astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.str-el - 强关联电子系统
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.FL - 形式语言与自动机理论
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    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.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    math.OA - 算子代数
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.ao-ph - 大气和海洋物理
    physics.comp-ph - 计算物理学
    q-bio.QM - 定量方法
    q-fin.RM - 风险管理
    q-fin.ST - 统计金融学
    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

    • [astro-ph.IM]eBASCS: Disentangling Overlapping Astronomical Sources II, using Spatial, Spectral, and Temporal Information
    • [cond-mat.str-el]Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation
    • [cs.AI]A Review on Explainability in Multimodal Deep Neural Nets
    • [cs.AI]AI and Shared Prosperity
    • [cs.AI]Actively Learning Concepts and Conjunctive Queries under ELdr-Ontologies
    • [cs.AI]CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
    • [cs.AI]CoTexT: Multi-task Learning with Code-Text Transformer
    • [cs.AI]Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
    • [cs.AI]Contrastive Model Inversion for Data-Free Knowledge Distillation
    • [cs.AI]DACBench: A Benchmark Library for Dynamic Algorithm Configuration
    • [cs.AI]Fast Game Content Adaptation Through Bayesian-based Player Modelling
    • [cs.AI]Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records
    • [cs.AI]Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
    • [cs.AI]Link Prediction on N-ary Relational Facts: A Graph-based Approach
    • [cs.AI]Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
    • [cs.AI]Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
    • [cs.AI]PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies
    • [cs.AI]Reconfiguring Hybrid Systems Using SAT
    • [cs.CL]BookSum: A Collection of Datasets for Long-form Narrative Summarization
    • [cs.CL]CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
    • [cs.CL]DRILL: Dynamic Representations for Imbalanced Lifelong Learning
    • [cs.CL]Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
    • [cs.CL]Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
    • [cs.CL]KECRS: Towards Knowledge-Enriched Conversational Recommendation System
    • [cs.CL]LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
    • [cs.CL]MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
    • [cs.CL]Multi-Modal Image Captioning for the Visually Impaired
    • [cs.CL]Parallel Attention Network with Sequence Matching for Video Grounding
    • [cs.CL]Relation Classification with Entity Type Restriction
    • [cs.CL]Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings
    • [cs.CL]SHARE: a System for Hierarchical Assistive Recipe Editing
    • [cs.CL]Self-interpretable Convolutional Neural Networks for Text Classification
    • [cs.CL]Stylized Story Generation with Style-Guided Planning
    • [cs.CL]The Commodities News Corpus: A Resource forUnderstanding Commodity News Better
    • [cs.CL]Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
    • [cs.CL]WOVe: Incorporating Word Order in GloVe Word Embeddings
    • [cs.CR]DID-eFed: Facilitating Federated Learning as a Service withDecentralized Identities
    • [cs.CR]On the Robustness of Domain Constraints
    • [cs.CV]ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
    • [cs.CV]Assessing aesthetics of generated abstract images using correlation structure
    1000
    • [cs.CV]Content Disentanglement for Semantically Consistent Synthetic-to-RealDomain Adaptation in Urban Traffic Scenes
    • [cs.CV]Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks
    • [cs.CV]Deep Active Contours Using Locally Controlled Distance Vector Flow
    • [cs.CV]Deep Metric Learning for Few-Shot Image Classification: A Selective Review
    • [cs.CV]Exemplar-Based Open-Set Panoptic Segmentation Network
    • [cs.CV]Exploring Driving-aware Salient Object Detection via Knowledge Transfer
    • [cs.CV]Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
    • [cs.CV]Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
    • [cs.CV]Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
    • [cs.CV]Human Motion Prediction Using Manifold-Aware Wasserstein GAN
    • [cs.CV]I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition
    • [cs.CV]Improved detection of small objects in road network sequences
    • [cs.CV]IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture
    • [cs.CV]Learning to Automatically Catch Potholes in Worldwide Road Scene Images
    • [cs.CV]NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions
    • [cs.CV]Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement
    • [cs.CV]Physically Plausible Pose Refinement using Fully Differentiable Forces
    • [cs.CV]PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
    • [cs.CV]Progressively Normalized Self-Attention Network for Video Polyp Segmentation
    • [cs.CV]Reinforcement Learning for Adaptive Video Compressive Sensing
    • [cs.CV]SAIL-VOS 3D: A Synthetic Datas
    41a2
    et and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
    • [cs.CV]Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
    • [cs.CV]Single View Geocentric Pose in the Wild
    • [cs.CV]Towards Unsupervised Sketch-based Image Retrieval
    • [cs.CV]Unsupervised Compound Domain Adaptation for Face Anti-Spoofing
    • [cs.CV]Unsupervised identification of surgical robotic actions from small non homogeneous datasets
    • [cs.CV]VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
    • [cs.CV]Vision Transformer for Fast and Efficient Scene Text Recognition
    • [cs.CV]Visual FUDGE: Form Understanding via Dynamic Graph Editing
    • [cs.CV]Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
    • [cs.CY]Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
    • [cs.CY]Modeling the EdNet Dataset with Logistic Regression
    • [cs.CY]Strategic alignment between IT flexibility and dynamic capabilities: an empirical investigation
    • [cs.CY]Study of a Hybrid Photovoltaic-Wind Smart Microgrid using Data Science Approach
    • [cs.CY]Teaching Inclusive Engineering Design at a Small Liberal Arts College
    • [cs.DB]Discovering the Information that is lost in our Databases — Why bother storing data if you can’t find the information?
    • [cs.DC]Durable Queues: The Second Amendment
    • [cs.DC]ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
    • [cs.DC]TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
    • [cs.DC]TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
    • [cs.DL]A Measure of Research Taste
    • [cs.DL]Does publicity in the science press drive citations? A vindication of peer review
    • [cs.DL]Impact of 今日学术视野(2021.5.20) - 图1-index on authors ranking: An improvement to the h-index for lower-ranked author
    • [cs.DS]A Scalable Concurrent Algorithm for Dynamic Connectivity
    • [cs.DS]Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
    • [cs.FL]Improved Ackermannian lower bound for the VASS reachability problem
    • [cs.IR]Entity-Based Query Interpretation
    • [cs.IR]Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
    • [cs.IR]Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
    • [cs.IR]Path-based Deep Network for Candidate Item Matching in Recommenders
    • [cs.IR]Wizard of Search Engine: Access to Information Through Conversations with Search Engines
    • [cs.IT]A note on the unbiased estimation of mutual information
    • [cs.IT]AI Based Landscape Sensing Using Radio Signals
    • [cs.IT]Analysis of Low-Density Parity-Check Codes over Finite Integer Rings for the Lee Channel
    • [cs.IT]IRS-Aided Wireless Relaying: Optimal Deployment and Capacity Scaling
    • [cs.IT]Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network
    • [cs.IT]New LCD MDS codes of non-Reed-Solomon type
    • [cs.IT]Timely Private Information Retrieval
    • [cs.IT]Two new infinite classes of APN functions
