cond-mat.mtrl-sci - 材料科学

    cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.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.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.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.OC - 优化与控制 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 q-bio.MN - 分子网络 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.GN - 通用财务 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

    • [cond-mat.mtrl-sci]Persistent homology advances interpretable machine learning for nanoporous materials
    • [cond-mat.stat-mech]Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition
    • [cs.AI]Adaptive Multi-grained Graph Neural Networks
    • [cs.AI]Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information
    • [cs.AI]Constraint Monotonicity, Epistemic Splitting and Foundedness Are Too Strong in Answer Set Programming
    • [cs.AI]Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
    • [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
    • [cs.AI]Extracting Concepts for Precision Oncology from the Biomedical Literature
    • [cs.AI]Fast Decomposition of Temporal Logic Specifications for Heterogeneous Teams
    • [cs.AI]Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
    • [cs.AI]Mediating Artificial Intelligence Developments through Negative and Positive Incentives
    • [cs.AI]Meta-Heuristic Solutions to a Student Grouping Optimization Problem faced in Higher Education Institutions
    • [cs.AI]Multi-Agent Systems based on Contextual Defeasible Logic considering Focus
    • [cs.AI]Optimal Task Assignment to Heterogeneous Federated Learning Devices
    • [cs.AI]Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
    • [cs.AI]When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
    • [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
    • [cs.CL]”Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings
    • [cs.CL]A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
    • [cs.CL]A Survey on Explainability in Machine Reading Comprehension
    • [cs.CL]AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
    • [cs.CL]Citation Sentiment Changes Analysis
    • [cs.CL]CoLAKE: Contextualized Language and Knowledge Embedding
    • [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
    • [cs.CL]CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
    • [cs.CL]Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT
    • [cs.CL]Evaluating Multilingual BERT for Estonian
    • [cs.CL]Examining the rhetorical capacities of neural language models
    • [cs.CL]How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
    • [cs.CL]ISAAQ — Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention
    • [cs.CL]Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models
    • [cs.CL]Interactive Re-Fitting as a Technique for Improving Word Embeddings
    • [cs.CL]Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
    • [cs.CL]Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT
    • [cs.CL]Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation
    • [cs.CL]LiveQA: A Question Answering Dataset over Sports Live
    • [cs.CL]Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
    • [cs.CL]Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting
    • [cs.CL]Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary
    • [cs.CL]Understanding tables with intermediate pre-training
    • [cs.CL]WeChat Neural Machine Translation Systems for WMT20
    • [cs.CR]EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
    • [cs.CV]A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
    • [cs.CV]Action Units Recognition with Pairwise Deep Architecture
    • [cs.CV]An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
    • [cs.CV]Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue
    • [cs.CV]Can You Trust Your Pose? Confidence Estimation in Visual Localization
    • [cs.CV]CariMe: Unpaired Caricature Generation with Multiple Exaggerations
    • [cs.CV]Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
    • [cs.CV]DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
    • [cs.CV]DOT: Dynamic Object Tracking for Visual SLAM
    • [cs.CV]Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector
    • [cs.CV]DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
    • [cs.CV]Deformable Kernel Convolutional Network for Video Extreme Super-Resolution
    • [cs.CV]Depth Estimation from Monocular Images and Sparse Radar Data
    • [cs.CV]Few-Shot Classification By Few-Iteration Meta-Learning
    • [cs.CV]From Handcrafted to Deep Features for Pedestrian Detection: A Survey
    • [cs.CV]GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization
    • [cs.CV]Linguistic Structure Guided Context Modeling for Referring Image Segmentation
    • [cs.CV]MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
    • [cs.CV]MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
    • [cs.CV]Meta-Consolidation for Continual Learning
    • [cs.CV]Mini-DDSM: Mammography-based Automatic Age Estimation
    • [cs.CV]Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge
    • [cs.CV]Neural encoding with visual attention
    • [cs.CV]Open-Set Hypothesis Transfer with Semantic Consistency
    • [cs.CV]Quantum Annealing Approaches to the Phase-Unwrapping Problem in Synthetic-Aperture Radar Imaging
    • [cs.CV]RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
    • [cs.CV]Referring Image Segmentation via Cross-Modal Progressive Comprehension
    • [cs.CV]Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
    • [cs.CV]Teacher-Critical Training Strategies for Image Captioning
    • [cs.CV]The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations
    • [cs.CV]Training general representations for remote sensing using in-domain knowledge
    • [cs.CV]X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
    • [cs.CY]A Survey of H-index, Stress, Tenure & Reference Management software use in Academia
    • [cs.CY]An Analysis of Blockchain Adoption in Supply Chains Between 2010 and 2020
    • [cs.CY]Artificial Creations: Ascription, Ownership, Time-Specific Monopolies
    • [cs.DB]Understanding the hardness of approximate query processing with joins
    • [cs.DB]Workflow Provenance in the Lifecycle of Scientific Machine Learning
    • [cs.DC]$t$-Resilient $k$-Immediate Snapshot and its Relation with Agreement Problems
    • [cs.DC]Modelling the earth’s geomagnetic environment on Cray machines using PETSc and SLEPc
    • [cs.DC]PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters
    • [cs.DC]Supercomputing with MPI meets the Common Workflow Language standards: an experience report
    • [cs.DC]Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
    • [cs.DS]From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
    • [cs.GR]Dynamic Facial Asset and Rig Generation from a Single Scan
    • [cs.HC]Designing Indicators to Combat Fake Media
    • [cs.HC]Developing Effective Community Network Analysis Tools According to Visualization Psychology
    • [cs.IR]Dual Attention Model for Citation Recommendation
    • [cs.IR]One Person, One Model, One World: Learning Continual User Representation without Forgetting
    • [cs.IR]RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
    • [cs.IT]Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect
    • [cs.IT]Machine Learning at Wireless Edge with OFDM and Low Resolution ADC and DAC
    • [cs.IT]Massive Uncoordinated Multiple Access for Beyond 5G
    • [cs.IT]On two conjectures about the intersection distribution
    • [cs.IT]Recoverable Systems
    • [cs.LG]${\rm N{\small ode}S{\small ig}}$: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings
    • [cs.LG]A general approach for identifying hierarchical symmetry constraints for analog circuit layout
    • [cs.LG]Active Inference or Control as Inference? A Unifying View
    • [cs.LG]Adaptive Online Estimation of Piecewise Polynomial Trends
    • [cs.LG]Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
    • [cs.LG]Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
    • [cs.LG]Bag of Tricks for Adversarial Training
    • [cs.LG]Bayesian Policy Search for Stochastic Domains
    • [cs.LG]Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
    • [cs.LG]CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
    • [cs.LG]Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
    • [cs.LG]Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
    • [cs.LG]Deep learning for time series classification
    • [cs.LG]Deep matrix factorizations
    • [cs.LG]Direct Multi-hop Attention based Graph Neural Network
    • [cs.LG]Efficient sampling from the Bingham distribution
    • [cs.LG]EigenGame: PCA as a Nash Equilibrium
    • [cs.LG]Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
    • [cs.LG]GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
    • [cs.LG]Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control
    • [cs.LG]Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
    • [cs.LG]Learning to be safe, in finite time
    • [cs.LG]Linear-Sample Learning of Low-Rank Distributions
    • [cs.LG]Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
    • [cs.LG]Minimax Optimal Reinforcement Learning for Discounted MDPs
    • [cs.LG]Multi-agent Social Reinforcement Learning Improves Generalization
    • [cs.LG]Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks
    • [cs.LG]Predicting the flow field in a U-bend with deep neural networks
    • [cs.LG]Probabilistic Programs with Stochastic Conditioning
    • [cs.LG]Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology
    • [cs.LG]RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
    • [cs.LG]Ray-based classification framework for high-dimensional data
    • [cs.LG]Realistic Image Normalization for Multi-Domain Segmentation
    • [cs.LG]Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems
    • [cs.LG]Stage-wise Conservative Linear Bandits
    • [cs.LG]Student-Initiated Action Advising via Advice Novelty
    • [cs.LG]Think before you act: A simple baseline for compositional generalization
    • [cs.LG]Training Data Augmentation for Deep Learning RF Systems
    • [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
    • [cs.LG]Understanding Self-supervised Learning with Dual Deep Networks
    • [cs.LG]Understanding the Role of Adversarial Regularization in Supervised Learning
    • [cs.LG]Understanding the Role of Momentum in Non-Convex Optimization: Practical Insights from a Lyapunov Analysis
    • [cs.LG]Universal time-series forecasting with mixture predictors
    • [cs.LG]Unknown Delay for Adversarial Bandit Setting with Multiple Play
    • [cs.LG]Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control
    • [cs.LG]Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
    • [cs.NE]A Niching Indicator-Based Multi-modal Many-objective Optimizer
    • [cs.NE]Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE
    • [cs.NI]Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications
    • [cs.NI]Towards Self-learning Edge Intelligence in 6G
    • [cs.RO]A Direct-Indirect Hybridization Approach to Control-Limited DDP
    • [cs.RO]GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization
    • [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
    • [cs.SD]FSD50K: an Open Dataset of Human-Labeled Sound Events
    • [cs.SD]The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction
    • [cs.SI]AMUSED: An Annotation Framework of Multi-modal Social Media Data
    • [cs.SI]Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homology
    • [cs.SI]Community embeddings reveal large-scale cultural organization of online platforms
    • [cs.SI]Information Propagation Model in Hybrid Networks
    • [cs.SI]Opinion dynamics in tie-decay networks
    • [cs.SI]Who Are the `Silent Spreaders’?: Contact Tracing in Spatio-Temporal Memory Models
    • [eess.AS]SESQA: semi-supervised learning for speech quality assessment
    • [eess.IV]A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
    • [eess.IV]DEEPMIR: A DEEP convolutiona
    1000
    l neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI
    • [eess.IV]Deep Group-wise Variational Diffeomorphic Image Registration
    • [eess.IV]High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
    • [eess.IV]Improving spatial domain based image formation through compressed sensing
    • [eess.IV]Light Field Compression by Residual CNN Assisted JPEG
    • [eess.IV]Sampling possible reconstructions of undersampled acquisitions in MR imaging
    • [eess.IV]Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images
    • [eess.SP]System Design and Analysis for Energy-Efficient Passive UAV Radar Imaging System using Illuminators of Opportunity
    • [eess.SY]Centrality in Epidemic Networks with Time-Delay: A Decision-Support Framework for Epidemic Containment
    • [math.DS]A Finite Memory Interacting Pólya Contagion Network and its Approximating Dynamical Systems
    • [math.OC]Entropy Regularization for Mean Field Games with Learning
    • [math.OC]First-order Optimization for Superquantile-based Supervised Learning
    • [math.OC]Robust Model-Free Learning and Control without Prior Knowledge
    • [physics.chem-ph]Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry
    • [physics.comp-ph]A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity
    • [physics.comp-ph]Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
    • [physics.med-ph]Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
    • [q-bio.MN]Incorporating network based protein complex discovery into automated model construction
    • [q-bio.NC]A biologically plausible neural network for multi-channel Canonical Correlation Analysis
    • [q-bio.PE]Comparisons of Pooling Matrices for Pooled Testing of COVID-19
    • [q-bio.QM]Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
    • [q-fin.GN]How Macroeconomists Lost Control of Stabilization Policy: Towards Dark Ages
    • [quant-ph]Avoiding coherent errors with rotated concatenated stabilizer codes
    • [quant-ph]Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
    • [stat.AP]Bayesian spatial modelling of terrestrial radiation in Switzerland
    • [stat.AP]Model-based Bayesian inference of disease outbreak with invertible neural networks
    • [stat.ME]A note on the amount of information borrowed from external data in hybrid controlled trials with time-to-event outcomes
    • [stat.ME]Analysis of the weighted kappa and its maximum with Markov moves
    • [stat.ME]Defining and Estimating Subgroup Mediation Effects with Semi-Competing Risks Data
    • [stat.ME]Estimation in exponential family Regression based on linked data contaminated by mismatch error
    • [stat.ME]Estimation of copulas via Maximum Mean Discrepancy
    • [stat.ME]Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
    • [stat.ME]Neighbourhood Bootstrap for Respondent-Driven Sampling
    • [stat.ME]Non-parametric regression for networks
    • [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
    • [stat.ME]Reducing Subspace Models for Large-Scale Covariance Regression
    • [stat.ML]A survey on natural language processing (nlp) and applications in insurance
    • [stat.ML]Analysis of KNN Density Estimation
    • [stat.ML]Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates

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

    • [cond-mat.mtrl-sci]Persistent homology advances interpretable machine learning for nanoporous materials
    Aditi S. Krishnapriyan, Joseph Montoya, Jens Hummelshøj, Dmitriy Morozov
    http://arxiv.org/abs/2010.00532v1

    • [cond-mat.stat-mech]Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition
    Dongkyu Kim, Dong-Hee Kim
    http://arxiv.org/abs/2010.00351v1

    • [cs.AI]Adaptive Multi-grained Graph Neural Networks
    Zhiqiang Zhong, Cheng-te Li, Jun Pang
    http://arxiv.org/abs/2010.00238v1

    • [cs.AI]Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information
    Florian Mirus, Terrence C. Stewart, Jorg Conradt
    http://arxiv.org/abs/2010.00055v1

    • [cs.AI]Constraint Monotonicity, Epistemic Splitting and Foundedness Are Too Strong in Answer Set Programming
    Yi-Dong Shen, Thomas Eiter
    http://arxiv.org/abs/2010.00191v1

    • [cs.AI]Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
    Maithilee Kunda, Irina Rabkina
    http://arxiv.org/abs/2010.00048v1

    • [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
    Robert R. Hoffman, William J. Clancey, Shane T. Mueller
    http://arxiv.org/abs/2009.14795v2

    • [cs.AI]Extracting Concepts for Precision Oncology from the Biomedical Literature
    Nicholas Greenspan, Yuqi Si, Kirk Roberts
    http://arxiv.org/abs/2010.00074v1

    • [cs.AI]Fast Decomposition of Temporal Logic Specifications for Heterogeneous Teams
    Kevin Leahy, Austin Jones, Cristian-Ioan Vasile
    http://arxiv.org/abs/2010.00030v1

    • [cs.AI]Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
    Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien
    http://arxiv.org/abs/2010.00134v1

    • [cs.AI]Mediating Artificial Intelligence Developments through Negative and Positive Incentives
    The Anh Han, Luis Moniz Pereira, Tom Lenaerts, Francisco C. Santos
    http://arxiv.org/abs/2010.00403v1

    • [cs.AI]Meta-Heuristic Solutions to a Student Grouping Optimization Problem faced in Higher Education Institutions
    Patrick Kenekayoro, Biralatei Fawei
    http://arxiv.org/abs/2010.00499v1

    • [cs.AI]Multi-Agent Systems based on Contextual Defeasible Logic considering Focus
    Helio H. L. C. Monte-Alto, Mariela Morveli-Espinoza, Cesar A. Tacla
    http://arxiv.org/abs/2010.00168v1

    • [cs.AI]Optimal Task Assignment to Heterogeneous Federated Learning Devices
    Laércio Lima Pilla
    http://arxiv.org/abs/2010.00239v1

    • [cs.AI]Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
    Suiyi Ling, Jing Li, Anne Flore Perrin, Zhi Li, Lukáš Krasula, Patrick Le Callet
    http://arxiv.org/abs/2010.00370v1

    • [cs.AI]When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
    Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez-Sánchez
    http://arxiv.org/abs/2010.00353v1

    • [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
    Camille Coti, David Monniaux, Hang Yu
    http://arxiv.org/abs/2009.14435v1

    • [cs.CL]“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings
    Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary, Kavita Maurya
    http://arxiv.org/abs/2010.00310v1

    • [cs.CL]A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
    Longxuan Ma, Weinan Zhang, Runxin Sun, Ting Liu
    http://arxiv.org/abs/2010.00190v1

    • [cs.CL]A Survey on Explainability in Machine Reading Comprehension
    Mokanarangan Thayaparan, Marco Valentino, André Freitas
    http://arxiv.org/abs/2010.00389v1

    • [cs.CL]AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
    Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2010.00038v1

    • [cs.CL]Citation Sentiment Changes Analysis
    Haixia Liu
    http://arxiv.org/abs/2010.00372v1

    • [cs.CL]CoLAKE: Contextualized Language and Knowledge Embedding
    Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
    http://arxiv.org/abs/2010.00309v1

    • [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
    Yusheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun
    http://arxiv.org/abs/2009.13964v3

    • [cs.CL]CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
    Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman
    http://arxiv.org/abs/2010.00133v1

    • [cs.CL]Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT
    Hind Saleh Alatawi, Areej Maatog Alhothali, Kawthar Mustafa Moria
    http://arxiv.org/abs/2010.00357v1

    • [cs.CL]Evaluating Multilingual BERT for Estonian
    Claudia Kittask, Kirill Milintsevich, Kairit Sirts
    http://arxiv.org/abs/2010.00454v1

    • [cs.CL]Examining the rhetorical capacities of neural language models
    Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz
    http://arxiv.org/abs/2010.00153v1

    • [cs.CL]How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
    Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
    http://arxiv.org/abs/2010.00363v1

    • [cs.CL]ISAAQ — Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention
    Jose Manuel Gomez-Perez, Raul Ortega
    http://arxiv.org/abs/2010.00562v1

