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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DM - 离散数学 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.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 econ.GN - 一般经济学 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.CO - 组合数学 math.MG -公制几何 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Continual Learning with Deep Artificial Neurons
    • [cs.AI]DeepMind Lab2D
    • [cs.AI]Domain-Level Explainability — A Challenge for Creating Trust in Superhuman AI Strategies
    • [cs.CL]A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
    • [cs.CL]Arabic Dialect Identification Using BERT-Based Domain Adaptation
    • [cs.CL]Context-aware Stand-alone Neural Spelling Correction
    • [cs.CL]Cross-Domain Learning forClassifying Propaganda in Online Contents
    • [cs.CL]EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints
    • [cs.CL]FLERT: Document-Level Features for Named Entity Recognition
    • [cs.CL]Interpretable Multi-dataset Evaluation for Named Entity Recognition
    • [cs.CL]Learning language variations in news corpora through differential embeddings
    • [cs.CL]Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning
    • [cs.CL]RethinkCWS: Is Chinese Word Segmentation a Solved Task?
    • [cs.CL]Unsupervised Explanation Generation for Machine Reading Comprehension
    • [cs.CL]diagNNose: A Library for Neural Activation Analysis
    • [cs.CL]doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
    • [cs.CR]Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
    • [cs.CV]A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
    • [cs.CV]Adaptive Future Frame Prediction with Ensemble Network
    • [cs.CV]Adversarial Robustness Against Image Color Transf
    a10
    ormation within Parametric Filter Space
    • [cs.CV]Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints
    • [cs.CV]Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification
    • [cs.CV]Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
    • [cs.CV]Empirical Performance Analysis of Conventional Deep Learning Models for Recognition of Objects in 2-D Images
    • [cs.CV]Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
    • [cs.CV]Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks
    • [cs.CV]Image Animation with Perturbed Masks
    • [cs.CV]LULC classification by semantic segmentation of satellite images using FastFCN
    • [cs.CV]Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
    • [cs.CV]Local Anomaly Detection in Videos using Object-Centric Adversarial Learning
    • [cs.CV]Multi-layered tensor networks for image classification
    • [cs.CV]NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
    • [cs.CV]SHAD3S: : A model to Sketch, Shade and Shadow
    • [cs.CV]Structured Attention Graphs for Understanding Deep Image Classifications
    • [cs.CV]Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
    • [cs.CV]Transductive Zero-Shot Learning using Cross-Modal CycleGAN
    • [cs.CV]Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
    • [cs.CV]Using Graph Neural Networks to Reconstruct Ancient Documents
    • [cs.DC]An Exploratory Analysis on Users’ Contributions in Federated Learning
    • [cs.DC]Elastic Composition of Crowdsourced IoT Energy Services
    • [cs.DC]Fibers are not (P)Threads: The Case for Loose Coupling of Asynchronous Programming Models and MPI Through Continuations
    • [cs.DC]Schedulability Bounds for Parallel Real-Time Tasks under Global Rate-Monotonic Scheduling
    • [cs.DL]Similarity network fusion for scholarly journals
    • [cs.DM]Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
    • [cs.HC]Understanding College Students’ Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution
    • [cs.IR]Heterogeneous Graph Collaborative Filtering
    • [cs.IR]Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
    • [cs.IT]Algebraic Quantum Codes: Linking Quantum Mechanics and Discrete Mathematics
    • [cs.IT]Bounds for the multilevel construction
    • [cs.IT]Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
    • [cs.IT]Performance Analysis of Cell-free and User-Centric MIMO Networks with Optical Fronthaul and Backhaul Links
    • [cs.IT]Physical Layer Security in a SISO Communication using Frequency-Domain Time-Reversal OFDM Precoding and Artificial Noise Injection
    • [cs.LG]A Homotopy Coordinate Descent Optimization Method for $l_0$-Norm Regularized Least Square Problem
    • [cs.LG]A Reweighted Meta Learning Framework for Robust Few Shot Learning
    • [cs.LG]Active Reinforcement Learning: Observing Rewards at a Cost
    • [cs.LG]Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning
    • [cs.LG]Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
    • [cs.LG]Dependency-based Anomaly Detection: Framework, Methods and Benchmark
    • [cs.LG]Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
    • [cs.LG]Diffusion models for Handwriting Generation
    • [cs.LG]Efficient Subspace Search in Data Streams
    • [cs.LG]End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models
    • [cs.LG]Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    • [cs.LG]Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
    • [cs.LG]Hybrid Federated and Centralized Learning
    • [cs.LG]Image analysis for Alzheimer’s disease prediction: Embracing pathological hallmarks for model architecture design
    • [cs.LG]LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
    • [cs.LG]Learning to Drop: Robust Graph Neural Network via Topological Denoising
    • [cs.LG]Low-activity supervised convolutional spiking neural networks applied to speech commands recognition
    • [cs.LG]Non-stationary Online Regression
    • [cs.LG]Population synthesis for urban resident modeling using deep generative models
    • [cs.LG]ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
