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.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.LO - 计算逻辑 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.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.soc-ph - 物理学与社会 q-fin.GN - 通用财务 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]Degree-Aware Alignment for Entities in Tail • [cs.AI]Non-Destructive Sample Generation From Conditional Belief Functions • [cs.AI]On Irrelevance of Attributes in Flexible Prediction • [cs.AI]Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic • [cs.CL]A Novel Distributed Representation of News (DRNews) for Stock Market Predictions • [cs.CL]A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation • [cs.CL]A review of sentiment analysis research in Arabic language • [cs.CL]AMR quality rating with a lightweight CNN • [cs.CL]Adapting End-to-End Speech Recognition for Readable Subtitles • [cs.CL]Adversarial NLI for Factual Correctness in Text Summarisation Models • [cs.CL]An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering • [cs.CL]Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers • [cs.CL]Deep Learning Models for Automatic Summarization • [cs.CL]Demoting Racial Bias in Hate Speech Detection • [cs.CL]From Witch’s Shot to Music Making Bones — Resources for Medical Laymen to Technical Language and Vice Versa • [cs.CL]GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning • [cs.CL]Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour • [cs.CL]How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning • [cs.CL]Integrated Node Encoder for Labelled Textual Networks • [cs.CL]Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding • [cs.CL]KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation • [cs.CL]Knowledge Graph Simple Question Answering for Unseen Domains • [cs.CL]Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding • [cs.CL]MASK: A flexible framework to facilitate de-identification of clinical texts • [cs.CL]NILE : Natural Language Inference with Faithful Natural Language Explanations • [cs.CL]ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020 • [cs.CL]Pointwise Paraphrase Appraisal is Potentially Problematic • [cs.CL]Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks • [cs.CL]SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding • [cs.CL]Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text • [cs.CL]Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer • [cs.CL]Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model • [cs.CL]The Discussion Tracker Corpus of Collaborative Argumentation • [cs.CL]Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation • [cs.CL]Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge • [cs.CL]Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media • [cs.CL]When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications • [cs.CR]A First Step Towards Content Protecting Plagiarism Detection • [cs.CR]Continuous Release of Data Streams under both Centralized and Local Differential Privacy • [cs.CR]PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing • [cs.CR]Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective • [cs.CR]SoK: Arms Race in Adversarial Malware Detection • [cs.CR]Successive Refinement of Privacy • [cs.CV]A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition • [cs.CV]AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction • [cs.CV]Adaptive Adversarial Logits Pairing • [cs.CV]AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation • [cs.CV]Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare & analyze K-Nearest Neighbours and Deep CNNs • [cs.CV]Attention-guided Context Feature Pyramid Network for Object Detection • [cs.CV]Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques • [cs.CV]Benefits of temporal information for appearance-based gaze estimation • [cs.CV]Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation • [cs.CV]Deep learning approach to describe and classify fungi microscopic images • [cs.CV]Delving into the Imbalance of Positive Proposals in Two-stage Object Detection • [cs.CV]Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging • [cs.CV]Egocentric Human Segmentation for Mixed Reality • [cs.CV]Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors • [cs.CV]Hashing-based Non-Maximum Suppression for Crowded Object Detection • [cs.CV]Hierarchical Feature Embedding for Attribute Recognition • [cs.CV]High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling • [cs.CV]Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting • [cs.CV]Invariant 3D Shape Recognition using Predictive Modular Neural Networks • [cs.CV]Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving • [cs.CV]Learning to Simulate Dynamic Environments with GameGAN • [cs.CV]Master-Auxiliary: an efficient aggregation strategy for video anomaly detection • [cs.CV]Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition • [cs.CV]Networks with pixels embedding: a method to improve noise resistance in images classification • [cs.CV]Neural Topological SLAM for Visual Navigation • [cs.CV]One of these (Few) Things is Not Like the Others • [cs.CV]One-Shot Unsupervised Cross-Domain Detection • [cs.CV]ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours • [cs.CV]RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images • [cs.CV]Recognizing Families through Images with Pretrained Encoder • [cs.CV]Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method • [cs.CV]Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation • [cs.CV]Robust Object Detection under Occlusion with \Context-Aware CompositionalNets • [cs.CV]S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation • [cs.CV]Self-Training for Domain Adaptive Scene Text Detection • [cs.CV]Self-supervised Robust Object Detectors from Partially Labelled datasets • [cs.CV]ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds • [cs.CV]Underwater object detection using Invert Multi-Class Adaboost with deep learning • [cs.CV]Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE • [cs.CV]Visual Attention: Deep Rare Features • [cs.CV]Visual Localization Using Semantic Segmentation and Depth Prediction • [cs.CY]A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones • [cs.CY]Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing • [cs.CY]COVID-19 Contact Tracing: Eight Privacy Questions Explored • [cs.CY]Data as Infrastructure for Smart Cities: Linking Data Platforms to Business Strategies • [cs.CY]Embedding Culture and Grit in the Technology Acceptance Model (TAM) for Higher Education • [cs.CY]Evolution of Cooperative Hunting in Artificial Multi-layered Societies • [cs.CY]Experimental, ad hoc, online, inter-university student e-contest during the pandemic: Lessons learned • [cs.CY]The Fallibility of Contact-Tracing Apps • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID 2019: A detailed review • [cs.DB]CAPre: Code-Analysis based Prefetching for Persistent Object Stores • [cs.DC]Benchmarking and Performance Modelling of MapReduce Communication Pattern • [cs.DC]Mechanisms for Outsourcing Computation via a Decentralized Market • [cs.DC]No Reservations: A First Look at Amazon’s Reserved Instance Marketplace • [cs.DC]Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions • [cs.DC]Profiling Resource Utilization of Bioinformatics Workflows • [cs.DC]TeaMPI — Replication-based Resilience without the (Performance) Pain • [cs.DC]Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning • [cs.DS]DartMinHash: Fast Sketching for Weighted Sets • [cs.GT]Walrasian Equilibria in Markets with Small Demands • [cs.HC]Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps • [cs.HC]Eye Gaze Controlled Robotic Arm for Persons with SSMI • [cs.HC]PhyAAt: Physiology of Auditory Attention to Speech Dataset • [cs.HC]Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation • [cs.IR]ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation • [cs.IR]AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization • [cs.IR]COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining • [cs.IR]Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank • [cs.IR]How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements • [cs.IR]Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach • [cs.IR]Joint Training Capsule Network for Cold Start Recommendation • [cs.IR]Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation • [cs.IR]MPSUM: Entity Summarization with Predicate-based Matching • [cs.IR]Open-Retrieval Conversational Question Answering • [cs.IR]Query Resolution for Conversational Search with Limited Supervision • [cs.IR]Summarizing and Exploring Tabular Data in Conversational Search • [cs.IT]A Note on Self-Dual Generalized Reed-Solomon Codes • [cs.IT]Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines • [cs.IT]Fast Beam Training for IRS-Assisted Multiuser Communications • [cs.IT]Fluid Antenna Systems • [cs.IT]Non-Binary Constrained Codes for Two-Dimensional Magnetic Recording • [cs.IT]The Isometry-Dual Property in Flags of Two-Point Algebraic Geometry Codes • [cs.IT]Update Bandwidth for Distributed Storage • [cs.LG]A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping • [cs.LG]A Novel Confidence-Based Algorithm for Structured Bandits • [cs.LG]A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data • [cs.LG]Active Learning for Skewed Data Sets • [cs.LG]Adversarial Attack on Hierarchical Graph Pooling Neural Networks • [cs.LG]Adversarial Feature Selection against Evasion Attacks • [cs.LG]Approximation in shift-invariant spaces with deep ReLU neural networks • [cs.LG]Attention-based Neural Bag-of-Features Learning for Sequence Data • [cs.LG]Automatic Discovery of Interpretable Planning Strategies • [cs.LG]Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study • [cs.LG]Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates • [cs.LG]Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks • [cs.LG]Deep Tensor CCA for Multi-view Learning • [cs.LG]Discriminative Active Learning for Domain Adaptation • [cs.LG]Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning • [cs.LG]Efficient Intervention Design for Causal Discovery with Latents • [cs.LG]FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data • [cs.LG]Fractional moment-preserving initialization schemes for training fully-connected neural networks • [cs.LG]Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis • [cs.LG]Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce • [cs.LG]Gradient Monitored Reinforcement Learning • [cs.LG]Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization • [cs.LG]Instability, Computational Efficiency and Statistical Accuracy • [cs.LG]Joint learning of interpretation and distillation • [cs.LG]Learnability of Timescale Graphical Event Models • [cs.LG]MANGO: A Python Library for Parallel Hyperparameter Tuning • [cs.LG]Multi-view Alignment and Generation in CCA via Consistent Latent Encoding • [cs.LG]NENET: An Edge Learnable Network for Link Prediction in Scene Text • [cs.LG]Policy Entropy for Out-of-Distribution Classification • [cs.LG]Privacy-Preserving Graph Neural Network for Node Classification • [cs.LG]Proper Learning, Helly Number, and an Optimal SVM Bound • [cs.LG]Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data • [cs.LG]Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting • [cs.LG]Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search • [cs.LG]Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values • [cs.LG]TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations • [cs.LG]The price for fairness in a regression framework • [cs.LG]Thermodynamics-based Artificial Neural Networks for constitutive modeling • [cs.LO]Formal Methods with a Touch of Magic • [cs.NE]Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks • [cs.NE]Geometric algorithms for predicting resilience and recovering damage in neural networks • [cs.NE]Physics-based polynomial neural networks for one-short learning of dynamical systems from one or a few samples • [cs.NI]Learning to Charge RF-Energy Harvesting Devices in WiFi Networks • [cs.NI]WiFiTrace: Network-based Contact Tracing for Infectious DiseasesUsing Passive WiFi Sensing • [cs.RO]An intent-based approach for creating assistive robots’ control systems • [cs.RO]Ascento: A Two-Wheeled Jumping Robot • [cs.RO]Combinatorics of a Discrete Trajectory Space for Robot Motion Planning • [cs.RO]Evaluation of Non-Collocated Force Feedback Driven by Signal-Independent Noise • [cs.RO]Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks • [cs.RO]LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot with Kinematic Loops • [cs.RO]Learning Camera Miscalibration Detection • [cs.RO]Learning visual servo policies via planner cloning • [cs.RO]LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision • [cs.RO]Monitoring and Diagnosability of Perception Systems • [cs.RO]Vision-based control of a knuckle boom crane with online cable length estimation • [cs.SD]End-to-End Auditory Object Recognition via Inception Nucleus • [cs.SD]Speaker and Posture Classification using Instantaneous Intraspeech Breathing Features • [cs.SE]Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations • [cs.SE]Req2Lib: A Semantic Neural Model for Software Library Recommendation • [cs.SI]A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances • [cs.SI]An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay • [cs.SI]Temporal Network Motifs: Models, Limitations, Evaluation • [cs.SI]Token-curated registry (TCR) in a scholarly journal: blockchain meets invisible colleges • [cs.SI]User behavior and token adoption on ERC20 • [econ.EM]An alternative to synthetic control for models with many covariates under sparsity • [eess.AS]Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection • [eess.AS]An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling • [eess.AS]Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques • [eess.AS]Identify Speakers in Cocktail Parties with End-to-End Attention • [eess.AS]Lite Audio-Visual Speech Enhancement • [eess.AS]Microphone Array Based Surveillance Audio Classification • [eess.AS]SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning • [eess.AS]Speaker diarization with session-level speaker embedding refinement using graph neural networks • [eess.IV]A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection • [eess.IV]A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images • [eess.IV]An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics • [eess.IV]Bayesian Conditional GAN for MRI Brain Image Synthesis • [eess.IV]Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI • [eess.IV]Hyperspectral Image Classification with Attention Aided CNNs • [eess.IV]JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans • [eess.IV]Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification • [eess.IV]MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones • [eess.IV]Misalignment Resilient Diffractive Optical Networks • [eess.IV]Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning • [eess.IV]The efficiency of deep learning algorithms for detecting anatomical reference points on radiological images of the head profile • [eess.IV]mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography • [eess.SP]How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey • [eess.SP]Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks • [eess.SP]Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications • [eess.SP]Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS • [eess.SP]SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays • [eess.SP]Triplet-Based Wireless Channel Charting • [eess.SY]Emission-aware Energy Storage Scheduling for a Greener Grid • [eess.SY]How Training Data Impacts Performance in Learning-based Control • [math.NA]An efficient iterative method for reconstructing surface from point clouds • [math.OC]Controllability of Uniform Hypergraphs • [math.OC]Derivation of Symmetric PCA Learning Rules from a Novel Objective Function • [math.OC]Knee Point Identification Based on Trade-Off Utility • [math.OC]Model-free Reinforcement Learning for Stochastic Stackelberg Security Games • [math.OC]Multivariate Convex Regression at Scale • [math.PR]How linear reinforcement affects Donsker’s Theorem for empirical processes • [math.PR]Sharp variance-entropy comparison for nonnegative gaussian quadratic forms • [math.ST]Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation • [math.ST]Cumulant methods in the estimation of response functions in time-invariant linear systems • [math.ST]Estimation of cluster functionals for regularly varying time series: sliding blocks estimators • [math.ST]Mixing properties of Skellam-GARCH processes • [math.ST]Optimal singular value shrinkage for operator norm loss • [math.ST]Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear Models • [math.ST]The Optimal ‘AND’ • [math.ST]The information-geometric perspective of Compositional Data Analysis • [physics.ao-ph]Climbing down Charney’s ladder: Machine Learning and the post-Dennard era of computational climate science • [physics.soc-ph]Spatiotemporal Network Evolution of Anthropogenic Night Light 1992-2015 • [q-fin.GN]Green production as a factor of survival for innovative startups. Evidence from Italy • [stat.AP]A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification • [stat.AP]Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model • [stat.AP]Pixelate to communicate: visualising uncertainty in maps of disease risk and other spatial continua • [stat.AP]Statistical Analysis of Data Repeatability Measures • [stat.ME]A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression • [stat.ME]An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions • [stat.ME]Bayesian Integrative Analysis and Prediction with Application to Atherosclerosis Cardiovascular Disease • [stat.ME]Bayesian Multiresolution Modeling Of Georeferenced Data • [stat.ME]Bayesian non-asymptotic extreme value models for environmental data • [stat.ME]Empirical Likelihood Inference With Public-Use Survey Data • [stat.ME]Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure • [stat.ME]Flexible Two-point Selection Approach for Characteristic Function-based Parameter Estimation of Stable Laws • [stat.ME]Fused graphical lasso for brain networks with symmetries • [stat.ME]Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders • [stat.ME]Most Likely Optimal Subsampled Markov Chain Monte Carlo • [stat.ME]Reducing Variance with Sample Allocation Based on Expected Response Rates • [stat.ME]Spatially varying causal effect models • [stat.ME]Supervised Convex Clustering • [stat.ML]Causal Bayesian Optimization • [stat.ML]Factor Analysis of Mixed Data for Anomaly Detection • [stat.ML]Feature Robust Optimal Transport for High-dimensional Data • [stat.ML]Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data • [stat.ML]Longitudinal Deep Kernel Gaussian Process Regression • [stat.ML]Reactive Sample Size for Heuristic Search in Simulation-based Optimization • [stat.ML]Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks • [stat.ML]The effect of measurement error on clustering algorithms • [stat.ML]Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks • [stat.ML]mvlearn: Multiview Machine Learning in Python ····································· • [cs.AI]Degree-Aware Alignment for Entities in Tail Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan http://arxiv.org/abs/2005.12132v1 • [cs.AI]Non-Destructive Sample Generation From Conditional Belief Functions Mieczysław A. Kłopotek http://arxiv.org/abs/2005.11963v1 • [cs.AI]On Irrelevance of Attributes in Flexible Prediction Mieczyslaw A. Klopotek, Andrzej Matuszewski http://arxiv.org/abs/2005.11979v1 • [cs.AI]Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer http://arxiv.org/abs/2005.11895v1 • [cs.CL]A Novel Distributed Representation of News (DRNews) for Stock Market Predictions Ye Ma, Lu Zong, Peiwan Wang http://arxiv.org/abs/2005.11706v1 • [cs.CL]A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation Xiuyu Wu, Nan Jiang, Yunfang Wu http://arxiv.org/abs/2005.11665v1 • [cs.CL]A review of sentiment analysis research in Arabic language Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli http://arxiv.org/abs/2005.12240v1 • [cs.CL]AMR quality rating with a lightweight CNN Juri Opitz http://arxiv.org/abs/2005.12187v1 • [cs.CL]Adapting End-to-End Speech Recognition for Readable Subtitles Danni Liu, Jan Niehues, Gerasimos Spanakis http://arxiv.org/abs/2005.12143v1 • [cs.CL]Adversarial NLI for Factual Correctness in Text Summarisation Models Mario Barrantes, Benedikt Herudek, Richard Wang http://arxiv.org/abs/2005.11739v1 • [cs.CL]An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering Chia-Chih Kuo, Shang-Bao Luo, Kuan-Yu Chen http://arxiv.org/abs/2005.12142v1 • [cs.CL]Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, Goran Glavaš http://arxiv.org/abs/2005.11787v1 • [cs.CL]Deep Learning Models for Automatic Summarization Pirmin Lemberger http://arxiv.org/abs/2005.11988v1 • [cs.CL]Demoting Racial Bias in Hate Speech Detection Mengzhou Xia, Anjalie Field, Yulia Tsvetkov http://arxiv.org/abs/2005.12246v1 • [cs.CL]From Witch’s Shot to Music Making Bones — Resources for Medical Laymen to Technical Language and Vice Versa Laura Seiffe, Oliver Marten, Michael Mikhailov, Sven Schmeier, Sebastian Möller, Roland Roller http://arxiv.org/abs/2005.11494v1 • [cs.CL]GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning Jianfeng Liu, Feiyang Pan, Ling Luo http://arxiv.org/abs/2005.11729v1 • [cs.CL]Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour Sandeep Mathias, Rudra Murthy, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya http://arxiv.org/abs/2005.12078v1 • [cs.CL]How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning Aviad Elyashar, Rami Puzis, Michael Fire http://arxiv.org/abs/2005.11838v1 • [cs.CL]Integrated Node Encoder for Labelled Textual Networks Ye Ma, Lu Zong http://arxiv.org/abs/2005.11694v1 • [cs.CL]Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding Chen Liu, Su