cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Formalising Concepts as Grounded Abstractions
    • [cs.AI]Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition
    • [cs.AI]Scalable Anytime Planning for Multi-Agent MDPs
    • [cs.AI]Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning
    • [cs.AR]Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration
    • [cs.CE]Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization
    • [cs.CE]Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning
    • [cs.CE]Bayesian neural networks for weak solution of PDEs with uncertainty quantification
    • [cs.CL]Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
    • [cs.CL]Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task
    • [cs.CL]Evaluation of Deep Learning Models for Hostility Detection in Hindi Text
    • [cs.CL]EventPlus: A Temporal Event Understanding Pipeline
    • [cs.CL]Experimental Evaluation of Deep Learning models for Marathi Text Classification
    • [cs.CL]Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
    • [cs.CL]Is the User Enjoying the Conversation? A Case Study on the Impact on the Reward Function
    • [cs.CL]LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT
    • [cs.CL]Latent Alignment of Procedural Concepts in Multimodal Recipes
    • [cs.CL]Of Non-Linearity and Commutativity in BERT
    • [cs.CL]On consistency scores in text data with an implementation in R
    • [cs.CL]Robustness Gym: Unifying the NLP Evaluation Landscape
    • [cs.CL]Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
    • [cs.CL]Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration
    • [cs.CR]Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment
    • [cs.CR]Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use
    • [cs.CR]Small Input Noise is Enough to Defend Against Query-based Black-box Attacks
    • [cs.CV]A Compact Deep Learning Model for Face Spoofing Detection
    • [cs.CV]ABS: Automatic Bit Sharing for Model Compression
    • [cs.CV]Binary TTC: A Temporal Geofence for Autonomous Navigation
    • [cs.CV]Boundary-Aware Segmentation Network for Mobile and Web Applications
    • [cs.CV]COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
    • [cs.CV]CityFlow-NL: Tracking and Retrieval of Vehicles at City Scaleby Natural Language Descriptions
    • [cs.CV]Cross-Modal Contrastive Learning for Text-to-Image Generation
    • [cs.CV]Digital Elevation Model enhancement using Deep Learning
    • [cs.CV]DuctTake: Spatiotemporal Video Compositing
    • [cs.CV]EEC: Learning to Encode and Regenerate Images for Continual Learning
    • [cs.CV]Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
    • [cs.CV]Explicit homography estimation improves contrastive self-supervised learning
    • [cs.CV]FaceX-Zoo: A PyTorch Toolbox for Face Recognition
    • [cs.CV]Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
    • [cs.CV]Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
    • [cs.CV]Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
    • [cs.CV]Large scale deduplication based on fingerprints
    • [cs.CV]Learning to Anticipate Egocentric Actions by Imagination
    • [cs.CV]Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
    • [cs.CV]Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
    • [cs.CV]Memory-Augmented Reinforcement Learning for Image-Goal Navigation
    • [cs.CV]Piano Skills Assessment
    • [cs.CV]Probabilistic Embeddings for Cross-Modal Retrieval
    • [cs.CV]Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
    • [cs.CV]Road images augmentation with synthetic traffic signs using neural networks
    • [cs.CV]SEED: Self-supervised Distillation For Visual Representation
    • [cs.CV]Supervised deep learning of elastic SRV distances on the shape space of curves
    • [cs.CV]Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
    • [cs.CV]Urban land-use analysis using proximate sensing imagery: a survey
    • [cs.CV]Video action recognition for lane-change classification and prediction of surrounding vehicles
    • [cs.CY]A Digital Currency Architecture for Privacy and Owner-Custodianship
    • [cs.CY]Demystifying Removed Apps in iOS App Store
    • [cs.CY]Sharing Heartbeats: Motivations of Citizen Scientists in Times of Crises
    • [cs.CY]Understanding Diffusion of Recurrent Innovations
    • [cs.DC]Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup
    • [cs.DC]Towards Mobile Distributed Ledgers
    • [cs.GR]ARC: Alignment-based Redirection Controller for Redirected Walking in Complex Environments
    • [cs.HC]EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
    • [cs.HC]Expanding Explainability: Towards Social Transparency in AI systems
    • [cs.HC]Moderation Challenges in Voice-based Online Communities on Discord
    • [cs.HC]What Makes a Dark Pattern… Dark? Design Attributes, Normative Considerations, and Measurement Methods
    • [cs.HC]Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
    • [cs.IR]Discrete Knowledge Graph Embedding based on Discrete Optimization
    • [cs.IR]Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
    • [cs.IR]Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
    • [cs.IR]Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
    • [cs.IT]Distributed storage algorithms with optimal tradeoffs
    • [cs.IT]Energy-Efficient Node Deployment in Static and Mobile Heterogeneous Multi-Hop Wireless Sensor Networks
    • [cs.IT]Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
    • [cs.IT]Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
    • [cs.IT]Low Latency Scheduling Algorithms for Full-Duplex V2X Networks
    • [cs.IT]Over-The-Air Computation in Correlated Channels
    • [cs.IT]Random Fourier Feature Based Deep Learning for Wireless Communications
    • [cs.IT]The extended binary quadratic residue code of length 42 holds a 3-design
    • [cs.IT]Two-Level Private Information Retrieval
    • [cs.IT]Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing
    • [cs.LG]A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles
    • [cs.LG]A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
    • [cs.LG]Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
    • [cs.LG]Asymmetric self-play for automatic goal discovery in robotic manipulation
    • [cs.LG]Behavioral Model Inference of Black-box Software using Deep Neural Networks
    • [cs.LG]CobBO: Coordinate Backoff Bayesian Optimization
    • [cs.LG]Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
    • [cs.LG]Convolutional Neural Nets: Foundations, Computations, and New Applications