    • [cs.LG]Rebounding Bandits for Modeling Satiation Effects
    • [cs.LG]SALAD: Self-Assessment Learning for Action Detection
    • [cs.LG]Steady State Analysis of Episodic Reinforcement Learning
    • [cs.LG]Symbolically Solving Partial Differential Equations using Deep Learning
    • [cs.LG]Synthetic Data — A Privacy Mirage
    • [cs.LG]Toward the Fully Physics-Informed Echo State Network — an ODE Approximator Based on Recurrent Artificial Neurons
    • [cs.LG]Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
    • [cs.NE]Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms
    • [cs.NE]Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
    • [cs.RO]3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
    • [cs.RO]A Legged Soft Robot Platform for Dynamic Locomotion
    • [cs.RO]Attitude and Thrust Strategies for Fully-Actuated Multirotors: The Fast-Track to Real-World Applications
    • [cs.RO]Collaborative Robotic Manipulation: A Use Case of Articulated Objects in Three-dimensions with Gravity
    • [cs.RO]Coordinated Motion Control and Event-based Obstacle-crossing for Four Wheel-leg Independent Motor-driven Robotic System via MPC
    • [cs.RO]DANAE: a denoising autoencoder for underwater attitude estimation
    • [cs.RO]Enabling the Sense of Self in a Dual-Arm Robot
    • [cs.RO]Formation-based Selection of Drone Swarm Services
    • [cs.RO]Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
    • [cs.RO]Learning Latent Representations to Influence Multi-Agent Interaction
    • [cs.RO]Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
    • [cs.RO]Learning Predictive Models for Ergonomic Control of Prosthetic Devices
    • [cs.RO]Learning Scalable Self-Driving Policies for Generic Traffic Scenarios
    • [cs.RO]Mechanics of compliant serial manipulator composed of dual-triangle segments
    • [cs.RO]Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations
    • [cs.RO]Real time implementation of CTRNN and BPTT algorithm to learn on-line biped robot balance: Experiments on the standing posture
    • [cs.RO]Relative Drone — Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations
    • [cs.RO]Robotic self-representation improves manipulation skills and transfer learning
    • [cs.RO]Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
    • [cs.RO]Safe and Robust Motion Planning for Dynamic Robotics via Control Barrier Functions
    • [cs.RO]Scaffolding Reflection in Reinforcement Learning Framework for Confinement Escape Problem
    • [cs.RO]Tactile SLAM: Real-time inference of shape and pose from planar pushing
    • [cs.RO]Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry
    • [cs.SD]A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
    • [cs.SI]International expert communities on Twitter become more isolated during the COVID-19 pandemic
    • [cs.SI]Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog
    • [econ.EM]Dynamic factor, leverage and realized covariances in multivariate stochastic volatility
    • [econ.EM]Identifying Causal Effects in Experiments with Social Interactions and Non-compliance
    • [econ.EM]When Should We (Not) Interpret Linear IV Estimands as LATE?
    • [econ.GN]A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany
    • [eess.AS]Multi-Modal Emotion Detection with Transfer Learning
    • [eess.IV]Automatic segmentation with detection of local segmentation failures in cardiac MRI
    • [eess.IV]Metastatic Cancer Image Classification Based On Deep Learning Method
    • [eess.SP]Deep learning-based classification of fine hand movements from low frequency EEG
    • [eess.SP]IoT Wallet: Machine Learning-based Sensor Portfolio Application
    • [eess.SP]REPAC: Reliable estimation of phase-amplitude coupling in brain networks
    • [eess.SY]On the stability properties of Gated Recurrent Units neural networks
    • [eess.SY]Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
    • [math.CO]On symmetric and Hermitian rank distance codes
    • [math.MG]Invariants of Self-Intersected and Inversive N-Periodics in the Elliptic Billiard
    • [math.ST]Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso
    • [math.ST]Adaptive estimation of a function from its Exponential Radon Transform in presence of noise
    • [math.ST]An exact kernel framework for spatio-temporal dynamics
    • [math.ST]Estimating the Copula of a class of Time-Changed Brownian Motions: A non-parametric Approach
    • [physics.soc-ph]Influencing dynamics on social networks without knowledge of network microstructure
    • [q-bio.QM]FastTrack: an open-source software for tracking varying numbers of deformable objects
    • [stat.AP]An exploratory assessment of a multidimensional healthcare and economic data on COVID-19 in Nigeria
    • [stat.AP]Social Distancing and COVID-19: A randomization inference for structured dose-response relationship
    • [stat.CO]NLMEModeling: A Wolfram Mathematica Package for Nonlinear Mixed Effects Modeling of Dynamical Systems
    • [stat.CO]Ultimate Pólya Gamma Samplers — Efficient MCMC for possibly imbalanced binary and categorical data
    • [stat.ME]Bayesian nonparametric modelling of sequential discoveries
    • [stat.ME]Clustering microbiome data using mixtures of logistic normal multinomial models
    • [stat.ME]Contextualizing E-values for Interpretable Sensitivity to Unmeasured Confounding Analyses
    • [stat.ME]Group design in group testing for COVID-19 : A French case-study
    • [stat.ME]Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution
    • [stat.ME]Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework
    • [stat.ME]Regression Trees for Cumulative Incidence Functions
    • [stat.ME]The Safe Log Rank Test: Error Control under Optional Stopping, Continuation and Prior Misspecification
    • [stat.ML]High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
    • [stat.ML]Improving Offline Contextual Bandits with Distributional Robustness

