cond-mat.dis-nn - 无序系统与神经网络
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CG - 计算几何学
    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.PL - 编程语言
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    math.OC - 优化与控制
    physics.flu-dyn - 流体动力学
    physics.soc-ph - 物理学与社会
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Improved Neuronal Ensemble Inference with Generative Model and MCMC
    • [cs.AI]BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
    • [cs.AI]CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
    • [cs.AI]Classifying concepts via visual properties
    • [cs.AI]Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context
    • [cs.AI]Diversity in Kemeny Rank Aggregation: A Parameterized Approach
    • [cs.AI]Evaluating the Correctness of Explainable AI Algorithms for Classification
    • [cs.AI]Federated Artificial Intelligence for Unified Credit Assessment
    • [cs.AI]Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
    • [cs.AI]Objective-aware Traffic Simulation via Inverse Reinforcement Learning
    • [cs.AI]Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
    • [cs.AI]Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics
    • [cs.AR]Dual-side Sparse Tensor Core
    • [cs.CG]Unreliable Sensors for Reliable Efficient Robots
    • [cs.CL]A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report
    • [cs.CL]A comprehensive comparative evaluation and analysis of Distributional Semantic Models
    • [cs.CL]A practical introduction to the Rational Speech Act modeling framework
    • [cs.CL]Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
    • [cs.CL]Computational Morphology with Neural Network Approaches
    • [cs.CL]Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
    • [cs.CL]Dependency Parsing with Bottom-up Hierarchical Pointer Networks
    • [cs.CL]Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
    • [cs.CL]Head-driven Phrase Structure Parsing in O(今日学术视野(2021.5.22) - 图1) Time Complexity
    • [cs.CL]KLUE: Korean Language Understanding Evaluation
    • [cs.CL]LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures
    • [cs.CL]MLBiNet: A Cross-Sentence Collective Event Detection Network
    • [cs.CL]Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
    • [cs.CL]TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
    • [cs.CL]Towards Detecting Need for Empathetic Response in Motivational Interviewing
    • [cs.CL]Towards Target-dependent Sentiment Classification in News Articles
    • [cs.CL]Unified Dual-view Cognitive Model for Interpretable Claim Verification
    • [cs.CR]Separation of Powers in Federated Learning
    • [cs.CR]User Label Leakage from
    8ae
    Gradients in Federated Learning
    • [cs.CV]A Connected Component Labelling algorithm for multi-pixel per clock cycle video strea
    • [cs.CV]A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos
    • [cs.CV]A low-rank representation for unsupervised registration of medical images
    • [cs.CV]AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection
    • [cs.CV]An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction
    • [cs.CV]An Empirical Study of Vehicle Re-Identification on the AI City Challenge
    • [cs.CV]AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
    • [cs.CV]Anabranch Network for Camouflaged Object Segmentation
    • [cs.CV]Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
    • [cs.CV]Birds of a Feather: Capturing Avian Shape Models from Images
    • [cs.CV]BodyPressure — Inferring Body Pose and Contact Pressure from a Depth Image
    • [cs.CV]Content-Augmented Feature Pyramid Network with Light Linear Transformers
    • [cs.CV]Content-adaptive Representation Learning for Fast Image Super-resolution
    • [cs.CV]Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification
    • [cs.CV]DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry
    • [cs.CV]DeepCAD: A Deep Generative Network for Computer-Aided Design Models
    • [cs.CV]DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
    • [cs.CV]Egocentric Activity Recognition and Localization on a 3D Map
    • [cs.CV]End-to-End Unsupervised Document Image Blind Denoising
    • [cs.CV]Endless Loops: Detecting and Animating Periodic Patterns in Still Images
    • [cs.CV]Face, Body, Voice: Video Person-Clustering with Multiple Modalities
    • [cs.CV]Flexible Compositional Learning of Structured Visual Concepts
    • [cs.CV]Generalized Few-Shot Object Detection without Forgetting
    • [cs.CV]Intra-Model Collaborative Learning of Neural Networks
    • [cs.CV]M4Depth: A motion-based approach for monocular depth estimation on video sequences
    • [cs.CV]More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints
    • [cs.CV]Multi-Person Extreme Motion Prediction with Cross-Interaction Attention
    • [cs.CV]Multi-Perspective Anomaly Detection
    • [cs.CV]Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment
    • [cs.CV]Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy
    • [cs.CV]Simple Transparent Adversarial Examples
    • [cs.CV]Superpixel-based Domain-Knowledge Infusion in Computer Vision
    • [cs.CV]Unsupervised learning of text line segmentationby differentiating coarse patterns
    • [cs.CV]VTNet: Visual Transformer Network for Object Goal Navigation
    • [cs.CV]Weakly-Supervised Physically Unconstrained Gaze Estimation
    • [cs.CY]Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTube
    • [cs.CY]Educational Robotics in Online Distance Learning: An Experience from Primary School
    • [cs.CY]Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
    • [cs.CY]Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches
    • [cs.CY]Informatiekunde — Curriculum 2003
    • [cs.CY]Informatiekunde — Visie 2003
    • [cs.CY]Newsalyze: Enabling News Consumers to Understand Media Bias
    • [cs.DB]Stratified Data Integration
    • [cs.DB]iTelos- Building reusable knowledge graphs
    • [cs.DC]Diversity, Fairness, and Sustainability in Population Protocols
    • [cs.DC]Fast Nonblocking Persistence for Concurrent Data Structures
    • [cs.DC]Fully Adaptive Self-Stabilizing Transformer for LCL Problems
    • [cs.DC]Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications
    • [cs.DC]Stochastic Coordination in Heterogeneous Load Balancing Systems
    • [cs.DC]ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs
    • [cs.DC]Towards an Arrow-native Storage System
    • [cs.DS]On the Parameterized Complexity of Polytree Learning
    • [cs.GT]Guaranteeing Maximin Shares: Some Agents Left Behind
    • [cs.GT]Surprisingly Popular Voting Recovers Rankings, Surprisingly!
    • [cs.HC]Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces
    • [cs.IR]Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
    • [cs.IR]FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
    • [cs.IR]Interactive Query Formulation using Query By Navigation
    • [cs.IR]Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
    • [cs.IR]Probabilistic and Variational Recommendation Denoising