    • [cs.LG]Convolutional Neural Network Simplification with Progressive Retraining
    • [cs.LG]Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
    • [cs.LG]Denoising Score Matching with Random Fourier Features
    • [cs.LG]Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
    • [cs.LG]Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals
    • [cs.LG]Fast convolutional neural networks on FPGAs with hls4ml
    • [cs.LG]Forecasting glycaemia in Type 1 Diabetes Mellitus with univariate ML algorithms
    • [cs.LG]Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
    • [cs.LG]Linear Representation Meta-Reinforcement Learning for Instant Adaptation
    • [cs.LG]MC-LSTM: Mass-Conserving LSTM
    • [cs.LG]Multi-Source Anomaly Detection in Distributed IT Systems
    • [cs.LG]Neural Sequence-to-grid Module for Learning Symbolic Rules
    • [cs.LG]Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
    • [cs.LG]Personalized Federated Deep Learning for Pain Estimation From Face Images
    • [cs.LG]Reproducing Activation Function for Deep Learning
    • [cs.LG]Sequential IoT Data Augmentation using Generative Adversarial Networks
    • [cs.LG]Temporal Knowledge Graph Forecasting with Neural ODE
    • [cs.LG]Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
    • [cs.LG]Towards Interpretable Ensemble Learning for Image-based Malware Detection
    • [cs.LG]Unlearnable Examples: Making Personal Data Unexploitable
    • [cs.MA]GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability
    • [cs.NE]A threshold search based memetic algorithm for the disjunctively constrained knapsack problem
    • [cs.NI]A Multi-Perspective Study of Internet Performance during the COVID-19 Outbreak
    • [cs.NI]Randomized Scheduling of Real-Time Traffic in Wireless Networks Over Fading Channels
    • [cs.PL]MLGO: a Machine Learning Guided Compiler Optimizations Framework
    • [cs.RO]A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
    • [cs.RO]Bootstrapping Motor Skill Learning with Motion Planning
    • [cs.RO]Comparative Analysis of Agent-Oriented Task Assignment and Path Planning Algorithms Applied to Drone Swarms
    • [cs.RO]Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot
    • [cs.RO]Finite-time disturbance reconstruction and robust fractional-order controller design for hybrid port-Hamiltonian dynamics of biped robots
    • [cs.RO]Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders
    • [cs.RO]I Can See it in Your Eyes: Gaze towards a Robot as an Implicit Cue of Uncanniness and Task Performance in Long-term Interactions
    • [cs.RO]Latency Overhead of ROS2 for Modular Time-Critical Systems
    • [cs.RO]Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain
    • [cs.RO]Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS
    • [cs.RO]Robust GPS-Vision Localization via Integrity-Driven Landmark Attention
    • [cs.RO]Singularity-free Aerial Deformation by Two-dimensional Multilinked Aerial Robot with 1-DoF Vectorable Propeller
    • [cs.RO]Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
    • [cs.SD]End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN
    • [cs.SD]MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN
    • [cs.SD]Practical Speech Re-use Prevention in Voice-driven Services
    • [cs.SE]An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
    • [cs.SE]Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
    • [cs.SI]Overlapping Community Detection in Temporal Text Networks
    • [cs.SI]People, Places, and Ties: Landscape of social places and their social network structures
    • [cs.SI]Publishing patterns reflect political polarization in news media
    • [cs.SI]RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions
    • [eess.AS]Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks
    • [eess.AS]Learning Efficient Representations for Keyword Spotting with Triplet Loss
    • [eess.IV]A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
    • [eess.IV]A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks
    • [eess.IV]Big Self-Supervised Models Advance Medical Image Classification
    • [eess.IV]DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
    • [eess.IV]Generative Adversarial U-Net for Domain-free Medical Image Augmentation
    • [eess.IV]Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images
    • [eess.IV]MRI Images, Brain Lesions and Deep Learning
    • [eess.IV]Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
    • [eess.IV]Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
    • [eess.IV]Using uncertainty estimation to reduce false positives in liver lesion detection
    • [eess.IV]VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
    • [eess.SP]Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
    • [eess.SP]Model-Based Machine Learning for Communications
    • [eess.SY]Neuro-Reachability of Networked Microgrids
    • [math.NA]Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression
    • [math.OC]Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
    • [math.PR]Some characterisation results on classical and free Poisson thinning
    • [math.ST]A unified framework for correlation mining in ultra-high dimension
    • [math.ST]Enriched standard conjugate priors and the right invariant prior for Wishart distributions
    • [math.ST]Maximum likelihood estimation for spinal-structured trees
    • [math.ST]PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
    • [math.ST]Variable bandwidth kernel regression estimation
    • [physics.flu-dyn]UCNN: A Convolutional Strategy on Unstructured Mesh
    • [physics.geo-ph]Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events
    • [q-bio.QM]Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
    • [stat.AP]Decision Support for COVID-19 Policy Including Poverty Drivers
    • [stat.AP]Estimating causes of maternal death in data-sparse contexts
    • [stat.ME]A Latent Variable Model for Relational Events with Multiple Receivers
    • [stat.ME]A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient
    • [stat.ME]Concurrent Object Regression
    • [stat.ME]Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
    • [stat.ME]Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
    • [stat.ME]Multivariate phase-type theory for the site frequency spectrum
    • [stat.ML]Graph Filtering for Improving the Accuracy of Classification problems
    • [stat.ML]Learning with Gradient Descent and Weakly Convex Losses
    • [stat.ML]Multiscale regression on unknown manifolds
    • [stat.ML]On Misspecification in Prediction Problems and Robustness via Improper Learning

