astro-ph.CO - 宇宙学和天体物理学

    cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.QM - 定量方法 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.CO]Reconstructing Patchy Reionization with Deep Learning
    • [cond-mat.dis-nn]Exact solution to the random sequential dynamics of a message passing algorithm
    • [cs.AI]Equality Saturation for Tensor Graph Superoptimization
    • [cs.AI]Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
    • [cs.AI]Modeling Global Semantics for Question Answering over Knowledge Bases
    • [cs.AI]On the Control of Attentional Processes in Vision
    • [cs.AI]Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
    • [cs.AI]Theory-based Habit Modeling for Enhancing Behavior Prediction
    • [cs.AR]High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers
    • [cs.CL]Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
    • [cs.CL]Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
    • [cs.CL]Evaluating Empathetic Chatbots in Customer Service Settings
    • [cs.CL]I-BERT: Integer-only BERT Quantization
    • [cs.CL]Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
    • [cs.CL]Local Translation Services for Neglected Languages
    • [cs.CL]On the interaction of automatic evaluation and task framing in headline style transfer
    • [cs.CL]PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
    • [cs.CL]Political Depolarization of News Articles Using Attribute-aware Word Embeddings
    • [cs.CL]Reddit Entity Linking Dataset
    • [cs.CL]Reinforcement Learning based Collective Entity Alignment with Adaptive Features
    • [cs.CL]Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling
    • [cs.CR]Practical Blind Membership Inference Attack via Differential Comparisons
    • [cs.CV]A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning
    • [cs.CV]An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
    • [cs.CV]CycleGAN for Interpretable Online EMT Compensation
    • [cs.CV]CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence
    • [cs.CV]Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors
    • [cs.CV]Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
    • [cs.CV]High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test
    • [cs.CV]Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark
    • [cs.CV]Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification
    • [cs.CV]Learning Accurate Dense Correspondences and When to Trust Them
    • [cs.CV]Learning from Synthetic Shadows for Shadow Detection and Removal
    • [cs.CV]Local Memory Attention for Fast Video Semantic Segmentation
    • [cs.CV]Local Propagation for Few-Shot Learning
    • [cs.CV]Look Twice: A Computational Model of Return Fixations across Tasks and Species
    • [cs.CV]Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
    • [cs.CV]Novel View Synthesis via Depth-guided Skip Connections
    • [cs.CV]Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming
    • [cs.CV]PointCutMix: Regularization Strategy for Point Cloud Classification
    • [cs.CV]Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
    • [cs.CV]Research on Fast Text Recognition Method for Financial Ticket Image
    • [cs.CV]Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
    • [cs.CV]Self-supervised Visual-LiDAR Odometry with Flip Consistency
    • [cs.CV]Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures
    • [cs.CV]Similarity Reasoning and Filtration for Image-Text Matching
    • [cs.CV]Spatial Attention Improves Iterative 6D Object Pose Estimation
    • [cs.CV]SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
    • [cs.CV]Support Vector Machine and YOLO for a Mobile Food Grading System
    • [cs.CV]Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
    • [cs.CV]VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
    • [cs.CV]WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
    • [cs.CY]A National Research Agenda for Intelligent Infrastructure: 2021 Update
    • [cs.CY]A Research Ecosystem for Secure Computing
    • [cs.CY]Advancing Computing’s Foundation of US Industry & Society
    • [cs.CY]Alleviating Vulnerabilities of the Possible Outbreaks of Measles: A Data Trend Analysis and Prediction of Possible Cases
    • [cs.CY]CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
    • [cs.CY]COVID-19 Tests Gone Rogue: Privacy, Efficacy,Mismanagement and Misunderstandings
    • [cs.CY]Computing Research Challenges in Next Generation Wireless Networking
    • [cs.CY]Modeling National Trends on Health in the Philippines Using ARIMA
    • [cs.CY]Post Quantum Cryptography: Readiness Challenges and the Approaching Storm
    • [cs.DB]A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
    • [cs.DB]Searching Personalized $k$-wing in Large and Dynamic Bipartite Graphs
    • [cs.DC]Differentially Private Distributed Computation via Public-Private Communication Networks
    • [cs.DC]Modeling the Linux page cache for accurate simulation of data-intensive applications
    • [cs.DC]Revisiting the Role of Coverings in Anonymous Networks: Spanning Tree Construction and Topology Recognition
    • [cs.DL]Detecting a network of hijacked journals by its archive
    • [cs.DS]SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
    • [cs.HC]”Brilliant AI Doctor” in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
    • [cs.HC]All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments
    • [cs.HC]Interpersonal distance in VR: reactions of older adults to the presence of a virtual agent
    • [cs.IR]Contrastive Learning for Recommender System
    • [cs.IT]A Splitting-Detection Joint-Decision Receiver for Ultrasonic Intra-Body Communications
    • [cs.IT]Algebraic Geometric Secret Sharing Schemes over Large Fields Are Asymptotically Threshold
    • [cs.IT]Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network