    • [cs.IR]Towards Personalized Fairness based on Causal Notion
    • [cs.IR]Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
    • [cs.IT]CLARQ: A Dynamic ARQ Solution for Ultra-high Closed-loop Reliability
    • [cs.IT]Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning
    • [cs.IT]Communication-Efficient Distributed SGD using Preamble-based Random Access
    • [cs.IT]Constacyclic Codes over Commutative Finite Principal Ideal Rings
    • [cs.IT]Database Matching Under Column Deletions
    • [cs.IT]Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler
    • [cs.IT]Low-complexity Multicast Beamforming for Multi-stream Multi-group Communications
    • [cs.IT]Minimax Robust Detection: Classic Results and Recent Advances
    • [cs.IT]Multiple Support Recovery Using Very Few Measurements Per Sample
    • [cs.IT]Pilot Assignment Schemes for Cell-Free Massive MIMO Systems
    • [cs.IT]Semantic Security for Indoor THz-Wireless Communication
    • [cs.IT]Uncoded Binary Signaling through Modulo AWGN Channel
    • [cs.LG]Aggregate Learning for Mixed Frequency Data
    • [cs.LG]An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network
    • [cs.LG]Balancing Robustness and Sensitivity using Feature Contrastive Learning
    • [cs.LG]Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
    • [cs.LG]Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles
    • [cs.LG]DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
    • [cs.LG]Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
    • [cs.LG]DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
    • [cs.LG]Explainable Activity Recognition for Smart Home Systems
    • [cs.LG]Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
    • [cs.LG]Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
    • [cs.LG]Generative Adversarial Neural Architecture Search
    • [cs.LG]Graph Sanitation with Application to Node Classification
    • [cs.LG]Heterogeneous Contrastive Learning
    • [cs.LG]Incentivized Bandit Learning with Self-Reinforcing User Preferences
    • [cs.LG]L1 Regression with Lewis Weights Subsampling
    • [cs.LG]Logarithmic landscape and power-law escape rate of SGD
    • [cs.LG]Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
    • [cs.LG]Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series
    • [cs.LG]Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
    • [cs.LG]Quantifying sources of uncertainty in drug discovery predictions with probabilistic models
    • [cs.LG]See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
    • [cs.LG]Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework
    • [cs.LG]Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes
    • [cs.PL]Decomposing reverse-mode automatic differentiation
    • [cs.RO]A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver
    • [cs.RO]A User-Centered Interface for Enhanced Conjoined Human-Robot Actions in Industrial Tasks
    • [cs.RO]Detecting and Counting Oysters
    • [cs.RO]Efficient and Robust LiDAR-Based End-to-End Navigation
    • [cs.RO]Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
    • [cs.RO]Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach
    • [cs.RO]Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models
    • [cs.RO]Survey and Perspective on Social Emotions in Robotics
    • [cs.RO]Teat Pose Estimation via RGBD Segmentation for Automated Milking
    • [cs.RO]VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation
    • [cs.SD]High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
    • [cs.SD]Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction
    • [cs.SD]Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
    • [cs.SD]Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine
    • [cs.SD]Unsupervised Discriminative Learning of Sounds for Audio Event Classification
    • [cs.SE]DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
    • [cs.SE]Measuring Coding Challenge Competence With APPS
    • [cs.SI]A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
    • [cs.SI]A hybrid algorithm based on Community Detection and Multi-Attribute Decision-Making for Influence Maximization
    • [cs.SI]Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
    • [cs.SI]Size does not matter — in the virtual world. Comparing online social networking behaviour with business success of entrepreneurs
    • [cs.SI]The impact of virtual mirroring on customer satisfaction
    • [eess.IV]Anchor-based Plain Net for Mobile Image Super-Resolution
    • [eess.IV]Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
    • [eess.IV]DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
    • [eess.IV]Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation
    • [eess.IV]FVC: A New Framework towards Deep Video Compression in Feature Space
    • [eess.IV]Medical Image Segmentation using Squeeze-and-Expansion Transformers
    • [eess.IV]POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound
    • [eess.IV]Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
    • [eess.IV]Semantic segmentation of multispectral photoacoustic images using deep learning
    • [math.OC]A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
    • [math.OC]Trilevel and Multilevel Optimization using Monotone Operator Theory
    • [physics.flu-dyn]Physics-informed neural networks (PINNs) for fluid mechanics: A review
    • [physics.soc-ph]Criticality and Popularity in Social Networks
    • [stat.AP]Double-Crossing Benford’s Law
    • [stat.AP]Exploring the structure of time-correlated model errors in the ECMWF Data Assimilation System
    • [stat.AP]More Generalizable Models For Sepsis Detection Under Covariate Shift
    • [stat.AP]Poisson Modeling and Predicting English Premier League Goal Scoring
    • [stat.AP]Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach
    • [stat.CO]Uncertainty quantification through Monte Carlo method in a cloud computing setting
    • [stat.CO]makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R
    • [stat.ME]A flexible Bayesian non-confounding spatial model for analysis of dispersed count data in clinical studies
    • [stat.ME]A ranked-based estimator of the mean past lifetime with its application
    • [stat.ME]Hierarchical Non-Stationary Temporal Gaussian Processes With 今日学术视野(2021.5.22) - 图2-Regularization
    • [stat.ME]Point estimation for adaptive trial designs
    • [stat.ME]Point process simulation of Generalised inverse Gaussian processes and estimation of the Jaeger Integral
    • [stat.ME]Robust Dynamic Mode Decomposition
    • [stat.ML]Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
    • [stat.ML]EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
    • [stat.ML]Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
    • [stat.ML]Neural networks with superexpressive activations and integer weights
    • [stat.ML]Nonlinear Hawkes Process with Gaussian Process Self Effects
    • [stat.ML]On the 今日学术视野(2021.5.22) - 图3-lazy version of Markov chains in estimation and testing problems