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

    • [cs.AI]Formalising Concepts as Grounded Abstractions
    Stephen Clark, Alexander Lerchner, Tamara von Glehn, Olivier Tieleman, Richard Tanburn, Misha Dashevskiy, Matko Bosnjak
    http://arxiv.org/abs/2101.05125v1

    • [cs.AI]Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition
    Dorit S. Hochbaum, Erick Moreno-Centeno
    http://arxiv.org/abs/2101.04765v1

    • [cs.AI]Scalable Anytime Planning for Multi-Agent MDPs
    Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
    http://arxiv.org/abs/2101.04788v1

    • [cs.AI]Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning
    Stassa Patsantzis, Stephen H. Muggleton
    http://arxiv.org/abs/2101.05050v1

    • [cs.AR]Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration
    Ananda Samajdar, Michael Pellauer, Tushar Krishna
    http://arxiv.org/abs/2101.04799v1

    • [cs.CE]Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization
    Yuyang Wang, Kenji Shimada, Amir Barati Farimani
    http://arxiv.org/abs/2101.04757v1

    • [cs.CE]Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning
    Quirin Göttl, Dominik G. Grimm, Jakob Burger
    http://arxiv.org/abs/2101.04422v1

    • [cs.CE]Bayesian neural networks for weak solution of PDEs with uncertainty quantification
    Xiaoxuan Zhang, Krishna Garikipati
    http://arxiv.org/abs/2101.04879v1

    • [cs.CL]Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
    Arkadipta De, Venkatesh E, Kaushal Kumar Maurya, Maunendra Sankar Desarkar
    http://arxiv.org/abs/2101.04998v1

    • [cs.CL]Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task
    Thomas Felber
    http://arxiv.org/abs/2101.03717v2

    • [cs.CL]Evaluation of Deep Learning Models for Hostility Detection in Hindi Text
    Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi
    http://arxiv.org/abs/2101.04144v2

    • [cs.CL]EventPlus: A Temporal Event Understanding Pipeline
    Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng
    http://arxiv.org/abs/2101.04922v1

    • [cs.CL]Experimental Evaluation of Deep Learning models for Marathi Text Classification
    Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Jayashree Jagdale, Raviraj Joshi
    http://arxiv.org/abs/2101.04899v1

    • [cs.CL]Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
    Ieva Staliūnaitė, Philip John Gorinski, Ignacio Iacobacci
    http://arxiv.org/abs/2101.04966v1

    • [cs.CL]Is the User Enjoying the Conversation? A Case Study on the Impact on the Reward Function
    Lina M. Rojas-Barahona
    http://arxiv.org/abs/2101.05004v1

    • [cs.CL]LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT
    Mohammed Azhan, Mohammad Ahmad
    http://arxiv.org/abs/2101.04965v1

    • [cs.CL]Latent Alignment of Procedural Concepts in Multimodal Recipes
    Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal, Parisa Kordjamshidi
    http://arxiv.org/abs/2101.04727v1

    • [cs.CL]Of Non-Linearity and Commutativity in BERT
    Sumu Zhao, Damian Pascual, Gino Brunner, Roger Wattenhofer
    http://arxiv.org/abs/2101.04547v2

    • [cs.CL]On consistency scores in text data with an implementation in R
    Ke-Li Chiu, Rohan Alexander
    http://arxiv.org/abs/2101.05225v1

    • [cs.CL]Robustness Gym: Unifying the NLP Evaluation Landscape
    Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré
    http://arxiv.org/abs/2101.04840v1

    • [cs.CL]Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
    Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan
    http://arxiv.org/abs/2101.04758v1

    • [cs.CL]Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration
    B. Mansurov, A. Mansurov
    http://arxiv.org/abs/2101.05162v1

    • [cs.CR]Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment
    Mahnush Movahedi, Benjamin M. Case, Andrew Knox, Li Li, Yiming Paul Li, Sanjay Saravanan, Shubho Sengupta, Erik Taubeneck
    http://arxiv.org/abs/2101.04766v1

    • [cs.CR]Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use
    Brian Lee, Brandi Dupervil, Nicholas P. Deputy, Wil Duck, Stephen Soroka, Lyndsay Bottichio, Benjamin Silk, Jason Price, Patricia Sweeney, Jennifer Fuld, Todd Weber, Dan Pollock
    http://arxiv.org/abs/2101.05093v1

    • [cs.CR]Small Input Noise is Enough to Defend Against Query-based Black-box Attacks
    Junyoung Byun, Hyojun Go, Changick Kim
    http://arxiv.org/abs/2101.04829v1

    • [cs.CV]A Compact Deep Learning Model for Face Spoofing Detection
    Seyedkooshan Hashemifard, Mohammad Akbari
    http://arxiv.org/abs/2101.04756v1

