astro-ph.IM - 仪器仪表和天体物理学方法

    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.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.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.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.BM - 生物分子 q-bio.TO - 组织和器官 q-fin.CP -计算金融学 q-fin.RM - 风险管理 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Introducing MISS, a new tool for collision avoidance analysis and design
    • [cs.AI]Analogous Process Structure Induction for Sub-event Sequence Prediction
    • [cs.AI]Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning
    • [cs.AI]Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
    • [cs.AI]Improved Predictive Deep Temporal Neural Networks with Trend Filtering
    • [cs.AI]Monitoring Trust in Human-Machine Interactions for Public Sector Applications
    • [cs.AI]On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series
    • [cs.AI]PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
    • [cs.AI]Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
    • [cs.CL]Adaptive Feature Selection for End-to-End Speech Translation
    • [cs.CL]An efficient representation of chronological events in medical texts
    • [cs.CL]Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
    • [cs.CL]Coarse-to-Fine Pre-training for Named Entity Recognition
    • [cs.CL]Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation
    • [cs.CL]Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering
    • [cs.CL]Detecting ESG topics using domain-specific language models and data augmentation approaches
    • [cs.CL]Detecting Objectifying Language in Online Professor Reviews
    • [cs.CL]DiDi’s Machine Translation System for WMT2020
    • [cs.CL]From Talk to Action with Accountability: Monitoring the Public Discussion of Finnish Decision-Makers with Deep Neural Networks and Topic Modelling
    • [cs.CL]Generating Diverse Translation from Model Distribution with Dropout
    • [cs.CL]Inferring symmetry in natural language
    • [cs.CL]It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT
    • [cs.CL]Lexicon-constrained Copying Network for Chinese Abstractive Summarization
    • [cs.CL]MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
    • [cs.CL]Mischief: A Simple Black-Box Attack Against Transformer Architectures
    • [cs.CL]Montague Grammar Induction
    • [cs.CL]Multi-Adversarial Learning for Cross-Lingual Word Embeddings
    • [cs.CL]Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
    • [cs.CL]QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph
    • [cs.CL]RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
    • [cs.CL]SIGTYP 2020 Shared Task: Prediction of Typological Features
    • [cs.CL]Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation
    • [cs.CL]Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
    • [cs.CL]Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
    • [cs.CL]WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
    • [cs.CR]Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers
    • [cs.CR]Flexible, Decentralized Access Control for Smart Buildings with Smart Contracts
    • [cs.CR]Fundamental Properties of the Layer Below a Payment Channel Network (Extended Version)
    • [cs.CR]Input-Aware Dynamic Backdoor Attack
    • [cs.CR]Multi-Shard Private Transactions for Permissioned Blockchains
    • [cs.CR]PoSAT: Proof-of-Work Availability andUnpredictability, without the Work
    • [cs.CV]ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer’s Disease
    • [cs.CV]Anisotropic Stroke Control for Multiple Artists Style Transfer
    • [cs.CV]Automated Iterative Training of Convolutional Neural Networks for Tree Skeleton Segmentation
    • [cs.CV]Deep Learning based Automated Forest Health Diagnosis from Aerial Images
    • [cs.CV]Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN
    • [cs.CV]Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
    • [cs.CV]HPERL: 3D Human Pose Estimation from RGB and LiDAR
    • [cs.CV]How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
    • [cs.CV]Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation
    • [cs.CV]Human Segmentation with Dynamic LiDAR Data
    • [cs.CV]In Depth Bayesian Semantic Scene Completion
    • [cs.CV]Learning Monocular Dense Depth from Events
    • [cs.CV]New Ideas and Trends in Deep Multimodal Content Understanding: A Review
    • [cs.CV]On the surprising similarities between supervised and self-supervised models
    • [cs.CV]Physics-informed GANs for Coastal Flood Visualization
    • [cs.CV]Pose And Joint-Aware Action Recognition
    • [cs.CV]QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
    • [cs.CV]Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
    • [cs.CV]Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification
    • [cs.CV]Revisiting Optical Flow Estimation in 360 Videos
    • [cs.CV]SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
    • [cs.CV]Semantic Editing On Segmentation Map Via Multi-Expansion Loss
    • [cs.CV]TextMage: The Automated Bangla Caption Generator Based On Deep Learning
    • [cs.CV]Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
    • [cs.CV]Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
    • [cs.CV]Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification
    • [cs.CV]Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
    • [cs.CV]Volumetric Calculation of Quantization Error in 3-D Vision Systems
    • [cs.CV]What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions
    • [cs.CV]Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
    • [cs.DB]Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction
    • [cs.DC]Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale
    • [cs.DC]Study of Automatic Offloading Method in Mixed Offloading Destination Environment
    • [cs.DS]Restless reachability in temporal graphs
    • [cs.IR]Effective Distributed Representations for Academic Expert Search
    • [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
    • [cs.IT]HARQ in Full-Duplex Relay-Assisted Transmissions for URLLC
    • [cs.IT]Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region
    • [cs.IT]On the MMSE Estimation of Norm of a Gaussian Vector under Additive White Gaussian Noise with Randomly Missing Input Entries
    • [cs.IT]Polynomial Representations of High-Dimensional Observations of Random Processes
    • [cs.IT]Protograph-Based Low-Density Parity-Check Hadamard Codes
    • [cs.IT]Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
    • [cs.IT]The Capacity of Symmetric Private Information Retrieval under Arbitrary Collusion and Eavesdropping Patterns
    • [cs.LG]A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
    • [cs.LG]A New Open-Access Platform for Measuring and Sharing mTBI Data
    • [cs.LG]A Strong Baseline for Weekly Time Series Forecasting
    • [cs.LG]ALdataset: a benchmark for pool-based active learning
    • [cs.LG]An Approximation Algorithm for Optimal Subarchitecture Extraction
    • [cs.LG]Auxiliary Task Reweighting for Minimum-data Learning
    • [cs.LG]Consistent Feature Selection for Analytic Deep Neural Networks
    • [cs.LG]Decentralized Knowledge Graph Representation Learning
    • [cs.LG]Differentiable Divergences Between Time Series
    • [cs.LG]Emergent and Unspecified Behaviors in Streaming Decision Trees