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

    • [cond-mat.dis-nn]Improved Neuronal Ensemble Inference with Generative Model and MCMC
    Shun Kimura, Keisuke Ota, Koujin Takeda
    http://arxiv.org/abs/2105.09679v1

    • [cs.AI]BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
    Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz
    http://arxiv.org/abs/2105.09574v1

    • [cs.AI]CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
    Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu
    http://arxiv.org/abs/2105.09914v1

    • [cs.AI]Classifying concepts via visual properties
    Fausto Giunchiglia, Mayukh Bagchi
    http://arxiv.org/abs/2105.09422v1

    • [cs.AI]Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context
    Thuy-Trinh Nguyen, Kellie Sim, Anthony To Yiu Kuen, Ronald R. O’donnell, Suan Tee Lim, Wenru Wang, Hoang D. Nguyen
    http://arxiv.org/abs/2105.09490v1

    • [cs.AI]Diversity in Kemeny Rank Aggregation: A Parameterized Approach
    Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf
    http://arxiv.org/abs/2105.09413v1

    • [cs.AI]Evaluating the Correctness of Explainable AI Algorithms for Classification
    Orcun Yalcin, Xiuyi Fan, Siyuan Liu
    http://arxiv.org/abs/2105.09740v1

    • [cs.AI]Federated Artificial Intelligence for Unified Credit Assessment
    Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen
    http://arxiv.org/abs/2105.09484v1

    • [cs.AI]Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
    Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
    http://arxiv.org/abs/2105.09637v1

    • [cs.AI]Objective-aware Traffic Simulation via Inverse Reinforcement Learning
    Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
    http://arxiv.org/abs/2105.09560v1

    • [cs.AI]Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
    Ethan Lim Ding Feng, Zhi-Wei Neo, Aaron William De Silva, Kellie Sim, Hong-Ray Tan, Thi-Thanh Nguyen, Karen Wei Ling Koh, Wenru Wang, Hoang D. Nguyen
    http://arxiv.org/abs/2105.09489v1

    • [cs.AI]Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics
    Maxence Mahe, Pierre Belamri, Jesus Bujalance Martin
    http://arxiv.org/abs/2105.09719v1

    • [cs.AR]Dual-side Sparse Tensor Core
    Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
    http://arxiv.org/abs/2105.09564v1

    • [cs.CG]Unreliable Sensors for Reliable Efficient Robots
    Adam Heriban, Sébastien Tixeuil
    http://arxiv.org/abs/2105.09667v1

    • [cs.CL]A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report
    Hans-Jürgen Profitlich, Daniel Sonntag
    http://arxiv.org/abs/2105.09702v1

    • [cs.CL]A comprehensive comparative evaluation and analysis of Distributional Semantic Models
    Alessandro Lenci, Magnus Sahlgren, Patrick Jeuniaux, Amaru Cuba Gyllensten, Martina Miliani
    http://arxiv.org/abs/2105.09825v1

    • [cs.CL]A practical introduction to the Rational Speech Act modeling framework
    Gregory Scontras, Michael Henry Tessler, Michael Franke
    http://arxiv.org/abs/2105.09867v1

    • [cs.CL]Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
    Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi
    http://arxiv.org/abs/2105.09509v1

    • [cs.CL]Computational Morphology with Neural Network Approaches
    Ling Liu
    http://arxiv.org/abs/2105.09404v1

    • [cs.CL]Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
    Xiao Pan, Mingxuan Wang, Liwei Wu, Lei Li
    http://arxiv.org/abs/2105.09501v1

    • [cs.CL]Dependency Parsing with Bottom-up Hierarchical Pointer Networks
    Daniel Fernández-González, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/2105.09611v1

    • [cs.CL]Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
    Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao
    http://arxiv.org/abs/2105.09392v1

    • [cs.CL]Head-driven Phrase Structure Parsing in O(今日学术视野(2021.5.22) - 图4) Time Complexity
    Zuchao Li, Junru Zhou, Hai Zhao, Kevin Parnow
    http://arxiv.org/abs/2105.09835v1

    • [cs.CL]KLUE: Korean Language Understanding Evaluation
    Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jungwoo Ha, Kyunghyun Cho Alice Oh Jungwoo Ha Kyunghyun Cho
    http://arxiv.org/abs/2105.09680v1

    • [cs.CL]LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures
    Yves Bestgen
    http://arxiv.org/abs/2105.09653v1

