cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math-ph - 数学物理 math.DS - 动力系统 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 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

    • [cs.AI]Disentangling causal effects for hierarchical reinforcement learning
    • [cs.AI]EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
    • [cs.AI]Entity Embedding as Game Representation
    • [cs.AI]Explainability via Responsibility
    • [cs.AI]Explanation Ontology in Action: A Clinical Use-Case
    • [cs.AI]Explanation Ontology: A Model of Explanations for User-Centered AI
    • [cs.AI]Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming
    • [cs.AI]Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
    • [cs.AI]TabEAno: Table to Knowledge Graph Entity Annotation
    • [cs.CL]”LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently
    • [cs.CL]A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
    • [cs.CL]A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
    • [cs.CL]A Multi-task Learning Framework for Opinion Triplet Extraction
    • [cs.CL]A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
    • [cs.CL]A Streaming Approach For Efficient Batched Beam Search
    • [cs.CL]A Survey of Unsupervised Dependency Parsing
    • [cs.CL]AI pptX: Robust Continuous Learning for Document Generation with AI Insights
    • [cs.CL]Adversarial Attack and Defense of Structured Prediction Models
    • [cs.CL]An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
    • [cs.CL]Aspect-Based Sentiment Analysis in Education Domain
    • [cs.CL]Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
    • [cs.CL]Automatic Extraction of Rules Governing Morphological Agreement
    • [cs.CL]Corpora Evaluation and System Bias Detection in Multi-document Summarization
    • [cs.CL]Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
    • [cs.CL]DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
    • [cs.CL]Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
    • [cs.CL]Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
    • [cs.CL]Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
    • [cs.CL]Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
    • [cs.CL]Explaining Deep Neural Networks
    • [cs.CL]Explaining The Efficacy of Counterfactually-Augmented Data
    • [cs.CL]Exploring Semantic Capacity of Terms
    • [cs.CL]Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection
    • [cs.CL]GenAug: Data Augmentation for Finetuning Text Generators
    • [cs.CL]Generating Dialogue Responses from a Semantic Latent Space
    • [cs.CL]GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
    • [cs.CL]Improving AMR Parsing with Sequence-to-Sequence Pre-training
    • [cs.CL]Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
    • [cs.CL]Inquisitive Question Generation for High Level Text Comprehension
    • [cs.CL]Knowledge Association with Hyperbolic Knowledge Graph Embeddings
    • [cs.CL]Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
    • [cs.CL]Learning from Context or Names? An Empirical Study on Neural Relation Extraction
    • [cs.CL]Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus
    • [cs.CL]Lifelong Language Knowledge Distillation
    • [cs.CL]Linguistic Profiling of a Neural Language Model
    • [cs.CL]Local Additivity Based Data Augmentation for Semi-supervised NER
    • [cs.CL]MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
    • [cs.CL]MIME: MIMicking Emotions for Empathetic Response Generation
    • [cs.CL]Meta Sequence Learning and Its Applications
    • [cs.CL]Mining Knowledge for Natural Language Inference from Wikipedia Categories
    • [cs.CL]Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
    • [cs.CL]Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
    • [cs.CL]Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
    • [cs.CL]Multi-turn Response Selection using Dialogue Dependency Relations
    • [cs.CL]Multilevel Text Alignment with Cross-Document Attention
    • [cs.CL]On Losses for Modern Language Models
    • [cs.CL]On the Effects of Knowledge-Augmented Data in Word Embeddings
    • [cs.CL]On the Frailty of Universal POS Tags for Neural UD Parsers
    • [cs.CL]Optimal Neural Program Synthesis from Multimodal Specifications
    • [cs.CL]PUM at SemEval-2020 Task 12: Aggregation of Transformer-based models’ features for offensive language recognition
    • [cs.CL]Paragraph-Level Commonsense Transformers with Recurrent Memory
    • [cs.CL]Pareto Probing: Trading Off Accuracy for Complexity
    • [cs.CL]Partially-Aligned Data-to-Text Generation with Distant Supervision
    • [cs.CL]Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
    • [cs.CL]Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
    • [cs.CL]PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings
    • [cs.CL]Reading Comprehension as Natural Language Inference: A Semantic Analysis
    • [cs.CL]Regularizing Dialogue Generation by Imitating Implicit Scenarios
    • [cs.CL]Reverse Operation based Data Augmentation for Solving Math Word Problems
    • [cs.CL]STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
    • [cs.CL]Second-Order NLP Adversarial Examples
    • [cs.CL]Self-training Improves Pre-training for Natural Language Understanding
    • [cs.CL]Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
    • [cs.CL]Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
    • [cs.CL]Speakers Fill Lexical Semantic Gaps with Context
    • [cs.CL]Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
    • [cs.CL]The Grammar of Emergent Languages
    • [cs.CL]Towards Interpretable Reasoning over Paragraph Effects in Situation
    • [cs.CL]Transformer-Based Neural Text Generation with Syntactic Guidance
    • [cs.CL]Unsupervised Cross-lingual Image Captioning
    • [cs.CL]Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
    • [cs.CL]Viable Threat on News Reading: Generating Biased News Using Natural Language Models
    • [cs.CL]Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
    • [cs.CL]When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised
    • [cs.CL]X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset
    • [cs.CR]Data Augmentation Based Malware Detection using Convolutional Neural Networks
    • [cs.CR]Mossad: Defeating Software Plagiarism Detection
    • [cs.CR]Why Older Adults (Don’t) Use Password Managers
    • [cs.CV]3D Orientation Field Transform
    • [cs.CV]A New Mask R-CNN Based Method for Improved Landslide Detection
    • [cs.CV]A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
    • [cs.CV]A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery
    • [cs.CV]A Study for Universal Adversarial Attacks on Texture Recognition
    • [cs.CV]A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
    • [cs.CV]A simulation environment for drone cinematography
    • [cs.CV]AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture
    • [cs.CV]Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
    • [cs.CV]Adversarial and Natural Perturbations for General Robustness
    • [cs.CV]Attention Guided Semantic Relationship Parsing for Visual Question Answering
    • [cs.CV]Automatic label correction based on CCESD
    • [cs.CV]BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer
    • [cs.CV]Best Buddies Registration for Point Clouds
    • [cs.CV]Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
    • [cs.CV]Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
    • [cs.CV]Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild
    • [cs.CV]Depth-wise layering of 3d images using dense depth maps: a threshold based approach
    • [cs.CV]Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
    • [cs.CV]Ego-Motion Alignment from Face Detections for Collaborative Augmented Reality
    • [cs.CV]End-to-End Training of CNN Ensembles for Person Re-Identification
    • [cs.CV]EqCo: Equivalent Rules for Self-supervised Contrastive Learning
    • [cs.CV]Gaussian Vector: An Efficient Solution for Facial Landmark Detection
    • [cs.CV]Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition
    • [cs.CV]Generating Gameplay-Relevant Art Assets with Transfer Learning
    • [cs.CV]Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach
    • [cs.CV]Holistic static and animated 3D scene generation from diverse text descriptions
    • [cs.CV]Joint Pruning & Quantization for Extremely Sparse Neural Networks
    • [cs.CV]Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy
    • [cs.CV]LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements
    • [cs.CV]Learning Complete 3D Morphable Face Models from Images and Videos
    • [cs.CV]Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
    • [cs.CV]MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision
    • [cs.CV]MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network
    • [cs.CV]MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
    • [cs.CV]MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
    • [cs.CV]MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
    • [cs.CV]Mind the Pad — CNNs can Develop Blind Spots
    • [cs.CV]Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure
    • [cs.CV]Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
    • [cs.CV]Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
    • [cs.CV]Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Step-By-Step Learning
    • [cs.CV]Probabilistic 3D surface reconstruction from sparse MRI information
    • [cs.CV]Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
    • [cs.CV]Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
    • [cs.CV]Supporting large-scale image recognition with out-of-domain samples
    • [cs.CV]TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network
    • [cs.CV]The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge
    • [cs.CV]UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
    • [cs.CV]Unknown Presentation Attack Detection against Rational Attackers
    • [cs.CV]Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network
    • [cs.CY]A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic
    • [cs.CY]Facebook Political Ads And Accountability: Outside Groups Are Most Negative, Especially When Microtargeting Or Hiding Donors
    • [cs.CY]Understanding Incentivized Mobile App Installs on Google Play Store
    • [cs.DB]LEAPME: Learning-based Property Matching with Embeddings
    • [cs.DC]A Discrete and Continuous Study of the Max-Chain-Formation Problem
    • [cs.DC]Diagonal Memory Optimisation for Machine Learni
    608d
    ng on Micro-controllers
    • [cs.DC]Distributed Constructions of Dual-Failure Fault-Tolerant Distance Preservers
    • [cs.DC]Diversity/Parallelism Trade-off in Distributed Systems with Redundancy
    • [cs.DC]DuoBFT: Resilience vs. Efficiency Trade-off in Byzantine Fault Tolerance
    • [cs.DC]Exploring the acceleration of the Met Office NERC Cloud model using FPGAs
    • [cs.DC]F2ED-Learning: Good Fences Make Good Neighbors
    • [cs.DC]High level programming abstractions for leveraging hierarchical memories with micro-core architectures
    • [cs.DC]It’s all about data movement: Optimising FPGA data access to boost performance
    • [cs.DC]Specification of the Giskard Consensus Protocol
    • [cs.DC]Spiking Neural Networks Through the Lens of Streaming Algorithms
    • [cs.DC]TRIX: Low-Skew Pulse Propagation for Fault-Tolerant Hardware
    • [cs.DC]The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing
    • [cs.DC]iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing
    • [cs.DL]The Importance of Conference Proceedings in Research Evaluation: a Methodology for Assessing Conference Impact
    • [cs.ET]Robust High-dimensional Memory-augmented Neural Networks
    • [cs.GR]Photon-Driven Neural Path Guiding
    • [cs.HC]Facial gesture interfaces for expression and communication
    • [cs.IR]Fairness and Diversity for Rankings in Two-Sided Markets
    • [cs.IR]Hit ratio: An Evaluation Metric for Hashtag Recommendation
    • [cs.IR]Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach
    • [cs.IR]Multi-Modal Retrieval using Graph Neural Networks
    • [cs.IR]Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
    • [cs.IR]On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics
    • [cs.IR]PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
    • [cs.IT]Codes for Distributed Storage
    • [cs.IT]Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
    • [cs.IT]Large System Analysis of Box-Relaxation in Correlated Massive MIMO Channels Under Imperfect CSI
    • [cs.IT]Latency optimal storage and scheduling of replicated fragments for memory-constrained servers
    • [cs.IT]On the Tradeoff Between Computation and Communication Costs for Distributed Linearly Separable Computation
    • [cs.IT]Random Access with Layered Preambles based on NOMA for Two Different Types of Devices in MTC
    • [cs.IT]Range Expansion for Wireless Power Transfer: A Joint Beamforming and Waveform Architecture
    • [cs.IT]Weighted Sum-Rate Maximization for Multi-IRS-assisted Full-Duplex Systems with Hardware Impairments
    • [cs.LG]$ξ$-torch: differentiable scientific computing library
    • [cs.LG]A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