    • [cs.IT]Federated Learning for 6G: Applications, Challenges, and Opportunities
    • [cs.IT]Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
    • [cs.IT]Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks
    • [cs.IT]Tutorial I: Learning the Principles of Mobile Radio Propagation through Smartphone and CRFO
    • [cs.LG]A Linearly Convergent Algorithm for Distributed Principal Component Analysis
    • [cs.LG]A Survey on Embedding Dynamic Graphs
    • [cs.LG]A Trainable Reconciliation Method for Hierarchical Time-Series
    • [cs.LG]Adversarially trained LSTMs on reduced order models of urban air pollution simulations
    • [cs.LG]Analyzing movies to predict their commercial viability for producers
    • [cs.LG]Auto-Encoding Molecular Conformations
    • [cs.LG]Characterizing Intersectional Group Fairness with Worst-Case Comparisons
    • [cs.LG]Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data
    • [cs.LG]Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms
    • [cs.LG]GeCo: Quality Counterfactual Explanations in Real Time
    • [cs.LG]Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization
    • [cs.LG]Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
    • [cs.LG]Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection
    • [cs.LG]Learning Sign-Constrained Support Vector Machines
    • [cs.LG]Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
    • [cs.LG]Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
    • [cs.LG]On the price of explainability for some clustering problems
    • [cs.LG]One vs Previous and Similar Classes Learning — A Comparative Study
    • [cs.LG]Robust Maximum Entropy Behavior Cloning
    • [cs.LG]To do or not to do: cost-sensitive causal decision-making
    • [cs.LO]Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization
    • [cs.MM]End-to-End Video Question-Answer Generation with Generator-Pretester Network
    • [cs.RO]Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems
    • [cs.RO]Long-Term Autonomy in Forest Environment using Self-Corrective SLAM
    • [cs.RO]Monocular Depth Estimation for Soft Visuotactile Sensors
    • [cs.RO]Nonlinear Filter for Simultaneous Localization and Mapping on a Matrix Lie Group using IMU and Feature Measurements
    • [cs.RO]Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
    • [cs.SD]Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model
    • [cs.SD]Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
    • [cs.SI]A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
    • [cs.SI]Lockdowns need geographic coordination because of propagation of economic effects through supply chains
    • [cs.SI]Temporal Meta-path Guided Explainable Recommendation
    • [cs.SI]What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
    • [cs.SI]What social media told about us in the time of COVID-19: a scoping review
    • [econ.EM]Regression Discontinuity Design with Many Thresholds
    • [eess.IV]Advances in Electron Microscopy with Deep Learning
    • [eess.IV]Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
    • [eess.IV]Contextual colorization and denoising for low-light ultra high resolution sequences
    • [eess.IV]Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
    • [eess.SP]3D Orientation Estimation with Multiple 5G mmWave Base Stations
    • [math.CO]A New Formula for the Minimum Distance of an Expander Code
    • [math.NA]A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations
    • [math.NA]Gauss-Legendre Features for Gaussian Process Regression
    • [math.OC]Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications
    • [math.OC]Effcient Projection Onto the Nonconvex $\ell_p$-ball
    • [math.OC]Recurrent Neural Networks for Stochastic Control Problems with Delay
    • [math.ST]Mixing convergence of LSE for supercritical Gaussian AR(2) processes using random scaling
    • [math.ST]The Gaussian entropy map in valued fields
    • [q-bio.QM]Discovering genetic networks using compressive sensing
    • [quant-ph]Control of Stochastic Quantum Dynamics with Differentiable Programming
    • [quant-ph]Single-preparation unsupervised quantum machine learning: concepts and applications
    • [stat.AP]”Old Techniques for New Times”: the RMaCzek package for producing Czekanowski’s Diagrams
    • [stat.AP]A probabilistic risk-based decision framework for structural health monitoring
    • [stat.AP]Assessing Vaccine Durability in Randomized Trials Following Placebo Crossover
    • [stat.AP]Efficient estimation of temporal Gaussian processes models for physical activity level on a large scale population study
    • [stat.AP]Evaluating Fairness in the Presence of Spatial Autocorrelation
    • [stat.AP]Explaining the difference between men’s and women’s football
    • [stat.ME]A Bayesian spatio-temporal abundance model for surveillance of the opioid epidemic
    • [stat.ME]An RKHS-Based Semiparametric Approach to Nonlinear Sufficient Dimension Reduction
    • [stat.ME]Bayesian Uncertainty Quantification for Low-rank Matrix Completion
    • [stat.ME]Causal Inference on Non-linear Spaces: Distribution Functions and Beyond
    • [stat.ME]Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models
    • [stat.ME]Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
    • [stat.ME]Comparing methods addressing multi-collinearity when developing prediction models
    • [stat.ML]A Symmetric Loss Perspective of Reliable Machine Learning
    • [stat.ML]Adversarial Combinatorial Bandits with General Non-linear Reward Functions
    • [stat.ML]Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
    • [stat.ML]Handling Hard Affine SDP Shape Constraints in RKHSs
    • [stat.ML]Sequential Choice Bandits with Feedback for Personalizing users’ experience
    • [stat.ML]Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
    • [stat.ML]Weight-of-evidence 2.0 with shrinkage and spline-binning