    • [cs.CV]ABS: Automatic Bit Sharing for Model Compression
    Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan
    http://arxiv.org/abs/2101.04935v1

    • [cs.CV]Binary TTC: A Temporal Geofence for Autonomous Navigation
    Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
    http://arxiv.org/abs/2101.04777v1

    • [cs.CV]Boundary-Aware Segmentation Network for Mobile and Web Applications
    Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant’Anna, Albert Suàrez, Martin Jagersand, Ling Shao
    http://arxiv.org/abs/2101.04704v1

    • [cs.CV]COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
    Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
    http://arxiv.org/abs/2101.04909v1

    • [cs.CV]CityFlow-NL: Tracking and Retrieval of Vehicles at City Scaleby Natural Language Descriptions
    Qi Feng, Vitaly Ablavsky, Stan Sclaroff
    http://arxiv.org/abs/2101.04741v1

    • [cs.CV]Cross-Modal Contrastive Learning for Text-to-Image Generation
    Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang
    http://arxiv.org/abs/2101.04702v1

    • [cs.CV]Digital Elevation Model enhancement using Deep Learning
    Casey Handmer
    http://arxiv.org/abs/2101.04812v1

    • [cs.CV]DuctTake: Spatiotemporal Video Compositing
    Jan Rueegg, Oliver Wang, Aljoscha Smolic, Markus Gross
    http://arxiv.org/abs/2101.04772v1

    • [cs.CV]EEC: Learning to Encode and Regenerate Images for Continual Learning
    Ali Ayub, Alan R. Wagner
    http://arxiv.org/abs/2101.04904v1

    • [cs.CV]Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
    Ali Harakeh, Steven L. Waslander
    http://arxiv.org/abs/2101.05036v1

    • [cs.CV]Explicit homography estimation improves contrastive self-supervised learning
    David Torpey, Richard Klein
    http://arxiv.org/abs/2101.04713v1

    • [cs.CV]FaceX-Zoo: A PyTorch Toolbox for Face Recognition
    Jun Wang, Yinglu Liu, Yibo Hu, Hailin Shi, Tao Mei
    http://arxiv.org/abs/2101.04407v2

    • [cs.CV]Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
    Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang
    http://arxiv.org/abs/2101.04838v1

    • [cs.CV]Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
    Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan Williams, Hossein Rahmani, Plamen Angelov, Sue Black
    http://arxiv.org/abs/2101.05260v1

    • [cs.CV]Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
    Xinghong Qin, Shunquan Tan, Bin Li, Weixuan Tang, Jiwu Huang
    http://arxiv.org/abs/2101.05209v1

    • [cs.CV]Large scale deduplication based on fingerprints
    Jean Aymar Biyiha Nlend, Ibrahim Moukouop Nguena, Thomas Bouetou Bouetou
    http://arxiv.org/abs/2101.04976v1

    • [cs.CV]Learning to Anticipate Egocentric Actions by Imagination
    Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu
    http://arxiv.org/abs/2101.04924v1

    • [cs.CV]Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
    Mengting Chen, Xinggang Wang, Heng Luo, Yifeng Geng, Wenyu Liu
    http://arxiv.org/abs/2101.05018v1

    • [cs.CV]Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
    Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie M. Caldwell, Garrett A. Osswald, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir
    http://arxiv.org/abs/2101.04989v1

    • [cs.CV]Memory-Augmented Reinforcement Learning for Image-Goal Navigation
    Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari
    http://arxiv.org/abs/2101.05181v1

    • [cs.CV]Piano Skills Assessment
    Paritosh Parmar, Jaiden Reddy, Brendan Morris
    http://arxiv.org/abs/2101.04884v1

    • [cs.CV]Probabilistic Embeddings for Cross-Modal Retrieval
    Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
    http://arxiv.org/abs/2101.05068v1

    • [cs.CV]Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
    Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
    http://arxiv.org/abs/2101.05022v1

    • [cs.CV]Road images augmentation with synthetic traffic signs using neural networks
    Anton Konushin, Boris Faizov, Vlad Shakhuro
    http://arxiv.org/abs/2101.04927v1

    • [cs.CV]SEED: Self-supervised Distillation For Visual Representation
    Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu
    http://arxiv.org/abs/2101.04731v1

    • [cs.CV]Supervised deep learning of elastic SRV distances on the shape space of curves
    Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer
    http://arxiv.org/abs/2101.04929v1

    • [cs.CV]Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
    Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
    http://arxiv.org/abs/2101.04775v1

    • [cs.CV]Urban land-use analysis using proximate sensing imagery: a survey
    Zhinan Qiao, Xiaohui Yuan
    http://arxiv.org/abs/2101.04827v1

    • [cs.CV]Video action recognition for lane-change classification and prediction of surrounding vehicles
    Mahdi Biparva, David Fernández-Llorca, Rubén Izquierdo-Gonzalo, John K. Tsotsos
    http://arxiv.org/abs/2101.05043v1

    • [cs.CY]A Digital Currency Architecture for Privacy and Owner-Custodianship
    Geoffrey Goodell, Hazem Danny Al-Nakib, Paolo Tasca
    http://arxiv.org/abs/2101.05259v1

    • [cs.CY]Demystifying Removed Apps in iOS App Store
    Fuqi Lin
    http://arxiv.org/abs/2101.05100v1

