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.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 q-bio.MN - 分子网络 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Compressive Shack-Hartmann Wavefront Sensing based on Deep Neural Networks
    • [astro-ph.IM]Evaluation of investigational paradigms for the discovery of non-canonical astrophysical phenomena
    • [astro-ph.IM]Modelling the Point Spread Function of Wide Field Small Aperture Telescopes With Deep Neural Networks — Applications in Point Spread Function Estimation
    • [astro-ph.IM]Smart obervation method with wide field small aperture telescopes for real time transient detection
    • [cs.AI]Filtering Rules for Flow Time Minimization in a Parallel Machine Scheduling Problem
    • [cs.AI]SophiaPop: Experiments in Human-AI Collaboration on Popular Music
    • [cs.AI]Towards Abstract Relational Learning in Human Robot Interaction
    • [cs.CL]1st AfricaNLP Workshop Proceedings, 2020
    • [cs.CL]A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
    • [cs.CL]An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
    • [cs.CL]Are Chess Discussions Racist? An Adversarial Hate Speech Data Set
    • [cs.CL]Collaborative Storytelling with Large-scale Neural Language Models
    • [cs.CL]Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews
    • [cs.CL]Learning Informative Representations of Biomedical Relations with Latent Variable Models
    • [cs.CL]ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
    • [cs.CL]Sentiment Classification in Bangla Textual Content: A Comparative Study
    • [cs.CL]Topic modelling discourse dynamics in historical newspapers
    • [cs.CR]Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach
    • [cs.CR]Detecting Universal Trigger’s Adversarial Attack with Honeypot
    • [cs.CV]ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
    • [cs.CV]Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
    • [cs.CV]An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning
    • [cs.CV]Assessing out-of-domain generalization for robust building damage detection
    • [cs.CV]Batteries, camera, action! Learning a semantic control space for expressive robot cinematography
    • [cs.CV]Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier’s Decision
    • [cs.CV]Cascade Attentive Dropout for Weakly Supervised Object Detection
    • [cs.CV]ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
    • [cs.CV]Cooperating RPN’s Improve Few-Shot Object Detection
    • [cs.CV]Crowdsourcing Airway Annotations in Chest Computed Tomography Images
    • [cs.CV]Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
    • [cs.CV]DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval
    • [cs.CV]DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
    • [cs.CV]Efficient Conditional Pre-training for Transfer Learning
    • [cs.CV]Exploring Simple Siamese Representation Learning
    • [cs.CV]FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
    • [cs.CV]Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
    • [cs.CV]Improvement of Classification in One-Stage Detector
    • [cs.CV]Intrinsic Image Decomposition using Paradigms
    • [cs.CV]Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
    • [cs.CV]LAGNet: Logic-Aware Graph Network for Human Interaction Understanding
    • [cs.CV]Learning Object-Centric Video Models by Contrasting Sets
    • [cs.CV]MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices
    • [cs.CV]Neural Scene Graphs for Dynamic Scenes
    • [cs.CV]On-Device Text Image Super Resolution
    • [cs.CV]Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
    • [cs.CV]RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
    • [cs.CV]SLADE: A Self-Training Framework For Distance Metric Learning
    • [cs.CV]SalSum: Saliency-based Video Summarization using Generative Adversarial Networks
    • [cs.CV]Segmentation overlapping wear particles with few labelled data and imbalance sample
    • [cs.CV]Self-Supervised Small Soccer Player Detection and Tracking
    • [cs.CV]Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
    • [cs.CV]VLG-Net: Video-Language Graph Matching Network for Video Grounding
    • [cs.CY]COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
    • [cs.CY]How do you feel: Emotions exhibited while Playing Computer Games and their Relationship with Gaming Behaviors
    • [cs.CY]Implementing the Cognition Level for Industry 4.0 by integrating Augmented Reality and Manufacturing Execution Systems
    • [cs.DB]Checking Causal Consistency of Distributed Databases
    • [cs.DB]Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
    • [cs.DC]Locally Solvable Tasks and the Limitations of Valency Arguments
    • [cs.GR]ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning
    • [cs.IR]A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations
    • [cs.IR]Exploring Global Information for Session-based Recommendation
    • [cs.IR]User and Item-aware Estimation of Review Helpfulness
    • [cs.IT]Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms
    • [cs.IT]Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications
    • [cs.IT]On Error Exponents of Encoder-Assisted Communication Systems
    • [cs.IT]Progressive Rate-Filling: A Framework for Agile Construction of Multilevel Polar-Coded Modulation