    • [cs.CL]Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models
    Thai Binh Nguyen, Quang Minh Nguyen, Thi Thu Hien Nguyen, Quoc Truong Do, Chi Mai Luong
    http://arxiv.org/abs/2010.00198v1

    • [cs.CL]Interactive Re-Fitting as a Technique for Improving Word Embeddings
    James Powell, Kari Sentz
    http://arxiv.org/abs/2010.00121v1

    • [cs.CL]Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
    Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
    http://arxiv.org/abs/2010.00577v1

    • [cs.CL]Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT
    Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi
    http://arxiv.org/abs/2010.00287v1

    • [cs.CL]Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation
    Lena Reed, Vrindavan Harrison, Shereen Oraby, Dilek Hakkani-Tur, Marilyn Walker
    http://arxiv.org/abs/2010.00150v1

    • [cs.CL]LiveQA: A Question Answering Dataset over Sports Live
    Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li
    http://arxiv.org/abs/2010.00526v1

    • [cs.CL]Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
    Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
    http://arxiv.org/abs/2010.00117v1

    • [cs.CL]Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting
    Anshul Wadhawan
    http://arxiv.org/abs/2010.00294v1

    • [cs.CL]Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary
    Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth
    http://arxiv.org/abs/2010.00490v1

    • [cs.CL]Understanding tables with intermediate pre-training
    Julian Martin Eisenschlos, Syrine Krichine, Thomas Müller
    http://arxiv.org/abs/2010.00571v1

    • [cs.CL]WeChat Neural Machine Translation Systems for WMT20
    Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
    http://arxiv.org/abs/2010.00247v1

    • [cs.CR]EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
    Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi
    http://arxiv.org/abs/2010.00341v1

    • [cs.CV]A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
    Xing Liang, Anastassia Angelopoulou, Epaminondas Kapetanios, Bencie Woll, Reda Al-batat, Tyron Woolfe
    http://arxiv.org/abs/2010.00536v1

    • [cs.CV]Action Units Recognition with Pairwise Deep Architecture
    Junya Saito, Kentaro Murase
    http://arxiv.org/abs/2010.00288v1

    • [cs.CV]An Ultra Lightweight CNN for Low Resource Circuit Component Recognition
    Yingnan Ju, Yue Chen
    http://arxiv.org/abs/2010.00505v1

    • [cs.CV]Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue
    Zipeng Xu, Fangxiang Feng, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Ouyang
    http://arxiv.org/abs/2010.00361v1

    • [cs.CV]Can You Trust Your Pose? Confidence Estimation in Visual Localization
    Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala
    http://arxiv.org/abs/2010.00347v1

    • [cs.CV]CariMe: Unpaired Caricature Generation with Multiple Exaggerations
    Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
    http://arxiv.org/abs/2010.00246v1

    • [cs.CV]Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
    Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
    http://arxiv.org/abs/2010.00291v1

    • [cs.CV]DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
    Hanjiang Hu, Ming Cheng, Zhe Liu, Hesheng Wang
    http://arxiv.org/abs/2010.00573v1

    • [cs.CV]DOT: Dynamic Object Tracking for Visual SLAM
    Irene Ballester, Alejandro Fontan, Javier Civera, Klaus H. Strobl, Rudolph Triebel
    http://arxiv.org/abs/2010.00052v1

    • [cs.CV]Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector
    Lingjing Wang, Xiang Li, Yi Fang
    http://arxiv.org/abs/2010.00321v1

    • [cs.CV]DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
    Javier Hernandez-Ortega, Ruben Tolosana, Julian Fierrez, Aythami Morales
    http://arxiv.org/abs/2010.00400v1

    • [cs.CV]Deformable Kernel Convolutional Network for Video Extreme Super-Resolution
    Xuan Xu, Xin Xiong, Jinge Wang, Xin Li
    http://arxiv.org/abs/2010.00154v1

    • [cs.CV]Depth Estimation from Monocular Images and Sparse Radar Data
    Juan-Ting Lin, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2010.00058v1

    • [cs.CV]Few-Shot Classification By Few-Iteration Meta-Learning
    Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2010.00511v1

    • [cs.CV]From Handcrafted to Deep Features for Pedestrian Detection: A Survey
    Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao
    http://arxiv.org/abs/2010.00456v1

    • [cs.CV]GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization
    Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne
    http://arxiv.org/abs/2010.00067v1

    • [cs.CV]Linguistic Structure Guided Context Modeling for Referring Image Segmentation
    Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han
    http://arxiv.org/abs/2010.00515v1

    • [cs.CV]MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
    Xiaoman Qi, PanPan Zhu, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Mengfan Wu, Jialong Chen, Xudong Zhao, Ning Zang, P. Takis Mathiopoulos
    http://arxiv.org/abs/2010.00243v1

    • [cs.CV]MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
    Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, Shuang Zhao
    http://arxiv.org/abs/2010.00114v1

    • [cs.CV]Meta-Consolidation for Continual Learning
    K J Joseph, Vineeth N Balasubramanian
    http://arxiv.org/abs/2010.00352v1

    • [cs.CV]Mini-DDSM: Mammography-based Automatic Age Estimation
    Charitha Dissanayake Lekamlage, Fabia Afzal, Erik Westerberg, Abbas Cheddad
    http://arxiv.org/abs/2010.00494v1

    • [cs.CV]Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge
    Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun
    http://arxiv.org/abs/2010.00170v1

    • [cs.CV]Neural encoding with visual attention
    Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
    http://arxiv.org/abs/2010.00516v1

    • [cs.CV]Open-Set Hypothesis Transfer with Semantic Consistency
    Zeyu Feng, Chang Xu, Dacheng Tao
    http://arxiv.org/abs/2010.00292v1

    • [cs.CV]Quantum Annealing Approaches to the Phase-Unwrapping Problem in Synthetic-Aperture Radar Imaging
    Khaled A. Helal Kelany, Nikitas Dimopoulos, Clemens P. J. Adolphs, Bardia Barabadi, Amirali Baniasadi
    http://arxiv.org/abs/2010.00220v1

