astro-ph.EP - 地球与行星天体

    astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.stat-mech - 统计数学 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.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AC - 交换代数 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.optics - 光学 q-bio.TO - 组织和器官 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.EP]Searching for Possible Exoplanet Transits from BRITE Data through a Machine Learning Technique
    • [astro-ph.IM]Development of Techniques Enabling Suborbital Small Object Capture Around Low Gravity Asteroids
    • [cond-mat.stat-mech]Generative Neural Samplers for the Quantum Heisenberg Chain
    • [cs.AI]Hierarchical principles of embodied reinforcement learning: A review
    • [cs.AI]Predicting Decisions in Language Based Persuasion Games
    • [cs.AI]Reconstructing a single-head formula to facilitate logical forgetting
    • [cs.AI]Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks
    • [cs.AI]Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
    • [cs.CL]A Benchmark Arabic Dataset for Commonsense Explanation
    • [cs.CL]AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text
    • [cs.CL]An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020
    • [cs.CL]Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
    • [cs.CL]Benchmarking Automatic Detection of Psycholinguistic Characteristics for Better Human-Computer Interaction
    • [cs.CL]Can Transformers Reason About Effects of Actions?
    • [cs.CL]Deep Open Intent Classification with Adaptive Decision Boundary
    • [cs.CL]Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
    • [cs.CL]HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
    • [cs.CL]Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
    • [cs.CL]Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets
    • [cs.CL]Mention Extraction and Linking for SQL Query Generation
    • [cs.CL]Named Entity Recognition in the Legal Domain using a Pointer Generator Network
    • [cs.CL]NeurST: Neural Speech Translation Toolkit
    • [cs.CL]ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS
    • [cs.CL]Regularized Attentive Capsule Network for Overlapped Relation Extraction
    • [cs.CL]Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes
    • [cs.CL]Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
    • [cs.CL]Understood in Translation, Transformers for Domain Understanding
    • [cs.CR]Data Storage in the Decentralized World: Blockchain and Derivatives
    • [cs.CR]Identification of Metallic Objects using Spectral MPT Signatures: Object Characterisation and Invariants
    • [cs.CV]3D Object Classification on Partial Point Clouds: A Practical Perspective
    • [cs.CV]A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection
    • [cs.CV]AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition
    • [cs.CV]Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
    • [cs.CV]Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion
    • [cs.CV]CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
    • [cs.CV]Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
    • [cs.CV]Flow-based Generative Models for Learning Manifold to Manifold Mappings
    • [cs.CV]Frequency Consistent Adaptation for Real World Super Resolution
    • [cs.CV]Hyperspectral Image Semantic Segmentation in Cityscapes
    • [cs.CV]LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
    • [cs.CV]Learning Complex 3D Human Self-Contact
    • [cs.CV]Object Detection based on OcSaFPN in Aerial Images with Noise
    • [cs.CV]Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
    • [cs.CV]On Modality Bias in the TVQA Dataset
    • [cs.CV]PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
    • [cs.CV]PointINet: Point Cloud Frame Interpolation Network
    • [cs.CV]Relightable 3D Head Portraits from a Smartphone Video
    • [cs.CV]SCNet: Training Inference Sample Consistency for Instance Segmentation
    • [cs.CV]STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
    • [cs.CV]SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
    • [cs.CV]Self-supervised Learning with Fully Convolutional Networks
    • [cs.CV]TDN: Temporal Difference Networks for Efficient Action Recognition
    • [cs.CV]Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates
    • [cs.CV]Toward Transformer-Based Object Detection
    • [cs.CV]Trying Bilinear Pooling in Video-QA
    • [cs.CY]Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies
    • [cs.CY]TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
    • [cs.DC]On Finality in Blockchains
    • [cs.DC]Parallel Implementation of Distributed Global Optimization (DGO)
    • [cs.DC]Partitionable Asynchronous Cryptocurrency Blockchain
    • [cs.DC]The Merchant: Avoiding Payment Channel Depletion through Incentives
    • [cs.GT]Achieving State Machine Replication without Honesty Assumptions
    • [cs.IR]Recommenders with a mission: assessing diversity in newsrecommendations
    • [cs.IR]Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews
    • [cs.IT]A Comparison of Distance Bounds for Quasi-Twisted Codes
    • [cs.IT]Individually Conditional Individual Mutual Information Bound on Generalization Error
    • [cs.IT]Reconfigurable Intelligent Surface Enhanced NOMA Assisted Backscatter Communication System
    • [cs.IT]Scaling Laws for Gaussian Random Many-Access Channels
    • [cs.IT]Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers
    • [cs.LG]A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks
    • [cs.LG]An Experimental Study of the Transferability of Spectral Graph Networks
    • [cs.LG]Application of computer simulation results and machine learning in analysis of microwave radiothermometry data
    • [cs.LG]Classification with Strategically Withheld Data
    • [cs.LG]EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
    • [cs.LG]Efficient Training of Robust Decision Trees Against Adversarial Examples
    • [cs.LG]Exact Reduction of Huge Action Spaces in General Reinforcement Learning
    • [cs.LG]Fair for All: Best-effort Fairness Guarantees for Classification
    • [cs.LG]Fairness and Accuracy in Federated Learning
    • [cs.LG]Learning from History for Byzantine Robust Optimization
    • [cs.LG]Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
    • [cs.LG]Multi-characteristic Subject Selection from Biased Datasets
    • [cs.LG]On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
    • [cs.LG]ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
    • [cs.LG]Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
    • [cs.LG]Separation and Concentration in Deep Networks
    • [cs.LG]Small Business Classification By Name: Addressing Gender and Geographic Origin Biases
    • [cs.LG]Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
    • [cs.LG]Spacecraft Collision Risk Assessment with Probabilistic Programming
    • [cs.LG]The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems
    • [cs.LG]Towards Robust Explanations for Deep Neural Networks
    • [cs.LG]Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices
    • [cs.LG]Universal Approximation in Dropout Neural Networks
    • [cs.LG]Upper and Lower Bounds on the Performance of Kernel PCA
    • [cs.LG]Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components
    • [cs.RO]Crowd-Driven Mapping, Localization and Planning
    • [cs.RO]Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems
    • [cs.RO]Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds
    • [cs.SE]Neural Network Embeddings for Test Case Prioritization
    • [cs.SI]An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media
    • [cs.SI]Binomial Tails for Community Analysis
    • [cs.SI]Network Robustness via Global k-cores
    • [cs.SI]Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All andTwo-Faction Networks
    • [cs.SI]YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
    • [eess.AS]End-to-End Speaker Diarization as Post-Processing
    • [eess.AS]Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
    • [eess.IV]Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer’s disease
    • [eess.IV]Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation
    • [eess.IV]Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution
    • [eess.SP]Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
    • [math.AC]The dual of an evaluation code
    • [math.OC]Instance Space Analysis for the Car Sequencing Problem
    • [math.OC]Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems
    • [math.ST]Local Dvoretzky-Kiefer-Wolfowitz confidence bands
    • [math.ST]Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues
    • [math.ST]On the density estimation problem for uncertainty propagation with unknown input distributions
    • [math.ST]On the distribution of scrambled $(0,m,s)$-nets over unanchored boxes
    • [physics.ao-ph]Investigating the Ground-level Ozone Formation and Future Trend in Taiwan
    • [physics.optics]Deep learning and high harmonic generation
    • [q-bio.TO]Prediction of brain strain across head impact subtypes using 18 brain injury criteria
    • [q-fin.TR]Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
    • [quant-ph]When Machine Learning Meets Quantum Computers: A Case Study
    • [stat.ME]A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering
    • [stat.ME]Bayesian nonparametric panel Markov-switching GARCH models
    • [stat.ME]Classification Under Uncertainty: Data Analysis for Diagnostic Antibody Testing
    • [stat.ME]Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
    • [stat.ME]Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach
    • [stat.ME]Interpretable Model Summaries Using the Wasserstein Distance
    • [stat.ME]Multi-outcome trials with a generalised number of efficacious outcomes
    • [stat.ME]Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
    • [stat.ME]Nonparametric multimodal regression for circular data
    • [stat.ME]Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance
    • [stat.ME]Regularized Estimation in High-Dimensional Vector Auto-Regressive Models using Spatio-Temporal Information
    • [stat.ME]Statistical Properties of Exclusive and Non-exclusive Online Randomized Experiments using Bucket Reuse
    • [stat.ME]Tutorial: Introduction to computational causal inference for applied researchers and epidemiologists using reproducible Stata code with translations to R and Python
    • [stat.ML]Adversarially Robust Estimate and Risk Analysis in Linear Regression
    • [stat.ML]Artificial Neural Networks to Impute Rounded Zeros in Compositional Data
    • [stat.ML]Convergence dynamics of Generative Adversarial Networks: the dual metric flows
    • [stat.ML]Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
    • [stat.ML]Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
    • [stat.ML]MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
    • [stat.ML]Research Reproducibility as a Survival Analysis
    • [stat.ML]Stable Implementation of Probabilistic ODE Solvers

