astro-ph.SR - 太阳和天体物理学恒星

    cond-mat.soft - 软凝聚物质 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.OS - 操作系统 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 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.SR]Solar coronal magnetic field extrapolation from synchronic data with AI-generated farside
    • [cond-mat.soft]Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
    • [cs.AI]A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media
    • [cs.AI]A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
    • [cs.AI]Causal Inference in the Presence of Interference in Sponsored Search Advertising
    • [cs.AI]Designing Emergency Response Pipelines : Lessons and Challenges
    • [cs.AI]Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
    • [cs.AI]GMH: A General Multi-hop Reasoning Model for KG Completion
    • [cs.AI]Improving Neural Network Verification through Spurious Region Guided Refinement
    • [cs.AI]Multi-Agent Trust Region Policy Optimization
    • [cs.AI]On the Importance of Domain Model Configuration for Automated Planning Engines
    • [cs.AI]Research on AI Composition Recognition Based on Music Rules
    • [cs.AI]TDRE: A Tensor Decomposition Based Approach for Relation Extraction
    • [cs.AI]Uncertainty Aware Wildfire Management
    • [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
    • [cs.CL]A new approach for extracting the conceptual schema of texts based on the linguistic Thematic Progression theory
    • [cs.CL]Compressive Summarization with Plausibility and Salience Modeling
    • [cs.CL]Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
    • [cs.CL]Continual Learning for Neural Semantic Parsing
    • [cs.CL]Decoding Methods for Neural Narrative Generation
    • [cs.CL]DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
    • [cs.CL]Diverse Keyphrase Generation with Neural Unlikelihood Training
    • [cs.CL]Does Chinese BERT Encode Word Structure?
    • [cs.CL]Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
    • [cs.CL]From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli?
    • [cs.CL]Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
    • [cs.CL]Hierarchical Poset Decoding for Compositional Generalization in Language
    • [cs.CL]Improving Constituency Parsing with Span Attention
    • [cs.CL]Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
    • [cs.CL]Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
    • [cs.CL]Learning Better Representation for Tables by Self-Supervised Tasks
    • [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
    • [cs.CL]MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
    • [cs.CL]Multi-Task Learning for Cross-Lingual Abstractive Summarization
    • [cs.CL]NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
    • [cs.CL]Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
    • [cs.CL]Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
    • [cs.CL]Neural Deepfake Detection with Factual Structure of Text
    • [cs.CL]On Cross-Dataset Generalization in Automatic Detection of Online Abuse
    • [cs.CL]Pretrained Language Models for Dialogue Generation with Multiple Input Sources
    • [cs.CL]Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
    • [cs.CL]RNNs can generate bounded hierarchical languages with optimal memory
    • [cs.CL]Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
    • [cs.CL]Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
    • [cs.CL]Semantic Label Smoothing for Sequence to Sequence Problems
    • [cs.CL]Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection
    • [cs.CL]Six Attributes of Unhealthy Conversation
    • [cs.CL]The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19
    • [cs.CL]Tokenization Repair in the Presence of Spelling Errors
    • [cs.CL]Understanding Neural Abstractive Summarization Models via Uncertainty
    • [cs.CL]Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
    • [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
    • [cs.CL]Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
    • [cs.CR]BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
    • [cs.CR]EnCoD: Distinguishing Compressed and Encrypted File Fragments
    • [cs.CR]Federated Learning in Adversarial Settings
    • [cs.CR]Multi-factor authentication for users of non-internet based applications of blockchain-based platforms
    • [cs.CR]Towards Cross-Blockchain Smart Contracts
    • [cs.CV]A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
    • [cs.CV]A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
    • [cs.CV]A Human Eye-based Text Color Scheme Generation Method for Image Synthesis
    • [cs.CV]AI-based BMI Inference from Facial Images: An Application to Weight Monitoring
    • [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
    • [cs.CV]An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
    • [cs.CV]Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
    • [cs.CV]Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
    • [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
    • [cs.CV]Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
    • [cs.CV]CIMON: Towards High-quality Hash Codes
    • [cs.CV]Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
    • [cs.CV]Do End-to-end Stereo Algorithms Under-utilize Information?
    • [cs.CV]Does Data Augmentation Benefit from Split BatchNorms
    • [cs.CV]Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
    • [cs.CV]FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
    • [cs.CV]Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
    • [cs.CV]HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
    • [cs.CV]Improved Multi-Source Domain Adaptation by Preservation of Factors
    • [cs.CV]Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
    • [cs.CV]Interactive Latent Interpolation on MNIST Dataset
    • [cs.CV]Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
    • [cs.CV]LTN: Long-Term Network for Long-Term Motion Prediction
    • [cs.CV]MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
    • [cs.CV]Matching-space Stereo Networks for Cross-domain Generalization
    • [cs.CV]NeRF++: Analyzing and Improving Neural Radiance Fields
    • [cs.CV]Object Tracking Using Spatio-Temporal Future Prediction
    • [cs.CV]Photovoltaic module segmentation and thermal analysis tool from thermal images
    • [cs.CV]Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
    • [cs.CV]Self-Supervised Domain Adaptation with Consistency Training
    • [cs.CV]Self-training for Few-shot Transfer Across Extreme Task Differences
    • [cs.CV]Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
    • [cs.CV]Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
    • [cs.CV]THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
    • [cs.CV]Unsupervised Constrative Person Re-identification
    • [cs.CV]Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
    • [cs.CV]Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
    • [cs.CV]Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features
    • [cs.CY]Assessing the Readiness of Greece for Autonomous Vehicle Technologies
    • [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
    • [cs.CY]Enabling older citizens safe mobility. The ACTIVAGE approach
    • [cs.CY]Enhancement of the e-Invoicing Systems by Increasing the Efficiency of Workflows via Disruptive Technologies
    • [cs.CY]Kids Today: Remote Education in the time of COVID-19
    • [cs.CY]My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
    • [cs.CY]Overview of C-ITS Deployment Projects in Europe and USA
    • [cs.CY]Towards a Flexible Framework for Algorithmic Fairness
    • [cs.DB]Data Readiness Report
    • [cs.DB]Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
    • [cs.DC]A Tendermint Light Client
    • [cs.DC]Mitigating Byzantine Attacks in Federated Learning
    • [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
    • [cs.DC]Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
    • [cs.DC]Towards Self-Improving Hybrid Elasticity Control of Cloud-based Software Systems
    • [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
    • [cs.HC]Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
    • [cs.IR]Hierarchical Text Interaction for Rating Prediction
    • [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
    • [cs.IT]Concentrated Stopping Set Design for Coded Merkle Tree: Improving Security Against Data Availability Attacks in Blockchain Systems
    • [cs.IT]Joint Beamforming and Phase Shift Optimization for Multicell IRS-aided OFDMA-URLLC Systems
    • [cs.IT]Matched Quantized Min-Sum Decoding of Low-Density Parity-Check Codes
    • [cs.IT]Minimization of Age-of-Information in Remote Sensing with Energy Harvesting
    • [cs.IT]Noise Recycling
    • [cs.IT]Secret Sharing from Correlated Gaussian Random Variables and Public Communication
    • [cs.IT]Window Processing of Binary Polarization Kernels
    • [cs.LG]A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
    • [cs.LG]A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
    • [cs.LG]A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
    • [cs.LG]AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
    • [cs.LG]Adaptive Deep Forest for Online Learning from Drifting Data Streams
    • [cs.LG]Adaptive and Universal Single-gradient Algorithms for Variational Inequalities
    • [cs.LG]Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
    • [cs.LG]An Alternative to Backpropagation in Deep Reinforcement Learning
