.LG]Hierarchical Optimal Transport for Robust Multi-View Learning • [cs.LG]Inference from Stationary Time Sequences via Learned Factor Graphs • [cs.LG]Inject Machine Learning into Significance Test for Misspecified Linear Models • [cs.LG]Learning Multiclass Classifier Under Noisy Bandit Feedback • [cs.LG]Learning to Rank Learning Curves • [cs.LG]Logical Team Q-learning: An approach towards factored policies in cooperative MARL • [cs.LG]MLE-guided parameter search for task loss minimization in neural sequence modeling • [cs.LG]Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers • [cs.LG]PLANS: Robust Program Learning from Neurally Inferred Specifications • [cs.LG]Parallel ensemble methods for causal direction inference • [cs.LG]Population-Based Black-Box Optimization for Biological Sequence Design • [cs.LG]Providing reliability in Recommender Systems through Bernoulli Matrix Factorization • [cs.LG]Scalable Plug-and-Play ADMM with Convergence Guarantees • [cs.LG]Sponge Examples: Energy-Latency Attacks on Neural Networks • [cs.LG]Structure preserving deep learning • [cs.LG]Tensorized Transformer for Dynamical Systems Modeling • [cs.LG]Think out of the package: Recommending package types for e-commerce shipments • [cs.LG]Towards Understanding Fast Adversarial Training • [cs.LG]Triple descent and the two kinds of overfitting: Where & why do they appear? • [cs.LG]UVeQFed: Universal Vector Quantization for Federated Learning • [cs.LG]Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration • [cs.LG]XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks • [cs.NE]Brain-inspired global-local hybrid learning towards human-like intelligence • [cs.NE]Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions • [cs.NE]Runtime Analysis of a Heavy-Tailed $(1+(λ,λ))$ Genetic Algorithm on Jump Functions • [cs.NE]The Importance of Open-Endedness (for the Sake of Open-Endedness) • [cs.RO]A Soft Humanoid Hand with In-Finger Visual Perception • [cs.RO]An Ergodic Measure for Active Learning From Equilibrium • [cs.RO]GPHQP: Hierarchical Quadratic Programming for Controlling a Gaussian Process Regression Model of Redundant Robot • [cs.RO]MRFMap: Online Probabilistic 3D Mapping using Forward Ray Sensor Models • [cs.RO]Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control • [cs.RO]Online Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups • [cs.RO]Path Towards Multilevel Evolution of Robots • [cs.RO]TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space • [cs.SD]A New Method Towards Speech Files Local Features Investigation • [cs.SD]Audio Captioning using Gated Recurrent Units • [cs.SD]End-to-End Adversarial Text-to-Speech • [cs.SI]Adaptive Multi-Feature Budgeted Profit Maximization in Social Networks • [cs.SI]The Impact of COVID-19 on Flight Networks • [cs.SI]The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy • [eess.AS]AP20-OLR Challenge: Three Tasks and Their Baselines • [eess.AS]Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning • [eess.AS]Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning • [eess.IV]Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery • [eess.IV]Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels • [eess.IV]Structurally aware bidirectional unpaired image to image translation between CT and MR • [eess.SP]Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed? • [eess.SP]Fast CRDNN: Towards on Site Training of Mobile Construction Machines • [eess.SP]Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems • [math.ST]A Note on Online Change Point Detection • [math.ST]Adaptation to the Range in $K$-Armed Bandits • [math.ST]Learning rates for partially linear support vector machine in high dimensions • [math.ST]Reliable Covariance Estimation • [physics.soc-ph]Extracting Spatiotemporal Demand for Public Transit from Mobility Data • [physics.soc-ph]Extracting the multimodal fingerprint of urban transportation networks • [physics.soc-ph]Geometric detection of hierarchical backbones in real networks • [physics.soc-ph]Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter • [physics.soc-ph]Using an interpretable Machine Learning approach to study the drivers of International Migration • [q-bio.NC]Prediction with directed transitions: complex eigenstructure, grid cells and phase coding • [q-bio.PE]Simulating COVID-19 in a University Environment • [quant-ph]Semi-device-dependent blind quantum tomography • [stat.AP]COVID-19 Real-Time Tracker and Analytical Report • [stat.AP]Defining Estimands Using a Mix of Strategies to Handle Intercurrent Events in Clinical Trials • [stat.AP]Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt’s linear trend method • [stat.AP]Same-Score Streaks: A Case Study in Probability Modeling • [stat.AP]The identification of spatially constrained homogeneous clusters of Covid-19 transmission • [stat.ME]Analytic expressions for the Cumulative Distribution Function of the Composed Error Term in Stochastic Frontier Analysis with Truncated Normal and Exponential Inefficiencies • [stat.ME]Bayesian Sparse Covariance Structure Analysis for Correlated Count Data • [stat.ME]Can Two Forecasts Have the Same Conditional Expected Accuracy? • [stat.ME]Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes • [stat.ME]Graph matching beyond perfectly-overlapping Erdős—Rényi random graphs • [stat.ME]Identifiability and estimation under the test-negative design with population controls with the goal of identifying risk and preventive factors for SARS-CoV-2 infection • [stat.ME]Integrative Sparse Partial Least Squares • [stat.ME]Mean and Covariance Estimation for Functional Snippets • [stat.ME]The Full Bayesian Significance Test and the e-value — Foundations, theory and application in the cognitive sciences • [stat.ME]fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e-value • [stat.ML]Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures • [stat.ML]Hidden Markov models are recurrent neural networks: A disease progression modeling application • [stat.ML]Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks • [stat.ML]Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations • [stat.ML]The Expected Jacobian Outerproduct: Theory and Empirics • [stat.ML]Variational Auto-encoder for Recommender Systems with Exploration-Exploitation ····································· • [cs.AI]Conflict-Based Search for Connected Multi-Agent Path Finding Arthur Queffelec, Ocan Sankur, François Schwarzentruber http://arxiv.org/abs/2006.03280v1 • [cs.AI]From Checking to Inference: Actual Causality Computations as Optimization Problems Amjad Ibrahim, Alexander Pretschner http://arxiv.org/abs/2006.03363v1 • [cs.CL]“To Target or Not to Target”: Identification and Analysis of Abusive Text Using Ensemble of Classifiers Gaurav Verma, Niyati Chhaya, Vishwa Vinay http://arxiv.org/abs/2006.03256v1 • [cs.CL]Aspect-based Sentiment Analysis of Scientific Reviews Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee http://arxiv.org/abs/2006.03257v1 • [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Seokhwan Kim, Mihail Eric, Karthik Gopalakrishnan, Behnam Hedayatnia, Yang Liu, Dilek Hakkani-Tur http://arxiv.org/abs/2006.03533v1 • [cs.CL]CoCon: A Self-Supervised Approach for Controlled Text Generation Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu http://arxiv.org/abs/2006.03535v1 • [cs.CL]Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment Sharon Levy, William Yang Wang http://arxiv.org/abs/2006.03202v1 • [cs.CL]ELITR Non-Native Speech Translation at IWSLT 2020 Dominik Macháček, Jonáš Kratochvíl, Sangeet Sagar, Matúš Žilinec, Ondřej Bojar, Thai-Son Nguyen, Felix Schneider, Philip Williams, Yuekun Yao http://arxiv.org/abs/2006.03331v1 • [cs.CL]Evaluating Text Coherence at Sentence and Paragraph Levels Sennan Liu, Shuang Zeng, Sujian Li http://arxiv.org/abs/2006.03221v1 • [cs.CL]Human or