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

    • [astro-ph.CO]Reconstructing Patchy Reionization with Deep Learning
    Eric Guzman, Joel Meyers
    http://arxiv.org/abs/2101.01214v1

    • [cond-mat.dis-nn]Exact solution to the random sequential dynamics of a message passing algorithm
    Burak Çakmak, Manfred Opper
    http://arxiv.org/abs/2101.01571v1

    • [cs.AI]Equality Saturation for Tensor Graph Superoptimization
    Yichen Yang, Phitchaya Mangpo Phothilimtha, Yisu Remy Wang, Max Willsey, Sudip Roy, Jacques Pienaar
    http://arxiv.org/abs/2101.01332v1

    • [cs.AI]Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
    Devleena Das, Siddhartha Banerjee, Sonia Chernova
    http://arxiv.org/abs/2101.01625v1

    • [cs.AI]Modeling Global Semantics for Question Answering over Knowledge Bases
    Peiyun Wu, Yunjie Wu, Linjuan Wu, Xiaowang Zhang, Zhiyong Feng
    http://arxiv.org/abs/2101.01510v1

    • [cs.AI]On the Control of Attentional Processes in Vision
    John K. Tsotsos, Omar Abid, Iuliia Kotseruba, Markus D. Solbach
    http://arxiv.org/abs/2101.01533v1

    • [cs.AI]Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
    Lawrence Thul, Warren Powell
    http://arxiv.org/abs/2101.01204v1

    • [cs.AI]Theory-based Habit Modeling for Enhancing Behavior Prediction
    Chao Zhang, Joaquin Vanschoren, Arlette van Wissen, Daniel Lakens, Boris de Ruyter, Wijnand A. IJsselsteijn
    http://arxiv.org/abs/2101.01637v1

    • [cs.AR]High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers
    Kamalavasan Kamalakkannan, Gihan R. Mudalige, Istvan Z. Reguly, Suhaib A. Fahmy
    http://arxiv.org/abs/2101.01177v1

    • [cs.CL]Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
    Ning Bian, Xianpei Han, Bo Chen, Le Sun
    http://arxiv.org/abs/2101.00760v2

    • [cs.CL]Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
    Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
    http://arxiv.org/abs/2101.01686v1

    • [cs.CL]Evaluating Empathetic Chatbots in Customer Service Settings
    Akshay Agarwal, Shashank Maiya, Sonu Aggarwal
    http://arxiv.org/abs/2101.01334v1

    • [cs.CL]I-BERT: Integer-only BERT Quantization
    Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2101.01321v1

    • [cs.CL]Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
    Mohammed Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, J. Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi
    http://arxiv.org/abs/2101.01337v1

    • [cs.CL]Local Translation Services for Neglected Languages
    David Noever, Josh Kalin, Matt Ciolino, Dom Hambrick, Gerry Dozier
    http://arxiv.org/abs/2101.01628v1

    • [cs.CL]On the interaction of automatic evaluation and task framing in headline style transfer
    Lorenzo De Mattei, Michele Cafagna, Huiyuan Lai, Felice Dell’Orletta, Malvina Nissim, Albert Gatt
    http://arxiv.org/abs/2101.01634v1

    • [cs.CL]PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
    Linh The Nguyen, Dat Quoc Nguyen
    http://arxiv.org/abs/2101.01476v1

    • [cs.CL]Political Depolarization of News Articles Using Attribute-aware Word Embeddings
    Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi
    http://arxiv.org/abs/2101.01391v1

    • [cs.CL]Reddit Entity Linking Dataset
    Nicholas Botzer, Yifan Ding, Tim Weninger
    http://arxiv.org/abs/2101.01228v1

    • [cs.CL]Reinforcement Learning based Collective Entity Alignment with Adaptive Features
    Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth
    http://arxiv.org/abs/2101.01353v1