    • [cs.LG]Asynchronous ε-Greedy Bayesian Optimisation
    • [cs.LG]Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
    • [cs.LG]Avoiding Side Effects By Considering Future Tasks
    • [cs.LG]Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
    • [cs.LG]Bi-GCN: Binary Graph Convolutional Network
    • [cs.LG]Bi-level Score Matching for Learning Energy-based Latent Variable Models
    • [cs.LG]Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
    • [cs.LG]Causal Multi-Level Fairness
    • [cs.LG]Certifying Neural Network Robustness to Random Input Noise from Samples
    • [cs.LG]Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
    • [cs.LG]Decision trees as partitioning machines to characterize their generalization properties
    • [cs.LG]Deep Conditional Transformation Models
    • [cs.LG]Deep Generative Modeling in Network Science with Applications to Public Policy Research
    • [cs.LG]Deep Learning of Koopman Representation for Control
    • [cs.LG]Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
    • [cs.LG]Depth-Width Trade-offs for Neural Networks via Topological Entropy
    • [cs.LG]Direct Federated Neural Architecture Search
    • [cs.LG]Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
    • [cs.LG]Explainability for fair machine learning
    • [cs.LG]FAR: A General Framework for Attributional Robustness
    • [cs.LG]Fairness in Streaming Submodular Maximization: Algorithms and Hardness
    • [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
    • [cs.LG]Graph Deep Factors for Forecasting
    • [cs.LG]Human-interpretable model explainability on high-dimensional data
    • [cs.LG]Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
    • [cs.LG]Interpreting Deep Learning Model Using Rule-based Method
    • [cs.LG]Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles
    • [cs.LG]Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
    • [cs.LG]Local Differentially Private Regret Minimization in Reinforcement Learning
    • [cs.LG]Marginal Contribution Feature Importance — an Axiomatic Approach for The Natural Case
    • [cs.LG]Masked Contrastive Representation Learning for Reinforcement Learning
    • [cs.LG]Maximum Moment Restriction for Instrumental Variable Regression
    • [cs.LG]Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
    • [cs.LG]Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
    • [cs.LG]Multi-view Hierarchical Clustering
    • [cs.LG]Neograd: gradient descent with an adaptive learning rate
    • [cs.LG]On Convergence of Nearest Neighbor Classifiers over Feature Transformations
    • [cs.LG]Online Learning with Vector Costs and Bandits with Knapsacks
    • [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
    • [cs.LG]R-GAP: Recursive Gradient Attack on Privacy
    • [cs.LG]Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
    • [cs.LG]Representation Learning via Invariant Causal Mechanisms
    • [cs.LG]Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
    • [cs.LG]RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
    • [cs.LG]Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
    • [cs.LG]Revisiting Projection-free Online Learning: the Strongly Convex Case
    • [cs.LG]Selective Classification via One-Sided Prediction
    • [cs.LG]Spherical Knowledge Distillation
    • [cs.LG]Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
    • [cs.LG]Temperature check: theory and practice for training models with softmax-cross-entropy losses
    • [cs.LG]Theoretical Foundations of Hyperdimensional Computing
    • [cs.LG]Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
    • [cs.LG]Viewmaker Networks: Learning Views for Unsupervised Representation Learning
    • [cs.LG]What you need to know to train recurrent neural networks to make Flip Flops memories and more
    • [cs.MS]DSLib: An open source library for the dominant set clustering method
    • [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
    • [cs.NE]EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
    • [cs.NE]GTOPX Space Mission Benchmarks
    • [cs.OS]PIMOD: A Tool for Configuring Single-Board Computer Operating System Images
    • [cs.PL]The LL(finite) strategy for optimal LL(k) parsing
    • [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
    • [cs.RO]A Reversible Dynamic Movement Primitive formulation
    • [cs.RO]Adaptive tracking control for task-based robot trajectory planning
    • [cs.RO]Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
    • [cs.RO]Development and Validation of a Data Fusion Algorithm with Low-Cost Inertial Measurement Units to Analyze Shoulder Movements in Manual Workers
    • [cs.RO]DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
    • [cs.RO]Dynamic Walking: Toward Agile and Efficient Bipedal Robots
    • [cs.RO]Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
    • [cs.RO]Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices
    • [cs.RO]Locomotion Design for an Internally Actuated Cubic Robot for Exploration of Low Gravity Bodies in the Solar System
    • [cs.RO]Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning
    • [cs.RO]Pick-Place With Uncertain Object Instance Segmentation and Shape Completion
    • [cs.RO]Task-Adaptive Robot Learning from Demonstration under Replication with Gaussian Process Models
    • [cs.RO]alurity, a toolbox for robot cybersecurity
    • [cs.SD]A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation
    • [cs.SD]Melody Classification based on Performance Event Vector and BRNN
    • [cs.SE]Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
    • [cs.SI]Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach
    • [cs.SI]Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data
    • [econ.EM]Comment: Individualized Treatment Rules Under Endogeneity
    • [eess.IV]A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics’ Gramian Matrix
    • [eess.IV]CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
    • [eess.IV]Deep Learning in Ultrasound Elastography Imaging
    • [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
    • [eess.IV]Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
    • [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
    • [eess.IV]Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
    • [eess.IV]LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
    • [eess.IV]The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
    • [eess.IV]XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
    • [eess.SP]Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
    • [eess.SP]Multiscale Optimal Filtering on the Sphere
    • [eess.SP]Reconfigurable Intelligent Surface: Design the Channel — a New Opportunity for Future Wireless Networks
    • [eess.SP]Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
    • [eess.SY]Optimal Dispatch in Emergency Service System via Reinforcement Learning
    • [math.DS]Balanced Colorings and Bifurcations in Rivalry and Opinion Networks
    • [math.OC]An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
    • [math.OC]Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes
    • [math.PR]Moderate deviations for empirical measures for nonhomogeneous Markov chains
    • [math.ST]Anomaly Detection for Bivariate Signals
    • [math.ST]Approximation of BSDE with Hidden Forward Equation and Unknown Volatility
    • [math.ST]Hidden Markov Model Where Higher Noise Makes Smaller Errors
    • [math.ST]On Multi-step Estimation of Delay for SDE
    • [math.ST]On Non Asymptotic Expansion of the MME in the Case of Poisson Observations
    • [math.ST]Quadratic Variation Estimation of Hidden Markov Process and Related Problems
    • [math.ST]Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability
    • [physics.comp-ph]Towards Reflectivity profile inversion through Artificial Neural Networks
    • [physics.soc-ph]Modelling COVID-19 transmission in supermarkets using an agent-based model
    • [q-bio.MN]Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
    • [q-bio.PE]Collective defense of honeybee colonies: experimental results and theoretical modeling
    • [q-bio.QM]Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
    • [quant-ph]Entropic proofs of Singleton bounds for quantum error-correcting codes
    • [stat.AP]How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
    • [stat.AP]On cointegration for modeling and forecasting wind power production
    • [stat.AP]Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics
    • [stat.ME]An Improved Online Penalty Parameter Selection Procedure for $\ell_1$-Penalized Autoregressive with Exogenous Variables
    • [stat.ME]Detecting conflicting summary statistics in likelihood-free inference
    • [stat.ME]Distributional Null Hypothesis Testing with the T distribution
    • [stat.ME]Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
    • [stat.ME]Robust weights that optimally balance confounders for estimating the effect of binary and continuous treatments with time-to-event data
    • [stat.ME]Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
    • [stat.ML]A Theory of Hyperbolic Prototype Learning
    • [stat.ML]Double Robust Representation Learning for Counterfactual Prediction
    • [stat.ML]Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
    • [stat.ML]Magnetic Manifold Hamiltonian Monte Carlo
    • [stat.ML]Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
    • [stat.ML]Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
    • [stat.ML]Statistical Inference for Online Decision Making via Stochastic Gradient Descent