    • [cs.CV]RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
    Miriam Bellver, Carles Ventura, Carina Silberer, Ioannis Kazakos, Jordi Torres, Xavier Giro-i-Nieto
    http://arxiv.org/abs/2010.00263v1

    • [cs.CV]Referring Image Segmentation via Cross-Modal Progressive Comprehension
    Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li
    http://arxiv.org/abs/2010.00514v1

    • [cs.CV]Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
    Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen
    http://arxiv.org/abs/2010.00127v1

    • [cs.CV]Teacher-Critical Training Strategies for Image Captioning
    Yiqing Huang, Jiansheng Chen
    http://arxiv.org/abs/2009.
    830
    14405v1.
    830
    14405v1)

    • [cs.CV]The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations
    Florian Mirus, Terrence C. Stewart, Jorg Conradt
    http://arxiv.org/abs/2010.00084v1

    • [cs.CV]Training general representations for remote sensing using in-domain knowledge
    Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby
    http://arxiv.org/abs/2010.00332v1

    • [cs.CV]X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
    Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
    http://arxiv.org/abs/2010.00450v1

    • [cs.CY]A Survey of H-index, Stress, Tenure & Reference Management software use in Academia
    Jose Berengueres, Pavel Nesterov
    http://arxiv.org/abs/2010.00358v1

    • [cs.CY]An Analysis of Blockchain Adoption in Supply Chains Between 2010 and 2020
    Nikhil Vadgama, Paolo Tasca
    http://arxiv.org/abs/2010.00092v1

    • [cs.CY]Artificial Creations: Ascription, Ownership, Time-Specific Monopolies
    Raj Shekhar
    http://arxiv.org/abs/2010.00543v1

    • [cs.DB]Understanding the hardness of approximate query processing with joins
    Tianyu Liu, Chi Wang
    http://arxiv.org/abs/2010.00307v1

    • [cs.DB]Workflow Provenance in the Lifecycle of Scientific Machine Learning
    Renan Souza, Leonardo G. Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Marcio Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
    http://arxiv.org/abs/2010.00330v1

    • [cs.DC]$t$-Resilient $k$-Immediate Snapshot and its Relation with Agreement Problems
    Carole Delporte, Hugues Fauconnier, Sergio Rajsbaum, Michel Raynal
    http://arxiv.org/abs/2010.00096v1

    • [cs.DC]Modelling the earth’s geomagnetic environment on Cray machines using PETSc and SLEPc
    Nick Brown, Brian Bainbridge, Ciarán Beggan, Susan Macmillan, William Brown, Brian Hamilton
    http://arxiv.org/abs/2010.00283v1

    • [cs.DC]PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters
    Isabelly Rocha, Nathaniel Morrison, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
    http://arxiv.org/abs/2010.00501v1

    • [cs.DC]Supercomputing with MPI meets the Common Workflow Language standards: an experience report
    Rupert W. Nash, Nick Brown, Michael R. Crusoe, Max Kontak
    http://arxiv.org/abs/2010.00422v1

    • [cs.DC]Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
    Nick Brown
    http://arxiv.org/abs/2010.00289v1

    • [cs.DS]From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
    Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré
    http://arxiv.org/abs/2010.00402v1

    • [cs.GR]Dynamic Facial Asset and Rig Generation from a Single Scan
    Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li
    http://arxiv.org/abs/2010.00560v1

    • [cs.HC]Designing Indicators to Combat Fake Media
    Imani N. Sherman, Elissa M. Redmiles, Jack W. Stokes
    http://arxiv.org/abs/2010.00544v1

    • [cs.HC]Developing Effective Community Network Analysis Tools According to Visualization Psychology
    Darren J. Edwards, Min Chen
    http://arxiv.org/abs/2010.00488v1

    • [cs.IR]Dual Attention Model for Citation Recommendation
    Yang Zhang, Qiang Ma
    http://arxiv.org/abs/2010.00182v1

    • [cs.IR]One Person, One Model, One World: Learning Continual User Representation without Forgetting
    Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Xiangnan He, Joemon Jose, Beibei Kong, Yudong Li
    http://arxiv.org/abs/2009.13724v2

    • [cs.IR]RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
    Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith Hall, Ryan McDonald
    http://arxiv.org/abs/2010.00200v1

    • [cs.IT]Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect
    Shu Sun, Hangsong Yan
    http://arxiv.org/abs/2010.00101v1

    • [cs.IT]Machine Learning at Wireless Edge with OFDM and Low Resolution ADC and DAC
    Busra Tegin, Tolga M. Duman
    http://arxiv.org/abs/2010.00350v1

    • [cs.IT]Massive Uncoordinated Multiple Access for Beyond 5G
    Mostafa Mohammadkarimi, Octavia A. Dobre, Moe Z. Win
    http://arxiv.org/abs/2010.00098v1

    • [cs.IT]On two conjectures about the intersection distribution
    Yubo Li, Kangquan Li, Longjiang Qu
    http://arxiv.org/abs/2010.00312v1

    • [cs.IT]Recoverable Systems
    Ohad Elishco, Alexander Barg
    http://arxiv.org/abs/2010.00589v1

    • [cs.LG]${\rm N{\small ode}S{\small ig}}$: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings
    Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros
    http://arxiv.org/abs/2010.00261v1

    • [cs.LG]A general approach for identifying hierarchical symmetry constraints for analog circuit layout
    Kishor Kunal, Jitesh Poojary, Tonmoy Dhar, Meghna Madhusudan, Ramesh Harjani, Sachin S. Sapatnekar
    http://arxiv.org/abs/2010.00051v1

    • [cs.LG]Active Inference or Control as Inference? A Unifying View
    Joe Watson, Abraham Imohiosen, Jan Peters
    http://arxiv.org/abs/2010.00262v1