    • [cs.CL]Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling
    Sofia Oliveira, Daniel Loureiro, Alípio Jorge
    http://arxiv.org/abs/2101.01213v1

    • [cs.CR]Practical Blind Membership Inference Attack via Differential Comparisons
    Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
    http://arxiv.org/abs/2101.01341v1

    • [cs.CV]A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning
    Karthik E
    http://arxiv.org/abs/2101.00793v2

    • [cs.CV]An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
    Moein Razavi, Hamed Alikhani, Vahid Janfaza, Benyamin Sadeghi, Ehsan Alikhani
    http://arxiv.org/abs/2101.01373v1

    • [cs.CV]CycleGAN for Interpretable Online EMT Compensation
    Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay
    http://arxiv.org/abs/2101.01444v1

    • [cs.CV]CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence
    Guankai Li, Chi Zhang, Guosheng Lin
    http://arxiv.org/abs/2101.01308v1

    • [cs.CV]Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors
    Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
    http://arxiv.org/abs/2101.01445v1

    • [cs.CV]Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
    Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang
    http://arxiv.org/abs/2101.01513v1

    • [cs.CV]High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test
    Le Ma, Xiaoyue Wu, Zhiwei Li, Nan Gao, Jie Liu, Lingfang Sun
    http://arxiv.org/abs/2101.01362v1

    • [cs.CV]Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark
    Reem Abdel-Salam, Rana Mostafa, Mayada Hadhood
    http://arxiv.org/abs/2101.01665v1

    • [cs.CV]Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification
    Tiago de C. G. Pereira, Teofilo E. de Campos
    http://arxiv.org/abs/2101.01215v1

    • [cs.CV]Learning Accurate Dense Correspondences and When to Trust Them
    Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2101.01710v1

    • [cs.CV]Learning from Synthetic Shadows for Shadow Detection and Removal
    Naoto Inoue, Toshihiko Yamasaki
    http://arxiv.org/abs/2101.01713v1

    • [cs.CV]Local Memory Attention for Fast Video Semantic Segmentation
    Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2101.01715v1

    • [cs.CV]Local Propagation for Few-Shot Learning
    Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
    http://arxiv.org/abs/2101.01480v1

    • [cs.CV]Look Twice: A Computational Model of Return Fixations across Tasks and Species
    Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret Livingstone, Carlos Ponce, Gabriel Kreiman
    http://arxiv.org/abs/2101.01611v1

    • [cs.CV]Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
    Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda
    http://arxiv.org/abs/2101.01543v1

    • [cs.CV]Novel View Synthesis via Depth-guided Skip Connections
    Yuxin Hou, Arno Solin, Juho Kannala
    http://arxiv.org/abs/2101.01619v1

    • [cs.CV]Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming
    Jizhe Zhou, Chi-Man Pun
    http://arxiv.org/abs/2101.01060v2

    • [cs.CV]PointCutMix: Regularization Strategy for Point Cloud Classification
    Jinlai Zhang, Lvjie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujing Chen, Yanmei Meng, Danfeng Wu
    http://arxiv.org/abs/2101.01461v1

    • [cs.CV]Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
    Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
    http://arxiv.org/abs/2101.01400v1

    • [cs.CV]Research on Fast Text Recognition Method for Financial Ticket Image
    Fukang Tian, Haiyu Wu, Bo Xu
    http://arxiv.org/abs/2101.01310v1

    • [cs.CV]Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
    Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang
    http://arxiv.org/abs/2101.01479v1

    • [cs.CV]Self-supervised Visual-LiDAR Odometry with Flip Consistency
    Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong
    http://arxiv.org/abs/2101.01322v1

    • [cs.CV]Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures
    Peter He, Raksha Jain, Jérôme Chambost, Céline Jacques, Cristina Hickman
    http://arxiv.org/abs/2101.01207v1

    • [cs.CV]Similarity Reasoning and Filtration for Image-Text Matching
    Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu
    http://arxiv.org/abs/2101.01368v1

    • [cs.CV]Spatial Attention Improves Iterative 6D Object Pose Estimation
    Stefan Stevsic, Otmar Hilliges
    http://arxiv.org/abs/2101.01659v1

    • [cs.CV]SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
    Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
    http://arxiv.org/abs/2101.01260v1

    • [cs.CV]Support Vector Machine and YOLO for a Mobile Food Grading System
    Lili Zhu, Petros Spachos
    http://arxiv.org/abs/2101.01418v1

    • [cs.CV]Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
    Shuyue Guan, Murray Loew
    http://arxiv.org/abs/2101.01386v1

    • [cs.CV]VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
    Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li
    http://arxiv.org/abs/2101.01394v1