Machine: Automating Human Likeliness Evaluation of NLG Texts Erion Çano, Ondřej Bojar http://arxiv.org/abs/2006.03189v1 • [cs.CL]NewB: 200,000+ Sentences for Political Bias Detection Jerry Wei http://arxiv.org/abs/2006.03051v1 • [cs.CL]SOLO: A Corpus of Tweets for Examining the State of Being Alone Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad http://arxiv.org/abs/2006.03096v1 • [cs.CL]Sentiment Analysis Based on Deep Learning: A Comparative Study Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta http://arxiv.org/abs/2006.03541v1 • [cs.CL]Spoken dialect identification in Twitter using a multi-filter architecture Mohammadreza Banaei, Rémi Lebret, Karl Aberer http://arxiv.org/abs/2006.03564v1 • [cs.CL]Understanding Self-Attention of Self-Supervised Audio Transformers Shu-wen Yang, Andy T. Liu, Hung-yi Lee http://arxiv.org/abs/2006.03265v1 • [cs.CL]Unsupervised Translation of Programming Languages Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, Guillaume Lample http://arxiv.org/abs/2006.03511v1 • [cs.CV]A Meta-Bayesian Model of Intentional Visual Search Maell Cullen, Jonathan Monney, M. Berk Mirza, Rosalyn Moran http://arxiv.org/abs/2006.03531v1 • [cs.CV]Biometric Quality: Review and Application to Face Recognition with FaceQnet Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, Laurent Beslay http://arxiv.org/abs/2006.03298v1 • [cs.CV]Black-box Explanation of Object Detectors via Saliency Maps Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko http://arxiv.org/abs/2006.03204v1 • [cs.CV]Content and Context Features for Scene Image Representation Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu http://arxiv.org/abs/2006.03217v1 • [cs.CV]Content-Aware Inter-Scale Cost Aggregation for Stereo Matching Chengtang Yao, Yunde Jia, Huijun Di, Yuwei Wu, Lidong Yu http://arxiv.org/abs/2006.03209v1 • [cs.CV]Egocentric Object Manipulation Graphs Eadom Dessalene, Michael Maynord, Chinmaya Devaraj, Cornelia Fermuller, Yiannis Aloimonos http://arxiv.org/abs/2006.03201v1 • [cs.CV]Explaining Autonomous Driving by Learning End-to-End Visual Attention Luca Cultrera, Lorenzo Seidenari, Federico Becattini, Pietro Pala, Alberto Del Bimbo http://arxiv.org/abs/2006.03347v1 • [cs.CV]FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen http://arxiv.org/abs/2006.03250v1 • [cs.CV]Learning Neural Light Transport Paul Sanzenbacher, Lars Mescheder, Andreas Geiger http://arxiv.org/abs/2006.03427v1 • [cs.CV]MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo http://arxiv.org/abs/2006.03340v1 • [cs.CV]MSDU-net: A Multi-Scale Dilated U-net for Blur Detection Fan Yang, Xiao Xiao http://arxiv.org/abs/2006.03182v1 • [cs.CV]Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020 Ke Lin, Zhuoxin Gan, Liwei Wang http://arxiv.org/abs/2006.03315v1 • [cs.CV]Novel Object Viewpoint Estimation through Reconstruction Alignment Mohamed El Banani, Jason J. Corso, David F. Fouhey http://arxiv.org/abs/2006.03586v1 • [cs.CV]Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras, Utpal Garain http://arxiv.org/abs/2006.03184v1 • [cs.CV]Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices Xin Cheng, Lei Zhang, Yin Tang, Yue Liu, Hao Wu, Jun He http://arxiv.org/abs/2006.03259v1 • [cs.CV]SIDU: Similarity Difference and Uniqueness Method for Explainable AI Satya M. Muddamsetty, Mohammad N. S. Jahromi, Thomas B. Moeslund http://arxiv.org/abs/2006.03122v1 • [cs.CV]Scene Image Representation by Foreground, Background and Hybrid Features Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu http://arxiv.org/abs/2006.03199v1 • [cs.CV]Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus Strobl, Rudolph Triebel http://arxiv.org/abs/2006.03486v1 • [cs.CV]TCDesc: Learning Topology Consistent Descriptors Honghu Pan, Fanyang Meng, Zhenyu He, Yongsheng Liang, Wei Liu http://arxiv.org/abs/2006.03254v1 • [cs.CV]Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson http://arxiv.org/abs/2006.03349v1 • [cs.CV]Unsupervised clustering of Roman pottery profiles from their SSAE representation Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb http://arxiv.org/abs/2006.03156v1 • [cs.CV]VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett, Peter Ondruska http://arxiv.org/abs/2006.03492v1 • [cs.CY]Artificial Intelligence-based Clinical Decision Support for COVID-19 — Where Art Thou? Mathias Unberath, Kimia Ghobadi, Scott Levin, Jeremiah Hinson, Gregory D Hager http://arxiv.org/abs/2006.03434v1 • [cs.CY]Certain characteristics of financial management strategies of people living in extreme poverty Balazs Bazsalya http://arxiv.org/abs/2006.03296v1 • [cs.CY]Digital Currency and Economic Crises: Helping States Respond Geoffrey Goodell, Hazem Danny Al-Nakib, Paolo Tasca http://arxiv.org/abs/2006.03023v2 • [cs.CY]Framework for an Integrated Learning Block with CDIO-led Engineering Education Mouhamed Abdulla, Meagan Troop, Amjed Majeed http://arxiv.org/abs/2006.03150v1 • [cs.CY]How individual behaviors drive inequality in online community sizes: an agent-based simulation Jeremy Foote, Nathan TeBlunthuis, Benjamin Mako Hill, Aaron Shaw http://arxiv.org/abs/2006.03119v1 • [cs.CY]The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia Nathan TeBlunthuis, Benjamin Mako Hill, Aaron Halfaker http://arxiv.org/abs/2006.03121v1 • [cs.CY]Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers Dilusha Weeraddana, Bin Liang, Zhidong Li, Yang Wang, Fang Chen, Livia Bonazzi, Dean Phillips, Nitin Saxena http://arxiv.org/abs/2006.03385v1 • [cs.DC]Achieving High Throughput and Elasticity in a Larger-than-Memory Store Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman http://arxiv.org/abs/2006.03206v1 • [cs.DC]Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training Hongyu Zhu, Amar Phanishayee, Gennady Pekhimenko http://arxiv.org/abs/2006.03318v1 • [cs.DC]FaaSdom: A Benchmark Suite for Serverless Computing Pascal Maissen, Pascal Felber, Peter Kropf, Valerio Schiavoni http://arxiv.org/abs/2006.03271v1 • [cs.DC]Portability of Scientific Workflows in NGS Data Analysis: A Case Study Christopher Schiefer, Marc Bux, Joergen Brandt, Clemens Messerschmidt, Knut Reinert, Dieter Beule, Ulf Leser http://arxiv.org/abs/2006.03104v1 • [cs.DC]Synchronization by Asynchronous Mobile Robots with Limited Visibility Paola Flocchini, Nicola Santoro, Masafumi Yamashita, Yukiko Yamauchi http://arxiv.org/abs/2006.03249v1 • [cs.DC]Towards Privacy-aware Task Allocation in Social Sensing based Edge Computing Systems Daniel Zhang, Yue Ma, X. Sharon Hu, Dong Wang http://arxiv.org/abs/2006.03178v1 • [cs.DL]Quantifying the higher-order influence of scientific publications Massimo Franceschet, Giovanni Colavizza http://arxiv.org/abs/2006.03561v1 • [cs.GT]Sparsified Linear Programming for Zero-Sum Equilibrium Finding Brian Hu Zhang, Tuomas Sandholm http://arxiv.org/abs/2006.03451v1 • [cs.IR]Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval Limin Chen, Zhiwen Tang, Grace Hui Yang http://arxiv.org/abs/2006.03185v1 • [cs.IR]Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network Sayantan Adak, Atharva Vyas, Animesh Mukherjee, Heer Ambavi, Pritam Kadasi, Mayank Singh, Shivam Patel http://arxiv.org/abs/2006.03316v1 • [cs.IR]SEAL: Scientific Keyphrase Extraction and Classification Ayush Garg, Sammed Shantinath Kagi, Mayank Singh http://arxiv.org/abs/2006.03292v1 • [cs.IR]Sentence Compression as Deletion with Contextual Embeddings Minh-Tien Nguyen, Bui Cong Minh, Dung Tien Le, Le Thai Linh http://arxiv.org/abs/2006.03210v1 • [cs.IR]Topic Detection from Conversational Dialogue Corpus with Parallel Dirichlet Allocation Model and Elbow Method Haider Khalid, Vincent Wade http://arxiv.org/abs/2006.03353v1 • [cs.IR]Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wen-Yun Yang http://arxiv.org/abs/2006.02282v3 • [cs.IR]What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way Erik Faessler, Michel