归档 - 今日学术视野(2021.2.25) - 《爱可可老师分享》

cond-mat.dis-nn - 无序系统与神经网络

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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、统计和概率 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [cond-mat.dis-nn]Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods Methods in Paradigmatic High-Dimensional Non-Convex Problem
• [cs.AI]Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
• [cs.AI]An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
• [cs.AI]Differentiable Logic Machines
• [cs.AI]Distributed Application of Guideline-Based Decision Support through Mobile Devices: Implementation and Evaluation
• [cs.AI]Individualized Context-Aware Tensor Factorization for Online Games Predictions
• [cs.AI]Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
• [cs.AI]Parameterized Complexity of Logic-Based Argumentation in Schaefer’s Framework
• [cs.AI]Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
• [cs.AI]School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
• [cs.AI]Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
• [cs.CL]A Novel Deep Learning Method for Textual Sentiment Analysis
• [cs.CL]Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations
• [cs.CL]Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms
• [cs.CL]Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
• [cs.CL]Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
• [cs.CL]Exploring Supervised and Unsupervised Rewards in Machine Translation
• [cs.CL]Factorization of Fact-Checks for Low Resource Indian Languages
• [cs.CL]Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
• [cs.CL]MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture
• [cs.CL]Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
• [cs.CL]Paraphrases do not explain word analogies
• [cs.CL]RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning
• [cs.CL]ReINTEL Challenge 2020: Exploiting Transfer Learning Modelsfor Reliable Intelligence Identification on Vietnamese Social Network Sites
• [cs.CL]Regular Expressions for Fast-response COVID-19 Text Classification
• [cs.CR]Data Driven Testing of Cyber Physical Systems
• [cs.CR]Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
• [cs.CV]A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures
• [cs.CV]Adversarial Examples Detection beyond Image Space
• [cs.CV]Automatic Ship Classification Utilizing Bag of Deep Features
• [cs.CV]Comparative evaluation of CNN architectures for Image Caption Generation
• [cs.CV]Deep Deformation Detail Synthesis for Thin Shell Models
• [cs.CV]Domain-invariant NBV Planner for Active Cross-domain Self-localization
• [cs.CV]Dynamic Neural Garments
• [cs.CV]Enhanced Modality Transition for Image Captioning
• [cs.CV]FaceController: Controllable Attribute Editing for Face in the Wild
• [cs.CV]Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images
• [cs.CV]Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs
• [cs.CV]Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
• [cs.CV]Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning
• [cs.CV]Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
• [cs.CV]No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
• [cs.CV]Page Layout Analysis System for Unconstrained Historic Documents
• [cs.CV]Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
• [cs.CV]Procam Calibration from a Single Pose of a Planar Target
• [cs.CV]RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
• [cs.CV]ROAD: The ROad event Awareness Dataset for Autonomous Driving
• [cs.CV]Representation Disentanglement for Multi-modal MR Analysis
• [cs.CV]Rethinking Natural Adversarial Examples for Classification Models
• [cs.CV]SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology
• [cs.CV]STEP: Segmenting and Tracking Every Pixel
• [cs.CV]Sandwich Batch Normalization
• [cs.CV]Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
• [cs.CV]SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
• [cs.CV]Shadow Image Enlargement Distortion Removal
• [cs.CV]The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers
• [cs.CV]Uncertainty-aware Generalized Adaptive CycleGAN
• [cs.CV]UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
• [cs.CV]Weakly-supervised multi-class object localization using only object counts as labels
• [cs.CY]An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the influence of attention, memory, and executive function processes on real-world prospective memory
• [cs.CY]Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) — Potentials and Pitfalls for Top-down and Bottom-up Approaches
• [cs.CY]Assessing the Readability of Policy Documents on the Digital Single Market of the European Union
• [cs.CY]EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
• [cs.CY]Improving Concept Learning Through Specialized Digital Fanzines
• [cs.DB]Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
• [cs.DC]Lower Bounds on the State Complexity of Population Protocols
• [cs.DC]Massively Parallel Correlation Clustering in Bounded Arboricity Graphs
• [cs.DS]A High-dimensional Sparse Fourier Transform in the Continuous Setting
• [cs.GR]Generative Modelling of BRDF Textures from Flash Images
• [cs.IR]Neural Feature Selection for Learning to Rank
• [cs.IT]Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication
• [cs.IT]Covert MIMO Communications under Variational Distance Constraint
• [cs.IT]Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections
• [cs.IT]On the Generic Low-Rank Matrix Completion Problems
• [cs.IT]Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels
• [cs.IT]Quasi-Distributed Antenna Selection for Spectral Efficiency Maximization in Subarray Switching XL-MIMO Systems
• [cs.IT]Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems
• [cs.IT]The Channel Between Randomly Oriented Dipoles: Statistics and Outage in the Near and Far Field
• [cs.LG]A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
• [cs.LG]A Simulation-Based Test of Identifiability for Bayesian Causal Inference
• [cs.LG]ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
• [cs.LG]Accelerating Recursive Partition-Based Causal Structure Learning
• [cs.LG]Accurate Learning of Graph Representations with Graph Multiset Pooling
• [cs.LG]Action Redundancy in Reinforcement Learning
• [cs.LG]Anytime Sampling for Autoregressive Models via Ordered Autoencoding
• [cs.LG]Assigning Confidence to Molecular Property Prediction
• [cs.LG]Automated Discovery of Adaptive Attacks on Adversarial Defenses
• [cs.LG]CAC: A Clustering Based Framework for Classification
• [cs.LG]Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
• [cs.LG]Controllable and Diverse Text Generation in E-commerce
• [cs.LG]Convergence rates for gradient descent in the training of overparameterized artificial neural networks with biases
• [cs.LG]Data Engineering for Everyone
• [cs.LG]Data-driven analysis of central bank digital currency (CBDC) projects drivers
• [cs.LG]Decision Rule Elicitation for Domain Adaptation
• [cs.LG]Deep Convolutional Neural Networks with Unitary Weights
• [cs.LG]Deep Policy Dynamic Programming for Vehicle Routing Problems
• [cs.LG]DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
• [cs.LG]Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
• [cs.LG]Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
• [cs.LG]Dynamic Labeling for Unlabeled Graph Neural Networks