    • [cs.CV]WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
    Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
    http://arxiv.org/abs/2101.01456v1

    • [cs.CY]A National Research Agenda for Intelligent Infrastructure: 2021 Update
    Daniel Lopresti, Shashi Shekhar
    http://arxiv.org/abs/2101.01671v1

    • [cs.CY]A Research Ecosystem for Secure Computing
    Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred Schneider, Suresh Venkatasubramanian
    http://arxiv.org/abs/2101.01264v1

    • [cs.CY]Advancing Computing’s Foundation of US Industry & Society
    Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill
    http://arxiv.org/abs/2101.01284v1

    • [cs.CY]Alleviating Vulnerabilities of the Possible Outbreaks of Measles: A Data Trend Analysis and Prediction of Possible Cases
    Hidear Talirongan, Markdy Y. Orong, Florence Jean B. Talirongan
    http://arxiv.org/abs/2101.01387v1

    • [cs.CY]CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
    Eva Agapaki, Ioannis Brilakis
    http://arxiv.org/abs/2101.01355v1

    • [cs.CY]COVID-19 Tests Gone Rogue: Privacy, Efficacy,Mismanagement and Misunderstandings
    Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landuge, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar
    http://arxiv.org/abs/2101.01693v1

    • [cs.CY]Computing Research Challenges in Next Generation Wireless Networking
    Elisa Bertino, Daniel Bliss, Daniel Lopresti, Larry Peterson, Henning Schulzrinne
    http://arxiv.org/abs/2101.01279v1

    • [cs.CY]Modeling National Trends on Health in the Philippines Using ARIMA
    Florence Jean B. Talirongan, Hidear Talirongan, Markdy Y. Orong
    http://arxiv.org/abs/2101.01392v1

    • [cs.CY]Post Quantum Cryptography: Readiness Challenges and the Approaching Storm
    Matt Campagna, Brian LaMacchia, David Ott
    http://arxiv.org/abs/2101.01269v1

    • [cs.DB]A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
    Hai Lan, Zhifeng Bao, Yuwei Peng
    http://arxiv.org/abs/2101.01507v1

    • [cs.DB]Searching Personalized $k$-wing in Large and Dynamic Bipartite Graphs
    Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu
    http://arxiv.org/abs/2101.00810v2

    • [cs.DC]Differentially Private Distributed Computation via Public-Private Communication Networks
    Lei Wang, Yang Liu, Ian Manchester, Guodong Shi
    http://arxiv.org/abs/2101.01376v1

    • [cs.DC]Modeling the Linux page cache for accurate simulation of data-intensive applications
    Hoang-Dung Do, Valerie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard
    http://arxiv.org/abs/2101.01335v1

    • [cs.DC]Revisiting the Role of Coverings in Anonymous Networks: Spanning Tree Construction and Topology Recognition
    Arnaud Casteigts, Yves Métivier, John Michael Robson
    http://arxiv.org/abs/2101.01409v1

    • [cs.DL]Detecting a network of hijacked journals by its archive
    Anna Abalkina
    http://arxiv.org/abs/2101.01224v1

    • [cs.DS]SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
    David Steurer, Stefan Tiegel
    http://arxiv.org/abs/2101.01509v1

    • [cs.HC]“Brilliant AI Doctor” in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
    Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian
    http://arxiv.org/abs/2101.01524v1

    • [cs.HC]All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments
    Kinga Skorupska, Daniel Cnotkowski, Julia Paluch, Rafał Masłyk, Anna Jaskulska Monika Kornacka, Wiesław Kopeć
    http://arxiv.org/abs/2101.01285v1

    • [cs.HC]Interpersonal distance in VR: reactions of older adults to the presence of a virtual agent
    Grzegorz Pochwatko, Barbara Karpowicz, Anna Chrzanowska, Wiesław Kopeć
    http://arxiv.org/abs/2101.01652v1

    • [cs.IR]Contrastive Learning for Recommender System
    Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong
    http://arxiv.org/abs/2101.01317v1

    • [cs.IT]A Splitting-Detection Joint-Decision Receiver for Ultrasonic Intra-Body Communications
    Qianqian Wang, Quansheng Guan, Julian Cheng, Fei Ji
    http://arxiv.org/abs/2101.01369v1

    • [cs.IT]Algebraic Geometric Secret Sharing Schemes over Large Fields Are Asymptotically Threshold
    Fan Peng, Hao Chen, Chang-An Zhao
    http://arxiv.org/abs/2101.01304v1

    • [cs.IT]Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network
    Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Yanqun Tang, Wei Wang, Zhiguo Ding, Octavia A. Dobre
    http://arxiv.org/abs/2101.01302v1