    • [cs.CL]MLBiNet: A Cross-Sentence Collective Event Detection Network
    Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen
    http://arxiv.org/abs/2105.09458v1

    • [cs.CL]Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
    Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2105.09543v1

    • [cs.CL]TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
    Danilo Dessi, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni
    http://arxiv.org/abs/2105.09632v1

    • [cs.CL]Towards Detecting Need for Empathetic Response in Motivational Interviewing
    Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni
    http://arxiv.org/abs/2105.09649v1

    • [cs.CL]Towards Target-dependent Sentiment Classification in News Articles
    Felix Hamborg, Karsten Donnay, Bela Gipp
    http://arxiv.org/abs/2105.09660v1

    • [cs.CL]Unified Dual-view Cognitive Model for Interpretable Claim Verification
    Lianwei Wu, Yuan Rao, Yuqian Lan, Ling Sun, Zhaoyin Qi
    http://arxiv.org/abs/2105.09567v1

    • [cs.CR]Separation of Powers in Federated Learning
    Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma
    http://arxiv.org/abs/2105.09400v1

    • [cs.CR]User Label Leakage from
    8ae
    Gradients in Federated Learning
    Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
    http://arxiv.org/abs/2105.09369v1

    • [cs.CV]A Connected Component Labelling algorithm for multi-pixel per clock cycle video strea
    Marcin Kowalczyk, Tomasz Kryjak
    http://arxiv.org/abs/2105.09658v1

    • [cs.CV]A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos
    Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
    http://arxiv.org/abs/2105.09783v1

    • [cs.CV]A low-rank representation for unsupervised registration of medical images
    Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang
    http://arxiv.org/abs/2105.09548v1

    • [cs.CV]AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection
    Li Wang, Wei Xiang, Ruhui Xue, Kaida Zou, Laili Zhu
    http://arxiv.org/abs/2105.09596v1

    • [cs.CV]An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction
    Pengxiang Ding, Jianqin Yin
    http://arxiv.org/abs/2105.09711v1

    • [cs.CV]An Empirical Study of Vehicle Re-Identification on the AI City Challenge
    Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li
    http://arxiv.org/abs/2105.09701v1

    • [cs.CV]AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
    Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James Hendler
    http://arxiv.org/abs/2105.09937v1

    • [cs.CV]Anabranch Network for Camouflaged Object Segmentation
    Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto
    http://arxiv.org/abs/2105.09451v1

    • [cs.CV]Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
    Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebők, Gerhard Weiss, Kurt Driessens, Mario Senden
    http://arxiv.org/abs/2105.09830v1

    • [cs.CV]Birds of a Feather: Capturing Avian Shape Models from Images
    Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger
    http://arxiv.org/abs/2105.09396v1

    • [cs.CV]BodyPressure — Inferring Body Pose and Contact Pressure from a Depth Image
    Henry M. Clever, Patrick Grady, Greg Turk, Charles C. Kemp
    http://arxiv.org/abs/2105.09936v1

    • [cs.CV]Content-Augmented Feature Pyramid Network with Light Linear Transformers
    Yongxiang Gu, Xiaolin Qin, Yuncong Peng, Lu Li
    http://arxiv.org/abs/2105.09464v1

    • [cs.CV]Content-adaptive Representation Learning for Fast Image Super-resolution
    Yukai Shi, Jinghui Qin
    http://arxiv.org/abs/2105.09645v1

    • [cs.CV]Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification
    Haoyue Bai, Song Wen, S. -H. Gary Chan
    http://arxiv.org/abs/2105.09684v1

    • [cs.CV]DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry
    Ran Zhu, Mingkun Yang, Wang Liu, Rujun Song, Bo Yan, Zhuoling Xiao
    http://arxiv.org/abs/2105.09899v1

    • [cs.CV]DeepCAD: A Deep Generative Network for Computer-Aided Design Models
    Rundi Wu, Chang Xiao, Changxi Zheng
    http://arxiv.org/abs/2105.09492v1

    • [cs.CV]DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
    William McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee
    http://arxiv.org/abs/2105.09880v1

    • [cs.CV]Egocentric Activity Recognition and Localization on a 3D Map
    Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li
    http://arxiv.org/abs/2105.09544v1

    • [cs.CV]End-to-End Unsupervised Document Image Blind Denoising
    Mehrdad J Gangeh, Marcin Plata, Hamid Motahari, Nigel P Duffy
    http://arxiv.org/abs/2105.09437v1

    • [cs.CV]Endless Loops: Detecting and Animating Periodic Patterns in Still Images
    Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried
    http://arxiv.org/abs/2105.09374v1

    • [cs.CV]Face, Body, Voice: Video Person-Clustering with Multiple Modalities
    Andrew Brown, Vicky Kalogeiton, Andrew Zisserman
    http://arxiv.org/abs/2105.09939v1

    • [cs.CV]Flexible Compositional Learning of Structured Visual Concepts
    Yanli Zhou, Brenden M. Lake
    http://arxiv.org/abs/2105.09848v1

    • [cs.CV]Generalized Few-Shot Object Detection without Forgetting
    Zhibo Fan, Yuchen Ma, Zeming Li, Jian Sun
    http://arxiv.org/abs/2105.09491v1

    • [cs.CV]Intra-Model Collaborative Learning of Neural Networks
    Shijie Fang, Tong Lin
    http://arxiv.org/abs/2105.09590v1

    • [cs.CV]M4Depth: A motion-based approach for monocular depth estimation on video sequences
    Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
    http://arxiv.org/abs/2105.09847v1