    • [cs.LG]Adaptive Online Estimation of Piecewise Polynomial Trends
    Dheeraj Baby, Yu-Xiang Wang
    http://arxiv.org/abs/2010.00073v1

    • [cs.LG]Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
    Spencer Frei, Yuan Cao, Quanquan Gu
    http://arxiv.org/abs/2010.00539v1

    • [cs.LG]Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
    Xuezhe Ma
    http://arxiv.org/abs/2009.13586v2

    • [cs.LG]Bag of Tricks for Adversarial Training
    Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
    http://arxiv.org/abs/2010.00467v1

    • [cs.LG]Bayesian Policy Search for Stochastic Domains
    David Tolpin, Yuan Zhou, H
    d46
    ongseok Yang
    http://arxiv.org/abs/2010.00284v1

    • [cs.LG]Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
    Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni
    http://arxiv.org/abs/2010.00509v1

    • [cs.LG]CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
    Pritam Sarkar, Ali Etemad
    http://arxiv.org/abs/2010.00104v1

    • [cs.LG]Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
    Sergi Abadal, Akshay Jain, Robert Guirado, Jorge López-Alonso, Eduard Alarcón
    http://arxiv.org/abs/2010.00130v1

    • [cs.LG]Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
    Renjie Wu, Eamonn J. Keogh
    http://arxiv.org/abs/2009.13807v2

    • [cs.LG]Deep learning for time series classification
    Hassan Ismail Fawaz
    http://arxiv.org/abs/2010.00567v1

    • [cs.LG]Deep matrix factorizations
    Pierre De Handschutter, Nicolas Gillis, Xavier Siebert
    http://arxiv.org/abs/2010.00380v1

    • [cs.LG]Direct Multi-hop Attention based Graph Neural Network
    Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
    http://arxiv.org/abs/2009.14332v2

    • [cs.LG]Efficient sampling from the Bingham distribution
    Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski
    http://arxiv.org/abs/2010.00137v1

    • [cs.LG]EigenGame: PCA as a Nash Equilibrium
    Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
    http://arxiv.org/abs/2010.00554v1

    • [cs.LG]Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
    Guneet S. Dhillon, Nicholas Carlini
    http://arxiv.org/abs/2010.00071v1

    • [cs.LG]GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
    Angelica I Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
    http://arxiv.org/abs/2010.00378v1

    • [cs.LG]Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control
    Rel Guzman, Rafael Oliveira, Fabio Ramos
    http://arxiv.org/abs/2010.00202v1

    • [cs.LG]Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
    Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel
    http://arxiv.org/abs/2010.00439v1

    • [cs.LG]Learning to be safe, in finite time
    Agustin Castellano, Juan Bazerque, Enrique Mallada
    http://arxiv.org/abs/2010.00417v1

    • [cs.LG]Linear-Sample Learning of Low-Rank Distributions
    Ayush Jain, Alon Orlitsky
    http://arxiv.org/abs/2010.00064v1

    • [cs.LG]Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
    Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu
    http://arxiv.org/abs/2010.00359v1

    • [cs.LG]Minimax Optimal Reinforcement Learning for Discounted MDPs
    Jiafan He, Dongruo Zhou, Quanquan Gu
    http://arxiv.org/abs/2010.00587v1

    • [cs.LG]Multi-agent Social Reinforcement Learning Improves Generalization
    Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
    http://arxiv.org/abs/2010.00581v1

    • [cs.LG]Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks
    Arash Mahyari, Peter Pirolli
    http://arxiv.org/abs/2010.00482v1

    • [cs.LG]Predicting the flow field in a U-bend with deep neural networks
    Gergely Hajgató, Bálint Gyires-Tóth, György Paál
    http://arxiv.org/abs/2010.00258v1

    • [cs.LG]Probabilistic Programs with Stochastic Conditioning
    David Tolpin, Yuan Zhou, Hongseok Yang
    http://arxiv.org/abs/2010.00282v1

    • [cs.LG]Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology
    Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu
    http://arxiv.org/abs/2010.00401v1

    • [cs.LG]RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
    Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno Olshausen, Yubei Chen
    http://arxiv.org/abs/2010.00029v1

    • [cs.LG]Ray-based classification framework for high-dimensional data
    Justyna P. Zwolak, Sandesh S. Kalantre, Thomas McJunkin, Brian J. Weber, Jacob M. Taylor
    http://arxiv.org/abs/2010.00500v1

    • [cs.LG]Realistic Image Normalization for Multi-Domain Segmentation
    Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert
    http://arxiv.org/abs/2009.14024v2

    • [cs.LG]Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems
    Michael Everett, Golnaz Habibi, Jonathan P. How
    http://arxiv.org/abs/2010.00540v1

    • [cs.LG]Stage-wise Conservative Linear Bandits
    Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
    http://arxiv.org/abs/2010.00081v1

    • [cs.LG]Student-Initiated Action Advising via Advice Novelty
    Ercument Ilhan, Diego Perez-Liebana
    http://arxiv.org/abs/2010.00381v1

    • [cs.LG]Think before you act: A simple baseline for compositional generalization
    Christina Heinze-Deml, Diane Bouchacourt
    http://arxiv.org/abs/2009.13962v2

    • [cs.LG]Training Data Augmentation for Deep Learning RF Systems
    William H. Clark IV, Steven Hauser, William C. Headley, Alan J. Michaels
    http://arxiv.org/abs/2010.00178v1

    • [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
    Delilah Donick, Sandro Claudio Lera
    http://arxiv.org/abs/2009.14572v2

    • [cs.LG]Understanding Self-supervised Learning with Dual Deep Networks
    Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli
    http://arxiv.org/abs/2010.00578v1

    • [cs.LG]Understanding the Role of Adversarial Regularization in Supervised Learning
    Litu Rout
    http://arxiv.org/abs/2010.00522v1

    • [cs.LG]Understanding the Role of Momentum in Non-Convex Optimization: Practical Insights from a Lyapunov Analysis
    Aaron Defazio
    http://arxiv.org/abs/2010.00406v1