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    • [cs.AI]Continual Learning with Deep Artificial Neurons
    Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada
    http://arxiv.org/abs/2011.07035v1

    • [cs.AI]DeepMind Lab2D
    Charles Beattie, Thomas Köppe, Edgar A. Duéñez-Guzmán, Joel Z. Leibo
    http://arxiv.org/abs/2011.07027v1

    • [cs.AI]Domain-Level Explainability — A Challenge for Creating Trust in Superhuman AI Strategies
    Jonas Andrulis, Ole Meyer, Grégory Schott, Samuel Weinbach, Volker Gruhn
    http://arxiv.org/abs/2011.06665v1

    • [cs.CL]A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
    Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang
    http://arxiv.org/abs/2011.06727v1

    • [cs.CL]Arabic Dialect Identification Using BERT-Based Domain Adaptation
    Ahmad Beltagy, Abdelrahman Wael, Omar ElSherief
    http://arxiv.org/abs/2011.06977v1

    • [cs.CL]Context-aware Stand-alone Neural Spelling Correction
    Xiangci Li, Hairong Liu, Liang Huang
    http://arxiv.org/abs/2011.06642v1

    • [cs.CL]Cross-Domain Learning forClassifying Propaganda in Online Contents
    Liqiang Wang, Xiaoyu Shen, Gerard de Melo, Gerhard Weikum
    http://arxiv.org/abs/2011.06844v1

    • [cs.CL]EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints
    Weijia Xu, Marine Carpuat
    http://arxiv.org/abs/2011.06868v1

    • [cs.CL]FLERT: Document-Level Features for Named Entity Recognition
    Stefan Schweter, Alan Akbik
    http://arxiv.org/abs/2011.06993v1

    • [cs.CL]Interpretable Multi-dataset Evaluation for Named Entity Recognition
    Jinlan Fu, Pengfei Liu, Graham Neubig
    http://arxiv.org/abs/2011.06854v1

    • [cs.CL]Learning language variations in news corpora through differential embeddings
    Carlos Selmo, Julian F. Martinez, Mariano G. Beiró, J. Ignacio Alvarez-Hamelin
    http://arxiv.org/abs/2011.06949v1

    • [cs.CL]Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning
    Morteza Rohanian, Julian Hough
    http://arxiv.org/abs/2011.06754v1

    • [cs.CL]RethinkCWS: Is Chinese Word Segmentation a Solved Task?
    Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang
    http://arxiv.org/abs/2011.06858v1

    • [cs.CL]Unsupervised Explanation Generation for Machine Reading Comprehension
    Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/2011.06737v1

    • [cs.CL]diagNNose: A Library for Neural Activation Analysis
    Jaap Jumelet
    http://arxiv.org/abs/2011.06819v1

    • [cs.CL]doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
    Song Feng, Hui Wan, Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras
    http://arxiv.org/abs/2011.06623v1

    • [cs.CR]Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
    Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy Cason, Shreyas Sundaram, Saurabh Bagchi
    http://arxiv.org/abs/2011.06933v1

    • [cs.CV]A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
    Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode, Howie Choset, John Galeotti
    http://arxiv.org/abs/2011.07019v1

    • [cs.CV]Adaptive Future Frame Prediction with Ensemble Network
    Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki
    http://arxiv.org/abs/2011.06788v1