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

    • [astro-ph.SR]Solar coronal magnetic field extrapolation from synchronic data with AI-generated farside
    Hyunjin Jeong, Yong-Jae Moon, Eunsu Park, Harim Lee
    http://arxiv.org/abs/2010.07553v1

    • [cond-mat.soft]Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
    Stephen Wu, Hironao Yamada, Yoshihiro Hayashi, Massimiliano Zamengo, Ryo Yoshida
    http://arxiv.org/abs/2010.07683v1

    • [cs.AI]A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media
    Shakshi Sharma, Rajesh Sharma
    http://arxiv.org/abs/2010.07647v1

    • [cs.AI]A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
    Fabrice Muhlenbach
    http://arxiv.org/abs/2010.07610v1

    • [cs.AI]Causal Inference in the Presence of Interference in Sponsored Search Advertising
    Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kıcıman
    http://arxiv.org/abs/2010.07458v1

    • [cs.AI]Designing Emergency Response Pipelines : Lessons and Challenges
    Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey
    http://arxiv.org/abs/2010.07504v1

    • [cs.AI]Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
    Alon Jacovi, Ana Marasović, Tim Miller, Yoav Goldberg
    http://arxiv.org/abs/2010.07487v1

    • [cs.AI]GMH: A General Multi-hop Reasoning Model for KG Completion
    Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Zhenglu Yang
    http://arxiv.org/abs/2010.07620v1

    • [cs.AI]Improving Neural Network Verification through Spurious Region Guided Refinement
    Pengfei Yang, Renjue Li, Jianlin Li, Cheng-Chao Huang, Jingyi Wang, Jun Sun, Bai Xue, Lijun Zhang
    http://arxiv.org/abs/2010.07722v1

    • [cs.AI]Multi-Agent Trust Region Policy Optimization
    Hepeng Li, Haibo He
    http://arxiv.org/abs/2010.07916v1

    • [cs.AI]On the Importance of Domain Model Configuration for Automated Planning Engines
    Mauro Vallati, Lukas Chrpa, Thomas L. McCluskey, Frank Hutter
    http://arxiv.org/abs/2010.07710v1

    • [cs.AI]Research on AI Composition Recognition Based on Music Rules
    Yang Deng, Ziyao Xu, Li Zhou, Huanping Liu, Anqi Huang
    http://arxiv.org/abs/2010.07805v1

    • [cs.AI]TDRE: A Tensor Decomposition Based Approach for Relation Extraction
    Bin-Bin Zhao, Liang Li, Hui-Dong Zhang
    http://arxiv.org/abs/2010.07533v1

    • [cs.AI]Uncertainty Aware Wildfire Management
    Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer
    http://arxiv.org/abs/2010.07915v1

    • [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
    Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen
    http://arxiv.org/abs/2010.07185v2

    • [cs.CL]A new approach for extracting the conceptual schema of texts based on the linguistic Thematic Progression theory
    Elena del Olmo Suárez, Ana María Fernández-Pampillón Cesteros
    http://arxiv.org/abs/2010.07440v1

    • [cs.CL]Compressive Summarization with Plausibility and Salience Modeling
    Shrey Desai, Jiacheng Xu, Greg Durrett
    http://arxiv.org/abs/2010.07886v1

    • [cs.CL]Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
    Zhengxuan Wu, Desmond C. Ong
    http://arxiv.org/abs/2010.07523v1

    • [cs.CL]Continual Learning for Neural Semantic Parsing
    Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah
    http://arxiv.org/abs/2010.07865v1

    • [cs.CL]Decoding Methods for Neural Narrative Generation
    Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc
    http://arxiv.org/abs/2010.07375v1

    • [cs.CL]DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
    Yuzhao Mao, Qi Sun, Guang Liu, Xiaojie Wang, Weiguo Gao, Xuan Li, Jianping Shen
    http://arxiv.org/abs/2010.07637v1

    • [cs.CL]Diverse Keyphrase Generation with Neural Unlikelihood Training
    Hareesh Bahuleyan, Layla El Asri
    http://arxiv.org/abs/2010.07665v1

    • [cs.CL]Does Chinese BERT Encode Word Structure?
    Yile Wang, Leyang Cui, Yue Zhang
    http://arxiv.org/abs/2010.07711v1

    • [cs.CL]Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
    Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
    http://arxiv.org/abs/2010.07835v1

    • [cs.CL]From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli?
    Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
    http://arxiv.org/abs/2010.07435v1

    • [cs.CL]Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
    Simon Flachs, Ophélie Lacroix, Helen Yannakoudakis, Marek Rei, Anders Søgaard
    http://arxiv.org/abs/2010.07574v1

    • [cs.CL]Hierarchical Poset Decoding for Compositional Generalization in Language
    Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
    http://arxiv.org/abs/2010.07792v1

    • [cs.CL]Improving Constituency Parsing with Span Attention
    Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang
    http://arxiv.org/abs/2010.07543v1

    • [cs.CL]Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
    Ekta Sood, Simon Tannert, Philipp Mueller, Andreas Bulling
    http://arxiv.org/abs/2010.07891v1

    • [cs.CL]Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
    Peng Cui, Le Hu, Yuanchao Liu
    http://arxiv.org/abs/2010.07668v1

    • [cs.CL]Learning Better Representation for Tables by Self-Supervised Tasks
    Liang Li, Can Ma, Yinliang Yue, Linjun Shou, Dayong Hu
    http://arxiv.org/abs/2010.07606v1

    • [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
    Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
    http://arxiv.org/abs/2010.07261v2

    • [cs.CL]MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
    Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang
    http://arxiv.org/abs/2010.07497v1

    • [cs.CL]Multi-Task Learning for Cross-Lingual Abstractive Summarization
    Sho Takase, Naoaki Okazaki
    http://arxiv.org/abs/2010.07503v1

    • [cs.CL]NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
    Shubhanker Banerjee, Arun Jayapal, Sajeetha Thavareesan
    http://arxiv.org/abs/2010.07773v1

    • [cs.CL]Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
    Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki
    http://arxiv.org/abs/2010.07522v1

    • [cs.CL]Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
    Ana Marasović, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
    http://arxiv.org/abs/2010.07526v1

    • [cs.CL]Neural Deepfake Detection with Factual Structure of Text
    Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin
    http://arxiv.org/abs/2010.07475v1

    • [cs.CL]On Cross-Dataset Generalization in Automatic Detection of Online Abuse
    Isar Nejadgholi, Svetlana Kiritchenko
    http://arxiv.org/abs/2010.07414v1

    • [cs.CL]Pretrained Language Models for Dialogue Generation with Multiple Input Sources
    Yu Cao, Wei Bi, Meng Fang, Dacheng Tao
    http://arxiv.org/abs/2010.07576v1

    • [cs.CL]Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
    Prathyusha Jwalapuram, Shafiq Joty, Youlin Shen
    http://arxiv.org/abs/2010.07638v1

