cond-mat.soft - 软凝聚物质 cond-mat.str-el - 强关联电子系统 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 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 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 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

    • [cond-mat.soft]Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
    • [cond-mat.str-el]Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
    • [cs.AI]A Survey On (Stochastic Fractal Search) Algorithm
    • [cs.AI]Agent Incentives: A Causal Perspective
    • [cs.AI]Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects
    • [cs.AI]Detection of Racial Bias from Physiological Responses
    • [cs.AI]Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence
    • [cs.AI]Modular approach to data preprocessing in ALOHA and application to a smart industry use case
    • [cs.AI]The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
    • [cs.CL]”Is depression related to cannabis?”: A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
    • [cs.CL]An Improved Baseline for Sentence-level Relation Extraction
    • [cs.CL]CTC-based Compression for Direct Speech Translation
    • [cs.CL]Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
    • [cs.CL]Generative Spoken Language Modeling from Raw Audio
    • [cs.CL]Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
    • [cs.CL]Inducing Meaningful Units from Character Sequences with Slot Attention
    • [cs.CL]MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
    • [cs.CL]MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
    • [cs.CL]Neural Data Augmentation via Example Extrapolation
    • [cs.CL]On Robustness of Neural Semantic Parsers
    • [cs.CL]Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
    • [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
    • [cs.CL]The impact of external innovation on new drug approvals: A retrospective analysis
    • [cs.CL]Two Demonstrations of the Machine Translation Applications to Historical Documents
    • [cs.CV]A NIR-to-VIS face recognition via part adaptive and relation attention module
    • [cs.CV]Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes
    • [cs.CV]Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
    • [cs.CV]Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
    • [cs.CV]Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images — an in-depth Analysis
    • [cs.CV]Deep Online Fused Video Stabilization
    • [cs.CV]Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
    • [cs.CV]Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
    • [cs.CV]Exploiting Raw Images for Real-Scene Super-Resolution
    • [cs.CV]Face Recognition Using 今日学术视野(2021.2.4) - 图1 With Higher Feature Discrimination
    • [cs.CV]Face Recognition using 3D CNNs
    • [cs.CV]Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region
    • [cs.CV]From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
    • [cs.CV]GCF-Net: Gated Clip Fusion Network for Video Action Recognition
    • [cs.CV]Hardware-efficient Residual Networks for FPGAs
    • [cs.CV]Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
    • [cs.CV]Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
    • [cs.CV]Model-based multi-parameter mapping
    • [cs.CV]Occluded Video Instance Segmentation
    • [cs.CV]Orientation Convolutional Networks for Image Recognition
    • [cs.CV]Progressive Localization Networks for Language-based Moment Localization
    • [cs.CV]Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
    • [cs.CV]RectiNet-v2: A stacked network architecture for document image dewarping
    • [cs.CV]Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
    • [cs.CV]Test-Time Adaptation for Out-of-distributed Image Inpainting
    • [cs.CV]Tight-Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry
    • [cs.CV]Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement
    • [cs.CV]Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
    • [cs.CV]U-LanD: Uncertainty-Driven Video Landmark Detection
    • [cs.CV]Underwater Image Enhancement via Learning Water Type Desensitized Representations
    • [cs.CV]Video Transformer Network
    • [cs.CV]toon2real: Translating Cartoon Images to Realistic Images
    • [cs.CY]Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology
    • [cs.CY]Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research
    • [cs.CY]The Limits of Global Inclusion in AI Development
    • [cs.CY]The Privatization of AI Research(-ers): Causes and Potential Consequences — From university-industry interaction to public research brain-drain?
    • [cs.CY]When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
    • [cs.DC]A Weak Consensus Algorithm and Its Application to High-Performance Blockchain
    • [cs.DC]Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
    • [cs.DC]Cloud Computing Concept and Roots
    • [cs.DC]Consensus in Networks Prone to Link Failures
    • [cs.DC]Customizing Graph500 for Tianhe Pre-exacale system
    • [cs.DC]QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
    • [cs.DC]Two Social Concepts in Virtual Communities: Trust and Reputation
    • [cs.DC]wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
    • [cs.DS]A Tight Bound for Stochastic Submodular Cover
    • [cs.DS]Tree trace reconstruction using subtraces
    • [cs.GT]Resource Availability in the Social Cloud: An Economics Perspective
    • [cs.HC]Child-Computer Interaction: Recent Works, New Dataset, and Age Detection
    • [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
    • [cs.IT]Ambient Backscatter-Assisted Wireless-Powered Relaying
    • [cs.IT]Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36
    • [cs.IT]Common Randomness Generation over Slow Fading Channels
    • [cs.IT]D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
    • [cs.IT]Data Freshness in Mixed-Memory Intermittently-Powered Systems
    • [cs.IT]Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems
    • [cs.IT]Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel
    • [cs.IT]Group Testing in the High Dilution Regime
    • [cs.IT]Identification over the Gaussian Channel in the Presence of Feedback
    • [cs.IT]Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs
    • [cs.IT]Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels
    • [cs.IT]Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach
    • [cs.IT]Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems
    • [cs.IT]Local Differential Privacy Is Equivalent to Contraction of 今日学术视野(2021.2.4) - 图2-Divergence
    • [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates
    • [cs.IT]Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform
    • [cs.IT]On Codes for the Noisy Substring Channel
    • [cs.IT]On Skew Convolutional and Trellis Codes
    • [cs.IT]On conditional Sibson’s 今日学术视野(2021.2.4) - 图3-Mutual Information
    • [cs.IT]On optimal relay placement in directional networks
    • [cs.IT]Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
    • [cs.IT]Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting
    • [cs.IT]Permute & Add Network Codes via Group Algebras
    • [cs.IT]Private Linear Transformation: The Individual Privacy Case
    • [cs.IT]Private Linear Transformation: The Joint Privacy Case
    • [cs.IT]Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
    • [cs.IT]Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance
    • [cs.LG]A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
    • [cs.LG]AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
    • [cs.LG]Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
    • [cs.LG]AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
    • [cs.LG]Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
    • [cs.LG]Benchmarking Quantized Neural Networks on FPGAs with FINN
    • [cs.LG]Bit Error Tolerance Metrics for Binarized Neural Networks
    • [cs.LG]Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
    • [cs.LG]Depth separation beyond radial functions
    • [cs.LG]Drift Estimation with Graphical Models
    • [cs.LG]Evaluating the Interpretability of Generative Models by Interactive Reconstruction