    • [cs.CY]Sharing Heartbeats: Motivations of Citizen Scientists in Times of Crises
    Daniel Diethei, Jasmin Niess, Carolin Stellmacher, Evropi Stefanidi, Johannes Schöning
    http://arxiv.org/abs/2101.04913v1

    • [cs.CY]Understanding Diffusion of Recurrent Innovations
    Fuqi Lin
    http://arxiv.org/abs/2101.05094v1

    • [cs.DC]Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup
    Desiree M. Carvalho, Mariá C. V. Nascimento
    http://arxiv.org/abs/2101.04677v1

    • [cs.DC]Towards Mobile Distributed Ledgers
    Dimitris Chatzopoulos, Anurag Jain, Sujit Gujar, Boi Faltings, Pan Hui
    http://arxiv.org/abs/2101.04825v1

    • [cs.GR]ARC: Alignment-based Redirection Controller for Redirected Walking in Complex Environments
    Niall L. Williams, Aniket Bera, Dinesh Manocha
    http://arxiv.org/abs/2101.04912v1

    • [cs.HC]EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
    Dazhen Deng, Jiang Wu, Jiachen Wang, Yihong Wu, Xiao Xie, Zheng Zhou, Hui Zhang, Xiaolong Zhang, Yingcai Wu
    http://arxiv.org/abs/2101.04954v1

    • [cs.HC]Expanding Explainability: Towards Social Transparency in AI systems
    Upol Ehsan, Q. Vera Liao, Michael Muller, Mark O. Riedl, Justin D. Weisz
    http://arxiv.org/abs/2101.04719v1

    • [cs.HC]Moderation Challenges in Voice-based Online Communities on Discord
    Jialun Aaron Jiang, Charles Kiene, Skyler Middler, Jed R. Brubaker, Casey Fiesler
    http://arxiv.org/abs/2101.05258v1

    • [cs.HC]What Makes a Dark Pattern… Dark? Design Attributes, Normative Considerations, and Measurement Methods
    Arunesh Mathur, Jonathan Mayer, Mihir Kshirsagar
    http://arxiv.org/abs/2101.04843v1

    • [cs.HC]Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
    Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee, Niloufar Salehi, Aditya Parameswaran
    http://arxiv.org/abs/2101.04834v1

    • [cs.IR]Discrete Knowledge Graph Embedding based on Discrete Optimization
    Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
    http://arxiv.org/abs/2101.04817v1

    • [cs.IR]Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
    Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin
    http://arxiv.org/abs/2101.04850v1

    • [cs.IR]Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
    Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
    http://arxiv.org/abs/2101.04852v1

    • [cs.IR]Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
    Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
    http://arxiv.org/abs/2101.04849v1

    • [cs.IT]Distributed storage algorithms with optimal tradeoffs
    Michael Luby, Thomas Richardson
    http://arxiv.org/abs/2101.05223v1

    • [cs.IT]Energy-Efficient Node Deployment in Static and Mobile Heterogeneous Multi-Hop Wireless Sensor Networks
    Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani
    http://arxiv.org/abs/2101.04780v1

    • [cs.IT]Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
    Alexander Marx, Lincen Ya
    1000
    ng, Matthijs van Leeuwen
    http://arxiv.org/abs/2101.05009v1

    • [cs.IT]Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
    Bruno Clerckx, Yijie Mao, Robert Schober, Eduard Jorswieck, David J. Love, Jinhong Yuan, Lajos Hanzo, Geoffrey Ye Li, Erik G. Larsson, Giuseppe Caire
    http://arxiv.org/abs/2101.04802v1

    • [cs.IT]Low Latency Scheduling Algorithms for Full-Duplex V2X Networks
    Michail Palaiologos, Jian Luo, Richard A. Stirling-Gallacher, Giuseppe Caire
    http://arxiv.org/abs/2101.05127v1

    • [cs.IT]Over-The-Air Computation in Correlated Channels
    Matthias Frey, Igor Bjelakovic, Slawomir Stanczak
    http://arxiv.org/abs/2101.04690v1

    • [cs.IT]Random Fourier Feature Based Deep Learning for Wireless Communications
    Rangeet Mitra, Georges Kaddoum
    http://arxiv.org/abs/2101.05254v1

    • [cs.IT]The extended binary quadratic residue code of length 42 holds a 3-design
    Alexis Bonnecaze, Patrick Solé
    http://arxiv.org/abs/rg/abs/2101.03225v1

    • [cs.IT]Two-Level Private Information Retrieval
    Ruida Zhou, Chao Tian, Hua Sun, James Plank
    http://arxiv.org/abs/2101.04821v1

    • [cs.IT]Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing
    Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
    http://arxiv.org/abs/2101.04810v1

    • [cs.LG]A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles
    Marcelo Bacher, Irad Ben-Gal, Erez Shmueli
    http://arxiv.org/abs/2101.04932v1

    • [cs.LG]**AHAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
    Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed Sabry Aly, Jie Lin, Vijay Chandrasekhar
    http://arxiv.org/abs/2101.04859v1

    • [cs.LG]Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
    Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei
    http://arxiv.org/abs/2101.04853v1

    • [cs.LG]Asymmetric self-play for automatic goal discovery in robotic manipulation
    OpenAI OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D’Sa, Arthur Petron, Henrique Ponde de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba
    http://arxiv.org/abs/2101.04882v1