    • [cs.CV]Adversarial Robustness Against Image Color Transf
    a10
    ormation within Parametric Filter Space
    Zhengyu Zhao, Zhuoran Liu, Martha Larson
    http://arxiv.org/abs/2011.06690v1

    • [cs.CV]Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints
    Jiajun Zhang, Pengyuan Ren, Jianmin Li
    http://arxiv.org/abs/2011.06798v1

    • [cs.CV]Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification
    J. Tu, C. Chen, X. Huang, J. He, X. Guan
    http://arxiv.org/abs/2011.06852v1

    • [cs.CV]Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
    Daniel Seichter, Mona Köhler, Benjamin Lewandowski, Tim Wengefeld, Horst-Michael Gross
    http://arxiv.org/abs/2011.06961v1

    • [cs.CV]Empirical Performance Analysis of Conventional Deep Learning Models for Recognition of Objects in 2-D Images
    Sangeeta Satish Rao, Nikunj Phutela, V R Badri Prasad
    http://arxiv.org/abs/2011.06639v1

    • [cs.CV]Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
    Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee
    http://arxiv.org/abs/2011.06776v1

    • [cs.CV]Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks
    Jun Nishikawa, Ryoji Ikegaya
    http://arxiv.org/abs/2011.06751v1

    • [cs.CV]Image Animation with Perturbed Masks
    Yoav Shalev, Lior Wolf
    http://arxiv.org/abs/2011.06922v1

    • [cs.CV]LULC classification by semantic segmentation of satellite images using FastFCN
    Md. Saif Hassan Onim, Aiman Rafeed Ehtesham, Amreen Anbar, A. K. M. Nazrul Islam, A. K. M. Mahbubur Rahman
    http://arxiv.org/abs/2011.06825v1

    • [cs.CV]Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
    Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen
    http://arxiv.org/abs/2011.06773v1

    • [cs.CV]Local Anomaly Detection in Videos using Object-Centric Adversarial Learning
    Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
    http://arxiv.org/abs/2011.06722v1

    • [cs.CV]Multi-layered tensor networks for image classification
    Raghavendra Selvan, Silas Ørting, Erik B Dam
    http://arxiv.org/abs/2011.06982v1

    • [cs.CV]NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
    Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris
    http://arxiv.org/abs/2011.07017v1

    • [cs.CV]SHAD3S: : A model to Sketch, Shade and Shadow
    Raghav Brahmadesam Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri
    http://arxiv.org/abs/2011.06822v1

    • [cs.CV]Structured Attention Graphs for Understanding Deep Image Classifications
    Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
    http://arxiv.org/abs/2011.06733v1

    • [cs.CV]Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
    Ross Greer, Nachiket Deo, Mohan Trivedi
    http://arxiv.org/abs/2011.06679v1

    • [cs.CV]Transductive Zero-Shot Learning using Cross-Modal CycleGAN
    Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari
    http://arxiv.org/abs/2011.06850v1

    • [cs.CV]Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
    Faisal Alamri, Sinan Kalkan, Nicolas Pugeault
    http://arxiv.org/abs/2011.06978v1

    • [cs.CV]Using Graph Neural Networks to Reconstruct Ancient Documents
    Cecilia Ostertag, Marie Beurton-Aimar
    http://arxiv.org/abs/2011.07048v1

    • [cs.DC]An Exploratory Analysis on Users’ Contributions in Federated Learning
    Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Boucchenak, Lydia Y. Chen, Stefanie Roos
    http://arxiv.org/abs/2011.06830v1

    • [cs.DC]Elastic Composition of Crowdsourced IoT Energy Services
    Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat, Basem Suleiman
    http://arxiv.org/abs/2011.06771v1

    • [cs.DC]Fibers are not (P)Threads: The Case for Loose Coupling of Asynchronous Programming Models and MPI Through Continuations
    Joseph Schuchart, Christoph Niethammer, José Gracia
    http://arxiv.org/abs/2011.06684v1

    • [cs.DC]Schedulability Bounds for Parallel Real-Time Tasks under Global Rate-Monotonic Scheduling
    Xu Jiang, Nan Guan, Maolin Yang, Yue Tang, Wang Yi
    http://arxiv.org/abs/2011.06762v1

    • [cs.DL]Similarity network fusion for scholarly journals
    Federica Baccini, Lucio Barabesi, Alberto Baccini, Mahdi Khelfaoui, Yves Gingras
    http://arxiv.org/abs/2011.06795v1

    • [cs.DM]Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
    Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
    http://arxiv.org/abs/2011.06549v2

    • [cs.HC]Understanding College Students’ Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution
    Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer
    http://arxiv.org/abs/2011.06007v1