    • [cs.IT]Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
    • [cs.IT]WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing
    • [cs.LG]A global universality of two-layer neural networks with ReLU activations
    • [cs.LG]Certified Monotonic Neural Networks
    • [cs.LG]Complexity Controlled Generative Adversarial Networks
    • [cs.LG]Convergence Analysis of Homotopy-SGD for non-convex optimization
    • [cs.LG]Cost-effective Variational Active Entity Resolution
    • [cs.LG]Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops
    • [cs.LG]Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet
    • [cs.LG]Double Self-weighted Multi-view Clustering via Adaptive View Fusion
    • [cs.LG]Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems
    • [cs.LG]Efficient Data-Dependent Learnability
    • [cs.LG]Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder
    • [cs.LG]Finding Prerequisite Relations between Concepts using Textbook
    • [cs.LG]GAN based ball screw drive picture database enlargement for failure classification
    • [cs.LG]Graph Signal Recovery Using Restricted Boltzmann Machines
    • [cs.LG]Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
    • [cs.LG]Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks
    • [cs.LG]PSD2 Explainable AI Model for Credit Scoring
    • [cs.LG]Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon
    • [cs.LG]Provable Multi-Objective Reinforcement Learning with Generative Models
    • [cs.LG]Sequential Targeting: an incremental learning approach for data imbalance in text classification
    • [cs.LG]StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
    • [cs.LG]Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
    • [cs.LG]Towards Building a Robust and Fair Federated Learning System
    • [cs.LG]Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat
    • [cs.NE]CSCF: a chaotic sine cosine firefly Algorithm for practical application problems
    • [cs.NE]Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay
    • [cs.NE]Temporal Surrogate Back-propagation for Spiking Neural Networks
    • [cs.NI]Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility
    • [cs.RO]Accelerating Probabilistic Volumetric Mapping using Ray-Tracing Graphics Hardware
    • [cs.RO]Analytic Bipedal Walking with Fused Angles and Corrective Actions in the Tilt Phase Space
    • [cs.RO]Bridging Scene Understanding and Task Execution with Flexible Simulation Environments
    • [cs.RO]CLIPPER: A Graph-Theoretic Framework for Robust Data Association
    • [cs.RO]FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds
    • [cs.RO]Learning Synthetic to Real Transfer for Localization and Navigational Tasks
    • [cs.RO]Lidar-based exploration and discretization for mobile robot planning
    • [cs.RO]Planning Folding Motion with Simulation in the Loop Using Laser Forming Origami and Thermal Behaviors as an Example
    • [cs.RO]Probabilistic Radio-Visual Active Sensing for Search and Tracking
    • [cs.RO]Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
    • [cs.RO]Simulation-based Testing for Early Safety-Validation of Robot Systems
    • [cs.RO]Utilizing ROS 1 and the Turtlebot3 in a Multi-Robot System
    • [cs.SI]Exploring the political pulse of a country using data science tools
    • [cs.SI]Time-Series Snapshot Network as A New Model for Role Recommendation in OSS
    • [eess.IV]Discriminative Localized Sparse Representations for Breast Cancer Screening
    • [eess.IV]Edge Adaptive Hybrid Regularization Model For Image Deblurring
    • [eess.IV]Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
    • [eess.SP]Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy
    • [eess.SY]MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
    • [math.OC]Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty
    • [math.ST]Functional central limit theorems for stick-breaking priors
    • [math.ST]Nonparametric instrumental regression with right censored duration outcomes
    • [physics.geo-ph]Seismic Facies Analysis: A Deep Domain Adaptation Approach
    • [q-bio.MN]Computation capacities of a broad class of signaling networks are higher than their communication capacities
    • [quant-ph]On barren plateaus and cost function locality in variational quantum algorithms
    • [stat.AP]Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis
    • [stat.ME]Computation and application of generalized linear mixed model derivatives using lme4
    • [stat.ME]Detecting systematic anomalies affecting systems when inputs are stationary time series
    • [stat.ME]Finding and assessing treatment effect sweet spots in clinical trial data
    • [stat.ME]Reconstruct Kaplan—Meier Estimator as M-estimator and Its Confidence Band
    • [stat.ME]Scale estimation and data-driven tuning constant selection for M-quantile regression
    • [stat.ML]Anderson acceleration of coordinate descent
    • [stat.ML]Gradient Regularisation as Approximate Variational Inference
    • [stat.ML]Meta-Learning for Time Series Forecasting Ensemble
    • [stat.ML]Normalization effects on shallow neural networks and related asymptotic expansions
    • [stat.ML]On the coercivity condition in the learning of interacting particle systems
    • [stat.ML]Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters

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

    • [astro-ph.IM]Compressive Shack-Hartmann Wavefront Sensing based on Deep Neural Networks
    Peng Jia, Mingyang Ma, Dongmei Cai, Weihua Wang, Juanjuan Li, Can Li
    http://arxiv.org/abs/2011.10241v1

    • [astro-ph.IM]Evaluation of investigational paradigms for the discovery of non-canonical astrophysical phenomena
    Caitlyn A. K. Singam, Jacob Haqq-Misra, Amedeo Balbi, Alexander M. Sessa, Beatriz Villarroel, Gabriel G. De la Torre, David Grinspoon, Hikaru Furukawa, Virisha Timmaraju
    http://arxiv.org/abs/2011.10086v1

    • [astro-ph.IM]Modelling the Point Spread Function of Wide Field Small Aperture Telescopes With Deep Neural Networks — Applications in Point Spread Function Estimation
    Peng Jia, Xuebo Wu, Zhengyang Li, Bo Li, Weihua Wang, Qiang Liu, Adam Popowicz
    http://arxiv.org/abs/2011.10243v1

    • [astro-ph.IM]Smart obervation method with wide field small aperture telescopes for real time transient detection
    Peng Jia, Qiang Liu, Yongyang Sun, Yitian Zheng, Wenbo Liu, Yifei Zhao
    http://arxiv.org/abs/2011.10407v1

    • [cs.AI]Filtering Rules for Flow Time Minimization in a Parallel Machine Scheduling Problem
    Margaux Nattaf, Arnaud Malapert
    http://arxiv.org/abs/2011.10307v1

    • [cs.AI]SophiaPop: Experiments in Human-AI Collaboration on Popular Music
    David Hanson, Frankie Storm, Wenwei Huang, Vytas Krisciunas, Tiger Darrow, Audrey Brown, Mengna Lei, Matthew Aylett, Adam Pickrell, Sophia the Robot
    http://arxiv.org/abs/2011.10363v1

    • [cs.AI]Towards Abstract Relational Learning in Human Robot Interaction
    Mohamadreza Faridghasemnia, Daniele Nardi, Alessandro Saffiotti
    http://arxiv.org/abs/2011.10364v1

    • [cs.CL]1st AfricaNLP Workshop Proceedings, 2020
    Kathleen Siminyu, Laura Martinus, Vukosi Marivate
    http://arxiv.org/abs/2011.10361v1

    • [cs.CL]A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
    Ashima Yadav, Dinesh Kumar Vishwakarma
    http://arxiv.org/abs/2011.10358v1

    • [cs.CL]An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
    Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly
    http://arxiv.org/abs/2011.09754v2

    • [cs.CL]Are Chess Discussions Racist? An Adversarial Hate Speech Data Set
    Rupak Sarkar, Ashiqur R. KhudaBukhsh
    http://arxiv.org/abs/2011.10280v1

    • [cs.CL]Collaborative Storytelling with Large-scale Neural Language Models
    Eric Nichols, Leo Gao, Randy Gomez
    http://arxiv.org/abs/2011.10208v1

    • [cs.CL]Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews
    Quoc Thai Nguyen, Thoai Linh Nguyen, Ngoc Hoang Luong, Quoc Hung Ngo
    http://arxiv.org/abs/2011.10426v1

    • [cs.CL]Learning Informative Representations of Biomedical Relations with Latent Variable Models
    Harshil Shah, Julien Fauqueur
    http://arxiv.org/abs/2011.10285v1

    • [cs.CL]ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
    Fanchao Qi, Yangyi Chen, Mukai Li, Zhiyuan Liu, Maosong Sun
    http://arxiv.org/abs/2011.10369v1