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    • [astro-ph.EP]Searching for Possible Exoplanet Transits from BRITE Data through a Machine Learning Technique
    Li-Chin Yeh, Ing-Guey Jiang
    http://arxiv.org/abs/2012.10035v1

    • [astro-ph.IM]Development of Techniques Enabling Suborbital Small Object Capture Around Low Gravity Asteroids
    Leonard Vance, Jekan Thangavelautham
    http://arxiv.org/abs/2012.10329v1

    • [cond-mat.stat-mech]Generative Neural Samplers for the Quantum Heisenberg Chain
    Johanna Vielhaben, Nils Strodthoff
    http://arxiv.org/abs/2012.10264v1

    • [cs.AI]Hierarchical principles of embodied reinforcement learning: A review
    Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter
    http://arxiv.org/abs/2012.10147v1

    • [cs.AI]Predicting Decisions in Language Based Persuasion Games
    Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz
    http://arxiv.org/abs/2012.09966v1

    • [cs.AI]Reconstructing a single-head formula to facilitate logical forgetting
    Paolo Liberatore
    http://arxiv.org/abs/2012.10191v1

    • [cs.AI]Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks
    Kieran Browne, Ben Swift
    http://arxiv.org/abs/2012.10076v1

    • [cs.AI]Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
    Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
    http://arxiv.org/abs/2012.10171v1

    • [cs.CL]A Benchmark Arabic Dataset for Commonsense Explanation
    Saja AL-Tawalbeh, Mohammad AL-Smadi
    http://arxiv.org/abs/2012.10251v1

    • [cs.CL]AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text
    Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang
    http://arxiv.org/abs/2012.10235v1

    • [cs.CL]An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020
    Pham Quang Nhat Minh
    http://arxiv.org/abs/2012.10275v1

    • [cs.CL]Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
    Xiong Liu, Luca A. Finelli, Greg L. Hersch, Iya Khalil
    http://arxiv.org/abs/2012.10063v1

    • [cs.CL]Benchmarking Automatic Detection of Psycholinguistic Characteristics for Better Human-Computer Interaction
    Sanja Štajner, Seren Yenikent, Marc Franco-Salvador
    http://arxiv.org/abs/2012.09692v2

    • [cs.CL]Can Transformers Reason About Effects of Actions?
    Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Pal, Tran C. Son, Neeraj Varshney
    http://arxiv.org/abs/2012.09938v1

    • [cs.CL]Deep Open Intent Classification with Adaptive Decision Boundary
    Hanlei Zhang, Hua Xu, Ting-En Lin
    http://arxiv.org/abs/2012.10209v1

    • [cs.CL]Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
    Jerry Zikun Chen, Shi Yu, Haoran Wang
    http://arxiv.org/abs/2012.10033v1

    • [cs.CL]HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
    Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee
    http://arxiv.org/abs/2012.10289v1

    • [cs.CL]Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
    Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cicero Nogueira dos Santos, Bing Xiang
    http://arxiv.org/abs/2012.10309v1

    • [cs.CL]Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets
    Ayush Kaushal, Tejas Vaidhya
    http://arxiv.org/abs/2012.10052v1

    • [cs.CL]Mention Extraction and Linking for SQL Query Generation
    Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen
    http://arxiv.org/abs/2012.10074v1

    • [cs.CL]Named Entity Recognition in the Legal Domain using a Pointer Generator Network
    Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman
    http://arxiv.org/abs/2012.09936v1

    • [cs.CL]NeurST: Neural Speech Translation Toolkit
    Chengqi Zhao, Mingxuan Wang, Lei Li
    http://arxiv.org/abs/2012.10018v1