    • [cs.LG]A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise
    • [cs.LG]A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
    • [cs.LG]A Simple Framework for Uncertainty in Contrastive Learning
    • [cs.LG]A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
    • [cs.LG]A Unified View on Graph Neural Networks as Graph Signal Denoising
    • [cs.LG]AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
    • [cs.LG]An Efficient Algorithm for Cooperative Semi-Bandits
    • [cs.LG]Assisting the Adversary to Improve GAN Training
    • [cs.LG]BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning
    • [cs.LG]Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
    • [cs.LG]Bigeminal Priors Variational auto-encoder
    • [cs.LG]Boosted Semantic Embedding based Discriminative Feature Generation for Texture Analysis
    • [cs.LG]Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
    • [cs.LG]Computational Separation Between Convolutional and Fully-Connected Networks
    • [cs.LG]Conditional Negative Sampling for Contrastive Learning of Visual Representations
    • [cs.LG]CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
    • [cs.LG]CorrAttack: Black-box Adversarial Attack with Structured Search
    • [cs.LG]Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences
    • [cs.LG]DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks
    • [cs.LG]DEMI: Discriminative Estimator of Mutual Information
    • [cs.LG]Data-efficient Online Classification with Siamese Networks and Active Learning
    • [cs.LG]Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
    • [cs.LG]Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
    • [cs.LG]Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
    • [cs.LG]Does Network Width Really Help Adversarial Robustness?
    • [cs.LG]DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis
    • [cs.LG]EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
    • [cs.LG]Efficient Robust Training via Backward Smoothing
    • [cs.LG]Episodic Memory for Learning Subjective-Timescale Models
    • [cs.LG]Estimating conditional density of missing valuesusing deep Gaussian mixture model
    • [cs.LG]Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties
    • [cs.LG]Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
    • [cs.LG]FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
    • [cs.LG]Feature Whitening via Gradient Transformation for Improved Convergence
    • [cs.LG]Federated learning using a mixture of experts
    • [cs.LG]Geometry-aware Instance-reweighted Adversarial Training
    • [cs.LG]Graph Cross Networks with Vertex Infomax Pooling
    • [cs.LG]HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
    • [cs.LG]How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
    • [cs.LG]Improving Generative Imagination in Object-Centric World Models
    • [cs.LG]Integrating Categorical Semantics into Unsupervised Domain Translation
    • [cs.LG]Intermittent Demand Forecasting with Renewal Processes
    • [cs.LG]Interpreting Robust Optimization via Adversarial Influence Functions
    • [cs.LG]Latent neural source recovery via transcoding of simultaneous EEG-fMRI
    • [cs.LG]Learned Hardware/Software Co-Design of Neural Accelerators
    • [cs.LG]Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
    • [cs.LG]Learning Manifold Implicitly via Explicit Heat-Kernel Learning
    • [cs.LG]Learning by Minimizing the Sum of Ranked Range
    • [cs.LG]Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
    • [cs.LG]Lipschitz Bounded Equilibrium Networks
    • [cs.LG]Mastering Atari with Discrete World Models
    • [cs.LG]Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
    • [cs.LG]My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
    • [cs.LG]NLP Service APIs and Models for Efficient Registration of New Clients
    • [cs.LG]Neurally Augmented ALISTA
    • [cs.LG]Non-trivial informational closure of a Bayesian hyperparameter
    • [cs.LG]OLALA: Object-Level Active Learning Based Layout Annotation
    • [cs.LG]Off-the-grid data-driven optimization of sampling schemes in MRI
    • [cs.LG]Offline Learning for Planning: A Summary
    • [cs.LG]Online Neural Networks for Change-Point Detection
    • [cs.LG]Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors
    • [cs.LG]PMI-Masking: Principled masking of correlated spans
    • [cs.LG]Perplexity-free Parametric t-SNE
    • [cs.LG]Pointwise Binary Classification with Pairwise Confidence Comparisons
    • [cs.LG]Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning
    • [cs.LG]Policy Learning Using Weak Supervision
    • [cs.LG]Provable Acceleration of Neural Net Training via Polyak’s Momentum
    • [cs.LG]Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms
    • [cs.LG]Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization
    • [cs.LG]RODE: Learning Roles to Decompose Multi-Agent Tasks
    • [cs.LG]Rank Position Forecasting in Car Racing
    • [cs.LG]Sample weighting as an explanation for mode collapse in generative adversarial networks
    • [cs.LG]Sharpness-Aware Minimization for Efficiently Improving Generalization
    • [cs.LG]Spatial Frequency Bias in Convolutional Generative Adversarial Networks
    • [cs.LG]SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
    • [cs.LG]Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
    • [cs.LG]The act of remembering: a study in partially observable reinforcement learning
    • [cs.LG]TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
    • [cs.LG]Towards Generalized and Distributed Privacy-Preserving Representation Learning
    • [cs.LG]Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
    • [cs.LG]Understanding Catastrophic Overfitting in Single-step Adversarial Training
    • [cs.LG]Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
    • [cs.LG]WeMix: How to Better Utilize Data Augmentation
    • [cs.LG]i-DenseNets
    • [cs.MA]A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning
    • [cs.MS]Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
    • [cs.NE]Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
    • [cs.NE]FPGA Implementation of Simplified Spiking Neural Network
    • [cs.NE]Multi-Level Evolution Strategies for High-Resolution Black-Box Control
    • [cs.NE]New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation
    • [cs.NE]TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods
    • [cs.NI]DLT federation for Edge robotics
    • [cs.NI]Predicting traffic overflows on private peering
    • [cs.RO]Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
    • [cs.RO]Collaborative Tracking and Capture of Aerial Object using UAVs
    • [cs.RO]Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics
    • [cs.RO]Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs
    • [cs.RO]Slip detection for grasp stabilisation with a multi-fingered tactile robot hand
    • [cs.RO]Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
    • [cs.SD]Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation
    • [cs.SE]Code to Comment “Translation”: Data, Metrics, Baselining & Evaluation
    • [cs.SE]Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
    • [cs.SE]Discovering Object-Centric Petri Nets
    • [cs.SE]Reproducible Science with \LaTeX
    • [cs.SI]A Privacy Preserved and Cost Efficient Control Scheme for Coronavirus Outbreak Using Call Data Record and Contact Tracing
    • [cs.SI]Analysis of online misinformation during the peak of the COVID-19 pandemics in Italy
    • [cs.SI]Complex Network Analysis of North American Institutions of Higher Education on Twitter
    • [cs.SI]FaNDS: Fake News Detection System Using Energy Flow
    • [cs.SI]Interdependent Diffusion: The social contagion of interacting beliefs
    • [cs.SI]Joint Inference of Structure and Diffusion in Partially Observed Social Networks
    • [cs.SI]Mining and modeling complex leadership-followership dynamics of movement data
    • [cs.SI]Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
    • [cs.SI]Right and left, partisanship predicts vulnerability to misinformation
    • [econ.EM]A Class of Time-Varying Vector Moving Average Models: Nonparametric Kernel Estimation and Application
    • [eess.AS]D3Net: Densely connected multidilated DenseNet for music source separation
    • [eess.IV]A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset
    • [eess.IV]AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
    • [eess.IV]AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
    • [eess.IV]Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
    • [eess.IV]Automatic CAD-RADS Scoring Using Deep Learning
    • [eess.IV]COVID-19 Classification of X-ray Images Using Deep Neural Networks
    • [eess.IV]Improving Lesion Detection by exploring bias on Skin Lesion dataset
    • [eess.IV]KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
    • [eess.IV]Surface Agnostic Metrics for Cortical Volume Segmentation and Regression
    • [eess.IV]Test-time Unsupervised Domain Adaptation
    • [eess.IV]Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
    • [eess.IV]Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
    • [eess.IV]autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
    • [eess.SP]A Separation Method for Multicomponent Nonstationary Signals with Crossover Instantaneous Frequencies
    • [eess.SP]Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
    • [eess.SP]Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming
    • [eess.SP]FaultNet: A Deep Convolutional Neural Network for bearing fault classification
    • [eess.SP]Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
    • [eess.SP]Non-Linear Self-Interference Cancellation via Tensor Completion
    • [math-ph]Ke Li’s lemma for quantum hypothesis testing in general von Neumann algebras
    • [math.DS]A fast memoryless predictive algorithm in a chain of recurrent neural networks
    • [math.MG]An Infinite, Converging, Sequence of Brocard Porisms
    • [math.NA]Deep Learning algorithms for solving high dimensional nonlinear Backward Stochastic Differential Equations
    • [math.OC]Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
    • [math.OC]Average-case Acceleration for Bilinear Games and Normal Matrices
    • [math.OC]Optimal Control of a Soft CyberOctopus Arm
    • [math.OC]Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
    • [math.PR]Broadcasting on Two-Dimensional Regular Grids
    • [math.ST]A Kernel Measure of Association
    • [math.ST]All-Pass Filters for Mirroring Pairs of Complex-Conjugated Roots of Rational Matrix Functions
    • [math.ST]Bayesian Fixed-domain Asymptotics: Bernstein-von Mises Theorem for Covariance Parameters in a Gaussian Process Model
    • [math.ST]Factor and factor loading augmented estimators for panel regression
    • [physics.app-ph]Identification of Anomalous Diffusion Sources by Unsupervised Learning
    • [physics.comp-ph]Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
    • [physics.soc-ph]Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations
    • [q-bio.PE]On the Identifiability of Phylogenetic Networks under a Pseudolikelihood model
    • [q-bio.QM]Factorized linear discriminant analysis for phenotype-guided representation learning of neuronal gene expression data
    • [quant-ph]A rigorous and robust quantum speed-up in supervised machine learning
    • [stat.AP]Correlation between Air and Urban Travelling with New Confirmed Cases of COVID-19 A Case Study
    • [stat.AP]Modeling of Covid-19 Pandemic in Cyprus
    • [stat.AP]One-sided Shewhart control charts for monitoring the ratio of two normal variables in Short Production Runs
    • [stat.AP]Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over maximum marginal likelihood
    • [stat.AP]Statistical Assessment of Safety Levels of Railway Operators
    • [stat.ME]A Taxonomy of Polytomous Item Response Models
    • [stat.ME]Causal Inference with Bipartite Designs
    • [stat.ME]Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices
    • [stat.ME]Efficient multiply robust imputation in the presence of influential units in surveys
    • [stat.ME]Empirical Likelihood Inference in Randomized Controlled Trials with High-Dimensional Covariates
    • [stat.ME]Propensity Score Weighting for Causal Subgroup Analysis
    • [stat.ME]Randomized tests for high-dimensional regression: A more efficient and powerful solution
    • [stat.ME]The use of restricted mean time lost under competing risks data
    • [stat.ML]Covariate Shift Adaptation in High-Dimensional and Divergent Distributions
    • [stat.ML]Deep kernel processes
    • [stat.ML]Diversity-Preserving K-Armed Bandits, Revisited
    • [stat.ML]Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
    • [stat.ML]Is Information Theory Inherently a Theory of Causation?
    • [stat.ML]Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
    • [stat.ML]On the Universality of the Double Descent Peak in Ridgeless Regression
    • [stat.ML]Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
    • [stat.ML]Random Coordinate Langevin Monte Carlo
    • [stat.ML]Self-Supervised Variational Auto-Encoders
    • [stat.ML]Sparse Quantized Spectral Clustering

