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.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SC - 符号计算 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Machine Learning guided Rewriting Approach for ASP Logic Programs
    • [cs.AI]A System for Explainable Answer Set Programming
    • [cs.AI]An application of Answer Set Programming in Distributed Architectures: ASP Microservices
    • [cs.AI]Automated Aggregator — Rewriting with the Counting Aggregate
    • [cs.AI]Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information
    • [cs.AI]Dynamic Multi-Agent Path Finding based on Conflict Resolution using Answer Set Programming
    • [cs.AI]Entropy, Computing and Rationality
    • [cs.AI]Exploring Instance Generation for Automated Planning
    • [cs.AI]Extending Answer Set Programs with Neural Networks
    • [cs.AI]SQuARE: Semantics-based Question Answering and Reasoning Engine
    • [cs.AI]Solving Gossip Problems using Answer Set Programming: An Epistemic Planning Approach
    • [cs.AI]Splitting a Hybrid ASP Program
    • [cs.AI]Tabling Optimization for Contextual Abduction
    • [cs.AI]The Relativity of Induction
    • [cs.AI]Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem
    • [cs.CL]”When they say weed causes depression, but it’s your fav antidepressant”: Knowledge-aware Attention Framework for Relationship Extraction
    • [cs.CL]ALICE: Active Learning with Contrastive Natural Language Explanations
    • [cs.CL]An Empirical Study on Neural Keyphrase Generation
    • [cs.CL]AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
    • [cs.CL]CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
    • [cs.CL]Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application
    • [cs.CL]Context-theoretic Semantics for Natural Language: an Algebraic Framework
    • [cs.CL]Deep Reinforcement Learning for On-line Dialogue State Tracking
    • [cs.CL]Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
    • [cs.CL]Dual Learning for Dialogue State Tracking
    • [cs.CL]Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information
    • [cs.CL]GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
    • [cs.CL]Global-to-Local Neural Networks for Document-Level Relation Extraction
    • [cs.CL]Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!
    • [cs.CL]Logical foundations for hybrid type-logical grammars
    • [cs.CL]PodSumm — Podcast Audio Summarization
    • [cs.CL]SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
    • [cs.CL]SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning
    • [cs.CL]Structured Hierarchical Dialogue Policy with Graph Neural Networks
    • [cs.CL]The Persian Dependency Treebank Made Universal
    • [cs.CL]Towards Causal Explanation Detection with Pyramid Salient-Aware Network
    • [cs.CR]Proposal of a Novel Bug Bounty Implementation Using Gamification
    • [cs.CV]A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal
    • [cs.CV]A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
    • [cs.CV]An embedded deep learning system for augmented reality in firefighting applications
    • [cs.CV]Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
    • [cs.CV]Conditional Sequential Modulation for Efficient Global Image Retouching
    • [cs.CV]Curriculum Learning with Diversity for Supervised Computer Vision Tasks
    • [cs.CV]Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
    • [cs.CV]Deep N-ary Error Correcting Output Codes
    • [cs.CV]Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
    • [cs.CV]Detection Of Concrete Cracks using Dual-channel Deep Convolutional Network
    • [cs.CV]Discriminative Segmentation Tracking Using Dual Memory Banks
    • [cs.CV]Frame-wise Cross-modal Match for Video Moment Retrieval
    • [cs.CV]Heuristic Rank Selection with Progressively Searching Tensor Ring Network
    • [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
    • [cs.CV]Learning Image Labels On-the-fly for Training Robust Classification Models
    • [cs.CV]MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
    • [cs.CV]MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video
    • [cs.CV]Neural Face Models for Example-Based Visual Speech Synthesis
    • [cs.CV]OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles
    • [cs.CV]PP-OCR: A Practical Ultra Lightweight OCR System
    • [cs.CV]PennSyn2Real: Training Object Recognition Models without Human Labeling
    • [cs.CV]Performance Indicator in Multilinear Compressive Learning
    • [cs.CV]SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
    • [cs.CV]Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
    • [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
    • [cs.CV]Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
    • [cs.CV]Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
    • [cs.CV]TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
    • [cs.CV]The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
    • [cs.CV]Visual Methods for Sign Language Recognition: A Modality-Based Review
    • [cs.CV]What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
    • [cs.CV]Whole page recognition of historical handwriting
    • [cs.CY]A narrowing of AI research?
    • [cs.CY]Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
    • [cs.CY]Ethical Machine Learning in Health
    • [cs.CY]Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph
    • [cs.CY]Football and externalities: Using mathematical modelling to predict the changing fortunes of Newcastle United
    • [cs.CY]Usage Patterns of Privacy-Enhancing Technologies
    • [cs.DC]A Constraint Programming-based Job Dispatcher for Modern HPC Systems and Applications
    • [cs.DC]A Formally Verified Protocol for Log Replication with Byzantine Fault Tolerance
    • [cs.DC]A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources
    • [cs.DC]A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA
    • [cs.DC]Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities
    • [cs.DC]Continuous Reasoning for Managing Next-Gen Distributed Applications
    • [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
    • [cs.DC]E-BATCH: Energy-Efficient and High-Throughput RNN Batching
    • [cs.DC]MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud
    • [cs.DC]TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++
    • [cs.DC]The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips
    • [cs.GT]Achieving Proportionality up to the Maximin Item with Indivisible Goods
    • [cs.HC]Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective
    • [cs.HC]iWash: A Smartwatch Handwashing Quality Assessment and Reminder System with Real-time Feedback in the Context of Infectious Disease
    • [cs.IR]Claraprint: a chord and melody based fingerprint for western classical music cover detection
    • [cs.IR]Embedding-based Zero-shot Retrieval through Query Generation
    • [cs.IT]Millimeter Wave Position Location using Multipath Differentiation for 3GPP using Field Measurements
    • [cs.IT]Sum Secret Key Rate Maximization for TDD Multi-User Massive MIMO Wireless Networks
    • [cs.IT]URLLC with Massive MIMO: Analysis and Design at Finite Blocklength
    • [cs.LG]A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
    • [cs.LG]An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
    • [cs.LG]An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