    • [cs.CL]Sentiment Classification in Bangla Textual Content: A Comparative Study
    Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, Firoj Alam
    http://arxiv.org/abs/2011.10106v1

    • [cs.CL]Topic modelling discourse dynamics in historical newspapers
    Jani Marjanen, Elaine Zosa, Simon Hengchen, Lidia Pivovarova, Mikko Tolonen
    http://arxiv.org/abs/2011.10428v1

    • [cs.CR]Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach
    Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Harshit Srivastava, Ahmed Hallawa, Rainer Leupers
    http://arxiv.org/abs/2011.10389v1

    • [cs.CR]Detecting Universal Trigger’s Adversarial Attack with Honeypot
    Thai Le, Noseong Park, Dongwon Lee
    http://arxiv.org/abs/2011.10492v1

    • [cs.CV]ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
    Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu
    http://arxiv.org/abs/2011.10331v1

    • [cs.CV]Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
    Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
    http://arxiv.org/abs/2011.10190v1

    • [cs.CV]An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning
    Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
    http://arxiv.org/abs/2011.10170v1

    • [cs.CV]Assessing out-of-domain generalization for robust building damage detection
    Vitus Benson, Alexander Ecker
    http://arxiv.org/abs/2011.10328v1

    • [cs.CV]Batteries, camera, action! Learning a semantic control space for expressive robot cinematography
    Rogerio Bonatti, Arthur Bucker, Sebastian Scherer, Mustafa Mukadam, Jessica Hodgins
    http://arxiv.org/abs/2011.10118v1

    • [cs.CV]Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier’s Decision
    Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
    http://arxiv.org/abs/2011.10381v1

    • [cs.CV]Cascade Attentive Dropout for Weakly Supervised Object Detection
    Wenlong Gao, Ying Chen, Yong Peng
    http://arxiv.org/abs/2011.10258v1

    • [cs.CV]ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
    Zhouyong Liu, Shun Luo, Wubin Li, Jingben Lu, Yufan Wu, Chunguo Li, Luxi Yang
    http://arxiv.org/abs/2011.10185v1

    • [cs.CV]Cooperating RPN’s Improve Few-Shot Object Detection
    Weilin Zhang, Yu-Xiong Wang, David A. Forsyth
    http://arxiv.org/abs/2011.10142v1

    • [cs.CV]Crowdsourcing Airway Annotations in Chest Computed Tomography Images
    Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne
    http://arxiv.org/abs/2011.10433v1

    • [cs.CV]Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
    Takeru Suda, Masayuki Tanaka, Yusuke Monno, Masatoshi Okutomi
    http://arxiv.org/abs/2011.10232v1

    • [cs.CV]DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval
    Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
    http://arxiv.org/abs/2011.10475v1

    • [cs.CV]DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
    Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
    http://arxiv.org/abs/2011.10217v1

    • [cs.CV]Efficient Conditional Pre-training for Transfer Learning
    Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
    http://arxiv.org/abs/2011.10231v1

    • [cs.CV]Exploring Simple Siamese Representation Learning
    Xinlei Chen, Kaiming He
    http://arxiv.org/abs/2011.10566v1

    • [cs.CV]FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
    Yair Kittenplon, Yonina C. Eldar, Dan Raviv
    http://arxiv.org/abs/2011.10147v1

    • [cs.CV]Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
    Jing Guo, Shuping Wang, Chen Luo, Qiyu Jin, Michael Kwok-Po Ng
    http://arxiv.org/abs/2011.10290v1

    • [cs.CV]Improvement of Classification in One-Stage Detector
    Wu Kehe, Chen Zuge, Zhang Xiaoliang, Li Wei
    http://arxiv.org/abs/2011.10465v1

    • [cs.CV]Intrinsic Image Decomposition using Paradigms
    D. A. Forsyth, Jason J. Rock
    http://arxiv.org/abs/2011.10512v1

    • [cs.CV]Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
    Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, Jun Won Choi
    http://arxiv.org/abs/2011.10278v1

    • [cs.CV]LAGNet: Logic-Aware Graph Network for Human Interaction Understanding
    Zhenhua Wang, Jiajun Meng, Jin Zhou, Dongyan Guo, Guosheng Lin, Jianhua Zhang, Javen Qinfeng Shi, Shengyong Chen
    http://arxiv.org/abs/2011.10250v1