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

    • [cs.AI]Disentangling causal effects for hierarchical reinforcement learning
    Oriol Corcoll, Raul Vicente
    http://arxiv.org/abs/2010.01351v1

    • [cs.AI]EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
    Jiaoyang Li, Wheeler Ruml, Sven Koenig
    http://arxiv.org/abs/2010.01367v1

    • [cs.AI]Entity Embedding as Game Representation
    Nazanin Yousefzadeh Khameneh, Matthew Guzdial
    http://arxiv.org/abs/2010.01685v1

    • [cs.AI]Explainability via Responsibility
    Faraz Khadivpour, Matthew Guzdial
    http://arxiv.org/abs/2010.01676v1

    • [cs.AI]Explanation Ontology in Action: A Clinical Use-Case
    Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness
    http://arxiv.org/abs/2010.01478v1

    • [cs.AI]Explanation Ontology: A Model of Explanations for User-Centered AI
    Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness
    http://arxiv.org/abs/2010.01479v1

    • [cs.AI]Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming
    Riccardo Bertolucci, Alessio Capitanelli, Carmine Dodaro, Nicola Leone, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati
    http://arxiv.org/abs/2010.01164v1

    • [cs.AI]Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
    Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, Mark Cieliebak
    http://arxiv.org/abs/2010.02140v1

    • [cs.AI]TabEAno: Table to Knowledge Graph Entity Annotation
    Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda
    http://arxiv.org/abs/2010.01829v1

    • [cs.CL]“LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently
    Mathieu Rita, Rahma Chaabouni, Emmanuel Dupoux
    http://arxiv.org/abs/2010.01878v1

    • [cs.CL]A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
    Federico López, Michael Strube
    http://arxiv.org/abs/2010.02053v1

    • [cs.CL]A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
    Zhao Meng, Roger Wattenhofer
    http://arxiv.org/abs/2010.01345v1

    • [cs.CL]A Multi-task Learning Framework for Opinion Triplet Extraction
    Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang
    http://arxiv.org/abs/2010.01512v1

    • [cs.CL]A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
    Anh Tuan Nguyen, Mai Hoang Dao, Dat Quoc Nguyen
    http://arxiv.org/abs/2010.01891v1

    • [cs.CL]A Streaming Approach For Efficient Batched Beam Search
    Kevin Yang, Violet Yao, John DeNero, Dan Klein
    http://arxiv.org/abs/2010.02164v1

    • [cs.CL]A Survey of Unsupervised Dependency Parsing
    Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu
    http://arxiv.org/abs/2010.01535v1

    • [cs.CL]AI pptX: Robust Continuous Learning for Document Generation with AI Insights
    Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant Reddy, Manuela Veloso
    http://arxiv.org/abs/2010.01169v1

    • [cs.CL]Adversarial Attack and Defense of Structured Prediction Models
    Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu
    http://arxiv.org/abs/2010.01610v1

    • [cs.CL]An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
    Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos
    http://arxiv.org/abs/2010.01653v1

    • [cs.CL]Aspect-Based Sentiment Analysis in Education Domain
    Rinor Hajrizi, Krenare Pireva Nuçi
    http://arxiv.org/abs/2010.01429v1

    • [cs.CL]Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
    Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao ‘Kenneth’ Huang, Lun-Wei Ku
    http://arxiv.org/abs/2010.02179v1

    • [cs.CL]Automatic Extraction of Rules Governing Morphological Agreement
    Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig
    http://arxiv.org/abs/2010.01160v1

    • [cs.CL]Corpora Evaluation and System Bias Detection in Multi-document Summarization
    Alvin Dey, Tanya Chowdhury, Yash Kumar Atri, Tanmoy Chakraborty
    http://arxiv.org/abs/2010.01786v1

    • [cs.CL]Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
    Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris
    http://arxiv.org/abs/2010.01150v1

    • [cs.CL]DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
    Oluwatobi O. Olabiyi, Prarthana Bhattarai, C. Bayan Bruss, Zachary Kulis
    http://arxiv.org/abs/2010.01693v1

    • [cs.CL]Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
    Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King
    http://arxiv.org/abs/2010.01495v1

    • [cs.CL]Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
    Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu
    http://arxiv.org/abs/2010.01838v1

    • [cs.CL]Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
    Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu
    http://arxiv.org/abs/2010.01899v1

    • [cs.CL]Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
    Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
    http://arxiv.org/abs/2010.01739v1

    • [cs.CL]Explaining Deep Neural Networks
    Oana-Maria Camburu
    http://arxiv.org/abs/2010.01496v1

    • [cs.CL]Explaining The Efficacy of Counterfactually-Augmented Data
    Divyansh Kaushik, Amrith Setlur, Eduard Hovy, Zachary C. Lipton
    http://arxiv.org/abs/2010.02114v1

    • [cs.CL]Exploring Semantic Capacity of Terms
    Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-mei Hwu, Jinjun Xiong
    http://arxiv.org/abs/2010.01898v1

    • [cs.CL]Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection
    Gaurav Arora
    http://arxiv.org/abs/2010.02094v1

    • [cs.CL]GenAug: Data Augmentation for Finetuning Text Generators
    Steven Y. Feng, Varun Gangal, Dongyeop Kang, Teruko Mitamura, Eduard Hovy
    http://arxiv.org/abs/2010.01794v1

    • [cs.CL]Generating Dialogue Responses from a Semantic Latent Space
    Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin
    http://arxiv.org/abs/2010.01658v1

    • [cs.CL]GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
    Shiquan Yang, Rui Zhang, Sarah Erfani
    http://arxiv.org/abs/2010.01447v1

    • [cs.CL]Improving AMR Parsing with Sequence-to-Sequence Pre-training
    Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou
    http://arxiv.org/abs/2010.01771v1

    • [cs.CL]Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
    Luyu Gao, Xinyi Wang, Graham Neubig
    http://arxiv.org/abs/2010.01667v1

    • [cs.CL]Inquisitive Question Generation for High Level Text Comprehension
    Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li
    http://arxiv.org/abs/2010.01657v1

    • [cs.CL]Knowledge Association with Hyperbolic Knowledge Graph Embeddings
    Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang
    http://arxiv.org/abs/2010.02162v1

    • [cs.CL]Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
    Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
    http://arxiv.org/abs/2010.01480v1

    • [cs.CL]Learning from Context or Names? An Empirical Study on Neural Relation Extraction
    Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2010.01923v1

    • [cs.CL]Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus
    Sina Ahmadi, Hossein Hassani, Daban Q. Jaff
    http://arxiv.org/abs/2010.01554v1

    • [cs.CL]Lifelong Language Knowledge Distillation
    Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen
    http://arxiv.org/abs/2010.02123v1

    • [cs.CL]Linguistic Profiling of a Neural Language Model
    Alessio Miaschi, Dominique Brunato, Felice Dell’Orletta, Giulia Venturi
    http://arxiv.org/abs/2010.01869v1

    • [cs.CL]Local Additivity Based Data Augmentation for Semi-supervised NER
    Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang
    http://arxiv.org/abs/2010.01677v1

    • [cs.CL]MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
    Lu Zhang, Mo Yu, Tian Gao, Yue Yu
    http://arxiv.org/abs/2010.01735v1

    • [cs.CL]MIME: MIMicking Emotions for Empathetic Response Generation
    Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria
    http://arxiv.org/abs/2010.01454v1

    • [cs.CL]Meta Sequence Learning and Its Applications
    Cheng Zhang, Jie Wang
    http://arxiv.org/abs/2010.01620v1

    • [cs.CL]Mining Knowledge for Natural Language Inference from Wikipedia Categories
    Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel
    http://arxiv.org/abs/2010.01239v1

    • [cs.CL]Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
    Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont
    http://arxiv.org/abs/2010.02057v1

    • [cs.CL]Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
    Jiaao Chen, Diyi Yang
    http://arxiv.org/abs/2010.01672v1

    • [cs.CL]Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
    Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A Folarin, Angus Roberts, Rebecca Bendayan, Mark P Richardson, Robert Stewart, Anoop D Shah, Wai Keong Wong, Zina Ibrahim, James T Teo, Richard JB Dobson
    http://arxiv.org/abs/2010.01165v1

    • [cs.CL]Multi-turn Response Selection using Dialogue Dependency Relations
    Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu, Haifeng Tang
    http://arxiv.org/abs/2010.01502v1

    • [cs.CL]Multilevel Text Alignment with Cross-Document Attention
    Xuhui Zhou, Nikolaos Pappas, Noah A. Smith
    http://arxiv.org/abs/2010.01263v1