    • [cs.LG]Anomalous diffusion dynamics of learning in deep neural networks
    • [cs.LG]Asynchronous Distributed Optimization with Randomized Delays
    • [cs.LG]Automating Outlier Detection via Meta-Learning
    • [cs.LG]Bandits Under The Influence (Extended Version)
    • [cs.LG]Contextual Bandits for adapting to changing User preferences over time
    • [cs.LG]Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
    • [cs.LG]DISPATCH: Design Space Exploration of Cyber-Physical Systems
    • [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
    • [cs.LG]DeepVir — Graphical Deep Matrix Factorization for “In Silico” Antiviral Repositioning: Application to COVID-19
    • [cs.LG]Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
    • [cs.LG]Gamma distribution-based sampling for imbalanced data
    • [cs.LG]Inter-database validation of a deep learning approach for automatic sleep scoring
    • [cs.LG]Is Q-Learning Provably Efficient? An Extended Analysis
    • [cs.LG]Learning Task-Agnostic Action Spaces for Movement Optimization
    • [cs.LG]Learning a Lie Algebra from Unlabeled Data Pairs
    • [cs.LG]Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
    • [cs.LG]PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure
    • [cs.LG]Privacy Preserving K-Means Clustering: A Secure Multi-Party Computation Approach
    • [cs.LG]Property-Directed Verification of Recurrent Neural Networks
    • [cs.LG]Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
    • [cs.LG]Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
    • [cs.LG]Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
    • [cs.LG]Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees
    • [cs.LG]Stacked Generalization for Human Activity Recognition
    • [cs.LG]Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
    • [cs.LG]Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
    • [cs.LG]Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
    • [cs.LG]Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don’t
    • [cs.LG]Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
    • [cs.LO]Deriving Theorems in Implicational Linear Logic, Declaratively
    • [cs.LO]LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories
    • [cs.LO]Learning Concepts Described by Weight Aggregation Logic
    • [cs.LO]Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics
    • [cs.NE]Complex Vehicle Routing with Memory Augmented Neural Networks
    • [cs.NE]Evolutionary Architecture Search for Graph Neural Networks
    • [cs.NE]Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
    • [cs.NE]Tensor Programs III: Neural Matrix Laws
    • [cs.NI]Ultra-dense Low Data Rate (UDLD) Communication in the THz
    • [cs.NI]When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
    • [cs.RO]A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods
    • [cs.RO]Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics
    • [cs.RO]CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
    • [cs.RO]Fail-Safe Controller Architectures for Quadcopter with Motor Failures
    • [cs.RO]Self-Adapting Variable Impedance Actuator Control for Precision and Dynamic Tasks
    • [cs.RO]Time-of-Flight LiDAR-based Precise Mapping
    • [cs.SC]A Low-Level Index for Distributed Logic Programming
    • [cs.SE]CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
    • [cs.SE]From Things’ Modeling Language (ThingML) to Things’ Machine Learning (ThingML2)
    • [cs.SE]ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning
    • [cs.SI]Forecasting elections results via the voter model with stubborn nodes
    • [cs.SI]Google COVID-19 community mobility reports: insights from multi-criteria decision making
    • [cs.SI]GraphCrop: Subgraph Cropping for Graph Classification
    • [cs.SI]Industrial Topics in Urban Labor System
    • [cs.SI]Overlapping community detection in networks via sparse spectral decomposition
    • [cs.SI]Preserving Integrity in Online Social Networks
    • [econ.EM]Recent Developments on Factor Models and its Applications in Econometric Learning
    • [eess.AS]A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
    • [eess.AS]End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic Hands
    • [eess.AS]End-to-End Speech Recognition and Disfluency Removal
    • [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
    • [eess.IV]Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning
    • [eess.IV]Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data
    • [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
    • [eess.SP]Evaluating phase synchronization methods in fMRI: a comparison study and new approaches
    • [math.NA]Randomized Continuous Frames in Time-Frequency Analysis
    • [math.OC]Improving Convergence for Nonconvex Composite Programming
    • [math.OC]Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
    • [math.OC]Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metrics in optimization and machine learning
    • [math.PR]A new life of Pearson’s skewness
    • [math.ST]An $l1$-oracle inequality for the Lasso in mixture-of-experts regression models
    • [math.ST]Limiting laws for extreme eigenvalues of large-dimensional spiked Fisher matrices with a divergent number of spikes
    • [math.ST]Nonparametric least squares estimation in integer-valued GARCH models
    • [math.ST]On the proliferation of support vectors in high dimensions
    • [math.ST]Outcome regression-based estimation of conditional average treatment effect
    • [math.ST]Spectral cut-off regularisation for density estimation under multiplicative measurement errors
    • [math.ST]The Role of Propensity Score Structure in Asymptotic Efficiency of Estimated Conditional Quantile Treatment Effect
    • [physics.soc-ph]Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility
    • [physics.soc-ph]Super-teams or fair leagues? Parity policies by powerful regulators don’t prevent capture
    • [q-bio.GN]A word recurrence based algorithm to extract genomic dictionaries
    • [q-bio.QM]Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
    • [stat.AP]A Bias Correction Method in Meta-analysis of Randomized Clinical Trials with no Adjustments for Zero-inflated Outcomes
    • [stat.AP]A rapidly updating stratified mix-adjusted median property price index model
    • [stat.AP]ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso
    • [stat.AP]Effects of winter climate on high speed passenger trains inBotnia-Atlantica region
    • [stat.AP]Sample Size Calculation for Cluster Randomized Trials with Zero-inflated Count Outcomes
    • [stat.AP]Spatio-temporal modelling of $\text{PM}    {10}$ daily concentrations in Italy using the SPDE approach
    • [stat.AP]Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning
    • [stat.ME]Model detection and variable selection for mode varying coefficient model
    • [stat.ME]On ratio measures of population heterogeneity for meta-analyses
    • [stat.ME]The Linear Lasso: a location model resolution
    • [stat.ME]casebase: An Alternative Framework For Survival Analysis and Comparison of Event Rates
    • [stat.ML]An adaptive transport framework for joint and conditional density estimation
    • [stat.ML]Partially Observable Online Change Detection via Smooth-Sparse Decomposition
    • [stat.ML]Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
    • [stat.ML]Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models