    • [cs.CV]Learning Object-Centric Video Models by Contrasting Sets
    Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
    http://arxiv.org/abs/2011.10287v1

    • [cs.CV]MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices
    Yekai Wang
    http://arxiv.org/abs/2011.10189v1

    • [cs.CV]Neural Scene Graphs for Dynamic Scenes
    Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide
    http://arxiv.org/abs/2011.10379v1

    • [cs.CV]On-Device Text Image Super Resolution
    Dhruval Jain, Arun D Prabhu, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Sukumar Moharana, Naresh Purre
    http://arxiv.org/abs/2011.10251v1

    • [cs.CV]Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
    Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox
    http://arxiv.org/abs/2011.10486v1

    • [cs.CV]RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
    Benjamin Graham, David Novotny
    http://arxiv.org/abs/2011.10359v1

    • [cs.CV]SLADE: A Self-Training Framework For Distance Metric Learning
    Jiali Duan, Yen-Liang Lin, Son Tran, Larry Davis, C. -C. Jay Kuo
    http://arxiv.org/abs/2011.10269v1

    • [cs.CV]SalSum: Saliency-based Video Summarization using Generative Adversarial Networks
    George Pantazis, George Dimas, Dimitris K. Iakovidis
    http://arxiv.org/abs/2011.10432v1

    • [cs.CV]Segmentation overlapping wear particles with few labelled data and imbalance sample
    Peng Peng, Jiugen Wang
    http://arxiv.org/abs/2011.10313v1

    • [cs.CV]Self-Supervised Small Soccer Player Detection and Tracking
    Samuel Hurault, Coloma Ballest
    de2
    er, Gloria Haro
    http://arxiv.org/abs/2011.10336v1

    • [cs.CV]Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
    Fangrui Liu, Zheng Liu
    http://arxiv.org/abs/2011.10239v1

    • [cs.CV]VLG-Net: Video-Language Graph Matching Network for Video Grounding
    Sisi Qu, Mattia Soldan, Mengmeng Xu, Jesper Tegner, Bernard Ghanem
    http://arxiv.org/abs/2011.10132v1

    • [cs.CY]COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
    Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
    http://arxiv.org/abs/2011.10518v1

    • [cs.CY]How do you feel: Emotions exhibited while Playing Computer Games and their Relationship with Gaming Behaviors
    Rex Bringula, Kristian Paul M. Lugtu, Mark Anthony D. Uy, Ariel Aviles
    http://arxiv.org/abs/2011.10265v1

    • [cs.CY]Implementing the Cognition Level for Industry 4.0 by integrating Augmented Reality and Manufacturing Execution Systems
    Alfonso Di Pace, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Aldo Meglio, Francesco Orciuoli
    http://arxiv.org/abs/2011.10482v1

    • [cs.DB]Checking Causal Consistency of Distributed Databases
    Rachid Zennou, Ranadeep Biswas, Ahmed Bouajjani, Constantin Enea, Mohammed Erradi
    http://arxiv.org/abs/2011.09753v2

    • [cs.DB]Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
    Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
    http://arxiv.org/abs/2011.10180v1

    • [cs.DC]Locally Solvable Tasks and the Limitations of Valency Arguments
    Hagit Attiya, Armando Castañeda, Sergio Rajsbaum
    http://arxiv.org/abs/2011.10436v1

    • [cs.GR]ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning
    Marie-Lena Eckert, Kiwon Um, Nils Thuerey
    http://arxiv.org/abs/2011.10284v1

    • [cs.IR]A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations
    Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
    http://arxiv.org/abs/2011.10187v1

    • [cs.IR]Exploring Global Information for Session-based Recommendation
    Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng
    http://arxiv.org/abs/2011.10173v1

    • [cs.IR]User and Item-aware Estimation of Review Helpfulness
    Noemi Mauro, Liliana Ardissono, Giovanna Petrone
    http://arxiv.org/abs/2011.10456v1

    • [cs.IT]Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms
    Xiaodan Shao, Xiaoming Chen, Derrick Wing Kwan Ng, Caijun Zhong, Zhaoyang Zhang
    http://arxiv.org/abs/2011.10197v1