    • [cs.LG]Fast Graph Kernel with Optical Random Features
    • [cs.LG]Few-shot model-based adaptation in noisy conditions
    • [cs.LG]Filtered Batch Normalization
    • [cs.LG]For self-supervised learning, Rationality implies generalization, provably
    • [cs.LG]Fundamental Linear Algebra Problem of Gaussian Inference
    • [cs.LG]G-DARTS-A: Groups of Channel Parallel Sampling with Attention
    • [cs.LG]How Does Supernet Help in Neural Architecture Search?
    • [cs.LG]Improved Communication Lower Bounds for Distributed Optimisation
    • [cs.LG]Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs
    • [cs.LG]Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
    • [cs.LG]Learnable Graph-regularization for Matrix Decomposition
    • [cs.LG]Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training
    • [cs.LG]Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models
    • [cs.LG]Multi-Agent Collaboration via Reward Attribution Decomposition
    • [cs.LG]Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
    • [cs.LG]Neural Ordinary Differential Equations for Intervention Modeling
    • [cs.LG]Non-saturating GAN training as divergence minimization
    • [cs.LG]On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy
    • [cs.LG]Online non-convex optimization with imperfect feedback
    • [cs.LG]Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
    • [cs.LG]Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification
    • [cs.LG]Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes
    • [cs.LG]Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
    • [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
    • [cs.LG]Projection-free Online Learning over Strongly Convex Sets
    • [cs.LG]Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning
    • [cs.LG]Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of Relative Losses
    • [cs.LG]The Deep Bootstrap: Good Online Learners are Good Offline Generalizers
    • [cs.LG]Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
    • [cs.LG]Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity
    • [cs.LG]Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
    • [cs.LG]Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
    • [cs.NE]What Makes the Game of Life Special?
    • [cs.RO]APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance
    • [cs.RO]Agile Robot Navigation through Hallucinated Learning and Sober Deployment
    • [cs.RO]An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
    • [cs.RO]Autonomous Person-Specific Following Robot
    • [cs.RO]Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection
    • [cs.RO]BALM: Bundle Adjustment for Lidar Mapping
    • [cs.RO]Bipedal Walking Control using Variable Horizon MPC
    • [cs.RO]Direct Policy Optimization using Deterministic Sampling and Collocation
    • [cs.RO]FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter
    • [cs.RO]Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics
    • [cs.RO]Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
    • [cs.RO]Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
    • [cs.RO]On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
    • [cs.RO]PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning — Lifelong
    • [cs.RO]Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems
    • [cs.RO]Piecewise-Linear Motion Planning amidst Static, Moving, or Morphing Obstacles
    • [cs.RO]Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study
    • [cs.RO]Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements
    • [cs.RO]RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
    • [cs.RO]RGB-D SLAM with Structural Regularities
    • [cs.RO]Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly
    • [cs.RO]Risk-Aware Decision Making in Service Robots to Minimize Risk of Patient Falls in Hospitals
    • [cs.RO]Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer
    • [cs.RO]SMAC: Symbiotic Multi-Agent Construction
    • [cs.RO]Uncertainty-aware Contact-safe Model-based Reinforcement Learning
    • [cs.SD]Latent Vector Recovery of Audio GANs
    • [cs.SD]Melody Classification based on Performance Event Vector and BRNN
    • [cs.SI]Axiomatic Characterization of PageRank
    • [cs.SI]Impersonation on Social Media: A Deep Neural Approach to Identify Ingenuine Content
    • [cs.SI]Measuring the Dynamic Impact of High-Speed Railways on Urban Interactions in China
    • [cs.SI]USelections 2020 analysis on Twitter and YouTube
    • [cs.SI]Who’s in the Gang? Revealing Coordinating Communities in Social Media
    • [econ.EM]Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice
    • [eess.IV]Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM
    • [eess.IV]Learning Accurate Entropy Model with Global Reference for Image Compression
    • [eess.IV]VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
    • [eess.SY]Stability and Robustness of the Disturbance Observer-based Motion Control Systems in Discrete-Time Domain
    • [hep-ph]Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks
    • [math.NA]Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces
    • [math.OC]Theta functions and optimal lattices for a grid cells model
    • [math.ST]Consistency of archetypal analysis
    • [math.ST]Geometry of Sample Spaces
    • [math.ST]Mean Shrinkage Estimation for High-Dimensional Diagonal Natural Exponential Families
    • [math.ST]Nonparametric iterated-logarithm extensions of the sequential generalized likelihood ratio test
    • [math.ST]Power of FDR Control Methods: The Impact of Ranking Algorithm, Tampered Design, and Symmetric Statistic
    • [math.ST]Quantile regression with ReLU Networks: Estimators and minimax rates
    • [math.ST]Reguralized Bridge-type estimation with multiple penalties
    • [q-bio.BM]SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
    • [q-bio.TO]Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion
    • [q-fin.CP]KrigHedge: GP Surrogates for Delta Hedging
    • [q-fin.RM]Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
    • [q-fin.ST]Measuring the Effect of Unconventional Policies on Stock Market Volatility
    • [stat.AP]Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA)
    • [stat.AP]Estimation of Discrete Choice Models: A Machine Learning Approach
    • [stat.AP]Learning Social Networks from Text Data using Covariate Information
    • [stat.ME]A multinomial truncated D-vine copula mixed model for the joint meta-analysis of multiple diagnostic tests
    • [stat.ME]Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
    • [stat.ME]Generalized Co-sparse Factor Regression
    • [stat.ME]Robust Estimation for Multivariate Wrapped Models
    • [stat.ML]Cascade of Phase Transitions for Multi-Scale Clustering
    • [stat.ML]Continuum-Armed Bandits: A Function Space Perspective
    • [stat.ML]Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
    • [stat.ML]Failures of model-dependent generalization bounds for least-norm interpolation
    • [stat.ML]Feature Selection for Huge Data via Minipatch Learning
    • [stat.ML]Joint Inference of Multiple Graphs from Matrix Polynomials
    • [stat.ML]Minimax Classification with 0-1 Loss and Performance Guarantees
    • [stat.ML]Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes
    • [stat.ML]The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks

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    • [astro-ph.IM]Introducing MISS, a new tool for collision avoidance analysis and design
    Juan Luis Gonzalo, Camilla Colombo, Pierluigi Di Lizia
    http://arxiv.org/abs/2010.08379v1

    • [cs.AI]Analogous Process Structure Induction for Sub-event Sequence Prediction
    Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth
    http://arxiv.org/abs/2010.08525v1

    • [cs.AI]Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning
    Xiaoying Pang, Sunil Thulasidasan, Larry Rybarcyk
    http://arxiv.org/abs/2010.08141v1

    • [cs.AI]Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
    Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu
    http://arxiv.org/abs/2010.08218v1

    • [cs.AI]Improved Predictive Deep Temporal Neural Networks with Trend Filtering
    Youngjin Park, Deokjun Eom, Byoungki Seo, Jaesik Choi
    http://arxiv.org/abs/2010.08234v1

    • [cs.AI]Monitoring Trust in Human-Machine Interactions for Public Sector Applications
    Farhana Faruqe, Ryan Watkins, Larry Medsker
    http://arxiv.org/abs/2010.08140v1

    • [cs.AI]On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series
    Gastón García González, Pedro Casas, Alicia Fernández, Gabriel Gómez
    http://arxiv.org/abs/2010.08286v1

    • [cs.AI]PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
    Guangneng Hu, Qiang Yang
    http://arxiv.org/abs/2010.08187v1

    • [cs.AI]Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
    Zuxin Liu, Hongyi Zhou, Sicheng Zhong, Martial Hebert, Ding Zhao
    http://arxiv.org/abs/2010.07968v1

    • [cs.CL]Adaptive Feature Selection for End-to-End Speech Translation
    Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
    http://arxiv.org/abs/2010.08518v1

    • [cs.CL]An efficient representation of chronological events in medical texts
    Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo Nevado-Holgado
    http://arxiv.org/abs/2010.08433v1

    • [cs.CL]Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
    Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych
    http://arxiv.org/abs/2010.08240v1

    • [cs.CL]Coarse-to-Fine Pre-training for Named Entity Recognition
    Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang
    http://arxiv.org/abs/2010.08210v1

    • [cs.CL]Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation
    Yanghoon Kim, Seungpil Won, Seunghyun Yoon, Kyomin Jung
    http://arxiv.org/abs/2010.08213v1

    • [cs.CL]Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering
    Wissam Siblini, Mohamed Challal, Charlotte Pasqual
    http://arxiv.org/abs/2010.08422v1

    • [cs.CL]Detecting ESG topics using domain-specific language models and data augmentation approaches
    Tim Nugent, Nicole Stelea, Jochen L. Leidner
    http://arxiv.org/abs/2010.08319v1

    • [cs.CL]Detecting Objectifying Language in Online Professor Reviews
    Angie Waller, Kyle Gorman
    http://arxiv.org/abs/2010.08540v1

    • [cs.CL]DiDi’s Machine Translation System for WMT2020
    Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
    http://arxiv.org/abs/2010.08185v1

    • [cs.CL]From Talk to Action with Accountability: Monitoring the Public Discussion of Finnish Decision-Makers with Deep Neural Networks and Topic Modelling
    Vili Hätönen, Fiona Melzer
    http://arxiv.org/abs/2010.08346v1

    • [cs.CL]Generating Diverse Translation from Model Distribution with Dropout
    Xuanfu Wu, Yang Feng, Chenze Shao
    http://arxiv.org/abs/2010.08178v1

    • [cs.CL]Inferring symmetry in natural language
    Chelsea Tanchip, Lei Yu, Aotao Xu, Yang Xu
    http://arxiv.org/abs/2010.08090v1

    • [cs.CL]It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT
    Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg
    http://arxiv.org/abs/2010.08275v1

    • [cs.CL]Lexicon-constrained Copying Network for Chinese Abstractive Summarization
    Boyan Wan, Zhuo Tang, Li Yang
    http://arxiv.org/abs/2010.08197v1

    • [cs.CL]MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
    Aman Khullar, Udit Arora
    http://arxiv.org/abs/2010.08021v1

    • [cs.CL]Mischief: A Simple Black-Box Attack Against Transformer Architectures
    Adrian de Wynter
    http://arxiv.org/abs/2010.08542v1

    • [cs.CL]Montague Grammar Induction
    Gene Louis Kim, Aaron Steven White
    http://arxiv.org/abs/2010.08067v1

    • [cs.CL]Multi-Adversarial Learning for Cross-Lingual Word Embeddings
    Haozhou Wang, James Henderson, Paola Merlo
    http://arxiv.org/abs/2010.08432v1

    • [cs.CL]Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
    Andrew Moore, Jeremy Barnes
    http://arxiv.org/abs/2010.08318v1

    • [cs.CL]QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph
    Saeedeh Shekarpour, Abhishek Nadgeri, Kuldeep Singh
    http://arxiv.org/abs/2010.08323v1

    • [cs.CL]RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
    Yingqi Qu Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/2010.08191v1

    • [cs.CL]SIGTYP 2020 Shared Task: Prediction of Typological Features
    Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo M. Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein
    http://arxiv.org/abs/2010.08246v1