    • [cs.LG]FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
    • [cs.LG]Fast Exploration of Weight Sharing Opportunities for CNN Compression
    • [cs.LG]Fast Training of Provably Robust Neural Networks by SingleProp
    • [cs.LG]Federated Learning in Smart Cities: A Comprehensive Survey
    • [cs.LG]Gaussian Experts Selection using Graphical Models
    • [cs.LG]Graph Classification Based on Skeleton and Component Features
    • [cs.LG]Graph Coarsening with Neural Networks
    • [cs.LG]GraphDF: A Discrete Flow Model for Molecular Graph Generation
    • [cs.LG]Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
    • [cs.LG]It’s always personal: Using Early Exits for Efficient On-Device CNN Personalisation
    • [cs.LG]Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
    • [cs.LG]Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus
    • [cs.LG]Metrics and continuity in reinforcement learning
    • [cs.LG]Mining Feature Relationships in Data
    • [cs.LG]Mining Feature Relationships in Data
    • [cs.LG]Multi-modal Ensemble Models for Predicting Video Memorability
    • [cs.LG]OPAM: Online Purchasing-behavior Analysis using Machine learning
    • [cs.LG]Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games
    • [cs.LG]Predicting student performance using data from an auto-grading system
    • [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
    • [cs.LG]Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
    • [cs.LG]Real-time detection of uncalibrated sensors using Neural Networks
    • [cs.LG]Recent Advances in Adversarial Training for Adversarial Robustness
    • [cs.LG]Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
    • [cs.LG]Report of the Workshop on Program Synthesis for Scientific Computing
    • [cs.LG]Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
    • [cs.LG]SGD Generalizes Better Than GD (And Regularization Doesn’t Help)
    • [cs.LG]Scaling Laws for Transfer
    • [cs.LG]Size Matters
    • [cs.LG]Stability-Constrained Markov Decision Processes Using MPC
    • [cs.LG]Strongly Adaptive OCO with Memory
    • [cs.LG]Super-klust: Another Way of Piecewise Linear Classification
    • [cs.LG]Symmetric Boolean Factor Analysis with Applications to InstaHide
    • [cs.LG]System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
    • [cs.LG]The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
    • [cs.LG]TinyML for Ubiquitous Edge AI
    • [cs.LG]Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
    • [cs.LG]Unassisted Noise Reduction of Chemical Reaction Data Sets
    • [cs.LG]pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs
    • [cs.LO]Verifying the Hashgraph Consensus Algorithm
    • [cs.MA]An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours
    • [cs.MA]Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
    • [cs.MM]Fake-image detection with Robust Hashing
    • [cs.MM]Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
    • [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
    • [cs.NE]Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages
    • [cs.RO]A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints
    • [cs.RO]An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
    • [cs.RO]Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
    • [cs.RO]Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution
    • [cs.RO]MPC path-planner for autonomous driving solved by genetic algorithm technique
    • [cs.RO]Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations
    • [cs.RO]Subdimensional Expansion for Multi-objective Multi-agent Path Finding
    • [cs.RO]Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
    • [cs.SD]Deep Music Information Dynamics
    • [cs.SD]PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation
    • [cs.SD]SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer
    • [cs.SD]WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit
    • [cs.SE]Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
    • [cs.SE]Fast Parametric Model Checking through Model Fragmentation
    • [cs.SI]A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter
    • [cs.SI]Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
    • [econ.EM]Adaptive Random Bandwidth for Inference in CAViaR Models
    • [econ.EM]Efficient Estimation for Staggered Rollout Designs
    • [econ.TH]Games on Endogenous Networks
    • [eess.AS]Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
    • [eess.AS]Multimodal Attention Fusion for Target Speaker Extraction
    • [eess.AS]The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
    • [eess.AS]Universal Neural Vocoding with Parallel WaveNet
    • [eess.IV]Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
    • [eess.IV]Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
    • [eess.IV]Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
    • [eess.IV]Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
    • [eess.IV]Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
    • [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
    • [eess.IV]Mobile-end Tone Mapping based on Integral Image and Integral Histogram
    • [eess.IV]Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
    • [eess.IV]Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR
    • [eess.IV]Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
    • [eess.IV]aura-net : robust segmentation of phase-contrast microscopy images with few annotations
    • [eess.SP]A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
    • [eess.SY]Development and Simulation-based Testing of a 5G-Connected Intersection AEB System
    • [math.OC]Community Detection with a Subsampled Semidefinite Program
    • [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
    • [math.PR]Divergence of an integral of a process with small ball estimate
    • [math.ST]An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models
    • [math.ST]Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time
    • [math.ST]Transition kernel couplings of the Metropolis-Hastings algorithm
    • [physics.geo-ph]Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
    • [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015—2020 and a comparison with the casualties reported for the COVID-19 pandemic
    • [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
    • [q-bio.GN]The Gene Mover’s Distance: Single-cell similarity via Optimal Transport
    • [q-bio.NC]When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
    • [q-fin.CP]A Stochastic Time Series Model for Predicting Financial Trends using NLP
    • [quant-ph]Capacity and quantum geometry of parametrized quantum circuits
    • [quant-ph]Conditional distributions for quantum systems
    • [stat.AP]Bayesian analysis of population health data
    • [stat.AP]Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
    • [stat.AP]Dynamic modeling of mortality via mixtures of skewed distribution functions
    • [stat.AP]Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
    • [stat.ME]Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
    • [stat.ME]Double bootstrapping for visualising the distribution of descriptive statistics of functional data
    • [stat.ME]G-Formula for Observational Studies with Partial Interference, with Application to Bed Net Use on Malaria
    • [stat.ME]Robust Functional Principal Component Analysis for Non-Gaussian Continuous Data to Analyze Physical Activity Data Generated by Accelerometers
    • [stat.ML]Beyond the Signs: Nonparametric Tensor Completion via Sign Series
    • [stat.ML]Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning
    • [stat.ML]Doubly Robust Thompson Sampling for linear payoffs
    • [stat.ML]Exact Langevin Dynamics with Stochastic Gradients
    • [stat.ML]Generalized non-stationary bandits
    • [stat.ML]Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
    • [stat.ML]Policy Analysis using Synthetic Controls in Continuous-Time
    • [stat.ML]Robust data-driven discovery of partial differential equations with time-dependent coefficients
    • [stat.ML]Stability and Generalization of the Decentralized Stochastic Gradient Descent
    • [stat.ML]Time Adaptive Gaussian Model