    • [cs.IT]Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces
    • [cs.IT]Weakly Private Information Retrieval Under Rényi Divergence
    • [cs.LG]A Clustering Framework for Residential Electric Demand Profiles
    • [cs.LG]A multimodal deep learning framework for scalable content based visual media retrieval
    • [cs.LG]ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework
    • [cs.LG]Adaptive ABAC Policy Learning: A Reinforcement Learning Approach
    • [cs.LG]An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
    • [cs.LG]Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
    • [cs.LG]Can Self Reported Symptoms Predict Daily COVID-19 Cases?
    • [cs.LG]DCAP: Deep Cross Attentional Product Network for User Response Prediction
    • [cs.LG]DRIVE: One-bit Distributed Mean Estimation
    • [cs.LG]Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems
    • [cs.LG]Dependent Multi-Task Learning with Causal Intervention for Image Captioning
    • [cs.LG]Enhancement of prediction algorithms by betting
    • [cs.LG]Fast and Slow Learning of Recurrent Independent Mechanisms
    • [cs.LG]Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
    • [cs.LG]Fixed 今日学术视野(2021.5.20) - 图2-VAE Encoding for Curious Exploration in Complex 3D Environments
    • [cs.LG]Independent Asymmetric Embedding Model for Cascade Prediction on Social Network
    • [cs.LG]Interpretable Time-series Representation Learning With Multi-Level Disentanglement
    • [cs.LG]Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection
    • [cs.LG]Label Inference Attacks from Log-loss Scores
    • [cs.LG]Learning and Certification under Instance-targeted Poisoning
    • [cs.LG]Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme
    • [cs.LG]Learning to Route via Theory-Guided Residual Network
    • [cs.LG]Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
    • [cs.LG]Multiclass Classification using dilute bandit feedback
    • [cs.LG]Oneshot Differentially Private Top-k Selection
    • [cs.LG]Online Multimodal Transportation Planning using Deep Reinforcement Learning
    • [cs.LG]PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence
    • [cs.LG]Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
    • [cs.LG]Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
    • [cs.LG]Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
    • [cs.LG]Relative Positional Encoding for Transformers with Linear Complexity
    • [cs.LG]Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
    • [cs.LG]Sample Efficient Linear Meta-Learning by Alternating Minimization
    • [cs.LG]Sparsity Prior Regularized Q-learning for Sparse Action Tasks
    • [cs.LG]Sparta: Spatially Attentive and Adversarially Robust Activation
    • [cs.LG]Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection
    • [cs.LG]Synthesising Multi-Modal Minority Samples for Tabular Data
    • [cs.LG]The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality
    • [cs.LG]Transformers à Grande Vitesse
    • [cs.LG]Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
    • [cs.LG]Univariate Long-Term Municipal Water Demand Forecasting
    • [cs.LG]Zero-Shot Recommender Systems
    • [cs.LG]Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
    • [cs.MA]BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling
    • [cs.MA]The Confluence of Networks, Games and Learning
    • [cs.NE]Livewired Neural Networks: Making Neurons That Fire Together Wire Together
    • [cs.NI]AI-Native Network Slicing for 6G Networks
    • [cs.RO]Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
    • [cs.RO]Camera Frame Misalignment in a Teleoperated Eye-in-Hand Robot: Effects and a Simple Correction Method
    • [cs.RO]Differentiable Factor Graph Optimization for Learning Smoothers
    • [cs.RO]GPR: Grasp Pose Refinement Network for Cluttered Scenes
    • [cs.RO]Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
    • [cs.RO]Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories
    • [cs.RO]Robust Physics-Based Manipulation by Interleaving Open and Closed-Loop Execution
    • [cs.RO]Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception
    • [cs.RO]StRETcH: a Soft to Resistive Elastic Tactile Hand
    • [cs.RO]Toward Designing Social Human-Robot Interactions for Deep Space Exploration
    • [cs.RO]Zero Dynamics, Pendulum Models, and Angular Momentum in Feedback Control of Bipedal Locomotion
    • [cs.SI]Butterfly-Core Community Search over Labeled Graphs
    • [cs.SI]Divided We Rule: Influencer Polarization on Twitter During Political Crises in India
    • [cs.SI]Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
    • [eess.IV]A parameter refinement method for Ptychography based on Deep Learning concepts
    • [eess.IV]Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
    • [eess.IV]COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs
    • [eess.IV]Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
    • [eess.IV]EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
    • [eess.IV]Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
    • [eess.IV]Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
    • [eess.IV]Multi-view Contrastive Coding of Remote Sensing Images at Pixel-level
    • [eess.IV]Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
    • [eess.IV]Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
    • [eess.IV]Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet
    • [eess.IV]UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
    • [math.OA]Curvature-dimension conditions for symmetric quantum Markov semigroups
    • [math.OC]A Simple Search Problem
    • [math.OC]Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements
    • [math.ST]A sparse stochastic block model with two unequal communities
    • [math.ST]Neural networks to predict survival from RNA-seq data in oncology
    • [math.ST]Parametrization invariant interpretation of priors and posteriors
    • [physics.ao-ph]Forecasting Significant Wave Heights in Oceanic Waters
    • [physics.ao-ph]Stochastic Downscaling to Chaotic Weather Regimes using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance
    • [physics.comp-ph]Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
    • [q-bio.QM]Classifying Contaminated Cell Cultures using Time Series Features
    • [q-fin.RM]Liquidity Stress Testing in Asset Management — Part 2. Modeling the Asset Liquidity Risk
    • [q-fin.ST]Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices
    • [quant-ph]Neural Error Mitigation of Near-Term Quantum Simulations
    • [stat.AP]Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment
    • [stat.AP]Kalman filtering with empirical noise models
    • [stat.ME]An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling
    • [stat.ME]Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
    • [stat.ME]Decoupling P-NARX models using filtered CPD
    • [stat.ME]Distribution-Free Changepoint Detection Tests Based on t
    1000
    he Breaking of Records
    • [stat.ME]Estimation of Population Size with Heterogeneous Catchability and Behavioural Dependence: Applications to Air and Water Borne Disease Surveillance
    • [stat.ME]Flexible Bayesian Modeling of Counts: Constructing Penalized Complexity Priors
    • [stat.ME]High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion
    • [stat.ME]Maximum profile binomial likelihood estimation for the semiparametric Box—Cox power transformation model
    • [stat.ME]Shape Analysis of Functional Data with Elastic Partial Matching
    • [stat.ML]Detecting Adversarial Examples with Bayesian Neural Network
    • [stat.ML]Distributionally Robust Learning in Heterogeneous Contexts
    • [stat.ML]Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
    • [stat.ML]On Convex Clustering Solutions
    • [stat.ML]Optimal radial basis for density-based atomic representations
    • [stat.ML]Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