    • [cs.CL]Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation
    Qiang Wang, Tong Xiao, Jingbo Zhu
    http://arxiv.org/abs/2010.08265v1

    • [cs.CL]Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
    Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou
    http://arxiv.org/abs/2010.08242v1

    • [cs.CL]Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
    Wanyun Cui, Guangyu Zheng, Wei Wang
    http://arxiv.org/abs/2010.08200v1

    • [cs.CL]WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
    Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, Mai Hoang Dao, Linh The Nguyen, Long Doan
    http://arxiv.org/abs/2010.08232v1

    • [cs.CR]Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers
    Wei Huang, Xingyu Zhao, Xiaowei Huang
    http://arxiv.org/abs/2010.08281v1

    • [cs.CR]Flexible, Decentralized Access Control for Smart Buildings with Smart Contracts
    Leepakshi Bindra, Kalvin Eng, Omid Ardakanian, Eleni Stroulia
    http://arxiv.org/abs/2010.08176v1

    • [cs.CR]Fundamental Properties of the Layer Below a Payment Channel Network (Extended Version)
    Matthias Grundmann, Hannes Hartenstein
    http://arxiv.org/abs/2010.08316v1

    • [cs.CR]Input-Aware Dynamic Backdoor Attack
    Anh Nguyen, Anh Tran
    http://arxiv.org/abs/2010.08138v1

    • [cs.CR]Multi-Shard Private Transactions for Permissioned Blockchains
    Elli Androulaki, Angelo De Caro, Kaoutar Elkhiyaoui, Christian Gorenflo, Alessandro Sorniotti, Marko Vukolic
    http://arxiv.org/abs/2010.08274v1

    • [cs.CR]PoSAT: Proof-of-Work Availability andUnpredictability, without the Work
    Soubhik Deb, Sreeram Kannan, David Tse
    http://arxiv.org/abs/2010.08154v1

    • [cs.CV]ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer’s Disease
    Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
    http://arxiv.org/abs/2010.08190v1

    • [cs.CV]Anisotropic Stroke Control for Multiple Artists Style Transfer
    Xuanhong Chen, Xirui Yan, Naiyuan Liu, Ting Qiu, Bingbing Ni
    http://arxiv.org/abs/2010.08175v1

    • [cs.CV]Automated Iterative Training of Convolutional Neural Networks for Tree Skeleton Segmentation
    Keenan Granland, Rhys Newbury, David Ting, Chao Chen
    http://arxiv.org/abs/2010.08296v1

    • [cs.CV]Deep Learning based Automated Forest Health Diagnosis from Aerial Images
    Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang
    http://arxiv.org/abs/2010.08437v1

    • [cs.CV]Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN
    Xiao Liu, Jiajie Zhang, Siting Li, Zuotong Wu, Yang Yu
    http://arxiv.org/abs/2010.08402v1

    • [cs.CV]Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
    Keshav Bhandari, Mario A. DeLaGarza, Ziliang Zong, Hugo Latapie, Yan Yan
    http://arxiv.org/abs/2010.08055v1

    • [cs.CV]HPERL: 3D Human Pose Estimation from RGB and LiDAR
    Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
    http://arxiv.org/abs/2010.08221v1

    • [cs.CV]How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
    Saleh Shahinfar, Paul Meek, Greg Falzon
    http://arxiv.org/abs/2010.08186v1

    • [cs.CV]Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation
    Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang
    http://arxiv.org/abs/2010.08209v1

    • [cs.CV]Human Segmentation with Dynamic LiDAR Data
    Tao Zhong, Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi
    http://arxiv.org/abs/2010.08092v1

    • [cs.CV]In Depth Bayesian Semantic Scene Completion
    David Gillsjö, Kalle Åström
    http://arxiv.org/abs/2010.08310v1

    • [cs.CV]Learning Monocular Dense Depth from Events
    Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
    http://arxiv.org/abs/2010.08350v1

    • [cs.CV]New Ideas and Trends in Deep Multimodal Content Understanding: A Review
    Wei Chen, Weiping Wang, Li Liu, Michael S. Lew
    http://arxiv.org/abs/2010.08189v1

    • [cs.CV]On the surprising similarities between supervised and self-supervised models
    Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
    http://arxiv.org/abs/2010.08377v1

    • [cs.CV]Physics-informed GANs for Coastal Flood Visualization
    Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz-Rodriguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi
    http://arxiv.org/abs/2010.08103v1

    • [cs.CV]Pose And Joint-Aware Action Recognition
    Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava
    http://arxiv.org/abs/2010.08164v1

    • [cs.CV]QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
    L. Parisi, D. Neagu, R. Ma, F. Campean
    http://arxiv.org/abs/2010.08031v1

    • [cs.CV]Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
    Cian Ryan, Brian O Sullivan, Amr Elrasad, Joe Lemley, Paul Kielty, Christoph Posch, Etienne Perot
    http://arxiv.org/abs/2010.08278v1

    • [cs.CV]Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification
    Cuican Yu, Zihui Zhang, Huibin Li
    http://arxiv.org/abs/2010.08391v1

    • [cs.CV]Revisiting Optical Flow Estimation in 360 Videos
    Keshav Bhandari, Ziliang Zong, Yan Yan
    http://arxiv.org/abs/2010.08045v1

    • [cs.CV]SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
    Cristiano Saltori, Stéphane Lathuiliére, Nicu Sebe, Elisa Ricci, Fabio Galasso
    http://arxiv.org/abs/2010.08243v1

    • [cs.CV]Semantic Editing On Segmentation Map Via Multi-Expansion Loss
    Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
    http://arxiv.org/abs/2010.08128v1

    • [cs.CV]TextMage: The Automated Bangla Caption Generator Based On Deep Learning
    Abrar Hasin Kamal, Md. Asifuzzaman Jishan, Nafees Mansoor
    http://arxiv.org/abs/2010.08066v1