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    • [cs.AI]A Machine Learning guided Rewriting Approach for ASP Logic Programs
    Elena Mastria, Jessica Zangari, Simona Perri, Francesco Calimeri
    http://arxiv.org/abs/2009.10252v1

    • [cs.AI]A System for Explainable Answer Set Programming
    Pedro Cabalar, Jorge Fandinno, Brais Muñiz
    http://arxiv.org/abs/2009.10242v1

    • [cs.AI]An application of Answer Set Programming in Distributed Architectures: ASP Microservices
    Stefania Costantini, Lorenzo De Lauretis
    http://arxiv.org/abs/2009.10250v1

    • [cs.AI]Automated Aggregator — Rewriting with the Counting Aggregate
    Michael Dingess, Miroslaw Truszczynski
    http://arxiv.org/abs/2009.10240v1

    • [cs.AI]Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information
    Alessandro Bertagnon
    http://arxiv.org/abs/2009.10253v1

    • [cs.AI]Dynamic Multi-Agent Path Finding based on Conflict Resolution using Answer Set Programming
    Basem Atiq, Volkan Patoglu, Esra Erdem
    http://arxiv.org/abs/2009.10249v1

    • [cs.AI]Entropy, Computing and Rationality
    Luis A. Pineda
    http://arxiv.org/abs/2009.10224v1

    • [cs.AI]Exploring Instance Generation for Automated Planning
    Özgür Akgün, Nguyen Dang, Joan Espasa, Ian Miguel, András Z. Salamon, Christopher Stone
    http://arxiv.org/abs/2009.10156v1

    • [cs.AI]Extending Answer Set Programs with Neural Networks
    Zhun Yang
    http://arxiv.org/abs/2009.10256v1

    • [cs.AI]SQuARE: Semantics-based Question Answering and Reasoning Engine
    Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Gopal Gupta
    http://arxiv.org/abs/2009.10239v1

    • [cs.AI]Solving Gossip Problems using Answer Set Programming: An Epistemic Planning Approach
    Esra Erdem, Andreas Herzig
    http://arxiv.org/abs/2009.10237v1

    • [cs.AI]Splitting a Hybrid ASP Program
    Alex Brik
    http://arxiv.org/abs/2009.10236v1

    • [cs.AI]Tabling Optimization for Contextual Abduction
    Ridhwan Dewoprabowo, Ari Saptawijaya
    http://arxiv.org/abs/2009.10243v1

    • [cs.AI]The Relativity of Induction
    Larry Muhlstein
    http://arxiv.org/abs/2009.10613v1

    • [cs.AI]Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem
    Patrick Spracklen, Nguyen Dang, Özgür Akgün, Ian Miguel
    http://arxiv.org/abs/2009.10152v1

    • [cs.CL]“When they say weed causes depression, but it’s your fav antidepressant”: Knowledge-aware Attention Framework for Relationship Extraction
    Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois Lamy, Amit Sheth
    http://arxiv.org/abs/2009.10155v1

    • [cs.CL]ALICE: Active Learning with Contrastive Natural Language Explanations
    Weixin Liang, James Zou, Zhou Yu
    http://arxiv.org/abs/2009.10259v1

    • [cs.CL]An Empirical Study on Neural Keyphrase Generation
    Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
    http://arxiv.org/abs/2009.10229v1

    • [cs.CL]AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
    Wei Zhu, Xiaoling Wang, Xipeng Qiu, Yuan Ni, Guotong Xie
    http://arxiv.org/abs/2009.10680v1

    • [cs.CL]CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
    Zhi Chen, Lu Chen, Zihan Xu, Yanbin Zhao, Su Zhu, Kai Yu
    http://arxiv.org/abs/2009.10435v1

    • [cs.CL]Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application
    Chris J. Kennedy, Geoff Bacon, Alexander Sahn, Claudia von Vacano
    http://arxiv.org/abs/2009.10277v1

    • [cs.CL]Context-theoretic Semantics for Natural Language: an Algebraic Framework
    Daoud Clarke
    http://arxiv.org/abs/2009.10542v1

    • [cs.CL]Deep Reinforcement Learning for On-line Dialogue State Tracking
    Zhi Chen, Lu Chen, Xiang Zhou, Kai Yu
    http://arxiv.org/abs/2009.10321v1

    • [cs.CL]Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
    Zhi Chen, Lu Chen, Xiaoyuan Liu, Kai Yu
    http://arxiv.org/abs/2009.10326v1

    • [cs.CL]Dual Learning for Dialogue State Tracking
    Zhi Chen, Lu Chen, Yanbin Zhao, Su Zhu, Kai Yu
    http://arxiv.org/abs/2009.10430v1

    • [cs.CL]Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information
    Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
    http://arxiv.org/abs/2009.10290v1

    • [cs.CL]GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
    Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang
    http://arxiv.org/abs/2009.10557v1

    • [cs.CL]Global-to-Local Neural Networks for Document-Level Relation Extraction
    Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun
    http://arxiv.org/abs/2009.10359v1

    • [cs.CL]Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!
    Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
    http://arxiv.org/abs/2009.10684v1