Zhu, Zijian Zhao, Ruisheng Cao, Lu Chen, Kai Yu http://arxiv.org/abs/2005.11640v1 • [cs.CL]KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation Jiajing Wan, Xinting Huang http://arxiv.org/abs/2005.11768v1 • [cs.CL]Knowledge Graph Simple Question Answering for Unseen Domains Georgios Sidiropoulos, Nikos Voskarides, Evangelos Kanoulas http://arxiv.org/abs/2005.12040v1 • [cs.CL]Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre http://arxiv.org/abs/2005.12094v1 • [cs.CL]MASK: A flexible framework to facilitate de-identification of clinical texts Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin, Mahmoud Azimaee, Goran Nenadic http://arxiv.org/abs/2005.11687v1 • [cs.CL]NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar, Partha Talukdar http://arxiv.org/abs/2005.12116v1 • [cs.CL]ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020 Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia Tomashenko, Antoine Caubrière, Benjamin Lecouteux, Yannick Estève, Laurent Besacier http://arxiv.org/abs/2005.11861v1 • [cs.CL]Pointwise Paraphrase Appraisal is Potentially Problematic Hannah Chen, Yangfeng Ji, David Evans http://arxiv.org/abs/2005.11996v1 • [cs.CL]Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela http://arxiv.org/abs/2005.11401v1 • [cs.CL]SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding Li Zhang, Han Wang, Lingxiao Li http://arxiv.org/abs/2005.11347v1 • [cs.CL]Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text Saif M. Mohammad http://arxiv.org/abs/2005.11882v1 • [cs.CL]Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer Joosung Lee http://arxiv.org/abs/2005.12086v1 • [cs.CL]Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model Satoru Katsumata, Mamoru Komachi http://arxiv.org/abs/2005.11849v1 • [cs.CL]The Discussion Tracker Corpus of Collaborative Argumentation Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane Litman, Amanda Godley http://arxiv.org/abs/2005.11344v1 • [cs.CL]Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation Aakanksha Naik, Carolyn Rosé http://arxiv.org/abs/2005.11355v1 • [cs.CL]Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge Andros Tjandra, Sakriani Sakti, Satoshi Nakamura http://arxiv.org/abs/2005.11676v1 • [cs.CL]Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media Xiangjue Dong, Changmao Li, Jinho D. Choi http://arxiv.org/abs/2005.11424v1 • [cs.CL]When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang http://arxiv.org/abs/2005.11700v1 • [cs.CR]A First Step Towards Content Protecting Plagiarism Detection Cornelius Ihle, Moritz Schubotz, Norman Meuschke, Bela Gipp http://arxiv.org/abs/2005.11504v1 • [cs.CR]Continuous Release of Data Streams under both Centralized and Local Differential Privacy Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha http://arxiv.org/abs/2005.11753v1 • [cs.CR]PoliteCamera: Respecting Strangers’ Privacy in Mobile Photographing Ang Li, Wei Du, Qinghua Li http://arxiv.org/abs/2005.11634v1 • [cs.CR]Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective Hongxin Wei, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge http://arxiv.org/abs/2005.11778v1 • [cs.CR]SoK: Arms Race in Adversarial Malware Detection Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu http://arxiv.org/abs/2005.11671v1 • [cs.CR]Successive Refinement of Privacy Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas Diggavi http://arxiv.org/abs/2005.11651v1 • [cs.CV]A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition Huikai Shao, Dexing Zhong http://arxiv.org/abs/2005.12044v1 • [cs.CV]AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction Xiaoli Liu, Jianqin Yin, Jun Liu http://arxiv.org/abs/2005.12155v1 • [cs.CV]Adaptive Adversarial Logits Pairing Shangxi Wu, Jitao Sang, Kaiyuan Xu, Guanhua Zheng, Changsheng Xu http://arxiv.org/abs/2005.11904v1 • [cs.CV]AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo, Toyoaki Nishida http://arxiv.org/abs/2005.11489v1 • [cs.CV]Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare & analyze K-Nearest Neighbours and Deep CNNs Rishabh Malhotra, Dhron Joshi, Ku Young Shin http://arxiv.org/abs/2005.11417v1 • [cs.CV]Attention-guided Context Feature Pyramid Network for Object Detection Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi http://arxiv.org/abs/2005.11475v1 • [cs.CV]Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques Mona Minakshi, Pratool Bharti, Willie B. McClinton III, Jamshidbek Mirzakhalov, Ryan M. Carney, Sriram Chellappan http://arxiv.org/abs/2005.12188v1 • [cs.CV]Benefits of temporal information for appearance-based gaze estimation Cristina Palmero, Oleg V. Komogortsev, Sachin S. Talathi http://arxiv.org/abs/2005.11670v1 • [cs.CV]Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu http://arxiv.org/abs/2005.11780v1 • [cs.CV]Deep learning approach to describe and classify fungi microscopic images Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Włoch http://arxiv.org/abs/2005.11772v1 • [cs.CV]Delving into the Imbalance of Positive Proposals in Two-stage Object Detection Zheng Ge, Zequn Jie, Xin Huang, Chengzheng Li, Osamu Yoshie http://arxiv.org/abs/2005.11472v1 • [cs.CV]Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging Jitender Singh Virk, Deepti R. Bathula http://arxiv.org/abs/2005.11746v1 • [cs.CV]Egocentric Human Segmentation for Mixed Reality Andrija Gajic, Ester Gonzalez-Sosa, Diego Gonzalez-Morin, Marcos Escudero-Viñolo, Alvaro Villegas http://arxiv.org/abs/2005.12074v1 • [cs.CV]Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors Bijan Haney, Alexander Lavin http://arxiv.org/abs/2005.11450v1 • [cs.CV]Hashing-based Non-Maximum Suppression for Crowded Object Detection Jianfeng Wang, Xi Yin, Lijuan Wang, Lei Zhang http://arxiv.org/abs/2005.11426v1 • [cs.CV]Hierarchical Feature Embedding for Attribute Recognition Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu http://arxiv.org/abs/2005.11576v1 • [cs.CV]High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu http://arxiv.org/abs/2005.11742v1 • [cs.CV]Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong http://arxiv.org/abs/2005.11943v1 • [cs.CV]Invariant 3D Shape Recognition using Predictive Modular Neural Networks Vasileios Petridis http://arxiv.org/abs/2005.11558v1 • [cs.CV]Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving Donghao Xu, Zhezhang Ding, Xu He, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard http://arxiv.org/abs/2005.11470v1 • [cs.CV]Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler http://arxiv.org/abs/2005.12126v1 • [cs.CV]Master-Auxiliary: an efficient aggregation strategy for video anomaly detection Zhiguo Wang, Zhongliang Yang, Yujin Zhang http://arxiv.org/abs/2005.11645v1 • [cs.CV]Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li http://arxiv.org/abs/2005.11945v1 • [cs.CV]Networks with pixels embedding: a method to improve noise resistance in images classification Chi-Chun Zhou, Hai-Long Tu, Yi Liua, Fu-Lin Zhang http://arxiv.org/abs/2005.11679v1 • [cs.CV]Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta http://arxiv.org/abs/2005.12256v1 • [cs.CV]One of these (Few) Things is Not Like the Others Nat Roth, Justin Wagle http://arxiv.org/abs/2005.11405v1 • [cs.CV]One-Shot Unsupervised Cross-Domain Detection Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi http://arxiv.org/abs/2005.11610v1 • [cs.CV]ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours VSR Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Singh http://arxiv.org/abs/2005.11546v1 • [cs.CV]RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images Zhihao Duan, M. Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad http://arxiv.org/abs/2005.11623v1 • [cs.CV]Recognizing Families through Images with Pretrained Encoder Tuan-Duy H. Nguyen, Huu-Nghia H. Nguyen, Hieu Dao http://arxiv.org/abs/2005.11811v1 • [cs.CV]Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method Jian Jia, Houjing Huang, Wenjie Yang, Xiaotang Chen, Kaiqi Huang http://arxiv.org/abs/2005.11909v1 • [cs.CV]Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation Sijie Zhu, Taojiannan Yang, Chen Chen http://arxiv.org/abs/2005.11592v1 • [cs.CV]Robust Object Detection under Occlusion with \Context-Aware CompositionalNets Angtian Wang, Yihong Sun, Adam Kortylewski, Alan Yuille http://arxiv.org/abs/2005.11643v1 • [cs.CV]S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf http://arxiv.org/abs/2005.11437v1 • [cs.CV]Self-Training for Domain Adaptive Scene Text Detection Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang http://arxiv.org/abs/2005.11487v1 • [cs.CV]Self-supervised Robust Object Detectors from Partially Labelled datasets Mahdieh Abbasi, Denis Laurendeau, Christian Gagne http://arxiv.org/abs/2005.11549v1 • [cs.CV]ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer http://arxiv.org/abs/2005.11626v1 • [cs.CV]Underwater object detection using Invert Multi-Class Adaboost with deep learning Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou http://arxiv.org/abs/2005.11552v1 • [cs.CV]Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE N. Joseph Tatro, Stefan C. Schonsheck, Rongjie Lai http://arxiv.org/abs/2005.11622v1 • [cs.CV]Visual Attention: Deep Rare Features Mancas Matei, Kong Phutphalla, Gosselin Bernard http://arxiv.org/abs/2005.12073v1 • [cs.CV]Visual Localization Using Semantic Segmentation and Depth Prediction Huanhuan Fan, Yuhao Zhou, Ang Li, Shuang Gao, Jijunnan Li, Yandong Guo http://arxiv.org/abs/2005.11922v1 • [cs.CY]A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones Thomas K. Dasaklis, Fran Casino, Constantinos Patsais http://arxiv.org/abs/2005.11556v1 • [cs.CY]Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing Camellia Zakaria, Amee Trivedi, Michael Chee, Prashant Shenoy, Rajesh Balan http://arxiv.org/abs/2005.12050v1 • [cs.CY]COVID-19 Contact Tracing: Eight Privacy Questions Explored Hugh Lawson-Tancred, Henry C. W. Price, Alessandro Provetti http://arxiv.org/abs/2005.11416v1 • [cs.CY]Data as Infrastructure for Smart Cities: Linking Data Platforms to Business Strategies Larissa Romualdo-Suzuki, Anthony Finkelstein http://arxiv.org/abs/2005.11414v1 • [cs.CY]Embedding Culture and Grit in the Technology Acceptance Model (TAM) for Higher Education Parvathy Panicker http://arxiv.org/abs/2005.11973v1 • [cs.CY]Evolution of Cooperative Hunting in Artificial Multi-layered Societies Honglin Bao, Wolfgang Banzhaf http://arxiv.org/abs/2005.11580v1 • [cs.CY]Experimental, ad hoc, online, inter-university student e-contest during the pandemic: Lessons learned Horia-Nicolai Teodorescu http://arxiv.org/abs/2005.12087v1 • [cs.CY]The Fallibility of Contact-Tracing Apps Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara http://arxiv.org/abs/2005.11297v2 • [cs.CY]Unleashing the power of disruptive and emerging technologies amid COVID 2019: A detailed review Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K K Soundra Pandian, Praveer Saxena http://arxiv.org/abs/2005.11507v1 • [cs.DB]CAPre: Code-Analysis based Prefetching for Persistent Object Stores Rizkallah Touma, Anna Queralt, Toni Cortes http://arxiv.org/abs/2005.11259v2 • [cs.DC]Benchmarking and Performance Modelling of MapReduce Communication Pattern Sheriffo Ceesay, Adam Barker, Yuhui Lin http://arxiv.org/abs/2005.11608v1 • [cs.DC]Mechanisms for Outsourcing Computation via a Decentralized Market Scott Eisele, Taha Eghtesad, Nicholas Troutman, Aron Laszka, Abhishek Dubey http://arxiv.org/abs/2005.11429v1 • [cs.DC]No Reservations: A First Look at Amazon’s Reserved Instance Marketplace Pradeep Ambati, David Irwin, Prashant Shenoy http://arxiv.org/abs/2005.12249v1 • [cs.DC]Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions SM Zobaed, Raju Gottmukkala, Mohsen Amini Salehi http://arxiv.org/abs/2005.11317v1 • [cs.DC]Profiling Resource Utilization of Bioinformatics Workflows Huazeng Deng, Ling-Hong Hung, Raymond Schooley, David Perez, Niharika Arumilli, Ka Yee Yeung, Wes Lloyd http://arxiv.org/abs/2005.11491v1 • [cs.DC]TeaMPI — Replication-based Resilience without the (Performance) Pain Philipp Samfass, Tobias Weinzierl, Benjamin Hazelwood, Michael Bader http://arxiv.org/abs/2005.12091v1 • [cs.DC]Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wangz http://arxiv.org/abs/2005.11901v1 • [cs.DS]DartMinHash: Fast Sketching for Weighted Sets Tobias Christiani http://arxiv.org/abs/2005.11547v1 • [cs.GT]Walrasian Equilibria in Markets with Small Demands Argyrios Deligkas, Themistoklis Melissourgos, Paul G. Spirakis http://arxiv.org/abs/2005.11796v1 • [cs.HC]Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps Tianshi Li, Jackie, Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong http://arxiv.org/abs/2005.11957v1 • [cs.HC]Eye Gaze Controlled Robotic Arm for Persons with SSMI Vinay Krishna Sharma, L. R. D. Murthy, KamalPreet Singh Saluja, Vimal Mollyn, Gourav Sharma, Pradipta Biswas http://arxiv.org/abs/2005.11994v1 • [cs.HC]PhyAAt: Physiology of Auditory Attention to Speech Dataset Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti http://arxiv.org/abs/2005.11577v1 • [cs.HC]Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation Tuan-Duy H. Nguyen, Huu-Nghia H. Nguyen http://arxiv.org/abs/2005.11932v1 • [cs.IR]ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou http://arxiv.org/abs/2005.12002v1 • [cs.IR]AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu http://arxiv.org/abs/2005.11888v1 • [cs.IR]COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining Yixian Zhang, Jieren Chen, Boyi Liu, Yifan Yang, Haocheng Li, Xinyi Zheng, Xi Chen, Tenglong Ren, Naixue Xiong http://arxiv.org/abs/2005.11458v1 • [cs.IR]Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank Ali Vardasbi, Maarten de Rijke, Ilya Markov http://arxiv.org/abs/2005.11938v1 • [cs.IR]How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements Noveen Sachdeva, Julian McAuley http://arxiv.org/abs/2005.12210v1 • [cs.IR]Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang http://arxiv.org/abs/2005.12021v1 • [cs.IR]Joint Training Capsule Network for Cold Start Recommendation Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu http://arxiv.org/abs/2005.11467v1 • [cs.IR]Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang http://arxiv.org/abs/2005.11724v1 • [cs.IR]MPSUM: Entity Summarization with Predicate-based Matching Dongjun Wei, Shiyuan Gao, Yaxin Liu, Zhibing Liu, Longtao Hang http://arxiv.org/abs/2005.11992v1 • [cs.IR]Open-Retrieval Conversational Question Answering Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer http://arxiv.org/abs/2005.11364v1 • [cs.IR]Query Resolution for Conversational Search with Limited Supervision Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke http://arxiv.org/abs/2005.11723v1 • [cs.IR]Summarizing and Exploring Tabular Data