    ·····································

    • [astro-ph.IM]eBASCS: Disentangling Overlapping Astronomical Sources II, using Spatial, Spectral, and Temporal Information
    Antoine D. Meyer, David A. van Dyk, Vinay L. Kashyap, Luis F. Campos, David E. Jones, Aneta Siemiginowska, Andreas Zezas
    http://arxiv.org/abs/2105.08606v1

    • [cond-mat.str-el]Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation
    Puhan Zhang, Gia-Wei Chern
    http://arxiv.org/abs/2105.08221v1

    • [cs.AI]A Review on Explainability in Multimodal Deep Neural Nets
    Gargi Joshi, Rahee Walambe, Ketan Kotecha
    http://arxiv.org/abs/2105.07878v2

    • [cs.AI]AI and Shared Prosperity
    Katya Klinova, Anton Korinek
    http://arxiv.org/abs/2105.08475v1

    • [cs.AI]Actively Learning Concepts and Conjunctive Queries under ELdr-Ontologies
    Maurice Funk, Jean Christoph Jung, Carsten Lutz
    http://arxiv.org/abs/2105.08326v1

    • [cs.AI]CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
    Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
    http://arxiv.org/abs/2105.08440v1

    • [cs.AI]CoTexT: Multi-task Learning with Code-Text Transformer
    Long Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye
    http://arxiv.org/abs/2105.08645v1

    • [cs.AI]Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
    Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar
    http://arxiv.org/abs/2105.08692v1

    • [cs.AI]Contrastive Model Inversion for Data-Free Knowledge Distillation
    Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
    http://arxiv.org/abs/2105.08584v1

    • [cs.AI]DACBench: A Benchmark Library for Dynamic Algorithm Configuration
    Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
    http://arxiv.org/abs/2105.08541v1

    • [cs.AI]Fast Game Content Adaptation Through Bayesian-based Player Modelling
    Miguel González-Duque, Rasmus Berg Palm, Sebastian Risi
    http://arxiv.org/abs/2105.08484v1

    • [cs.AI]Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records
    Yuval Shahar, Matan Lion
    http://arxiv.org/abs/2105.08450v1

    • [cs.AI]Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
    Sumit Pai, Luca Costabello
    http://arxiv.org/abs/2105.08683v1

    • [cs.AI]Link Prediction on N-ary Relational Facts: A Graph-based Approach
    Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu
    http://arxiv.org/abs/2105.08476v1

    • [cs.AI]Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
    Junhao Hua, Ling Yan, Huan Xu, Cheng Yang
    http://arxiv.org/abs/2105.08313v1

    • [cs.AI]Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
    Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
    http://arxiv.org/abs/2105.08489v1

    • [cs.AI]PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies
    Andy Su, Difei Su, John M. Mulvey, H. Vincent Poor
    http://arxiv.org/abs/2105.08244v1

    • [cs.AI]Reconfiguring Hybrid Systems Using SAT
    Kaja Balzereit, Oliver Niggemann
    http://arxiv.org/abs/2105.08398v1

    • [cs.CL]BookSum: A Collection of Datasets for Long-form Narrative Summarization
    Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
    http://arxiv.org/abs/2105.08209v1

    • [cs.CL]CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
    Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang
    http://arxiv.org/abs/2105.08316v1

    • [cs.CL]DRILL: Dynamic Representations for Imbalanced Lifelong Learning
    Kyra Ahrens, Fares Abawi, Stefan Wermter
    http://arxiv.org/abs/2105.08445v1

    • [cs.CL]Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
    Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu
    http://arxiv.org/abs/2105.08213v1

    • [cs.CL]Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
    Hao Jiang, Yutao Zhu, Xinyu Zhang, Zhicheng Dou, Pan Du, Te Pi, Yantao Jia
    http://arxiv.org/abs/2105.08251v1

    • [cs.CL]KECRS: Towards Knowledge-Enriched Conversational Recommendation System
    Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
    http://arxiv.org/abs/2105.08261v1

    • [cs.CL]LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
    Machel Reid, Victor Zhong
    http://arxiv.org/abs/2105.08206v1

    • [cs.CL]MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
    Yiqun Yao, Michalis Papakostas, Mihai Burzo, Mohamed Abouelenien, Rada Mihalcea
    http://arxiv.org/abs/2105.08146v1

    • [cs.CL]Multi-Modal Image Captioning for the Visually Impaired
    Hiba Ahsan, Nikita Bhalla, Daivat Bhatt, Kaivankumar Shah
    http://arxiv.org/abs/2105.08106v1

    • [cs.CL]Parallel Attention Network with Sequence Matching for Video Grounding
    Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
    http://arxiv.org/abs/2105.08481v1