    • [cs.CL]RNNs can generate bounded hierarchical languages with optimal memory
    John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
    http://arxiv.org/abs/2010.07515v1

    • [cs.CL]Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
    Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao
    http://arxiv.org/abs/2010.07676v1

    • [cs.CL]Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
    Weishi Wang, Shafiq Joty, Steven C. H. Hoi
    http://arxiv.org/abs/2010.07785v1

    • [cs.CL]Semantic Label Smoothing for Sequence to Sequence Problems
    Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, Sanjiv Kumar
    http://arxiv.org/abs/2010.07447v1

    • [cs.CL]Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection
    Laura Oberländer, Roman Klinger
    http://arxiv.org/abs/2010.07557v1

    • [cs.CL]Six Attributes of Unhealthy Conversation
    Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
    http://arxiv.org/abs/2010.07410v1

    • [cs.CL]The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19
    Hoang Van, Ahmad Musa, Mihai Surdeanu, Stephen Kobourov
    http://arxiv.org/abs/2010.07466v1

    • [cs.CL]Tokenization Repair in the Presence of Spelling Errors
    Hannah Bast, Matthias Hertel, Mostafa M. Mohamed
    http://arxiv.org/abs/2010.07878v1

    • [cs.CL]Understanding Neural Abstractive Summarization Models via Uncertainty
    Jiacheng Xu, Shrey Desai, Greg Durrett
    http://arxiv.org/abs/2010.07882v1

    • [cs.CL]Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
    Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith
    http://arxiv.org/abs/2010.07761v1

    • [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
    Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
    http://arxiv.org/abs/2010.07717v1

    • [cs.CL]Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
    George Michalopoulos, Helen Chen, Alexander Wong
    http://arxiv.org/abs/2010.07816v1

    • [cs.CR]BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
    Harsh Bimal Desai, Mustafa Safa Ozdayi, Murat Kantarcioglu
    http://arxiv.org/abs/2010.07427v1

    • [cs.CR]EnCoD: Distinguishing Compressed and Encrypted File Fragments
    Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
    http://arxiv.org/abs/2010.07754v1

    • [cs.CR]Federated Learning in Adversarial Settings
    Raouf Kerkouche, Gergely Ács, Claude Castelluccia
    http://arxiv.org/abs/2010.07808v1

    • [cs.CR]Multi-factor authentication for users of non-internet based applications of blockchain-based platforms
    Andrew Kinai, Fred Otieno, Nelson Bore, Komminist Weldemariam
    http://arxiv.org/abs/2010.07818v1

    • [cs.CR]Towards Cross-Blockchain Smart Contracts
    Markus Nissl, Emanuel Sallinger, Stefan Schulte, Michael Borkowski
    http://arxiv.org/abs/2010.07352v1

    • [cs.CV]A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
    Xin Jin, Xiqiao Li, Heng Huang, Xiaodong Li, Xinghui Zhou
    http://arxiv.org/abs/2010.07661v1

    • [cs.CV]A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
    Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin
    http://arxiv.org/abs/2010.07849v1

    • [cs.CV]A Human Eye-based Text Color Scheme Generation Method for Image Synthesis
    Shao Wei Wang, Guan Jie Huang, Xiang Yu Luo
    http://arxiv.org/abs/2010.07510v1

    • [cs.CV]AI-based BMI Inference from Facial Images: An Application to Weight Monitoring
    Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean
    http://arxiv.org/abs/2010.07442v1

    • [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
    Nanyu Li, Charles C. Zhou
    http://arxiv.org/abs/2010.06907v2

    • [cs.CV]An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
    Mehdi Miah, Justine Pepin, Nicolas Saunier, Guillaume-Alexandre Bilodeau
    http://arxiv.org/abs/2010.07881v1

    • [cs.CV]Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
    Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
    http://arxiv.org/abs/2010.07930v1

    • [cs.CV]Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
    Yunhai Han, Yuhan Liu, David Paz, Henrik Christensen
    http://arxiv.org/abs/2010.07441v1

    • [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
    Xinyu Yang, Majid Mirmehdi, Tilo Burghardt
    http://arxiv.org/abs/2010.07217v2

    • [cs.CV]Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
    Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
    http://arxiv.org/abs/2010.07811v1

    • [cs.CV]CIMON: Towards High-quality Hash Codes
    Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-sheng Hua
    http://arxiv.org/abs/2010.07804v1

    • [cs.CV]Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
    Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John Anderson
    http://arxiv.org/abs/2010.07445v1

    • [cs.CV]Do End-to-end Stereo Algorithms Under-utilize Information?
    Changjiang Cai, Philippos Mordohai
    http://arxiv.org/abs/2010.07350v1

    • [cs.CV]Does Data Augmentation Benefit from Split BatchNorms
    Amil Merchant, Barret Zoph, Ekin Dogus Cubuk
    http://arxiv.org/abs/2010.07810v1

    • [cs.CV]Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
    Berta Bescos, Cesar Cadena, Jose Neira
    http://arxiv.org/abs/2010.07646v1

    • [cs.CV]FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
    Masakazu Yoshimura, Satoshi Ogata
    http://arxiv.org/abs/2010.07544v1

    • [cs.CV]Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
    Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
    http://arxiv.org/abs/2010.07788v1

    • [cs.CV]HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
    Pengcheng Yuan, Shufei Lin, Cheng Cui, Yuning Du, Ruoyu Guo, Ruoyu Guo, Errui Ding, Shumin Han
    http://arxiv.org/abs/2010.07621v1

    • [cs.CV]Improved Multi-Source Domain Adaptation by Preservation of Factors
    Sebastian Schrom, Stephan Hasler, Jürgen Adamy
    http://arxiv.org/abs/2010.07783v1

    • [cs.CV]Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
    Xiaofei Mao, Jiahao Cao, Dongfang Li, Xia Jia, Qingfang Zheng
    http://arxiv.org/abs/2010.07675v1

    • [cs.CV]Interactive Latent Interpolation on MNIST Dataset
    Mazeyar Moeini Feizabadi, Ali Mohammed Shujjat, Sarah Shahid, Zainab Hasnain
    http://arxiv.org/abs/2010.07581v1

    • [cs.CV]Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
    Gustaf Halvardsson, Johanna Peterson, César Soto-Valero, Benoit Baudry
    http://arxiv.org/abs/2010.07827v1

    • [cs.CV]LTN: Long-Term Network for Long-Term Motion Prediction
    YingQiao Wang
    http://arxiv.org/abs/2010.07931v1

    • [cs.CV]MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
    Patrick Dendorfer, Aljoša Ošep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé
    http://arxiv.org/abs/2010.07548v1

    • [cs.CV]Matching-space Stereo Networks for Cross-domain Generalization
    Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai
    http://arxiv.org/abs/2010.07347v1

    • [cs.CV]NeRF++: Analyzing and Improving Neural Radiance Fields
    Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun
    http://arxiv.org/abs/2010.07492v1

    • [cs.CV]Object Tracking Using Spatio-Temporal Future Prediction
    Yuan Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui
    http://arxiv.org/abs/2010.07605v1

    • [cs.CV]Photovoltaic module segmentation and thermal analysis tool from thermal images
    L. E. Montañez, L. M. Valentín-Coronado, D. Moctezuma, G. Flores
    http://arxiv.org/abs/2010.07356v1

    • [cs.CV]Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
    Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall
    http://arxiv.org/abs/2010.07367v1