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

    • [cond-mat.soft]Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
    Patrick Reiser, Manuel Konrad, Artem Fediai, Salvador Léon, Wolfgang Wenzel, Pascal Friederich
    http://arxiv.org/abs/2102.01479v1

    • [cond-mat.str-el]Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
    Nihal Rao, Ke Liu, Marc Machaczek, Lode Pollet
    http://arxiv.org/abs/2102.01103v1

    • [cs.AI]A Survey On (Stochastic Fractal Search) Algorithm
    Mohammed ElKomy
    http://arxiv.org/abs/2102.01503v1

    • [cs.AI]Agent Incentives: A Causal Perspective
    Tom Everitt, Ryan Carey, Eric Langlois, Pedro A Ortega, Shane Legg
    http://arxiv.org/abs/2102.01685v1

    • [cs.AI]Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects
    Ondřej Sokol, Vladimír Holý
    http://arxiv.org/abs/2102.01424v1

    • [cs.AI]Detection of Racial Bias from Physiological Responses
    Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab
    http://arxiv.org/abs/2102.01287v1

    • [cs.AI]Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence
    Michael Chary, Ed W Boyer, Michele M Burns
    http://arxiv.org/abs/2102.01116v1

    • [cs.AI]Modular approach to data preprocessing in ALOHA and application to a smart industry use case
    Cristina Chesta, Luca Rinelli
    http://arxiv.org/abs/2102.01349v1

    • [cs.AI]The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
    Xing Su, Yan Kong, Weihua Li
    http://arxiv.org/abs/2102.01190v1

    • [cs.CL]“Is depression related to cannabis?”: A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
    Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit Sheth
    http://arxiv.org/abs/2102.01222v1

    • [cs.CL]An Improved Baseline for Sentence-level Relation Extraction
    Wenxuan Zhou, Muhao Chen
    http://arxiv.org/abs/2102.01373v1

    • [cs.CL]CTC-based Compression for Direct Speech Translation
    Marco Gaido, Mauro Cettolo, Matteo Negri, Marco Turchi
    http://arxiv.org/abs/2102.01578v1

    • [cs.CL]Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT)
    Muhammad N. Fakhruzzaman, Saidah Z. Jannah, Ratih A. Ningrum, Indah Fahmiyah
    http://arxiv.org/abs/2102.01497v1

    • [cs.CL]Generative Spoken Language Modeling from Raw Audio
    Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu-Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux
    http://arxiv.org/abs/2102.01192v1

    • [cs.CL]Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
    Despina Christou, Grigorios Tsoumakas
    http://arxiv.org/abs/2102.01156v1

    • [cs.CL]Inducing Meaningful Units from Character Sequences with Slot Attention
    Melika Behjati, James Henderson
    http://arxiv.org/abs/2102.01223v1

    • [cs.CL]MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
    Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui
    http://arxiv.org/abs/2102.01454v1

    • [cs.CL]MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
    Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
    http://arxiv.org/abs/2102.01263v1

    • [cs.CL]Neural Data Augmentation via Example Extrapolation
    Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung
    http://arxiv.org/abs/2102.01335v1

    • [cs.CL]On Robustness of Neural Semantic Parsers
    Shuo Huang, Zhuang Li, Lizhen Qu1, Lei Pan
    http://arxiv.org/abs/2102.01563v1

    • [cs.CL]Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
    Dian Yu, Kai Sun, Dong Yu, Claire Cardie
    http://arxiv.org/abs/2102.01226v1

    • [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
    Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
    http://arxiv.org/abs/2102.01672v1

    • [cs.CL]The impact of external innovation on new drug approvals: A retrospective analysis
    Xiong Liu, Craig E. Thomas, Christian C. Felder
    http://arxiv.org/abs/2102.01260v1

    • [cs.CL]Two Demonstrations of the Machine Translation Applications to Historical Documents
    Miguel Domingo, Francisco Casacuberta
    http://arxiv.org/abs/2102.01417v1

    • [cs.CV]A NIR-to-VIS face recognition via part adaptive and relation attention module
    Rushuang Xu, MyeongAh Cho, Sangyoun Lee
    http://arxiv.org/abs/2102.00689v1

    • [cs.CV]Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes
    Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll
    http://arxiv.org/abs/2102.01161v1

    • [cs.CV]Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
    Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He
    http://arxiv.org/abs/2102.01256v1

    • [cs.CV]Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
    Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji
    http://arxiv.org/abs/2102.00713v1

    • [cs.CV]Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images — an in-depth Analysis
    Quentin Paletta, Guillaume Arbod, Joan Lasenby
    http://arxiv.org/abs/2102.00721v2

    • [cs.CV]Deep Online Fused Video Stabilization
    Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
    http://arxiv.org/abs/2102.01279v1

    • [cs.CV]Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
    Francesco Paissan, Massimo Gottardi, Elisabetta Farella
    http://arxiv.org/abs/2102.01340v1

    • [cs.CV]Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
    Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
    http://arxiv.org/abs/2102.01187v1

    • [cs.CV]Exploiting Raw Images for Real-Scene Super-Resolution
    Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang
    http://arxiv.org/abs/2102.01579v1

    • [cs.CV]Face Recognition Using 今日学术视野(2021.2.4) - 图4 With Higher Feature Discrimination
    Nayaneesh Kumar Mishra, Satish Kumar Singh
    http://arxiv.org/abs/2102.01404v1