    • [cs.IR]Heterogeneous Graph Collaborative Filtering
    Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang
    http://arxiv.org/abs/2011.06807v1

    • [cs.IR]Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
    Elejalde Erick, Galanopoulos Damianos, Niederee Claudia, Mezaris Vasileios
    http://arxiv.org/abs/2011.06829v1

    • [cs.IT]Algebraic Quantum Codes: Linking Quantum Mechanics and Discrete Mathematics
    Markus Grassl
    http://arxiv.org/abs/2011.06996v1

    • [cs.IT]Bounds for the multilevel construction
    Tao Feng, Sascha Kurz, Shuangqing Liu
    http://arxiv.org/abs/2011.06937v1

    • [cs.IT]Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
    Ali Bereyhi, Saba Asaad, Bernhard Gäde, Ralf R. Müller, H. Vincent Poor
    http://arxiv.org/abs/2011.06890v1

    • [cs.IT]Performance Analysis of Cell-free and User-Centric MIMO Networks with Optical Fronthaul and Backhaul Links
    Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand
    http://arxiv.org/abs/2011.06680v1

    • [cs.IT]Physical Layer Security in a SISO Communication using Frequency-Domain Time-Reversal OFDM Precoding and Artificial Noise Injection
    Sidney Jonathan Golstein, François Rottenberg, François Horlin, Philippe De Doncker, Julien Sarrazin
    http://arxiv.org/abs/2011.06840v1

    • [cs.LG]A Homotopy Coordinate Descent Optimization Method for $l_0$-Norm Regularized Least Square Problem
    Zhenzhen Sun, Yuanlong Yu
    http://arxiv.org/abs/2011.06841v1

    • [cs.LG]A Reweighted Meta Learning Framework for Robust Few Shot Learning
    Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh Iyer, Feng Chen
    http://arxiv.org/abs/2011.06782v1

    • [cs.LG]Active Reinforcement Learning: Observing Rewards at a Cost
    David Krueger, Jan Leike, Owain Evans, John Salvatier
    http://arxiv.org/abs/2011.06709v1

    • [cs.LG]Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning
    Riad Akrour, Asma Atamna, Jan Peters
    http://arxiv.org/abs/2011.07016v1

    • [cs.LG]Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
    Jiajun Fan, He Ba, Xian Guo, Jianye Hao
    http://arxiv.org/abs/2011.06752v1

    • [cs.LG]Dependency-based Anomaly Detection: Framework, Methods and Benchmark
    Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu
    http://arxiv.org/abs/2011.06716v1

    • [cs.LG]Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
    Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
    http://arxiv.org/abs/2011.06964v1

    • [cs.LG]Diffusion models for Handwriting Generation
    Troy Luhman, Eric Luhman
    http://arxiv.org/abs/2011.06704v1

    • [cs.LG]Efficient Subspace Search in Data Streams
    Edouard Fouché, Florian Kalinke, Klemens Böhm
    http://arxiv.org/abs/2011.06959v1

    • [cs.LG]End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models
    Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
    http://arxiv.org/abs/2011.06833v1

    • [cs.LG]Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
    http://arxiv.org/abs/2011.06803v1

    • [cs.LG]Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
    Mohammad Bakhtiari, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Amirhossein Bayat, David B. Blumenthal, Markus List, Jan Baumbach
    http://arxiv.org/abs/2011.07006v1

    • [cs.LG]Hybrid Federated and Centralized Learning
    Ahmet M. Elbir
    http://arxiv.org/abs/2011.06892v1

    • [cs.LG]Image analysis for Alzheimer’s disease prediction: Embracing pathological hallmarks for model architecture design
    Sarah C. Brüningk, Felix Hensel, Catherine R. Jutzeler, Bastian Rieck
    http://arxiv.org/abs/2011.06531v2

    • [cs.LG]LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
    Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt, K. Joost Batenburg
    http://arxiv.org/abs/2011.06923v1

    • [cs.LG]Learning to Drop: Robust Graph Neural Network via Topological Denoising
    Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
    http://arxiv.org/abs/2011.07057v1

    • [cs.LG]Low-activity supervised convolutional spiking neural networks applied to speech commands recognition
    Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
    http://arxiv.org/abs/2011.06846v1

    • [cs.LG]Non-stationary Online Regression
    Anant Raj, Pierre Gaillard, Christophe Saad
    http://arxiv.org/abs/2011.06957v1

    • [cs.LG]Population synthesis for urban resident modeling using deep generative models
    Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira
    http://arxiv.org/abs/2011.06851v1

    • [cs.LG]ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
    Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held
    http://arxiv.org/abs/2011.06777v1