Oleynik, Udo Hahn http://arxiv.org/abs/2006.02785v2 • [cs.IT]Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions Emil Björnson, Özgecan Özdogan, Erik G. Larsson http://arxiv.org/abs/2006.03377v1 • [cs.LG]A Linear Algebraic Approach to Model Parallelism in Deep Learning Russell J. Hewett, Thomas J. Grady II http://arxiv.org/abs/2006.03108v1 • [cs.LG]A conditional one-output likelihood formulation for multitask Gaussian processes Vanessa Gómez-Verdejo, Óscar García-Hinde, Manel Martínez-Ramón http://arxiv.org/abs/2006.03495v1 • [cs.LG]Adversarial Image Generation and Training for Deep Convolutional Neural Networks Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen http://arxiv.org/abs/2006.03243v1 • [cs.LG]Anomaly detection on streamed data Thomas Cochrane, Peter Foster, Terry Lyons, Imanol Perez Arribas http://arxiv.org/abs/2006.03487v1 • [cs.LG]Classification Aware Neural Topic Model and its Applic 1000 ation on a New COVID-19 Disinformation Corpus Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva http://arxiv.org/abs/2006.03354v1 • [cs.LG]Concurrent Decentralized Channel Allocation and Access Point Selection using Multi-Armed Bandits in multi BSS WLANs Álvaro López-Raventós, Boris Bellalta http://arxiv.org/abs/2006.03350v1 • [cs.LG]Continuous Transfer Learning with Label-informed Distribution Alignment Jun Wu, Jingrui He http://arxiv.org/abs/2006.03230v1 • [cs.LG]Curiosity Killed the Cat and the Asymptotically Optimal Agent Michael K. Cohen, Marcus Hutter http://arxiv.org/abs/2006.03357v1 • [cs.LG]Discovering Parametric Activation Functions Garrett Bingham, Risto Miikkulainen http://arxiv.org/abs/2006.03179v1 • [cs.LG]Embedding Directed Graphs in Potential Fields Using FastMap-D Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar http://arxiv.org/abs/2006.03112v1 • [cs.LG]Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le http://arxiv.org/abs/2006.03236v1 • [cs.LG]GMAT: Global Memory Augmentation for Transformers Ankit Gupta, Jonathan Berant http://arxiv.org/abs/2006.03274v1 • [cs.LG]Generation of Differentially Private Heterogeneous Electronic Health Records Kieran Chin-Cheong, Thomas Sutter, Julia E. Vogt http://arxiv.org/abs/2006.03423v1 • [cs.LG]Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro http://arxiv.org/abs/2006.03548v1 • [cs.LG]Hardness of Learning Neural Networks with Natural Weights Amit Daniely, Gal Vardi http://arxiv.org/abs/2006.03177v1 • [cs.LG]Hierarchical Optimal Transport for Robust Multi-View Learning Dixin Luo, Hongteng Xu, Lawrence Carin http://arxiv.org/abs/2006.03160v1 • [cs.LG]Inference from Stationary Time Sequences via Learned Factor Graphs Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith http://arxiv.org/abs/2006.03258v1 • [cs.LG]Inject Machine Learning into Significance Test for Misspecified Linear Models Jiaye Teng, Yang Yuan http://arxiv.org/abs/2006.03167v1 • [cs.LG]Learning Multiclass Classifier Under Noisy Bandit Feedback Mudit Agarwal, Naresh Manwani http://arxiv.org/abs/2006.03545v1 • [cs.LG]Learning to Rank Learning Curves Martin Wistuba, Tejaswini Pedapati http://arxiv.org/abs/2006.03361v1 • [cs.LG]Logical Team Q-learning: An approach towards factored policies in cooperative MARL Lucas Cassano, Ali H. Sayed http://arxiv.org/abs/2006.03553v1 • [cs.LG]MLE-guided parameter search for task loss minimization in neural sequence modeling Sean Welleck, Kyunghyun Cho http://arxiv.org/abs/2006.03158v1 • [cs.LG]Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamas Sarlos, David Belanger, Lucy Colwell, Adrian Weller http://arxiv.org/abs/2006.03555v1 • [cs.LG]PLANS: Robust Program Learning from Neurally Inferred Specifications Raphaël Dang-Nhu http://arxiv.org/abs/2006.03312v1 • [cs.LG]Parallel ensemble methods for causal direction inference Yulai Zhang, Jiachen Wang, Gang Cen, Guiming Luo http://arxiv.org/abs/2006.03231v1 • [cs.LG]Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley http://arxiv.org/abs/2006.03227v1 • [cs.LG]Providing reliability in Recommender Systems through Bernoulli Matrix Factorization Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla http://arxiv.org/abs/2006.03481v1 • [cs.LG]Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun, Zihui Wu, Brendt Wohlberg, Ulugbek S. Kamilov http://arxiv.org/abs/2006.03224v1 • [cs.LG]Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson http://arxiv.org/abs/2006.03463v1 • [cs.LG]Structure preserving deep learning Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry http://arxiv.org/abs/2006.03364v1 • [cs.LG]Tensorized Transformer for Dynamical Systems Modeling Anna Shalova, Ivan Oseledets http://arxiv.org/abs/2006.03445v1 • [cs.LG]Think out of the package: Recommending package types for e-commerce shipments Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji http://arxiv.org/abs/2006.03239v1 • [cs.LG]Towards Understanding Fast Adversarial Training Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin http://arxiv.org/abs/2006.03089v1 • [cs.LG]Triple descent and the two kinds of overfitting: Where & why do they appear? Stéphane d’Ascoli, Levent Sagun, Giulio Biroli http://arxiv.org/abs/2006.03509v1 • [cs.LG]UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui http://arxiv.org/abs/2006.03262v1 • [cs.LG]Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration Ming Zhang, Yawei Wang, Xiaoteng Ma, Li Xia, Jun Yang, Zhiheng Li, Xiu Li http://arxiv.org/abs/2006.03503v1 • [cs.LG]XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon http://arxiv.org/abs/2006.03589v1 • [cs.NE]Brain-inspired global-local hybrid learning towards human-like intelligence Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi http://arxiv.org/abs/2006.03226v1 • [cs.NE]Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions Jakob Bossek, Aneta Neumann, Frank Neumann http://arxiv.org/abs/2006.03260v1 • [cs.NE]Runtime Analysis of a Heavy-Tailed $(1+(λ,λ))$ Genetic Algorithm on Jump Functions Denis Antipov, Benjamin Doerr http://arxiv.org/abs/2006.03523v1 • [cs.NE]The Importance of Open-Endedness (for the Sake of Open-Endedness) Tim Taylor http://arxiv.org/abs/2006.03079v1 • [cs.RO]A Soft Humanoid Hand with In-Finger Visual Perception Felix Hundhausen, Julia Starke, Tamim Asfour http://arxiv.org/abs/2006.03537v1 • [cs.RO]An Ergodic Measure for Active Learning From Equilibrium Ian Abraham, Ahalya Prabhakar, Todd D. Murphey http://arxiv.org/abs/2006.03552v1 • [cs.RO]GPHQP: Hierarchical Quadratic Programming for Controlling a Gaussian Process Regression Model of Redundant Robot Francesco Cursi, Anh Nguyen, Guang-Zhong Yang http://arxiv.org/abs/2006.03159v1 • [cs.RO]MRFMap: Online Probabilistic 3D Mapping using Forward Ray Sensor Models Kumar Shaurya Shankar, Nathan Michael http://arxiv.org/abs/2006.03512v1 • [cs.RO]Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control Ian Abraham, Ankur Handa, Nathan Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox http://arxiv.org/abs/2006.03106v1 • [cs.RO]Online Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups Christoph Rösmann, Artemi Makarow, Torsten Bertram http://arxiv.org/abs/2006.03534v1 • [cs.RO]Path Towards Multilevel Evolution of Robots Shelvin Chand, David Howard http://arxiv.org/abs/2006.03266v1 • [cs.RO]TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space Jonas C. Kiemel, Pascal Meißner, Torsten Kröger http://arxiv.org/abs/2006.03497v1 • [cs.SD]A New Method Towards Speech Files Local Features Investigation Rustam Latypov, Evgeni Stolov http://arxiv.org/abs/2006.03388v1 • [cs.SD]Audio Captioning using Gated Recurrent Units Ayşegül Özkaya Eren, Mustafa Sert http://arxiv.org/abs/2006.03391v1 • [cs.SD]End-to-End Adversarial Text-to-Speech Jeff Donahue, Sander Dieleman, Mikołaj Bińkowski, Erich Elsen, Karen Simonyan http://arxiv.org/abs/2006.03575v1 • [cs.SI]Adaptive Multi-Feature Budgeted Profit Maximization in Social Networks Tiantian