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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 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.CA - 古典分析与常微分方程 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.bio-ph - 生物物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Practical Guide to Multi-Objective Reinforcement Learning and Planning
    • [cs.AI]Evaluation of soccer team defense based on prediction models of ball recovery and being attacked
    • [cs.AI]Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data
    • [cs.AI]Z Distance Function for KNN Classification
    • [cs.AR]An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit
    • [cs.CL]Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
    • [cs.CL]Code Word Detection in Fraud Investigations using a Deep-Learning Approach
    • [cs.CL]Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
    • [cs.CL]Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
    • [cs.CL]Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
    • [cs.CL]Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots
    • [cs.CL]ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer
    • [cs.CL]Endangered Languages are not Low-Resourced!
    • [cs.CL]Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection
    • [cs.CL]Multimodal End-to-End Sparse Model for Emotion Recognition
    • [cs.CL]SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference
    • [cs.CL]The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP
    • [cs.CL]Towards Few-Shot Fact-Checking via Perplexity
    • [cs.CL]UniParma @ SemEval 2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model
    • [cs.CR]Bolt-Dumbo Transformer: Asynchronous Consensus As Fast As Pipelined BFT
    • [cs.CR]Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
    • [cs.CV]A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images
    • [cs.CV]ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity
    • [cs.CV]Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
    • [cs.CV]Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
    • [cs.CV]An Efficient Method for the Classification of Croplands in Scarce-Label Regions
    • [cs.CV]Bio-inspired Robustness: A Review
    • [cs.CV]CNN Model & Tuning for Global Road Damage Detection
    • [cs.CV]Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
    • [cs.CV]Digital Peter: Dataset, Competition and Handwriting Recognition Methods
    • [cs.CV]Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
    • [cs.CV]Few-Shot Visual Grounding for Natural Human-Robot Interaction
    • [cs.CV]Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
    • [cs.CV]HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
    • [cs.CV]Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data
    • [cs.CV]Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
    • [cs.CV]Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
    • [cs.CV]Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions
    • [cs.CV]Learning Discriminative Prototypes with Dynamic Time Warping
    • [cs.CV]Meta-learning of Pooling Layers for Character Recognition
    • [cs.CV]Multi-channel Deep Supervision for Crowd Counting
    • [cs.CV]Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
    • [cs.CV]Prediction-assistant Frame Super-Resolution for Video Streaming
    • [cs.CV]Quantitative Effectiveness Assessment and Role Categorization of Individual Units in Convolutional Neural Networks
    • [cs.CV]RackLay: Multi-Layer Layout Estimation for Warehouse Racks
    • [cs.CV]Revisiting the Loss Weight Adjustment in Object Detection
    • [cs.CV]SPICE: Semantic Pseudo-labeling for Image Clustering
    • [cs.CV]Semi-Supervised Learning for Eye Image Segmentation
    • [cs.CV]ShipSRDet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation
    • [cs.CV]Single Underwater Image Restoration by Contrastive Learning
    • [cs.CV]Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
    • [cs.CV]The Invertible U-Net for Optical-Flow-free Video Interframe Generation
    • [cs.CV]Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
    • [cs.CV]Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
    • [cs.CV]Triplet-Watershed for Hyperspectral Image Classification
    • [cs.CV]Trust Your IMU: Consequences of Ignoring the IMU Drift
    • [cs.CV]Virtual Dress Swap Using Landmark Detection
    • [cs.CV]WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
    • [cs.CV]YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
    • [cs.CV]You Only Look One-level Feature
    • [cs.DC]Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs
    • [cs.DC]Accretive Computation of Global Transformations of Graphs
    • [cs.DC]Escaping Saddle Points in Distributed Newton’s Method with Communication efficiency and Byzantine Resilience
    • [cs.DC]Real-Time Fault-Tolerance Node-to-Node Disjoint Paths Algorithm for Symmetric Networks
    • [cs.DC]Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations
    • [cs.DL]Revealing the research landscape of Master’s degrees via bibliometric analyses
    • [cs.IR]A Neural Passage Model for Ad-hoc Document Retrieval
    • [cs.IR]Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
    • [cs.IT]Capacity Achieving Uncoded PIR Protocol based on Combinatorial Designs
    • [cs.IT]Hybrid Precoding for mmWave V2X Doubly-Selective Multiuser MIMO Systems
    • [cs.IT]Improved Constructions for Secure Multi-Party Batch Matrix Multiplication
    • [cs.IT]Massive Uncoordinated Access With Random User Activity
    • [cs.IT]Moderate Density Parity-Check Codes from Projective Bundles
    • [cs.IT]RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions
    • [cs.IT]STAR: Simultaneous Transmission And Reflection for 360° Coverage by Intelligent Surfaces
    • [cs.IT]Variable-length Feedback Codes with Several Decoding Times for the Gaussian Channel
    • [cs.LG]Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
    • [cs.LG]Deep Learning based Extreme Heatwave Forecast