in Conversational Search Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan http://arxiv.org/abs/2005.11490v1 • [cs.IT]A Note on Self-Dual Generalized Reed-Solomon Codes Weijun Fang, Jun Zhang, Shu-Tao Xia1, Fang-Wei Fu http://arxiv.org/abs/2005.11732v1 • [cs.IT]Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines Xiufeng Huang, Sheng Zhou http://arxiv.org/abs/2005.12235v1 • [cs.IT]Fast Beam Training for IRS-Assisted Multiuser Communications Changsheng You, Beixiong Zheng, Rui Zhang http://arxiv.org/abs/2005.11652v1 • [cs.IT]Fluid Antenna Systems Kai-Kit Wong, Arman Shojaeifard, Kin-Fai Tong, Yangyang Zhang http://arxiv.org/abs/2005.11561v1 • [cs.IT]Non-Binary Constrained Codes for Two-Dimensional Magnetic Recording Beyza Dabak, Ahmed Hareedy, Robert Calderbank http://arxiv.org/abs/2005.11412v1 • [cs.IT]The Isometry-Dual Property in Flags of Two-Point Algebraic Geometry Codes Maria Bras-Amorós, Alonso S. Castellanos, Luciane Quoos http://arxiv.org/abs/2005.12239v1 • [cs.IT]Update Bandwidth for Distributed Storage Zhengrui Li, Sian-Jheng Lin, Po-Ning Chen, Yunghsiang S. Han, Hanxu Hou http://arxiv.org/abs/2005.11894v1 • [cs.LG]A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping Benjamin Lucas, Charlotte Pelletier, Daniel Schmidt, Geoffrey I. Webb, François Petitjean http://arxiv.org/abs/2005.11930v1 • [cs.LG]A Novel Confidence-Based Algorithm for Structured Bandits Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli http://arxiv.org/abs/2005.11593v1 • [cs.LG]A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data S. Onur Sahin, Suleyman S. Kozat http://arxiv.org/abs/2005.11353v1 • [cs.LG]Active Learning for Skewed Data Sets Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork http://arxiv.org/abs/2005.11442v1 • [cs.LG]Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan http://arxiv.org/abs/2005.11560v1 • [cs.LG]Adversarial Feature Selection against Evasion Attacks Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli http://arxiv.org/abs/2005.12154v1 • [cs.LG]Approximation in shift-invariant spaces with deep ReLU neural networks Yunfei Yang, Yang Wang http://arxiv.org/abs/2005.11949v1 • [cs.LG]Attention-based Neural Bag-of-Features Learning for Sequence Data Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis http://arxiv.org/abs/2005.12250v1 • [cs.LG]Automatic Discovery of Interpretable Planning Strategies Julian Skirzynski, Frederic Becker, Falk Lieder http://arxiv.org/abs/2005.11730v1 • [cs.LG]Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma, Elise Jennings http://arxiv.org/abs/2005.11619v1 • [cs.LG]Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates Kaiwen Zhou, Anthony Man-Cho So, James Cheng http://arxiv.org/abs/2005.12061v1 • [cs.LG]Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang http://arxiv.org/abs/2005.11650v1 • [cs.LG]Deep Tensor CCA for Multi-view Learning Hok Shing Wong, Li Wang, Raymond Chan, Tieyong Zeng http://arxiv.org/abs/2005.11914v1 • [cs.LG]Discriminative Active Learning for Domain Adaptation Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa http://arxiv.org/abs/2005.11653v1 • [cs.LG]Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh, Liang Zheng http://arxiv.org/abs/2005.12254v1 • [cs.LG]Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki, Shiva Prasad Kasiviswanathan, f07 Andrew McGregor, Cameron Musco http://arxiv.org/abs/2005.11736v1 • [cs.LG]FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang, Mingyi Hong, Sairaj Dhople, Wotao Yin, Yang Liu http://arxiv.org/abs/2005.11418v1 • [cs.LG]Fractional moment-preserving initialization schemes for training fully-connected neural networks Mert Gurbuzbalaban, Yuanhan Hu http://arxiv.org/abs/2005.11878v1 • [cs.LG]Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis Pranav Poduval, Hrushikesh Loya, Amit Sethi http://arxiv.org/abs/2005.11797v1 • [cs.LG]Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai http://arxiv.org/abs/2005.12206v1 • [cs.LG]Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding http://arxiv.org/abs/2005.12108v1 • [cs.LG]Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization Alan Mazankiewicz, Klemens Böhm, Mario Bergés http://arxiv.org/abs/2005.12178v1 • [cs.LG]Instability, Computational Efficiency and Statistical Accuracy Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu http://arxiv.org/abs/2005.11411v1 • [cs.LG]Joint learning of interpretation and distillation Jinchao Huang, Guofu Li, Zhicong Yan, Fucai Luo, Shenghong Li http://arxiv.org/abs/2005.11638v1 • [cs.LG]Learnability of Timescale Graphical Event Models Philipp Behrendt http://arxiv.org/abs/2005.12186v1 • [cs.LG]MANGO: A Python Library for Parallel Hyperparameter Tuning Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani Srivastava http://arxiv.org/abs/2005.11394v1 • [cs.LG]Multi-view Alignment and Generation in CCA via Consistent Latent Encoding Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang http://arxiv.org/abs/2005.11716v1 • [cs.LG]NENET: An Edge Learnable Network for Link Prediction in Scene Text Mayank Kumar Singh, Sayan Banerjee, Shubhasis Chaudhuri http://arxiv.org/abs/2005.12147v1 • [cs.LG]Policy Entropy for Out-of-Distribution Classification Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien http://arxiv.org/abs/2005.12069v1 • [cs.LG]Privacy-Preserving Graph Neural Network for Node Classification Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang http://arxiv.org/abs/2005.11903v1 • [cs.LG]Proper Learning, Helly Number, and an Optimal SVM Bound Olivier Bousquet, Steve Hanneke, Shay Moran, Nikita Zhivotovskiy http://arxiv.org/abs/2005.11818v1 • [cs.LG]Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data GeunHyeong Lee, Soo-Yong Shin http://arxiv.org/abs/2005.11756v1 • [cs.LG]Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting Yuexin Zhang, Jiahong Wang, Shuzhi Sam Ge, Lihui Wang http://arxiv.org/abs/2005.11478v1 • [cs.LG]Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search Arta Seify, Michael Buro http://arxiv.org/abs/2005.11335v1 • [cs.LG]Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang http://arxiv.org/abs/2005.11627v1 • [cs.LG]TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang http://arxiv.org/abs/2005.11480v1 • [cs.LG]The price for fairness in a regression framework Thibaut Le Gouic, Jean-Michel Loubes http://arxiv.org/abs/2005.11720v1 • [cs.LG]Thermodynamics-based Artificial Neural Networks for constitutive modeling Filippo Masi, Ioannis Stefanou, Paolo Vannucci, Victor Maffi-Berthier http://arxiv.org/abs/2005.12183v1 • [cs.LO]Formal Methods with a Touch of Magic Parand Alizadeh Alamdari, Guy Avni, Thomas A. Henzinger, Anna Lukina http://arxiv.org/abs/2005.12175v1 • [cs.NE]Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin, Federico Corradi, Sander M. Bohté http://arxiv.org/abs/2005.11633v1 • [cs.NE]Geometric algorithms for predicting resilience and recovering damage in neural networks Guruprasad Raghavan, Jiayi Li, Matt Thomson http://arxiv.org/abs/2005.11603v1 • [cs.NE]Physics-based polynomial neural networks for one-short learning of dynamical systems from one or a few samples Andrei Ivanov, Uwe Iben, Anna Golovkina http://arxiv.org/abs/2005.11699v1 • [cs.NI]Learning to Charge RF-Energy Harvesting Devices in WiFi Networks Yizhou Luo, Kwan-Wu Chin http://arxiv.org/abs/2005.12022v1 • [cs.NI]WiFiTrace: Network-based Contact Tracing for Infectious