    • [cs.IT]Federated Learning for 6G: Applications, Challenges, and Opportunities
    Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui
    http://arxiv.org/abs/2101.01338v1

    • [cs.IT]Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
    Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding
    http://arxiv.org/abs/2101.01336v1

    • [cs.IT]Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks
    Zhong Yang, Yuanwei Liu, Yue Chen, Naofal Al-Dhahir
    http://arxiv.org/abs/2101.01212v1

    • [cs.IT]Tutorial I: Learning the Principles of Mobile Radio Propagation through Smartphone and CRFO
    Prabhu Chandhar, Sathish Babu, Tamizh Elakkiya
    http://arxiv.org/abs/2101.01406v1

    • [cs.LG]A Linearly Convergent Algorithm for Distributed Principal Component Analysis
    Arpita Gang, Waheed U. Bajwa
    http://arxiv.org/abs/2101.01300v1

    • [cs.LG]A Survey on Embedding Dynamic Graphs
    Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira, Artur Ziviani
    http://arxiv.org/abs/2101.01229v1

    • [cs.LG]A Trainable Reconciliation Method for Hierarchical Time-Series
    Davide Burba, Trista Chen
    http://arxiv.org/abs/2101.01329v1

    • [cs.LG]Adversarially trained LSTMs on reduced order models of urban air pollution simulations
    César Quilodrán-Casas, Rossella Arcucci, Christopher Pain, Yike Guo
    http://arxiv.org/abs/2101.01568v1

    • [cs.LG]Analyzing movies to predict their commercial viability for producers
    Devendra Swami, Yash Phogat, Aadiraj Batlaw, Ashwin Goyal
    http://arxiv.org/abs/2101.01697v1

    • [cs.LG]Auto-Encoding Molecular Conformations
    Robin Winter, Frank Noé, Djork-Arné Clevert
    http://arxiv.org/abs/2101.01618v1

    • [cs.LG]Characterizing Intersectional Group Fairness with Worst-Case Comparisons
    Avijit Ghosh, Lea Genuit, Mary Reagan
    http://arxiv.org/abs/2101.01673v1

    • [cs.LG]Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data
    Hyeongmin Cho, Sangkyun Lee
    http://arxiv.org/abs/2101.01441v1

    • [cs.LG]Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms
    Zhiyan Chen, Murat Simsek, Burak Kantarci
    http://arxiv.org/abs/2101.01266v1

    • [cs.LG]GeCo: Quality Counterfactual Explanations in Real Time
    Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu
    http://arxiv.org/abs/2101.01292v1

    • [cs.LG]Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization
    Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu
    http://arxiv.org/abs/2101.01431v1

    • [cs.LG]Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
    Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin Reese, Peter Robinson
    http://arxiv.org/abs/2101.01425v1

    • [cs.LG]Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection
    Hongda Shen, Eren Kursun
    http://arxiv.org/abs/2101.01689v1

    • [cs.LG]Learning Sign-Constrained Support Vector Machines
    Kenya Tajima, Takahiko Henmi, Kohei Tsuchida, Esmeraldo Ronnie R. Zara, Tsuyoshi Kato
    http://arxiv.org/abs/2101.01473v1

    • [cs.LG]Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
    Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
    http://arxiv.org/abs/2101.00746v2

    • [cs.LG]Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
    Wandong Zhang, QM Jonathan Wu, Yimin Yang, WG Will Zhao, Hui Zhang
    http://arxiv.org/abs/2101.01271v1

    • [cs.LG]On the price of explainability for some clustering problems
    Eduardo Laber, Lucas Murtinho
    http://arxiv.org/abs/2101.01576v1

    • [cs.LG]One vs Previous and Similar Classes Learning — A Comparative Study
    Daniel Cauchi, Adrian Muscat
    http://arxiv.org/abs/2101.01294v1

    • [cs.LG]Robust Maximum Entropy Behavior Cloning
    Mostafa Hussein, Brendan Crowe, Marek Petrik, Momotaz Begum
    http://arxiv.org/abs/2101.01251v1

    • [cs.LG]To do or not to do: cost-sensitive causal decision-making
    Diego Olaya, Wouter Verbeke, Jente Van Belle, Marie-Anne Guerry
    http://arxiv.org/abs/2101.01407v1

    • [cs.LO]Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization
    Marlo Souza, Álvaro Moreira, Renata Vieira
    http://arxiv.org/abs/2101.01676v1

    • [cs.MM]End-to-End Video Question-Answer Generation with Generator-Pretester Network
    Hung-Ting Su, Chen-Hsi Chang, Po-Wei Shen, Yu-Siang Wang, Ya-Liang Chang, Yu-Cheng Chang, Pu-Jen Cheng, Winston H. Hsu
    http://arxiv.org/abs/2101.01447v1