    • [cs.LG]Diversified Multiscale Graph Learning with Graph Self-Correction
    • [cs.LG]Efficient Bayesian Optimization using Multiscale Graph Correlation
    • [cs.LG]Fairness-aware Outlier Ensemble
    • [cs.LG]Gradient Projection Memory for Continual Learning
    • [cs.LG]Inferred vs traditional personality assessment: are we predicting the same thing?
    • [cs.LG]Learned Gradient Compression for Distributed Deep Learning
    • [cs.LG]Learning with Group Noise
    • [cs.LG]Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure
    • [cs.LG]Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
    • [cs.LG]Near Optimal Policy Optimization via REPS
    • [cs.LG]OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
    • [cs.LG]PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
    • [cs.LG]Pros and Cons of GAN Evaluation Measures: New Developments
    • [cs.LG]Regularized Behavior Value Estimation
    • [cs.LG]Sample-based Federated Learning via Mini-batch SSCA
    • [cs.LG]Set-to-Sequence Methods in Machine Learning: a Review
    • [cs.LG]Taming Wild Price Fluctuations: Monotone Stochastic Convex Optimization with Bandit Feedback
    • [cs.LG]TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
    • [cs.LG]Theoretical bounds on data requirements for the ray-based classification
    • [cs.LG]Training GANs with Stronger Augmentations via Contrastive Discriminator
    • [cs.LG]Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
    • [cs.NE]Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing
    • [cs.NI]Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning
    • [cs.PL]Toward Neural-Network-Guided Program Synthesis and Verification
    • [cs.RO]A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors
    • [cs.RO]A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning
    • [cs.RO]Active fall prevention: robotic vision in AAL
    • [cs.RO]An Inextensible Model for Robotic Simulations of Textiles
    • [cs.RO]Bio-Inspired Design of Artificial Striated Muscles Composed of Sarcomere-Like Contraction Units (preprint)
    • [cs.RO]Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones
    • [cs.RO]Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction
    • [cs.RO]HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
    • [cs.RO]In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
    • [cs.RO]Learning Descriptor of Constrained Task from Demonstration
    • [cs.RO]Online Informative Path Planning for Active Information Gathering of a 3D Surface
    • [cs.RO]Particle Filter-based vs. Graph-based: SLAM Acceleration on Low-end FPGAs
    • [cs.RO]Technical Report: Scalable Active Information Acquisition for Multi-Robot Systems
    • [cs.RO]Textile Taxonomy and Classification Using Pulling and Twisting
    • [cs.RO]The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX
    • [cs.RO]The utilization of spherical camera in simulation for service robotics
    • [cs.RO]Visual Place Recognition using LiDAR Intensity Information
    • [cs.RO]What s in My LiDAR Odometry Toolbox?
    • [cs.SD]Contrastive Learning of Musical Representations
    • [cs.SE]Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
    • [cs.SE]Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
    • [cs.SE]TNM: A Tool for Mining of Socio-Technical Data from Git Repositories
    • [cs.SI]On the Role of Images for Analyzing Claims in Social Media
    • [cs.SI]Optimizing Edge Sets in Networks to Produce Ground Truth Communities Based on Modularity
    • [cs.SI]Social Group Query Based on Multi-fuzzy-constrained Strong Simulation
    • [cs.SI]The Rise and Fall of Fake News sites: A Traffic Analysis
    • [eess.AS]STYLER: Style Modeling with Rapidity and Robustness via SpeechDecomposition for Expressive and Controllable Neural Text to Speech
    • [eess.IV]Big Plastic Masses Detection using Sentinel 2 Images
    • [eess.IV]Collapsible Linear Blocks for Super-Efficient Super Resolution
    • [eess.IV]Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet
    • [eess.SP]Data Discovery Using Lossless Compression-Based Sparse Representation
    • [eess.SP]Fast Antenna and Beam Switching Method for mmWave Handsets with Hand Blockage
    • [math.CA]On the Whitney extension problem for near isometries and beyond
    • [math.PR]A Note on Over- and Under-Representation Among Populations with Normally-Distributed Traits
    • [math.PR]The least favorable noise
    • [math.ST]Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations
    • [math.ST]The planted matching problem: Sharp threshold and infinite-order phase transition
    • [physics.ao-ph]Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
    • [physics.bio-ph]Mechanical principles of dynamic terrestrial self-righting using wings
    • [physics.comp-ph]PythonFOAM: In-situ data analyses with OpenFOAM and Python
    • [physics.soc-ph]Infection percolation: A dynamic network model of disease spreading
    • [stat.AP]Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
    • [stat.AP]Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
    • [stat.ME]A Measurement of In-Betweenness and Inference Based on Shape Theories
    • [stat.ME]Bayesian Estimation of Attribute Disclosure Risks in Synthetic Data with the 今日学术视野(2021.3.19) - 图1 R Package
    • [stat.ME]Best Practices for Collecting Gender and Sex Data
    • [stat.ME]Conformalized Survival Analysis
    • [stat.ME]K-expectiles clustering
    • [stat.ME]Multivariate Cluster Weighted Models Using Skewed Distributions
    • [stat.ME]Optimal stratification of survival data via Bayesian nonparametric mixtures
    • [stat.ME]Self-Validated Ensemble Models for Design of Experiments
    • [stat.ME]Simultaneous Decorrelation of Matrix Time Series
    • [stat.ME]Sparse multivariate regression with missing values and its application to the prediction of material properties
    • [stat.ML]DoubleML — An Object-Oriented Implementation of Double Machine Learning in R
    • [stat.ML]Implicit Normalizing Flows