    • [cs.CV]Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
    Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yunpeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan
    http://arxiv.org/abs/2010.08365v1

    • [cs.CV]Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
    Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian Foster
    http://arxiv.org/abs/2010.08486v1

    • [cs.CV]Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification
    Biao Zhang, Peter Wonka
    http://arxiv.org/abs/2010.08276v1

    • [cs.CV]Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
    Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
    http://arxiv.org/abs/2010.08188v1

    • [cs.CV]Volumetric Calculation of Quantization Error in 3-D Vision Systems
    Eleni Bohacek, Andrew J. Coates, David R. Selviah
    http://arxiv.org/abs/2010.08390v1

    • [cs.CV]What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions
    Kiana Ehsani, Daniel Gordon, Thomas Nguyen, Roozbeh Mottaghi, Ali Farhadi
    http://arxiv.org/abs/2010.08539v1

    • [cs.CV]Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
    Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang
    http://arxiv.org/abs/2010.08038v1

    • [cs.DB]Discovering Hierarchical Processes Using Flexible Activity Trees for Event Abstraction
    Xixi Lu, Avigdor Gal, Hajo A. Reijers
    http://arxiv.org/abs/2010.08302v1

    • [cs.DC]Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale
    Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad
    http://arxiv.org/abs/2010.08526v1

    • [cs.DC]Study of Automatic Offloading Method in Mixed Offloading Destination Environment
    Yoji Yamato
    http://arxiv.org/abs/2010.08009v1

    • [cs.DS]Restless reachability in temporal graphs
    Suhas Thejaswi, Aristides Gionis
    http://arxiv.org/abs/2010.08423v1

    • [cs.IR]Effective Distributed Representations for Academic Expert Search
    Mark Berger, Jakub Zavrel, Paul Groth
    http://arxiv.org/abs/2010.08269v1

    • [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
    Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cédric Adjih
    http://arxiv.org/abs/2010.07430v2

    • [cs.IT]HARQ in Full-Duplex Relay-Assisted Transmissions for URLLC
    Fatima Ezzahra Airod, Houda Chafnaji, Halim Yanikomeroglu
    http://arxiv.org/abs/2010.08455v1

    • [cs.IT]Minimum-Delay Routing for Integrated Aeronautical Ad Hoc Networks Relying on Passenger-Planes in the North-Atlantic Region
    Jingjing Cui, Dong Liu, Jiankang Zhang, Halil Yetgin, Soon Xin Ng, Lajos Hanzo
    http://arxiv.org/abs/2010.08315v1

    • [cs.IT]On the MMSE Estimation of Norm of a Gaussian Vector under Additive White Gaussian Noise with Randomly Missing Input Entries
    Samrat Mukhopadhyay
    http://arxiv.org/abs/2010.08299v1

    • [cs.IT]Polynomial Representations of High-Dimensional Observations of Random Processes
    Pavel Loskot
    http://arxiv.org/abs/2010.07991v1

    • [cs.IT]Protograph-Based Low-Density Parity-Check Hadamard Codes
    Peng W. Zhang, Francis C. M. Lau, Chiu-W. Sham
    http://arxiv.org/abs/2010.08285v1

    • [cs.IT]Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
    Ali Bereyhi, Saba Asaad, Ralf R. Müller, Rafael F. Schaefer, H. Vincent Poor
    http://arxiv.org/abs/2010.07989v1

    • [cs.IT]The Capacity of Symmetric Private Information Retrieval under Arbitrary Collusion and Eavesdropping Patterns
    Jiale Cheng, Nan Liu, Wei Kang
    http://arxiv.org/abs/2010.08249v1

    • [cs.LG]A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
    Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, Solomon Hsiang
    http://arxiv.org/abs/2010.08168v1

    • [cs.LG]A New Open-Access Platform for Measuring and Sharing mTBI Data
    August G. Domel, Samuel J. Raymond, Chiara Giordano, Yuzhe Liu, Seyed Abdolmajid Yousefsani, Michael Fanton, Ileana Pirozzi, Ali Kight, Brett Avery, Athanasia Boumis, Tyler Fetters, Simran Jandu, William M Mehring, Sam Monga, Nicole Mouchawar, India Rangel, Eli Rice, Pritha Roy, Sohrab Sami, Heer Singh, Lyndia Wu, Calvin Kuo, Michael Zeineh, Gerald Grant, David B. Camarillo
    http://arxiv.org/abs/2010.08485v1

    • [cs.LG]A Strong Baseline for Weekly Time Series Forecasting
    Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
    http://arxiv.org/abs/2010.08158v1

    • [cs.LG]ALdataset: a benchmark for pool-based active learning
    Xueying Zhan, Antoni Bert Chan
    http://arxiv.org/abs/2010.08161v1

    • [cs.LG]An Approximation Algorithm for Optimal Subarchitecture Extraction
    Adrian de Wynter
    http://arxiv.org/abs/2010.08512v1

    • [cs.LG]Auxiliary Task Reweighting for Minimum-data Learning
    Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
    http://arxiv.org/abs/2010.08244v1

    • [cs.LG]Consistent Feature Selection for Analytic Deep Neural Networks
    Vu Dinh, Lam Si Tung Ho
    http://arxiv.org/abs/2010.08097v1

    • [cs.LG]Decentralized Knowledge Graph Representation Learning
    Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu
    http://arxiv.org/abs/2010.08114v1

    • [cs.LG]Differentiable Divergences Between Time Series
    Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert
    http://arxiv.org/abs/2010.08354v1

    • [cs.LG]Emergent and Unspecified Behaviors in Streaming Decision Trees
    Chaitanya Manapragada, Geoffrey I Webb, Mahsa Salehi, Albert Bifet
    http://arxiv.org/abs/2010.08199v1