    • [cs.CV]Face Recognition using 3D CNNs
    Nayaneesh Kumar Mishra, Satish Kumar Singh
    http://arxiv.org/abs/2102.01441v1

    • [cs.CV]Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region
    Dong-Keon Kim, DongHee Kim, Kwangsu Kim
    http://arxiv.org/abs/2102.01381v1

    • [cs.CV]From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images
    Wei-Lin Hsiao, Kristen Grauman
    http://arxiv.org/abs/2102.01690v1

    • [cs.CV]GCF-Net: Gated Clip Fusion Network for Video Action Recognition
    Jenhao Hsiao, Jiawei Chen, Chiuman Ho
    http://arxiv.org/abs/2102.01285v1

    • [cs.CV]Hardware-efficient Residual Networks for FPGAs
    Olivia Weng, Alireza Khodamoradi, Ryan Kastner
    http://arxiv.org/abs/2102.01351v1

    • [cs.CV]Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
    Yi-Jun Cao, Chuan Lin, Yong-Jie Li
    http://arxiv.org/abs/2102.01301v1

    • [cs.CV]Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
    Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto
    http://arxiv.org/abs/2102.01460v1

    • [cs.CV]Model-based multi-parameter mapping
    Yael Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
    http://arxiv.org/abs/2102.01604v1

    • [cs.CV]Occluded Video Instance Segmentation
    Jiyang Qi, Yan Gao, Xiaoyu Liu, Yao Hu, Xinggang Wang, Xiang Bai, Philip H. S. Torr, Serge Belongie, Alan Yuille, Song Bai
    http://arxiv.org/abs/2102.01558v1

    • [cs.CV]Orientation Convolutional Networks for Image Recognition
    Yalan Qin, Guorui Feng, Hanzhou Wu, Yanli Ren, Xinpeng Zhang
    http://arxiv.org/abs/2102.01523v1

    • [cs.CV]Progressive Localization Networks for Language-based Moment Localization
    Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang
    http://arxiv.org/abs/2102.01282v1

    • [cs.CV]Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
    Cheng Ma, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2102.01486v1

    • [cs.CV]RectiNet-v2: A stacked network architecture for document image dewarping
    Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
    http://arxiv.org/abs/2102.01120v1

    • [cs.CV]Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
    Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu
    http://arxiv.org/abs/2102.01284v1

    • [cs.CV]Test-Time Adaptation for Out-of-distributed Image Inpainting
    Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee
    http://arxiv.org/abs/2102.01360v1

    • [cs.CV]Tight-Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry
    Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
    http://arxiv.org/abs/2102.01191v1

    • [cs.CV]Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement
    Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin
    http://arxiv.org/abs/2102.01315v1

    • [cs.CV]Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
    Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding
    http://arxiv.org/abs/2102.00670v1

    • [cs.CV]U-LanD: Uncertainty-Driven Video Landmark Detection
    Mohammad H. Jafari, Christina Luong, Michael Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi
    http://arxiv.org/abs/2102.01586v1

    • [cs.CV]Underwater Image Enhancement via Learning Water Type Desensitized Representations
    Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding
    http://arxiv.org/abs/2102.00676v1

    • [cs.CV]Video Transformer Network
    Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann
    http://arxiv.org/abs/2102.00719v1

    • [cs.CV]toon2real: Translating Cartoon Images to Realistic Images
    K. M. Arefeen Sultan, Mohammad Imrul Jubair, MD. Nahidul Islam, Sayed Hossain Khan
    http://arxiv.org/abs/2102.01143v1

    • [cs.CY]Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology
    Neo C. K. Yiu
    http://arxiv.org/abs/2102.01456v1

    • [cs.CY]Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research
    A. Feder Cooper, Ellen Abrams
    http://arxiv.org/abs/2102.01203v1

    • [cs.CY]The Limits of Global Inclusion in AI Development
    Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang
    http://arxiv.org/abs/2102.01265v1

    • [cs.CY]The Privatization of AI Research(-ers): Causes and Potential Consequences — From university-industry interaction to public research brain-drain?
    Roman Jurowetzki, Daniel Hain, Juan Mateos-Garcia, Konstantinos Stathoulopoulos
    http://arxiv.org/abs/2102.01648v1

    • [cs.CY]When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
    Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
    http://arxiv.org/abs/2102.00141v2

    • [cs.DC]A Weak Consensus Algorithm and Its Application to High-Performance Blockchain
    Qin Wang, Rujia Li
    http://arxiv.org/abs/2102.00872v2

    • [cs.DC]Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
    Dalia Popescu, Philippe Jacquet, Bernard Mans, Bartomiej Blaszczyszyn
    http://arxiv.org/abs/2102.01241v1

    • [cs.DC]Cloud Computing Concept and Roots
    Bola Abimbola
    http://arxiv.org/abs/2102.00981v1

    • [cs.DC]Consensus in Networks Prone to Link Failures
    Bogdan S. Chlebus, Dariusz R. Kowalski, Jan Olkowski, Jedrzej Olkowski
    http://arxiv.org/abs/2102.01251v1

    • [cs.DC]Customizing Graph500 for Tianhe Pre-exacale system
    Xinbiao Gan
    http://arxiv.org/abs/2102.01254v1

    • [cs.DC]QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning
    Dainius Jenkus, Fei Xia, Rishad Shafik, Alex Yakovlev
    http://arxiv.org/abs/2102.01348v1

    • [cs.DC]Two Social Concepts in Virtual Communities: Trust and Reputation
    Yusuf Samil Ezer
    http://arxiv.org/abs/2102.01413v1

    • [cs.DC]wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
    Minghui Xu, Chunchi Liu, Yifei Zou, Feng Zhao, Jiguo Yu, Xiuzhen Cheng
    http://arxiv.org/abs/2102.01333v1

    • [cs.DS]A Tight Bound for Stochastic Submodular Cover
    Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy
    http://arxiv.org/abs/2102.01149v1

    • [cs.DS]Tree trace reconstruction using subtraces
    Tatiana Brailovskaya, Miklós Z. Rácz
    http://arxiv.org/abs/2102.01541v1