    • [cs.CV]More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints
    Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas
    http://arxiv.org/abs/2105.09597v1

    • [cs.CV]Multi-Person Extreme Motion Prediction with Cross-Interaction Attention
    Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer
    http://arxiv.org/abs/2105.08825v2

    • [cs.CV]Multi-Perspective Anomaly Detection
    Manav Madan, Peter Jakob, Tobias Schmid-Schirling, Abhinav Valada
    http://arxiv.org/abs/2105.09903v1

    • [cs.CV]Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment
    John K. Tsotsos, Jun Luo
    http://arxiv.org/abs/2105.09934v1

    • [cs.CV]Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy
    Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen
    http://arxiv.org/abs/2105.09737v1

    • [cs.CV]Simple Transparent Adversarial Examples
    Jaydeep Borkar, Pin-Yu Chen
    http://arxiv.org/abs/2105.09685v1

    • [cs.CV]Superpixel-based Domain-Knowledge Infusion in Computer Vision
    Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash
    http://arxiv.org/abs/2105.09448v1

    • [cs.CV]Unsupervised learning of text line segmentationby differentiating coarse patterns
    Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana
    http://arxiv.org/abs/2105.09405v1

    • [cs.CV]VTNet: Visual Transformer Network for Object Goal Navigation
    Heming Du, Xin Yu, Liang Zheng
    http://arxiv.org/abs/2105.09447v1

    • [cs.CV]Weakly-Supervised Physically Unconstrained Gaze Estimation
    Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
    http://arxiv.org/abs/2105.09803v1

    • [cs.CY]Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTube
    Kostantinos Papadamou
    http://arxiv.org/abs/2105.09819v1

    • [cs.CY]Educational Robotics in Online Distance Learning: An Experience from Primary School
    Christian Giang, Lucio Negrini
    http://arxiv.org/abs/2105.09700v1

    • [cs.CY]Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias
    Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp
    http://arxiv.org/abs/2105.09640v1

    • [cs.CY]Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches
    Spyridon Doukakis, Panagiotis Vlamos
    http://arxiv.org/abs/2105.09779v1

    • [cs.CY]Informatiekunde — Curriculum 2003
    V. Kamphuis, H. A. Proper
    http://arxiv.org/abs/2105.09311v1

    • [cs.CY]Informatiekunde — Visie 2003
    V. Kamphuis, H. A. Proper
    http://arxiv.org/abs/2105.09310v1

    • [cs.CY]Newsalyze: Enabling News Consumers to Understand Media Bias
    Felix Hamborg, Anastasia Zhukova, Karsten Donnay, Bela Gipp
    http://arxiv.org/abs/2105.09672v1

    • [cs.DB]Stratified Data Integration
    Fausto Giunchiglia, Alessio Zamboni, Mayukh Bagchi, Simone Bocca
    http://arxiv.org/abs/2105.09432v1

    • [cs.DB]iTelos- Building reusable knowledge graphs
    Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli, Mayukh Bagchi, Alessio Zamboni
    http://arxiv.org/abs/2105.09418v1

    • [cs.DC]Diversity, Fairness, and Sustainability in Population Protocols
    Nan Kang, Frederik Mallmann-Trenn, Nicolás Rivera
    http://arxiv.org/abs/2105.09926v1

    • [cs.DC]Fast Nonblocking Persistence for Concurrent Data Structures
    Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott
    http://arxiv.org/abs/2105.09508v1

    • [cs.DC]Fully Adaptive Self-Stabilizing Transformer for LCL Problems
    Shimon Bitton, Yuval Emek, Taisuke Izumi, Shay Kutten
    http://arxiv.org/abs/2105.09756v1

    • [cs.DC]Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications
    Mohak Chadha, Michael Gerndt
    http://arxiv.org/abs/2105.09642v1

    • [cs.DC]Stochastic Coordination in Heterogeneous Load Balancing Systems
    Guy Goren, Shay Vargaftik, Yoram Moses
    http://arxiv.org/abs/2105.09389v1

    • [cs.DC]ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs
    Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
    http://arxiv.org/abs/2105.09578v1

    • [cs.DC]Towards an Arrow-native Storage System
    Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn
    http://arxiv.org/abs/2105.09894v1

    • [cs.DS]On the Parameterized Complexity of Polytree Learning
    Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz
    http://arxiv.org/abs/2105.09675v1

    • [cs.GT]Guaranteeing Maximin Shares: Some Agents Left Behind
    Hadi Hosseini, Andrew Searns
    http://arxiv.org/abs/2105.09383v1

    • [cs.GT]Surprisingly Popular Voting Recovers Rankings, Surprisingly!
    Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
    http://arxiv.org/abs/2105.09386v1

    • [cs.HC]Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces
    Soheil Gholami, Marta Lorenzini, Elena De Momi, Arash Ajoudani
    http://arxiv.org/abs/2105.09809v1

    • [cs.IR]Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
    Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides
    http://arxiv.org/abs/2105.09592v1

    • [cs.IR]FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
    Aditi Singh, Suhas Jayaram Subramanya, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri
    http://arxiv.org/abs/2105.09613v1

    • [cs.IR]Interactive Query Formulation using Query By Navigation
    H. A. Proper
    http://arxiv.org/abs/2105.09562v1

    • [cs.IR]Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
    Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
    http://arxiv.org/abs/2105.09816v1

    • [cs.IR]Probabilistic and Variational Recommendation Denoising
    Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon Jose, Fuli Feng
    http://arxiv.org/abs/2105.09605v1