• [cs.LG]EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
• [cs.LG]Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
• [cs.LG]Equivariant neural networks for inverse problems
• [cs.LG]Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
• [cs.LG]GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning
• [cs.LG]Generative Archimedean Copulas
• [cs.LG]Greedy Multi-step Off-Policy Reinforcement Learning
• [cs.LG]HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
• [cs.LG]HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
• [cs.LG]Home and destination attachment: study of cultural integration on Twitter
• [cs.LG]Identifying Physical Law of Hamiltonian Systems via Meta-Learning
• [cs.LG]Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression
• [cs.LG]Learning to Fairly Classify the Quality of WirelessLinks
• [cs.LG]Learning to Stop with Surprisingly Few Samples
• [cs.LG]Learning with User-Level Privacy
• [cs.LG]Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods
• [cs.LG]Linear Transformers Are Secretly Fast Weight Memory Systems
• [cs.LG]MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
• [cs.LG]MagNet: A Magnetic Neural Network for Directed Graphs
• [cs.LG]Measuring Data Leakage in Machine-Learning Models with Fisher Information
• [cs.LG]Mixed Policy Gradient
• [cs.LG]Model-Attentive Ensemble Learning for Sequence Modeling
• [cs.LG]Modeling Multi-Destination Trips with Sketch-Based Model
• [cs.LG]Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory
• [cs.LG]Parallelizing Legendre Memory Unit Training
• [cs.LG]Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference
• [cs.LG]QuPeL: Quantized Personalization with Applications to Federated Learning
• [cs.LG]Sample-Efficient Learning of Stackelberg Equilibria i
8c3
n General-Sum Games
• [cs.LG]Scaling up learning with GAIT-prop
• [cs.LG]SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
• [cs.LG]Strategic Classification in the Dark
• [cs.LG]Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning
• [cs.LG]Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
• [cs.LG]V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
• [cs.LG]When is Early Classification of Time Series Meaningful?
• [cs.LG]Winning Ticket in Noisy Image Classification
• [cs.LG]You Only Compress Once: Optimal Data Compression for Estimating Linear Models
• [cs.MA]Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation
• [cs.NE]Analysis of Evolutionary Diversity Optimisation for Permutation Problems
• [cs.NE]Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms
• [cs.NE]Multi-Space Evolutionary Search for Large-Scale Optimization
• [cs.NE]Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems
• [cs.NE]Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II
• [cs.NI]PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT
• [cs.RO]3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
• [cs.RO]An Interaction-aware Evaluation Method for Highly Automated Vehicles
• [cs.RO]DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
• [cs.RO]Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets
• [cs.RO]Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions
• [cs.RO]Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
• [cs.RO]Interpretability in Contact-Rich Manipulation via Kinodynamic Images
• [cs.RO]Mathematical Properties of Generalized Shape Expansion-Based Motion Planning Algorithms
• [cs.RO]Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
• [cs.RO]Smart Navigation for an In-pipe Robot Through Multi-phase Motion Control and Particle Filtering Method
• [cs.SD]Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
• [cs.SD]Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations
• [cs.SD]Memory-efficient Speech Recognition on Smart Devices
• [cs.SE]Mutation Testing framework for Machine Learning
• [cs.SE]Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification
• [cs.SI]An ontological analysis of misinformation in online social networks
• [cs.SI]MultiWalk: A Framework to Generate Node Embeddings Based on an Ensemble of Walk Methods
• [cs.SI]Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
• [econ.EM]Bridging factor and sparse models
• [econ.EM]Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions
• [econ.EM]Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem
• [eess.AS]Evolutionary optimization of contexts for phonetic correction in speech recognition systems
• [eess.IV]Cell abundance aware deep learning for cell detection on highly imbalanced pathological data
• [eess.IV]Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks
• [eess.IV]Deep Unrolled Network for Video Super-Resolution
• [eess.IV]Histo-fetch — On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training
• [eess.IV]Unsupervised Brain Anomaly Detection and Segmentation with Transformers
• [eess.IV]VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
• [eess.SP]Federated Learning for Physical Layer Design
• [eess.SP]Performance Improvement of LoRa Modulation with Signal Combining
• [eess.SY]Recurrent Model Predictive Control
• [math.OC]Direct-Search for a Class of Stochastic Min-Max Problems
• [math.OC]Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
• [math.PR]Robust Naive Learning in Social Networks
• [math.ST]Factorization and discrete-time representation of multivariate CARMA processes
• [math.ST]Product-form estimators: exploiting independence to scale up Monte Carlo
• [math.ST]Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests
• [physics.data-an]Progresses and Challenges in Link Prediction
• [physics.soc-ph]Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys
• [q-bio.PE]Exact epidemic models from a tensor product formulation
• [q-bio.PE]On Sexual Selection
• [quant-ph]Machine Learning Regression for Operator Dynamics
• [quant-ph]Ray-based framework for state identification in quantum dot devices
• [stat.AP]A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations
• [stat.AP]An Online Approach to Cyberattack Detection and Localization in Smart Grid
• [stat.AP]Positive results from UK single gene testing for SARS-COV-2 may be inconclusive, negative or detecting past infections
• [stat.CO]intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset
• [stat.ME]A Bayesian Spatial Modeling Approach to Mortality Forecasting
• [stat.ME]A robust multivariate linear non-parametric maximum likelihood model for ties
• [stat.ME]An Aligned Rank Transform Procedure for Multifactor Contrast Tests
• [stat.ME]Bayesian Non-parametric Quantile Process Regression and Estimation of Marginal Quantile Effects
• [stat.ME]Estimating Sibling Spillover Effects with Unobserved Confounding Using Gain-Scores
• [stat.ME]Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix
• [stat.ME]Identifying Gene-environment interactions with robust marginal Bayesian variable selection
• [stat.ME]Left-censored recurrent event analysis in epidemiological studies: a proposal when the number of previous episodes is unknown
• [stat.ME]Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach
• [stat.ME]Permutation-based true discovery guarantee by sum tests
• [stat.ME]Sharp Inference on Selected Subgroups in Observational Studies
• [stat.ML]Causal Mediation Analysis with Hidden Confounders
• [stat.ML]Model-Based Domain Generalization
• [stat.ML]Solving high-dimensional parabolic PDEs using the tensor train format