    • [cs.GT]Resource Availability in the Social Cloud: An Economics Perspective
    Pramod C. Mane, Nagarajan Krishnamurthy, Kapil Ahuja
    http://arxiv.org/abs/2102.01071v1

    • [cs.HC]Child-Computer Interaction: Recent Works, New Dataset, and Age Detection
    Ruben Tolosana, Juan Carlos Ruiz-Garcia, Ruben Vera-Rodriguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fierrez
    http://arxiv.org/abs/2102.01405v1

    • [cs.IT]A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching
    Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
    http://arxiv.org/abs/2102.01643v1

    • [cs.IT]Ambient Backscatter-Assisted Wireless-Powered Relaying
    Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang
    http://arxiv.org/abs/2102.01639v1

    • [cs.IT]Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36
    Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab
    http://arxiv.org/abs/2102.01526v1

    • [cs.IT]Common Randomness Generation over Slow Fading Channels
    Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche
    http://arxiv.org/abs/2102.01197v1

    • [cs.IT]D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
    Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert
    http://arxiv.org/abs/2102.01624v1

    • [cs.IT]Data Freshness in Mixed-Memory Intermittently-Powered Systems
    James Scott Broadhead, Przemysław Pawełczak
    http://arxiv.org/abs/2102.01572v1

    • [cs.IT]Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems
    Salman Khalid, Waqas bin Abbas, Farhan Khalid
    http://arxiv.org/abs/2102.01495v1

    • [cs.IT]Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel
    Oliver Kosut, Michelle Effros, Michael Langberg
    http://arxiv.org/abs/2102.01247v1

    • [cs.IT]Group Testing in the High Dilution Regime
    Gabriel Arpino, Nicolò Grometto, Afonso S. Bandeira
    http://arxiv.org/abs/2102.01200v1

    • [cs.IT]Identification over the Gaussian Channel in the Presence of Feedback
    Wafa Labidi, Holger Boche, Christian Deppe, Moritz Wiese
    http://arxiv.org/abs/2102.01198v1

    • [cs.IT]Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs
    Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan
    http://arxiv.org/abs/2102.01372v1

    • [cs.IT]Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels
    Nizar Khalfet, Ioannis Krikidis
    http://arxiv.org/abs/2102.01328v1

    • [cs.IT]Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach
    Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, and Ekram Hossain
    http://arxiv.org/abs/2102.01232v1

    • [cs.IT]Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems
    Weiheng Jiang, Yu Zhang
    http://arxiv.org/abs/2102.01414v1

    • [cs.IT]Local Differential Privacy Is Equivalent to Contraction of 今日学术视野(2021.2.4) - 图5-Divergence
    Shahab Asoodeh, Maryam Aliakbarpour, Flavio P. Calmon
    http://arxiv.org/abs/2102.01258v1

    • [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates
    Mohammad Moltafet, Markus Leinonen, Marian Codreanu
    http://arxiv.org/abs/2102.01126v1

    • [cs.IT]Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform
    Geonho Han, Sucheol Kim, Junil Choi
    http://arxiv.org/abs/2102.00636v2

    • [cs.IT]On Codes for the Noisy Substring Channel
    Yonatan Yehezkeally, Nikita Polyanskii
    http://arxiv.org/abs/2102.01412v1

    • [cs.IT]On Skew Convolutional and Trellis Codes
    Vladimir Sidorenko, Wenhui Li, Onur Günlü, Gerhard Kramer
    http://arxiv.org/abs/2102.01510v1

    • [cs.IT]On conditional Sibson’s 今日学术视野(2021.2.4) - 图6-Mutual Information
    Amedeo Roberto Esposito, Diyuan Wu, Michael Gasatpar
    http://arxiv.org/abs/2102.00720v2

    • [cs.IT]On optimal relay placement in directional networks
    Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli
    http://arxiv.org/abs/2102.01174v1

    • [cs.IT]Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
    Shu-Jie Cao, Lihui Yi, Haoning Chen, Youlong Wu
    http://arxiv.org/abs/2102.01443v1

    • [cs.IT]Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting
    Bashar Tahir, Stefan Schwarz, Markus Rupp
    http://arxiv.org/abs/2102.01213v1

    • [cs.IT]Permute & Add Network Codes via Group Algebras
    Lakshmi Prasad Natarajan, Smiju Kodamthuruthil Joy
    http://arxiv.org/abs/2102.01519v1

    • [cs.IT]Private Linear Transformation: The Individual Privacy Case
    Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson
    http://arxiv.org/abs/2102.01662v1

    • [cs.IT]Private Linear Transformation: The Joint Privacy Case
    Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson
    http://arxiv.org/abs/2102.01665v1

    • [cs.IT]Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
    Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
    http://arxiv.org/abs/2102.01671v1

    • [cs.IT]Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance
    Elyes Balti, Neji Mensi, Danda B. Rawat
    http://arxiv.org/abs/2102.01160v1

    • [cs.LG]A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
    Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
    http://arxiv.org/abs/2102.01567v1

    • [cs.LG]AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
    Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
    http://arxiv.org/abs/2102.01409v1

    • [cs.LG]Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
    Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin
    http://arxiv.org/abs/2102.01331v1

    • [cs.LG]AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
    Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman
    http://arxiv.org/abs/2102.01386v1

    • [cs.LG]Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
    Bjarne Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars S. Imsland
    http://arxiv.org/abs/2102.01391v1

    • [cs.LG]Benchmarking Quantized Neural Networks on FPGAs with FINN
    Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart
    http://arxiv.org/abs/2102.01341v1

    • [cs.LG]Bit Error Tolerance Metrics for Binarized Neural Networks
    Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
    http://arxiv.org/abs/2102.01344v1

    • [cs.LG]Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
    Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
    http://arxiv.org/abs/2102.01130v1

    • [cs.LG]Depth separation beyond radial functions
    Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
    http://arxiv.org/abs/2102.01621v1

    • [cs.LG]Drift Estimation with Graphical Models
    Luigi Riso, Marco Guerzoni
    http://arxiv.org/abs/2102.01458v1

    • [cs.LG]Evaluating the Interpretability of Generative Models by Interactive Reconstruction
    Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez
    http://arxiv.org/abs/2102.01264v1