    • [cs.CV]Self-Supervised Domain Adaptation with Consistency Training
    L. Xiao, J. Xu, D. Zhao, Z. Wang, L. Wang, Y. Nie, B. Dai
    http://arxiv.org/abs/2010.07539v1

    • [cs.CV]Self-training for Few-shot Transfer Across Extreme Task Differences
    Cheng Perng Phoo, Bharath Hariharan
    http://arxiv.org/abs/2010.07734v1

    • [cs.CV]Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
    Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
    http://arxiv.org/abs/2010.07830v1

    • [cs.CV]Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
    Yinyu Nie, Yiqun Lin, Xiaoguang Han, Shihui Guo, Jian Chang, Shuguang Cui, Jian Jun Zhang
    http://arxiv.org/abs/2010.07428v1

    • [cs.CV]THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
    Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
    http://arxiv.org/abs/2010.07614v1

    • [cs.CV]Unsupervised Constrative Person Re-identification
    Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
    http://arxiv.org/abs/2010.07608v1

    • [cs.CV]Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
    Alisha Sharma, Ryan Nett, Jonathan Ventura
    http://arxiv.org/abs/2010.07704v1

    • [cs.CV]Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
    Yuan Zhou, Xiangrui Li
    http://arxiv.org/abs/2010.07469v1

    • [cs.CV]Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features
    MyeongAh Cho, Taeoh Kim, Sangyoun Lee
    http://arxiv.org/abs/2010.07524v1

    • [cs.CY]Assessing the Readiness of Greece for Autonomous Vehicle Technologies
    Chrysostomos Mylonas, Charis Chalkiadakis, Alexandros Dolianitis, Dimitris Tzanis, Evangelos Mitsakis
    http://arxiv.org/abs/2010.07297v1

    • [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
    Golshan Madraki, Isabella Grasso, Jacqueline Otala, Yu Liu, Jeanna Matthews
    http://arxiv.org/abs/2010.06455v2

    • [cs.CY]Enabling older citizens safe mobility. The ACTIVAGE approach
    Charis Chalkiadakis, Dimitris Tzanis, Evangelos Mitsakis
    http://arxiv.org/abs/2010.07298v1

    • [cs.CY]Enhancement of the e-Invoicing Systems by Increasing the Efficiency of Workflows via Disruptive Technologies
    Hiruni Gunaratne, Ingrid Pappel
    http://arxiv.org/abs/2010.07636v1

    • [cs.CY]Kids Today: Remote Education in the time of COVID-19
    Adriana Mejia Castaño, Javier E Hernandez, Angie Mendez Llanos
    http://arxiv.org/abs/2010.07295v1

    • [cs.CY]My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
    Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N’godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein
    http://arxiv.org/abs/2010.07292v1

    • [cs.CY]Overview of C-ITS Deployment Projects in Europe and USA
    Areti Kotsi, Evangelos Mitsakis, Dimitris Tzanis
    http://arxiv.org/abs/2010.07299v1

    • [cs.CY]Towards a Flexible Framework for Algorithmic Fairness
    Philip Hacker, Emil Wiedemann, Meike Zehlike
    http://arxiv.org/abs/2010.07848v1

    • [cs.DB]Data Readiness Report
    Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel
    http://arxiv.org/abs/2010.07213v2

    • [cs.DB]Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
    Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou
    http://arxiv.org/abs/2010.07586v1

    • [cs.DC]A Tendermint Light Client
    Sean Braithwaite, Ethan Buchman, Ismail Khoffi, Igor Konnov, Zarko Milosevic, Romain Ruetschi, Josef Widder
    http://arxiv.org/abs/2010.07031v2

    • [cs.DC]Mitigating Byzantine Attacks in Federated Learning
    Saurav Prakash, Amir Salman Avestimehr
    http://arxiv.org/abs/2010.07541v1

    • [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
    Weile Wei, Arghya Chatterjee, Kevin Huck, Oscar Hernandez, Hartmut Kaiser
    http://arxiv.org/abs/2010.07098v2

    • [cs.DC]Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
    Janardhan Kulkarni, Stefan Schmid, Paweł Schmidt
    http://arxiv.org/abs/2010.07920v1

    • [cs.DC]Towards Self-Improving Hybrid Elasticity Control of Cloud-based Software Systems
    Mohan Baruwal Chhetri, Abdur Rahim Mohammad Forkan, Anton V. Uzunov, Surya Nepal
    http://arxiv.org/abs/2010.07584v1

    • [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
    Mingyu Cai, Shaoping Xiao, Baoluo Li, Zhiliang Li, Zhen Kan
    http://arxiv.org/abs/2010.06797v2

    • [cs.HC]Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
    Benjamin Newman, Kevin Carlberg, Ruta Desai
    http://arxiv.org/abs/2010.07358v1

    • [cs.IR]Hierarchical Text Interaction for Rating Prediction
    Jiahui Wen, Jingwei Ma, Hongkui Tu, Wei Yin, Jian Fang
    http://arxiv.org/abs/2010.07628v1

    • [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
    Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cedric Adijh
    http://arxiv.org/abs/2010.07430v1

    • [cs.IT]Concentrated Stopping Set Design for Coded Merkle Tree: Improving Security Against Data Availability Attacks in Blockchain Systems
    Debarnab Mitra, Lev Tauz, Lara Dolecek
    http://arxiv.org/abs/2010.07363v1

    • [cs.IT]Joint Beamforming and Phase Shift Optimization for Multicell IRS-aided OFDMA-URLLC Systems
    Walid R. Ghanem, Vahid Jamali, Robert Schober
    http://arxiv.org/abs/2010.07698v1

    • [cs.IT]Matched Quantized Min-Sum Decoding of Low-Density Parity-Check Codes
    Emna Ben Yacoub
    http://arxiv.org/abs/2010.07538v1

    • [cs.IT]Minimization of Age-of-Information in Remote Sensing with Energy Harvesting
    Akanksha Jaiswal, Arpan Chattopadhyay
    http://arxiv.org/abs/2010.07626v1

    • [cs.IT]Noise Recycling
    Alejandro Cohen, Amit Solomon, Ken R. Duffy, Muriel Médard
    http://arxiv.org/abs/2010.07791v1

    • [cs.IT]Secret Sharing from Correlated Gaussian Random Variables and Public Communication
    Vidhi Rana, Remi A. Chou, Hyuck Kwon
    http://arxiv.org/abs/2010.07536v1

    • [cs.IT]Window Processing of Binary Polarization Kernels
    Grigorii Trofimiuk, Peter Trifonov
    http://arxiv.org/abs/2010.07884v1

    • [cs.LG]A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
    Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
    http://arxiv.org/abs/2010.07611v1

    • [cs.LG]A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
    Y. Yang, P. Xiao, B. Liao, N. Deligiannis
    http://arxiv.org/abs/2010.07564v1

    • [cs.LG]A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
    Arnu Pretorius, Scott Cameron, Elan van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
    http://arxiv.org/abs/2010.07777v1

    • [cs.LG]AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
    Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha Dvornek, Yifan Ding, Xenophon Papademetris, James S. Duncan
    http://arxiv.org/abs/2010.07468v1

    • [cs.LG]Adaptive Deep Forest for Online Learning from Drifting Data Streams
    Łukasz Korycki, Bartosz Krawczyk
    http://arxiv.org/abs/2010.07340v1