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    • [cs.AI]A Practical Guide to Multi-Objective Reinforcement Learning and Planning
    Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
    http://arxiv.org/abs/2103.09568v1

    • [cs.AI]Evaluation of soccer team defense based on prediction models of ball recovery and being attacked
    Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro, Keisuke Fujii
    http://arxiv.org/abs/2103.09627v1

    • [cs.AI]Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data
    Nariman Ammar, James E Bailey, Robert L Davis, Arash Shaban-Nejad
    http://arxiv.org/abs/2103.09311v1

    • [cs.AI]Z Distance Function for KNN Classification
    Shichao Zhang, Jiaye Li
    http://arxiv.org/abs/2103.09704v1

    • [cs.AR]An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit
    Mineto Tsukada, Hiroki Matsutani
    http://arxiv.org/abs/2103.09791v1

    • [cs.CL]Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
    Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
    http://arxiv.org/abs/2103.09591v1

    • [cs.CL]Code Word Detection in Fraud Investigations using a Deep-Learning Approach
    Youri van der Zee, Jan C. Scholtes, Marcel Westerhoud, Julien Rossi
    http://arxiv.org/abs/2103.09606v1

    • [cs.CL]Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
    Samson Tan, Shafiq Joty
    http://arxiv.org/abs/2103.09593v1

    • [cs.CL]Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
    Minh Van Nguyen, Viet Dac Lai, Thien Huu Nguyen
    http://arxiv.org/abs/2103.09330v1

    • [cs.CL]Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
    Bonaventure F. P. Dossou, Chris C. Emezue
    http://arxiv.org/abs/2103.08052v2

    • [cs.CL]Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots
    Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, Rui Yan
    http://arxiv.org/abs/2103.09534v1

    • [cs.CL]ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer
    Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim
    http://arxiv.org/abs/2103.09548v1

    • [cs.CL]Endangered Languages are not Low-Resourced!
    Mika Hämäläinen
    http://arxiv.org/abs/2103.09567v1

    • [cs.CL]Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection
    Dang Van Thin, Lac Si Le, Vu Xuan Hoang, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2103.09519v1

    • [cs.CL]Multimodal End-to-End Sparse Model for Emotion Recognition
    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu, Pascale Fung
    http://arxiv.org/abs/2103.09666v1

    • [cs.CL]SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference
    Javier Huertas-Tato, Alejandro Martín, David Camacho
    http://arxiv.org/abs/2103.09635v1

    • [cs.CL]The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP
    Anastasia Shimorina, Anya Belz
    http://arxiv.org/abs/2103.09710v1

    • [cs.CL]Towards Few-Shot Fact-Checking via Perplexity
    Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, Pascale Fung
    http://arxiv.org/abs/2103.09535v1

    • [cs.CL]UniParma @ SemEval 2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model
    Akbar Karimi, Leonardo Rossi, Andrea Prati
    http://arxiv.org/abs/2103.09645v1

    • [cs.CR]Bolt-Dumbo Transformer: Asynchronous Consensus As Fast As Pipelined BFT
    Yuan Lu, Zhenliang Lu, Qiang Tang
    http://arxiv.org/abs/2103.09425v1

    • [cs.CR]Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
    Boxiang Dong, Hui, Wang, Aparna S. Varde, Dawei Li, Bharath K. Samanthula, Weifeng Sun, Liang Zhao
    http://arxiv.org/abs/2103.09713v1

    • [cs.CV]A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images
    Hongjie He, Ke Yang, Yuwei Cai, Zijian Jiang, Qiutong Yu, Kun Zhao, Junbo Wang, Sarah Narges Fatholahi, Yan Liu, Hasti Andon Petrosians, Bingxu Hu, Liyuan Qing, Zhehan Zhang, Hongzhang Xu, Siyu Li, Linlin Xu, Jonathan Li
    http://arxiv.org/abs/2103.09300v1

    • [cs.CV]ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity
    Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John Collomosse
    http://arxiv.org/abs/2103.09776v1

    • [cs.CV]Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
    Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward
    http://arxiv.org/abs/2103.09448v1