    • [cs.CL]On Losses for Modern Language Models
    Stephane Aroca-Ouellette, Frank Rudzicz
    http://arxiv.org/abs/2010.01694v1

    • [cs.CL]On the Effects of Knowledge-Augmented Data in Word Embeddings
    Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens, Rob Miller, Andreas Vlachidis
    http://arxiv.org/abs/2010.01745v1

    • [cs.CL]On the Frailty of Universal POS Tags for Neural UD Parsers
    Mark Anderson, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/2010.01830v1

    • [cs.CL]Optimal Neural Program Synthesis from Multimodal Specifications
    Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
    http://arxiv.org/abs/2010.01678v1

    • [cs.CL]PUM at SemEval-2020 Task 12: Aggregation of Transformer-based models’ features for offensive language recognition
    Piotr Janiszewski, Mateusz Skiba, Urszula Walińska
    http://arxiv.org/abs/2010.01897v1

    • [cs.CL]Paragraph-Level Commonsense Transformers with Recurrent Memory
    Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
    http://arxiv.org/abs/2010.01486v1

    • [cs.CL]Pareto Probing: Trading Off Accuracy for Complexity
    Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell
    http://arxiv.org/abs/2010.02180v1

    • [cs.CL]Partially-Aligned Data-to-Text Generation with Distant Supervision
    Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu
    http://arxiv.org/abs/2010.01268v1

    • [cs.CL]Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
    Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria
    http://arxiv.org/abs/2010.01309v1

    • [cs.CL]Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
    Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth
    http://arxiv.org/abs/2010.01791v1

    • [cs.CL]PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings
    Janvijay Singh, Anshul Wadhawan
    http://arxiv.org/abs/2010.02142v1

    • [cs.CL]Reading Comprehension as Natural Language Inference: A Semantic Analysis
    Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
    http://arxiv.org/abs/2010.01713v1

    • [cs.CL]Regularizing Dialogue Generation by Imitating Implicit Scenarios
    Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun
    http://arxiv.org/abs/2010.01893v1

    • [cs.CL]Reverse Operation based Data Augmentation for Solving Math Word Problems
    Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi
    http://arxiv.org/abs/2010.01556v1

    • [cs.CL]STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
    Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer
    http://arxiv.org/abs/2010.01717v1

    • [cs.CL]Second-Order NLP Adversarial Examples
    John X. Morris
    http://arxiv.org/abs/2010.01770v1

    • [cs.CL]Self-training Improves Pre-training for Natural Language Understanding
    Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau
    http://arxiv.org/abs/2010.02194v1

    • [cs.CL]Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
    Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu
    http://arxiv.org/abs/2010.01417v1

    • [cs.CL]Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
    Yuncong Li, Cunxiang Yin, Sheng-hua Zhong
    http://arxiv.org/abs/2010.01461v1

    • [cs.CL]Speakers Fill Lexical Semantic Gaps with Context
    Tiago Pimentel, Rowan Hall Maudslay, Damián Blasi, Ryan Cotterell
    http://arxiv.org/abs/2010.02172v1

    • [cs.CL]Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
    Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou
    http://arxiv.org/abs/2010.01475v1

    • [cs.CL]The Grammar of Emergent Languages
    Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes
    http://arxiv.org/abs/2010.02069v1

    • [cs.CL]Towards Interpretable Reasoning over Paragraph Effects in Situation
    Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang
    http://arxiv.org/abs/2010.01272v1

    • [cs.CL]Transformer-Based Neural Text Generation with Syntactic Guidance
    Yinghao Li, Rui Feng, Isaac Rehg, Chao Zhang
    http://arxiv.org/abs/2010.01737v1

    • [cs.CL]Unsupervised Cross-lingual Image Captioning
    Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu
    http://arxiv.org/abs/2010.01288v1

    • [cs.CL]Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
    Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
    http://arxiv.org/abs/2010.01781v1

    • [cs.CL]Viable Threat on News Reading: Generating Biased News Using Natural Language Models
    Saurabh Gupta, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    http://arxiv.org/abs/2010.02150v1

    • [cs.CL]Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
    Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi
    http://arxiv.org/abs/2010.01683v1

    • [cs.CL]When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised
    Liubov Nikolenko, Pouya Rezazadeh Kalehbasti
    http://arxiv.org/abs/2010.01611v1

    • [cs.CL]X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset
    Angel Daza, Anette Frank
    http://arxiv.org/abs/2010.01998v1

    • [cs.CR]Data Augmentation Based Malware Detection using Convolutional Neural Networks
    Ferhat Ozgur Catak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
    http://arxiv.org/abs/2010.01862v1

    • [cs.CR]Mossad: Defeating Software Plagiarism Detection
    Breanna Devore-McDonald, Emery D. Berger
    http://arxiv.org/abs/2010.01700v1

    • [cs.CR]Why Older Adults (Don’t) Use Password Managers
    Hirak Ray, Flynn Wolf, Ravi Kuber, Adam J. Aviv
    http://arxiv.org/abs/2010.01973v1

    • [cs.CV]3D Orientation Field Transform
    Wai-Tsun Yeung, Xiaohao Cai, Zizhen Liang, Byung-Ho Kang
    http://arxiv.org/abs/2010.01453v1

    • [cs.CV]A New Mask R-CNN Based Method for Improved Landslide Detection
    Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ejaz Ahamed, Basant Kumar, Ramji Dwivedi, G. R. Sinha
    http://arxiv.org/abs/2010.01499v1

    • [cs.CV]A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
    Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri
    http://arxiv.org/abs/2010.01999v1

    • [cs.CV]A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery
    Fathi Mahdi Elsiddig Haroun, Siti Noratiqah Mohamad Deros, Norashidah Md Din
    http://arxiv.org/abs/2010.01757v1

    • [cs.CV]A Study for Universal Adversarial Attacks on Texture Recognition
    Yingpeng Deng, Lina J. Karam
    http://arxiv.org/abs/2010.01506v1

    • [cs.CV]A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
    Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta
    http://arxiv.org/abs/2010.01343v1

    • [cs.CV]A simulation environment for drone cinematography
    Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull
    http://arxiv.org/abs/2010.01315v1

    • [cs.CV]AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture
    Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Beibei Qin, Yanning Zhang
    http://arxiv.org/abs/2010.01863v1

    • [cs.CV]Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
    Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
    http://arxiv.org/abs/2010.01357v1

    • [cs.CV]Adversarial and Natural Perturbations for General Robustness
    Sadaf Gulshad, Jan Hendrik Metzen, Arnold Smeulders
    http://arxiv.org/abs/2010.01401v1

    • [cs.CV]Attention Guided Semantic Relationship Parsing for Visual Question Answering
    Moshiur Farazi, Salman Khan, Nick Barnes
    http://arxiv.org/abs/2010.01725v1

    • [cs.CV]Automatic label correction based on CCESD
    Jiawei Liu, Qiang Wang, Huijie Fan, Yandong Tang
    http://arxiv.org/abs/2010.01919v1

    • [cs.CV]BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer
    Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or
    http://arxiv.org/abs/2010.02036v1

    • [cs.CV]Best Buddies Registration for Point Clouds
    Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes
    http://arxiv.org/abs/2010.01912v1

    • [cs.CV]Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
    Kun Zhao, Yongkun Liu, Siyuan Hao, Shaoxing Lu, Hongbin Liu, Lijian Zhou
    http://arxiv.org/abs/2010.01305v1

    • [cs.CV]Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
    Saptarshi Sinha, Hiroki Ohashi, Katsuyuki Nakamura
    http://arxiv.org/abs/2010.01824v1

    • [cs.CV]Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild
    Hafiq Anas, Bacha Rehman, Wee Hong Ong
    http://arxiv.org/abs/2010.01301v1

    • [cs.CV]Depth-wise layering of 3d images using dense depth maps: a threshold based approach
    Seyedsaeid Mirkamali, P. Nagabhushan
    http://arxiv.org/abs/2010.01841v1

    • [cs.CV]Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
    Satyajit Tourani, Dhagash Desai, Udit Singh Parihar, Sourav Garg, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
    http://arxiv.org/abs/2010.01421v1

    • [cs.CV]Ego-Motion Alignment from Face Detections for Collaborative Augmented Reality
    Branislav Micusik, Georgios Evangelidis
    http://arxiv.org/abs/2010.02153v1

    • [cs.CV]End-to-End Training of CNN Ensembles for Person Re-Identification
    Ayse Serbetci, Yusuf Sinan Akgul
    http://arxiv.org/abs/2010.01342v1

    • [cs.CV]EqCo: Equivalent Rules for Self-supervised Contrastive Learning
    Benjin Zhu, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun
    http://arxiv.org/abs/2010.01929v1

    • [cs.CV]Gaussian Vector: An Efficient Solution for Facial Landmark Detection
    Yilin Xiong, Zijian Zhou, Yuhao Dou, Zhizhong Su
    http://arxiv.org/abs/2010.01318v1

    • [cs.CV]Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition
    Zhi-Gang Jia, Zi-Jin Qiu, Mei-Xiang Zhao
    http://arxiv.org/abs/2010.01477v1

    • [cs.CV]Generating Gameplay-Relevant Art Assets with Transfer Learning
    Adrian Gonzalez, Matthew Guzdial, Felix Ramos
    http://arxiv.org/abs/2010.01681v1

    • [cs.CV]Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach
    Chao Tan
    http://arxiv.org/abs/2010.01283v1

    • [cs.CV]Holistic static and animated 3D scene generation from diverse text descriptions
    Faria Huq, Anindya Iqbal, Nafees Ahmed
    http://arxiv.org/abs/2010.01549v1

    • [cs.CV]Joint Pruning & Quantization for Extremely Sparse Neural Networks
    Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp, Liang-Gee Chen, Shao-Yi Chien
    http://arxiv.org/abs/2010.01892v1

    • [cs.CV]Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy
    Hamid Sarmadi, Rafael Muñoz-Salinas, M. Álvaro Berbís, Antonio Luna, R. Medina-Carnicer
    http://arxiv.org/abs/2010.01895v1

    • [cs.CV]LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements
    Sandipan Banerjee, Ajjen Joshi, Prashant Mahajan, Sneha Bhattacharya, Survi Kyal, Taniya Mishra
    http://arxiv.org/abs/2010.01464v1

