astro-ph.GA - 星系天体物理学

    cs.AI - 人工智能 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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 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 hep-ph - 高能物理现象学 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 q-fin.TR - 贸易与市场微观结构 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.GA]Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
    • [cs.AI]An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition
    • [cs.AI]Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter
    • [cs.AI]Genetically Optimized Prediction of Remaining Useful Life
    • [cs.AI]Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan
    • [cs.AI]Symmetry Breaking for k-Robust Multi-Agent Path Finding
    • [cs.AI]Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
    • [cs.AI]Towards the Right Kind of Fairness in AI
    • [cs.CL]A Context-Enhanced De-identification System
    • [cs.CL]ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
    • [cs.CL]COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
    • [cs.CL]Contextual Skipgram: Training Word Representation Using Context Information
    • [cs.CL]Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
    • [cs.CL]Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
    • [cs.CL]First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
    • [cs.CL]Integrating Pre-trained Model into Rule-based Dialogue Management
    • [cs.CL]Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features
    • [cs.CL]Open-Retrieval Conversational Machine Reading
    • [cs.CL]Predicting Lexical Complexity in English Texts
    • [cs.CL]SciDr at SDU-2020: IDEAS — Identifying and Disambiguating Everyday Acronyms for Scientific Domain
    • [cs.CL]Searching for Search Errors in Neural Morphological Inflection
    • [cs.CL]Sparsely Factored Neural Machine Translation
    • [cs.CL]THEaiTRE 1.0: Interactive generation of theatre play scripts
    • [cs.CL]Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
    • [cs.CL]Towards generalisable hate speech detection: a review on obstacles and solutions
    • [cs.CL]Transferability of Neural Network-based De-identification Systems
    • [cs.CR]Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework
    • [cs.CR]IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT
    • [cs.CR]Revenue Attribution on iOS 14 using Conversion Values in F2P Games
    • [cs.CV]A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
    • [cs.CV]Active Face Frontalization using Commodity Unmanned Aerial Vehicles
    • [cs.CV]Cardiac Motion Modeling with Parallel Transport and Shape Splines
    • [cs.CV]ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs
    • [cs.CV]Coupled Feature Learning for Multimodal Medical Image Fusion
    • [cs.CV]Crop mapping from image time series: deep learning with multi-scale label hierarchies
    • [cs.CV]Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images
    • [cs.CV]I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion
    • [cs.CV]Improving Visual Place Recognition Performance by Maximising Complementarity
    • [cs.CV]LambdaNetworks: Modeling Long-Range Interactions Without Attention
    • [cs.CV]S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
    • [cs.CV]SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition
    • [cs.CV]Selfie Periocular Verification using an Efficient Super-Resolution Approach
    • [cs.CV]ShaRF: Shape-conditioned Radiance Fields from a Single View
    • [cs.CV]Shape-Tailored Deep Neural Networks
    • [cs.CV]Temporal Memory Attention for Video Semantic Segmentation
    • [cs.CV]Weakly Supervised Learning of Rigid 3D Scene Flow
    • [cs.CY]ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens
    • [cs.CY]Auditing Hamiltonian Elections
    • [cs.CY]Challenges of Applying E-Learning in the Libyan Higher Education System
    • [cs.CY]Effects of Early Warning Emails on Student Performance
    • [cs.CY]Political Bias and Factualness in News Sharing Across more then 100,000 Online Communities
    • [cs.CY]User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
    • [cs.DC]Deployment of Elastic Virtual Hybrid Clusters Across Cloud Sites
    • [cs.DC]Fast Graphical Population Protocols
    • [cs.DC]Local Mending
    • [cs.DC]Market-Oriented Online Bi-Objective Service Scheduling for Pleasingly Parallel Jobs with Variable Resources in Cloud Environments
    • [cs.DC]NEAT: A Framework for Automated Exploration of Floating Point Approximations
    • [cs.DC]Oscars: Adaptive Semi-Synchronous Parallel Model for Distributed Deep Learning with Global View
    • [cs.DC]SimFaaS: A Performance Simulator for Serverless Computing Platforms
    • [cs.DC]cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs
    • [cs.GT]A Game-theoretic Approach Towards Collaborative Coded Computation Offloading
    • [cs.HC]Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
    • [cs.HC]TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
    • [cs.IR]DICODerma: A practical approach for metadata management of images in dermatology
    • [cs.IR]Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
    • [cs.IT]今日学术视野(2021.2.19) - 图1-Arithmetics for Real Vectors
    • [cs.IT]A Framework for Characterising the Value of Information in Hidden Markov Models
    • [cs.IT]An improved upper bound on self-dual codes over finite fields 今日学术视野(2021.2.19) - 图2%2C%20%20GF(19)#card=math&code=GF%2811%29%2C%20%20GF%2819%29), and 今日学术视野(2021.2.19) - 图3#card=math&code=GF%2823%29)
    • [cs.IT]IRS-Assisted Wireless Powered NOMA: Is Dynamic Passive Beamforming Really Needed?
    • [cs.IT]Performance Analyses of MRT/MRC in Dual-Hop NOMA Full-Duplex AF Relay Networks with Residual Hardware Impairments
    • [cs.IT]Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System
    • [cs.IT]Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channel with Imperfect CSIT and CSIR
    • [cs.IT]Safety Analysis for Laser-based Optical Wireless Communications: A Tutorial
    • [cs.IT]Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs
    • [cs.LG]A Regret Analysis of Bilateral Trade
    • [cs.LG]Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 今日学术视野(2021.2.19) - 图4 Parameters
    • [cs.LG]Bridging the Gap Between Adversarial Robustness and Optimization Bias
    • [cs.LG]Centroid Transformers: Learning to Abstract with Attention
    • [cs.LG]Complex Momentum for Learning in Games
    • [cs.LG]Contrastive Learning Inverts the Data Generating Process
    • [cs.LG]DEUP: Direct Epistemic Uncertainty Prediction
    • [cs.LG]DeepWalking Backwards: From Embeddings Back to Graphs
    • [cs.LG]Differentially Private Correlation Clustering
    • [cs.LG]Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts
    • [cs.LG]Ego-based Entropy Measures for Structural Representations on Graphs
    • [cs.LG]Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
    • [cs.LG]Evaluating Multi-label Classifiers with Noisy Labels
    • [cs.LG]Fast Graph Learning with Unique Optimal Solutions