    • [cs.LG]Adaptive and Universal Single-gradient Algorithms for Variational Inequalities
    Alina Ene, Huy L. Nguyen
    http://arxiv.org/abs/2010.07799v1

    • [cs.LG]Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
    Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
    http://arxiv.org/abs/2010.07650v1

    • [cs.LG]An Alternative to Backpropagation in Deep Reinforcement Learning
    Stephen Chung
    http://arxiv.org/abs/2010.07893v1

    • [cs.LG]Asynchronous ε-Greedy Bayesian Optimisation
    George De Ath, Richard Eversonn Jonathan Fieldsend
    http://arxiv.org/abs/2010.07615v1

    • [cs.LG]Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
    Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen
    http://arxiv.org/abs/2010.07474v1

    • [cs.LG]Avoiding Side Effects By Considering Future Tasks
    Victoria Krakovna, Laurent Orseau, Richard Ngo, Miljan Martic, Shane Legg
    http://arxiv.org/abs/2010.07877v1

    • [cs.LG]Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
    Jun Fu, Wei Zhou, Zhibo Chen
    http://arxiv.org/abs/2010.07498v1

    • [cs.LG]Bi-GCN: Binary Graph Convolutional Network
    Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo
    http://arxiv.org/abs/2010.07565v1

    • [cs.LG]Bi-level Score Matching for Learning Energy-based Latent Variable Models
    Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
    http://arxiv.org/abs/2010.07856v1

    • [cs.LG]Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
    Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
    http://arxiv.org/abs/2010.07378v1

    • [cs.LG]Causal Multi-Level Fairness
    Vishwali Mhasawade, Rumi Chunara
    http://arxiv.org/abs/2010.07343v1

    • [cs.LG]Certifying Neural Network Robustness to Random Input Noise from Samples
    Brendon G. Anderson, Somayeh Sojoudi
    http://arxiv.org/abs/2010.07532v1

    • [cs.LG]Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
    Ruiyuan Lin, Suya You, Raghuveer Rao, C. -C. Jay Kuo
    http://arxiv.org/abs/2010.07871v1

    • [cs.LG]Decision trees as partitioning machines to characterize their generalization properties
    Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
    http://arxiv.org/abs/2010.07374v1

    • [cs.LG]Deep Conditional Transformation Models
    Philipp F. M. Baumann, Torsten Hothorn, David Rügamer
    http://arxiv.org/abs/2010.07860v1

    • [cs.LG]Deep Generative Modeling in Network Science with Applications to Public Policy Research
    Gavin Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowski, C. Ben Gibson, Federico Girosi, David Kennedy, Osonde Osoba
    http://arxiv.org/abs/2010.07870v1

    • [cs.LG]Deep Learning of Koopman Representation for Control
    Yiqiang Han, Wenjian Hao, Umesh Vaidya
    http://arxiv.org/abs/2010.07546v1

    • [cs.LG]Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
    Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
    http://arxiv.org/abs/2010.07842v1

    • [cs.LG]Depth-Width Trade-offs for Neural Networks via Topological Entropy
    Kaifeng Bu, Yaobo Zhang, Qingxian Luo
    http://arxiv.org/abs/2010.07587v1

    • [cs.LG]Direct Federated Neural Architecture Search
    Anubhav Garg, Amit Kumar Saha, Debo Dutta
    http://arxiv.org/abs/2010.06223v2

    • [cs.LG]Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
    Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang
    http://arxiv.org/abs/2010.07359v1

    • [cs.LG]Explainability for fair machine learning
    Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
    http://arxiv.org/abs/2010.07389v1

    • [cs.LG]FAR: A General Framework for Attributional Robustness
    Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
    http://arxiv.org/abs/2010.07393v1

    • [cs.LG]Fairness in Streaming Submodular Maximization: Algorithms and Hardness
    Marwa El Halabi, Slobodan Mitrović, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
    http://arxiv.org/abs/2010.07431v1

    • [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
    Moming Duan, Duo Liu, Xinyuan Ji, Renping Liu, Liang Liang, Xianzhang Chen, Yujuan Tan
    http://arxiv.org/abs/2010.06870v2

    • [cs.LG]Graph Deep Factors for Forecasting
    Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
    http://arxiv.org/abs/2010.07373v1

    • [cs.LG]Human-interpretable model explainability on high-dimensional data
    Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige
    http://arxiv.org/abs/2010.07384v1

    • [cs.LG]Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
    Andrei V. Konstantinov, Lev V. Utkin
    http://arxiv.org/abs/2010.07388v1

    • [cs.LG]Interpreting Deep Learning Model Using Rule-based Method
    Xiaojian Wang, Jingyuan Wang, Ke Tang
    http://arxiv.org/abs/2010.07824v1

    • [cs.LG]Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles
    Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
    http://arxiv.org/abs/2010.07382v1

    • [cs.LG]Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
    Matthew L. Leavitt, Ari Morcos
    http://arxiv.org/abs/2010.07693v1

    • [cs.LG]Local Differentially Private Regret Minimization in Reinforcement Learning
    Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
    http://arxiv.org/abs/2010.07778v1

    • [cs.LG]Marginal Contribution Feature Importance — an Axiomatic Approach for The Natural Case
    Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
    http://arxiv.org/abs/2010.07910v1

    • [cs.LG]Masked Contrastive Representation Learning for Reinforcement Learning
    Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
    http://arxiv.org/abs/2010.07470v1

    • [cs.LG]Maximum Moment Restriction for Instrumental Variable Regression
    Rui Zhang, Masaaki Imaizumi, Bernhard Schölkopf, Krikamol Muandet
    http://arxiv.org/abs/2010.07684v1

    • [cs.LG]Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
    Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
    http://arxiv.org/abs/2010.07494v1

    • [cs.LG]Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
    Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
    http://arxiv.org/abs/2010.07459v1

    • [cs.LG]Multi-view Hierarchical Clustering
    Qinghai Zheng, Jihua Zhu, Shuangxun Ma
    http://arxiv.org/abs/2010.07573v1

    • [cs.LG]Neograd: gradient descent with an adaptive learning rate
    Michael F. Zimmer
    http://arxiv.org/abs/2010.07873v1

    • [cs.LG]On Convergence of Nearest Neighbor Classifiers over Feature Transformations
    Luka Rimanic, Cedric Renggli, Bo Li, Ce Zhang
    http://arxiv.org/abs/2010.07765v1

    • [cs.LG]Online Learning with Vector Costs and Bandits with Knapsacks
    Thomas Kesselheim, Sahil Singla
    http://arxiv.org/abs/2010.07346v1

    • [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
    Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
    http://arxiv.org/abs/2010.07904v1

    • [cs.LG]R-GAP: Recursive Gradient Attack on Privacy
    Junyi Zhu, Matthew Blaschko
    http://arxiv.org/abs/2010.07733v1

    • [cs.LG]Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
    Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
    http://arxiv.org/abs/2010.07921v1

    • [cs.LG]Representation Learning via Invariant Causal Mechanisms
    Jovana Mitrovic, Brian McWilliams, Jacob Walker, Lars Buesing, Charles Blundell
    http://arxiv.org/abs/2010.07922v1

    • [cs.LG]Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
    Ziqi Wang, Marco Loog, Jan van Gemert
    http://arxiv.org/abs/2010.07591v1

    • [cs.LG]RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
    Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
    http://arxiv.org/abs/2010.07488v1

    • [cs.LG]Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
    Zhen Xiang, David J. Miller, George Kesidis
    http://arxiv.org/abs/2010.07489v1