    • [cs.LG]Behavioral Model Inference of Black-box Software using Deep Neural Networks
    Mohammad Jafar Mashhadi, Foozhan Ataiefard, Hadi Hemmati, Niel Walkinshaw
    http://arxiv.org/abs/2101.04948v1

    • [cs.LG]CobBO: Coordinate Backoff Bayesian Optimization
    Jian Tan, Niv Nayman, Mengchang Wang, Rong Jin
    http://arxiv.org/abs/2101.05147v1

    • [cs.LG]Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
    Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare
    http://arxiv.org/abs/2101.05265v1

    • [cs.LG]Convolutional Neural Nets: Foundations, Computations, and New Applications
    Shengli Jiang, Victor M. Zavala
    http://arxiv.org/abs/2101.04869v1

    • [cs.LG]Convolutional Neural Network Simplification with Progressive Retraining
    D. Osaku, J. F. Gomes, A. X. Falcão
    http://arxiv.org/abs/2101.04699v1

    • [cs.LG]Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
    Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
    http://arxiv.org/abs/2101.04073v2

    • [cs.LG]Denoising Score Matching with Random Fourier Features
    Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets
    http://arxiv.org/abs/2101.05239v1

    • [cs.LG]Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
    Michael Allen, Kerry Pearn, Tom Monks
    http://arxiv.org/abs/2101.04434v2

    • [cs.LG]Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals
    A. Danaee, R. C. de Lamare, V. H. Nascimento
    http://arxiv.org/abs/2101.04824v1

    • [cs.LG]Fast convolutional neural networks on FPGAs with hls4ml
    Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
    http://arxiv.org/abs/2101.05108v1

    • [cs.LG]Forecasting glycaemia in Type 1 Diabetes Mellitus with univariate ML algorithms
    Ignacio Rodriguez
    http://arxiv.org/abs/2101.04770v1

    • [cs.LG]Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
    Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
    http://arxiv.org/abs/2101.04997v1

    • [cs.LG]Linear Representation Meta-Reinforcement Learning for Instant Adaptation
    Matt Peng, Banghua Zhu, Jiantao Jiao
    http://arxiv.org/abs/2101.04750v1

    • [cs.LG]MC-LSTM: Mass-Conserving LSTM
    Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
    http://arxiv.org/abs/2101.05186v1

    • [cs.LG]Multi-Source Anomaly Detection in Distributed IT Systems
    Jasmin Bogatinovski, Sasho Nedelkoski
    http://arxiv.org/abs/2101.04977v1

    • [cs.LG]Neural Sequence-to-grid Module for Learning Symbolic Rules
    Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung
    http://arxiv.org/abs/2101.04921v1

    • [cs.LG]Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
    Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri
    http://arxiv.org/abs/2101.03367v2

    • [cs.LG]Personalized Federated Deep Learning for Pain Estimation From Face Images
    Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard
    http://arxiv.org/abs/2101.04800v1

    • [cs.LG]Reproducing Activation Function for Deep Learning
    Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang
    http://arxiv.org/abs/2101.04844v1

    • [cs.LG]Sequential IoT Data Augmentation using Generative Adversarial Networks
    Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl
    http://arxiv.org/abs/2101.05003v1

    • [cs.LG]Temporal Knowledge Graph Forecasting with Neural ODE
    Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp
    http://arxiv.org/abs/2101.05151v1

    • [cs.LG]Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
    Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang
    http://arxiv.org/abs/2101.04866v1

    • [cs.LG]Towards Interpretable Ensemble Learning for Image-based Malware Detection
    Yuzhou Lin, Xiaolin Chang
    http://arxiv.org/abs/2101.04889v1

    • [cs.LG]Unlearnable Examples: Making Personal Data Unexploitable
    Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
    http://arxiv.org/abs/2101.04898v1

    • [cs.MA]GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability
    Sriramya Bhamidipati, Grace Xingxin Gao
    http://arxiv.org/abs/2101.04835v1

    • [cs.NE]A threshold search based memetic algorithm for the disjunctively constrained knapsack problem
    Zequn Wei, Jin-Kao Hao
    http://arxiv.org/abs/2101.04753v1

    • [cs.NI]A Multi-Perspective Study of Internet Performance during the COVID-19 Outbreak
    Ahmed Elmokashfi, Alfred Arouna, Ioana Livadariu, Mah-Rukh Fida, Amund Kvalbein, Anas Al-Selwi, Thomas Dreibholz, Haakon Bryhni
    http://arxiv.org/abs/2101.05030v1

    • [cs.NI]Randomized Scheduling of Real-Time Traffic in Wireless Networks Over Fading Channels
    Christos Tsanikidis, Javad Ghaderi
    http://arxiv.org/abs/2101.04815v1

    • [cs.PL]MLGO: a Machine Learning Guided Compiler Optimizations Framework
    Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li
    http://arxiv.org/abs/2101.04808v1

    • [cs.RO]A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
    Maxwell Emerson, James M. Ferguson, Tayfun Efe Ertop, Margaret Rox, Josephine Granna, Michael Lester, Fabien Maldonado, Erin A. Gillaspie, Ron Alterovitz, Robert J. Webster III., Alan Kuntz
    http://arxiv.org/abs/2101.04856v1

    • [cs.RO]Bootstrapping Motor Skill Learning with Motion Planning
    Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Konidaris
    http://arxiv.org/abs/2101.04736v1