    • [cs.RO]Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems
    Andrew Bylard, Riccardo Bonalli, Marco Pavone
    http://arxiv.org/abs/2101.01297v1

    • [cs.RO]Long-Term Autonomy in Forest Environment using Self-Corrective SLAM
    Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen
    http://arxiv.org/abs/2101.00043v2

    • [cs.RO]Monocular Depth Estimation for Soft Visuotactile Sensors
    Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
    http://arxiv.org/abs/2101.01677v1

    • [cs.RO]Nonlinear Filter for Simultaneous Localization and Mapping on a Matrix Lie Group using IMU and Feature Measurements
    Hashim A. Hashim, Abdelrahman E. E. Eltoukhy
    http://arxiv.org/abs/2101.01648v1

    • [cs.RO]Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
    Quazi Marufur Rahman, Peter Corke, Feras Dayoub
    http://arxiv.org/abs/2101.01364v1

    • [cs.SD]Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model
    Fu-Shun Hsu, Chao-Jung Huang, Chen-Yi Kuo, Shang-Ran Huang, Yuan-Ren Cheng, Jia-Horng Wang, Yi-Lin Wu, Tzu-Ling Tzeng, Feipei Lai
    http://arxiv.org/abs/2101.01352v1

    • [cs.SD]Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
    Anugunj Naman, Liliana Mancini
    http://arxiv.org/abs/2101.01356v1

    • [cs.SI]A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
    Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
    http://arxiv.org/abs/2101.01669v1

    • [cs.SI]Lockdowns need geographic coordination because of propagation of economic effects through supply chains
    Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo
    http://arxiv.org/abs/2101.01679v1

    • [cs.SI]Temporal Meta-path Guided Explainable Recommendation
    Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
    http://arxiv.org/abs/2101.01433v1

    • [cs.SI]What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
    Annika Kreil, Andranik Tumasjan, Taha Yasseri, Isabell Welpe
    http://arxiv.org/abs/2101.01270v1

    • [cs.SI]What social media told about us in the time of COVID-19: a scoping review
    Shu-Feng Tsao, Helen Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Zahid A. Butt
    http://arxiv.org/abs/2101.01688v1

    • [econ.EM]Regression Discontinuity Design with Many Thresholds
    Marinho Bertanha
    http://arxiv.org/abs/2101.01245v1

    • [eess.IV]Advances in Electron Microscopy with Deep Learning
    Jeffrey M. Ede
    http://arxiv.org/abs/2101.01178v1

    • [eess.IV]Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
    Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S Bhat, Ganapathy Krishnamurthi
    http://arxiv.org/abs/2101.01546v1

    • [eess.IV]Contextual colorization and denoising for low-light ultra high resolution sequences
    N. Anantrasirichai, David Bull
    http://arxiv.org/abs/2101.01597v1

    • [eess.IV]Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
    Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
    http://arxiv.org/abs/2101.01570v1

    • [eess.SP]3D Orientation Estimation with Multiple 5G mmWave Base Stations
    Mohammad A. Nazari, Gonzalo Seco-Granados, Pontus Johannisson, Henk Wymeersch
    http://arxiv.org/abs/2101.01639v1

    • [math.CO]A New Formula for the Minimum Distance of an Expander Code
    Sudipta Mallik
    http://arxiv.org/abs/2101.01339v1

    • [math.NA]A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations
    Jianfeng Lu, Yulong Lu, Min Wang
    http://arxiv.org/abs/2101.01708v1

    • [math.NA]Gauss-Legendre Features for Gaussian Process Regression
    Paz Fink Shustin, Haim Avron
    http://arxiv.org/abs/2101.01137v2

    • [math.OC]Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications
    Xiang Li, Zhihua Zhang
    http://arxiv.org/abs/2101.01505v1

    • [math.OC]Effcient Projection Onto the Nonconvex $\ell_p$-ball
    Hao Wang, Xiangyu Yang, Jiashan Wang
    http://arxiv.org/abs/2101.01350v1

    • [math.OC]Recurrent Neural Networks for Stochastic Control Problems with Delay
    Jiequn Han, Ruimeng Hu
    http://arxiv.org/abs/2101.01385v1

    • [math.ST]Mixing convergence of LSE for supercritical Gaussian AR(2) processes using random scaling
    Matyas Barczy, Gyula Pap
    http://arxiv.org/abs/2101.01590v1

    • [math.ST]The Gaussian entropy map in valued fields
    Yassine El Maazouz
    http://arxiv.org/abs/2101.00767v2