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• [cond-mat.dis-nn]Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods Methods in Paradigmatic High-Dimensional Non-Convex Problem
Stefano Sarao Mannelli, Pierfrancesco Urbani
http://arxiv.org/abs/2102.11755v1

• [cs.AI]Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10711v2

• [cs.AI]An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
http://arxiv.org/abs/2102.11848v1

• [cs.AI]Differentiable Logic Machines
Zimmer Matthieu, Feng Xuening, Glanois Claire, Jiang Zhaohui, Zhang Jianyi, Weng Paul, Jianye Hao, Dong Li, Wulong Liu
http://arxiv.org/abs/2102.11529v1

• [cs.AI]Distributed Application of Guideline-Based Decision Support through Mobile Devices: Implementation and Evaluation
Erez Shalom, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Valerie Jones, Boris Van Schooten, Yuval Shahar
http://arxiv.org/abs/2102.11314v1

• [cs.AI]Individualized Context-Aware Tensor Factorization for Online Games Predictions
Julie Jiang, Kristina Lerman, Emilio Ferrara
http://arxiv.org/abs/2102.11352v1

• [cs.AI]Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
Kin Max Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
http://arxiv.org/abs/2102.11791v1

• [cs.AI]Parameterized Complexity of Logic-Based Argumentation in Schaefer’s Framework
Yasir Mahmood, Arne Meier, Johannes Schmidt
http://arxiv.org/abs/2102.11782v1

• [cs.AI]Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao
http://arxiv.org/abs/2102.11570v1