    • [cs.LG]Fast Graph Kernel with Optical Random Features
    Hashem Ghanem, Nicolas Keriven, Nicolas Tremblay
    http://arxiv.org/abs/2010.08270v1

    • [cs.LG]Few-shot model-based adaptation in noisy conditions
    Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki
    http://arxiv.org/abs/2010.08397v1

    • [cs.LG]Filtered Batch Normalization
    Andras Horvath, Jalal Al-afandi
    http://arxiv.org/abs/2010.08251v1

    • [cs.LG]For self-supervised learning, Rationality implies generalization, provably
    Yamini Bansal, Gal Kaplun, Boaz Barak
    http://arxiv.org/abs/2010.08508v1

    • [cs.LG]Fundamental Linear Algebra Problem of Gaussian Inference
    Timothy D Barfoot
    http://arxiv.org/abs/2010.08022v1

    • [cs.LG]G-DARTS-A: Groups of Channel Parallel Sampling with Attention
    Zhaowen Wang, Wei Zhang, Zhiming Wang
    http://arxiv.org/abs/2010.08360v1

    • [cs.LG]How Does Supernet Help in Neural Architecture Search?
    Yuge Zhang, Quanlu Zhang, Yaming Yang
    http://arxiv.org/abs/2010.08219v1

    • [cs.LG]Improved Communication Lower Bounds for Distributed Optimisation
    Dan Alistarh, Janne H. Korhonen
    http://arxiv.org/abs/2010.08222v1

    • [cs.LG]Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs
    Zhoujian Sun, Wei Dong, Jinlong Shi, Zhengxing Huang
    http://arxiv.org/abs/2010.08300v1

    • [cs.LG]Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
    Kishan KC, Feng Cui, Anne Haake, Rui Li
    http://arxiv.org/abs/2010.08514v1

    • [cs.LG]Learnable Graph-regularization for Matrix Decomposition
    Penglong Zhai, Shihua Zhang
    http://arxiv.org/abs/2010.08513v1

    • [cs.LG]Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training
    Goran Zuzic, Di Wang, Aranyak Mehta, D. Sivakumar
    http://arxiv.org/abs/2010.08418v1

    • [cs.LG]Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models
    Jayaraman J. Thiagarajan, Peer-Timo Bremer, Rushil Anirudh, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
    http://arxiv.org/abs/2010.08478v1

    • [cs.LG]Multi-Agent Collaboration via Reward Attribution Decomposition
    Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
    http://arxiv.org/abs/2010.08531v1

    • [cs.LG]Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
    Alex Lamb, Anirudh Goyal, Agnieszka Słowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio
    http://arxiv.org/abs/2010.08012v1

    • [cs.LG]Neural Ordinary Differential Equations for Intervention Modeling
    Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi
    http://arxiv.org/abs/2010.08304v1

    • [cs.LG]Non-saturating GAN training as divergence minimization
    Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, RJ Skerry-Ryan
    http://arxiv.org/abs/2010.08029v1

    • [cs.LG]On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy
    Cedric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang
    http://arxiv.org/abs/2010.08410v1

    • [cs.LG]Online non-convex optimization with imperfect feedback
    Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
    http://arxiv.org/abs/2010.08496v1

    • [cs.LG]Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
    Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang
    http://arxiv.org/abs/2010.08034v1

    • [cs.LG]Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification
    W. H. Huang
    http://arxiv.org/abs/2010.08087v1

    • [cs.LG]Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes
    Santiago Paternain, Juan Andres Bazerque, Alejandro Ribeiro
    http://arxiv.org/abs/2010.08443v1

    • [cs.LG]Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
    Kishan KC, Rui Li, Feng Cui, Anne Haake
    http://arxiv.org/abs/2010.08516v1

    • [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
    Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
    http://arxiv.org/abs/2010.07904v2

    • [cs.LG]Projection-free Online Learning over Strongly Convex Sets
    Yuanyu Wan, Lijun Zhang
    http://arxiv.org/abs/2010.08177v1

    • [cs.LG]Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning
    Kaiyi Ji, Junjie Yang, Yingbin Liang
    http://arxiv.org/abs/2010.07962v1

    • [cs.LG]Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of Relative Losses
    Xuedong Shang, Han Shao, Jian Qian
    http://arxiv.org/abs/2010.08061v1

    • [cs.LG]The Deep Bootstrap: Good Online Learners are Good Offline Generalizers
    Preetum Nakkiran, Behnam Neyshabur, Hanie Sedghi
    http://arxiv.org/abs/2010.08127v1

    • [cs.LG]Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
    Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
    http://arxiv.org/abs/2010.08532v1

    • [cs.LG]Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity
    Bernd Illing, Wulfram Gerstner, Guillaume Bellec
    http://arxiv.org/abs/2010.08262v1

    • [cs.LG]Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
    Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
    http://arxiv.org/abs/2010.08258v1

    • [cs.LG]Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
    Zhiyuan Li, Yi Zhang, Sanjeev Arora
    http://arxiv.org/abs/2010.08515v1

    • [cs.NE]What Makes the Game of Life Special?
    Peter D. Turney
    http://arxiv.org/abs/2010.08431v1

    • [cs.RO]APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance
    Shakeeb Ahmad, Zachary N. Sunberg, J. Sean Humbert
    http://arxiv.org/abs/2010.08063v1

    • [cs.RO]Agile Robot Navigation through Hallucinated Learning and Sober Deployment
    Xuesu Xiao, Bo Liu, Peter Stone
    http://arxiv.org/abs/2010.08098v1

    • [cs.RO]An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
    Siyu Dai, Wei Xu, Andreas Hofmann, Brian Williams
    http://arxiv.org/abs/2010.07986v1

    • [cs.RO]Autonomous Person-Specific Following Robot
    Wesley P. Chan, Sina Radmard, Zhao Quan Hew, Jon Morris, Elizabeth Croft, H. F. Machiel Van der Loos
    http://arxiv.org/abs/2010.08017v1