    • [cs.CL]ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS
    Nguyen Manh Duc Tuan, Pham Quang Nhat Minh
    http://arxiv.org/abs/2012.10267v1

    • [cs.CL]Regularized Attentive Capsule Network for Overlapped Relation Extraction
    Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao
    http://arxiv.org/abs/2012.10187v1

    • [cs.CL]Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes
    Mana Iwata, Yoshiro Matsuda, Yoshimasa Utsumi, Yoshitoshi Tanaka, Kazuhide Nakata
    http://arxiv.org/abs/2012.10120v1

    • [cs.CL]Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
    Tian Lan, Xian-Ling Mao, Xiaoyan Gao, Wei Wei, Heyan Huang
    http://arxiv.org/abs/2012.09647v2

    • [cs.CL]Understood in Translation, Transformers for Domain Understanding
    Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck
    http://arxiv.org/abs/2012.10271v1

    • [cs.CR]Data Storage in the Decentralized World: Blockchain and Derivatives
    E. Karaarslan, E. Konacaklı
    http://arxiv.org/abs/2012.10253v1

    • [cs.CR]Identification of Metallic Objects using Spectral MPT Signatures: Object Characterisation and Invariants
    P. D. Ledger, B. A. Wilson, A. A. S. Amad, W. R. B. Lionheart
    http://arxiv.org/abs/2012.10376v1

    • [cs.CV]3D Object Classification on Partial Point Clouds: A Practical Perspective
    Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia
    http://arxiv.org/abs/2012.10042v1

    • [cs.CV]A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection
    Jianbo Liu, Sijie Ren, Yuanjie Zheng, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/2012.10162v1

    • [cs.CV]AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition
    Kai Wang, Yuxin Gu, Xiaojiang Peng, Baigui Sun, Hao Li
    http://arxiv.org/abs/2012.10078v1

    • [cs.CV]Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
    Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato
    http://arxiv.org/abs/2012.10355v1

    • [cs.CV]Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion
    Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkila
    http://arxiv.org/abs/2012.10296v1

    • [cs.CV]CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
    Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang
    http://arxiv.org/abs/2012.10133v1

    • [cs.CV]Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
    Peter Schaldenbrand, Jean Oh
    http://arxiv.org/abs/2012.10043v1

    • [cs.CV]Flow-based Generative Models for Learning Manifold to Manifold Mappings
    Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
    http://arxiv.org/abs/2012.10013v1

    • [cs.CV]Frequency Consistent Adaptation for Real World Super Resolution
    Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang
    http://arxiv.org/abs/2012.10102v1

    • [cs.CV]Hyperspectral Image Semantic Segmentation in Cityscapes
    Yuxing Huang, Erqi Huang, Linsen Chen, Shaodi You, Ying Fu, Qiu Shen
    http://arxiv.org/abs/2012.10122v1

    • [cs.CV]LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
    Yaping Lin, George Vosselman, Yanpeng Cao, Michael Ying Yang
    http://arxiv.org/abs/2012.10192v1

    • [cs.CV]Learning Complex 3D Human Self-Contact
    Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu
    http://arxiv.org/abs/2012.10366v1

    • [cs.CV]Object Detection based on OcSaFPN in Aerial Images with Noise
    Chengyuan Li, Jun Liu, Hailong Hong, Wenju Mao, Chenjie Wang, Chudi Hu, Xin Su, Bin Luo
    http://arxiv.org/abs/2012.09859v1

    • [cs.CV]Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
    Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Artsiom Ablavatski, Matthias Grundmann
    http://arxiv.org/abs/2012.09988v1

    • [cs.CV]On Modality Bias in the TVQA Dataset
    Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
    http://arxiv.org/abs/2012.10210v1

    • [cs.CV]PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
    Yanan Zhang, Di Huang, Yunhong Wang
    http://arxiv.org/abs/2012.10412v1

    • [cs.CV]PointINet: Point Cloud Frame Interpolation Network
    Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois Knoll
    http://arxiv.org/abs/2012.10066v1

    • [cs.CV]Relightable 3D Head Portraits from a Smartphone Video
    Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky
    http://arxiv.org/abs/2012.09963v1