    • [cs.IR]Towards Personalized Fairness based on Causal Notion
    Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
    http://arxiv.org/abs/2105.09829v1

    • [cs.IR]Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
    Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam
    http://arxiv.org/abs/2105.09710v1

    • [cs.IT]CLARQ: A Dynamic ARQ Solution for Ultra-high Closed-loop Reliability
    Bin Han, Yao Zhu, Muxia Sun, Vincenzo Sciancalepore, Yulin Hu, Hans D. Schotten
    http://arxiv.org/abs/2105.09551v1

    • [cs.IT]Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning
    Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
    http://arxiv.org/abs/2105.09689v1

    • [cs.IT]Communication-Efficient Distributed SGD using Preamble-based Random Access
    Jinho Choi
    http://arxiv.org/abs/2105.09427v1

    • [cs.IT]Constacyclic Codes over Commutative Finite Principal Ideal Rings
    Yun Fan
    http://arxiv.org/abs/2105.09547v1

    • [cs.IT]Database Matching Under Column Deletions
    Serhat Bakirtas, Elza Erkip
    http://arxiv.org/abs/2105.09616v1

    • [cs.IT]Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler
    Ding Shi, Wenjin Wang, Li You, Xiaohang Song, Yi Hong, Xiqi Gao, Gerhard Fettweis
    http://arxiv.org/abs/2105.09628v1

    • [cs.IT]Low-complexity Multicast Beamforming for Multi-stream Multi-group Communications
    Hamidreza Bakhshzad Mahmoodi, Bikshapathi Gouda, MohammadJavad Salehi, Antti Tolli
    http://arxiv.org/abs/2105.09705v1

    • [cs.IT]Minimax Robust Detection: Classic Results and Recent Advances
    Michael Fauß, Abdelhak M. Zoubir, H. Vincent Poor
    http://arxiv.org/abs/2105.09836v1

    • [cs.IT]Multiple Support Recovery Using Very Few Measurements Per Sample
    Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi
    http://arxiv.org/abs/2105.09855v1

    • [cs.IT]Pilot Assignment Schemes for Cell-Free Massive MIMO Systems
    Priyabrata Parida, Harpreet S. Dhillon
    http://arxiv.org/abs/2105.09505v1

    • [cs.IT]Semantic Security for Indoor THz-Wireless Communication
    Rebekka Schulz, Onur Günlü, Robert Elschner, Rafael F. Schaefer, Carsten Schmidt-Langhorst, Colja Schubert, Robert F. H. Fischer
    http://arxiv.org/abs/2105.09840v1

    • [cs.IT]Uncoded Binary Signaling through Modulo AWGN Channel
    Gizem Tabak, Andrew Singer
    http://arxiv.org/abs/2105.09831v1

    • [cs.LG]Aggregate Learning for Mixed Frequency Data
    Takamichi Toda, Daisuke Moriwaki, Kazuhiro Ota
    http://arxiv.org/abs/2105.09579v1

    • [cs.LG]An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network
    Amit Daniely, Elad Granot
    http://arxiv.org/abs/2105.09673v1

    • [cs.LG]Balancing Robustness and Sensitivity using Feature Contrastive Learning
    Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar
    http://arxiv.org/abs/2105.09394v1

    • [cs.LG]Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
    Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
    http://arxiv.org/abs/2105.09681v1

    • [cs.LG]Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles
    Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira
    http://arxiv.org/abs/2105.09900v1

    • [cs.LG]DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
    Noor Awad, Neeratyoy Mallik, Frank Hutter
    http://arxiv.org/abs/2105.09821v1

    • [cs.LG]Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
    Ameya D. Jagtap, Yeonjong Shin, Kenji Kawaguchi, George Em Karniadakis
    http://arxiv.org/abs/2105.09513v1

    • [cs.LG]DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
    Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
    http://arxiv.org/abs/2105.09421v1

    • [cs.LG]Explainable Activity Recognition for Smart Home Systems
    Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, Naoto Takeda, Sean T. Fish, Thomas Ploetz, Sonia Chernova
    http://arxiv.org/abs/2105.09787v1

    • [cs.LG]Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
    Chuhong Lahlou, Ancil Crayton, Caroline Trier, Evan Willett
    http://arxiv.org/abs/2105.09428v1

    • [cs.LG]Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
    Xiaolin Chen, Shuai Zhou, Kai Yang, Hao Fan, Zejin Feng, Zhong Chen, Hu Wang, Yongji Wang
    http://arxiv.org/abs/2105.09540v1

    • [cs.LG]Generative Adversarial Neural Architecture Search
    Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith Mills, Shuo Lian, Wei Lu, Shangling Jui
    http://arxiv.org/abs/2105.09356v1

    • [cs.LG]Graph Sanitation with Application to Node Classification
    Zhe Xu, Hanghang Tong
    http://arxiv.org/abs/2105.09384v1

    • [cs.LG]Heterogeneous Contrastive Learning
    Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
    http://arxiv.org/abs/2105.09401v1

    • [cs.LG]Incentivized Bandit Learning with Self-Reinforcing User Preferences
    Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
    http://arxiv.org/abs/2105.08869v2

    • [cs.LG]L1 Regression with Lewis Weights Subsampling
    Aditya Parulekar, Advait Parulekar, Eric Price
    http://arxiv.org/abs/2105.09433v1

    • [cs.LG]Logarithmic landscape and power-law escape rate of SGD
    Takashi Mori, Liu Ziyin, Kangqiao Liu, Masahito Ueda
    http://arxiv.org/abs/2105.09557v1