    • [cs.CV]Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
    Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji
    http://arxiv.org/abs/2103.09755v1

    • [cs.CV]An Efficient Method for the Classification of Croplands in Scarce-Label Regions
    Houtan Ghaffari
    http://arxiv.org/abs/2103.09588v1

    • [cs.CV]Bio-inspired Robustness: A Review
    Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard, Michael. H Herzog
    http://arxiv.org/abs/2103.09265v1

    • [cs.CV]CNN Model & Tuning for Global Road Damage Detection
    Rahul Vishwakarma, Ravigopal Vennelakanti
    http://arxiv.org/abs/2103.09512v1

    • [cs.CV]Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
    Megha Kalia, Tajwar Abrar Aleef, Nassir Navab, Septimiu E. Salcudean
    http://arxiv.org/abs/2103.09276v1

    • [cs.CV]Digital Peter: Dataset, Competition and Handwriting Recognition Methods
    Mark Potanin, Denis Dimitrov, Alex Shonenkov, Vladimir Bataev, Denis Karachev, Maxim Novopoltsev
    http://arxiv.org/abs/2103.09354v1

    • [cs.CV]Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
    Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo
    http://arxiv.org/abs/2103.09479v1

    • [cs.CV]Few-Shot Visual Grounding for Natural Human-Robot Interaction
    Giorgos Tziafas, Hamidreza Kasaei
    http://arxiv.org/abs/2103.09720v1

    • [cs.CV]Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
    Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
    http://arxiv.org/abs/2103.09671v1

    • [cs.CV]HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
    Yanlun Tu, Houchao Lei, Wei Long, Yang Yang
    http://arxiv.org/abs/2103.09764v1

    • [cs.CV]Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data
    Dominik Drees, Xiaoyi Jiang
    http://arxiv.org/abs/2103.09564v1

    • [cs.CV]Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
    Ming Zhang, Hong Yan
    http://arxiv.org/abs/2103.09442v1

    • [cs.CV]Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
    Boxiang Dong, Aparna S. Varde, Danilo Stevanovic, Jiayin Wang, Liang Zhao
    http://arxiv.org/abs/2103.09714v1

    • [cs.CV]Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions
    Sebastian Bujwid, Josephine Sullivan
    http://arxiv.org/abs/2103.09669v1

    • [cs.CV]Learning Discriminative Prototypes with Dynamic Time Warping
    Xiaobin Chang, Frederick Tung, Greg Mori
    http://arxiv.org/abs/2103.09458v1

    • [cs.CV]Meta-learning of Pooling Layers for Character Recognition
    Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
    http://arxiv.org/abs/2103.09528v1

    • [cs.CV]Multi-channel Deep Supervision for Crowd Counting
    Bo Wei, Mulin Chen, Qi Wang, Xuelong Li
    http://arxiv.org/abs/2103.09553v1

    • [cs.CV]Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
    Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
    http://arxiv.org/abs/2103.09435v1

    • [cs.CV]Prediction-assistant Frame Super-Resolution for Video Streaming
    Wang Shen, Wenbo Bao, Guangtao Zhai, Charlie L Wang, Jerry W Hu, Zhiyong Gao
    http://arxiv.org/abs/2103.09455v1

    • [cs.CV]Quantitative Effectiveness Assessment and Role Categorization of Individual Units in Convolutional Neural Networks
    Yang Zhao, Hao Zhang
    http://arxiv.org/abs/2103.09716v1

    • [cs.CV]RackLay: Multi-Layer Layout Estimation for Warehouse Racks
    Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Puru Gupta, Tanvi Karandikar, N. Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
    http://arxiv.org/abs/2103.09174v2

    • [cs.CV]Revisiting the Loss Weight Adjustment in Object Detection
    Wenxin Yu, Bin Hu, Yucheng Hu, Tianxiang Lan, Yuanfan You, Dong Yin
    http://arxiv.org/abs/2103.09488v1

    • [cs.CV]SPICE: Semantic Pseudo-labeling for Image Clustering
    Chuang Niu, Ge Wang
    http://arxiv.org/abs/2103.09382v1

    • [cs.CV]Semi-Supervised Learning for Eye Image Segmentation
    Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
    http://arxiv.org/abs/2103.09369v1

    • [cs.CV]ShipSRDet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation
    Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng
    http://arxiv.org/abs/2103.09699v1

    • [cs.CV]Single Underwater Image Restoration by Contrastive Learning
    Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
    http://arxiv.org/abs/2103.09697v1

    • [cs.CV]Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
    Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
    http://arxiv.org/abs/2103.09787v1

    • [cs.CV]The Invertible U-Net for Optical-Flow-free Video Interframe Generation
    Saem Park, Donghun Han, Nojun Kwak
    http://arxiv.org/abs/2103.09576v1

    • [cs.CV]Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
    Ozgur Kara, Nikhil Churamani, Hatice Gunes
    http://arxiv.org/abs/2103.09233v1