    • [cs.LG]Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
    • [cs.LG]Few-shot Conformal Prediction with Auxiliary Tasks
    • [cs.LG]Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
    • [cs.LG]From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing
    • [cs.LG]Fully General Online Imitation Learning
    • [cs.LG]Globally-Robust Neural Networks
    • [cs.LG]Graph Learning with 1D Convolutions on Random Walks
    • [cs.LG]Group Equivariant Conditional Neural Processes
    • [cs.LG]How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
    • [cs.LG]Label Leakage an
    5036
    d Protection in Two-party Split Learning
    • [cs.LG]Leveraging Public Data for Practical Private Query Release
    • [cs.LG]Lexicographically Fair Learning: Algorithms and Generalization
    • [cs.LG]Mode-Assisted Joint Training of Deep Boltzmann Machines
    • [cs.LG]Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
    • [cs.LG]NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
    • [cs.LG]Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation
    • [cs.LG]On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
    • [cs.LG]On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
    • [cs.LG]Online Co-movement Pattern Prediction in Mobility Data
    • [cs.LG]Outside the Echo Chamber: Optimizing the Performative Risk
    • [cs.LG]POLA: Online Time Series Prediction by Adaptive Learning Rates
    • [cs.LG]Pattern Sampling for Shapelet-based Time Series Classification
    • [cs.LG]Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE
    • [cs.LG]Provably Efficient Policy Gradient Methods for Two-Player Zero-Sum Markov Games
    • [cs.LG]Re-identification of Individuals in Genomic Datasets Using Public Face Images
    • [cs.LG]Rethinking Co-design of Neural Architectures and Hardware Accelerators
    • [cs.LG]Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
    • [cs.LG]Robust Domain-Free Domain Generalization with Class-aware Alignment
    • [cs.LG]Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
    • [cs.LG]Scaling Neuroscience Research using Federated Learning
    • [cs.LG]Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
    • [cs.LG]Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
    • [cs.LG]Smoothed Analysis with Adaptive Adversaries
    • [cs.LG]StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
    • [cs.LG]Switch Spaces: Learning Product Spaces with Sparse Gating
    • [cs.LG]Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning
    • [cs.LG]Training Aware Sigmoidal Optimizer
    • [cs.LG]Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
    • [cs.LG]ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation
    • [cs.LO]An asymptotic analysis of probabilistic logic programming with implications for expressing projective families of distributions
    • [cs.NE]An Implementation of Vector Quantization using the Genetic Algorithm Approach
    • [cs.NE]Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach
    • [cs.NE]Evolving GAN Formulations for Higher Quality Image Synthesis
    • [cs.NE]Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments
    • [cs.NE]Neuroevolution in Deep Learning: The Role of Neutrality
    • [cs.NI]BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities
    • [cs.RO]A Graph Neural Network to Model User Comfort in Robot Navigation
    • [cs.RO]A Review of Testing Object-Based Environment Perception for Safe Automated Driving
    • [cs.RO]A Safety and Passivity Filter for Robot Teleoperation Systems
    • [cs.RO]Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
    • [cs.RO]End-to-End Egospheric Spatial Memory
    • [cs.RO]Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
    • [cs.RO]SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
    • [cs.SD]DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
    • [cs.SE]Towards Utility-based Prioritization of Requirements in Open Source Environments
    • [cs.SI]A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets
    • [cs.SI]Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study
    • [cs.SI]Graph Sampling Approach for Reducing Computational Complexity of Large-Scale Social Network
    • [cs.SI]Hypergraph Laplacians in Diffusion Framework
    • [cs.SI]Prioritizing Original News on Facebook
    • [cs.SI]Social Bots and Social Media Manipulation in 2020: The Year in Review
    • [cs.SI]Social Network Analysis Taxonomy Based on Graph Representation
    • [eess.AS]Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
    • [eess.IV]A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images
    • [eess.IV]CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings
    • [eess.IV]Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
    • [eess.IV]Learning deep multiresolution representations for pansharpening
    • [eess.SP]Supporting More Active Users for Massive Access via Data-assisted Activity Detection
    • [eess.SY]Self-Triggered Markov Decision Processes
    • [hep-ph]Topological Obstructions to Autoencoding
    • [math.CO]Probabilistic constructions in continuous combinatorics and a bridge to distributed algorithms
    • [math.OC]Finite-Time Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models
    • [math.PR]Deviation inequalities for stochastic approximation by averaging
    • [math.PR]Non-asymptotic approximations of neural networks by Gaussian processes
    • [math.ST]A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications
    • [math.ST]Sample variance of rounded variables
    • [physics.ao-ph]Mesospheric nitric oxide model from SCIAMACHY data
    • [physics.comp-ph]Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics
    • [q-bio.QM]Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics
    • [q-fin.ST]On Technical Trading and Social Media Indicators in Cryptocurrencies’ Price Classification Through Deep Learning
    • [q-fin.TR]Deep Learning for Market by Order Data
    • [stat.AP]Dynamic and interpretable hazard-based models of traffic incident durations
    • [stat.AP]Robust Mean Estimation in High Dimensions via Global Outlier Pursuit
    • [stat.ME]Causal Estimation with Functional Confounders
    • [stat.ME]Conditional Variance Estimator for Sufficient Dimension Reduction
    • [stat.ME]Overcoming bias in representational similarity analysis
    • [stat.ME]Split Modeling for High-Dimensional Logistic Regression
    • [stat.ML]A General Framework for the Derandomization of PAC-Bayesian Bounds
    • [stat.ML]Chance-Constrained Active Inference
    • [stat.ML]Dissecting Supervised Constrastive Learning
    • [stat.ML]Efficient Designs of SLOPE Penalty Sequences in Finite Dimension
    • [stat.ML]Geostatistical Learning: Challenges and Opportunities
    • [stat.ML]Muddling Labels for Regularization, a novel approach to generalization
    • [stat.ML]On the Fundamental Limits of Exact Inference in Structured Prediction
    • [stat.ML]Robust Estimation of Tree Structured Markov Random Fields
    • [stat.ML]Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach

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

    • [astro-ph.GA]Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
    Mike Walmsley, Chris Lintott, Tobias Geron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, William Keel, Lee S. Kelvin, Lucy Fortson, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca Smethurst, Elisabeth M. Baeten, Christine Macmillan
    http://arxiv.org/abs/2102.08414v1

    • [cs.AI]An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition
    David J. Jilk
    http://arxiv.org/abs/2102.08933v1

    • [cs.AI]Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter
    Robert McCluskey, Amir Enshaei, Bashar Awwad Shiekh Hasan
    http://arxiv.org/abs/2102.08482v1

    • [cs.AI]Genetically Optimized Prediction of Remaining Useful Life
    Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu
    http://arxiv.org/abs/2102.08845v1

    • [cs.AI]Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan
    Essam A. Rashed, Sachiko Kodera, Hidenobu Shirakami, Ryotetsu Kawaguchi, Kazuhiro Watanabe, Akimasa Hirata
    http://arxiv.org/abs/2102.08628v1

    • [cs.AI]Symmetry Breaking for k-Robust Multi-Agent Path Finding
    Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey
    http://arxiv.org/abs/2102.08689v1

    • [cs.AI]Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
    Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
    http://arxiv.org/abs/2102.08507v1

    • [cs.AI]Towards the Right Kind of Fairness in AI
    Boris Ruf, Marcin Detyniecki
    http://arxiv.org/abs/2102.08453v1

    • [cs.CL]A Context-Enhanced De-identification System
    Kahyun Lee, Mehmet Kayaalp, Sam Henry, Özlem Uzuner
    http://arxiv.org/abs/2102.08513v1

    • [cs.CL]ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
    Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang
    http://arxiv.org/abs/2102.08535v1

    • [cs.CL]COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
    Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
    http://arxiv.org/abs/2102.08473v1

    • [cs.CL]Contextual Skipgram: Training Word Representation Using Context Information
    Dongjae Kim, Jong-Kook Kim
    http://arxiv.org/abs/2102.08565v1

    • [cs.CL]Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
    William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty
    http://arxiv.org/abs/2102.08924v1

    • [cs.CL]Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
    Nora Hollenstein, Cedric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang
    http://arxiv.org/abs/2102.08655v1

    • [cs.CL]First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
    Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang
    http://arxiv.org/abs/2102.08549v1

    • [cs.CL]Integrating Pre-trained Model into Rule-based Dialogue Management
    Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang
    http://arxiv.org/abs/2102.08553v1

    • [cs.CL]Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features
    Thomas Haider
    http://arxiv.org/abs/2102.08858v1

    • [cs.CL]Open-Retrieval Conversational Machine Reading
    Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King
    http://arxiv.org/abs/2102.08633v1

    • [cs.CL]Predicting Lexical Complexity in English Texts
    Matthew Shardlow, Richard Evans, Marcos Zampieri
    http://arxiv.org/abs/2102.08773v1

    • [cs.CL]SciDr at SDU-2020: IDEAS — Identifying and Disambiguating Everyday Acronyms for Scientific Domain
    Aadarsh Singh, Priyanshu Kumar
    http://arxiv.org/abs/2102.08818v1

    • [cs.CL]Searching for Search Errors in Neural Morphological Inflection
    Martina Forster, Clara Meister, Ryan Cotterell
    http://arxiv.org/abs/2102.08424v1

    • [cs.CL]Sparsely Factored Neural Machine Translation
    Noe Casas, Jose A. R. Fonollosa, Marta R. Costa-jussà
    http://arxiv.org/abs/2102.08934v1

    • [cs.CL]THEaiTRE 1.0: Interactive generation of theatre play scripts
    Rudolf Rosa, Tomáš Musil, Ondřej Dušek, Dominik Jurko, Patrícia Schmidtová, David Mareček, Ondřej Bojar, Tom Kocmi, Daniel Hrbek, David Košťák, Martina Kinská, Marie Nováková, Josef Doležal, Klára Vosecká, Tomáš Studeník, Petr Žabka
    http://arxiv.org/abs/2102.08892v1

    • [cs.CL]Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
    Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
    http://arxiv.org/abs/2102.08585v1

    • [cs.CL]Towards generalisable hate speech detection: a review on obstacles and solutions
    Wenjie Yin, Arkaitz Zubiaga
    http://arxiv.org/abs/2102.08886v1

    • [cs.CL]Transferability of Neural Network-based De-identification Systems
    Kahyun Lee, Nicholas J. Dobbins, Bridget McInnes, Meliha Yetisgen, Özlem Uzuner
    http://arxiv.org/abs/2102.08517v1

    • [cs.CR]Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework
    Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis, Charalabos Skianis, Lazaros Iliadis
    http://arxiv.org/abs/2102.08411v1