    • [cs.LG]FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
    Amirhossein Malekijoo, Mohammad Javad Fadaeieslam, Hanieh Malekijou, Morteza Homayounfar, Farshid Alizadeh-Shabdiz, Reza Rawassizadeh
    http://arxiv.org/abs/2102.01593v1

    • [cs.LG]Fast Exploration of Weight Sharing Opportunities for CNN Compression
    Etienne Dupuis, David Novo, Ian O’Connor, Alberto Bosio
    http://arxiv.org/abs/2102.01345v1

    • [cs.LG]Fast Training of Provably Robust Neural Networks by SingleProp
    Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
    http://arxiv.org/abs/2102.01208v1

    • [cs.LG]Federated Learning in Smart Cities: A Comprehensive Survey
    Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li
    http://arxiv.org/abs/2102.01375v1

    • [cs.LG]Gaussian Experts Selection using Graphical Models
    Hamed Jalali, Martin Pawelczyk, Gjerji Kasneci
    http://arxiv.org/abs/2102.01496v1

    • [cs.LG]Graph Classification Based on Skeleton and Component Features
    Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun
    http://arxiv.org/abs/2102.01428v1

    • [cs.LG]Graph Coarsening with Neural Networks
    Chen Cai, Dingkang Wang, Yusu Wang
    http://arxiv.org/abs/2102.01350v1

    • [cs.LG]GraphDF: A Discrete Flow Model for Molecular Graph Generation
    Youzhi Luo, Keqiang Yan, Shuiwang Ji
    http://arxiv.org/abs/2102.01189v1

    • [cs.LG]Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
    Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli
    http://arxiv.org/abs/2102.01564v1

    • [cs.LG]It’s always personal: Using Early Exits for Efficient On-Device CNN Personalisation
    Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
    http://arxiv.org/abs/2102.01393v1

    • [cs.LG]Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
    Kale-ab Tessera, Sara Hooker, Benjamin Rosman
    http://arxiv.org/abs/2102.01670v1

    • [cs.LG]Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus
    Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab
    http://arxiv.org/abs/2102.01364v1

    • [cs.LG]Metrics and continuity in reinforcement learning
    Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro
    http://arxiv.org/abs/2102.01514v1

    • [cs.LG]Mining Feature Relationships in Data
    Andrew Lensen
    http://arxiv.org/abs/2102.01355v1

    • [cs.LG]Mining Feature Relationships in Data
    Andrew Lensen
    http://arxiv.org/abs/2102.01355v
    1000
    1
    1000
    1)

    • [cs.LG]Multi-modal Ensemble Models for Predicting Video Memorability
    Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland
    http://arxiv.org/abs/2102.01173v1

    • [cs.LG]OPAM: Online Purchasing-behavior Analysis using Machine learning
    Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
    http://arxiv.org/abs/2102.01625v1

    • [cs.LG]Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games
    Steve Hanneke, Roi Livni, Shay Moran
    http://arxiv.org/abs/2102.01646v1

    • [cs.LG]Predicting student performance using data from an auto-grading system
    Huanyi Chen, Paul A. S. Ward
    http://arxiv.org/abs/2102.01270v1

    • [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
    Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Manfred Reichert
    http://arxiv.org/abs/2102.01431v1

    • [cs.LG]Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
    Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang
    http://arxiv.org/abs/2102.01147v1

    • [cs.LG]Real-time detection of uncalibrated sensors using Neural Networks
    Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan P. Dominguez-Morales, Fernando Perez-Peña
    http://arxiv.org/abs/2102.01565v1

    • [cs.LG]Recent Advances in Adversarial Training for Adversarial Robustness
    Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen
    http://arxiv.org/abs/2102.01356v1

    • [cs.LG]Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices
    Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan Izquierdo
    http://arxiv.org/abs/2102.01297v1

    • [cs.LG]Report of the Workshop on Program Synthesis for Scientific Computing
    Hal Finkel, Ignacio Laguna
    http://arxiv.org/abs/2102.01687v1

    • [cs.LG]Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
    Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
    http://arxiv.org/abs/2102.00966v2

    • [cs.LG]SGD Generalizes Better Than GD (And Regularization Doesn’t Help)
    Idan Amir, Tomer Koren, Roi Livni
    http://arxiv.org/abs/2102.01117v1

    • [cs.LG]Scaling Laws for Transfer
    Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish
    http://arxiv.org/abs/2102.01293v1

    • [cs.LG]Size Matters
    Mats L. Richter, Johan Byttner, Ulf Krumnack, Ludwdig Schallner, Justin Shenk
    http://arxiv.org/abs/2102.01582v1

    • [cs.LG]Stability-Constrained Markov Decision Processes Using MPC
    Mario Zanon, Sébastien Gros, Michele Palladino
    http://arxiv.org/abs/2102.01383v1

    • [cs.LG]Strongly Adaptive OCO with Memory
    Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
    http://arxiv.org/abs/2102.01623v1

    • [cs.LG]Super-klust: Another Way of Piecewise Linear Classification
    Rahman Salim Zengin, Volkan Sezer
    http://arxiv.org/abs/2102.01571v1

    • [cs.LG]Symmetric Boolean Factor Analysis with Applications to InstaHide
    Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang
    http://arxiv.org/abs/2102.01570v1

    • [cs.LG]System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring
    Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Rodrigo Sarlo
    http://arxiv.org/abs/2102.01158v1

    • [cs.LG]The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
    Blake Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro
    http://arxiv.org/abs/2102.01583v1

    • [cs.LG]TinyML for Ubiquitous Edge AI
    Stanislava Soro
    http://arxiv.org/abs/2102.01255v1

    • [cs.LG]Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis
    Hrishikesh Dutta, Subir Biswas
    http://arxiv.org/abs/2102.01611v1

    • [cs.LG]Unassisted Noise Reduction of Chemical Reaction Data Sets
    Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino
    http://arxiv.org/abs/2102.01399v1

    • [cs.LG]pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs
    Gagandeep Singh, Deepak Mishra
    http://arxiv.org/abs/2102.01336v1