    • [cs.RO]Comparative Analysis of Agent-Oriented Task Assignment and Path Planning Algorithms Applied to Drone Swarms
    Rohith Gandhi Ganesan, Samantha Kappagoda, Giuseppe Loianno, David K. A. Mordecai
    http://arxiv.org/abs/2101.05161v1

    • [cs.RO]Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot
    Beatriz Arruda Asfora
    http://arxiv.org/abs/2101.04804v1

    • [cs.RO]Finite-time disturbance reconstruction and robust fractional-order controller design for hybrid port-Hamiltonian dynamics of biped robots
    Yousef Farid, Fabio Ruggiero
    http://arxiv.org/abs/2101.04974v1

    • [cs.RO]Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders
    Jonas Weigand, Nigora Gafur, Martin Ruskowski
    http://arxiv.org/abs/2101.04992v1

    • [cs.RO]I Can See it in Your Eyes: Gaze towards a Robot as an Implicit Cue of Uncanniness and Task Performance in Long-term Interactions
    Giulia Perugia, Maike Paetzel-Prüsmann, Madelene Alanenpää, Ginevra Castellano
    http://arxiv.org/abs/2101.05028v1

    • [cs.RO]Latency Overhead of ROS2 for Modular Time-Critical Systems
    Tobias Kronauer, Joshwa Pohlmann, Maximilian Matthe, Till Smejkal, Gerhard Fettweis
    http://arxiv.org/abs/2101.02074v2

    • [cs.RO]Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain
    Abhishek D. Patange, Sharad S. Mulik, R. Jegadeeshwaran, Dhananjay R. Jadhav, Prateek J. Ghatage, Gaurav R. Doshi, Rushikesh V Raykar
    http://arxiv.org/abs/2101.04952v1

    • [cs.RO]Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS
    Benjamin Congram, Timothy D. Barfoot
    http://arxiv.org/abs/2101.05107v1

    • [cs.RO]Robust GPS-Vision Localization via Integrity-Driven Landmark Attention
    Sriramya Bhamidipati, Grace Xingxin Gao
    http://arxiv.org/abs/2101.04836v1

    • [cs.RO]Singularity-free Aerial Deformation by Two-dimensional Multilinked Aerial Robot with 1-DoF Vectorable Propeller
    Moju Zhao, Tomoki Anzai, Kei Okada, Masayuki Inaba
    http://arxiv.org/abs/2101.04892v1

    • [cs.RO]Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
    Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber
    http://arxiv.org/abs/2101.04781v1

    • [cs.SD]End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN
    Manav Kaushik, Van Tung Pham, Eng Siong Chng
    http://arxiv.org/abs/2101.05056v1

    • [cs.SD]MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN
    Korneel van den Broek
    http://arxiv.org/abs/2101.04785v1

    • [cs.SD]Practical Speech Re-use Prevention in Voice-driven Services
    Yangyong Zhang, Maliheh Shirvanian, Sunpreet S. Arora, Jianwei Huang, Guofei Gu
    http://arxiv.org/abs/2101.04773v1

    • [cs.SE]An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
    Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu
    http://arxiv.org/abs/2101.04930v1

    • [cs.SE]Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
    Franz J. Király, Markus Löning, Anthony Blaom, Ahmed Guecioueur, Raphael Sonabend
    http://arxiv.org/abs/2101.04938v1

    • [cs.SI]Overlapping Community Detection in Temporal Text Networks
    Shuhan Yan, Yuting Jia, Xinbing Wang
    http://arxiv.org/abs/2101.05137v1

    • [cs.SI]People, Places, and Ties: Landscape of social places and their social network structures
    Jaehyuk Park, Bogdan State, Monica Bhole, Michael C. Bailey, Yong-Yeol Ahn
    http://arxiv.org/abs/2101.04737v1

    • [cs.SI]Publishing patterns reflect political polarization in news media
    Nick Hagar, Emőke-Ágnes Horvát, Johannes Wachs
    http://arxiv.org/abs/2101.05044v1

    • [cs.SI]RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions
    Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal
    http://arxiv.org/abs/2101.04751v1

    • [eess.AS]Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks
    Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
    http://arxiv.org/abs/2101.05014v1

    • [eess.AS]Learning Efficient Representations for Keyword Spotting with Triplet Loss
    Roman Vygon, Nikolay Mikhaylovskiy
    http://arxiv.org/abs/2101.04792v1

    • [eess.IV]A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
    Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi
    http://arxiv.org/abs/2101.05021v1

    • [eess.IV]A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks
    Alexandre Fioravante de Siqueira, Daniela Mayumi Ushizima, Stéfan van der Walt
    http://arxiv.org/abs/2101.04823v1

    • [eess.IV]Big Self-Supervised Models Advance Medical Image Classification
    Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi
    http://arxiv.org/abs/2101.05224v1

    • [eess.IV]DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
    Jasjeet Dhaliwal, Kyle Hambrook
    http://arxiv.org/abs/2101.05130v1

    • [eess.IV]Generative Adversarial U-Net for Domain-free Medical Image Augmentation
    Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
    http://arxiv.org/abs/2101.04793v1

    • [eess.IV]Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images
    Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
    http://arxiv.org/abs/2101.04943v1

    • [eess.IV]MRI Images, Brain Lesions and Deep Learning
    Darwin castillo, Vasudevan Lakshminarayanan, Maria J. Rodgrigez-Alvarez
    http://arxiv.org/abs/2101.05091v1