    • [cs.CR]IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT
    Kahraman Kostas, Mike Just, Michael A. Lones
    http://arxiv.org/abs/2102.08866v1

    • [cs.CR]Revenue Attribution on iOS 14 using Conversion Values in F2P Games
    Frederick Ayala-Gomez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo
    http://arxiv.org/abs/2102.08458v1

    • [cs.CV]A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
    Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
    http://arxiv.org/abs/2102.08884v1

    • [cs.CV]Active Face Frontalization using Commodity Unmanned Aerial Vehicles
    Nagashri Lakshminarayana, Yifang Liu, Karthik Dantu, Venu Govindaraju, Nils Napp
    http://arxiv.org/abs/2102.08542v1

    • [cs.CV]Cardiac Motion Modeling with Parallel Transport and Shape Splines
    Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
    http://arxiv.org/abs/2102.08665v1

    • [cs.CV]ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs
    Sebastian Monka, Lavdim Halilaj, Stefan Schmid, Achim Rettinger
    http://arxiv.org/abs/2102.08747v1

    • [cs.CV]Coupled Feature Learning for Multimodal Medical Image Fusion
    Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila
    http://arxiv.org/abs/2102.08641v1

    • [cs.CV]Crop mapping from image time series: deep learning with multi-scale label hierarchies
    Mehmet Ozgur Turkoglu, Stefano D’Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner
    http://arxiv.org/abs/2102.08820v1

    • [cs.CV]Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images
    Sampa Misra, Seungwan Jeon, Ravi Managuli, Seiyon Lee, Gyuwon Kim, Seungchul Lee, Richard G Barr, Chulhong Kim
    http://arxiv.org/abs/2102.08567v1

    • [cs.CV]I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion
    Ivona Tautkute, Tomasz Trzcinski
    http://arxiv.org/abs/2102.08871v1

    • [cs.CV]Improving Visual Place Recognition Performance by Maximising Complementarity
    Maria Waheed, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan
    http://arxiv.org/abs/2102.08416v1

    • [cs.CV]LambdaNetworks: Modeling Long-Range Interactions Without Attention
    Irwan Bello
    http://arxiv.org/abs/2102.08602v1

    • [cs.CV]S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
    Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
    http://arxiv.org/abs/2102.08946v1

    • [cs.CV]SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition
    Denis Coquenet, Clément Chatelain, Thierry Paquet
    http://arxiv.org/abs/2102.08742v1

    • [cs.CV]Selfie Periocular Verification using an Efficient Super-Resolution Approach
    Juan Tapia, Marta Gomez-Barrero, Rodrigo Lara, Andres Valenzuela, Christoph Busch
    http://arxiv.org/abs/2102.08449v1

    • [cs.CV]ShaRF: Shape-conditioned Radiance Fields from a Single View
    Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
    http://arxiv.org/abs/2102.08860v1

    • [cs.CV]Shape-Tailored Deep Neural Networks
    Naeemullah Khan, Angira Sharma, Ganesh Sundaramoorthi, Philip H. S. Torr
    http://arxiv.org/abs/2102.08497v1

    • [cs.CV]Temporal Memory Attention for Video Semantic Segmentation
    Hao Wang, Weining Wang, Jing Liu
    http://arxiv.org/abs/2102.08643v1

    • [cs.CV]Weakly Supervised Learning of Rigid 3D Scene Flow
    Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
    http://arxiv.org/abs/2102.08945v1

    • [cs.CY]ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens
    Giulia Cisotto, Andrea Trentini, Italo Zoppis, Alessio Zanga, Sara Manzoni, Giada Pietrabissa, Anna Guerrini Usubini, Gianluca Castelnuovo
    http://arxiv.org/abs/2102.08692v1

    • [cs.CY]Auditing Hamiltonian Elections
    Michelle Blom, Philip B. Stark, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic
    http://arxiv.org/abs/2102.08510v1

    • [cs.CY]Challenges of Applying E-Learning in the Libyan Higher Education System
    Entisar Alhadi Al Ghawail, Sadok Ben Yahia, Mohamed A. Alrshah
    http://arxiv.org/abs/2102.08545v1

    • [cs.CY]Effects of Early Warning Emails on Student Performance
    Till Massing, Natalie Reckmann, Jens Klenke, Benjamin Otto, Christoph Hanck, Michael Goedicke
    http://arxiv.org/abs/2102.08803v1

    • [cs.CY]Political Bias and Factualness in News Sharing Across more then 100,000 Online Communities
    Galen Weld, Maria Glenski, Tim Althoff
    http://arxiv.org/abs/2102.08537v1

    • [cs.CY]User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
    Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos
    http://arxiv.org/abs/2102.08779v1

    • [cs.DC]Deployment of Elastic Virtual Hybrid Clusters Across Cloud Sites
    Miguel Caballer, Marica Antonacci, Zdeněk Šustr, Michele Perniola, Germán Moltó
    http://arxiv.org/abs/2102.08710v1

    • [cs.DC]Fast Graphical Population Protocols
    Dan Alistarh, Rati Gelashvili, Joel Rybicki
    http://arxiv.org/abs/2102.08808v1

    • [cs.DC]Local Mending
    Alkida Balliu, Juho Hirvonen, Darya Melnyk, Dennis Olivetti, Joel Rybicki, Jukka Suomela
    http://arxiv.org/abs/2102.08703v1

    • [cs.DC]Market-Oriented Online Bi-Objective Service Scheduling for Pleasingly Parallel Jobs with Variable Resources in Cloud Environments
    Bingbing Zheng, Li Pan, Shijun Liu
    http://arxiv.org/abs/2102.08794v1