    • [cs.CL]Relation Classification with Entity Type Restriction
    Shengfei Lyu, Huanhuan Chen
    http://arxiv.org/abs/2105.08393v1

    • [cs.CL]Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings
    Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira
    http://arxiv.org/abs/2105.08585v1

    • [cs.CL]SHARE: a System for Hierarchical Assistive Recipe Editing
    Shuyang Li, Yufei Li, Jianmo Ni, Julian McAuley
    http://arxiv.org/abs/2105.08185v1

    • [cs.CL]Self-interpretable Convolutional Neural Networks for Text Classification
    Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair
    http://arxiv.org/abs/2105.08589v1

    • [cs.CL]Stylized Story Generation with Style-Guided Planning
    Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang
    http://arxiv.org/abs/2105.08625v1

    • [cs.CL]The Commodities News Corpus: A Resource forUnderstanding Commodity News Better
    Meisin Lee, Lay Ki Soon, Eu-gene Siew
    http://arxiv.org/abs/2105.08214v1

    • [cs.CL]Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
    Mathias Müller, Rico Sennrich
    http://arxiv.org/abs/2105.08504v1

    • [cs.CL]WOVe: Incorporating Word Order in GloVe Word Embeddings
    Mohammed Ibrahim, Susan Gauch, Tyler Gerth, Brandon Cox
    http://arxiv.org/abs/2105.08597v1

    • [cs.CR]DID-eFed: Facilitating Federated Learning as a Service withDecentralized Identities
    Jiahui Geng, Neel Kanwal, Martin Gilje Jaatun, Chunming Rong
    http://arxiv.org/abs/2105.08671v1

    • [cs.CR]On the Robustness of Domain Constraints
    Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel
    http://arxiv.org/abs/2105.08619v1

    • [cs.CV]ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
    Kai Wang, Luis Herranz, Joost van de Weijer
    http://arxiv.org/abs/2105.08595v1

    • [cs.CV]Assessing aesthetics of generated abstract images using correlation structure
    1000
    Sina Khajehabdollahi, Georg Martius, Anna Levina
    http://arxiv.org/abs/2105.08635v1

    • [cs.CV]Content Disentanglement for Semantically Consistent Synthetic-to-RealDomain Adaptation in Urban Traffic Scenes
    Mert Keser, Artem Savkin, Federico Tombari
    http://arxiv.org/abs/2105.08704v1

    • [cs.CV]Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks
    Chen Zhang, Yinghao Xu, Yujun Shen
    http://arxiv.org/abs/2105.08222v1

    • [cs.CV]Deep Active Contours Using Locally Controlled Distance Vector Flow
    Parastoo Akbari, Atefeh Ziaei, Hamed Azarnoush
    http://arxiv.org/abs/2105.08447v1

    • [cs.CV]Deep Metric Learning for Few-Shot Image Classification: A Selective Review
    Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue
    http://arxiv.org/abs/2105.08149v1

    • [cs.CV]Exemplar-Based Open-Set Panoptic Segmentation Network
    Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han
    http://arxiv.org/abs/2105.08336v1

    • [cs.CV]Exploring Driving-aware Salient Object Detection via Knowledge Transfer
    Jinming Su, Changqun Xia, Jia Li
    http://arxiv.org/abs/2105.08286v1

    • [cs.CV]Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
    Ryota Yoshihashi, Rei Kaw
    1000
    akami, Shaodi You, Tu Tuan Trinh, Makoto Iida, Takeshi Naemura
    http://arxiv.org/abs/2105.08253v1

    • [cs.CV]Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
    Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
    http://arxiv.org/abs/2105.08127v1

    • [cs.CV]Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
    Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Marcel Worring, Nachoem Wijnberg
    http://arxiv.org/abs/2105.08190v1

    • [cs.CV]Human Motion Prediction Using Manifold-Aware Wasserstein GAN
    Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, Angela Bartolo
    http://arxiv.org/abs/2105.08715v1

    • [cs.CV]I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition
    Chuhui Xue, Shijian Lu, Song Bai, Wenqing Zhang, Changhu Wang
    http://arxiv.org/abs/2105.08383v1

    • [cs.CV]Improved detection of small objects in road network sequences
    Iván García, Rafael Marcos Luque, Ezequiel López
    http://arxiv.org/abs/2105.08416v1

    • [cs.CV]IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture
    J. Lorenzo, I. Parra, M. A. Sotelo
    http://arxiv.org/abs/2105.08647v1

    • [cs.CV]Learning to Automatically Catch Potholes in Worldwide Road Scene Images
    J. Javier Yebes, David Montero, Ignacio Arriola
    http://arxiv.org/abs/2105.07986v2

    • [cs.CV]NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions
    Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua
    http://arxiv.org/abs/2105.08276v1

    • [cs.CV]Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement
    Lorenz K. Muller
    http://arxiv.org/abs/2105.08470v1

    • [cs.CV]Physically Plausible Pose Refinement using Fully Differentiable Forces
    Akarsh Kumar, Aditya R. Vaidya, Alexander G. Huth
    http://arxiv.org/abs/2105.08196v1

    • [cs.CV]PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
    Luke Melas-Kyriazi, Arjun K. Manrai
    http://arxiv.org/abs/2105.08128v1

    • [cs.CV]Progressively Normalized Self-Attention Network for Video Polyp Segmentation
    Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao
    http://arxiv.org/abs/2105.08468v1

    • [cs.CV]Reinforcement Learning for Adaptive Video Compressive Sensing
    Sidi Lu, Xin Yuan, Aggelos K Katsaggelos, Weisong Shi
    http://arxiv.org/abs/2105.08205v1

    • [cs.CV]SAIL-VOS 3D: A Synthetic Datas
    41a2
    et and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
    Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing
    http://arxiv.org/abs/2105.08612v1

    • [cs.CV]Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
    Ruibo Li, Guosheng Lin, Lihua Xie
    http://arxiv.org/abs/2105.08248v1

    • [cs.CV]Single View Geocentric Pose in the Wild
    Gordon Christie, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown
    http://arxiv.org/abs/2105.08229v1

    • [cs.CV]Towards Unsupervised Sketch-based Image Retrieval
    Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
    http://arxiv.org/abs/2105.08237v1