    • [cs.IT]Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications
    Milad Tatar Mamaghani, Yi Hong
    http://arxiv.org/abs/2011.10245v1

    • [cs.IT]On Error Exponents of Encoder-Assisted Communication Systems
    Neri Merhav
    http://arxiv.org/abs/2011.10276v1

    • [cs.IT]Progressive Rate-Filling: A Framework for Agile Construction of Multilevel Polar-Coded Modulation
    Jincheng Dai, Jinnan Piao, Kai Niu
    http://arxiv.org/abs/2011.10308v1

    • [cs.IT]Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
    Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
    http://arxiv.org/abs/2011.10282v1

    • [cs.IT]WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing
    Mahdi Barzegar Khalilsarai, Benedikt Gross, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire
    http://arxiv.org/abs/2011.10402v1

    • [cs.LG]A global universality of two-layer neural networks with ReLU activations
    Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano
    http://arxiv.org/abs/2011.10225v1

    • [cs.LG]Certified Monotonic Neural Networks
    Xingchao Liu, Xing Han, Na Zhang, Qiang Liu
    http://arxiv.org/abs/2011.10219v1

    • [cs.LG]Complexity Controlled Generative Adversarial Networks
    Himanshu Pant, Jayadeva, Sumit Soman
    http://arxiv.org/abs/2011.10223v1

    • [cs.LG]Convergence Analysis of Homotopy-SGD for non-convex optimization
    Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter
    http://arxiv.org/abs/2011.10298v1

    • [cs.LG]Cost-effective Variational Active Entity Resolution
    Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, Andre Freitas
    http://arxiv.org/abs/2011.10406v1

    • [cs.LG]Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops
    Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
    http://arxiv.org/abs/2011.10115v1

    • [cs.LG]Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet
    Dong-Kyum Kim, Hawoong Jeong
    http://arxiv.org/abs/2011.10357v1

    • [cs.LG]Double Self-weighted Multi-view Clustering via Adaptive View Fusion
    Xiang Fang, Yuchong Hu
    http://arxiv.org/abs/2011.10396v1

    • [cs.LG]Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems
    Gustavo Silva, Paul Rodriguez
    http://arxiv.org/abs/2011.10100v1

    • [cs.LG]Efficient Data-Dependent Learnability
    Yaniv Fogel, Tal Shapira, Meir Feder
    http://arxiv.org/abs/2011.10334v1

    • [cs.LG]Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder
    Sam Davis, Giuseppe Coccia, Sam Gooch, Julian Mack
    http://arxiv.org/abs/2011.10469v1

    • [cs.LG]Finding Prerequisite Relations between Concepts using Textbook
    Shivam Pal, Vipul Arora, Pawan Goyal
    http://arxiv.org/abs/2011.10337v1

    • [cs.LG]GAN based ball screw drive picture database enlargement for failure classification
    Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer
    http://arxiv.org/abs/2011.10235v1

    • [cs.LG]Graph Signal Recovery Using Restricted Boltzmann Machines
    Ankith Mohan, Aiichiro Nakano, Emilio Ferrara
    http://arxiv.org/abs/2011.10549v1

    • [cs.LG]Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
    Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh
    http://arxiv.org/abs/2011.10144v1

    • [cs.LG]Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks
    Arnaud Fanthomme, Rémi Monasson
    http://arxiv.org/abs/2011.10435v1

    • [cs.LG]PSD2 Explainable AI Model for Credit Scoring
    Neus Llop Torrent, Giorgio Visani, Enrico Bagli
    http://arxiv.org/abs/2011.10367v1

    • [cs.LG]Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon
    Ben Hambly, Renyuan Xu, Huining Yang
    http://arxiv.org/abs/2011.10300v1

    • [cs.LG]Provable Multi-Objective Reinforcement Learning with Generative Models
    Dongruo Zhou, Jiahao Chen, Quanquan Gu
    http://arxiv.org/abs/2011.10134v1

    • [cs.LG]Sequential Targeting: an incremental learning approach for data imbalance in text classification
    Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh
    http://arxiv.org/abs/2011.10216v1

    • [cs.LG]StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
    Yinan Wang, Diane Oyen, Weihong, Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
    http://arxiv.org/abs/2011.10227v1