• [cs.AI]School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Omkar Shelke, Hardik Meisheri, Harshad Khadilkar
http://arxiv.org/abs/2102.11762v1

• [cs.AI]Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
Mirza Ramicic, Andrea Bonarini
http://arxiv.org/abs/2102.11232v2

• [cs.CL]A Novel Deep Learning Method for Textual Sentiment Analysis
Hossein Sadr, Mozhdeh Nazari Solimandarabi, Mir Mohsen Pedram, Mohammad Teshnehlab
http://arxiv.org/abs/2102.11651v1

• [cs.CL]Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations
Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan
http://arxiv.org/abs/2102.11573v1

• [cs.CL]Discussion Tracker: Supporting Teacher Learning about Students’ Collaborative Argumentation in High School Classrooms
Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane Litman, Amanda Godley
http://arxiv.org/abs/2102.
1000
10293v1.
1000
10293v1)

• [cs.CL]Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation
Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji
http://arxiv.org/abs/2102.11584v1

• [cs.CL]Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
http://arxiv.org/abs/2102.11387v1

• [cs.CL]Exploring Supervised and Unsupervised Rewards in Machine Translation
Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia
http://arxiv.org/abs/2102.11403v1

• [cs.CL]Factorization of Fact-Checks for Low Resource Indian Languages
Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru
http://arxiv.org/abs/2102.11276v1

• [cs.CL]Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Xinyang Zhang, Chenwei Zhang, Luna Xin Dong, Jingbo Shang, Jiawei Han
http://arxiv.org/abs/2102.11479v1

• [cs.CL]MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture
Wancong Zhang, Ieshan Vaidya
http://arxiv.org/abs/2102.11402v1

• [cs.CL]Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
Emmanouil Stergiadis, Satendra Kumar, Fedor Kovalev, Pavel Levin
http://arxiv.org/abs/2102.10160v1

• [cs.CL]Paraphrases do not explain word analogies
Louis Fournier, Ewan Dunbar
http://arxiv.org/abs/2102.11749v1

• [cs.CL]RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning
Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad
http://arxiv.org/abs/2102.11278v1

• [cs.CL]ReINTEL Challenge 2020: Exploiting Transfer Learning Modelsfor Reliable Intelligence Identification on Vietnamese Social Network Sites
Kim Thi-Thanh Nguyen, Kiet Van Nguyen
http://arxiv.org/abs/2102.10794v2

• [cs.CL]Regular Expressions for Fast-response COVID-19 Text Classification
Igor L. Markov, Jacqueline Liu, Adam Vagner
http://arxiv.org/abs/2102.09507v2

• [cs.CR]Data Driven Testing of Cyber Physical Systems
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh
http://arxiv.org/abs/2102.11491v1

• [cs.CR]Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
http://arxiv.org/abs/2102.11502v1

• [cs.CV]A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures
Pengcheng Liu, Nathan Hewitt, Waseem Shadid, Andrew Willis
http://arxiv.org/abs/2102.11684v1

• [cs.CV]Adversarial Examples Detection beyond Image Space
Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu
http://arxiv.org/abs/2102.11586v1

• [cs.CV]Automatic Ship Classification Utilizing Bag of Deep Features
Sadegh Soleimani Pour, Ata Jodeiri, Hossein Rashidi, Seyed Mostafa Mirhassani, Hoda Kheradfallah, Hadi Seyedarabi
http://arxiv.org/abs/2102.11520v1

• [cs.CV]Comparative evaluation of CNN architectures for Image Caption Generation
Sulabh Katiyar, Samir Kumar Borgohain
http://arxiv.org/abs/2102.11506v1

• [cs.CV]Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai
http://arxiv.org/abs/2102.11541v1

• [cs.CV]Domain-invariant NBV Planner for Active Cross-domain Self-localization
Kanji Tanaka
http://arxiv.org/abs/2102.11530v1

• [cs.CV]Dynamic Neural Garments
Meng Zhang, Duygu Ceylan, Tuanfeng Wang, Niloy J. Mitra
http://arxiv.org/abs/2102.11811v1

• [cs.CV]Enhanced Modality Transition for Image Captioning
Ziwei Wang, Yadan Luo, Zi Huang
http://arxiv.org/abs/2102.11526v1

• [cs.CV]FaceController: Controllable Attribute Editing for Face in the Wild
Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai
http://arxiv.org/abs/2102.11464v1

• [cs.CV]Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images
Donghui Yan, Jian Zou, Zhenpeng Li
http://arxiv.org/abs/2102.11396v1

• [cs.CV]Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs
Masuda Akter Tonima, Fatemeh Esfahani, Austin Dehart, Youmin Zhang
http://arxiv.org/abs/2102.11385v1