    • [cs.LG]Universal time-series forecasting with mixture predictors
    Daniil Ryabko
    http://arxiv.org/abs/2010.00297v1

    • [cs.LG]Unknown Delay for Adversarial Bandit Setting with Multiple Play
    Olusola T. Odeyomi
    http://arxiv.org/abs/2010.00161v1

    • [cs.LG]Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control
    Yayi Zou, Zhiwei Qin
    http://arxiv.org/abs/2010.00163v1

    • [cs.LG]Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
    Litu Rout
    http://arxiv.org/abs/2010.00521v1

    • [cs.NE]A Niching Indicator-Based Multi-modal Many-objective Optimizer
    Ryoji Tanabe, Hisao Ishibuchi
    http://arxiv.org/abs/2010.00236v1

    • [cs.NE]Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE
    Ryoji Tanabe, Hisao Ishibuchi
    http://arxiv.org/abs/2010.00265v1

    • [cs.NI]Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications
    Alejandro Cohen, Homa Esfahanizadeh, Bruno Sousa, João P. Vilela, Miguel Luís, Duarte Raposo, Francois Michel, Susana Sargento, Muriel Médard
    http://arxiv.org/abs/2010.00343v1

    • [cs.NI]Towards Self-learning Edge Intelligence in 6G
    Yong Xiao, Guangming Shi, Yingyu Li, Walid Saad, H. Vincent Poor
    http://arxiv.org/abs/2010.00176v1

    • [cs.RO]A Direct-Indirect Hybridization Approach to Control-Limited DDP
    Carlos Mastalli, Wolfgang Merkt, Josep Marti-Saumell, Joan Sola, Nicolas Mansard, Sethu Vijayakumar
    http://arxiv.org/abs/2010.00411v1

    • [cs.RO]GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization
    Eric Cristofalo, Eduardo Montijano, Mac Schwager
    http://arxiv.org/abs/2010.00156v1

    • [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
    Ruishuang Liu, Weiwei Wan, Keisuke Koyama, Kensuke Harada
    http://arxiv.org/abs/2009.14501v2

    • [cs.SD]FSD50K: an Open Dataset of Human-Labeled Sound Events
    Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
    http://arxiv.org/abs/2010.00475v1

    • [cs.SD]The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction
    Andrew McLeod, James Owers, Kazuyoshi Yoshii
    http://arxiv.org/abs/2010.00059v1

    • [cs.SI]AMUSED: An Annotation Framework of Multi-modal Social Media Data
    Gautam Kishore Shahi
    http://arxiv.org/abs/2010.00502v1

    • [cs.SI]Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homology
    Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin
    http://arxiv.org/abs/2010.00435v1

    • [cs.SI]Community embeddings reveal large-scale cultural organization of online platforms
    Isaac Waller, Ashton Anderson
    http://arxiv.org/abs/2010.00590v1

    • [cs.SI]Information Propagation Model in Hybrid Networks
    Fuzhong Nian, Hongyuan Diao
    http://arxiv.org/abs/2010.00174v1

    • [cs.SI]Opinion dynamics in tie-decay networks
    Kashin Sugishita, Mason A. Porter, Mariano Beguerisse-Díaz, Naoki Masuda
    http://arxiv.org/abs/2010.00143v1

    • [cs.SI]Who Are the `Silent Spreaders’?: Contact Tracing in Spatio-Temporal Memory Models
    Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
    http://arxiv.org/abs/2010.00187v1

    • [eess.AS]SESQA: semi-supervised learning for speech quality assessment
    Joan Serrà, Jordi Pons, Santiago Pascual
    http://arxiv.org/abs/2010.00368v1

    • [eess.IV]A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
    Marinus J. Lagerwerf, Daniel M Pelt, Willem Jan Palenstijn, K Joost Batenburg
    http://arxiv.org/abs/2010.00421v1

    • [eess.IV]DEEPMIR: A DEEP convolutiona
    1000
    l neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI
    Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware, Pascal Spincemaille, J. Rafael Romero, R. Nick Bryan, Susan R. Heckbert, Mohamad Habes
    http://arxiv.org/abs/2010.00148v1

    • [eess.IV]Deep Group-wise Variational Diffeomorphic Image Registration
    Tycho F. A. van der Ouderaa, Ivana Išgum, Wouter B. Veldhuis, Bob D. de Vos
    http://arxiv.org/abs/2010.00231v1

    • [eess.IV]High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
    Wenjia Xu, Guangluan Xu, Yang Wang, Xian Sun, Daoyu Lin, Yirong Wu
    http://arxiv.org/abs/2010.00472v1

    • [eess.IV]Improving spatial domain based image formation through compressed sensing
    Gene Stoltz, André Leon Nel
    http://arxiv.org/abs/2010.00295v1

    • [eess.IV]Light Field Compression by Residual CNN Assisted JPEG
    Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos
    http://arxiv.org/abs/2010.00062v1

    • [eess.IV]Sampling possible reconstructions of undersampled acquisitions in MR imaging
    Kerem C. Tezcan, Christian F. Baumgartner, Ender Konukoglu
    http://arxiv.org/abs/2010.00042v1

    • [eess.IV]Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images
    Abdullah Sarhan, Ali Al-KhazÁly, Adam Gorner, Andrew Swift, Jon Rokne, Reda Alhajj, Andrew Crichton
    http://arxiv.org/abs/2010.00583v1

    • [eess.SP]System Design and Analysis for Energy-Efficient Passive UAV Radar Imaging System using Illuminators of Opportunity
    Zhichao Sun, Junjie Wu, Gary G. Yen, Hang Ren, Hongyang An, Jianyu Yang
    http://arxiv.org/abs/2010.00179v1

    • [eess.SY]Centrality in Epidemic Networks with Time-Delay: A Decision-Support Framework for Epidemic Containment
    Atefe Darabi, Milad Siami
    http://arxiv.org/abs/2010.00398v1