    • [cs.CV]Learning Complete 3D Morphable Face Models from Images and Videos
    Mallikarjun B R, Ayush Tewari, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt
    http://arxiv.org/abs/2010.01679v1

    • [cs.CV]Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
    Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
    http://arxiv.org/abs/2010.01809v1

    • [cs.CV]MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision
    Hongming Li, Yong Fan
    http://arxiv.org/abs/2010.01465v1

    • [cs.CV]MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network
    Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
    http://arxiv.org/abs/2010.01424v1

    • [cs.CV]MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
    Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
    http://arxiv.org/abs/2010.01884v1

    • [cs.CV]MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
    Marius Schubert, Karsten Kahl, Matthias Rotmann
    http://arxiv.org/abs/2010.01695v1

    • [cs.CV]MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
    Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak Patel, Daniel McDuff
    http://arxiv.org/abs/2010.01773v1

    • [cs.CV]Mind the Pad — CNNs can Develop Blind Spots
    Bilal Alsallakh, Narine Kokhlikyan
    74cb, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson
    http://arxiv.org/abs/2010.02178v1

    • [cs.CV]Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure
    Chee-Kheng Chng, Alvaro Parra, Tat-Jun Chin, Yasir Latif
    http://arxiv.org/abs/2010.01872v1

    • [cs.CV]Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
    Usman Sajid, Wenchi Ma, Guanghui Wang
    http://arxiv.org/abs/2010.01664v1

    • [cs.CV]Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
    Byeonghyeop Yu, Johyun Shin, Gyeongjun Kim, Seungbin Roh, Keemin Sohn
    http://arxiv.org/abs/2010.02059v1

    • [cs.CV]Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Step-By-Step Learning
    Kyunghun Kim, Yeohun Yun, Keon-Woo Kang, Kyungbo Gong, Siyeong Lee, Suk-Ju Kang
    http://arxiv.org/abs/2010.01810v1

    • [cs.CV]Probabilistic 3D surface reconstruction from sparse MRI information
    Katarína Tóthová, Sarah Parisot, Matthew Lee, Esther Puyol-Antón, Andrew King, Marc Pollefeys, Ender Konukoglu
    http://arxiv.org/abs/2010.02041v1

    • [cs.CV]Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
    Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
    http://arxiv.org/abs/2010.01528v1

    • [cs.CV]Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
    Youngeun Kim, Priyadarshini Panda
    http://arxiv.org/abs/2010.01729v1

    • [cs.CV]Supporting large-scale image recognition with out-of-domain samples
    Christof Henkel, Philipp Singer
    http://arxiv.org/abs/2010.01650v1

    • [cs.CV]TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network
    Chao Tan
    http://arxiv.org/abs/2010.01282v1

    • [cs.CV]The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge
    Pablo Barros, Alessandra Sciutti
    http://arxiv.org/abs/2010.01557v1

    • [cs.CV]UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
    Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei
    http://arxiv.org/abs/2010.01251v1

    • [cs.CV]Unknown Presentation Attack Detection against Rational Attackers
    Ali Khodabakhsh
    http://arxiv.org/abs/2010.01592v1

    • [cs.CV]Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network
    Chao Tan, Xin Feng
    http://arxiv.org/abs/2010.01291v1

    • [cs.CY]A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic
    Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao, Fengli Xu, Yu Zhang, Yong Li
    http://arxiv.org/abs/2010.01662v1

    • [cs.CY]Facebook Political Ads And Accountability: Outside Groups Are Most Negative, Especially When Microtargeting Or Hiding Donors
    Shomik Jain, Abby K. Wood
    http://arxiv.org/abs/2010.01730v1

    • [cs.CY]Understanding Incentivized Mobile App Installs on Google Play Store
    Shehroze Farooqi, Álvaro Feal, Tobias Lauinger, Damon McCoy, Zubair Shafiq, Narseo Vallina-Rodriguez
    http://arxiv.org/abs/2010.01497v1

    • [cs.DB]LEAPME: Learning-based Property Matching with Embeddings
    Daniel Ayala, Inma Hernández, David Ruiz, Erhard Rahm
    http://arxiv.org/abs/2010.01951v1

    • [cs.DC]A Discrete and Continuous Study of the Max-Chain-Formation Problem
    Jannik Castenow, Peter Kling, Till Knollmann, Friedhelm Meyer auf der Heide
    http://arxiv.org/abs/2010.02043v1

    • [cs.DC]Diagonal Memory Optimisation for Machine Learni
    608d
    ng on Micro-controllers
    Peter Blacker, Christopher Paul Bridges, Simon Hadfield
    http://arxiv.org/abs/2010.01668v1

    • [cs.DC]Distributed Constructions of Dual-Failure Fault-Tolerant Distance Preservers
    Merav Parter
    http://arxiv.org/abs/2010.01503v1

    • [cs.DC]Diversity/Parallelism Trade-off in Distributed Systems with Redundancy
    Pei Peng, Emina Soljanin, Philip Whiting
    http://arxiv.org/abs/2010.02147v1

    • [cs.DC]DuoBFT: Resilience vs. Efficiency Trade-off in Byzantine Fault Tolerance
    Balaji Arun, Binoy Ravindran
    http://arxiv.org/abs/2010.01387v1

    • [cs.DC]Exploring the acceleration of the Met Office NERC Cloud model using FPGAs
    Nick Brown
    http://arxiv.org/abs/2010.01545v1

    • [cs.DC]F2ED-Learning: Good Fences Make Good Neighbors
    Lun Wang, Qi Pang, Shuai Wang, Dawn Song
    http://arxiv.org/abs/2010.01175v1

    • [cs.DC]High level programming abstractions for leveraging hierarchical memories with micro-core architectures
    Maurice Jamieson, Nick Brown
    http://arxiv.org/abs/2010.01548v1

    • [cs.DC]It’s all about data movement: Optimising FPGA data access to boost performance
    Nick Brown, David Dolman
    http://arxiv.org/abs/2010.01547v1

    • [cs.DC]Specification of the Giskard Consensus Protocol
    Elaine Li, Karl Palmskog, Mircea Sebe, Grigore Roşu
    http://arxiv.org/abs/2010.02124v1

    • [cs.DC]Spiking Neural Networks Through the Lens of Streaming Algorithms
    Yael Hitron, Cameron Musco, Merav Parter
    http://arxiv.org/abs/2010.01423v1

    • [cs.DC]TRIX: Low-Skew Pulse Propagation for Fault-Tolerant Hardware
    Christoph Lenzen, Ben Wiederhake
    http://arxiv.org/abs/2010.01415v1

    • [cs.DC]The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing
    Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan
    http://arxiv.org/abs/2010.01543v1

    • [cs.DC]iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing
    Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull
    http://arxiv.org/abs/2010.01542v1

    • [cs.DL]The Importance of Conference Proceedings in Research Evaluation: a Methodology for Assessing Conference Impact
    Dmitry Kochetkov, Aliaksandr Birukou, Anna Ermolayeva
    http://arxiv.org/abs/2010.01540v1

    • [cs.ET]Robust High-dimensional Memory-augmented Neural Networks
    Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
    http://arxiv.org/abs/2010.01939v1

    • [cs.GR]Photon-Driven Neural Path Guiding
    Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi
    http://arxiv.org/abs/2010.01775v1

    • [cs.HC]Facial gesture interfaces for expression and communication
    Michael J. Lyons
    http://arxiv.org/abs/2010.01567v1

    • [cs.IR]Fairness and Diversity for Rankings in Two-Sided Markets
    Lequn Wang, Thorsten Joachims
    http://arxiv.org/abs/2010.01470v1

    • [cs.IR]Hit ratio: An Evaluation Metric for Hashtag Recommendation
    Areej Alsini, Du Q. Huynh, Amitava Datta
    http://arxiv.org/abs/2010.01258v1

    • [cs.IR]Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach
    Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
    http://arxiv.org/abs/2010.01195v1

    • [cs.IR]Multi-Modal Retrieval using Graph Neural Networks
    Aashish Kumar Misraa, Ajinkya Kale, Pranav Aggarwal, Ali Aminian
    http://arxiv.org/abs/2010.01666v1

    • [cs.IR]Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
    Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
    http://arxiv.org/abs/2010.01329v1

    • [cs.IR]On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics
    Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova
    http://arxiv.org/abs/2010.01600v1

    • [cs.IR]PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
    Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
    http://arxiv.org/abs/2010.01494v1

    • [cs.IT]Codes for Distributed Storage
    Vinayak Ramkumar, Myna Vajha, S. B. Balaji, M. Nikhil Krishnan, Birenjith Sasidharan, P. Vijay Kumar
    http://arxiv.org/abs/2010.01344v1

    • [cs.IT]Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
    Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato
    http://arxiv.org/abs/2010.01185v1

    • [cs.IT]Large System Analysis of Box-Relaxation in Correlated Massive MIMO Channels Under Imperfect CSI
    Ayed M. Alrashdi
    http://arxiv.org/abs/2010.01684v1

    • [cs.IT]Latency optimal storage and scheduling of replicated fragments for memory-constrained servers
    Rooji Jinan, Ajay Badita, Pradeep Sarvepalli, Parimal Parag
    http://arxiv.org/abs/2010.01589v1

    • [cs.IT]On the Tradeoff Between Computation and Communication Costs for Distributed Linearly Separable Computation
    Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
    http://arxiv.org/abs/2010.01633v1

    • [cs.IT]Random Access with Layered Preambles based on NOMA for Two Different Types of Devices in MTC
    Jinho Choi
    http://arxiv.org/abs/2010.01229v1

    • [cs.IT]Range Expansion for Wireless Power Transfer: A Joint Beamforming and Waveform Architecture
    Junghoon Kim, Bruno Clerckx
    http://arxiv.org/abs/2010.01680v1

    • [cs.IT]Weighted Sum-Rate Maximization for Multi-IRS-assisted Full-Duplex Systems with Hardware Impairments
    Mohammad Amin Saeidi, Mohammad Javad Emadi, Hamed Masoumi, Mohammad Robat Mili, Derrick Wing Kwan Ng, Ioannis Krikidis
    http://arxiv.org/abs/2010.01339v1

    • [cs.LG]$ξ$-torch: differentiable scientific computing library
    Muhammad F. Kasim, Sam M. Vinko
    http://arxiv.org/abs/2010.01921v1