    • [eess.IV]Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
    Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai
    http://arxiv.org/abs/2101.04822v1

    • [eess.IV]Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
    Rohit Jena, Sumedha Singla
    http://arxiv.org/abs/2101.05145v1

    • [eess.IV]Using uncertainty estimation to reduce false positives in liver lesion detection
    Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim
    http://arxiv.org/abs/2101.04386v2

    • [eess.IV]VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
    Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo
    http://arxiv.org/abs/2101.05131v1

    • [eess.SP]Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
    Cong Ma, Yuanxin Li, Yuejie Chi
    http://arxiv.org/abs/2101.05113v1

    • [eess.SP]Model-Based Machine Learning for Communications
    Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
    http://arxiv.org/abs/2101.04726v1

    • [eess.SY]Neuro-Reachability of Networked Microgrids
    Yifan Zhou, Peng Zhang
    http://arxiv.org/abs/2101.05159v1

    • [math.NA]Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression
    Zachary R. Atkins, Christopher J. Vogl, Achintya Madduri, Nan Duan, Agnieszka K. Miedlar, Daniel Merl
    http://arxiv.org/abs/2101.04816v1

    • [math.OC]Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
    Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Georgios Piliouras
    http://arxiv.org/abs/2101.05248v1

    • [math.PR]Some characterisation results on classical and free Poisson thinning
    Soumendu Sundar Mukherjee
    http://arxiv.org/abs/2101.04105v2

    • [math.ST]A unified framework for correlation mining in ultra-high dimension
    Alfred O. Hero, Bala Rajaratnam, Yun Wei
    http://arxiv.org/abs/2101.04715v1

    • [math.ST]Enriched standard conjugate priors and the right invariant prior for Wishart distributions
    Hidemasa Oda, Fumiyasu Komaki
    http://arxiv.org/abs/2101.04919v1

    • [math.ST]Maximum likelihood estimation for spinal-structured trees
    Romain Azaïs, Benoît Henry
    http://arxiv.org/abs/2101.05099v1

    • [math.ST]PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
    Imon Banerjee, Vinayak A. Rao, Harsha Honnappa
    http://arxiv.org/abs/2101.05197v1

    • [math.ST]Variable bandwidth kernel regression estimation
    Janet Nakarmi, Hailin Sang, Lin Ge
    http://arxiv.org/abs/2101.04783v1

    • [physics.flu-dyn]UCNN: A Convolutional Strategy on Unstructured Mesh
    Mengfei Xu, Shufang Song, Xuxiang Sun, Weiwei Zhang
    http://arxiv.org/abs/2101.05207v1

    • [physics.geo-ph]Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events
    Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson
    http://arxiv.org/abs/2101.04724v1

    • [q-bio.QM]Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
    Jeremy Zucker, Kaushal Paneri, Sara Mohammad-Taheri, Somya Bhargava, Pallavi Kolambkar, Craig Bakker, Jeremy Teuton, Charles Tapley Hoyt, Kristie Oxford, Robert Ness, Olga Vitek
    http://arxiv.org/abs/2101.05136v1

    • [stat.AP]Decision Support for COVID-19 Policy Including Poverty Drivers
    Peter Strong, Aditi Shenvi, Xuewen Yu, K. Nadia Papamichail, Henry P Wynn, Jim Q Smith
    http://arxiv.org/abs/2101.04774v1

    • [stat.AP]Estimating causes of maternal death in data-sparse contexts
    Monica Alexander, Michael Y. C. Chong, Marija Pejcinovska
    http://arxiv.org/abs/2101.05240v1

    • [stat.ME]A Latent Variable Model for Relational Events with Multiple Receivers
    Joris Mulder, Peter D. Hoff
    http://arxiv.org/abs/2101.05135v1

    • [stat.ME]A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient
    Oliver Grothe, Fabian Kächele, Friedrich Schmid
    http://arxiv.org/abs/2101.04748v1

    • [stat.ME]Concurrent Object Regression
    Satarupa Bhattacharjee, Hans-Georg Mueller
    http://arxiv.org/abs/2101.05026v1

    • [stat.ME]Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
    Ablert Vexler, Gregory Gurevich, Li Zou
    http://arxiv.org/abs/2101.04805v1

    • [stat.ME]Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
    Yuxuan Zhao, David S. Matteson, Mary Beth Nebel, Stewart H. Mostofsky, Benjamin Risk
    http://arxiv.org/abs/2101.04809v1

    • [stat.ME]Multivariate phase-type theory for the site frequency spectrum
    Asger Hobolth, Mogens Bladt, Lars Nørvang Andersen
    http://arxiv.org/abs/2101.04941v1

    • [stat.ML]Graph Filtering for Improving the Accuracy of Classification problems
    Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
    http://arxiv.org/abs/2101.04789v1

    • [stat.ML]Learning with Gradient Descent and Weakly Convex Losses
    Dominic Richards, Mike Rabbat
    http://arxiv.org/abs/2101.04968v1

    • [stat.ML]Multiscale regression on unknown manifolds
    Wenjing Liao, Mauro Maggioni, Stefano Vigogna
    http://arxiv.org/abs/2101.05119v1

    • [stat.ML]On Misspecification in Prediction Problems and Robustness via Improper Learning
    John Duchi, Annie Marsden, Gregory Valiant
    http://arxiv.org/abs/2101.05234v1