    • [cs.LO]Verifying the Hashgraph Consensus Algorithm
    Karl Crary
    http://arxiv.org/abs/2102.01167v1

    • [cs.MA]An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours
    Pierre El Mqirmi, Francesco Belardinelli, Borja G. León
    http://arxiv.org/abs/2102.01434v1

    • [cs.MA]Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
    Kai Cui, Heinz Koeppl
    http://arxiv.org/abs/2102.01585v1

    • [cs.MM]Fake-image detection with Robust Hashing
    Miki Tanaka, Kiya Hitoshi
    http://arxiv.org/abs/2102.01313v1

    • [cs.MM]Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
    Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao
    http://arxiv.org/abs/2102.01163v1

    • [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
    Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
    http://arxiv.org/abs/2102.01645v1

    • [cs.NE]Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages
    Jiří Šíma
    http://arxiv.org/abs/2102.01633v1

    • [cs.RO]A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints
    Henry Fielding Cappel
    http://arxiv.org/abs/2102.01641v1

    • [cs.RO]An Open-Source Modular Robotic System for Telepresence and Remote Disinfection
    Andre Potenza, Andrey Kiselev, Alessandro Saffiotti, Amy Loutfi
    http://arxiv.org/abs/2102.01551v1

    • [cs.RO]Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
    Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
    http://arxiv.org/abs/2102.01295v1

    • [cs.RO]Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution
    Hamed Montazer Zohour, Bruno Belzile, David St-Onge
    http://arxiv.org/abs/2102.01217v1

    • [cs.RO]MPC path-planner for autonomous driving solved by genetic algorithm technique
    Stefano Arrigoni, Francesco Braghin, Federico Cheli
    http://arxiv.org/abs/2102.01211v1

    • [cs.RO]Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations
    Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip
    http://arxiv.org/abs/2102.01436v1

    • [cs.RO]Subdimensional Expansion for Multi-objective Multi-agent Path Finding
    Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
    http://arxiv.org/abs/2102.01353v1

    • [cs.RO]Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
    Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie
    http://arxiv.org/abs/2102.01423v1

    • [cs.SD]Deep Music Information Dynamics
    Shlomo Dubnov
    http://arxiv.org/abs/2102.01133v1

    • [cs.SD]PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation
    Yuan Gong, Yu-An Chung, James Glass
    http://arxiv.org/abs/2102.01243v1

    • [cs.SD]SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer
    Pramit Saha, Debasish Ray Mohapatra, Sidney Fels
    http://arxiv.org/abs/2102.01640v1

    • [cs.SD]WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit
    Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei
    http://arxiv.org/abs/2102.01547v1

    • [cs.SE]Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
    Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen
    http://arxiv.org/abs/2102.00826v1

    • [cs.SE]Fast Parametric Model Checking through Model Fragmentation
    Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem
    http://arxiv.org/abs/2102.01490v1

    • [cs.SI]A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter
    Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi
    http://arxiv.org/abs/2102.01148v1

    • [cs.SI]Understanding collective human movement dynamics during large-scale events using big geosocial data analytics
    Junchuan Fan, Kathleen Stewart
    http://arxiv.org/abs/2102.01175v1

    • [econ.EM]Adaptive Random Bandwidth for Inference in CAViaR Models
    Alain Hecq, Li Sun
    http://arxiv.org/abs/2102.01636v1

    • [econ.EM]Efficient Estimation for Staggered Rollout Designs
    Jonathan Roth, Pedro H. C. Sant’Anna
    http://arxiv.org/abs/2102.01291v1

    • [econ.TH]Games on Endogenous Networks
    Benjamin Golub, Evan Sadler
    http://arxiv.org/abs/2102.01587v1

    • [eess.AS]Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
    Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong
    http://arxiv.org/abs/2102.01380v1

    • [eess.AS]Multimodal Attention Fusion for Target Speaker Extraction
    Hiroshi Sato, Tsubasa Ochiai, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Shoko Araki
    http://arxiv.org/abs/2102.01326v1

    • [eess.AS]The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
    Shota Horiguchi, Nelson Yalta, Paola Garcia, Yuki Takashima, Yawen Xue, Desh Raj, Zili Huang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur
    http://arxiv.org/abs/2102.01363v1

    • [eess.AS]Universal Neural Vocoding with Parallel WaveNet
    Yunlong Jiao, Adam Gabrys, Georgi Tinchev, Bartosz Putrycz, Daniel Korzekwa, Viacheslav Klimkov
    http://arxiv.org/abs/2102.01106v1

    • [eess.IV]Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation
    Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin
    http://arxiv.org/abs/2102.00692v1

    • [eess.IV]Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
    Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin
    http://arxiv.org/abs/2102.00682v1

    • [eess.IV]Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
    Ashek Ahmmed, Manoranjan Paul, Manzur Murshed, David Taubman
    http://arxiv.org/abs/2102.01307v1

    • [eess.IV]Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
    Yakun Niu, Benedetta Tondi, Yao Zhao, Rongrong Ni, Mauro Barni
    http://arxiv.org/abs/2102.01439v1

    • [eess.IV]Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
    Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin
    http://arxiv.org/abs/2102.01678v1

    • [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
    Yang Wen
    http://arxiv.org/abs/2102.01549v1

    • [eess.IV]Mobile-end Tone Mapping based on Integral Image and Integral Histogram
    Jie Yang, Mengchen Lin, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht
    http://arxiv.org/abs/2102.01289v1

    • [eess.IV]Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
    Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
    http://arxiv.org/abs/2102.01445v1

    • [eess.IV]Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR
    Aniket Pramanik, Mathews Jacob
    http://arxiv.org/abs/2102.01172v1

    • [eess.IV]Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
    Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo De Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
    http://arxiv.org/abs/2102.01530v1

    • [eess.IV]aura-net : robust segmentation of phase-contrast microscopy images with few annotations
    Ethan Cohen, Virginie Uhlmann
    http://arxiv.org/abs/2102.01389v1

    • [eess.SP]A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
    Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
    http://arxiv.org/abs/2102.01319v1