    • [cs.CV]Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
    Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng
    http://arxiv.org/abs/2103.09712v1

    • [cs.CV]Triplet-Watershed for Hyperspectral Image Classification
    Aditya Challa, Sravan Danda, B. S. Daya Sagar, Laurent Najman
    http://arxiv.org/abs/2103.09384v1

    • [cs.CV]Trust Your IMU: Consequences of Ignoring the IMU Drift
    Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden
    http://arxiv.org/abs/2103.08286v2

    • [cs.CV]Virtual Dress Swap Using Landmark Detection
    Odar Zeynal, Saber Malekzadeh
    http://arxiv.org/abs/2103.09475v1

    • [cs.CV]WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
    Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang
    http://arxiv.org/abs/2103.09408v1

    • [cs.CV]YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
    Yuxuan Liu, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2103.09422v1

    • [cs.CV]You Only Look One-level Feature
    Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun
    http://arxiv.org/abs/2103.09460v1

    • [cs.DC]Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs
    Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis
    http://arxiv.org/abs/2103.09683v1

    • [cs.DC]Accretive Computation of Global Transformations of Graphs
    Alexandre Fernandez, Luidnel Maignan, Antoine Spicher
    http://arxiv.org/abs/2103.09636v1

    • [cs.DC]Escaping Saddle Points in Distributed Newton’s Method with Communication efficiency and Byzantine Resilience
    Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
    http://arxiv.org/abs/2103.09424v1

    • [cs.DC]Real-Time Fault-Tolerance Node-to-Node Disjoint Paths Algorithm for Symmetric Networks
    Hesham AlMansouri, Zaid Hussain
    http://arxiv.org/abs/2103.09801v1

    • [cs.DC]Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations
    Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue, Hang Cao, Pengqi Lu
    http://arxiv.org/abs/2103.09235v1

    • [cs.DL]Revealing the research landscape of Master’s degrees via bibliometric analyses
    Nathalia Chaparro, Sergio Rojas-Galeano
    http://arxiv.org/abs/2103.09431v1

    • [cs.IR]A Neural Passage Model for Ad-hoc Document Retrieval
    Qingyao Ai, Brendan O Connor, W. Bruce Croft
    http://arxiv.org/abs/2103.09306v1

    • [cs.IR]Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
    Shaina Raza, Chen Ding
    http://arxiv.org/abs/2103.08458v2

    • [cs.IT]Capacity Achieving Uncoded PIR Protocol based on Combinatorial Designs
    Mohit Shrivastava, Pradeep Sarvepalli
    http://arxiv.org/abs/2103.09804v1

    • [cs.IT]Hybrid Precoding for mmWave V2X Doubly-Selective Multiuser MIMO Systems
    Elyes Balti
    http://arxiv.org/abs/2103.09444v1

    • [cs.IT]Improved Constructions for Secure Multi-Party Batch Matrix Multiplication
    Jinbao Zhu, Qifa Yan, Xiaohu Tang
    http://arxiv.org/abs/2103.09592v1

    • [cs.IT]Massive Uncoordinated Access With Random User Activity
    Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi, Alexandre Graell i Amat
    http://arxiv.org/abs/2103.09721v1

    • [cs.IT]Moderate Density Parity-Check Codes from Projective Bundles
    Jessica Bariffi, Sam Mattheus, Alessandro Neri, Joachim Rosenthal
    http://arxiv.org/abs/2103.09722v1

    • [cs.IT]RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions
    Heng Liu, Jiayi Zhang, Qingqing Wu, Yu Jin, Yuanbin Chen, Bo Ai
    http://arxiv.org/abs/2103.09484v1

    • [cs.IT]STAR: Simultaneous Transmission And Reflection for 360° Coverage by Intelligent Surfaces
    Yuanwei Liu, Xidong Mu, Jiaqi Xu, Robert Schober, Yang Hao, H. Vincent Poor, Lajos Hanzo
    http://arxiv.org/abs/2103.09104v2

    • [cs.IT]Variable-length Feedback Codes with Several Decoding Times for the Gaussian Channel
    Recep Can Yavas, Victoria Kostina, Michelle Effros
    http://arxiv.org/abs/2103.09373v1

    • [cs.LG]Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
    Zhenhua Wang, Olanrewaju Akande, Jason Poulos, Fan Li
    http://arxiv.org/abs/2103.09316v1

    • [cs.LG]Deep Learning based Extreme Heatwave Forecast
    Valérian Jacques-Dumas, Francesco Ragone, Freddy Bouchet, Pierre Borgnat, Patrice Abry
    http://arxiv.org/abs/2103.09743v1

    • [cs.LG]Diversified Multiscale Graph Learning with Graph Self-Correction
    Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang
    http://arxiv.org/abs/2103.09754v1