    • [cs.LG]Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
    Leonid Mill, David Wolff, Nele Gerrits, Patrick Philipp, Lasse Kling, Florian Vollnhals, Andrew Ignatenko, Christian Jaremenko, Yixing Huang, Olivier De Castro, Jean-Nicolas Audinot, Inge Nelissen, Tom Wirtz, Andreas Maier, Silke Christiansen
    http://arxiv.org/abs/2011.10505v1

    • [cs.LG]Towards Building a Robust and Fair Federated Learning System
    Xinyi Xu, Lingjuan Lyu
    http://arxiv.org/abs/2011.10464v1

    • [cs.LG]Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat
    Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu
    http://arxiv.org/abs/2011.10254v1

    • [cs.NE]CSCF: a chaotic sine cosine firefly Algorithm for practical application problems
    Bryar A. Hassan
    http://arxiv.org/abs/2011.10283v1

    • [cs.NE]Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay
    Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
    http://arxiv.org/abs/2011.10520v1

    • [cs.NE]Temporal Surrogate Back-propagation for Spiking Neural Networks
    Yukun Yang
    http://arxiv.org/abs/rg/abs/2011.09964v1

    • [cs.NI]Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility
    Konstantinos Kousias, Apostolos Pappas, Ozgu Alay, Antonios Argyriou, Michael Riegler
    http://arxiv.org/abs/2011.10563v1

    • [cs.RO]Accelerating Probabilistic Volumetric Mapping using Ray-Tracing Graphics Hardware
    Heajung Min, Kyung Min Han, Young J. Kim
    http://arxiv.org/abs/2011.10348v1

    • [cs.RO]Analytic Bipedal Walking with Fused Angles and Corrective Actions in the Tilt Phase Space
    Philipp Allgeuer
    http://arxiv.org/abs/2011.10339v1

    • [cs.RO]Bridging Scene Understanding and Task Execution with Flexible Simulation Environments
    Zachary Ravichandran, J. Daniel Griffith, Benjamin Smith, Costas Frost
    http://arxiv.org/abs/2011.10452v1

    • [cs.RO]CLIPPER: A Graph-Theoretic Framework for Robust Data Association
    Parker C. Lusk, Kaveh Fathian, Jonathan P. How
    http://arxiv.org/abs/2011.10202v1

    • [cs.RO]FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds
    Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin
    http://arxiv.org/abs/2011.10174v1

    • [cs.RO]Learning Synthetic to Real Transfer for Localization and Navigational Tasks
    Pietrantoni Maxime, Chidlovskii Boris, Silander Tomi
    http://arxiv.org/abs/2011.10274v1

    • [cs.RO]Lidar-based exploration and discretization for mobile robot planning
    Yuxiao Chen, Andrew Singletary, Aaron D. Ames
    http://arxiv.org/abs/2011.10066v1

    • [cs.RO]Planning Folding Motion with Simulation in the Loop Using Laser Forming Origami and Thermal Behaviors as an Example
    Yue Hao, Weilin Guan, Edwin A Peraza Hernandez, Jyh-Ming Lien
    http://arxiv.org/abs/2011.10508v1

    • [cs.RO]Probabilistic Radio-Visual Active Sensing for Search and Tracking
    L. Varotto, A. Cenedese, A. Cavallaro
    http://arxiv.org/abs/2011.10474v1

    • [cs.RO]Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
    Yongqiang Huang, Juan Wilches, Yu Sun
    http://arxiv.org/abs/2011.10150v1

    • [cs.RO]Simulation-based Testing for Early Safety-Validation of Robot Systems
    Tom P. Huck, Christoph Ledermann, Torsten Kröger
    http://arxiv.org/abs/2011.10294v1

    • [cs.RO]Utilizing ROS 1 and the Turtlebot3 in a Multi-Robot System
    Corey Williams, Adam Schroeder
    http://arxiv.org/abs/2011.10488v1

    • [cs.SI]Exploring the political pulse of a country using data science tools
    Miguel G. Folgado, Verónica Sanz
    http://arxiv.org/abs/2011.10264v1

    • [cs.SI]Time-Series Snapshot Network as A New Model for Role Recommendation in OSS
    Jinyin Chen, Yunyi Xie, Jian Zhang, Xincheng Shu, Qi Xuan
    http://arxiv.org/abs/2011.09883v2