    • [cs.LG]Rebounding Bandits for Modeling Satiation Effects
    Liu Leqi, Fatma Kilinc-Karzan, Zachary C. Lipton, Alan L. Montgomery
    http://arxiv.org/abs/2011.06741v1

    • [cs.LG]SALAD: Self-Assessment Learning for Action Detection
    Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
    http://arxiv.org/abs/2011.06958v1

    • [cs.LG]Steady State Analysis of Episodic Reinforcement Learning
    Huang Bojun
    http://arxiv.org/abs/2011.06631v1

    • [cs.LG]Symbolically Solving Partial Differential Equations using Deep Learning
    Maysum Panju, Kourosh Parand, Ali Ghodsi
    http://arxiv.org/abs/2011.06673v1

    • [cs.LG]Synthetic Data — A Privacy Mirage
    Theresa Stadler, Bristena Oprisanu, Carmela Troncoso
    http://arxiv.org/abs/2011.07018v1

    • [cs.LG]Toward the Fully Physics-Informed Echo State Network — an ODE Approximator Based on Recurrent Artificial Neurons
    Dong Keun Oh
    http://arxiv.org/abs/2011.06769v1

    • [cs.LG]Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
    Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
    http://arxiv.org/abs/2011.06796v1

    • [cs.NE]Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms
    Paul Dufossé, Cyrille Enderli
    http://arxiv.org/abs/2011.06913v1

    • [cs.NE]Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
    Rasmus Berg Palm, Elias Najarro, Sebastian Risi
    http://arxiv.org/abs/2011.06811v1

    • [cs.RO]3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
    Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/2011.06730v1

    • [cs.RO]A Legged Soft Robot Platform for Dynamic Locomotion
    Boxi Xia, Jiaming Fu, Hongbo Zhu, Zhicheng Song, Yibo Jiang, Hod Lipson
    http://arxiv.org/abs/2011.06749v1

    • [cs.RO]Attitude and Thrust Strategies for Fully-Actuated Multirotors: The Fast-Track to Real-World Applications
    Azarakhsh Keipour, Mohammadreza Mousaei, Andrew T Ashley, Sebastian Scherer
    http://arxiv.org/abs/2011.06666v1

    • [cs.RO]Collaborative Robotic Manipulation: A Use Case of Articulated Objects in Three-dimensions with Gravity
    Riccardo Bertolucci, Alessio Capitanelli, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati
    http://arxiv.org/abs/2011.06865v1

    • [cs.RO]Coordinated Motion Control and Event-based Obstacle-crossing for Four Wheel-leg Independent Motor-driven Robotic System via MPC
    Liu Dongchen, Wang Junzheng, Wang Shoukun
    http://arxiv.org/abs/2011.06717v1

    • [cs.RO]DANAE: a denoising autoencoder for underwater attitude estimation
    Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi
    http://arxiv.org/abs/2011.06853v1

    • [cs.RO]Enabling the Sense of Self in a Dual-Arm Robot
    Ali AlQallaf, Gerardo Aragon-Camarasa
    http://arxiv.org/abs/2011.07026v1

    • [cs.RO]Formation-based Selection of Drone Swarm Services
    Balsam Alkouz, Athman Bouguettaya
    http://arxiv.org/abs/2011.06766v1

    • [cs.RO]Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
    Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha Srinivasa
    http://arxiv.org/abs/2011.06719v1

    • [cs.RO]Learning Latent Representations to Influence Multi-Agent Interaction
    Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh
    http://arxiv.org/abs/2011.06619v1

    • [cs.RO]Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
    Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic
    http://arxiv.org/abs/2011.06813v1

    • [cs.RO]Learning Predictive Models for Ergonomic Control of Prosthetic Devices
    Geoffrey Clark, Joseph Campbell, Heni Ben Amor
    http://arxiv.org/abs/2011.07005v1

    • [cs.RO]Learning Scalable Self-Driving Policies for Generic Traffic Scenarios
    Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2011.06775v1

    • [cs.RO]Mechanics of compliant serial manipulator composed of dual-triangle segments
    Damien Chablat, Wanda Zhao, Anatol Pashkevich, Alexandr Klimchik
    http://arxiv.org/abs/2011.06912v1

    • [cs.RO]Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations
    Nils Dengler, Tobias Zaenker, Francesco Verdoja, Maren Bennewitz
    http://arxiv.org/abs/2011.06895v1

    • [cs.RO]Real time implementation of CTRNN and BPTT algorithm to learn on-line biped robot balance: Experiments on the standing posture
    Patrick Henaff, Vincent Scesa, Fethi Ben Ouezdou, Olivier Bruneau
    http://arxiv.org/abs/2011.06910v1