    • [cs.LG]Efficient Bayesian Optimization using Multiscale Graph Correlation
    Takuya Kanazawa
    http://arxiv.org/abs/2103.09434v1

    • [cs.LG]Fairness-aware Outlier Ensemble
    Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
    http://arxiv.org/abs/2103.09419v1

    • [cs.LG]Gradient Projection Memory for Continual Learning
    Gobinda Saha, Isha Garg, Kaushik Roy
    http://arxiv.org/abs/2103.09762v1

    • [cs.LG]Inferred vs traditional personality assessment: are we predicting the same thing?
    Pavel Novikov, Larisa Mararitsa, Victor Nozdrachev
    http://arxiv.org/abs/2103.09632v1

    • [cs.LG]Learned Gradient Compression for Distributed Deep Learning
    Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
    http://arxiv.org/abs/2103.08870v2

    • [cs.LG]Learning with Group Noise
    Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
    http://arxiv.org/abs/2103.09468v1

    • [cs.LG]Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure
    Alix Jean Santos, Xavier Eugenio Asuncion, Camille Rivero-Co, Maria Eloisa Ventura, Reynaldo Geronia II, Lauren Bangerter, Natalie E. Sheils
    http://arxiv.org/abs/2103.09574v1

    • [cs.LG]Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
    James Diffenderfer, Bhavya Kailkhura
    http://arxiv.org/abs/2103.09377v1

    • [cs.LG]Near Optimal Policy Optimization via REPS
    Aldo Pacchiano, Jonathan Lee, Peter Bartlett, Ofir Nachum
    http://arxiv.org/abs/2103.09756v1

    • [cs.LG]OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
    Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
    http://arxiv.org/abs/2103.09430v1

    • [cs.LG]PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
    unbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
    http://arxiv.org/abs/2103.09504v1

    • [cs.LG]Pros and Cons of GAN Evaluation Measures: New Developments
    Ali Borji
    http://arxiv.org/abs/2103.09396v1

    • [cs.LG]Regularized Behavior Value Estimation
    Caglar Gulcehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew Hoffman, Razvan Pascanu, Nando de Freitas
    http://arxiv.org/abs/2103.09575v1

    • [cs.LG]Sample-based Federated Learning via Mini-batch SSCA
    Chencheng Ye, Ying Cui
    http://arxiv.org/abs/2103.09506v1

    • [cs.LG]Set-to-Sequence Methods in Machine Learning: a Review
    Mateusz Jurewicz, Leon Strømberg-Derczynski
    http://arxiv.org/abs/2103.09656v1

    • [cs.LG]Taming Wild Price Fluctuations: Monotone Stochastic Convex Optimization with Bandit Feedback
    Jad Salem, Swati Gupta, Vijay Kamble
    http://arxiv.org/abs/2103.09287v1

    • [cs.LG]TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
    Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
    http://arxiv.org/abs/2103.09815v1

    • [cs.LG]Theoretical bounds on data requirements for the ray-based classification
    Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak
    http://arxiv.org/abs/2103.09577v1

    • [cs.LG]Training GANs with Stronger Augmentations via Contrastive Discriminator
    Jongheon Jeong, Jinwoo Shin
    http://arxiv.org/abs/2103.09742v1

    • [cs.LG]Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
    Sampo Kuutti, Richard Bowden, Saber Fallah
    http://arxiv.org/abs/2103.09726v1

    • [cs.NE]Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing
    Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou, Nathan R. McDonald, Lisa Loomis, Clare D. Thiem, Jayasimha Atulasimha, Joseph S. Friedman
    http://arxiv.org/abs/2103.09353v1

    • [cs.NI]Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning
    Manoj R. Rege, Vlado Handziski, Adam Wolisz
    http://arxiv.org/abs/2103.09355v1

    • [cs.PL]Toward Neural-Network-Guided Program Synthesis and Verification
    Naoki Kobayashi, Taro Sekiyama, Issei Sato, Hiroshi Unno
    http://arxiv.org/abs/2103.09414v1

    • [cs.RO]A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors
    Celyn Walters, Oscar Mendez, Simon Hadfield, Richard Bowden
    http://arxiv.org/abs/2103.09641v1

    • [cs.RO]A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning
    Yu Luo, Mingxuan Jing, Tianying Ji, Fuchun Sun, Huaping Liu
    http://arxiv.org/abs/2103.09693v1

    • [cs.RO]Active fall prevention: robotic vision in AAL
    Dawid Gruszczyński, Maciej Stefańczyk
    http://arxiv.org/abs/2103.09298v1

    • [cs.RO]An Inextensible Model for Robotic Simulations of Textiles
    Franco Coltraro, Jaume Amorós, Maria Alberich-Carramiñana, Carme Torras
    http://arxiv.org/abs/2103.09586v1