    • [cs.CL]Logical foundations for hybrid type-logical grammars
    Richard Moot, Symon Stevens-Guille
    http://arxiv.org/abs/2009.10387v1

    • [cs.CL]PodSumm — Podcast Audio Summarization
    Aneesh Vartakavi, Amanmeet Garg
    http://arxiv.org/abs/2009.10315v1

    • [cs.CL]SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
    Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
    http://arxiv.org/abs/2009.10195v1

    • [cs.CL]SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning
    Hwaran Lee, Seokhwan Jo, HyungJun Kim, Sangkeun Jung, Tae-Yoon Kim
    http://arxiv.org/abs/2009.10447v1

    • [cs.CL]Structured Hierarchical Dialogue Policy with Graph Neural Networks
    Zhi Chen, Xiaoyuan Liu, Lu Chen, Kai Yu
    http://arxiv.org/abs/2009.10355v1

    • [cs.CL]The Persian Dependency Treebank Made Universal
    Mohammad Sadegh Rasooli, Pegah Safari, Amirsaeid Moloodi, Alireza Nourian
    http://arxiv.org/abs/2009.10205v1

    • [cs.CL]Towards Causal Explanation Detection with Pyramid Salient-Aware Network
    Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
    http://arxiv.org/abs/2009.10288v1

    • [cs.CR]Proposal of a Novel Bug Bounty Implementation Using Gamification
    Jamie O’Hare, Lynsay A. Shepherd
    http://arxiv.org/abs/2009.10158v1

    • [cs.CV]A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal
    Ionuţ Mironică
    http://arxiv.org/abs/2009.10663v1

    • [cs.CV]A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
    E. Riba, D. Mishkin, J. Shi, D. Ponsa, F. Moreno-Noguer, G. Bradski
    http://arxiv.org/abs/2009.10521v1

    • [cs.CV]An embedded deep learning system for augmented reality in firefighting applications
    Manish Bhattarai, Aura Rose Jensen-Curtis, Manel MartíNez-Ramón
    http://arxiv.org/abs/2009.10679v1

    • [cs.CV]Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
    Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu
    http://arxiv.org/abs/2009.10295v1

    • [cs.CV]Conditional Sequential Modulation for Efficient Global Image Retouching
    Jingwen He, Yihao Liu, Yu Qiao, Chao Dong
    http://arxiv.org/abs/2009.10390v1

    • [cs.CV]Curriculum Learning with Diversity for Supervised Computer Vision Tasks
    Petru Soviany
    http://arxiv.org/abs/2009.10625v1

    • [cs.CV]Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
    Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
    http://arxiv.org/abs/2009.10132v1

    • [cs.CV]Deep N-ary Error Correcting Output Codes
    Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh
    http://arxiv.org/abs/2009.10465v1

    • [cs.CV]Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
    Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu
    http://arxiv.org/abs/2009.10282v1

    • [cs.CV]Detection Of Concrete Cracks using Dual-channel Deep Convolutional Network
    Babloo Kumar, Sayantari Ghosh
    http://arxiv.org/abs/2009.10612v1

    • [cs.CV]Discriminative Segmentation Tracking Using Dual Memory Banks
    Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo
    http://arxiv.org/abs/2009.09669v2

    • [cs.CV]Frame-wise Cross-modal Match for Video Moment Retrieval
    Haoyu Tang, Jihua Zhu, Meng Liu, Member, IEEE, Zan Gao, Zhiyong Cheng
    http://arxiv.org/abs/2009.10434v1

    • [cs.CV]Heuristic Rank Selection with Progressively Searching Tensor Ring Network
    Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
    http://arxiv.org/abs/2009.10580v1

    • [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
    Ozan Unal, Luc Van Gool, Dengxin Dai
    http://arxiv.org/abs/2009.10569v1

    • [cs.CV]Learning Image Labels On-the-fly for Training Robust Classification Models
    Xiaosong Wang, Ziyue Xu, Dong Yang, Leo Tam, Holger Roth, Daguang Xu
    http://arxiv.org/abs/2009.10325v1

    • [cs.CV]MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
    Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
    http://arxiv.org/abs/2009.09718v2

    • [cs.CV]MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video
    Donglai Xiang, Fabian Prada, Chenglei Wu, Jessica Hodgins
    http://arxiv.org/abs/2009.10711v1

    • [cs.CV]Neural Face Models for Example-Based Visual Speech Synthesis
    Wolfgang Paier, Anna Hilsmann, Peter Eisert
    http://arxiv.org/abs/2009.10361v1

    • [cs.CV]OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles
    Alexander Kern, Markus Bobbe, Yogesh Khedar, Ulf Bestmann
    http://arxiv.org/abs/2009.10492v1

    • [cs.CV]PP-OCR: A Practical Ultra Lightweight OCR System
    Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, Haoshuang Wang
    http://arxiv.org/abs/2009.09941v2

    • [cs.CV]PennSyn2Real: Training Object Recognition Models without Human Labeling
    Ty Nguyen, Ian D. Miller, Avi Cohen, Dinesh Thakur, Shashank Prasad, Arjun Guru, Camillo J. Taylor, Pratik Chaudrahi, Vijay Kumar
    http://arxiv.org/abs/2009.10292v1

    • [cs.CV]Performance Indicator in Multilinear Compressive Learning
    Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2009.10456v1

    • [cs.CV]SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
    Weitao Feng, Zhihao Hu, Baopu Li, Weihao Gan, Wei Wu, Wanli Ouyang
    http://arxiv.org/abs/2009.10338v1

    • [cs.CV]Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
    Ivan Tishchenko, Sandro Lombardi, Martin R. Oswald, Marc Pollefeys
    http://arxiv.org/abs/2009.10467v1

    • [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
    Xiong Dan
    http://arxiv.org/abs/2009.10468v1

    • [cs.CV]Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
    Alex Wong, Mukund Mundhra, Stefano Soatto
    http://arxiv.org/abs/2009.10142v1