Chen, Jianxiong Guo, Weili Wu http://arxiv.org/abs/2006.03222v1 • [cs.SI]The Impact of COVID-19 on Flight Networks Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Alvarez Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla http://arxiv.org/abs/2006.02950v2 • [cs.SI]The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy Paolo Cintia, Daniele Fadda, Fosca Giannotti, Luca Pappalardo, Giulio Rossetti, Dino Pedreschi, Salvo Rinzivillo, Pietro Bonato, Francesco Fabbri, Francesco Penone, Marcello Savarese, Daniele Checchi, Francesca Chiaromonte, Paolo Vineis, Giorgio Guzzetta, Flavia Riccardo, Valentina Marziano, Piero Poletti, Filippo Trentini, Antonino Bella, Xanthi Andrianou, Martina Del Manso, Massimo Fabiani, Stefania Bellino, Stefano Boros, Alberto Mateo Urdiales, Maria Fenicia Vescio, Silvio Brusaferro, Giovanni Rezza, Patrizio Pezzotti, Marco Ajelli, Stefano Merler http://arxiv.org/abs/2006.03141v1 • [eess.AS]AP20-OLR Challenge: Three Tasks and Their Baselines Zheng Li, Miao Zhao, Qingyang Hong, Lin Li, Zhiyuan Tang, Dong Wang, Liming Song, Cheng Yang http://arxiv.org/abs/2006.03473v1 • [eess.AS]Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning Robert Müller, Fabian Ritz, Steffen Illium, Claudia Linnhoff-Popien http://arxiv.org/abs/2006.03429v1 • [eess.AS]Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning Haibin Wu, Andy T. Liu, Hung-yi Lee http://arxiv.org/abs/2006.03214v1 • [eess.IV]Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery Christina Corbane, Vasileios Syrris, Filip Sabo, Panagiotis Politis, Michele Melchiorri, Martino Pesaresi, Pierre Soille, Thomas Kemper http://arxiv.org/abs/2006.03267v1 • [eess.IV]Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens http://arxiv.org/abs/2006.03394v1 • [eess.IV]Structurally aware bidirectional unpaired image to image translation between CT and MR Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi http://arxiv.org/abs/2006.03374v1 • [eess.SP]Can the Multi-Incoming Smart Meter Compressed Streams be Re-Compressed? Sharif Abuadbba, Ayman Ibaida, Ibrahim Khalil, Naveen Chilamkurti, Surya Nepal, Xinghuo Yu http://arxiv.org/abs/2006.03208v1 • [eess.SP]Fast CRDNN: Towards on Site Training of Mobile Construction Machines Yusheng Xiang, Tian Tang, Tianqing Su, Christine Brach, Libo Liu, Samuel Mao, Marcus Geimer http://arxiv.org/abs/2006.03169v1 • [eess.SP]Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems Peihao Dong, Hua Zhang, Geoffrey Ye Li http://arxiv.org/abs/2006.03215v1 • [math.ST]A Note on Online Change Point Detection Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo http://arxiv.org/abs/2006.03283v1 • [math.ST]Adaptation to the Range in $K$-Armed Bandits Hédi Hadiji, Gilles Stoltz http://arxiv.org/abs/2006.03378v1 • [math.ST]Learning rates for partially linear support vector machine in high dimensions Yifan Xia, Yongchao Hou, Shaogao Lv http://arxiv.org/abs/2006.03288v1 • [math.ST]Reliable Covariance Estimation Ilya Soloveychik http://arxiv.org/abs/2006.03311v1 • [physics.soc-ph]Extracting Spatiotemporal Demand for Public Transit from Mobility Data Trivik Verma, Mikhail Sirenko, Itto Kornecki, Scott Cunningham, Nuno AM Araújo http://arxiv.org/abs/2006.03351v1 • [physics.soc-ph]Extracting the multimodal fingerprint of urban transportation networks Luis Natera, Federico Battiston, Gerardo Iñiguez, Michael Szell http://arxiv.org/abs/2006.03435v1 • [physics.soc-ph]Geometric detection of hierarchical backbones in real networks Elisenda Ortiz, Guillermo García-Pérez, M. Ángeles Serrano http://arxiv.org/abs/2006.03207v1 • [physics.soc-ph]Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Christopher M. Danforth, Peter Sheridan Dodds http://arxiv.org/abs/2006.03526v1 • [physics.soc-ph]Using an interpretable Machine Learning approach to study the drivers of International Migration Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier, Vinasetan Ratheil Houndji, Siegfried