    • [cs.RO]Bio-Inspired Design of Artificial Striated Muscles Composed of Sarcomere-Like Contraction Units (preprint)
    Luiza Labazanova, Zeyu Wu, Zhengping Gu, David Navarro-Alarcon
    http://arxiv.org/abs/2103.09489v1

    • [cs.RO]Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones
    Roi Yehoshua, Juan Heredia-Juesas, Yushu Wu, Christopher Amato, Jose Martinez-Lorenzo
    http://arxiv.org/abs/2103.09520v1

    • [cs.RO]Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction
    Paul Koch, Marian Schlüter, Serge Thill
    http://arxiv.org/abs/2103.09696v1

    • [cs.RO]HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
    Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki
    http://arxiv.org/abs/2103.09439v1

    • [cs.RO]In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
    Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori, Tetsuya Ogata
    http://arxiv.org/abs/2103.09402v1

    • [cs.RO]Learning Descriptor of Constrained Task from Demonstration
    Xiang Zhang, Matteo Saveriano, Justus Piater
    http://arxiv.org/abs/2103.09465v1

    • [cs.RO]Online Informative Path Planning for Active Information Gathering of a 3D Surface
    Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance, Roland Siegwart, Javier Alonso-Mora
    http://arxiv.org/abs/2103.09556v1

    • [cs.RO]Particle Filter-based vs. Graph-based: SLAM Acceleration on Low-end FPGAs
    Keisuke Sugiura, Hiroki Matsutani
    http://arxiv.org/abs/2103.09523v1

    • [cs.RO]Technical Report: Scalable Active Information Acquisition for Multi-Robot Systems
    Yiannis Kantaros, George J. Pappas
    http://arxiv.org/abs/2103.09364v1

    • [cs.RO]Textile Taxonomy and Classification Using Pulling and Twisting
    Alberta Longhini, Michael C. Welle, Ioanna Mitsioni, Danica Kragic
    http://arxiv.org/abs/2103.09555v1

    • [cs.RO]The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX
    Alexander Tenbrock, Alexander König, Thomas Keutgens, Julian Bock, Hendrik Weber, Robert Krajewski, Adrian Zlocki
    http://arxiv.org/abs/2103.09772v1

    • [cs.RO]The utilization of spherical camera in simulation for service robotics
    Krystian Chachuła, Maciej Stefańczyk
    http://arxiv.org/abs/2103.09297v1

    • [cs.RO]Visual Place Recognition using LiDAR Intensity Information
    Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti
    http://arxiv.org/abs/2103.09605v1

    • [cs.RO]What s in My LiDAR Odometry Toolbox?
    Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette
    http://arxiv.org/abs/2103.09708v1

    • [cs.SD]Contrastive Learning of Musical Representations
    Janne Spijkervet, John Ashley Burgoyne
    http://arxiv.org/abs/2103.09410v1

    • [cs.SE]Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
    Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos
    http://arxiv.org/abs/2103.09783v1

    • [cs.SE]Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
    Yanlin Wang, Hui Li
    http://arxiv.org/abs/2103.09499v1

    • [cs.SE]TNM: A Tool for Mining of Socio-Technical Data from Git Repositories
    Nikolai Sviridov, Mikhail Evtikhiev, Vladimir Kovalenko
    http://arxiv.org/abs/2103.09766v1

    • [cs.SI]On the Role of Images for Analyzing Claims in Social Media
    Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth
    http://arxiv.org/abs/2103.09602v1

    • [cs.SI]Optimizing Edge Sets in Networks to Produce Ground Truth Communities Based on Modularity
    Daniel Kosmas, John E. Mitchell, Thomas C. Sharkey, Boleslaw K. Szymanski
    http://arxiv.org/abs/2103.09351v1

    • [cs.SI]Social Group Query Based on Multi-fuzzy-constrained Strong Simulation
    Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
    http://arxiv.org/abs/2103.09497v1

    • [cs.SI]The Rise and Fall of Fake News sites: A Traffic Analysis
    Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis
    http://arxiv.org/abs/2103.09258v1

    • [eess.AS]STYLER: Style Modeling with Rapidity and Robustness via SpeechDecomposition for Expressive and Controllable Neural Text to Speech
    Keon Lee, Kyumin Park, Daeyoung Kim
    http://arxiv.org/abs/2103.09474v1

    • [eess.IV]Big Plastic Masses Detection using Sentinel 2 Images
    Fernando Martin-Rodriguez
    http://arxiv.org/abs/2103.09560v1

    • [eess.IV]Collapsible Linear Blocks for Super-Efficient Super Resolution
    Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O’Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas, Danny Loh
    http://arxiv.org/abs/2103.09404v1

    • [eess.IV]Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet
    Nisarg A. Shah, Divij Gupta, Romil Lodaya, Ujjwal Baid, Sanjay Talbar
    http://arxiv.org/abs/2103.09289v1

    • [eess.SP]Data Discovery Using Lossless Compression-Based Sparse Representation
    Elyas Sabeti, Peter X. K. Song, Alfred O. Hero III
    http://arxiv.org/abs/2103.08765v2