    • [cs.CV]Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
    Akash Sengupta, Ignas Budvytis, Roberto Cipolla
    http://arxiv.org/abs/2009.10013v2

    • [cs.CV]TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
    Brendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand
    http://arxiv.org/abs/2009.10692v1

    • [cs.CV]The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
    Catherine Ordun, Edward Raff, Sanjay Purushotham
    http://arxiv.org/abs/2009.10589v1

    • [cs.CV]Visual Methods for Sign Language Recognition: A Modality-Based Review
    Bassem Seddik, Najoua Essoukri Ben Amara
    http://arxiv.org/abs/2009.10370v1

    • [cs.CV]What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
    Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik
    http://arxiv.org/abs/2009.10639v1

    • [cs.CV]Whole page recognition of historical handwriting
    Hans J. G. A. Dolfing
    http://arxiv.org/abs/2009.10634v1

    • [cs.CY]A narrowing of AI research?
    Joel Klinger, Juan Mateos-Garcia, Konstantinos Stathoulopoulos
    http://arxiv.org/abs/2009.10385v1

    • [cs.CY]Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
    Xiaofei Zhou, Jessica Van Brummelen, Phoebe Lin
    http://arxiv.org/abs/2009.10228v1

    • [cs.CY]Ethical Machine Learning in Health
    Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
    http://arxiv.org/abs/2009.10576v1

    • [cs.CY]Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph
    Maulik R. Kamdar, Michael Carroll, Will Dowling, Linda Wogulis, Cailey Fitzgerald, Matt Corkum, Danielle Walsh, David Conrad, Craig E. Stanley, Jr., Steve Ross, Dru Henke, Mevan Samarasinghe
    http://arxiv.org/abs/2009.09086v1

    • [cs.CY]Football and externalities: Using mathematical modelling to predict the changing fortunes of Newcastle United
    Vishist Srivastava, Prashant Yadav, Ajuni Singh
    http://arxiv.org/abs/2009.10548v1

    • [cs.CY]Usage Patterns of Privacy-Enhancing Technologies
    Kovila P. L. Coopamootoo
    http://arxiv.org/abs/2009.10278v1

    • [cs.DC]A Constraint Programming-based Job Dispatcher for Modern HPC Systems and Applications
    Cristian Galleguillos, Zeynep Kiziltan, Ricardo Soto
    http://arxiv.org/abs/2009.10348v1

    • [cs.DC]A Formally Verified Protocol for Log Replication with Byzantine Fault Tolerance
    Joel Wanner, Laurent Chuat, Adrian Perrig
    http://arxiv.org/abs/2009.10664v1

    • [cs.DC]A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources
    Panagiotis Oikonomou, Kostas Kolomvatsos, Nikos Tziritas, Georgios Theodoropoulos, Thanasis Loukopoulos, Georgios Stamoulis
    http://arxiv.org/abs/2009.10515v1

    • [cs.DC]A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA
    Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio
    http://arxiv.org/abs/2009.10443v1

    • [cs.DC]Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities
    Javad Mohammadi, Jesse Thornburg
    http://arxiv.org/abs/2009.10182v1

    • [cs.DC]Continuous Reasoning for Managing Next-Gen Distributed Applications
    Stefano Forti, Antonio Brogi
    http://arxiv.org/abs/2009.10245v1

    • [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
    Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Zhipeng Wang, Feiyue Wang
    http://arxiv.org/abs/2009.10401v1

    • [cs.DC]E-BATCH: Energy-Efficient and High-Throughput RNN Batching
    Franyell Silfa, Jose Maria Arnau, Antonio Gonzalez
    http://arxiv.org/abs/2009.10656v1

    • [cs.DC]MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud
    Jonathan Hasenburg, Martin Grambow, David Bermbach
    http://arxiv.org/abs/2009.10579v1

    • [cs.DC]TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++
    Léopold Cambier, Yizhou Qian, Eric Darve
    http://arxiv.org/abs/2009.10697v1

    • [cs.DC]The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips
    Veljko Milutinovic, Milos Kotlar, Ivan Ratkovic, Nenad Korolija, Miljan Djordjevic, Kristy Yoshimoto, Erik Klem, Mateo Valero
    http://arxiv.org/abs/2009.10593v1

    • [cs.GT]Achieving Proportionality up to the Maximin Item with Indivisible Goods
    Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin
    http://arxiv.org/abs/2009.09508v2

    • [cs.HC]Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective
    Colin M. Gray, Cristiana Santos, Nataliia Bielova, Michael Toth, Damian Clifford
    http://arxiv.org/abs/2009.10194v1

    • [cs.HC]iWash: A Smartwatch Handwashing Quality Assessment and Reminder System with Real-time Feedback in the Context of Infectious Disease
    Sirat Samyoun, Sudipta Saha Shubha, Md Abu Sayeed Mondol, John A. Stankovic
    http://arxiv.org/abs/2009.10317v1

    • [cs.IR]Claraprint: a chord and melody based fingerprint for western classical music cover detection
    Mickaël Arcos
    http://arxiv.org/abs/2009.10128v1

    • [cs.IR]Embedding-based Zero-shot Retrieval through Query Generation
    Davis Liang, Peng Xu, Siamak Shakeri, Cicero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
    http://arxiv.org/abs/2009.10270v1

    • [cs.IT]Millimeter Wave Position Location using Multipath Differentiation for 3GPP using Field Measurements
    Ojas Kanhere, Theodore S. Rappaport
    http://arxiv.org/abs/2009.10202v1

    • [cs.IT]Sum Secret Key Rate Maximization for TDD Multi-User Massive MIMO Wireless Networks
    Guyue Li, Chen Sun, Eduard Jorswieck, Junqing Zhang, Aiqun Hu, You Chen
    http://arxiv.org/abs/2009.09142v2