    • [cs.CV]Unsupervised Compound Domain Adaptation for Face Anti-Spoofing
    Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool
    http://arxiv.org/abs/2105.08463v1

    • [cs.CV]Unsupervised identification of surgical robotic actions from small non homogeneous datasets
    Daniele Meli, Paolo Fiorini
    http://arxiv.org/abs/2105.08488v1

    • [cs.CV]VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
    Srijan Das, Rui Dai, Di Yang, Francois Bremond
    http://arxiv.org/abs/2105.08141v1

    • [cs.CV]Vision Transformer for Fast and Efficient Scene Text Recognition
    Rowel Atienza
    http://arxiv.org/abs/2105.08582v1

    • [cs.CV]Visual FUDGE: Form Understanding via Dynamic Graph Editing
    Brian Davis, Bryan Morse, Brian Price, Chris Tensmeyer, Curtis Wiginton
    http://arxiv.org/abs/2105.08194v1

    • [cs.CV]Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
    Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu
    http://arxiv.org/abs/2105.08252v1

    • [cs.CY]Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
    Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
    http://arxiv.org/abs/2105.08667v1

    • [cs.CY]Modeling the EdNet Dataset with Logistic Regression
    Philip I. Pavlik Jr, Luke G. Eglington
    http://arxiv.org/abs/2105.08150v1

    • [cs.CY]Strategic alignment between IT flexibility and dynamic capabilities: an empirical investigation
    Rogier van de Wetering, Patrick Mikalef, Adamantia Pateli
    http://arxiv.org/abs/2105.08429v1

    • [cs.CY]Study of a Hybrid Photovoltaic-Wind Smart Microgrid using Data Science Approach
    Josimar Edinson Chire Saire, José Armando Gastelo Roque, Franco Canziani
    http://arxiv.org/abs/2105.08510v1

    • [cs.CY]Teaching Inclusive Engineering Design at a Small Liberal Arts College
    Maggie Delano
    http://arxiv.org/abs/2105.08201v1

    • [cs.DB]Discovering the Information that is lost in our Databases — Why bother storing data if you can’t find the information?
    P. D. Bruza, H. A. Proper
    http://arxiv.org/abs/2105.08716v1

    • [cs.DC]Durable Queues: The Second Amendment
    Gal Sela, Erez Petrank
    http://arxiv.org/abs/2105.08706v1

    • [cs.DC]ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
    Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo
    http://arxiv.org/abs/2105.08275v1

    • [cs.DC]TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
    JunKyu Lee, Blesson Varghese, Roger Woods, Hans Vandierendonck
    http://arxiv.org/abs/2105.08668v1

    • [cs.DC]TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
    Yangjie Qi, Shuo Zhang, Tarek M. Taha
    http://arxiv.org/abs/2105.08239v1

    • [cs.DL]A Measure of Research Taste
    Vladlen Koltun, David Hafner
    http://arxiv.org/abs/2105.08089v1

    • [cs.DL]Does publicity in the science press drive citations? A vindication of peer review
    Manolis Antonoyiannakis
    http://arxiv.org/abs/2105.08118v1

    • [cs.DL]Impact of 今日学术视野(2021.5.20) - 图3-index on authors ranking: An improvement to the h-index for lower-ranked author
    Parul Khurana, Kiran Sharma
    http://arxiv.org/abs/2105.08281v1

    • [cs.DS]A Scalable Concurrent Algorithm for Dynamic Connectivity
    Alexander Fedorov, Nikita Koval, Dan Alistarh
    http://arxiv.org/abs/2105.08098v1

    • [cs.DS]Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
    Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
    http://arxiv.org/abs/2105.08285v1

    • [cs.FL]Improved Ackermannian lower bound for the VASS reachability problem
    Sławomir Lasota
    http://arxiv.org/abs/2105.08551v1

    • [cs.IR]Entity-Based Query Interpretation
    Vaibhav Kasturia, Marcel Gohsen, Matthias Hagen
    http://arxiv.org/abs/2105.08581v1

    • [cs.IR]Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
    Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Roland Krumm, Madjid Fath
    http://arxiv.org/abs/2105.08442v1

    • [cs.IR]Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
    Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua
    http://arxiv.org/abs/2105.07585v2

    • [cs.IR]Path-based Deep Network for Candidate Item Matching in Recommenders
    Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
    http://arxiv.org/abs/2105.08246v1

    • [cs.IR]Wizard of Search Engine: Access to Information Through Conversations with Search Engines
    Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke
    http://arxiv.org/abs/2105.08301v1

    • [cs.IT]A note on the unbiased estimation of mutual information
    Jake Witter, Conor Houghton
    http://arxiv.org/abs/2105.08682v1

    • [cs.IT]AI Based Landscape Sensing Using Radio Signals
    Vijaya Yajnanarayana, Dongdong Huang, Deep Shrestha, Yi Geng, Ali Behravan, Erik Dahlman
    http://arxiv.org/abs/2105.08436v1

    • [cs.IT]Analysis of Low-Density Parity-Check Codes over Finite Integer Rings for the Lee Channel
    Jessica Bariffi, Hannes Bartz, Gianluigi Liva, Joachim Rosenthal
    http://arxiv.org/abs/2105.08372v1

    • [cs.IT]IRS-Aided Wireless Relaying: Optimal Deployment and Capacity Scaling
    Zhenyu Kang, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2105.08495v1

    • [cs.IT]Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network
    Weihua Wu, Runzi Liu, Qinghai Yang, Tony Q. S. Quek
    http://arxiv.org/abs/2105.08324v1

    • [cs.IT]New LCD MDS codes of non-Reed-Solomon type
    Yansheng Wu, Jong Yoon Hyun, Yoonjin Lee
    http://arxiv.org/abs/2105.08263v1

    • [cs.IT]Timely Private Information Retrieval
    Karim Banawan, Ahmed Arafa, Sennur Ulukus
    http://arxiv.org/abs/2105.08713v1

    • [cs.IT]Two new infinite classes of APN functions
    Kangquan Li, Yue Zhou, Chunlei Li, Longjiang Qu
    http://arxiv.org/abs/2105.08464v1