    • [cs.CV]SCNet: Training Inference Sample Consistency for Instance Segmentation
    Thang Vu, Haeyong Kang, Chang D. Yoo
    http://arxiv.org/abs/2012.10150v1

    • [cs.CV]STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
    Mingjie Wang, Hao Cai, Xianfeng Han, Jun Zhou, Minglun Gong
    http://arxiv.org/abs/2012.10189v1

    • [cs.CV]SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
    An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2012.10217v1

    • [cs.CV]Self-supervised Learning with Fully Convolutional Networks
    Zhengeng Yang, Hongshan Yu, Yong He, Zhi-Hong Mao, Ajmal Mian
    http://arxiv.org/abs/2012.10017v1

    • [cs.CV]TDN: Temporal Difference Networks for Efficient Action Recognition
    Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu
    http://arxiv.org/abs/2012.10071v1

    • [cs.CV]Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates
    Feiyan Hu, Eva Mohedano, Noel O’Connor, Kevin McGuinness
    http://arxiv.org/abs/2012.10283v1

    • [cs.CV]Toward Transformer-Based Object Detection
    Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk
    http://arxiv.org/abs/2012.09958v1

    • [cs.CV]Trying Bilinear Pooling in Video-QA
    Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
    http://arxiv.org/abs/2012.10285v1

    • [cs.CY]Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies
    Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent Hecht
    http://arxiv.org/abs/2012.09995v1

    • [cs.CY]TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
    Elias Grünewald, Frank Pallas
    http://arxiv.org/abs/2012.10431v1

    • [cs.DC]On Finality in Blockchains
    Emmanuelle Anceaume, Antonella Pozzo, Thibault Rieutord, Sara Tucci-Piergiovanni
    http://arxiv.org/abs/2012.10172v1

    • [cs.DC]Parallel Implementation of Distributed Global Optimization (DGO)
    Homayoun Valafar, Okan K. Ersoy, Farmaraz Valafar
    http://arxiv.org/abs/2012.09861v1

    • [cs.DC]Partitionable Asynchronous Cryptocurrency Blockchain
    Kendric Hood, Joseph Oglio, Mikhail Nesterenko, Gokarna Sharma
    http://arxiv.org/abs/2012.10413v1

    • [cs.DC]The Merchant: Avoiding Payment Channel Depletion through Incentives
    Yuup van Engelshoven, Stefanie Roos
    http://arxiv.org/abs/2012.10280v1

    • [cs.GT]Achieving State Machine Replication without Honesty Assumptions
    Conor McMenamin, Vanesa Daza, Matteo Pontecorvi
    http://arxiv.org/abs/2012.10146v1

    • [cs.IR]Recommenders with a mission: assessing diversity in newsrecommendations
    Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui, Judith Möller, Daan Odijk, Natali Helberger
    http://arxiv.org/abs/2012.10185v1

    • [cs.IR]Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews
    Omkar Gurjar, Manish Gupta
    http://arxiv.org/abs/2012.10226v1

    • [cs.IT]A Comparison of Distance Bounds for Quasi-Twisted Codes
    Martianus Frederic Ezerman, John Mark Lampos, San Ling, Buket Ozkaya, Jareena Tharnnukhroh
    http://arxiv.org/abs/2012.10081v1

    • [cs.IT]Individually Conditional Individual Mutual Information Bound on Generalization Error
    Ruida Zhou, Chao Tian, Tie Liu
    http://arxiv.org/abs/2012.09922v1

    • [cs.IT]Reconfigurable Intelligent Surface Enhanced NOMA Assisted Backscatter Communication System
    Jiakuo Zuo, Yuanwei Liu, Liang Yang, Lingyang Song, Ying-Chang Liang
    http://arxiv.org/abs/2012.10111v1

    • [cs.IT]Scaling Laws for Gaussian Random Many-Access Channels
    Jithin Ravi, Tobias Koch
    http://arxiv.org/abs/2012.10350v1

    • [cs.IT]Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers
    Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua
    http://arxiv.org/abs/2012.09952v1

    • [cs.LG]A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks
    Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail Bragin, Caiwen Ding, Fei Miao
    http://arxiv.org/abs/2012.10079v1