    • [cs.RO]Relative Drone — Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations
    Jan Hausberg, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi
    http://arxiv.org/abs/2011.07008v1

    • [cs.RO]Robotic self-representation improves manipulation skills and transfer learning
    Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter
    http://arxiv.org/abs/2011.06985v1

    • [cs.RO]Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
    Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto
    http://arxiv.org/abs/2011.06698v1

    • [cs.RO]Safe and Robust Motion Planning for Dynamic Robotics via Control Barrier Functions
    Aniketh Manjunath, Quan Nguyen
    http://arxiv.org/abs/2011.06748v1

    • [cs.RO]Scaffolding Reflection in Reinforcement Learning Framework for Confinement Escape Problem
    Nishant Mohanty, Suresh Sundaram
    http://arxiv.org/abs/2011.06764v1

    • [cs.RO]Tactile SLAM: Real-time inference of shape and pose from planar pushing
    Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
    http://arxiv.org/abs/2011.07044v1

    • [cs.RO]Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry
    David Wisth, Marco Camurri, Sandipan Das, Maurice Fallon
    http://arxiv.org/abs/2011.06838v1

    • [cs.SD]A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
    Shulei Ji, Jing Luo, Xinyu Yang
    http://arxiv.org/abs/2011.06801v1

    • [cs.SI]International expert communities on Twitter become more isolated during the COVID-19 pandemic
    Francesco Durazzi, Martin Müller, Marcel Salathé, Daniel Remondini
    http://arxiv.org/abs/2011.06845v1

    • [cs.SI]Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog
    Fulian Yin, Xueying Shao, Meiqi Ji, Jianhong Wu
    http://arxiv.org/abs/2011.06797v1

    • [econ.EM]Dynamic factor, leverage and realized covariances in multivariate stochastic volatility
    Yuta Yamauchi, Yasuhiro Omori
    http://arxiv.org/abs/2011.06909v1

    • [econ.EM]Identifying Causal Effects in Experiments with Social Interactions and Non-compliance
    Francis J. DiTraglia, Camilo Garcia-Jimeno, Rossa O’Keeffe-O’Donovan, Alejandro Sanchez-Becerra
    http://arxiv.org/abs/2011.07051v1

    • [econ.EM]When Should We (Not) Interpret Linear IV Estimands as LATE?
    Tymon Słoczyński
    http://arxiv.org/abs/2011.06695v1

    • [econ.GN]A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany
    Tina Krell, Fabian Braesemann, Fabian Stephany, Nicolas Friederici, Philip Meier
    http://arxiv.org/abs/2011.06859v1

    • [eess.AS]Multi-Modal Emotion Detection with Transfer Learning
    Amith Ananthram, Kailash Karthik Saravanakumar, Jessica Huynh, Homayoon Beigi
    http://arxiv.org/abs/2011.07065v1

    • [eess.IV]Automatic segmentation with detection of local segmentation failures in cardiac MRI
    Jörg Sander, Bob D. de Vos, Ivana Išgum
    http://arxiv.org/abs/2011.07025v1

    • [eess.IV]Metastatic Cancer Image Classification Based On Deep Learning Method
    Guanwen Qiu, Xiaobing Yu, Baolin Sun, Yunpeng Wang, Lipei Zhang
    http://arxiv.org/abs/2011.06984v1

    • [eess.SP]Deep learning-based classification of fine hand movements from low frequency EEG
    Giulia Bressan, Selina C. Wriessnegger, Giulia Cisotto
    http://arxiv.org/abs/2011.06791v1

    • [eess.SP]IoT Wallet: Machine Learning-based Sensor Portfolio Application
    Petar Šolić, Ante Lojić Kapetanović, Tomislav Županović, Ivo Kovačević, Toni Perković, Petar Popovski
    http://arxiv.org/abs/2011.06861v1

    • [eess.SP]REPAC: Reliable estimation of phase-amplitude coupling in brain networks
    Giulia Cisotto
    http://arxiv.org/abs/2011.06878v1

    • [eess.SY]On the stability properties of Gated Recurrent Units neural networks
    Fabio Bonassi, Marcello Farina, Riccardo Scattolini
    http://arxiv.org/abs/2011.06806v1

    • [eess.SY]Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
    Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan
    http://arxiv.org/abs/2011.06882v1

    • [math.CO]On symmetric and Hermitian rank distance codes
    Antonio Cossidente, Giuseppe Marino, Francesco Pavese
    http://arxiv.org/abs/2011.06942v1

    • [math.MG]Invariants of Self-Intersected and Inversive N-Periodics in the Elliptic Billiard
    Ronaldo Garcia, Dan Reznik
    http://arxiv.org/abs/2011.06640v1