    • [cs.LG]Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
    Lucas N. Alegre, Ana L. C. Bazzan, Bruno C. da Silva
    http://arxiv.org/abs/2105.09452v1

    • [cs.LG]Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series
    Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
    http://arxiv.org/abs/2105.09801v1

    • [cs.LG]Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
    Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing
    http://arxiv.org/abs/2105.09580v1

    • [cs.LG]Quantifying sources of uncertainty in drug discovery predictions with probabilistic models
    Stanley E. Lazic, Dominic P. Williams
    http://arxiv.org/abs/2105.09474v1

    • [cs.LG]See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
    Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty
    http://arxiv.org/abs/2105.09601v1

    • [cs.LG]Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework
    Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
    http://arxiv.org/abs/2105.09837v1

    • [cs.LG]Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes
    Avraham Adler
    http://arxiv.org/abs/2105.09379v1

    • [cs.PL]Decomposing reverse-mode automatic differentiation
    Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul
    http://arxiv.org/abs/2105.09469v1

    • [cs.RO]A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver
    Evan Lowe, Levent Guvenç
    http://arxiv.org/abs/2105.09446v1

    • [cs.RO]A User-Centered Interface for Enhanced Conjoined Human-Robot Actions in Industrial Tasks
    Juan M. Gandarias, Pietro Balatti, Edoardo Lamon, Marta Lorenzini, Arash Ajoudani
    http://arxiv.org/abs/2105.09807v1

    • [cs.RO]Detecting and Counting Oysters
    Behzad Sadrfaridpour, Yiannis Aloimonos, Miao Yu, Yang Tao, Donald Webster
    http://arxiv.org/abs/2105.09758v1

    • [cs.RO]Efficient and Robust LiDAR-Based End-to-End Navigation
    Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus
    http://arxiv.org/abs/2105.09932v1

    • [cs.RO]Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
    Will Pryor, Yotam Barnoy, Suraj Raval, Xiaolong Liu, Lamar Mair, Daniel Lerner, Onder Erin, Gregory D. Hager, Yancy Diaz-Mercado, Axel Krieger
    http://arxiv.org/abs/2105.09481v1

    • [cs.RO]Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach
    Qinbing Fu, Tian Liu, Xuelong Sun, Huatian Wang, Jigen Peng, Shigang Yue, Cheng Hu
    http://arxiv.org/abs/2105.09753v1

    • [cs.RO]Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models
    Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer
    http://arxiv.org/abs/2105.09599v1

    • [cs.RO]Survey and Perspective on Social Emotions in Robotics
    Chie Hieida, Takayuki Nagai
    http://arxiv.org/abs/2105.09647v1

    • [cs.RO]Teat Pose Estimation via RGBD Segmentation for Automated Milking
    Nicolas Borla, Fabian Kuster, Jonas Langenegger, Juan Ribera, Marcel Honegger, Giovanni Toffetti
    http://arxiv.org/abs/2105.09843v1

    • [cs.RO]VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation
    Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
    http://arxiv.org/abs/2105.09371v1

    • [cs.SD]High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
    Patrick Lumban Tobing, Tomoki Toda
    http://arxiv.org/abs/2105.09856v1

    • [cs.SD]Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction
    Patrick Lumban Tobing, Tomoki Toda
    http://arxiv.org/abs/2105.09858v1

    • [cs.SD]Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries
    Sukhdeep S. Sodhi, Ellie Ka-In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra
    http://arxiv.org/abs/2105.09930v1

    • [cs.SD]Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine
    Behzad Javaheri
    http://arxiv.org/abs/2105.09406v1

    • [cs.SD]Unsupervised Discriminative Learning of Sounds for Audio Event Classification
    Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren
    http://arxiv.org/abs/2105.09279v2

    • [cs.SE]DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
    Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan
    http://arxiv.org/abs/2105.09352v1

    • [cs.SE]Measuring Coding Challenge Competence With APPS
    Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt
    http://arxiv.org/abs/2105.09938v1

    • [cs.SI]A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
    Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh, Yuefeng Li
    http://arxiv.org/abs/2105.09494v1

    • [cs.SI]A hybrid algorithm based on Community Detection and Multi-Attribute Decision-Making for Influence Maximization
    Masoud Jalayer, Morvarid Azheian, Mehrdad Mohammad Ali Kermani
    http://arxiv.org/abs/2105.09507v1

    • [cs.SI]Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
    Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Salvatore Catanese
    http://arxiv.org/abs/2105.09397v1

    • [cs.SI]Size does not matter — in the virtual world. Comparing online social networking behaviour with business success of entrepreneurs
    P. A. Gloor, S. Woerner, D. Schoder, K. Fischbach, A. Fronzetti Colladon
    http://arxiv.org/abs/2105.09546v1

    • [cs.SI]The impact of virtual mirroring on customer satisfaction
    P. Gloor, A. Fronzetti Colladon, G. Giacomelli, T. Saran, F. Grippa
    http://arxiv.org/abs/2105.09571v1

    • [eess.IV]Anchor-based Plain Net for Mobile Image Super-Resolution
    Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu
    http://arxiv.org/abs/2105.09750v1

    • [eess.IV]Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
    Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji, Yi Pan, Yanqing Zhang
    http://arxiv.org/abs/2105.09720v1

    • [eess.IV]DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
    Bo Cheng, Ruhui Xue, Hang Yang, Laili Zhu, Wei Xiang
    http://arxiv.org/abs/2105.09683v1