    • [cs.RO]Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection
    Florian Richter, Shihao Shen, Fei Liu, Jingbin Huang, Emily K. Funk, Ryan K. Orosco, Michael C. Yip
    http://arxiv.org/abs/2010.08441v1

    • [cs.RO]BALM: Bundle Adjustment for Lidar Mapping
    Zheng Liu, Fu Zhang
    http://arxiv.org/abs/2010.08215v1

    • [cs.RO]Bipedal Walking Control using Variable Horizon MPC
    Elham Daneshmand, Majid Khadiv, Felix Grimminger, Ludovi
    855
    c Righetti
    http://arxiv.org/abs/2010.08198v1

    • [cs.RO]Direct Policy Optimization using Deterministic Sampling and Collocation
    Taylor A. Howell, Chunjiang Fu, Zachary Manchester
    http://arxiv.org/abs/2010.08506v1

    • [cs.RO]FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter
    Wei Xu, Fu Zhang
    http://arxiv.org/abs/2010.08196v1

    • [cs.RO]Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics
    Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang
    http://arxiv.org/abs/2010.08311v1

    • [cs.RO]Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
    Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
    http://arxiv.org/abs/2010.08252v1

    • [cs.RO]Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
    Xiaotong Chen, Kaizhi Zheng, Zhen Zeng, Shreshtha Basu, James Cooney, Jana Pavlasek, Odest Chadwicke Jenkins
    http://arxiv.org/abs/2010.08202v1

    • [cs.RO]On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
    Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
    http://arxiv.org/abs/2010.08353v1

    • [cs.RO]PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning — Lifelong
    Mehul Damani, Zhiyao Luo, Emerson Wenzel, Guillaume Sartoretti
    http://arxiv.org/abs/2010.08184v1

    • [cs.RO]Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems
    Boyi Liu, Lujia Wang, Xinquan Chen, Lexiong Huang, Cheng-Zhong Xu
    http://arxiv.org/abs/2010.08303v1

    • [cs.RO]Piecewise-Linear Motion Planning amidst Static, Moving, or Morphing Obstacles
    Bachir El Khadir, Jean Bernard Lasserre, Vikas Sindhwani
    http://arxiv.org/abs/2010.08167v1

    • [cs.RO]Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study
    Ilias Aouaj, Vincent Padois, Alessandro Saccon
    http://arxiv.org/abs/2010.08220v1

    • [cs.RO]Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements
    Tran Nguyen Le, Francesco Verdoja, Fares J. Abu-Dakka, Ville Kyrki
    http://arxiv.org/abs/2010.08277v1

    • [cs.RO]RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
    Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager
    http://arxiv.org/abs/2010.08174v1

    • [cs.RO]RGB-D SLAM with Structural Regularities
    Yanyan Li, Raza Yunus, Nikolas Brasch, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2010.07997v1

    • [cs.RO]Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly
    Jieliang Luo, Hui Li
    http://arxiv.org/abs/2010.08052v1

    • [cs.RO]Risk-Aware Decision Making in Service Robots to Minimize Risk of Patient Falls in Hospitals
    Roya Sabbagh Novin, Amir Yazdani, Andrew Merryweather, Tucker Hermans
    http://arxiv.org/abs/2010.08124v1

    • [cs.RO]Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer
    Jingpei Lu, Florian Richter, Michael Yip
    http://arxiv.org/abs/2010.08054v1

    • [cs.RO]SMAC: Symbiotic Multi-Agent Construction
    Caleb Wagner, Neel Dhanaraj, Trevor Rizzo, Josue Contreras, Hannan Liang, Gregory Lewin, Carlo Pinciroli
    http://arxiv.org/abs/2010.08473v1

    • [cs.RO]Uncertainty-aware Contact-safe Model-based Reinforcement Learning
    Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
    http://arxiv.org/abs/2010.08169v1

    • [cs.SD]Latent Vector Recovery of Audio GANs
    Andrew Keyes, Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh
    http://arxiv.org/abs/2010.08534v1

    • [cs.SD]Melody Classification based on Performance Event Vector and BRNN
    Jinyue Guo, Aozhi Liu, Jing Xiao
    http://arxiv.org/abs/2010.07562v2

    • [cs.SI]Axiomatic Characterization of PageRank
    Tomasz Wąs, Oskar Skibski
    http://arxiv.org/abs/2010.08487v1

    • [cs.SI]Impersonation on Social Media: A Deep Neural Approach to Identify Ingenuine Content
    Koosha Zarei, Reza Farahbakhsh, Noel Crespi, Gareth Tyson
    http://arxiv.org/abs/2010.08438v1

    • [cs.SI]Measuring the Dynamic Impact of High-Speed Railways on Urban Interactions in China
    Junfang Gong, Shengwen Li, Xinyue Ye, Qiong Peng
    http://arxiv.org/abs/2010.08182v1

    • [cs.SI]USelections 2020 analysis on Twitter and YouTube
    Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki, Polyvios Pratikakis, Sotiris Ioannidis
    http://arxiv.org/abs/2010.08183v1

    • [cs.SI]Who’s in the Gang? Revealing Coordinating Communities in Social Media
    Derek Weber, Frank Neumann
    http://arxiv.org/abs/2010.08180v1

    • [econ.EM]Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice
    Andrii Babii, Xi Chen, Eric Ghysels, Rohit Kumar
    http://arxiv.org/abs/2010.08463v1

    • [eess.IV]Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM
    Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
    http://arxiv.org/abs/2010.08115v1

    • [eess.IV]Learning Accurate Entropy Model with Global Reference for Image Compression
    Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin
    http://arxiv.org/abs/2010.08321v1

    • [eess.IV]VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
    Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen
    http://arxiv.org/abs/2010.08357v1