    • [cs.LG]An Experimental Study of the Transferability of Spectral Graph Networks
    Axel Nilsson, Xavier Bresson
    http://arxiv.org/abs/2012.10258v1

    • [cs.LG]Application of computer simulation results and machine learning in analysis of microwave radiothermometry data
    Maxim Polyakov, Illarion Popov, Alexander Losev, Alexander Khoperskov
    http://arxiv.org/abs/2012.10343v1

    • [cs.LG]Classification with Strategically Withheld Data
    Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer
    http://arxiv.org/abs/2012.10203v1

    • [cs.LG]EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
    Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun
    http://arxiv.org/abs/2012.10020v1

    • [cs.LG]Efficient Training of Robust Decision Trees Against Adversarial Examples
    Daniël Vos, Sicco Verwer
    http://arxiv.org/abs/2012.10438v1

    • [cs.LG]Exact Reduction of Huge Action Spaces in General Reinforcement Learning
    Sultan Javed Majeed, Marcus Hutter
    http://arxiv.org/abs/2012.10200v1

    • [cs.LG]Fair for All: Best-effort Fairness Guarantees for Classification
    Anilesh K. Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala
    http://arxiv.org/abs/2012.10216v1

    • [cs.LG]Fairness and Accuracy in Federated Learning
    Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang
    http://arxiv.org/abs/2012.10069v1

    • [cs.LG]Learning from History for Byzantine Robust Optimization
    Sai Praneeth Karimireddy, Lie He, Martin Jaggi
    http://arxiv.org/abs/2012.10333v1

    • [cs.LG]Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
    Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
    http://arxiv.org/abs/2012.10024v1

    • [cs.LG]Multi-characteristic Subject Selection from Biased Datasets
    Tahereh Arabghalizi, Alexandros Labrinidis
    http://arxiv.org/abs/2012.10311v1

    • [cs.LG]On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
    Sifan Wang, Hanwen Wang, Paris Perdikaris
    http://arxiv.org/abs/2012.10047v1

    • [cs.LG]ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
    Jinyin Chen, Zhen Wang, Haibin Zheng, Jun Xiao, Zhaoyan Ming
    http://arxiv.org/abs/2012.10282v1

    • [cs.LG]Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
    Zhao Wang, Aron Culotta
    http://arxiv.org/abs/2012.10040v1

    • [cs.LG]Separation and Concentration in Deep Networks
    John Zarka, Florentin Guth, Stéphane Mallat
    http://arxiv.org/abs/2012.10424v1

    • [cs.LG]Small Business Classification By Name: Addressing Gender and Geographic Origin Biases
    Daniel Shapiro
    http://arxiv.org/abs/2012.10348v1

    • [cs.LG]Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
    Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov, Aleksei Shpilman
    http://arxiv.org/abs/2012.10335v1

    • [cs.LG]Spacecraft Collision Risk Assessment with Probabilistic Programming
    Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atılım Güneş Baydin
    http://arxiv.org/abs/2012.10260v1

    • [cs.LG]The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems
    Masha Medvedeva, Martijn Wieling, Michel Vols
    http://arxiv.org/abs/2012.10301v1

    • [cs.LG]Towards Robust Explanations for Deep Neural Networks
    Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
    http://arxiv.org/abs/2012.10425v1

    • [cs.LG]Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices
    Karthik Bhat, Manan Bhandari, ChangSeok Oh, Sujin Kim, Jeeho Yoo
    http://arxiv.org/abs/2012.10056v1

    • [cs.LG]Universal Approximation in Dropout Neural Networks
    Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda
    http://arxiv.org/abs/2012.10351v1

    • [cs.LG]Upper and Lower Bounds on the Performance of Kernel PCA
    Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
    http://arxiv.org/abs/2012.10369v1

    • [cs.LG]Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components
    Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
    http://arxiv.org/abs/2012.10140v1

    • [cs.RO]Crowd-Driven Mapping, Localization and Planning
    Tingxiang Fan, Dawei Wang, Wenxi Liu, Jia Pan
    http://arxiv.org/abs/2012.10099v1

    • [cs.RO]Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems
    Chendi Lin, Wenhao Luo, Katia Sycara
    http://arxiv.org/abs/2012.10008v1