    • [q-bio.QM]Discovering genetic networks using compressive sensing
    Stephen Doro, Matthew A. Herman
    http://arxiv.org/abs/2101.01234v1

    • [quant-ph]Control of Stochastic Quantum Dynamics with Differentiable Programming
    Frank Schäfer, Pavel Sekatski, Martin Koppenhöfer, Christoph Bruder, Michal Kloc
    http://arxiv.org/abs/2101.01190v1

    • [quant-ph]Single-preparation unsupervised quantum machine learning: concepts and applications
    Yannick Deville, Alain Deville
    http://arxiv.org/abs/2101.01442v1

    • [stat.AP]“Old Techniques for New Times”: the RMaCzek package for producing Czekanowski’s Diagrams
    Krzysztof Bartoszek, Albin Västerlund
    http://arxiv.org/abs/2101.01501v1

    • [stat.AP]A probabilistic risk-based decision framework for structural health monitoring
    Aidan J. Hughes, Robert J. Barthorpe, N. Dervilis, Charles R. Farrar, Keith Worden
    http://arxiv.org/abs/2101.01521v1

    • [stat.AP]Assessing Vaccine Durability in Randomized Trials Following Placebo Crossover
    Jonathan Fintzi, Dean Follmann
    http://arxiv.org/abs/2101.01295v1

    • [stat.AP]Efficient estimation of temporal Gaussian processes models for physical activity level on a large scale population study
    Pierfrancesco Alaimo Di Loro, Marco Mingione, Jonah Lipsitt, Michael Jerrett, Sudipto Banerjee
    http://arxiv.org/abs/2101.01624v1

    • [stat.AP]Evaluating Fairness in the Presence of Spatial Autocorrelation
    Cheryl Flynn, Subhabrata Majumdar, Ritwik Mitra
    http://arxiv.org/abs/2101.01703v1

    • [stat.AP]Explaining the difference between men’s and women’s football
    Luca Pappalardo, Alessio Rossi, Giuseppe Pontillo, Michela Natilli, Paolo Cintia
    http://arxiv.org/abs/2101.01662v1

    • [stat.ME]A Bayesian spatio-temporal abundance model for surveillance of the opioid epidemic
    Staci A. Hepler, David Kline, Andrea Bonny, Erin McKnight, Lance A. Waller
    http://arxiv.org/abs/2101.01235v1

    • [stat.ME]An RKHS-Based Semiparametric Approach to Nonlinear Sufficient Dimension Reduction
    Wenquan Cui, Haoyang Cheng
    http://arxiv.org/abs/2101.01535v1

    • [stat.ME]Bayesian Uncertainty Quantification for Low-rank Matrix Completion
    Henry Shaowu Yuchi, Simon Mak, Yao Xie
    http://arxiv.org/abs/2101.01299v1

    • [stat.ME]Causal Inference on Non-linear Spaces: Distribution Functions and Beyond
    Zhenhua Lin, Dehan Kong, Linbo Wang
    http://arxiv.org/abs/2101.01599v1

    • [stat.ME]Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models
    Junda Xiong, Xin Cai, Jinglai Li
    http://arxiv.org/abs/2101.00057v1

    • [stat.ME]Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
    Martijn J. Schuemie, Yong Chen, David Madigan, Marc A. Suchard
    http://arxiv.org/abs/2101.01551v1

    • [stat.ME]Comparing methods addressing multi-collinearity when developing prediction models
    Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk, Arjen van der Schaaf, Murielle E. Mauer, Karel G. M. Moons, Johannes B. Reitsma, Ewoud Schuit
    http://arxiv.org/abs/2101.01603v1

    • [stat.ML]A Symmetric Loss Perspective of Reliable Machine Learning
    Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
    http://arxiv.org/abs/2101.01366v1

    • [stat.ML]Adversarial Combinatorial Bandits with General Non-linear Reward Functions
    Xi Chen, Yanjun Han, Yining Wang
    http://arxiv.org/abs/2101.01301v1

    • [stat.ML]Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
    Minh Ha Quang
    http://arxiv.org/abs/2101.01429v1

    • [stat.ML]Handling Hard Affine SDP Shape Constraints in RKHSs
    Pierre-Cyril Aubin-Frankowski, Zoltan Szabo
    http://arxiv.org/abs/2101.01519v1

    • [stat.ML]Sequential Choice Bandits with Feedback for Personalizing users’ experience
    Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
    http://arxiv.org/abs/2101.01572v1

    • [stat.ML]Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
    Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers
    http://arxiv.org/abs/2101.01506v1

    • [stat.ML]Weight-of-evidence 2.0 with shrinkage and spline-binning
    Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
    http://arxiv.org/abs/2101.01494v1