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