    • [cs.RO]Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds
    Yanran Ding, Abhishek Pandala, Chuanzheng Li, Young-Ha Shin, Hae-Won Park
    http://arxiv.org/abs/2012.10002v1

    • [cs.SE]Neural Network Embeddings for Test Case Prioritization
    João Lousada, Miguel Ribeiro
    http://arxiv.org/abs/2012.10154v1

    • [cs.SI]An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media
    Cong Tran, Dung D. Vu, Won-Yong Shin
    http://arxiv.org/abs/2012.09990v1

    • [cs.SI]Binomial Tails for Community Analysis
    Omid Madani, Thanh Ngo, Weifei Zeng, Sai Ankith Averine, Sasidhar Evuru, Varun Malhotra, Shashidhar Gandham, Navindra Yadav
    http://arxiv.org/abs/2012.09968v1

    • [cs.SI]Network Robustness via Global k-cores
    Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva
    http://arxiv.org/abs/2012.10036v1

    • [cs.SI]Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All andTwo-Faction Networks
    Wenjun Mei, Ge Chen, Noah E. Friedkin, Florian Dörfler
    http://arxiv.org/abs/2012.10151v1

    • [cs.SI]YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
    Manoel Horta Ribeiro, Robert West
    http://arxiv.org/abs/2012.10378v1

    • [eess.AS]End-to-End Speaker Diarization as Post-Processing
    Shota Horiguchi, Paola Garcia, Yusuke Fujita, Shinji Watanabe, Kenji Nagamatsu
    http://arxiv.org/abs/2012.10055v1

    • [eess.AS]Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
    David Peter, Wolfgang Roth, Franz Pernkopf
    http://arxiv.org/abs/2012.10138v1

    • [eess.IV]Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer’s disease
    Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John D. Haynes, Michael T. Heneka, Daniel Janowitz, Deniz Baris Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc-André Weber, Birgit Ertl-Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen, Stefan J. Teipel
    http://arxiv.org/abs/2012.10294v1

    • [eess.IV]Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation
    José Morano, Álvaro S. Hervella, Noelia Barreira, Jorge Novo, José Rouco
    http://arxiv.org/abs/2012.10160v1

    • [eess.IV]Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution
    Hironori Hidaka, Yusuke Monno, Masatoshi Okutomi
    http://arxiv.org/abs/2012.10083v1

    • [eess.SP]Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
    Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta
    http://arxiv.org/abs/2012.10034v1

    • [math.AC]The dual of an evaluation code
    Hiram H. López, Ivan Soprunov, Rafael H. Villarreal
    http://arxiv.org/abs/2012.10016v1

    • [math.OC]Instance Space Analysis for the Car Sequencing Problem
    Yuan Sun, Samuel Esler, Dhananjay Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan
    http://arxiv.org/abs/2012.10053v1

    • [math.OC]Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems
    Alberto Bemporad, Gionata Cimini
    http://arxiv.org/abs/2012.10423v1

    • [math.ST]Local Dvoretzky-Kiefer-Wolfowitz confidence bands
    Maillard Odalric-Ambrym
    http://arxiv.org/abs/2012.10320v1

    • [math.ST]Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues
    Joshua Agterberg, Minh Tang, Carey Priebe
    http://arxiv.org/abs/2012.09828v2

    • [math.ST]On the density estimation problem for uncertainty propagation with unknown input distributions
    Sebastian Kersting, Michael Kohler
    http://arxiv.org/abs/2012.10113v1

    • [math.ST]On the distribution of scrambled $(0,m,s)$-nets over unanchored boxes
    C. Lemieux, J. Wiart
    http://arxiv.org/abs/2012.10363v1

    • [physics.ao-ph]Investigating the Ground-level Ozone Formation and Future Trend in Taiwan
    Yu-Wen Chen, Sourav Medya, Yi-Chun Chen
    http://arxiv.org/abs/2012.10058v1

    • [physics.optics]Deep learning and high harmonic generation
    M. Lytova, M. Spanner, I. Tamblyn
    http://arxiv.org/abs/2012.10328v1

    • [q-bio.TO]Prediction of brain strain across head impact subtypes using 18 brain injury criteria
    Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alidazeh, Samuel J. Raymond, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael Zeineh, Gerald Grant
    http://arxiv.org/abs/2012.10006v1