DiseasesUsing Passive WiFi Sensing Amee Trivedi, Camellia Zakaria, Rajesh Balan, Prashant Shenoy http://arxiv.org/abs/2005.12045v1 • [cs.RO]An intent-based approach for creating assistive robots’ control systems Tomasz Winiarski, Wojciech Dudek, Maciej Stefańczyk, Łukasz Zieliński, Daniel Giełdowski, Dawid Seredyński http://arxiv.org/abs/2005.12106v1 • [cs.RO]Ascento: A Two-Wheeled Jumping Robot Victor Klemm, Alessandro Morra, Ciro Salzmann, Florian Tschopp, Karen Bodie, Lionel Gulich, Nicola Küng, Dominik Mannhart, Corentin Pfister, Marcus Vierneisel, Florian Weber, Robin Deuber, Roland Siegwart http://arxiv.org/abs/2005.11435v1 • [cs.RO]Combinatorics of a Discrete Trajectory Space for Robot Motion Planning Felix Wiebe, Shivesh Kumar, Daniel Harnack, Malte Langosz, Hendrik Wöhrle, Frank Kirchner http://arxiv.org/abs/2005.12064v1 • [cs.RO]Evaluation of Non-Collocated Force Feedback Driven by Signal-Independent Noise Zonghe Chua, Allison M. Okamura, Darrel R. Deo http://arxiv.org/abs/2005.11445v1 • [cs.RO]Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks Xiaoyu Mo, Yang Xing, Chen Lv http://arxiv.org/abs/2005.12134v1 • [cs.RO]LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot with Kinematic Loops Victor Klemm, Alessandro Morra, Lionel Gulich, Dominik Mannhart, David Rohr, Mina Kamel, Yvain de Viragh, Roland Siegwart http://arxiv.org/abs/2005.11431v1 • [cs.RO]Learning Camera Miscalibration Detection Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena http://arxiv.org/abs/2005.11711v1 • [cs.RO]Learning visual servo policies via planner cloning Ulrich Viereck, Kate Saenko, Robert Platt http://arxiv.org/abs/2005.11810v1 • [cs.RO]LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision Zheyu Zhuang, Xin Yu, Robert Mahony http://arxiv.org/abs/2005.12072v1 • [cs.RO]Monitoring and Diagnosability of Perception Systems Pasquale Antonante, David I. Spivak, Luca Carlone http://arxiv.org/abs/2005.11816v1 • [cs.RO]Vision-based control of a knuckle boom crane with online cable length estimation Geir Ole Tysse, Andrej Cibicik, Olav Egeland http://arxiv.org/abs/2005.11794v1 • [cs.SD]End-to-End Auditory Object Recognition via Inception Nucleus Mohammad K. Ebrahimpour, Timothy Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello http://arxiv.org/abs/2005.12195v1 • [cs.SD]Speaker and Posture Classification using Instantaneous Intraspeech Breathing Features Atıl İlerialkan, Alptekin Temizel, Hüseyin Hacıhabiboğlu http://arxiv.org/abs/2005.12230v1 • [cs.SE]Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid, Marina Polishchuk, Baishakhi Ray http://arxiv.org/abs/2005.11498v1 • [cs.SE]Req2Lib: A Semantic Neural Model for Software Library Recommendation Zhensu Sun, Yan Liu, Ziming Cheng, Chen Yang, Pengyu Che http://arxiv.org/abs/2005.11757v1 • [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/2005.11041v2 • [cs.SI]An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar http://arxiv.org/abs/2005.11763v1 • [cs.SI]Temporal Network Motifs: Models, Limitations, Evaluation Penghang Liu, Valerio Guarrasi, A. Erdem Sarıyüce http://arxiv.org/abs/2005.11817v1 • [cs.SI]Token-curated registry (TCR) in a scholarly journal: blockchain meets invisible colleges Artyom Kosmarski, Nikolay Gordiychuk http://arxiv.org/abs/2005.11534v1 • [cs.SI]User behavior and token adoption on ERC20 Alfredo J. Morales, Shahar Somin, Yaniv Altshuler, Alex ‘Sandy’ Pentland http://arxiv.org/abs/2005.12218v1 • [econ.EM]An alternative to synthetic control for models with many covariates under sparsity Marianne Bléhaut, Xavier D’Haultfoeuille, Jérémy L’Hour, Alexandre B. Tsybakov http://arxiv.org/abs/2005.12225v1 • [eess.AS]Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Junjie Wang, Ming Li http://arxiv.org/abs/2005.11777v1 • [eess.AS]An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling Bi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, Berlin Chen http://arxiv.org/abs/2005.11950v1 • [eess.AS]Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques Thomas Drugman, Thomas Dubuisson, Alexis Moinet, Nicolas D’Alessandro, Thierry Dutoit http://arxiv.org/abs/2005.11682v1 • [eess.AS]Identify Speakers in Cocktail Parties with End-to-End Attention Junzhe Zhu, Mark Hasegawa-Johnson, Leda Sari http://arxiv.org/abs/2005.11408v1 • [eess.AS]Lite Audio-Visual Speech Enhancement Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang http://arxiv.org/abs/2005.11769v1 • [eess.AS]Microphone Array Based Surveillance Audio Classification Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama http://arxiv.org/abs/2005.11348v1 • [eess.AS]SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, Yu Tsao http://arxiv.org/abs/2005.11760v1 • [eess.AS]Speaker diarization with session-level speaker embedding refinement using graph neural networks Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno http://arxiv.org/abs/2005.11371v1 • [eess.IV]A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala http://arxiv.org/abs/2005.11715v1 • [eess.IV]A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images Kenta Yamamoto, Ryota Kawamura, Kazuki Takazawa, Hiroyuki Osone, Yoichi Ochiai http://arxiv.org/abs/2005.12027v1 • [eess.IV]An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton http://arxiv.org/abs/2005.12066v1 • [eess.IV]Bayesian Conditional GAN for MRI Brain Image Synthesis Gengyan Zhaoa, Mary E. Meyerand, Rasmus M. Birn http://arxiv.org/abs/2005.11875v1 • [eess.IV]Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI Anas Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad E. H. Chowdhury http://arxiv.org/abs/2005.11524v1 • [eess.IV]Hyperspectral Image Classification with Attention Aided CNNs Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya http://arxiv.org/abs/2005.11977v1 • [eess.IV]JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans Fengze Liu, Jingzheng Cai, Yuankai Huo, Le Lu, Adam P Harrison http://arxiv.org/abs/2005.12209v1 • [eess.IV]Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev http://arxiv.org/abs/2005.11960v1 • [eess.IV]MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni http://arxiv.org/abs/2005.11630v1 • [eess.IV]Misalignment Resilient Diffractive Optical Networks Deniz Mengu, Yifan Zhao, Nezih T. Yardimci, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan http://arxiv.org/abs/2005.11464v1 • [eess.IV]Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q Duong http://arxiv.org/abs/2005.11856v1 • [eess.IV]The efficiency of deep learning algorithms for detecting anatomical reference points on radiological images of the head profile Konstantin Dobratulin, Andrey Gaidel, Irina Aupova, Anna Ivleva, Aleksandr Kapishnikov, Pavel Zelter http://arxiv.org/abs/2005.12110v1 • [eess.IV]mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng http://arxiv.org/abs/2005.11926v1 • [eess.SP]How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu http://arxiv.org/abs/2005.11691v1 • [eess.SP]Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober http://arxiv.org/abs/2005.11544v1 • [eess.SP]Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato http://arxiv.org/abs/2005.11885v1 • [eess.SP]Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan http://arxiv.org/abs/2005.11663v1 • [eess.SP]SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays Menghong Feng, Noman Bashir, Prashant Shenoy, David Irwin, Beka Kosanovic http://arxiv.org/abs/2005.12181v1 • [eess.SP]Triplet-Based Wireless Channel Charting Paul Ferrand, Alexis Decurninge, Luis G. Ordoñez, Maxime Guillaud http://arxiv.org/abs/2005.12242v1 • [eess.SY]Emission-aware Energy Storage Scheduling for a Greener Grid Rishikesh Jha, Stephen Lee, Srinivasan Iyengar, Mohammad H. Hajiesmaili, David Irwin, Prashant Shenoy http://arxiv.org/abs/2005.12234v1 • [eess.SY]How Training Data Impacts Performance in Learning-based Control Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche http://arxiv.org/abs/2005.12062v1 • [math.NA]An efficient iterative method for reconstructing surface from point clouds Dong Wang http://arxiv.org/abs/2005.11864v1 • [math.OC]Controllability of Uniform Hypergraphs Can Chen, Anthony Bloch, Indika Rajapakse http://arxiv.org/abs/2005.12244v1 • [math.OC]Derivation of Symmetric PCA Learning Rules from a Novel Objective Function Ralf Möller http://arxiv.org/abs/2005.11689v1 • [math.OC]Knee Point Identification Based on Trade-Off Utility Ke Li, Haifeng Nie, Huifu Gao, Xin Yao http://arxiv.org/abs/2005.11600v1 • [math.OC]Model-free Reinforcement Learning for Stochastic Stackelberg Security Games Deepanshu Vasal http://arxiv.org/abs/2005.11853v1 • [math.OC]Multivariate Convex Regression at Scale Wenyu Chen, Rahul Mazumder http://arxiv.org/abs/2005.11588v1 • [math.PR]How linear reinforcement affects Donsker’s Theorem for empirical processes Jean Bertoin http://arxiv.org/abs/2005.11986v1 • [math.PR]Sharp variance-entropy comparison for nonnegative gaussian quadratic forms Piotr Nayar, Szymon Zwara http://arxiv.org/abs/2005.11705v1 • [math.ST]Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation Yifan Chen, Houman Owhadi, Andrew M. Stuart http://arxiv.org/abs/2005.11375v1 • [math.ST]Cumulant methods in the estimation of response functions in time-invariant linear systems Irina Blazhievska http://arxiv.org/abs/2005.11774v1 • [math.ST]Estimation of cluster functionals for regularly varying time series: sliding blocks estimators Youssouph Cissokho, Rafal Kulik http://arxiv.org/abs/2005.11378v1 • [math.ST]Mixing properties of Skellam-GARCH processes Paul Doukhan, Naushad Mamode Khan, Michael H. Neumann http://arxiv.org/abs/2005.12093v1 • [math.ST]Optimal singular value shrinkage for operator norm loss William Leeb http://arxiv.org/abs/2005.11807v1 • [math.ST]Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear Models Abhik Ghosh, Magne Thoresen http://arxiv.org/abs/2005.12068v1 • [math.ST]The Optimal ‘AND’ Richard Rohwer http://arxiv.org/abs/2005.11635v1 • [math.ST]The information-geometric perspective of Compositional Data Analysis Ionas Erb, Nihat Ay http://arxiv.org/abs/2005.11510v1 • [physics.ao-ph]Climbing down Charney’s ladder: Machine Learning and the post-Dennard era of computational climate science V. Balaji http://arxiv.org/abs/2005.11862v1 • [physics.soc-ph]Spatiotemporal Network Evolution of Anthropogenic Night Light 1992-2015 C. Small http://arxiv.org/abs/2005.12197v1 • [q-fin.GN]Green production as a factor of survival for innovative startups. Evidence from Italy Riccardo Gianluigi Serio, Maria Michela Dickson, Diego Giuliani, Giuseppe Espa http://arxiv.org/abs/2005.12102v1 • [stat.AP]A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification Rico Krueger, Prateek Bansal, Prasad Buddhavarapu http://arxiv.org/abs/2005.11738v1 • [stat.AP]Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi, Alessandra Micheletti, Federica Nicolussi, Silvia Salini http://arxiv.org/abs/2005.12170v1 • [stat.AP]Pixelate to communicate: visualising uncertainty in maps of disease risk and other spatial continua Aimee R Taylor, James A Watson, Caroline O Buckee http://arxiv.org/abs/2005.11993v1 • [stat.AP]Statistical Analysis of Data Repeatability Measures Zeyi Wang, Eric Bridgeford, Shangsi Wang, Joshua T. Vogelstein, Brian Caffo http://arxiv.org/abs/2005.11911v1 • [stat.ME]A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao http://arxiv.org/abs/2005.11599v1 • [stat.ME]An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions Alessio Farcomeni, Antonello Maruotti, Fabio Divino, Giovanna Jona Lasinio, Gianfranco Lovison http://arxiv.org/abs/2005.11975v1 • [stat.ME]Bayesian Integrative Analysis and Prediction with Application to Atherosclerosis Cardiovascular Disease Thierry Chekouo, Sandra E. Safo http://arxiv.org/abs/2005.11586v1 • [stat.ME]Bayesian Multiresolution Modeling Of Georeferenced Data John Paige, Geir-Arne Fuglstad, Andrea Riebler, Jon Wakefield http://arxiv.org/abs/2005.11805v1 • [stat.ME]Bayesian non-asymptotic extreme value models for environmental data Enrico Zorzetto, Antonio Canale, Marco Marani http://arxiv.org/abs/2005.12101v1 • [stat.ME]Empirical Likelihood Inference With Public-Use Survey Data Puying Zhao, J. N. K. Rao, Changbao Wu http://arxiv.org/abs/2005.12172v1 • [stat.ME]Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole, Abbas Khalili http://arxiv.org/abs/2005.11641v1 • [stat.ME]Flexible Two-point Selection Approach for Characteristic Function-based Parameter Estimation of Stable Laws Shinji Kakinaka, Ken Umeno http://arxiv.org/abs/2005.11499v1 • [stat.ME]Fused graphical lasso for brain networks with symmetries Saverio Ranciati, Alberto Roverato, Alessandra Luati http://arxiv.org/abs/2005.11785v1 • [stat.ME]Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders Sorawit Saengkyongam, Ricardo Silva http://arxiv.org/abs/2005.11528v1 • [stat.ME]Most Likely Optimal Subsampled Markov Chain Monte Carlo Guanyu Hu, HaiYing Wang http://arxiv.org/abs/2005.11461v1 • [stat.ME]Reducing Variance with Sample Allocation Based on Expected Response Rates Blanka Szeitl, Tamás Rudas http://arxiv.org/abs/2005.12168v1 • [stat.ME]Spatially varying causal effect models Shu Yang, Brian J. Reich, Ana G. Rappold http://arxiv.org/abs/2005.12017v1 • [stat.ME]Supervised Convex Clustering Minjie Wang, Tianyi Yao, Genevera I. Allen http://arxiv.org/abs/2005.12198v1 • [stat.ML]Causal Bayesian Optimization Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier Gonz’ alez http://arxiv.org/abs/2005.11741v1 • [stat.ML]Factor Analysis of Mixed Data for Anomaly Detection Matthew Davidow, David S. Matteson http://arxiv.org/abs/2005.12129v1 • [stat.ML]Feature Robust Optimal Transport for High-dimensional Data Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada http://arxiv.org/abs/2005.12123v1 • [stat.ML]Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand http://arxiv.org/abs/2005.12055v1 • [stat.ML]Longitudinal Deep Kernel Gaussian Process Regression Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant Honavar http://arxiv.org/abs/2005.11770v1 • [stat.ML]Reactive Sample Size for Heuristic Search in Simulation-based Optimization Manuel Dalcastagné, Andrea Mariello, Roberto Battiti http://arxiv.org/abs/2005.12141v1 • [stat.ML]Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks Zhou Fan, Zhichao Wang http://arxiv.org/abs/2005.11879v1 • [stat.ML]The effect of measurement error on clustering algorithms Paulina Pankowska, Daniel L. Oberski http://arxiv.org/abs/2005.11743v1 • [stat.ML]Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat http://arxiv.org/abs/2005.12005v1 • [stat.ML]mvlearn: Multiview Machine Learning in Python Ronan Perry, Gavin Mischler, Richard Guo, Theo Lee, Alexander Chang, Arman Koul, Cameron Franz, Joshua T. Vogelstein http://arxiv.org/abs/2005.11890v1
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