    • [eess.SP]Fast Antenna and Beam Switching Method for mmWave Handsets with Hand Blockage
    Wan-Ting Shih, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin
    http://arxiv.org/abs/2103.08151v1

    • [math.CA]On the Whitney extension problem for near isometries and beyond
    Steven B. Damelin
    http://arxiv.org/abs/2103.09748v1

    • [math.PR]A Note on Over- and Under-Representation Among Populations with Normally-Distributed Traits
    Ronald F. Fox, Theodore P. Hill
    http://arxiv.org/abs/2103.09324v1

    • [math.PR]The least favorable noise
    Philip A. Ernst, Abram M. Kagan, L. C. G. Rogers
    http://arxiv.org/abs/2103.09794v1

    • [math.ST]Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations
    Tudor Manole, Aaditya Ramdas
    http://arxiv.org/abs/2103.09267v1

    • [math.ST]The planted matching problem: Sharp threshold and infinite-order phase transition
    Jian Ding, Yihong Wu, Jiaming Xu, Dana Yang
    http://arxiv.org/abs/2103.09383v1

    • [physics.ao-ph]Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
    Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath
    http://arxiv.org/abs/2103.09360v1

    • [physics.bio-ph]Mechanical principles of dynamic terrestrial self-righting using wings
    Chen Li, Chad C. Kessens, Ronald S. Fearing, Robert J. Full
    http://arxiv.org/abs/2103.09450v1

    • [physics.comp-ph]PythonFOAM: In-situ data analyses with OpenFOAM and Python
    Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel
    http://arxiv.org/abs/2103.09389v1

    • [physics.soc-ph]Infection percolation: A dynamic network model of disease spreading
    Christopher A. Browne, Daniel B. Amchin, Joanna Schneider, Sujit S. Datta
    http://arxiv.org/abs/2103.09691v1

    • [stat.AP]Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
    Jingchen Hu, Joerg Drechsler, Hang J. Kim
    http://arxiv.org/abs/2103.09705v1

    • [stat.AP]Decision rules for identifying combination therapies in open-entry, randomized controlled platform trials
    Elias Laurin Meyer, Peter Mesenbrink, Cornelia Dunger-Baldauf, Ekkehard Glimm, Yuhan Li, Franz König
    http://arxiv.org/abs/2103.09547v1

    • [stat.ME]A Measurement of In-Betweenness and Inference Based on Shape Theories
    Dustin Pluta, Xiangmin Xu, Daniel L. Gillen, Zhaoxia Yu
    http://arxiv.org/abs/2103.09718v1

    • [stat.ME]Bayesian Estimation of Attribute Disclosure Risks in Synthetic Data with the 今日学术视野(2021.3.19) - 图2 R Package
    Ryan Hornby, Jingchen Hu
    http://arxiv.org/abs/2103.09805v1

    • [stat.ME]Best Practices for Collecting Gender and Sex Data
    Suzanne Thornton, Dooti Roy, Stephen Parry, Donna LaLonde, Wendy Martinez, Renee Ellis, David Corliss
    http://arxiv.org/abs/2103.09647v1

    • [stat.ME]Conformalized Survival Analysis
    Emmanuel J. Candès, Lihua Lei, Zhimei Ren
    http://arxiv.org/abs/2103.09763v1

    • [stat.ME]K-expectiles clustering
    Bingling Wang, Yinxing Li, Wolfgang Karl Härdle
    http://arxiv.org/abs/2103.09329v1

    • [stat.ME]Multivariate Cluster Weighted Models Using Skewed Distributions
    Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
    http://arxiv.org/abs/2103.09792v1

    • [stat.ME]Optimal stratification of survival data via Bayesian nonparametric mixtures
    Riccardo Corradin, Luis Enrique Nieto-Barajas, Bernardo Nipoti
    http://arxiv.org/abs/2103.09305v1

    • [stat.ME]Self-Validated Ensemble Models for Design of Experiments
    Trent Lemkus, Philip Ramsey, Christopher Gotwalt, Maria Weese
    http://arxiv.org/abs/2103.09303v1

    • [stat.ME]Simultaneous Decorrelation of Matrix Time Series
    Yuefeng Han, Rong Chen, Cun-Hui Zhang, Qiwei Yao
    http://arxiv.org/abs/2103.09411v1

    • [stat.ME]Sparse multivariate regression with missing values and its application to the prediction of material properties
    Keisuke Teramoto, Kei Hirose
    http://arxiv.org/abs/2103.09619v1

    • [stat.ML]DoubleML — An Object-Oriented Implementation of Double Machine Learning in R
    Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler
    http://arxiv.org/abs/2103.09603v1

    • [stat.ML]Implicit Normalizing Flows
    Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
    http://arxiv.org/abs/2103.09527v1