    • [math.ST]Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso
    Yisha Yao, Cun-Hui Zhang
    http://arxiv.org/abs/2011.06765v1

    • [math.ST]Adaptive estimation of a function from its Exponential Radon Transform in presence of noise
    Anuj Abhishek, Sakshi Arya
    http://arxiv.org/abs/2011.06887v1

    • [math.ST]An exact kernel framework for spatio-temporal dynamics
    Oleg Szehr, Dario Azzimonti, Laura Azzimonti
    http://arxiv.org/abs/2011.06848v1

    • [math.ST]Estimating the Copula of a class of Time-Changed Brownian Motions: A non-parametric Approach
    6b7d
    Orimar Sauri, Toke C. Zinn
    http://arxiv.org/abs/2011.06955v1

    • [physics.soc-ph]Influencing dynamics on social networks without knowledge of network microstructure
    Matthew Garrod, Nick S. Jones
    http://arxiv.org/abs/2011.05774v1

    • [q-bio.QM]FastTrack: an open-source software for tracking varying numbers of deformable objects
    Benjamin Gallois, Raphaël Candelier
    http://arxiv.org/abs/2011.06837v1

    • [stat.AP]An exploratory assessment of a multidimensional healthcare and economic data on COVID-19 in Nigeria
    Ezekiel Ogundepo, Sakinat Folorunso, Olubayo Adekanmbi, Olalekan Akinsande, Oluwatobi Banjo, Emeka Ogbuju, Francisca Oladipo, Olawale Abimbola, Ehizokhale Oseghale, Oluwatobi Babajide
    http://arxiv.org/abs/2011.06689v1

    • [stat.AP]Social Distancing and COVID-19: A randomization inference for structured dose-response relationship
    Bo Zhang, Siyu Heng, Ting Ye, Dylan S. Small
    http://arxiv.org/abs/2011.06917v1

    • [stat.CO]NLMEModeling: A Wolfram Mathematica Package for Nonlinear Mixed Effects Modeling of Dynamical Systems
    Jacob Leander, Joachim Almquist, Anna Johnning, Julia Larsson, Mats Jirstrand
    http://arxiv.org/abs/2011.06879v1

    • [stat.CO]Ultimate Pólya Gamma Samplers — Efficient MCMC for possibly imbalanced binary and categorical data
    Sylvia Frühwirth-Schnatter, Gregor Zens, Helga Wagner
    http://arxiv.org/abs/2011.06898v1

    • [stat.ME]Bayesian nonparametric modelling of sequential discoveries
    Alessandro Zito, Tommaso Rigon, Otso Ovaskainen, David Dunson
    http://arxiv.org/abs/2011.06629v1

    • [stat.ME]Clustering microbiome data using mixtures of logistic normal multinomial models
    Yuan Fang, Sanjeena Subedi
    http://arxiv.org/abs/2011.06682v1

    • [stat.ME]Contextualizing E-values for Interpretable Sensitivity to Unmeasured Confounding Analyses
    Lucy D’Agostino McGowan, Robert A. Greevy, Jr
    http://arxiv.org/abs/2011.07030v1

    • [stat.ME]Group design in group testing for COVID-19 : A French case-study
    Tifaout Almeftah, Luce Brotcorne, Diego Cattaruzza, Bernard Fortz, Kaba Keita, Martine Labbé, Maxime Ogier, Frédéric Semet
    http://arxiv.org/abs/2011.06927v1

    • [stat.ME]Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution
    Dungang Liu, Regina Y. Liu, Minge Xie
    http://arxiv.org/abs/2011.07047v1

    • [stat.ME]Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework
    Guanghao Zhang, Lauren J. Beesley, Bhramar Mukherjee, Xu Shi
    http://arxiv.org/abs/2011.06663v1

    • [stat.ME]Regression Trees for Cumulative Incidence Functions
    Youngjoo Cho, Annette M. Molinaro, Chen Hu, Robert L. Strawderman
    http://arxiv.org/abs/2011.06706v1

    • [stat.ME]The Safe Log Rank Test: Error Control under Optional Stopping, Continuation and Prior Misspecification
    P. Grunwald, A. Ly, M. F. Perez-Ortiz, J. ter Schure
    http://arxiv.org/abs/2011.06931v1

    • [stat.ML]High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
    Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard
    http://arxiv.org/abs/2011.06794v1

    • [stat.ML]Improving Offline Contextual Bandits with Distributional Robustness
    Otmane Sakhi, Louis Faury, Flavian Vasile
    http://arxiv.org/abs/2011.06835v1