    • [eess.IV]Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation
    Enes Sadi Uysal, M. Şafak Bilici, B. Selin Zaza, M. Yiğit Özgenç, Onur Boyar
    http://arxiv.org/abs/2105.09365v1

    • [eess.IV]FVC: A New Framework towards Deep Video Compression in Feature Space
    Zhihao Hu, Guo Lu, Dong Xu
    http://arxiv.org/abs/2105.09600v1

    • [eess.IV]Medical Image Segmentation using Squeeze-and-Expansion Transformers
    Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
    http://arxiv.org/abs/2105.09511v1

    • [eess.IV]POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound
    Shehan Perera, Srikar Adhikari, Alper Yilmaz
    http://arxiv.org/abs/2105.09913v1

    • [eess.IV]Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
    Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Andreas Maier
    http://arxiv.org/abs/2105.09378v1

    • [eess.IV]Semantic segmentation of multispectral photoacoustic images using deep learning
    Janek Gröhl, Melanie Schellenberg, Kris Dreher, Niklas Holzwarth, Minu D. Tizabi, Alexander Seitel, Lena Maier-Hein
    http://arxiv.org/abs/2105.09624v1

    • [math.OC]A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
    Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen
    http://arxiv.org/abs/2105.09716v1

    • [math.OC]Trilevel and Multilevel Optimization using Monotone Operator Theory
    Allahkaram Shafiei, Vyacheslav Kungurtsev, Jakub Marecek
    http://arxiv.org/abs/2105.09407v1

    • [physics.flu-dyn]Physics-informed neural networks (PINNs) for fluid mechanics: A review
    Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis
    http://arxiv.org/abs/2105.09506v1

    • [physics.soc-ph]Criticality and Popularity in Social Networks
    Eberhard Mayerhofer
    http://arxiv.org/abs/2105.09359v1

    • [stat.AP]Double-Crossing Benford’s Law
    Javad Kazemitabar
    http://arxiv.org/abs/2105.09812v1

    • [stat.AP]Exploring the structure of time-correlated model errors in the ECMWF Data Assimilation System
    Massimo Bonavita
    http://arxiv.org/abs/2105.09776v1

    • [stat.AP]More Generalizable Models For Sepsis Detection Under Covariate Shift
    Jifan Gao, Philip L. Mar, Guanhua Chen
    http://arxiv.org/abs/2105.09385v1

    • [stat.AP]Poisson Modeling and Predicting English Premier League Goal Scoring
    Quang Nguyen
    http://arxiv.org/abs/2105.09881v1

    • [stat.AP]Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach
    Beomjo Park, Mikael Kuusela, Donata Giglio, Alison Gray
    http://arxiv.org/abs/2105.09707v1

    • [stat.CO]Uncertainty quantification through Monte Carlo method in a cloud computing setting
    A. Cunha Jr, R. Nasser, R. Sampaio, H. Lopes, K. Breitman
    http://arxiv.org/abs/2105.09512v1

    • [stat.CO]makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R
    Ingeborg Gullikstad Hem, Geir-Arne Fuglstad, Andrea Riebler
    http://arxiv.org/abs/2105.09712v1

    • [stat.ME]A flexible Bayesian non-confounding spatial model for analysis of dispersed count data in clinical studies
    Mahsa Nadifar, Hossein Baghishani, Afshin Fallah
    http://arxiv.org/abs/2105.09893v1

    • [stat.ME]A ranked-based estimator of the mean past lifetime with its application
    Elham Zamanzade, Majid Asadi, Afshin Parvardeh, Ehsan Zamanzade
    http://arxiv.org/abs/2105.09748v1

    • [stat.ME]Hierarchical Non-Stationary Temporal Gaussian Processes With 今日学术视野(2021.5.22) - 图5-Regularization
    Zheng Zhao, Rui Gao, Simo Särkkä
    http://arxiv.org/abs/2105.09695v1

    • [stat.ME]Point estimation for adaptive trial designs
    David S. Robertson, Babak Choodari-Oskooei, Munya Dimairo, Laura Flight, Philip Pallmann, Thomas Jaki
    http://arxiv.org/abs/2105.08836v2

    • [stat.ME]Point process simulation of Generalised inverse Gaussian processes and estimation of the Jaeger Integral
    Simon Godsill, Yaman Kındap
    http://arxiv.org/abs/2105.09429v1

    • [stat.ME]Robust Dynamic Mode Decomposition
    Amir Hossien Abolmasoumi, Marcos Netto, Lamine Mili
    http://arxiv.org/abs/2105.09869v1

    • [stat.ML]Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
    Ruiqi Liu, Ganggang Xu, Zuofeng Shang
    http://arxiv.org/abs/2105.09788v1

    • [stat.ML]EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
    Jun Ho Yoon, Seyoung Kim
    http://arxiv.org/abs/2105.09872v1

    • [stat.ML]Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
    Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang
    http://arxiv.org/abs/2105.09670v1

    • [stat.ML]Neural networks with superexpressive activations and integer weights
    Aleksandr Beknazaryan
    http://arxiv.org/abs/2105.09917v1

    • [stat.ML]Nonlinear Hawkes Process with Gaussian Process Self Effects
    Noa Malem-Shinitski, Cesar Ojeda, Manfred Opper
    http://arxiv.org/abs/2105.09618v1

    • [stat.ML]On the 今日学术视野(2021.5.22) - 图6-lazy version of Markov chains in estimation and testing problems
    Sela Fried, Geoffrey Wolfer
    http://arxiv.org/abs/2105.09536v1