    • [cs.IT]URLLC with Massive MIMO: Analysis and Design at Finite Blocklength
    Johan Östman, Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti
    http://arxiv.org/abs/2009.10550v1

    • [cs.LG]A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
    Anjukan Kathirgamanathan, Kacper Twardowski, Eleni Mangina, Donal Finn
    http://arxiv.org/abs/2009.10562v1

    • [cs.LG]An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
    Chongshou Li, Brenda Cheang, Zhixing Luo, Andrew Lim
    http://arxiv.org/abs/2009.10619v1

    • [cs.LG]An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
    Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong
    http://arxiv.org/abs/2009.10269v1

    • [cs.LG]Anomalous diffusion dynamics of learning in deep neural networks
    Guozhang Chen, Cheng Kevin Qu, Pulin Gong
    http://arxiv.org/abs/2009.10588v1

    • [cs.LG]Asynchronous Distributed Optimization with Randomized Delays
    Margalit Glasgow, Mary Wootters
    http://arxiv.org/abs/2009.10717v1

    • [cs.LG]Automating Outlier Detection via Meta-Learning
    Yue Zhao, Ryan A. Rossi, Leman Akoglu
    http://arxiv.org/abs/2009.10606v1

    • [cs.LG]Bandits Under The Influence (Extended Version)
    Silviu Maniu, Stratis Ioannidis, Bogdan Cautis
    http://arxiv.org/abs/2009.10135v1

    • [cs.LG]Contextual Bandits for adapting to changing User preferences over time
    Dattaraj Rao
    http://arxiv.org/abs/2009.10073v1

    • [cs.LG]Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
    Gautam Raj Mode, Khaza Anuarul Hoque
    http://arxiv.org/abs/2009.10149v1

    • [cs.LG]DISPATCH: Design Space Exploration of Cyber-Physical Systems
    Prerit Terway, Kenza Hamidouche, Niraj K. Jha
    http://arxiv.org/abs/2009.10214v1

    • [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
    Lin Chen, Sheng Xu
    http://arxiv.org/abs/2009.10683v1

    • [cs.LG]DeepVir — Graphical Deep Matrix Factorization for “In Silico” Antiviral Repositioning: Application to COVID-19
    Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumda
    http://arxiv.org/abs/2009.10333v1

    • [cs.LG]Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
    Ping-En Lu, Cheng-Shang Chang
    http://arxiv.org/abs/2009.10367v1

    • [cs.LG]Gamma distribution-based sampling for imbalanced data
    Firuz Kamalov, Dmitry Denisov
    http://arxiv.org/abs/2009.10343v1

    • [cs.LG]Inter-database validation of a deep learning approach for automatic sleep scoring
    Diego Alvarez-Estevez, Roselyne M. Rijsman
    http://arxiv.org/abs/2009.10365v1

    • [cs.LG]Is Q-Learning Provably Efficient? An Extended Analysis
    Kushagra Rastogi, Jonathan Lee, Fabrice Harel-Canada, Aditya Joglekar
    http://arxiv.org/abs/2009.10396v1

    • [cs.LG]Learning Task-Agnostic Action Spaces for Movement Optimization
    Amin Babadi, Michiel van de Panne, C. Karen Liu, Perttu Hämäläinen
    http://arxiv.org/abs/2009.10337v1

    • [cs.LG]Learning a Lie Algebra from Unlabeled Data Pairs
    Chris Ick, Vincent Lostanlen
    http://arxiv.org/abs/2009.09321v2

    • [cs.LG]Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
    Nijat Mehdiyev, Peter Fettke
    http://arxiv.org/abs/2009.10513v1

    • [cs.LG]PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure
    Md Aminur Rab Ratul, Maryam Tavakol Elahi, M. Hamed Mozaffari, WonSook Lee
    http://arxiv.org/abs/2009.10380v1

    • [cs.LG]Privacy Preserving K-Means Clustering: A Secure Multi-Party Computation Approach
    Daniel Hurtado Ramírez, J. M. Auñón
    http://arxiv.org/abs/2009.10453v1

    • [cs.LG]Property-Directed Verification of Recurrent Neural Networks
    Igor Khmelnitsky, Daniel Neider, Rajarshi Roy, Benoît Barbot, Benedikt Bollig, Alain Finkel, Serge Haddad, Martin Leucker, Lina Ye
    http://arxiv.org/abs/2009.10610v1

    • [cs.LG]Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
    Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang
    http://arxiv.org/abs/2009.10318v1

    • [cs.LG]Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
    Hannah Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini, Estefania Puricelli, Patrick Gray
    http://arxiv.org/abs/2009.10189v1

    • [cs.LG]Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
    Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding
    http://arxiv.org/abs/2009.10233v1

    • [cs.LG]Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees
    Juan Carrillo, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda
    http://arxiv.org/abs/2009.10263v1

    • [cs.LG]Stacked Generalization for Human Activity Recognition
    Ambareesh Ravi
    http://arxiv.org/abs/2009.10312v1

    • [cs.LG]Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
    Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
    http://arxiv.org/abs/2009.10273v1

    • [cs.LG]Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
    Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai
    http://arxiv.org/abs/2009.10221v1

    • [cs.LG]Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
    Ferran Alet, Kenji Kawaguchi, Tomas Lozano-Perez, Leslie Pack Kaelbling
    http://arxiv.org/abs/2009.10623v1

    • [cs.LG]Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don’t
    Weinan E, Chao Ma, Stephan Wojtowytsch, Lei Wu
    http://arxiv.org/abs/2009.10713v1

    • [cs.LG]Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
    Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding
    http://arxiv.org/abs/2009.10235v1

    • [cs.LO]Deriving Theorems in Implicational Linear Logic, Declaratively
    Paul Tarau, Valeria de Paiva
    http://arxiv.org/abs/2009.10241v1