    • [cs.DC]NEAT: A Framework for Automated Exploration of Floating Point Approximations
    Saeid Barati, Lee Ehudin, Hank Hoffmann
    http://arxiv.org/abs/2102.08547v1

    • [cs.DC]Oscars: Adaptive Semi-Synchronous Parallel Model for Distributed Deep Learning with Global View
    Sheng Huang
    http://arxiv.org/abs/2102.08550v1

    • [cs.DC]SimFaaS: A Performance Simulator for Serverless Computing Platforms
    Nima Mahmoudi, Hamzeh Khazaei
    http://arxiv.org/abs/2102.08904v1

    • [cs.DC]cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs
    Yu-hsuan Shih, Garrett Wright, Joakim andén, Johannes Blaschke, Alex H. Barnett
    http://arxiv.org/abs/2102.08463v1

    • [cs.GT]A Game-theoretic Approach Towards Collaborative Coded Computation Offloading
    Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang
    http://arxiv.org/abs/2102.08667v1

    • [cs.HC]Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
    Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
    http://arxiv.org/abs/2102.08540v1

    • [cs.HC]TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
    Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li
    http://arxiv.org/abs/2102.08445v1

    • [cs.IR]DICODerma: A practical approach for metadata management of images in dermatology
    Bell Raj Eapen, Feroze Kaliyadan, Ashique Karalikkattil T
    http://arxiv.org/abs/2102.08673v1

    • [cs.IR]Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
    Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre
    http://arxiv.org/abs/2102.08795v1

    • [cs.IT]今日学术视野(2021.2.19) - 图5-Arithmetics for Real Vectors
    Xiang-Gen Xia
    http://arxiv.org/abs/2102.08467v1

    • [cs.IT]A Framework for Characterising the Value of Information in Hidden Markov Models
    Zijing Wang, Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/2102.08841v1

    • [cs.IT]An improved upper bound on self-dual codes over finite fields 今日学术视野(2021.2.19) - 图6%2C%20%20GF(19)#card=math&code=GF%2811%29%2C%20%20GF%2819%29), and 今日学术视野(2021.2.19) - 图7#card=math&code=GF%2823%29)
    Whan-Hyuk Choi, Jon-Lark Kim
    http://arxiv.org/abs/2102.08422v1

    • [cs.IT]IRS-Assisted Wireless Powered NOMA: Is Dynamic Passive Beamforming Really Needed?
    Qingqing Wu, Xiaobo Zhou, Robert Schober
    http://arxiv.org/abs/2102.08739v1

    • [cs.IT]Performance Analyses of MRT/MRC in Dual-Hop NOMA Full-Duplex AF Relay Networks with Residual Hardware Impairments
    Mesut Toka, Eray Guven, Gunes Karabulut Kurt, Oguz Kucur
    http://arxiv.org/abs/2102.08464v1

    • [cs.IT]Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System
    Xiaoyu Hao, Tao Yang, Yulin Hu, Bo Hu
    http://arxiv.org/abs/2102.08544v1

    • [cs.IT]Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channel with Imperfect CSIT and CSIR
    Jihye An, Onur Dizdarz, Bruno Clerckxz, Wonjae Shin
    http://arxiv.org/abs/2102.08738v1

    • [cs.IT]Safety Analysis for Laser-based Optical Wireless Communications: A Tutorial
    Mohammad Dehghani Soltani, Elham Sarbazi, Nikolaos Bamiedakis, Priyanka de Souza, Hossein Kazemi, Richard V. Penty, Harald Haas, Majid Safari
    http://arxiv.org/abs/2102.08707v1

    • [cs.IT]Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs
    Xingran Chen, Renpu Liu, Shaochong Wang, Shirin Saeedi Bidokhti
    http://arxiv.org/abs/2102.08926v1

    • [cs.LG]A Regret Analysis of Bilateral Trade
    Nicolò Cesa-Bianchi, Roberto Colomboni, Federico Fusco, Stefano Leonardi
    http://arxiv.org/abs/2102.08754v1

    • [cs.LG]Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 今日学术视野(2021.2.19) - 图8 Parameters
    Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
    http://arxiv.org/abs/2102.08597v1

    • [cs.LG]Bridging the Gap Between Adversarial Robustness and Optimization Bias
    Fartash Faghri, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux
    http://arxiv.org/abs/2102.08868v1

    • [cs.LG]Centroid Transformers: Learning to Abstract with Attention
    Lemeng Wu, Xingchao Liu, Qiang Liu
    http://arxiv.org/abs/2102.08606v1

    • [cs.LG]Complex Momentum for Learning in Games
    Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud
    http://arxiv.org/abs/2102.08431v1

    • [cs.LG]Contrastive Learning Inverts the Data Generating Process
    Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
    http://arxiv.org/abs/2102.08850v1

    • [cs.LG]DEUP: Direct Epistemic Uncertainty Prediction
    Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio
    http://arxiv.org/abs/2102.08501v1

    • [cs.LG]DeepWalking Backwards: From Embeddings Back to Graphs
    Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
    http://arxiv.org/abs/2102.08532v1

    • [cs.LG]Differentially Private Correlation Clustering
    Mark Bun, Marek Eliáš, Janardhan Kulkarni
    http://arxiv.org/abs/2102.08885v1

    • [cs.LG]Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts
    Junbum Cha, Hancheol Cho, Kyungjae Lee, Seunghyun Park, Yunsung Lee, Sungrae Park
    http://arxiv.org/abs/2102.08604v1

    • [cs.LG]Ego-based Entropy Measures for Structural Representations on Graphs
    George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
    http://arxiv.org/abs/2102.08735v1

    • [cs.LG]Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
    Pranjal Awasthi, Alex Beutel, Matthaeus Kleindessner, Jamie Morgenstern, Xuezhi Wang
    http://arxiv.org/abs/2102.08410v1