    • [cs.LG]Revisiting Projection-free Online Learning: the Strongly Convex Case
    Dan Garber, Ben Kretzu
    http://arxiv.org/abs/2010.07572v1

    • [cs.LG]Selective Classification via One-Sided Prediction
    Aditya Gangrade, Anil Kag, Venkatesh Saligrama
    http://arxiv.org/abs/2010.07853v1

    • [cs.LG]Spherical Knowledge Distillation
    Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai
    http://arxiv.org/abs/2010.07485v1

    • [cs.LG]Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
    Shibo Zhou, Xiaohua Li
    http://arxiv.org/abs/2010.07803v1

    • [cs.LG]Temperature check: theory and practice for training models with softmax-cross-entropy losses
    Atish Agarwala, Jeffrey Pennington, Yann Dauphin, Sam Schoenholz
    http://arxiv.org/abs/2010.07344v1

    • [cs.LG]Theoretical Foundations of Hyperdimensional Computing
    Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing
    http://arxiv.org/abs/2010.07426v1

    • [cs.LG]Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
    Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein
    http://arxiv.org/abs/2010.07334v1

    • [cs.LG]Viewmaker Networks: Learning Views for Unsupervised Representation Learning
    Alex Tamkin, Mike Wu, Noah Goodman
    http://arxiv.org/abs/2010.07432v1

    • [cs.LG]What you need to know to train recurrent neural networks to make Flip Flops memories and more
    Cecilia Jarne
    http://arxiv.org/abs/2010.07858v1

    • [cs.MS]DSLib: An open source library for the dominant set clustering method
    Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino, Marcello Pelillo
    http://arxiv.org/abs/2010.07906v1

    • [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
    Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos
    http://arxiv.org/abs/2010.06209v3

    • [cs.NE]EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
    Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier
    http://arxiv.org/abs/2010.07859v1

    • [cs.NE]GTOPX Space Mission Benchmarks
    Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
    http://arxiv.org/abs/2010.07517v1

    • [cs.OS]PIMOD: A Tool for Configuring Single-Board Computer Operating System Images
    Jonas Höchst, Alvar Penning, Patrick Lampe, Bernd Freisleben
    http://arxiv.org/abs/2010.07833v1

    • [cs.PL]The LL(finite) strategy for optimal LL(k) parsing
    Peter Belcak
    http://arxiv.org/abs/2010.07874v1

    • [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
    Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
    http://arxiv.org/abs/2010.07133v2

    • [cs.RO]A Reversible Dynamic Movement Primitive formulation
    Antonis Sidiropoulos, Zoe Doulgeri
    http://arxiv.org/abs/2010.07708v1

    • [cs.RO]Adaptive tracking control for task-based robot trajectory planning
    Luis Trucios, Mahdi Tavakoli, Kim Adams
    http://arxiv.org/abs/2010.07406v1

    • [cs.RO]Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
    Zhefan Xu, Di Deng, Kenji Shimada
    http://arxiv.org/abs/2010.07429v1

    • [cs.RO]Development and Validation of a Data Fusion Algorithm with Low-Cost Inertial Measurement Units to Analyze Shoulder Movements in Manual Workers
    Marianne Boyer, Antoine Frasie, Laurent Bouyer, Jean-Sébastien Roy, Isabelle Poitras, Alexandre Campeau-Lecours
    http://arxiv.org/abs/2010.07450v1

    • [cs.RO]DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
    Berta Bescos, Carlos Campos, Juan D. Tardós, José Neira
    http://arxiv.org/abs/2010.07820v1

    • [cs.RO]Dynamic Walking: Toward Agile and Efficient Bipedal Robots
    Jenna Reher, Aaron D. Ames
    http://arxiv.org/abs/2010.07451v1

    • [cs.RO]Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
    Huixin Zhan, Feng Tao, Yongcan Cao
    http://arxiv.org/abs/2010.07467v1

    • [cs.RO]Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices
    Frédéric Schweitzer, Alexandre Campeau-Lecours
    http://arxiv.org/abs/2010.07449v1

    • [cs.RO]Locomotion Design for an Internally Actuated Cubic Robot for Exploration of Low Gravity Bodies in the Solar System
    Alvaro Bátrez, Gustavo Rodriguez-Gomez, Angélica Muñoz-Meléndez
    http://arxiv.org/abs/2010.07476v1

    • [cs.RO]Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning
    Nils Funk, Juan Tarrio, Sotiris Papatheodorou, Marija Popovic, Pablo F. Alcantarilla, Stefan Leutenegger
    http://arxiv.org/abs/2010.07929v1

    • [cs.RO]Pick-Place With Uncertain Object Instance Segmentation and Shape Completion
    Marcus Gualtieri, Robert Platt
    http://arxiv.org/abs/2010.07892v1

    • [cs.RO]Task-Adaptive Robot Learning from Demonstration under Replication with Gaussian Process Models
    Miguel Arduengo, Adrià Colomé, Júlia Borràs, Luis Sentis, Carme Torras
    http://arxiv.org/abs/2010.07795v1

    • [cs.RO]alurity, a toolbox for robot cybersecurity
    Víctor Mayoral-Vilches, Irati Abad-Fernández, Martin Pinzger, Stefan Rass, Bernhard Dieber, Alcino Cunha, Francisco J. Rodríguez-Lera, Giovanni Lacava, Angelica Marotta, Fabio Martinelli, Endika Gil-Uriarte
    http://arxiv.org/abs/2010.07759v1

    • [cs.SD]A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation
    Mingshuo Ding, Yinghao Ma
    http://arxiv.org/abs/2010.07758v1

    • [cs.SD]Melody Classification based on Performance Event Vector and BRNN
    Jinyue Guo, Aozhi Liu, Jing Xiao
    http://arxiv.org/abs/2010.07562v1

    • [cs.SE]Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
    Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao
    http://arxiv.org/abs/2010.07514v1

    • [cs.SI]Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach
    Ilia Karpov, Ekaterina Glazkova
    http://arxiv.org/abs/2010.07923v1

    • [cs.SI]Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data
    Xupin Zhang, Hanjia Lyu, Jiebo Luo
    http://arxiv.org/abs/2010.07845v1

    • [econ.EM]Comment: Individualized Treatment Rules Under Endogeneity
    Sukjin, Han
    http://arxiv.org/abs/2010.07656v1

    • [eess.IV]A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics’ Gramian Matrix
    Kelum Gajamannage, Randy Paffenroth, Anura P. Jayasumana
    http://arxiv.org/abs/2010.07769v1

    • [eess.IV]CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
    Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F Frang, Masahiro Akiba, Jiang Liu
    http://arxiv.org/abs/2010.07486v1

    • [eess.IV]Deep Learning in Ultrasound Elastography Imaging
    Hongliang Li, Manish Bhatt, Zhen Qu, Shiming Zhang, Martin C. Hartel, Ali Khademhosseini, Guy Cloutier
    http://arxiv.org/abs/2010.07360v1

    • [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
    Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein
    http://arxiv.org/abs/2010.06824v2

    • [eess.IV]Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
    Evgenii Sovetkin, Elbert Jan Achterberg, Thomas Weber, Bart E. Pieters
    http://arxiv.org/abs/2010.07556v1

    • [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
    Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
    http://arxiv.org/abs/2010.07233v1

    • [eess.IV]Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
    Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
    http://arxiv.org/abs/2010.07411v1