• [cs.CV]Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
Vinay Kumar Verma, Kevin Liang, Nikhil Mehta, Lawrence Carin
http://arxiv.org/abs/2102.11856v1

• [cs.CV]Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning
Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
http://arxiv.org/abs/2102.11566v1

• [cs.CV]Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Wuyang Chen, Xinyu Gong, Zhangyang Wang
http://arxiv.org/abs/2102.11535v1

• [cs.CV]No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
Wei Zhou, Jiahua Xu, Qiuping Jiang, Zhibo Chen
http://arxiv.org/abs/2102.11393v1

• [cs.CV]Page Layout Analysis System for Unconstrained Historic Documents
Oldřich Kodym, Michal Hradiš
http://arxiv.org/abs/2102.11838v1

• [cs.CV]Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel
http://arxiv.org/abs/2102.11865v1

• [cs.CV]Procam Calibration from a Single Pose of a Planar Target
Ghani O. Lawal, Michael Greenspan
http://arxiv.org/abs/2102.11395v1

• [cs.CV]RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
Marco Wallner, Daniel Steininger, Verena Widhalm, Matthias Schörghuber, Csaba Beleznai
http://arxiv.org/abs/2102.11730v1

• [cs.CV]ROAD: The ROad event Awareness Dataset for Autonomous Driving
Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddisaravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin
http://arxiv.org/abs/2102.11585v1

• [cs.CV]Representation Disentanglement for Multi-modal MR Analysis
Jiahong Ouyang, Ehsan Adeli, Kilian M Pohl, Qingyu Zhao, Greg Zaharchuk
http://arxiv.org/abs/2102.11456v1

• [cs.CV]Rethinking Natural Adversarial Examples for Classification Models
Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu
http://arxiv.org/abs/2102.11731v1

• [cs.CV]SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology
Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka
http://arxiv.org/abs/2102.11560v1

• [cs.CV]STEP: Segmenting and Tracking Every Pixel
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green
6210, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen
http://arxiv.org/abs/2102.11859v1

• [cs.CV]Sandwich Batch Normalization
Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
http://arxiv.org/abs/2102.11382v1

• [cs.CV]Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
Weijie Chen, Luojun Lin, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang, Wenqi Ren
http://arxiv.org/abs/2102.11614v1

• [cs.CV]SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
Sourav Garg, Michael Milford
http://arxiv.org/abs/2102.11603v1

• [cs.CV]Shadow Image Enlargement Distortion Removal
Raid R. Al-Nima, Ali N. Hamoodi, Radhwan Y. Al-Jawadi, Ziad S. Mohammad
http://arxiv.org/abs/2102.11356v1

• [cs.CV]The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers
Xavier Ignacio González
http://arxiv.org/abs/2102.11361v1

• [cs.CV]Uncertainty-aware Generalized Adaptive CycleGAN
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
http://arxiv.org/abs/2102.11747v1

• [cs.CV]UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
Mohamed El Banani, Luya Gao, Justin Johnson
http://arxiv.org/abs/2102.11870v1

• [cs.CV]Weakly-supervised multi-class object localization using only object counts as labels
Kyle Mills, Isaac Tamblyn
http://arxiv.org/abs/2102.11743v1

• [cs.CY]An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the influence of attention, memory, and executive function processes on real-world prospective memory
Panagiotis Kourtesis, Sarah E. MacPherson
http://arxiv.org/abs/2102.11652v1

• [cs.CY]Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) — Potentials and Pitfalls for Top-down and Bottom-up Approaches
Nils Köbis, Christopher Starke, Iyad Rahwan
http://arxiv.org/abs/2102.11567v1

• [cs.CY]Assessing the Readability of Policy Documents on the Digital Single Market of the European Union
Jukka Ruohonen
http://arxiv.org/abs/2102.11625v1

• [cs.CY]EscapeWildFire: Assisting People to Escape Wildfires in Real-Time
Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou
http://arxiv.org/abs/2102.11558v1

• [cs.CY]Improving Concept Learning Through Specialized Digital Fanzines
Jose Manuel Redondo
http://arxiv.org/abs/2102.11147v1

• [cs.DB]Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
http://arxiv.org/abs/2102.11389v1

• [cs.DC]Lower Bounds on the State Complexity of Population Protocols
Philipp Czerner, Javier Esparza
http://arxiv.org/abs/2102.11619v1

• [cs.DC]Massively Parallel Correlation Clustering in Bounded Arboricity Graphs
Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto
http://arxiv.org/abs/2102.11660v1

• [cs.DS]A High-dimensional Sparse Fourier Transform in the Continuous Setting
Liang Chen
http://arxiv.org/abs/2102.10939v2