    • [cs.LG]Evaluating Multi-label Classifiers with Noisy Labels
    Wenting Zhao, Carla Gomes
    http://arxiv.org/abs/2102.08427v1

    • [cs.LG]Fast Graph Learning with Unique Optimal Solutions
    Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/2102.08530v1

    • [cs.LG]Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
    Matthias Paulik, Matt Seigel, Henry Mason, Dominic Telaar, Joris Kluivers, Rogier van Dalen, Chi Wai Lau, Luke Carlson, Filip Granqvist, Chris Vandevelde, Sudeep Agarwal, Julien Freudiger, Andrew Byde, Abhishek Bhowmick, Gaurav Kapoor, Si Beaumont, Áine Cahill, Dominic Hughes, Omid Javidbakht, Fei Dong, Rehan Rishi, Stanley Hung
    http://arxiv.org/abs/2102.08503v1

    • [cs.LG]Few-shot Conformal Prediction with Auxiliary Tasks
    Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay
    http://arxiv.org/abs/2102.08898v1

    • [cs.LG]Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
    Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
    http://arxiv.org/abs/2102.08574v1

    • [cs.LG]From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing
    Jia-Jie Zhu, Yassine Nemmour, Bernhard Schölkopf
    http://arxiv.org/abs/2102.08474v1

    • [cs.LG]Fully General Online Imitation Learning
    Michael K. Cohen, Marcus Hutter, Neel Nanda
    http://arxiv.org/abs/2102.08686v1

    • [cs.LG]Globally-Robust Neural Networks
    Klas Leino, Zifan Wang, Matt Fredrikson
    http://arxiv.org/abs/2102.08452v1

    • [cs.LG]Graph Learning with 1D Convolutions on Random Walks
    Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
    http://arxiv.org/abs/2102.08786v1

    • [cs.LG]Group Equivariant Conditional Neural Processes
    Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
    http://arxiv.org/abs/2102.08759v1

    • [cs.LG]How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
    Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar
    http://arxiv.org/abs/2102.08921v1

    • [cs.LG]Label Leakage an
    5036
    d Protection in Two-party Split Learning
    Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
    http://arxiv.org/abs/2102.08504v1

    • [cs.LG]Leveraging Public Data for Practical Private Query Release
    Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Zhiwei Steven Wu
    http://arxiv.org/abs/2102.08598v1

    • [cs.LG]Lexicographically Fair Learning: Algorithms and Generalization
    Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
    http://arxiv.org/abs/2102.08454v1

    • [cs.LG]Mode-Assisted Joint Training of Deep Boltzmann Machines
    Haik Manukian, Massimiliano Di Ventra
    http://arxiv.org/abs/2102.08562v1

    • [cs.LG]Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
    Xiumin Shang, Jinping Yang, Bingquan Zhu, Lin Ye, Jing Zhang, Jianping Xu, Qin Lyu, Ruisheng Diao
    http://arxiv.org/abs/2102.08430v1

    • [cs.LG]NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
    Steph-Yves Louis, Alireza Nasiri, Fatima J. Rolland, Cameron Mitro, Jianjun Hu
    http://arxiv.org/abs/2102.08588v1

    • [cs.LG]Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation
    Jiafan He, Dongruo Zhou, Quanquan Gu
    http://arxiv.org/abs/2102.08940v1

    • [cs.LG]On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
    Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang
    http://arxiv.org/abs/2102.08607v1

    • [cs.LG]On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
    Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser
    http://arxiv.org/abs/2102.08634v1

    • [cs.LG]Online Co-movement Pattern Prediction in Mobility Data
    Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis
    http://arxiv.org/abs/2102.08870v1

    • [cs.LG]Outside the Echo Chamber: Optimizing the Performative Risk
    John Miller, Juan C. Perdomo, Tijana Zrnic
    http://arxiv.org/abs/2102.08570v1

    • [cs.LG]POLA: Online Time Series Prediction by Adaptive Learning Rates
    Wenyu Zhang
    http://arxiv.org/abs/2102.08907v1

    • [cs.LG]Pattern Sampling for Shapelet-based Time Series Classification
    Atif Raza, Stefan Kramer
    http://arxiv.org/abs/2102.08498v1

    • [cs.LG]Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE
    Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji
    http://arxiv.org/abs/2102.08663v1

    • [cs.LG]Provably Efficient Policy Gradient Methods for Two-Player Zero-Sum Markov Games
    Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du
    http://arxiv.org/abs/2102.08903v1

    • [cs.LG]Re-identification of Individuals in Genomic Datasets Using Public Face Images
    Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik
    http://arxiv.org/abs/2102.08557v1

    • [cs.LG]Rethinking Co-design of Neural Architectures and Hardware Accelerators
    Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
    http://arxiv.org/abs/2102.08619v1

    • [cs.LG]Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
    Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla
    http://arxiv.org/abs/2102.08492v1

    • [cs.LG]Robust Domain-Free Domain Generalization with Class-aware Alignment
    Wenyu Zhang, Mohamed Ragab, Ramon Sagarna
    http://arxiv.org/abs/2102.08897v1

    • [cs.LG]Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers
    Dongjin Lee, Kijung Shin
    http://arxiv.org/abs/2102.08466v1

    • [cs.LG]Scaling Neuroscience Research using Federated Learning
    Dimitris Stripelis, Jose Luis Ambite, Pradeep Lam, Paul Thompson
    http://arxiv.org/abs/2102.08440v1

    • [cs.LG]Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
    Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen
    http://arxiv.org/abs/2102.08539v1

    • [cs.LG]Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
    Kai Sheng Tai, Peter Bailis, Gregory Valiant
    http://arxiv.org/abs/2102.08622v1