    • [cs.IT]Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces
    Emil Björnson, Luca Sanguinetti
    http://arxiv.org/abs/2105.08477v1

    • [cs.IT]Weakly Private Information Retrieval Under Rényi Divergence
    Jun-Woo Tak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No
    http://arxiv.org/abs/2105.08114v1

    • [cs.LG]A Clustering Framework for Residential Electric Demand Profiles
    Mayank Jain, Tarek AlSkaif, Soumyabrata Dev
    http://arxiv.org/abs/2105.08537v1

    • [cs.LG]A multimodal deep learning framework for scalable content based visual media retrieval
    Ambareesh Ravi, Amith Nandakumar
    http://arxiv.org/abs/2105.08665v1

    • [cs.LG]ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework
    Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying
    http://arxiv.org/abs/2105.08643v1

    • [cs.LG]Adaptive ABAC Policy Learning: A Reinforcement Learning Approach
    Leila Karimi, Mai Abdelhakim, James Joshi
    http://arxiv.org/abs/2105.08587v1

    • [cs.LG]An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
    Nishanth. Anandanadarajah, C. H. Chu, R. Loganantharaj
    http://arxiv.org/abs/2105.08100v1

    • [cs.LG]Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
    Alejandro Puente-Castro, Enrique Fernandez-Blanco, Alejandro Pazos, Cristian R. Munteanu
    http://arxiv.org/abs/2105.08446v1

    • [cs.LG]Can Self Reported Symptoms Predict Daily COVID-19 Cases?
    Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar
    http://arxiv.org/abs/2105.08321v1

    • [cs.LG]DCAP: Deep Cross Attentional Product Network for User Response Prediction
    Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng
    http://arxiv.org/abs/2105.08649v1

    • [cs.LG]DRIVE: One-bit Distributed Mean Estimation
    Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
    http://arxiv.org/abs/2105.08339v1

    • [cs.LG]Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems
    Hao Yan, Nurretin Dorukhan Sergin, William A. Brenneman, Stephen Joseph Lange, Shan Ba
    http://arxiv.org/abs/2105.08180v1

    • [cs.LG]Dependent Multi-Task Learning with Causal Intervention for Image Captioning
    Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
    http://arxiv.org/abs/2105.08573v1

    • [cs.LG]Enhancement of prediction algorithms by betting
    Vladimir Vovk
    http://arxiv.org/abs/2105.08669v1

    • [cs.LG]Fast and Slow Learning of Recurrent Independent Mechanisms
    Kanika Madan, Rosemary Nan Ke, Anirudh Goyal, Bernhard Bernhard Schölkopf, Yoshua Bengio
    http://arxiv.org/abs/2105.08710v1

    • [cs.LG]Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
    Dequan Wang, An Ju, Evan Shelhamer, David Wagner, Trevor Darrell
    http://arxiv.org/abs/2105.08714v1

    • [cs.LG]Fixed 今日学术视野(2021.5.20) - 图4-VAE Encoding for Curious Exploration in Complex 3D Environments
    Auguste Lehuger, Matthew Crosby
    http://arxiv.org/abs/2105.08568v1

    • [cs.LG]Independent Asymmetric Embedding Model for Cascade Prediction on Social Network
    Wenjin Xie, Xiaomeng Wang, Tao Jia
    http://arxiv.org/abs/2105.08291v1

    • [cs.LG]Interpretable Time-series Representation Learning With Multi-Level Disentanglement
    Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
    http://arxiv.org/abs/2105.08179v1

    • [cs.LG]Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection
    Sergey Afanasiev, Anastasiya Smirnova, Diana Kotereva
    http://arxiv.org/abs/2105.08120v1

    • [cs.LG]Label Inference Attacks from Log-loss Scores
    Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
    http://arxiv.org/abs/2105.08266v1

    • [cs.LG]Learning and Certification under Instance-targeted Poisoning
    Ji Gao, Amin Karbasi, Mohammad Mahmoody
    http://arxiv.org/abs/2105.08709v1

    • [cs.LG]Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme
    Noura Dridi, Lucas Drumetz, Ronan Fablet
    http://arxiv.org/abs/2105.08449v1

    • [cs.LG]Learning to Route via Theory-Guided Residual Network
    Chang Liu, Guanjie Zheng, Zhenhui Li
    http://arxiv.org/abs/2105.08279v1

    • [cs.LG]Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
    Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu
    http://arxiv.org/abs/2105.08566v1

    • [cs.LG]Multiclass Classification using dilute bandit feedback
    Gaurav Batra, Naresh Manwani
    http://arxiv.org/abs/2105.08093v1

    • [cs.LG]Oneshot Differentially Private Top-k Selection
    Gang Qiao, Weijie J. Su, Li Zhang
    http://arxiv.org/abs/2105.08233v1

    • [cs.LG]Online Multimodal Transportation Planning using Deep Reinforcement Learning
    Amirreza Farahani, Laura Genga, Remco Dijkman
    http://arxiv.org/abs/2105.08374v1

    • [cs.LG]PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence
    Justin Sirignano, Jonathan MacArt, Konstantinos Spiliopoulos
    http://arxiv.org/abs/2105.08633v1

    • [cs.LG]Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
    Samuel Daulton, Maximilian Balandat, Eytan Bakshy
    http://arxiv.org/abs/2105.08195v1

    • [cs.LG]Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
    Vivek Jayaram, John Thickstun
    http://arxiv.org/abs/2105.08164v1

    • [cs.LG]Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
    Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
    http://arxiv.org/abs/2105.08268v1

    • [cs.LG]Relative Positional Encoding for Transformers with Linear Complexity
    Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu, Umut Şimşekli, Yi-Hsuan Yang, Gaël Richard
    http://arxiv.org/abs/2105.08399v1

    • [cs.LG]Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
    Huixuan Chi, Yuying Wang, Qinfen Hao, Hong Xia
    http://arxiv.org/abs/2105.08330v1

    • [cs.LG]Sample Efficient Linear Meta-Learning by Alternating Minimization
    Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
    http://arxiv.org/abs/2105.08306v1

    • [cs.LG]Sparsity Prior Regularized Q-learning for Sparse Action Tasks
    Jing-Cheng Pang, Tian Xu, Sheng-Yi Jiang, Yu-Ren Liu, Yang Yu
    http://arxiv.org/abs/2105.08666v1