    • [cs.LG]A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
    Shiva Navabi, Osonde A. Osoba
    http://arxiv.org/abs/2010.01711v1

    • [cs.LG]A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise
    Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis
    http://arxiv.org/abs/2010.01705v1

    • [cs.LG]A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
    Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin
    http://arxiv.org/abs/2010.01604v1

    • [cs.LG]A Simple Framework for Uncertainty in Contrastive Learning
    Mike Wu, Noah Goodman
    http://arxiv.org/abs/2010.02038v1

    • [cs.LG]A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
    Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han
    http://arxiv.org/abs/2010.01986v1

    • [cs.LG]A Unified View on Graph Neural Networks as Graph Signal Denoising
    Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
    http://arxiv.org/abs/2010.01777v1

    • [cs.LG]AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
    Sam Sinai, Richard Wang, Alexander Whatley, Stewart Slocum, Elina Locane, Eric D. Kelsic
    http://arxiv.org/abs/2010.02141v1

    • [cs.LG]An Efficient Algorithm for Cooperative Semi-Bandits
    Riccardo Della Vecchia, Tommaso Cesari
    http://arxiv.org/abs/2010.01818v1

    • [cs.LG]Assisting the Adversary to Improve GAN Training
    Andreas Munk, William Harvey, Frank Wood
    http://arxiv.org/abs/2010.01274v1

    • [cs.LG]BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning
    Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
    http://arxiv.org/abs/2010.01979v1

    • [cs.LG]Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
    Peter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber
    http://arxiv.org/abs/2010.01298v1

    • [cs.LG]Bigeminal Priors Variational auto-encoder
    Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
    http://arxiv.org/abs/2010.01819v1

    • [cs.LG]Boosted Semantic Embedding based Discriminative Feature Generation for Texture Analysis
    Priyadarshini Kumari, Subhasis Chaudhuri
    http://arxiv.org/abs/2010.02002v1

    • [cs.LG]Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
    Yae Jee Cho, Jianyu Wang, Gauri Joshi
    http://arxiv.org/abs/2010.01243v1

    • [cs.LG]Computational Separation Between Convolutional and Fully-Connected Networks
    Eran Malach, Shai Shalev-Shwartz
    http://arxiv.org/abs/2010.01369v1

    • [cs.LG]Conditional Negative Sampling for Contrastive Learning of Visual Representations
    Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, Noah Goodman
    http://arxiv.org/abs/2010.02037v1

    • [cs.LG]CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
    Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei
    http://arxiv.org/abs/2010.02089v1

    • [cs.LG]CorrAttack: Black-box Adversarial Attack with Structured Search
    Zhichao Huang, Yaowei Huang, Tong Zhang
    http://arxiv.org/abs/2010.01250v1

    • [cs.LG]Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences
    Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu
    http://arxiv.org/abs/2010.01381v1

    • [cs.LG]DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks
    Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy
    http://arxiv.org/abs/2010.01795v1

    • [cs.LG]DEMI: Discriminative Estimator of Mutual Information
    Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells
    http://arxiv.org/abs/2010.01766v1

    • [cs.LG]Data-efficient Online Classification with Siamese Networks and Active Learning
    Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
    http://arxiv.org/abs/2010.01659v1

    • [cs.LG]Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
    Bo Lin, Bissan Ghaddar, Jatin Nathwani
    http://arxiv.org/abs/2010.02068v1

    • [cs.LG]Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
    Xin Qiu, Risto Miikkulainen
    http://arxiv.org/abs/2010.02065v1

    • [cs.LG]Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
    Lingjuan Lyu, Xuanli He, Yitong Li
    http://arxiv.org/abs/2010.01285v1

    • [cs.LG]Does Network Width Really Help Adversarial Robustness?
    Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
    http://arxiv.org/abs/2010.01279v1

    • [cs.LG]DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis
    Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
    http://arxiv.org/abs/2010.01265v1

    • [cs.LG]EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
    Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan
    http://arxiv.org/abs/2010.01333v1

    • [cs.LG]Efficient Robust Training via Backward Smoothing
    Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
    http://arxiv.org/abs/2010.01278v1

    • [cs.LG]Episodic Memory for Learning Subjective-Timescale Models
    Alexey Zakharov, Matthew Crosby, Zafeirios Fountas
    http://arxiv.org/abs/2010.01430v1

    • [cs.LG]Estimating conditional density of missing valuesusing deep Gaussian mixture model
    Marcin Przewięźlikowski, Marek Śmi
    7182
    eja, Łukasz Struski
    http://arxiv.org/abs/2010.02183v1

    • [cs.LG]Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties
    Brett Daley, Christopher Amato
    http://arxiv.org/abs/2010.01356v1

    • [cs.LG]Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
    Gellert Weisz, Philip Amortila, Csaba Szepesvári
    http://arxiv.org/abs/2010.01374v1

    • [cs.LG]FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
    Honghao Wei, Lei Ying
    http://arxiv.org/abs/2010.01652v1

    • [cs.LG]Feature Whitening via Gradient Transformation for Improved Convergence
    Shmulik Markovich-Golan, Barak Battach, Amit Bleiweiss
    http://arxiv.org/abs/2010.01546v1

    • [cs.LG]Federated learning using a mixture of experts
    Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
    http://arxiv.org/abs/2010.02056v1

    • [cs.LG]Geometry-aware Instance-reweighted Adversarial Training
    Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli
    http://arxiv.org/abs/2010.01736v1

    • [cs.LG]Graph Cross Networks with Vertex Infomax Pooling
    Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang
    http://arxiv.org/abs/2010.01804v1

    • [cs.LG]HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
    Enmao Diao, Jie Ding, Vahid Tarokh
    http://arxiv.org/abs/2010.01264v1

    • [cs.LG]How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
    Shayne Longpre, Yu Wang, Christopher DuBois
    http://arxiv.org/abs/2010.01764v1

    • [cs.LG]Improving Generative Imagination in Object-Centric World Models
    Zhixuan Lin, Yi-Fu Wu, Skand Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
    http://arxiv.org/abs/2010.02054v1

    • [cs.LG]Integrating Categorical Semantics into Unsupervised Domain Translation
    Samuel Lavoie-Marchildon, Faruk Ahmed, Aaron Courville
    http://arxiv.org/abs/2010.01262v1

    • [cs.LG]Intermittent Demand Forecasting with Renewal Processes
    Ali Caner Turkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil
    http://arxiv.org/abs/2010.01550v1

    • [cs.LG]Interpreting Robust Optimization via Adversarial Influence Functions
    Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang
    http://arxiv.org/abs/2010.01247v1

    • [cs.LG]Latent neural source recovery via transcoding of simultaneous EEG-fMRI
    Xueqing Liu, Linbi Hong, Paul Sajda
    http://arxiv.org/abs/2010.02167v1

    • [cs.LG]Learned Hardware/Software Co-Design of Neural Accelerators
    Zhan Shi, Chirag Sakhuja, Milad Hashemi, Kevin Swersky, Calvin Lin
    http://arxiv.org/abs/2010.02075v1

    • [cs.LG]Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
    Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma
    http://arxiv.org/abs/2010.01488v1

    • [cs.LG]Learning Manifold Implicitly via Explicit Heat-Kernel Learning
    Yufan Zhou, Changyou Chen, Jinhui Xu
    http://arxiv.org/abs/2010.01761v1

    • [cs.LG]Learning by Minimizing the Sum of Ranked Range
    Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
    http://arxiv.org/abs/2010.01741v1

    • [cs.LG]Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
    Lucas N. Egidio, Anders Hansson, Bo Wahlberg
    http://arxiv.org/abs/2010.01311v1

    • [cs.LG]Lipschitz Bounded Equilibrium Networks
    Max Revay, Ruigang Wang, Ian R. Manchester
    http://arxiv.org/abs/2010.01732v1

    • [cs.LG]Mastering Atari with Discrete World Models
    Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba
    http://arxiv.org/abs/2010.02193v1

    • [cs.LG]Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
    Omer Achrack, Ouriel Barzilay, Raizy Kellerman
    http://arxiv.org/abs/2010.01917v1

    • [cs.LG]My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
    Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
    http://arxiv.org/abs/2010.01856v1

    • [cs.LG]NLP Service APIs and Models for Efficient Registration of New Clients
    Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
    http://arxiv.org/abs/2010.01526v1

    • [cs.LG]Neurally Augmented ALISTA
    Freya Behrens, Jonathan Sauder, Peter Jung
    http://arxiv.org/abs/2010.01930v1

    • [cs.LG]Non-trivial informational closure of a Bayesian hyperparameter
    Martin Biehl, Ryota Kanai
    http://arxiv.org/abs/2010.01855v1

    • [cs.LG]OLALA: Object-Level Active Learning Based Layout Annotation
    Zejiang Shen, Jian Zhao, Melissa Dell, Yaoliang Yu, Weining Li
    http://arxiv.org/abs/2010.01762v1

    • [cs.LG]Off-the-grid data-driven optimization of sampling schemes in MRI
    Alban Gossard, Frédéric de Gournay, Pierre Weiss
    http://arxiv.org/abs/2010.01817v1

    • [cs.LG]Offline Learning for Planning: A Summary
    Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
    http://arxiv.org/abs/2010.01931v1

    • [cs.LG]Online Neural Networks for Change-Point Detection
    Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach
    http://arxiv.org/abs/2010.01388v1

    • [cs.LG]Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors
    Li Wang, Leihong Zhang, Chungen Shen, Ren-cang Li
    http://arxiv.org/abs/2010.01632v1

    • [cs.LG]PMI-Masking: Principled masking of correlated spans
    Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
    http://arxiv.org/abs/2010.01825v1

    • [cs.LG]Perplexity-free Parametric t-SNE
    Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
    http://arxiv.org/abs/2010.01359v1

    • [cs.LG]Pointwise Binary Classification with Pairwise Confidence Comparisons
    Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
    http://arxiv.org/abs/2010.01875v1

    • [cs.LG]Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning
    Masahiro Kato, Kei Nakagawa
    http://arxiv.org/abs/2010.01404v1

    • [cs.LG]Policy Learning Using Weak Supervision
    Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
    http://arxiv.org/abs/2010.01748v1

    • [cs.LG]Provable Acceleration of Neural Net Training via Polyak’s Momentum
    Jun-Kun Wang, Jacob Abernethy
    http://arxiv.org/abs/2010.01618v1