    • [math.DS]A Finite Memory Interacting Pólya Contagion Network and its Approximating Dynamical Systems
    Somya Singh, Fady Alajaji, Bahman Gharesifard
    http://arxiv.org/abs/2010.00463v1

    • [math.OC]Entropy Regularization for Mean Field Games with Learning
    Xin Guo, Renyuan Xu, Thaleia Zariphopoulou
    http://arxiv.org/abs/2010.00145v1

    • [math.OC]First-order Optimization for Superquantile-based Supervised Learning
    Yassine Laguel, Jérôme Malick, Zaid Harchaoui
    http://arxiv.org/abs/2009.14575v2

    • [math.OC]Robust Model-Free Learning and Control without Prior Knowledge
    Dimitar Ho, John Doyle
    http://arxiv.org/abs/2010.00204v1

    • [physics.chem-ph]Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry
    Gaurav Vishwakarma, Aditya Sonpal, Johannes Hachmann
    http://arxiv.org/abs/2010.00110v1

    • [physics.comp-ph]A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity
    Mohammad Saber Hashemi, Masoud Safdari, Azadeh Sheidaei
    http://arxiv.org/abs/2010.00041v1

    • [physics.comp-ph]Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
    Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau, Thorsten Kurth, Marcus Day
    http://arxiv.org/abs/2010.00072v1

    • [physics.med-ph]Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
    Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
    http://arxiv.org/abs/2010.00003v1

    • [q-bio.MN]Incorporating network based protein complex discovery into automated model construction
    Paul Scherer, Maja Trȩbacz, Nikola Simidjievski, Zohreh Shams, Helena Andres Terre, Pietro Liò, Mateja Jamnik
    http://arxiv.org/abs/2010.00387v1

    • [q-bio.NC]A biologically plausible neural network for multi-channel Canonical Correlation Analysis
    David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chkovskii
    http://arxiv.org/abs/2010.00525v1

    • [q-bio.PE]Comparisons of Pooling Matrices for Pooled Testing of COVID-19
    Yi-Jheng Lin, Che-Hao Yu, Tzu-Hsuan Liu, Cheng-Shang Chang, Wen-Tsuen Chen
    http://arxiv.org/abs/2010.00060v1

    • [q-bio.QM]Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
    Li Xiao, Biao Cai, Gang Qu, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
    http://arxiv.org/abs/2010.00116v1

    • [q-fin.GN]How Macroeconomists Lost Control of Stabilization Policy: Towards Dark Ages
    Jean Bernard Chatelain, Kirsten Ralf
    http://arxiv.org/abs/2010.00212v1

    • [quant-ph]Avoiding coherent errors with rotated concatenated stabilizer codes
    Yingkai Ouyang
    http://arxiv.org/abs/2010.00538v1

    • [quant-ph]Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
    Joonho Kim, Jaedeok Kim, Dario Rosa
    http://arxiv.org/abs/2010.00157v1

    • [stat.AP]Bayesian spatial modelling of terrestrial radiation in Switzerland
    Christophe L. Folly, Garyfallos Konstantinoudis, Antonella Mazzei-Abba, Christian Kreis, Benno Bucher, Reinhard Furrer, Ben D. Spycher
    http://arxiv.org/abs/2010.00534v1

    • [stat.AP]Model-based Bayesian inference of disease outbreak with invertible neural networks
    Stefan T. Radev, Frederik Graw, Simiao Chen, Nico Mutters, Vanessa Eichel, Till Bärnighausen, Ullrich Köthe
    http://arxiv.org/abs/2010.00300v1

    • [stat.ME]A note on the amount of information borrowed from external data in hybrid controlled trials with time-to-event outcomes
    Brian D. Segal, W. Katherine Tan
    http://arxiv.org/abs/2010.00433v1

    • [stat.ME]Analysis of the weighted kappa and its maximum with Markov moves
    Fabio Rapallo
    http://arxiv.org/abs/2010.00232v1

    • [stat.ME]Defining and Estimating Subgroup Mediation Effects with Semi-Competing Risks Data
    Fei Gao, Fan Xia, Kwun Chuen Gary Chan
    http://arxiv.org/abs/2010.00061v1

    • [stat.ME]Estimation in exponential family Regression based on linked data contaminated by mismatch error
    Zhenbang Wang, Emanuel Ben-David, Martin Slawski
    http://arxiv.org/abs/2010.00181v1

    • [stat.ME]Estimation of copulas via Maximum Mean Discrepancy
    Pierre Alquier, Badr-Eddine Chérief-Abdellatif, Alexis Derumigny, Jean-David Fermanian
    http://arxiv.org/abs/2010.00408v1

    • [stat.ME]Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
    Felix Laumann, Julius von Kügelgen, Mauricio Barahona
    http://arxiv.org/abs/2010.00271v1

    • [stat.ME]Neighbourhood Bootstrap for Respondent-Driven Sampling
    Mamadou Yauck, Erica E. M. Moodie
    http://arxiv.org/abs/2010.00165v1

    • [stat.ME]Non-parametric regression for networks
    Katie E. Severn, Ian L. Dryden, Simon P. Preston
    http://arxiv.org/abs/2010.00050v1

    • [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
    Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2009.14484v2

    • [stat.ME]Reducing Subspace Models for Large-Scale Covariance Regression
    Alexander Franks
    http://arxiv.org/abs/2010.00503v1

    • [stat.ML]A survey on natural language processing (nlp) and applications in insurance
    Antoine Ly, Benno Uthayasooriyar, Tingting Wang
    http://arxiv.org/abs/2010.00462v1

    • [stat.ML]Analysis of KNN Density Estimation
    Puning Zhao, Lifeng Lai
    http://arxiv.org/abs/2010.00438v1

    • [stat.ML]Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates
    Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry
    http://arxiv.org/abs/2010.00373v1