    • [cs.LG]Sparta: Spatially Attentive and Adversarially Robust Activation
    Qing Guo, Felix Juefei-Xu, Changqing Zhou, Yang Liu, Song Wang
    http://arxiv.org/abs/2105.08269v1

    • [cs.LG]Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection
    Wenkai Li, Wenbo Hu, Ning Chen, Cheng Feng
    http://arxiv.org/abs/2105.08397v1

    • [cs.LG]Synthesising Multi-Modal Minority Samples for Tabular Data
    Sajad Darabi, Yotam Elor
    http://arxiv.org/abs/2105.08204v1

    • [cs.LG]The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality
    Vincent Froese, Christoph Hertrich, Rolf Niedermeier
    http://arxiv.org/abs/2105.08675v1

    • [cs.LG]Transformers à Grande Vitesse
    Farid Arthaud, Guillaume Lecoeur, Alban Pierre
    http://arxiv.org/abs/2105.08526v1

    • [cs.LG]Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
    Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
    http://arxiv.org/abs/2105.08140v1

    • [cs.LG]Univariate Long-Term Municipal Water Demand Forecasting
    Blake VanBerlo, Matthew A. S. Ross, Daniel Hsia
    http://arxiv.org/abs/2105.08486v1

    • [cs.LG]Zero-Shot Recommender Systems
    Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang
    http://arxiv.org/abs/2105.08318v1

    • [cs.LG]Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
    Thorben Funke, Megha Khosla, Avishek Anand
    http://arxiv.org/abs/2105.08621v1

    • [cs.MA]BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling
    Dave Cliff
    http://arxiv.org/abs/2105.08310v1

    • [cs.MA]The Confluence of Networks, Games and Learning
    Tao Li, Guanze Peng, Quanyan Zhu, Tamer Basar
    http://arxiv.org/abs/2105.08158v1

    • [cs.NE]Livewired Neural Networks: Making Neurons That Fire Together Wire Together
    Thomas Schumacher
    http://arxiv.org/abs/2105.08111v1

    • [cs.NI]AI-Native Network Slicing for 6G Networks
    Wen Wu, Conghao Zhou, Mushu Li, Huaqing Wu, Haibo Zhou, Ning Zhang, Xuemin, Shen, Weihua Zhuang
    http://arxiv.org/abs/2105.08576v1

    • [cs.RO]Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
    Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan Hurst
    http://arxiv.org/abs/2105.08328v1

    • [cs.RO]Camera Frame Misalignment in a Teleoperated Eye-in-Hand Robot: Effects and a Simple Correction Method
    Liao Wu, Fangwen Yu, Jiaole Wang, Thanh Nho Do
    http://arxiv.org/abs/2105.08466v1

    • [cs.RO]Differentiable Factor Graph Optimization for Learning Smoothers
    Brent Yi, Michelle Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg
    http://arxiv.org/abs/2105.08257v1

    • [cs.RO]GPR: Grasp Pose Refinement Network for Cluttered Scenes
    Wei Wei, Yongkang Luo, Fuyu Li, Guangyun Xu, Jun Zhong, Wanyi Li, Peng Wang
    http://arxiv.org/abs/2105.08502v1

    • [cs.RO]Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
    Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar
    http://arxiv.org/abs/2105.08601v1

    • [cs.RO]Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories
    Neşet Ünver Akmandor, Taşkın Padır
    http://arxiv.org/abs/2105.08145v1

    • [cs.RO]Robust Physics-Based Manipulation by Interleaving Open and Closed-Loop Execution
    Wisdom C. Agboh, Mehmet R. Dogar
    http://arxiv.org/abs/2105.08325v1

    • [cs.RO]Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception
    Zixu Zhang, Jaime F. Fisac
    http://arxiv.org/abs/2105.08169v1

    • [cs.RO]StRETcH: a Soft to Resistive Elastic Tactile Hand
    Carolyn Matl, Josephine Koe, Ruzena Bajcsy
    http://arxiv.org/abs/2105.08154v1

    • [cs.RO]Toward Designing Social Human-Robot Interactions for Deep Space Exploration
    Huili Chen, Cynthia Breazeal
    http://arxiv.org/abs/2105.08631v1

    • [cs.RO]Zero Dynamics, Pendulum Models, and Angular Momentum in Feedback Control of Bipedal Locomotion
    Yukai Gong, Jessy Grizzle
    http://arxiv.org/abs/2105.08170v1

    • [cs.SI]Butterfly-Core Community Search over Labeled Graphs
    Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong
    http://arxiv.org/abs/2105.08628v1

    • [cs.SI]Divided We Rule: Influencer Polarization on Twitter During Political Crises in India
    Saloni Dash, Dibyendu Mishra, Gazal Shekhawat, Joyojeet Pal
    http://arxiv.org/abs/2105.08361v1

    • [cs.SI]Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
    Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning, Sajal K Das, Chris Nugent, Devin Burns, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White
    http://arxiv.org/abs/2105.08165v1

    • [eess.IV]A parameter refinement method for Ptychography based on Deep Learning concepts
    Francesco Guzzi, George Kourousias, Fulvio Billè, Roberto Pugliese, Alessandra Gianoncelli, Sergio Carrato
    http://arxiv.org/abs/2105.08058v1

    • [eess.IV]Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
    Eric Z. Chen, Yongquan Ye, Xiao Chen, Jingyuan Lyu, Zhongqi Zhang, Yichen Hu, Terrence Chen, Jian Xu, Shanhui Sun
    http://arxiv.org/abs/2105.08163v1

    • [eess.IV]COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs
    Vignav Ramesh, Blaine Rister, Daniel L. Rubin
    http://arxiv.org/abs/2105.08147v1

    • [eess.IV]Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
    Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun
    http://arxiv.org/abs/2105.08157v1

    • [eess.IV]EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
    Tianchen Wang, Zhihe Li, Meiping Huang, Jian Zhuang, Shanshan Bi, Jiawei Zhang, Yiyu Shi, Hongwen Fei, Xiaowei Xu
    http://arxiv.org/abs/2105.08267v1