    • [eess.SY]Development and Simulation-based Testing of a 5G-Connected Intersection AEB System
    Michael Khayyat, Stefano Arrigoni, Federico Cheli
    http://arxiv.org/abs/2102.01590v1

    • [math.OC]Community Detection with a Subsampled Semidefinite Program
    Pedro Abdalla, Afonso S. Bandeira
    http://arxiv.org/abs/2102.01419v1

    • [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
    Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
    http://arxiv.org/abs/2102.01121v1

    • [math.PR]Divergence of an integral of a process with small ball estimate
    Yuliya Mishura, Nakahiro Yoshida
    http://arxiv.org/abs/2102.01616v1

    • [math.ST]An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models
    Alexander G. Tartakovsky
    http://arxiv.org/abs/2102.01306v1

    • [math.ST]Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time
    Alexander G. Tartakovsky, Nikita R. Berenkov, Alexei E. Kolessa, Igor V. Nikiforov
    http://arxiv.org/abs/2102.01310v1

    • [math.ST]Transition kernel couplings of the Metropolis-Hastings algorithm
    John O’Leary, Guanyang Wang
    http://arxiv.org/abs/2102.00366v2

    • [physics.geo-ph]Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
    Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt
    http://arxiv.org/abs/2102.01447v1

    • [physics.soc-ph]A statistical analysis of death rates in Italy for the years 2015—2020 and a comparison with the casualties reported for the COVID-19 pandemic
    Gianluca Bonifazi, Luca Lista, Dario Menasce, Mauro Mezzetto, Alberto Oliva, Daniele Pedrini, Roberto Spighi, Antonio Zoccoli
    http://arxiv.org/abs/2102.01629v1

    • [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
    Rebecca D. pollard, Sara M. Pollard, Scott Streit
    http://arxiv.org/abs/2102.01535v1

    • [q-bio.GN]The Gene Mover’s Distance: Single-cell similarity via Optimal Transport
    Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi
    http://arxiv.org/abs/2102.01218v1

    • [q-bio.NC]When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
    Harikrishnan NB, Nithin Nagaraj
    http://arxiv.org/abs/2102.01316v1

    • [q-fin.CP]A Stochastic Time Series Model for Predicting Financial Trends using NLP
    Pratyush Muthukumar, Jie Zhong
    http://arxiv.org/abs/2102.01290v1

    • [quant-ph]Capacity and quantum geometry of parametrized quantum circuits
    Tobias Haug, Kishor Bharti, M. S. Kim
    http://arxiv.org/abs/2102.01659v1

    • [quant-ph]Conditional distributions for quantum systems
    Arthur J. Parzygnat
    http://arxiv.org/abs/2102.01529v1

    • [stat.AP]Bayesian analysis of population health data
    Dorota Młynarczyk, Carmen Armero, Virgilio Gómez-Rubio, Pedro Puig
    http://arxiv.org/abs/2102.01612v1

    • [stat.AP]Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
    Kristian Lum, David B. Dunson, James Johndrow
    http://arxiv.org/abs/2102.01135v1

    • [stat.AP]Dynamic modeling of mortality via mixtures of skewed distribution functions
    Emanuele Aliverti, Stefano Mazzuco, Bruno Scarpa
    http://arxiv.org/abs/2102.01599v1

    • [stat.AP]Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
    Huang Huang, Stefano Castruccio, Marc G. Genton
    http://arxiv.org/abs/2102.01141v1

    • [stat.ME]Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
    Jieru Shi, Zhenke Wu, Walter Dempsey
    http://arxiv.org/abs/2102.01681v1

    • [stat.ME]Double bootstrapping for visualising the distribution of descriptive statistics of functional data
    Han Lin Shang
    http://arxiv.org/abs/2102.01144v1

    • [stat.ME]G-Formula for Observational Studies with Partial Interference, with Application to Bed Net Use on Malaria
    Kayla W. Kilpatrick, Michael G. Hudgens
    http://arxiv.org/abs/2102.01155v1

    • [stat.ME]Robust Functional Principal Component Analysis for Non-Gaussian Continuous Data to Analyze Physical Activity Data Generated by Accelerometers
    Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang
    http://arxiv.org/abs/2102.01286v1

    • [stat.ML]Beyond the Signs: Nonparametric Tensor Completion via Sign Series
    Chanwoo Lee, Miaoyan Wang
    http://arxiv.org/abs/2102.00
    1000
    384v1
    1000
    384v1)

    • [stat.ML]Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning
    Robert E. McCulloch, Rodney A. Sparapani, Brent R. Logan, Purushottam W. Laud
    http://arxiv.org/abs/2102.01199v1

    • [stat.ML]Doubly Robust Thompson Sampling for linear payoffs
    Wonyoung Kim, Gi-soo Kim, Myunghee Cho Paik
    http://arxiv.org/abs/2102.01229v1

    • [stat.ML]Exact Langevin Dynamics with Stochastic Gradients
    Adrià Garriga-Alonso, Vincent Fortuin
    http://arxiv.org/abs/2102.01691v1

    • [stat.ML]Generalized non-stationary bandits
    Anne Gael Manegueu, Alexandra Carpentier, Yi Yu
    http://arxiv.org/abs/2102.00725v2

    • [stat.ML]Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
    Anthony Devaux, Robin Genuer, Karine Pérès, Cécile Proust-Lima
    http://arxiv.org/abs/2102.01466v1

    • [stat.ML]Policy Analysis using Synthetic Controls in Continuous-Time
    Alexis Bellot, Mihaela van der Schaar
    http://arxiv.org/abs/2102.01577v1

    • [stat.ML]Robust data-driven discovery of partial differential equations with time-dependent coefficients
    Aoxue Chen, Guang Lin
    http://arxiv.org/abs/2102.01432v1

    • [stat.ML]Stability and Generalization of the Decentralized Stochastic Gradient Descent
    Tao Sun, Dongsheng Li, Bao Wang
    http://arxiv.org/abs/2102.01302v1

    • [stat.ML]Time Adaptive Gaussian Model
    Federico Cieca, Veronica Tozzo
    http://arxiv.org/abs/2102.01238v1