    • [cs.LO]LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories
    Wolf De Wulf, Bart Bogaerts
    http://arxiv.org/abs/2009.10248v1

    • [cs.LO]Learning Concepts Described by Weight Aggregation Logic
    Steffen van Bergerem, Nicole Schweikardt
    http://arxiv.org/abs/2009.10574v1

    • [cs.LO]Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics
    Tobias Geibinger, Hans Tompits
    http://arxiv.org/abs/2009.10246v1

    • [cs.NE]Complex Vehicle Routing with Memory Augmented Neural Networks
    Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski
    http://arxiv.org/abs/2009.10520v1

    • [cs.NE]Evolutionary Architecture Search for Graph Neural Networks
    Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
    http://arxiv.org/abs/2009.10199v1

    • [cs.NE]Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
    W. B. Langdon
    http://arxiv.org/abs/2009.10460v1

    • [cs.NE]Tensor Programs III: Neural Matrix Laws
    Greg Yang
    http://arxiv.org/abs/2009.10685v1

    • [cs.NI]Ultra-dense Low Data Rate (UDLD) Communication in the THz
    Rohit Singh, Doug Sicker
    http://arxiv.org/abs/2009.10674v1

    • [cs.NI]When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
    Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, Di Wu
    http://arxiv.org/abs/2009.10601v1

    • [cs.RO]A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods
    Jonathan D. Gammell, Marlin P. Strub
    http://arxiv.org/abs/2009.10484v1

    • [cs.RO]Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics
    S. Banerjee, J. Harrison, P. M. Furlong, M. Pavone
    http://arxiv.org/abs/2009.10191v1

    • [cs.RO]CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
    Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev
    http://arxiv.org/abs/2009.09942v2

    • [cs.RO]Fail-Safe Controller Architectures for Quadcopter with Motor Failures
    Gene Patrick S. Rible, Nicolette Ann A. Arriola, Manuel C. Ramos, Jr
    http://arxiv.org/abs/2009.10260v1

    • [cs.RO]Self-Adapting Variable Impedance Actuator Control for Precision and Dynamic Tasks
    Manuel Aiple, Andre Schiele, Frans C. T. van der Helm
    http://arxiv.org/abs/2009.10444v1

    • [cs.RO]Time-of-Flight LiDAR-based Precise Mapping
    Han Wu, Zhi Yan
    http://arxiv.org/abs/2009.10170v1

    • [cs.SC]A Low-Level Index for Distributed Logic Programming
    Thomas Prokosch
    http://arxiv.org/abs/2009.10255v1

    • [cs.SE]CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
    Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Ming Zhou, Ambrosio Blanco, Shuai Ma
    http://arxiv.org/abs/2009.10297v1

    • [cs.SE]From Things’ Modeling Language (ThingML) to Things’ Machine Learning (ThingML2)
    Armin Moin, Stephan Rössler, Marouane Sayih, Stephan Günnemann
    http://arxiv.org/abs/2009.10632v1

    • [cs.SE]ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine Learning
    Armin Moin, Stephan Rössler, Stephan Günnemann
    http://arxiv.org/abs/2009.10633v1

    • [cs.SI]Forecasting elections results via the voter model with stubborn nodes
    Antoine Vendeville, Benjamin Guedj, Shi Zhou
    http://arxiv.org/abs/2009.10627v1

    • [cs.SI]Google COVID-19 community mobility reports: insights from multi-criteria decision making
    Gabriela Cavalcante da Silvaa, Sabrina Oliveirab, Elizabeth F. Wanner, Leonardo C. T. Bezerra
    http://arxiv.org/abs/2009.10648v1

    • [cs.SI]GraphCrop: Subgraph Cropping for Graph Classification
    Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
    http://arxiv.org/abs/2009.10564v1

    • [cs.SI]Industrial Topics in Urban Labor System
    Jaehyuk Park, Morgan R. Frank, Lijun Sun, Hyejin Youn
    http://arxiv.org/abs/2009.09799v1

    • [cs.SI]Overlapping community detection in networks via sparse spectral decomposition
    Jesús Arroyo, Elizaveta Levina
    http://arxiv.org/abs/2009.10641v1

    • [cs.SI]Preserving Integrity in Online Social Networks
    Alon Halevy, Cristian Canton Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov
    http://arxiv.org/abs/2009.10311v1

    • [econ.EM]Recent Developments on Factor Models and its Applications in Econometric Learning
    Jianqing Fan, Kunpeng Li, Yuan Liao
    http://arxiv.org/abs/2009.10103v1

    • [eess.AS]A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
    Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov, Alen Adiyev, Mukhamet Nurpeiissov, Huseyin Atakan Varol
    http://arxiv.org/abs/2009.10334v1

    • [eess.AS]End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic Hands
    Mohsen Jafarzadeh, Yonas Tadesse
    http://arxiv.org/abs/2009.10283v1

    • [eess.AS]End-to-End Speech Recognition and Disfluency Removal
    Paria Jamshid Lou, Mark Johnson
    http://arxiv.org/abs/2009.10298v1

    • [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
    Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang
    http://arxiv.org/abs/2009.10549v1

    • [eess.IV]Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning
    Alejandro R. Martinez
    http://arxiv.org/abs/2009.10474v1

    • [eess.IV]Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data
    Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas
    http://arxiv.org/abs/2009.10687v1

    • [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
    Ming Y. Lu, Dehan Kong, Jana Lipkova, Richard J. Chen, Rajendra Singh, Drew F. K. Williamsona, Tiffany Y. Chena, Faisal Mahmood
    http://arxiv.org/abs/2009.10190v1

    • [eess.SP]Evaluating phase synchronization methods in fMRI: a comparison study and new approaches
    Hamed Honari, Ann S. Choe, Martin A. Lindquist
    http://arxiv.org/abs/2009.10126v1