• [cs.GR]Generative Modelling of BRDF Textures from Flash Images
Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel
http://arxiv.org/abs/2102.11861v1

• [cs.IR]Neural Feature Selection for Learning to Rank
Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
http://arxiv.org/abs/2102.11345v1

• [cs.IT]Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication
Xinrong Guan, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/2102.10886v2

• [cs.IT]Covert MIMO Communications under Variational Distance Constraint
Shi-Yuan Wang, Matthieu R. Bloch
http://arxiv.org/abs/2102.11336v1

• [cs.IT]Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections
Seyedehsara Nayer, Namrata Vaswani
http://arxiv.org/abs/2102.10217v2

• [cs.IT]On the Generic Low-Rank Matrix Completion Problems
Yuan Zhang, Yuanqing Xia, Hongwei Zhang, Gang Wang, Li Dai
http://arxiv.org/abs/2102.11490v1

• [cs.IT]Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels
Trinh Van Chien, Anastasios K. Papazafeiropoulos, Lam Thanh Tu, Ribhu Chopra, Symeon Chatzinotas, Björn Ottersten
http://arxiv.org/abs/2102.11408v1

• [cs.IT]Quasi-Distributed Antenna Selection for Spectral Efficiency Maximization in Subarray Switching XL-MIMO Systems
Joao Henrique Inacio de Souza, Abolfazl Amiri, Taufik Abrao, Elisabeth de Carvalho, Petar Popovski
http://arxiv.org/abs/2102.11438v1

• [cs.IT]Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
http://arxiv.org/abs/2102.11392v1

• [cs.IT]The Channel Between Randomly Oriented Dipoles: Statistics and Outage in the Near and Far Field
Gregor Dumphart, Armin Wittneben
http://arxiv.org/abs/2102.11683v1

• [cs.LG]A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information
Cindy Trinh, Richard Combes
http://arxiv.org/abs/2102.10200v1

• [cs.LG]A Simulation-Based Test of Identifiability for Bayesian Causal Inference
Sam Witty, David Jensen, Vikash Mansinghka
http://arxiv.org/abs/2102.11761v1

• [cs.LG]ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon, Jeongseop Kim, Hyunseo Park, In Kwon Choi
http://arxiv.org/abs/2102.11600v1

• [cs.LG]Accelerating Recursive Partition-Based Causal Structure Learning
Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid
http://arxiv.org/abs/2102.11545v1

• [cs.LG]Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek, Minki Kang, Sung Ju Hwang
http://arxiv.org/abs/2102.11533v1

• [cs.LG]Action Redundancy in Reinforcement Learning
Nir Baram, Guy Tennenholtz, Shie Mannor
http://arxiv.org/abs/2102.11329v1

• [cs.LG]Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
http://arxiv.org/abs/2102.11495v1

• [cs.LG]Assigning Confidence to Molecular Property Prediction
AkshatKumar Nigam, Robert Pollice, Matthew F. D. Hurley, Riley J. Hickman, Matteo Aldeghi, Naruki Yoshikawa, Seyone Chithrananda, Vincent A. Voelz, Alán Aspuru-Guzik
http://arxiv.org/abs/2102.11439v1

• [cs.LG]Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin Vechev
http://arxiv.org/abs/2102.11860v1

• [cs.LG]CAC: A Clustering Based Framework for Classification
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
http://arxiv.org/abs/2102.11872v1

• [cs.LG]Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová
http://arxiv.org/abs/2102.11742v1

• [cs.LG]Controllable and Diverse Text Generation in E-commerce
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek Abdelzaher
http://arxiv.org/abs/2102.11497v1

• [cs.LG]Convergence rates for gradient descent in the training of overparameterized artificial neural networks with biases
Arnulf Jentzen, Timo Kröger
http://arxiv.org/abs/2102.11840v1

• [cs.LG]Data Engineering for Everyone
Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter
http://arxiv.org/abs/2102.11447v1

• [cs.LG]Data-driven analysis of central bank digital currency (CBDC) projects drivers
Toshiko Matsui, Daniel Perez
http://arxiv.org/abs/2102.11807v1

• [cs.LG]Decision Rule Elicitation for Domain Adaptation
Alexander Nikitin, Samuel Kaski
http://arxiv.org/abs/2102.11539v1

• [cs.LG]Deep Convolutional Neural Networks with Unitary Weights
Hao-Yuan Chang, Kang L. Wang
http://arxiv.org/abs/2102.11855v1

• [cs.LG]Deep Policy Dynamic Programming for Vehicle Routing Problems
Wouter Kool, Herke van Hoof, Joaquim Gromicho, Max Welling
http://arxiv.org/abs/2102.11756v1