    • [cs.LG]Smoothed Analysis with Adaptive Adversaries
    Nika Haghtalab, Tim Roughgarden, Abhishek Shetty
    http://arxiv.org/abs/2102.08446v1

    • [cs.LG]StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
    Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
    http://arxiv.org/abs/2102.08534v1

    • [cs.LG]Switch Spaces: Learning Product Spaces with Sparse Gating
    Shuai Zhang, Yi Tay, Wenqi Jiang, Da-cheng Juan, Ce Zhang
    http://arxiv.org/abs/2102.08688v1

    • [cs.LG]Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning
    Byungchan Ko, Jungseul Ok
    http://arxiv.org/abs/2102.08581v1

    • [cs.LG]Training Aware Sigmoidal Optimizer
    David Macêdo, Pedro Dreyer, Teresa Ludermir, Cleber Zanchettin
    http://arxiv.org/abs/2102.08716v1

    • [cs.LG]Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
    Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
    http://arxiv.org/abs/2102.08443v1

    • [cs.LG]ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation
    Ali Burak Ünal, Nico Pfeifer, Mete Akgün
    http://arxiv.org/abs/2102.08788v1

    • [cs.LO]An asymptotic analysis of probabilistic logic programming with implications for expressing projective families of distributions
    Felix Weitkämper
    http://arxiv.org/abs/2102.08777v1

    • [cs.NE]An Implementation of Vector Quantization using the Genetic Algorithm Approach
    Maha Mohammed Khan
    http://arxiv.org/abs/2102.08893v1

    • [cs.NE]Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach
    Nicola Milano, Stefano Nolfi
    http://arxiv.org/abs/2102.08849v1

    • [cs.NE]Evolving GAN Formulations for Higher Quality Image Synthesis
    Santiago Gonzalez, Mohak Kant, Risto Miikkulainen
    http://arxiv.org/abs/2102.08578v1

    • [cs.NE]Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments
    Thorben Schoepe, Ella Janotte, Moritz B. Milde, Olivier J. N. Bertrand, Martin Egelhaaf, Elisabetta Chicca
    http://arxiv.org/abs/2102.08417v1

    • [cs.NE]Neuroevolution in Deep Learning: The Role of Neutrality
    Edgar Galván
    http://arxiv.org/abs/2102.08475v1

    • [cs.NI]BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities
    Petros Spachos, Konstantinos Plataniotis
    http://arxiv.org/abs/2102.08751v1

    • [cs.RO]A Graph Neural Network to Model User Comfort in Robot Navigation
    Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar, Pablo Bustos, Diego R. Faria, Luis J. Manso
    http://arxiv.org/abs/2102.08863v1

    • [cs.RO]A Review of Testing Object-Based Environment Perception for Safe Automated Driving
    Michael Hoss, Maike Scholtes, Lutz Eckstein
    http://arxiv.org/abs/2102.08460v1

    • [cs.RO]A Safety and Passivity Filter for Robot Teleoperation Systems
    Gennaro Notomista, Xiaoyi Cai
    http://arxiv.org/abs/2102.08630v1

    • [cs.RO]Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
    Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi
    http://arxiv.org/abs/2102.08596v1

    • [cs.RO]End-to-End Egospheric Spatial Memory
    Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
    http://arxiv.org/abs/2102.07764v2

    • [cs.RO]Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
    Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai O. Arras
    http://arxiv.org/abs/2102.08745v1

    • [cs.RO]SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
    Mincheol Kim, Scott Niekum, Ashish D. Deshpande
    http://arxiv.org/abs/2102.08442v1

    • [cs.SD]DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
    David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna Lukashevich
    http://arxiv.org/abs/2102.08833v1

    • [cs.SE]Towards Utility-based Prioritization of Requirements in Open Source Environments
    Alexander Felfernig, Martin Stettinger, Müslüm Atas, Ralph Samer, Jennifer Nerlich, Simon Scholz, Juha Tiihonen, Mikko Raatikainen
    http://arxiv.org/abs/2102.08638v1

    • [cs.SI]A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets
    Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra
    http://arxiv.org/abs/2102.08661v1

    • [cs.SI]Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study
    Kristina Gligorić, Ryen W. White, Emre Kıcıman, Eric Horvitz, Arnaud Chiolero, Robert West
    http://arxiv.org/abs/2102.08755v1

    • [cs.SI]Graph Sampling Approach for Reducing Computational Complexity of Large-Scale Social Network
    Andry Alamsyah, Yahya Peranginangin, Intan Muchtadi-Alamsyah, Budi Rahardjo, Kuspriyanto
    http://arxiv.org/abs/2102.08881v1

    • [cs.SI]Hypergraph Laplacians in Diffusion Framework
    Mehmet Emin Aktas, Esra Akbas
    http://arxiv.org/abs/2102.08867v1

    • [cs.SI]Prioritizing Original News on Facebook
    Xiuyan Ni, Shujian Bu, Igor Markov
    http://arxiv.org/abs/2102.08465v1

    • [cs.SI]Social Bots and Social Media Manipulation in 2020: The Year in Review
    Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, Emilio Ferrara
    http://arxiv.org/abs/2102.08436v1

    • [cs.SI]Social Network Analysis Taxonomy Based on Graph Representation
    Andry Alamsyah, Budi Rahardjo, Kuspriyanto
    http://arxiv.org/abs/2102.08888v1

    • [eess.AS]Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
    Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
    http://arxiv.org/abs/2102.08706v1

    • [eess.IV]A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images
    Qazi Ammar Arshad, Mohsen Ali, Saeed-ul Hassan, Chen Chen, Ayisha Imran, Ghulam Rasul, Waqas Sultani
    http://arxiv.org/abs/2102.08708v1