    • [q-fin.TR]Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
    Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa
    http://arxiv.org/abs/2012.10215v1

    • [quant-ph]When Machine Learning Meets Quantum Computers: A Case Study
    Weiwen Jiang, Jinjun Xiong, Yiyu Shi
    http://arxiv.org/abs/2012.10360v1

    • [stat.ME]A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering
    Qing Mai, Xin Zhang, Yuqing Pan, Kai Deng
    http://arxiv.org/abs/2012.10032v1

    • [stat.ME]Bayesian nonparametric panel Markov-switching GARCH models
    Roberto Casarin, Mauro Costantini, Anthony Osuntuyi
    http://arxiv.org/abs/2012.10124v1

    • [stat.ME]Classification Under Uncertainty: Data Analysis for Diagnostic Antibody Testing
    Paul N. Patrone, Anthony J. Kearsley
    http://arxiv.org/abs/2012.10021v1

    • [stat.ME]Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
    Rungang Han, Yuetian Luo, Miaoyan Wang, Anru R. Zhang
    http://arxiv.org/abs/2012.09996v1

    • [stat.ME]Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach
    Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
    http://arxiv.org/abs/2012.10167v1

    • [stat.ME]Interpretable Model Summaries Using the Wasserstein Distance
    Eric Dunipace, Lorenzo Trippa
    http://arxiv.org/abs/2012.09999v1

    • [stat.ME]Multi-outcome trials with a generalised number of efficacious outcomes
    Martin Law, Michael J. Grayling, Adrian P. Mander
    http://arxiv.org/abs/2012.10194v1

    • [stat.ME]Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
    Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu
    http://arxiv.org/abs/2012.10009v1

    • [stat.ME]Nonparametric multimodal regression for circular data
    María Alonso-Pena, Rosa M. Crujeiras
    http://arxiv.org/abs/2012.09915v1

    • [stat.ME]Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance
    Carlos Llosa-Vite, Ranjan Maitra
    http://arxiv.org/abs/2012.10249v1

    • [stat.ME]Regularized Estimation in High-Dimensional Vector Auto-Regressive Models using Spatio-Temporal Information
    Zhenzhong Wang, Abolfazl Safikhani, Zhengyuan Zhu, David S. Matteson
    http://arxiv.org/abs/2012.10030v1

    • [stat.ME]Statistical Properties of Exclusive and Non-exclusive Online Randomized Experiments using Bucket Reuse
    Mårten Schultzberg, Oskar Kjellin, Johan Rydberg
    http://arxiv.org/abs/2012.10202v1

    • [stat.ME]Tutorial: Introduction to computational causal inference for applied researchers and epidemiologists using reproducible Stata code with translations to R and Python
    Matthew J. Smith, Camille Maringe, Bernard Rachet, Mohammad A. Mansournia, Paul N. Zivich, Stephen R. Cole, Miguel Angel Luque-Fernandez
    http://arxiv.org/abs/2012.09920v1

    • [stat.ML]Adversarially Robust Estimate and Risk Analysis in Linear Regression
    Yue Xing, Ruizhi Zhang, Guang Cheng
    http://arxiv.org/abs/2012.10278v1

    • [stat.ML]Artificial Neural Networks to Impute Rounded Zeros in Compositional Data
    Matthias Templ
    http://arxiv.org/abs/2012.10300v1

    • [stat.ML]Convergence dynamics of Generative Adversarial Networks: the dual metric flows
    Gabriel Turinici
    http://arxiv.org/abs/2012.10410v1

    • [stat.ML]Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
    Alejandro Schuler, David Walsh, Diana Hall, Jon Walsh, Charles Fisher
    http://arxiv.org/abs/2012.09935v1

    • [stat.ML]Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
    Rahul Singh
    http://arxiv.org/abs/2012.10315v1

    • [stat.ML]MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
    Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
    http://arxiv.org/abs/2012.10141v1

    • [stat.ML]Research Reproducibility as a Survival Analysis
    Edward Raff
    http://arxiv.org/abs/2012.09932v1

    • [stat.ML]Stable Implementation of Probabilistic ODE Solvers
    Nicholas Krämer, Philipp Hennig
    http://arxiv.org/abs/2012.10106v1