• [cs.LG]DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Xianyuan Zhan, Haoran Xu, Yue Zhang, Yusen Huo, Xiangyu Zhu, Honglei Yin, Yu Zheng
http://arxiv.org/abs/2102.11492v1

• [cs.LG]Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
http://arxiv.org/abs/2102.11582v1

• [cs.LG]Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
http://arxiv.org/abs/2102.11866v1

• [cs.LG]Dynamic Labeling for Unlabeled Graph Neural Networks
Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
http://arxiv.org/abs/2102.11485v1

• [cs.LG]EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
Zhisheng Xiao, Qing Yan, Yali Amit
http://arxiv.org/abs/2102.11757v1

• [cs.LG]Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
Xiaoyang Qu, Jianzong Wang, Jing Xiao
http://arxiv.org/abs/2102.11638v1

• [cs.LG]Equivariant neural networks for inverse problems
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
http://arxiv.org/abs/2102.11504v1

• [cs.LG]Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Jan Achterhold, Joerg Stueckler
http://arxiv.org/abs/2102.11394v1

• [cs.LG]GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning
Guy Tennenholtz, Nir Baram, Shie Mannor
http://arxiv.org/abs/2102.11327v1

• [cs.LG]Generative Archimedean Copulas
Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh
http://arxiv.org/abs/2102.11351v1

• [cs.LG]Greedy Multi-step Off-Policy Reinforcement Learning
Yuhui Wang, Pengcheng He, Xiaoyang Tan
http://arxiv.org/abs/2102.11717v1

• [cs.LG]HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
http://arxiv.org/abs/2102.11344v1

• [cs.LG]HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor
http://arxiv.org/abs/2102.11646v1

• [cs.LG]Home and destination attachment: study of cultural integration on Twitter
Jisu Kim, Alina Sîrbu, Giulio Rossetti, Fosca Giannotti, Hillel Rapoport
http://arxiv.org/abs/2102.11398v1

• [cs.LG]Identifying Physical Law of Hamiltonian Systems via Meta-Learning
Seungjun Lee, Haesang Yang, Woojae Seong
http://arxiv.org/abs/2102.11544v1

• [cs.LG]Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression
Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal
http://arxiv.org/abs/2102.11409v1

• [cs.LG]Learning to Fairly Classify the Quality of WirelessLinks
Gregor Cerar, Halil Yetgin, Mihael Mohorčič, Carolina Fortuna
http://arxiv.org/abs/2102.11655v1

• [cs.LG]Learning to Stop with Surprisingly Few Samples
Daniel Russo, Assaf Zeevi, Tianyi Zhang
http://arxiv.org/abs/2102.10025v2

• [cs.LG]Learning with User-Level Privacy
Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
http://arxiv.org/abs/2102.11845v1

• [cs.LG]Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods
Amrith Setlur, Oscar Li, Virginia Smith
http://arxiv.org/abs/2102.11503v1

• [cs.LG]Linear Transformers Are Secretly Fast Weight Memory Systems
Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
http://arxiv.org/abs/2102.11174v2

• [cs.LG]MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor
http://arxiv.org/abs/2102.11448v1

• [cs.LG]MagNet: A Magnetic Neural Network for Directed Graphs
Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew Hirn
http://arxiv.org/abs/2102.11391v1

• [cs.LG]Measuring Data Leakage in Machine-Learning Models with Fisher Information
Awni Hannun, Chuan Guo, Laurens van der Maaten
http://arxiv.org/abs/2102.11673v1

• [cs.LG]Mixed Policy Gradient
Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng
http://arxiv.org/abs/2102.11513v1

• [cs.LG]Model-Attentive Ensemble Learning for Sequence Modeling
Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar
http://arxiv.org/abs/2102.11500v1

• [cs.LG]Modeling Multi-Destination Trips with Sketch-Based Model
Michał Daniluk, Barbara Rychalska, Konrad Gołuchowski, Jacek Dąbrowski
http://arxiv.org/abs/2102.11252v2

• [cs.LG]Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory
Navid Reyhanian, Jarvis Haupt
http://arxiv.org/abs/2102.11822v1

• [cs.LG]Parallelizing Legendre Memory Unit Training
Narsimha Chilkuri, Chris Eliasmith
http://arxiv.org/abs/2102.11417v1

• [cs.LG]Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference
Benjamin Hawks, Javier Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
http://arxiv.org/abs/2102.11289v1

• [cs.LG]QuPeL: Quantized Personalization with Applications to Federated Learning
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi
http://arxiv.org/abs/2102.11786v1

• [cs.LG]Sample-Efficient Learning of Stackelberg Equilibria i
8c3
n General-Sum Games
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong
http://arxiv.org/abs/2102.11494v1

• [cs.LG]Scaling up learning with GAIT-prop
Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven
http://arxiv.org/abs/2102.11598v1