    • [eess.IV]LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
    Benlei Cui, XueMei Dong, Qiaoqiao Zhan, Jiangtao Peng, Weiwei Sun
    http://arxiv.org/abs/2010.07726v1

    • [eess.IV]The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
    Ewa Nowara, Daniel McDuff, Ashok Veeraraghavan
    http://arxiv.org/abs/2010.07770v1

    • [eess.IV]XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
    Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
    http://arxiv.org/abs/2010.07290v1

    • [eess.SP]Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
    Maximilian P Oppelt, Maximilian Riehl, Felix P Kemeth, Jan Steffan
    http://arxiv.org/abs/2010.07639v1

    • [eess.SP]Multiscale Optimal Filtering on the Sphere
    Adeem Aslam, Zubair Khalid, Jason D. McEwen
    http://arxiv.org/abs/2010.07809v1

    • [eess.SP]Reconfigurable Intelligent Surface: Design the Channel — a New Opportunity for Future Wireless Networks
    Miguel Dajer, Zhengxiang Ma, Leonard Piazzi, Narayan Prasad, Xiao-Feng Qi, Baoling Sheen, Jin Yang, Guosen Yue
    http://arxiv.org/abs/2010.07408v1

    • [eess.SP]Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
    Ahmet M. Elbir, Gokhan Gurbilek, Burak Soner, Sinem Coleri
    http://arxiv.org/abs/2010.07602v1

    • [eess.SY]Optimal Dispatch in Emergency Service System via Reinforcement Learning
    Cheng Hua, Tauhid Zaman
    http://arxiv.org/abs/2010.07513v1

    • [math.DS]Balanced Colorings and Bifurcations in Rivalry and Opinion Networks
    Ian Stewart
    http://arxiv.org/abs/2010.07716v1

    • [math.OC]An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
    Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
    http://arxiv.org/abs/2010.07531v1

    • [math.OC]Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes
    Ali Devran Kara, Serdar Yuksel
    http://arxiv.org/abs/2010.07452v1

    • [math.PR]Moderate deviations for empirical measures for nonhomogeneous Markov chains
    Mingzhou Xu, Kun Cheng
    http://arxiv.org/abs/2010.07501v1

    • [math.ST]Anomaly Detection for Bivariate Signals
    Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
    http://arxiv.org/abs/2010.07420v1

    • [math.ST]Approximation of BSDE with Hidden Forward Equation and Unknown Volatility
    Oleg V. Chernoyarov, Yury A. Kutoyants
    http://arxiv.org/abs/2010.07618v1

    • [math.ST]Hidden Markov Model Where Higher Noise Makes Smaller Errors
    Yury A. Kutoyants
    http://arxiv.org/abs/2010.07596v1

    • [math.ST]On Multi-step Estimation of Delay for SDE
    Yury A. Kutoyants
    http://arxiv.org/abs/2010.07624v1

    • [math.ST]On Non Asymptotic Expansion of the MME in the Case of Poisson Observations
    O. V. Chernoyarov, A. S. Dabye, F. N. Diop, Yu. A. Kutoyants
    http://arxiv.org/abs/2010.07612v1

    • [math.ST]Quadratic Variation Estimation of Hidden Markov Process and Related Problems
    Yury A. Kutoyants
    http://arxiv.org/abs/2010.07603v1

    • [math.ST]Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability
    Tobias Fritz, Tomáš Gonda, Paolo Perrone, Eigil Fjeldgren Rischel
    http://arxiv.org/abs/2010.07416v1

    • [physics.comp-ph]Towards Reflectivity profile inversion through Artificial Neural Networks
    Juan Manuel Carmona-Loaiza
    http://arxiv.org/abs/2010.07634v1

    • [physics.soc-ph]Modelling COVID-19 transmission in supermarkets using an agent-based model
    Fabian Ying, Neave O’Clery
    http://arxiv.org/abs/2010.07868v1

    • [q-bio.MN]Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
    Adriaan-Alexander Ludl, Tom Michoel
    http://arxiv.org/abs/2010.07417v1

    • [q-bio.PE]Collective defense of honeybee colonies: experimental results and theoretical modeling
    Andrea López-Incera, Morgane Nouvian, Katja Ried, Thomas Müller, Hans J. Briegel
    http://arxiv.org/abs/2010.07326v1

    • [q-bio.QM]Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
    Axel Wismüller, Larry Stockmaster
    http://arxiv.org/abs/2010.07437v1

    • [quant-ph]Entropic proofs of Singleton bounds for quantum error-correcting codes
    Markus Grassl, Felix Huber, Andreas Winter
    http://arxiv.org/abs/2010.07902v1

    • [stat.AP]How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
    Adam Peterson, Veronica Berrocal, Emma Sanchez-Vaznaugh, Brisa Sanchez
    http://arxiv.org/abs/2010.07348v1

    • [stat.AP]On cointegration for modeling and forecasting wind power production
    Florian Ziel, Antonia Arsova
    http://arxiv.org/abs/2010.07857v1

    • [stat.AP]Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics
    Valentin Sulzer, Peyman Mohtat, Suhak Lee, Jason B. Siegel, Anna G. Stefanopoulou
    http://arxiv.org/abs/2010.07460v1

    • [stat.ME]An Improved Online Penalty Parameter Selection Procedure for $\ell_1$-Penalized Autoregressive with Exogenous Variables
    William B. Nicholson, Xiaohan Yan
    http://arxiv.org/abs/2010.07594v1

    • [stat.ME]Detecting conflicting summary statistics in likelihood-free inference
    Yinan Mao, Xueou Wang, David J. Nott, Michael Evans
    http://arxiv.org/abs/2010.07465v1

    • [stat.ME]Distributional Null Hypothesis Testing with the T distribution
    Fintan Costello, Paul Watts
    http://arxiv.org/abs/2010.07813v1

    • [stat.ME]Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
    Wookyeong Song, Hee-Seok Oh, Yaeji Lim, Ying Kuen Cheung
    http://arxiv.org/abs/2010.07462v1

    • [stat.ME]Robust weights that optimally balance confounders for estimating the effect of binary and continuous treatments with time-to-event data
    Michele Santacatterina
    http://arxiv.org/abs/2010.07695v1

    • [stat.ME]Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
    Dongjun Kim, Kyungwoo Song, YoonYeong Kim, Yongjin Shin, Il-Chul Moon
    http://arxiv.org/abs/2010.07604v1

    • [stat.ML]A Theory of Hyperbolic Prototype Learning
    Martin Keller-Ressel
    http://arxiv.org/abs/2010.07744v1

    • [stat.ML]Double Robust Representation Learning for Counterfactual Prediction
    Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
    http://arxiv.org/abs/2010.07866v1

    • [stat.ML]Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
    Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek
    http://arxiv.org/abs/2010.07355v1

    • [stat.ML]Magnetic Manifold Hamiltonian Monte Carlo
    James A. Brofos, Roy R. Lederman
    http://arxiv.org/abs/2010.07753v1

    • [stat.ML]Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
    Vincent Le Guen, Nicolas Thome
    http://arxiv.org/abs/2010.07349v1

    • [stat.ML]Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
    HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
    http://arxiv.org/abs/2010.07422v1

    • [stat.ML]Statistical Inference for Online Decision Making via Stochastic Gradient Descent
    Haoyu Chen, Wenbin Lu, Rui Song
    http://arxiv.org/abs/2010.07341v1