Nijssen, Pierre Schaus http://arxiv.org/abs/2006.03560v1 • [q-bio.NC]Prediction with directed transitions: complex eigenstructure, grid cells and phase coding Changmin Yu, Timothy E. J. Behrens, Neil Burgess http://arxiv.org/abs/2006.03355v1 • [q-bio.PE]Simulating COVID-19 in a University Environment Philip T. Gressman, Jennifer R. Peck http://arxiv.org/abs/2006.03175v1 • [quant-ph]Semi-device-dependent blind quantum tomography Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, Jens Eisert http://arxiv.org/abs/2006.03069v1 • [stat.AP]COVID-19 Real-Time Tracker and Analytical Report Jiawei Long http://arxiv.org/abs/2006.03146v1 • [stat.AP]Defining Estimands Using a Mix of Strategies to Handle Intercurrent Events in Clinical Trials Yongming Qu, Linda Shurzinske, Shanthi Sethuraman http://arxiv.org/abs/2006.03105v1 • [stat.AP]Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt’s linear trend method Malo Huard, Rémy Garnier, Gilles Stoltz http://arxiv.org/abs/2006.03373v1 • [stat.AP]Same-Score Streaks: A Case Study in Probability Modeling Peter Staab, Rick Cleary http://arxiv.org/abs/2006.03348v1 • [stat.AP]The identification of spatially constrained homogeneous clusters of Covid-19 transmission Roberto Benedetti, Federica Piersimoni, Giacomo Pignataro, Francesco Vidoli http://arxiv.org/abs/2006.03360v1 • [stat.ME]Analytic expressions for the Cumulative Distribution Function of the Composed Error Term in Stochastic Frontier Analysis with Truncated Normal and Exponential Inefficiencies Rouven Schmidt, Thomas Kneib http://arxiv.org/abs/2006.03459v1 • [stat.ME]Bayesian Sparse Covariance Structure Analysis for Correlated Count Data Sho Ichigozaki, Takahiro Kawashima, Hayaru Shouno http://arxiv.org/abs/2006.03241v1 • [stat.ME]Can Two Forecasts Have the Same Conditional Expected Accuracy? Yinchu Zhu, Allan Timmermann http://arxiv.org/abs/2006.03238v1 • [stat.ME]Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes Daren Wang, Yi Yu, Rebecca Willett http://arxiv.org/abs/2006.03572v1 • [stat.ME]Graph matching beyond perfectly-overlapping Erdős—Rényi random graphs Yaofang Hu, Wanjie Wang, Yi Yu http://arxiv.org/abs/2006.03284v1 • [stat.ME]Identifiability and estimation under the test-negative design with population controls with the goal of identifying risk and preventive factors for SARS-CoV-2 infection Mireille E. Schnitzer, Daphna Harel, Vikki Ho, Anita Koushik, Joanna Merckx http://arxiv.org/abs/2006.03140v1 • [stat.ME]Integrative Sparse Partial Least Squares Weijuan Liang, Shuangge Ma, Qingzhao Zhang, Tingyu Zhu http://arxiv.org/abs/2006.03246v1 • [stat.ME]Mean and Covariance Estimation for Functional Snippets Zhenhua Lin, Jane-Ling Wang http://arxiv.org/abs/2006.03211v1 • [stat.ME]The Full Bayesian Significance Test and the e-value — Foundations, theory and application in the cognitive sciences Riko Kelter, Julio Michael Stern http://arxiv.org/abs/2006.03334v1 • [stat.ME]fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e-value Riko Kelter http://arxiv.org/abs/2006.03332v1 • [stat.ML]Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures Anton Mallasto, Augusto Gerolin, Hà Quang Minh http://arxiv.org/abs/2006.03416v1 • [stat.ML]Hidden Markov models are recurrent neural networks: A disease progression modeling application Matt Baucum, Anahita Khojandi, Theodore Papamarkou http://arxiv.org/abs/2006.03151v1 • [stat.ML]Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov, Viktor Yanush, Boris Flach http://arxiv.org/abs/2006.03143v1 • [stat.ML]Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik http://arxiv.org/abs/2006.03333v1 • [stat.ML]The Expected Jacobian Outerproduct: Theory and Empirics Shubhendu Trivedi, J. Wang http://arxiv.org/abs/2006.03550v1 • [stat.ML]Variational Auto-encoder for Recommender Systems with Exploration-Exploitation Yizi Zhang, Hongxia Yang, Meimei Liu http://arxiv.org/abs/2006.03573v1
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