    • [cs.LG]Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms
    Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
    http://arxiv.org/abs/2010.01992v1

    • [cs.LG]Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization
    Jun-Kun Wang, Jacob Abernethy
    http://arxiv.org/abs/2010.01449v1

    • [cs.LG]RODE: Learning Roles to Decompose Multi-Agent Tasks
    Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
    http://arxiv.org/abs/2010.01523v1

    • [cs.LG]Rank Position Forecasting in Car Racing
    Bo Peng, Jiayu Li, Selahattin Akkas, Fugang Wang, Takuya Araki, Ohno Yoshiyuki, Judy Qiu
    http://arxiv.org/abs/2010.01707v1

    • [cs.LG]Sample weighting as an explanation for mode collapse in generative adversarial networks
    Aksel Wilhelm Wold Eide, Eilif Solberg, Ingebjørg Kåsen
    http://arxiv.org/abs/2010.02035v1

    • [cs.LG]Sharpness-Aware Minimization for Efficiently Improving Generalization
    Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
    http://arxiv.org/abs/2010.01412v1

    • [cs.LG]Spatial Frequency Bias in Convolutional Generative Adversarial Networks
    Mahyar Khayatkhoei, Ahmed Elgammal
    http://arxiv.org/abs/2010.01473v1

    • [cs.LG]SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
    Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
    http://arxiv.org/abs/2010.01450v1

    • [cs.LG]Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
    Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang
    http://arxiv.org/abs/2010.01916v1

    • [cs.LG]The act of remembering: a study in partially observable reinforcement learning
    Rodrigo Toro Icarte, Richard Valenzano, Toryn Q. Klassen, Phillip Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
    http://arxiv.org/abs/2010.01753v1

    • [cs.LG]TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
    Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song
    http://arxiv.org/abs/2010.01596v1

    • [cs.LG]Towards Generalized and Distributed Privacy-Preserving Representation Learning
    Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher Brinton, Carlee Joe-Wong, Saurabh Bagchi
    http://arxiv.org/abs/2010.01792v1

    • [cs.LG]Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
    Francisco J. R. Ruiz, Michalis K. Titsias, Taylan Cemgil, Arnaud Doucet
    http://arxiv.org/abs/2010.01845v1

    • [cs.LG]Understanding Catastrophic Overfitting in Single-step Adversarial Training
    Hoki Kim, Woojin Lee, Jaewook Lee
    http://arxiv.org/abs/2010.01799v1

    • [cs.LG]Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
    Jun-Kun Wang, Jacob Abernethy
    http://arxiv.org/abs/2010.01637v1

    • [cs.LG]WeMix: How to Better Utilize Data Augmentation
    Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin
    http://arxiv.org/abs/2010.01267v1

    • [cs.LG]i-DenseNets
    Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai
    http://arxiv.org/abs/2010.02125v1

    • [cs.MA]A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning
    Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat Bhargava
    http://arxiv.org/abs/2010.01755v1

    • [cs.MS]Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
    William S. Moses, Valentin Churavy
    http://arxiv.org/abs/2010.01709v1

    • [cs.NE]Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
    Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
    http://arxiv.org/abs/2010.02066v1

    • [cs.NE]FPGA Implementation of Simplified Spiking Neural Network
    Shikhar Gupta, Arpan Vyas, Gaurav Trivedi
    http://arxiv.org/abs/2010.01200v1

    • [cs.NE]Multi-Level Evolution Strategies for High-Resolution Black-Box Control
    Ofer M. Shir, Xi Xing, Herschel Rabitz
    http://arxiv.org/abs/2010.01524v1

    • [cs.NE]New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation
    Pavel Tolmachev, Jonathan H. Manton
    http://arxiv.org/abs/2010.01472v1

    • [cs.NE]TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods
    Ryoji Tanabe, Alex Fukunaga
    http://arxiv.org/abs/2010.01877v1

    • [cs.NI]DLT federation for Edge robotics
    Kiril Antevski, Milan Groshev, Gabriele Baldoni, Carlos J. Bernardos
    http://arxiv.org/abs/2010.01977v1

    • [cs.NI]Predicting traffic overflows on private peering
    Elad Rapaport, Ingmar Poese, Polina Zilberman, Oliver Holschke, Rami Puzis
    http://arxiv.org/abs/2010.01380v1

    • [cs.RO]Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
    S. H. Alsamhi, Brian Lee
    http://arxiv.org/abs/2010.02137v1

    • [cs.RO]Collaborative Tracking and Capture of Aerial Object using UAVs
    Lima Agnel Tony, Shuvrangshu Jana, Varun V P, Vidyadhara B V, Mohitvishnu S Gadde, Abhishek Kashyap, Rahul Ravichandran, Debasish Ghose
    http://arxiv.org/abs/2010.01588v1

    • [cs.RO]Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics
    Brahayam Ponton, Majid Khadiv, Avadesh Meduri, Ludovic Righetti
    http://arxiv.org/abs/2010.01215v1

    • [cs.RO]Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs
    Manh Duong Phung, Quang Phuc Ha
    http://arxiv.org/abs/2010.02039v1

    • [cs.RO]Slip detection for grasp stabilisation with a multi-fingered tactile robot hand
    Jasper W. James, Nathan F. Lepora
    http://arxiv.org/abs/2010.01928v1

    • [cs.RO]Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
    Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera
    http://arxiv.org/abs/2010.01402v1

    • [cs.SD]Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation
    Zhong-Qiu Wang, Peidong Wang, DeLiang Wang
    http://arxiv.org/abs/2010.01703v1

    • [cs.SE]Code to Comment “Translation”: Data, Metrics, Baselining & Evaluation
    David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu
    http://arxiv.org/abs/2010.01410v1

    • [cs.SE]Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
    Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney
    http://arxiv.org/abs/2010.01625v1

    • [cs.SE]Discovering Object-Centric Petri Nets
    Wil M. P. van der Aalst, Alessandro Berti
    http://arxiv.org/abs/2010.02047v1

    • [cs.SE]Reproducible Science with \LaTeX
    Haim Bar, HaiYing Wang
    http://arxiv.org/abs/2010.01482v1

    • [cs.SI]A Privacy Preserved and Cost Efficient Control Scheme for Coronavirus Outbreak Using Call Data Record and Contact Tracing
    Shibli Nisar, Syed Muhammad Ali Zuhaib, Abasin Ulasyar, Muhammad Tariq
    http://arxiv.org/abs/2010.01521v1

    • [cs.SI]Analysis of online misinformation during the peak of the COVID-19 pandemics in Italy
    Guido Caldarelli, Rocco de Nicola, Marinella Petrocchi, Manuel Pratelli, Fabio Saracco
    http://arxiv.org/abs/2010.01913v1

    • [cs.SI]Complex Network Analysis of North American Institutions of Higher Education on Twitter
    Dmitry Zinoviev, Shana Cote, Robert Diaz
    http://arxiv.org/abs/2010.01209v1

    • [cs.SI]FaNDS: Fake News Detection System Using Energy Flow
    Jiawei Xu, Vladimir Zadorozhny, Danchen Zhang, John Grant
    http://arxiv.org/abs/2010.02097v1

    • [cs.SI]Interdependent Diffusion: The social contagion of interacting beliefs
    James P. Houghton
    http://arxiv.org/abs/2010.02188v1

    • [cs.SI]Joint Inference of Structure and Diffusion in Partially Observed Social Networks
    Maryam Ramezani, Amirmohammad Ziaei, Hamid R. Rabiee
    http://arxiv.org/abs/2010.01400v1

    • [cs.SI]Mining and modeling complex leadership-followership dynamics of movement data
    Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
    http://arxiv.org/abs/2010.01587v1

    • [cs.SI]Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
    Chen Feng, Luoyi Fu, Bo Jiang, Haisong Zhang, Xinbing Wang, Feilong Tang, Guihai Chen
    http://arxiv.org/abs/2010.01331v1

    • [cs.SI]Right and left, partisanship predicts vulnerability to misinformation
    Dimitar Nikolov, Alessandro Flammini, Filippo Menczer
    http://arxiv.org/abs/2010.01462v1

    • [econ.EM]A Class of Time-Varying Vector Moving Average Models: Nonparametric Kernel Estimation and Application
    Yayi Yan, Jiti Gao, Bin Peng
    http://arxiv.org/abs/2010.01492v1

    • [eess.AS]D3Net: Densely connected multidilated DenseNet for music source separation
    Naoya Takahashi, Yuki Mitsufuji
    http://arxiv.org/abs/2010.01733v1

    • [eess.IV]A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset
    David Azcona, Kevin McGuinness, Alan F. Smeaton
    http://arxiv.org/abs/2010.01947v1

    • [eess.IV]AFN: Attentional Feedback Network based 3D Terrain Super-Resolution
    Ashish Kubade, Diptiben Patel, Avinash Sharma, K. S. Rajan
    http://arxiv.org/abs/2010.01626v1

    • [eess.IV]AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning
    Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze, Jan S. Kirschke, David Robben
    http://arxiv.org/abs/2010.01617v1

    • [eess.IV]Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
    Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek S. Kamilov
    http://arxiv.org/abs/2010.01446v1

    • [eess.IV]Automatic CAD-RADS Scoring Using Deep Learning
    Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
    http://arxiv.org/abs/2010.01963v1

    • [eess.IV]COVID-19 Classification of X-ray Images Using Deep Neural Networks
    Elisha Goldstein, Daphna Keidar, Daniel Yaron, Yair Shachar, Ayelet Blass, Leonid Charbinsky, Israel Aharony, Liza Lifshitz, Dimitri Lumelsky, Ziv Neeman, Matti Mizrachi, Majd Hajouj, Nethanel Eizenbach, Eyal Sela, Chedva S Weiss, Philip Levin, Ofer Benjaminov, Gil N Bachar, Shlomit Tamir, Yael Rapson, Dror Suhami, Amiel A Dror, Naama R Bogot, Ahuva Grubstein, Nogah Shabshin, Yishai M Elyada, Yonina C Eldar
    http://arxiv.org/abs/2010.01362v1

    • [eess.IV]Improving Lesion Detection by exploring bias on Skin Lesion dataset
    Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak, Azadeh Mobasher, Pawel Janowski, Rahul Dodhia, Juan M. Lavista Ferres
    http://arxiv.org/abs/2010.01485v1