    • [math.NA]Randomized Continuous Frames in Time-Frequency Analysis
    Ron Levie, Haim Avron
    http://arxiv.org/abs/2009.10525v1

    • [math.OC]Improving Convergence for Nonconvex Composite Programming
    Kai Yang, Masoud Asgharian, Sahir Bhatnagar
    http://arxiv.org/abs/2009.10629v1

    • [math.OC]Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
    Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
    http://arxiv.org/abs/2009.10395v1

    • [math.OC]Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metrics in optimization and machine learning
    Du Nguyen
    http://arxiv.org/abs/2009.10159v1

    • [math.PR]A new life of Pearson’s skewness
    Yevgeniy Kovchegov
    http://arxiv.org/abs/2009.10305v1

    • [math.ST]An $l_1$-oracle inequality for the Lasso in mixture-of-experts regression models
    TrungTin Nguyen, Hien D Nguyen, Faicel Chamroukhi, Geoffrey J McLachlan
    http://arxiv.org/abs/2009.10622v1

    • [math.ST]Limiting laws for extreme eigenvalues of large-dimensional spiked Fisher matrices with a divergent number of spikes
    Junshan Xie, Yicheng Zeng, Lixing Zhu
    http://arxiv.org/abs/2009.10285v1

    • [math.ST]Nonparametric least squares estimation in integer-valued GARCH models
    Maximilian Wechsung, Michael H. Neumann
    http://arxiv.org/abs/2009.10383v1

    • [math.ST]On the proliferation of support vectors in high dimensions
    Daniel Hsu, Vidya Muthukumar, Ji Xu
    http://arxiv.org/abs/2009.10670v1

    • [math.ST]Outcome regression-based estimation of conditional average treatment effect
    Lu Li, Niwen Zhou, Lixing Zhu
    http://arxiv.org/abs/2009.10482v1

    • [math.ST]Spectral cut-off regularisation for density estimation under multiplicative measurement errors
    Sergio Brenner Miguel, Fabienne Comte, Jan Johannes
    http://arxiv.org/abs/2009.10547v1

    • [math.ST]The Role of Propensity Score Structure in Asymptotic Efficiency of Estimated Conditional Quantile Treatment Effect
    Niwen Zhou, Xu Guo, Lixing Zhu
    http://arxiv.org/abs/2009.10450v1

    • [physics.soc-ph]Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility
    Shihui Feng, Alec Kirkley
    http://arxiv.org/abs/2009.10461v1

    • [physics.soc-ph]Super-teams or fair leagues? Parity policies by powerful regulators don’t prevent capture
    Adam Sawyer, Seth Frey
    http://arxiv.org/abs/2009.09990v2

    • [q-bio.GN]A word recurrence based algorithm to extract genomic dictionaries
    Vincenzo Bonnici, Giuditta Franco, Vincenzo Manca
    http://arxiv.org/abs/2009.10449v1

    • [q-bio.QM]Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
    Maxime De Bois, Mounîm A. El Yacoubi
    http://arxiv.org/abs/2009.10514v1

    • [stat.AP]A Bias Correction Method in Meta-analysis of Randomized Clinical Trials with no Adjustments for Zero-inflated Outcomes
    Zhengyang Zhou, Minge Xie, David Huh, Eun-Young Mun
    http://arxiv.org/abs/2009.10265v1

    • [stat.AP]A rapidly updating stratified mix-adjusted median property price index model
    Robert Miller, Phil Maguire
    http://arxiv.org/abs/2009.10532v1

    • [stat.AP]ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso
    Weijian Luo, Yongxian Long
    http://arxiv.org/abs/2009.10498v1

    • [stat.AP]Effects of winter climate on high speed passenger trains inBotnia-Atlantica region
    Jianfeng Wang, Markus Granlöf, Jun Yu
    http://arxiv.org/abs/2009.10426v1

    • [stat.AP]Sample Size Calculation for Cluster Randomized Trials with Zero-inflated Count Outcomes
    Zhengyang Zhou, Dateng Li, Song Zhang
    http://arxiv.org/abs/2009.10117v1

    • [stat.AP]Spatio-temporal modelling of $\text{PM}_{10}$ daily concentrations in Italy using the SPDE approach
    Guido Fioravanti, Sara Martino, Michela Cameletti, Giorgio Cattani
    http://arxiv.org/abs/2009.10476v1

    • [stat.AP]Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning
    Cynthia Huber, Norbert Benda, Tim Friede
    http://arxiv.org/abs/2009.10518v1

    • [stat.ME]Model detection and variable selection for mode varying coefficient model
    Xuejun Ma, Yue Du, Jingli Wang
    http://arxiv.org/abs/2009.10291v1

    • [stat.ME]On ratio measures of population heterogeneity for meta-analyses
    Maxwell Cairns, Luke Prendergast
    http://arxiv.org/abs/2009.10332v1

    • [stat.ME]The Linear Lasso: a location model resolution
    D. A. S. Fraser, Mylène Bédard
    http://arxiv.org/abs/2009.10289v1

    • [stat.ME]casebase: An Alternative Framework For Survival Analysis and Comparison of Event Rates
    Sahir Rai Bhatnagar, Maxime Turgeon, Jesse Islam, James A. Hanley, Olli Saarela
    http://arxiv.org/abs/2009.10264v1

    • [stat.ML]An adaptive transport framework for joint and conditional density estimation
    Ricardo Baptista, Olivier Zahm, Youssef Marzouk
    http://arxiv.org/abs/2009.10303v1

    • [stat.ML]Partially Observable Online Change Detection via Smooth-Sparse Decomposition
    Jie Guo, Hao Yan, Chen Zhang, Steven Hoi
    http://arxiv.org/abs/2009.10645v1

    • [stat.ML]Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2009.10301v1

    • [stat.ML]Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
    Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M. Dunlavy
    http://arxiv.org/abs/2009.10644v1