    • [eess.IV]Discriminative Localized Sparse Representations for Breast Cancer Screening
    Sokratis Makrogiannis, Chelsea E. Harris, Keni Zheng
    http://arxiv.org/abs/2011.10201v1

    • [eess.IV]Edge Adaptive Hybrid Regularization Model For Image Deblurring
    Jie Chen, Tingting Zhang, Tieyong Zeng, Qiyu Jin
    http://arxiv.org/abs/2011.10260v1

    • [eess.IV]Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
    Nicolas Ewen, Naimul Khan
    http://arxiv.org/abs/2011.10188v1

    • [eess.SP]Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy
    Grigorios G. Anagnostopoulos, Alexandros Kalousis
    http://arxiv.org/abs/2011.10478v1

    • [eess.SY]MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
    Anubhav Guha, Anuradha Annaswamy
    http://arxiv.org/abs/2011.10562v1

    • [math.OC]Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty
    El-Ghazali Talbi, Raca Todosijevic
    http://arxiv.org/abs/2011.10341v1

    • [math.ST]Functional central limit theorems for stick-breaking priors
    Yaozhong Hu, Junxi Zhang
    http://arxiv.org/abs/2011.10138v1

    • [math.ST]Nonparametric instrumental regression with right censored duration outcomes
    Jad Beyhum, Jean-Pierre FLorens, Ingrid Van Keilegom
    http://arxiv.org/abs/2011.10423v1

    • [physics.geo-ph]Seismic Facies Analysis: A Deep Domain Adaptation Approach
    M Quamer Nasim, Tannistha Maiti, Ayush Shrivastava, Tarry Singh, Jie Mei
    http://arxiv.org/abs/2011.10510v1

    • [q-bio.MN]Computation capacities of a broad class of signaling networks are higher than their communication capacities
    Iman Habibi, Effat S Emamian, Osvaldo Simeone, Ali Abdi
    http://arxiv.org/abs/2011.10529v1

    • [quant-ph]On barren plateaus and cost function locality in variational quantum algorithms
    Alexey Uvarov, Jacob Biamonte
    http://arxiv.org/abs/2011.10530v1

    • [stat.AP]Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis
    Rowan Iskandar
    http://arxiv.org/abs/2011.10398v1

    • [stat.ME]Computation and application of generalized linear mixed model derivatives using lme4
    Ting Wang, Benjamin Graves, Yves Rosseel, Edgar C. Merkle
    http://arxiv.org/abs/2011.10414v1

    • [stat.ME]Detecting systematic anomalies affecting systems when inputs are stationary time series
    Ning Sun, Chen Yang, Ricardas Zitikis
    http://arxiv.org/abs/2011.10195v1

    • [stat.ME]Finding and assessing treatment effect sweet spots in clinical trial data
    Erin Craig, Donald A Redelmeier, Robert J Tibshirani
    http://arxiv.org/abs/2011.10157v1

    • [stat.ME]Reconstruct Kaplan—Meier Estimator as M-estimator and Its Confidence Band
    Jiaqi Gu, Yiwei Fan, Guosheng Yin
    http://arxiv.org/abs/2011.10240v1

    • [stat.ME]Scale estimation and data-driven tuning constant selection for M-quantile regression
    James Dawber, Nicola Salvati, Timo Schmid, Nikos Tzavidis
    http://arxiv.org/abs/2011.10522v1

    • [stat.ML]Anderson acceleration of coordinate descent
    Quentin Bertrand, Mathurin Massias
    http://arxiv.org/abs/2011.10065v1

    • [stat.ML]Gradient Regularisation as Approximate Variational Inference
    Ali Unlu, Laurence Aitchison
    http://arxiv.org/abs/2011.10443v1

    • [stat.ML]Meta-Learning for Time Series Forecasting Ensemble
    Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris
    http://arxiv.org/abs/2011.10545v1

    • [stat.ML]Normalization effects on shallow neural networks and related asymptotic expansions
    Jiahui Yu, Konstantinos Spiliopoulos
    http://arxiv.org/abs/2011.10487v1

    • [stat.ML]On the coercivity condition in the learning of interacting particle systems
    Zhongyang Li, Fei Lu
    http://arxiv.org/abs/2011.10480v1

    • [stat.ML]Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters
    Ryan Burn
    http://arxiv.org/abs/2011.10218v1