    • [eess.IV]KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
    Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
    http://arxiv.org/abs/2010.01663v1

    • [eess.IV]Surface Agnostic Metrics for Cortical Volume Segmentation and Regression
    Samuel Budd, Prachi Patkee, Ana Baburamani, Mary Rutherford, Emma C. Robinson, Bernhard Kainz
    http://arxiv.org/abs/2010.01669v1

    • [eess.IV]Test-time Unsupervised Domain Adaptation
    Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
    http://arxiv.org/abs/2010.01926v1

    • [eess.IV]Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
    Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
    http://arxiv.org/abs/2010.01532v1

    • [eess.IV]Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
    Bao Nguyen, Adam Feldman, Sarath Bethapudi, Andrew Jennings, Chris G. Willcocks
    http://arxiv.org/abs/2010.01942v1

    • [eess.IV]autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
    Ruisheng Su, Sandra A. P. Cornelissen, Matthijs van der Sluijs, Adriaan C. G. M. van Es, Wim H. van Zwam, Diederik W. J. Dippel, Geert Lycklama, Pieter Jan van Doormaal, Wiro J. Niessen, Aad van der Lugt, Theo van Walsum
    http://arxiv.org/abs/2010.01432v1

    • [eess.SP]A Separation Method for Multicomponent Nonstationary Signals with Crossover Instantaneous Frequencies
    Lin Li, Ningning Han, Qingtang Jiang, Charles K. Chui
    http://arxiv.org/abs/2010.01498v1

    • [eess.SP]Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
    Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2010.01414v1

    • [eess.SP]Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming
    Dixon Vimalajeewa, Subhasis Thakur, John Breslin, Donagh P. Berry, Sasitharan Balasubramaniam
    http://arxiv.org/abs/2010.01941v1

    • [eess.SP]FaultNet: A Deep Convolutional Neural Network for bearing fault classification
    Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani
    http://arxiv.org/abs/2010.02146v1

    • [eess.SP]Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
    Sarah E. Houts, Nahid Pervez, Umair Ibrahim, Gaurav Pandey, Tyler G. R. Reid
    http://arxiv.org/abs/2010.01774v1

    • [eess.SP]Non-Linear Self-Interference Cancellation via Tensor Completion
    Freek Jochems, Alexios Balatsoukas-Stimming
    http://arxiv.org/abs/2010.01868v1

    • [math-ph]Ke Li’s lemma for quantum hypothesis testing in general von Neumann algebras
    Yan Pautrat, Simeng Wang
    http://arxiv.org/abs/2010.02177v1

    • [math.DS]A fast memoryless predictive algorithm in a chain of recurrent neural networks
    Boris Rubinstein
    http://arxiv.org/abs/2010.02115v1

    • [math.MG]An Infinite, Converging, Sequence of Brocard Porisms
    Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2010.01391v1

    • [math.NA]Deep Learning algorithms for solving high dimensional nonlinear Backward Stochastic Differential Equations
    Lorenc Kapllani, Long Teng
    http://arxiv.org/abs/2010.01319v1

    • [math.OC]Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
    Le Thi Khanh Hien, Nicolas Gillis
    http://arxiv.org/abs/2010.01935v1

    • [math.OC]Average-case Acceleration for Bilinear Games and Normal Matrices
    Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
    http://arxiv.org/abs/2010.02076v1

    • [math.OC]Optimal Control of a Soft CyberOctopus Arm
    Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta
    http://arxiv.org/abs/2010.01226v1

    • [math.OC]Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
    Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
    http://arxiv.org/abs/2010.01848v1

    • [math.PR]Broadcasting on Two-Dimensional Regular Grids
    Anuran Makur, Elchanan Mossel, Yury Polyanskiy
    http://arxiv.org/abs/2010.01390v1

    • [math.ST]A Kernel Measure of Association
    Nabarun Deb, Promit Ghosal, Bodhisattva Sen
    http://arxiv.org/abs/2010.01768v1

    • [math.ST]All-Pass Filters for Mirroring Pairs of Complex-Conjugated Roots of Rational Matrix Functions
    Wolfgang Scherrer, Bernd Funovits
    http://arxiv.org/abs/2010.01598v1

    • [math.ST]Bayesian Fixed-domain Asymptotics: Bernstein-von Mises Theorem for Covariance Parameters in a Gaussian Process Model
    Cheng Li
    http://arxiv.org/abs/2010.02126v1

    • [math.ST]Factor and factor loading augmented estimators for panel regression
    Jad Beyhum, Eric Gautier
    http://arxiv.org/abs/2010.01837v1

    • [physics.app-ph]Identification of Anomalous Diffusion Sources by Unsupervised Learning
    Raviteja Vangara, Kim Ø. Rasmussen, Dimiter N. Petsev, Golan Bel, Boian S. Alexandrov
    http://arxiv.org/abs/2010.02168v1

    • [physics.comp-ph]Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
    Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini
    http://arxiv.org/abs/2010.01835v1

    • [physics.soc-ph]Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations
    Xiaoye Ding, Shenyang Huang, Abby Leung, Reihaneh Rabbany
    http://arxiv.org/abs/2010.01408v1

    • [q-bio.PE]On the Identifiability of Phylogenetic Networks under a Pseudolikelihood model
    Claudia Solis-Lemus, Arrigo Coen, Cecile Ane
    http://arxiv.org/abs/2010.01758v1

    • [q-bio.QM]Factorized linear discriminant analysis for phenotype-guided representation learning of neuronal gene expression data
    Mu Qiao, Markus Meister
    http://arxiv.org/abs/2010.02171v1

    • [quant-ph]A rigorous and robust quantum speed-up in supervised machine learning
    Yunchao Liu, Srinivasan Arunachalam, Kristan Temme
    http://arxiv.org/abs/2010.02174v1

    • [stat.AP]Correlation between Air and Urban Travelling with New Confirmed Cases of COVID-19 A Case Study
    Soheil Shirvani, Anita Ghandehari, Hadi Moradi
    http://arxiv.org/abs/2010.01413v1

    • [stat.AP]Modeling of Covid-19 Pandemic in Cyprus
    Sergios Agapiou, Andreas Anastasiou, Anastassia Baxevani, Tasos Christofides, Elisavet Constantinou, Georgios Hadjigeorgiou, Christos Nicolaides, Georgios Nikolopoulos, Konstantinos Fokianos
    http://arxiv.org/abs/2010.01927v1

    • [stat.AP]One-sided Shewhart control charts for monitoring the ratio of two normal variables in Short Production Runs
    K. D. Tran, Q. U. A Khaliq, A. A. Nadi, H Tran, K. P. Tran
    http://arxiv.org/abs/2010.01297v1

    • [stat.AP]Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over maximum marginal likelihood
    Joshua C. Chang, Julia Porcino, Elizabeth K. Rasch, Larry Tang
    http://arxiv.org/abs/2010.01396v1

    • [stat.AP]Statistical Assessment of Safety Levels of Railway Operators
    Jens Braband, Hendrik Schäbe
    http://arxiv.org/abs/2010.01568v1

    • [stat.ME]A Taxonomy of Polytomous Item Response Models
    Gerhard Tutz
    http://arxiv.org/abs/2010.01382v1

    • [stat.ME]Causal Inference with Bipartite Designs
    Nick Doudchenko, Minzhengxiong Zhang, Evgeni Drynkin, Edoardo Airoldi, Vahab Mirrokni, Jean Pouget-Abadie
    http://arxiv.org/abs/2010.02108v1

    • [stat.ME]Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices
    Nadja Klein, Michael Stanley Smith, David J. Nott
    http://arxiv.org/abs/2010.01844v1

    • [stat.ME]Efficient multiply robust imputation in the presence of influential units in surveys
    Sixia Chen, David Haziza, Victoire Michal
    http://arxiv.org/abs/2010.01706v1

    • [stat.ME]Empirical Likelihood Inference in Randomized Controlled Trials with High-Dimensional Covariates
    Wei Liang, Ying Yan
    http://arxiv.org/abs/2010.01772v1

    • [stat.ME]Propensity Score Weighting for Causal Subgroup Analysis
    Siyun Yang, Elizabeth Lorenzi, Georgia Papadogeorgou, Daniel M. Wojdyla, Fan Li, Laine E. Thomas
    http://arxiv.org/abs/2010.02121v1

    • [stat.ME]Randomized tests for high-dimensional regression: A more efficient and powerful solution
    Yue Li, Ilmun Kim, Yuting Wei
    http://arxiv.org/abs/2010.01289v1

    • [stat.ME]The use of restricted mean time lost under competing risks data
    Jingjing Lyu, Yawen Hou, Zheng Chen
    http://arxiv.org/abs/2010.02071v1

    • [stat.ML]Covariate Shift Adaptation in High-Dimensional and Divergent Distributions
    Felipe Maia Polo, Renato Vicente
    http://arxiv.org/abs/2010.01184v1

    • [stat.ML]Deep kernel processes
    Laurence Aitchison, Adam X. Yang, Sebastian W. Ober
    http://arxiv.org/abs/2010.01590v1

    • [stat.ML]Diversity-Preserving K-Armed Bandits, Revisited
    Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
    http://arxiv.org/abs/2010.01874v1

    • [stat.ML]Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
    Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
    http://arxiv.org/abs/2010.01787v1

    • [stat.ML]Is Information Theory Inherently a Theory of Causation?
    David Sigtermans
    http://arxiv.org/abs/2010.01932v1

    • [stat.ML]Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
    Ning Ning
    http://arxiv.org/abs/2010.01654v1

    • [stat.ML]On the Universality of the Double Descent Peak in Ridgeless Regression
    David Holzmüller
    http://arxiv.org/abs/2010.01851v1

    • [stat.ML]Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
    Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
    http://arxiv.org/abs/2010.01823v1

    • [stat.ML]Random Coordinate Langevin Monte Carlo
    Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
    http://arxiv.org/abs/2010.01405v1

    • [stat.ML]Self-Supervised Variational Auto-Encoders
    Ioannis Gatopoulos, Jakub M. Tomczak
    http://arxiv.org/abs/2010.02014v1

    • [stat.ML]Sparse Quantized Spectral Clustering
    Zhenyu Liao, Romain Couillet, Michael W. Mahoney
    http://arxiv.org/abs/2010.01376v1