    • [eess.IV]CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings
    Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren
    http://arxiv.org/abs/2102.08660v1

    • [eess.IV]Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
    Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
    http://arxiv.org/abs/2102.08556v1

    • [eess.IV]Learning deep multiresolution representations for pansharpening
    Hannan Adeel, Syed Sohaib Ali, Muhammad Mohsin Riaz, Syed Abdul Mannan Kirmani, Muhammad Imran Qureshi, Junaid Imtiaz
    http://arxiv.org/abs/2102.08423v1

    • [eess.SP]Supporting More Active Users for Massive Access via Data-assisted Activity Detection
    Xinyu Bian, Yuyi Mao, Jun Zhang
    http://arxiv.org/abs/2102.08621v1

    • [eess.SY]Self-Triggered Markov Decision Processes
    Yunhan Huang, Quanyan Zhu
    http://arxiv.org/abs/2102.08571v1

    • [hep-ph]Topological Obstructions to Autoencoding
    Joshua Batson, C. Grace Haaf, Yonatan Kahn, Daniel A. Roberts
    http://arxiv.org/abs/2102.08380v1

    • [math.CO]Probabilistic constructions in continuous combinatorics and a bridge to distributed algorithms
    Anton Bernshteyn
    http://arxiv.org/abs/2102.08797v1

    • [math.OC]Finite-Time Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models
    Donghwan Lee
    http://arxiv.org/abs/2102.08583v1

    • [math.PR]Deviation inequalities for stochastic approximation by averaging
    Xiequan Fan, Pierre Alquier, Paul Doukhan
    http://arxiv.org/abs/2102.08685v1

    • [math.PR]Non-asymptotic approximations of neural networks by Gaussian processes
    Ronen Eldan, Dan Mikulincer, Tselil Schramm
    http://arxiv.org/abs/2102.08668v1

    • [math.ST]A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications
    Lucas de Lara, Alberto González-Sanz, Jean-Michel Loubes
    http://arxiv.org/abs/2102.08644v1

    • [math.ST]Sample variance of rounded variables
    J. An
    http://arxiv.org/abs/2102.08483v1

    • [physics.ao-ph]Mesospheric nitric oxide model from SCIAMACHY data
    Stefan Bender, Miriam Sinnhuber, Patrick J. Espy, John P. Burrows
    http://arxiv.org/abs/2102.08455v1

    • [physics.comp-ph]Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics
    Pantelis R. Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos
    http://arxiv.org/abs/2102.08810v1

    • [q-bio.QM]Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics
    Joseph Stember, Parvathy Jayan, Hrithwik Shalu
    http://arxiv.org/abs/2102.08471v1

    • [q-fin.ST]On Technical Trading and Social Media Indicators in Cryptocurrencies’ Price Classification Through Deep Learning
    Marco Ortu, Nicola Uras, Claudio Conversano, Giuseppe Destefanis, Silvia Bartolucci
    http://arxiv.org/abs/2102.08189v2

    • [q-fin.TR]Deep Learning for Market by Order Data
    Zihao Zhang, Bryan Lim, Stefan Zohren
    http://arxiv.org/abs/2102.08811v1

    • [stat.AP]Dynamic and interpretable hazard-based models of traffic incident durations
    Kieran Kalair, Colm Connaughton
    http://arxiv.org/abs/2102.08729v1

    • [stat.AP]Robust Mean Estimation in High Dimensions via Global Outlier Pursuit
    Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli
    http://arxiv.org/abs/2102.08573v1

    • [stat.ME]Causal Estimation with Functional Confounders
    Aahlad Puli, Adler J. Perotte, Rajesh Ranganath
    http://arxiv.org/abs/2102.08533v1

    • [stat.ME]Conditional Variance Estimator for Sufficient Dimension Reduction
    Lukas Fertl, Efstathia Bura
    http://arxiv.org/abs/2102.08782v1

    • [stat.ME]Overcoming bias in representational similarity analysis
    Roberto Viviani
    http://arxiv.org/abs/2102.08931v1

    • [stat.ME]Split Modeling for High-Dimensional Logistic Regression
    Anthony-Alexander Christidis, Stefan Van Aelst, Ruben Zamar
    http://arxiv.org/abs/2102.08591v1

    • [stat.ML]A General Framework for the Derandomization of PAC-Bayesian Bounds
    Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
    http://arxiv.org/abs/2102.08649v1

    • [stat.ML]Chance-Constrained Active Inference
    Thijs van de Laar, Ismail Senoz, Ayça Özçelikkale, Henk Wymeersch
    http://arxiv.org/abs/2102.08792v1

    • [stat.ML]Dissecting Supervised Constrastive Learning
    Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
    http://arxiv.org/abs/2102.08817v1

    • [stat.ML]Efficient Designs of SLOPE Penalty Sequences in Finite Dimension
    Yiliang Zhang, Zhiqi Bu
    http://arxiv.org/abs/2102.07211v2

    • [stat.ML]Geostatistical Learning: Challenges and Opportunities
    Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny
    http://arxiv.org/abs/2102.08791v1

    • [stat.ML]Muddling Labels for Regularization, a novel approach to generalization
    Karim Lounici, Katia Meziani, Benjamin Riu
    http://arxiv.org/abs/2102.08769v1

    • [stat.ML]On the Fundamental Limits of Exact Inference in Structured Prediction
    Hanbyul Lee, Kevin Bello, Jean Honorio
    http://arxiv.org/abs/2102.08895v1

    • [stat.ML]Robust Estimation of Tree Structured Markov Random Fields
    Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis
    http://arxiv.org/abs/2102.08554v1

    • [stat.ML]Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach
    Marco J. H. Puts, Piet J. H. Daas
    http://arxiv.org/abs/2102.08659v1