    • [eess.SY]Stability and Robustness of the Disturbance Observer-based Motion Control Systems in Discrete-Time Domain
    Emre Sariyildiz, Satoshi Hangai, Tarik Uzunovic, Takahiro Nozaki, Kouhei Ohnishi
    http://arxiv.org/abs/2010.08075v1

    • [hep-ph]Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks
    Muhammad Abbas, Asifullah Khan, Aqsa Saeed Qureshi, Muhammad Waleed Khan
    http://arxiv.org/abs/2010.08201v1

    • [math.NA]Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces
    Francesco Romor, Marco Tezzele, Gianluigi Rozza
    http://arxiv.org/abs/2010.08349v1

    • [math.OC]Theta functions and optimal lattices for a grid cells model
    Laurent Bétermin
    http://arxiv.org/abs/2010.08264v1

    • [math.ST]Consistency of archetypal analysis
    Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso
    http://arxiv.org/abs/2010.08148v1

    • [math.ST]Geometry of Sample Spaces
    Philipp Harms, Peter W. Michor, Xavier Pennec, Stefan Sommer
    http://arxiv.org/abs/2010.08039v1

    • [math.ST]Mean Shrinkage Estimation for High-Dimensional Diagonal Natural Exponential Families
    Nikolas Siapoutis, Donald Richards, Bharath K. Sriperumbudur
    http://arxiv.org/abs/2010.08071v1

    • [math.ST]Nonparametric iterated-logarithm extensions of the sequential generalized likelihood ratio test
    Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
    http://arxiv.org/abs/2010.08082v1

    • [math.ST]Power of FDR Control Methods: The Impact of Ranking Algorithm, Tampered Design, and Symmetric Statistic
    Zheng Tracy Ke, Jun S. Liu, Yucong Ma
    http://arxiv.org/abs/2010.08132v1

    • [math.ST]Quantile regression with ReLU Networks: Estimators and minimax rates
    Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen
    http://arxiv.org/abs/2010.08236v1

    • [math.ST]Reguralized Bridge-type estimation with multiple penalties
    Alessandro De Gregorio, Francesco Iafrate
    http://arxiv.org/abs/2010.08384v1

    • [q-bio.BM]SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
    Jonathan E. King, David Ryan Koes
    http://arxiv.org/abs/2010.08162v1

    • [q-bio.TO]Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion
    Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein V. Alizadeh, August G. Domel, Olivier Gevaert, Michael Zeineh, Gerald Grant, David B. Camarillo
    http://arxiv.org/abs/2010.08527v1

    • [q-fin.CP]KrigHedge: GP Surrogates for Delta Hedging
    Mike Ludkovski, Yuri Saporito
    http://arxiv.org/abs/2010.08407v1

    • [q-fin.RM]Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
    Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu
    http://arxiv.org/abs/2010.08263v1

    • [q-fin.ST]Measuring the Effect of Unconventional Policies on Stock Market Volatility
    Demetrio Lacava, Giampiero M. Gallo, Edoardo Otranto
    http://arxiv.org/abs/2010.08259v1

    • [stat.AP]Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA)
    Klaus Ackermann, Simon D. Angus, Paul A. Raschky
    http://arxiv.org/abs/2010.08102v1

    • [stat.AP]Estimation of Discrete Choice Models: A Machine Learning Approach
    Nick Doudchenko, Evgeni Drynkin
    http://arxiv.org/abs/2010.08016v1

    • [stat.AP]Learning Social Networks from Text Data using Covariate Information
    Xiaoyi Yang, Nynke M. D. Niezink, Rebecca Nugent
    http://arxiv.org/abs/2010.08076v1

    • [stat.ME]A multinomial truncated D-vine copula mixed model for the joint meta-analysis of multiple diagnostic tests
    Aristidis K. Nikoloulopoulos
    http://arxiv.org/abs/2010.08152v1

    • [stat.ME]Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
    Fan Yin, Guanyu Hu, Weining Shen
    http://arxiv.org/abs/2010.08495v1

    • [stat.ME]Generalized Co-sparse Factor Regression
    Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen
    http://arxiv.org/abs/2010.08134v1

    • [stat.ME]Robust Estimation for Multivariate Wrapped Models
    Giovanni Saraceno, Claudio Agostinelli, Luca Greco
    http://arxiv.org/abs/2010.08444v1

    • [stat.ML]Cascade of Phase Transitions for Multi-Scale Clustering
    T. Bonnaire, A. Decelle, N. Aghanim
    http://arxiv.org/abs/2010.07955v1

    • [stat.ML]Continuum-Armed Bandits: A Function Space Perspective
    Shashank Singh
    http://arxiv.org/abs/2010.08007v1

    • [stat.ML]Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
    Ziping Xu, Amir Meisami, Ambuj Tewari
    http://arxiv.org/abs/2010.08048v1

    • [stat.ML]Failures of model-dependent generalization bounds for least-norm interpolation
    Peter L. Bartlett, Philip M. Long
    http://arxiv.org/abs/2010.08479v1

    • [stat.ML]Feature Selection for Huge Data via Minipatch Learning
    Tianyi Yao, Genevera I. Allen
    http://arxiv.org/abs/2010.08529v1

    • [stat.ML]Joint Inference of Multiple Graphs from Matrix Polynomials
    Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
    http://arxiv.org/abs/2010.08120v1

    • [stat.ML]Minimax Classification with 0-1 Loss and Performance Guarantees
    Santiago Mazuelas, Andrea Zanoni, Aritz Perez
    http://arxiv.org/abs/2010.07964v1

    • [stat.ML]Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes
    Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick
    http://arxiv.org/abs/2010.08376v1

    • [stat.ML]The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
    Takuo Matsubara, Chris J. Oates, François-Xavier Briol
    http://arxiv.org/abs/2010.08488v1