    • [eess.IV]Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
    Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen
    http://arxiv.org/abs/2105.08629v1

    • [eess.IV]Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
    Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide
    http://arxiv.org/abs/2105.08630v1

    • [eess.IV]Multi-view Contrastive Coding of Remote Sensing Images at Pixel-level
    Yuxing Chen
    http://arxiv.org/abs/2105.08501v1

    • [eess.IV]Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
    Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala
    http://arxiv.org/abs/2105.08199v1

    • [eess.IV]Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
    Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang
    http://arxiv.org/abs/2105.08175v1

    • [eess.IV]Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet
    Mahyar Bolhassani
    http://arxiv.org/abs/2105.08382v1

    • [eess.IV]UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
    Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi
    http://arxiv.org/abs/2105.08590v1

    • [math.OA]Curvature-dimension conditions for symmetric quantum Markov semigroups
    Melchior Wirth, Haonan Zhang
    http://arxiv.org/abs/2105.08303v1

    • [math.OC]A Simple Search Problem
    Marshall Buck, Doug Wiedemann
    http://arxiv.org/abs/2105.08176v1

    • [math.OC]Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements
    Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
    http://arxiv.org/abs/2105.08232v1

    • [math.ST]A sparse stochastic block model with two unequal communities
    B. J. K. Kleijn, J. van Waaij
    http://arxiv.org/abs/2105.08478v1

    • [math.ST]Neural networks to predict survival from RNA-seq data in oncology
    Mathilde Sautreuil, Sarah Lemler, Paul-Henry Cournède
    http://arxiv.org/abs/2105.08338v1

    • [math.ST]Parametrization invariant interpretation of priors and posteriors
    Jesus Cerquides
    http://arxiv.org/abs/2105.08304v1

    • [physics.ao-ph]Forecasting Significant Wave Heights in Oceanic Waters
    Pujan Pokhrel, Elias Ioup, Md Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov
    http://arxiv.org/abs/2105.08583v1

    • [physics.ao-ph]Stochastic Downscaling to Chaotic Weather Regimes using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance
    Rachel Prudden, Niall Robinson, Peter Challenor, Richard Everson
    http://arxiv.org/abs/2105.08188v1

    • [physics.comp-ph]Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
    Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs
    http://arxiv.org/abs/2105.08351v1

    • [q-bio.QM]Classifying Contaminated Cell Cultures using Time Series Features
    Laura L. Tupper, Charles R. Keese, David S. Matteson
    http://arxiv.org/abs/2105.08512v1

    • [q-fin.RM]Liquidity Stress Testing in Asset Management — Part 2. Modeling the Asset Liquidity Risk
    Thierry Roncalli, Amina Cherief, Fatma Karray-Meziou, Margaux Regnault
    http://arxiv.org/abs/2105.08377v1

    • [q-fin.ST]Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices
    Tim Leung, Theodore Zhao
    http://arxiv.org/abs/2105.08133v1

    • [quant-ph]Neural Error Mitigation of Near-Term Quantum Simulations
    Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
    http://arxiv.org/abs/2105.08086v1

    • [stat.AP]Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment
    Anna Zink, Sherri Rose
    http://arxiv.org/abs/2105.08493v1

    • [stat.AP]Kalman filtering with empirical noise models
    Matti Raitoharju, Henri Nurminen, Demet Cilden-Guler, Simo Särkkä
    http://arxiv.org/abs/2105.08514v1

    • [stat.ME]An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling
    Raphaël Jauslin, Yves Tillé
    http://arxiv.org/abs/2105.08379v1

    • [stat.ME]Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
    Sourabh Bhattacharya
    http://arxiv.org/abs/2105.08451v1

    • [stat.ME]Decoupling P-NARX models using filtered CPD
    Jan Decuyper, David Westwick, Kiana Karami, Johan Schoukens
    http://arxiv.org/abs/2105.08530v1

    • [stat.ME]Distribution-Free Changepoint Detection Tests Based on t
    1000
    he Breaking of Records
    Jorge Castillo-Mateo
    http://arxiv.org/abs/2105.08186v1

    • [stat.ME]Estimation of Population Size with Heterogeneous Catchability and Behavioural Dependence: Applications to Air and Water Borne Disease Surveillance
    Kiranmoy Chatterjee, Prajamitra Bhuyan
    http://arxiv.org/abs/2105.08679v1

    • [stat.ME]Flexible Bayesian Modeling of Counts: Constructing Penalized Complexity Priors
    Mahsa Nadifar, Hossein Baghishani, Thomas Kneib, Afshin Fallah
    http://arxiv.org/abs/2105.08686v1

    • [stat.ME]High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion
    Runxiong Wu, Chang Deng, Xin Chen
    http://arxiv.org/abs/2105.08230v1

    • [stat.ME]Maximum profile binomial likelihood estimation for the semiparametric Box—Cox power transformation model
    Pengfei Li, Tao Yu, Baojiang Chen, Jing Qin
    http://arxiv.org/abs/2105.08677v1

    • [stat.ME]Shape Analysis of Functional Data with Elastic Partial Matching
    Darshan Bryner, Anuj Srivastava
    http://arxiv.org/abs/2105.08604v1

    • [stat.ML]Detecting Adversarial Examples with Bayesian Neural Network
    Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee
    http://arxiv.org/abs/2105.08620v1

    • [stat.ML]Distributionally Robust Learning in Heterogeneous Contexts
    Muhammad Osama, Dave Zachariah, Petre Stoica
    http://arxiv.org/abs/2105.08532v1

    • [stat.ML]Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
    Krishnakumar Balasubramanian
    http://arxiv.org/abs/2105.08678v1

    • [stat.ML]On Convex Clustering Solutions
    Canh Hao Nguyen, Hiroshi Mamitsuka
    http://arxiv.org/abs/2105.08348v1

    • [stat.ML]Optimal radial basis for density-based atomic representations
    Alexander Goscinski, Félix Musil, Sergey Pozdnyakov, Michele Ceriotti
    http://arxiv.org/abs/2105.08717v1

    • [stat.ML]Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
    T. Tony Cai, Rong Ma
    http://arxiv.org/abs/2105.07536v2