• [cs.LG]SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin
http://arxiv.org/abs/2102.11517v1

• [cs.LG]Strategic Classification in the Dark
Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
http://arxiv.org/abs/2102.11592v1

• [cs.LG]Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning
Brett Daley, Cameron Hickert, Christopher Amato
http://arxiv.org/abs/2102.11319v1

• [cs.LG]Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan Yuille
http://arxiv.org/abs/2102.11343v1

• [cs.LG]V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer
http://arxiv.org/abs/2102.11498v1

• [cs.LG]When is Early Classification of Time Series Meaningful?
Renjie Wu, Audrey Der, Eamonn J. Keogh
http://arxiv.org/abs/2102.11487v1

• [cs.LG]Winning Ticket in Noisy Image Classification
Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun
http://arxiv.org/abs/2102.11628v1

• [cs.LG]You Only Compress Once: Optimal Data Compression for Estimating Linear Models
Jeffrey Wong, Eskil Forsell, Randall Lewis, Tobias Mao, Matthew Wardrop
http://arxiv.org/abs/2102.11297v1

• [cs.MA]Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation
Gabriel Istrate
http://arxiv.org/abs/2102.11615v1

• [cs.NE]Analysis of Evolutionary Diversity Optimisation for Permutation Problems
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
http://arxiv.org/abs/2102.11469v1

• [cs.NE]Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
http://arxiv.org/abs/2102.11461v1

• [cs.NE]Multi-Space Evolutionary Search for Large-Scale Optimization
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon On
http://arxiv.org/abs/2102.11693v1

• [cs.NE]Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems
Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad A. Al Faruque
http://arxiv.org/abs/2102.11450v1

• [cs.NE]Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II
Vangala Sarveswararao, Vadlamani Ravi, Sheik Tanveer Ul Huq
http://arxiv.org/abs/2102.11427v1

• [cs.NI]PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT
Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen
http://arxiv.org/abs/2102.11623v1

• [cs.RO]3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10710v2

• [cs.RO]An Interaction-aware Evaluation Method for Highly Automated Vehicles
Xinpeng Wang, Songan Zhang, Kuan-Hui Lee, Huei Peng
http://arxiv.org/abs/2102.11462v1

• [cs.RO]DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
http://arxiv.org/abs/2102.11003v2

• [cs.RO]Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets
B. V. Vidyadhara, Lima Agnel Tony, Mohitvishnu S. Gadde, Shuvrangshu Jana, V. P. Varun, Aashay Anil Bhise, Suresh Sundaram, Debasish Ghose
http://arxiv.org/abs/2102.11662v1

• [cs.RO]Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions
Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquin Carrasco
http://arxiv.org/abs/2102.10709v2

• [cs.RO]Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
Nikola Vulin, Sammy Christen, Stefan Stevsic, Otmar Hilliges
http://arxiv.org/abs/org/abs/2102.11051v1

• [cs.RO]Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Ioanna Mitsioni, Joonatan Mänttäri, Yiannis Karayiannidis, John Folkesson, Danica Kragic
http://arxiv.org/abs/2102.11825v1

• [cs.RO]Mathematical Properties of Generalized Shape Expansion-Based Motion Planning Algorithms
Adhvaith Ramkumar, Vrushabh Zinage, Satadal Ghosh
http://arxiv.org/abs/2102.11478v1

• [cs.RO]Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
Jiayi He, Xin Gong, Yukang Cui, Tingwen Huang
http://arxiv.org/abs/2102.11696v1

• [cs.RO]Smart Navigation for an In-pipe Robot Through Multi-phase Motion Control and Particle Filtering Method
Saber Kazeminasab, Vahid Janfaza, Moein Razavi, M. Katherine Banks
http://arxiv.org/abs/2102.11434v1

• [cs.SD]Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
Julio Wissing, Benedikt Boenninghoff, Dorothea Kolossa, Tsubasa Ochiaiy, Marc Delcroixy, Keisuke Kinoshitay, Tomohiro Nakataniy, Shoko Arakiy, Christopher Schymura
http://arxiv.org/abs/2102.11588v1

• [cs.SD]Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations
Antonio Joia Neto, Andre G C Pacheco, Diogo C Luvizon
http://arxiv.org/abs/2102.11771v1

• [cs.SD]Memory-efficient Speech Recognition on Smart Devices
Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
http://arxiv.org/abs/2102.11531v1

• [cs.SE]Mutation Testing framework for Machine Learning
Raju
http://arxiv.org/abs/2102.10961v1

• [cs.SE]Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification
Hongzhen Zhong, Hai Wan, Weilin Luo, Zhanhao Xiao, Jia Li, Biqing Fang
http://arxiv.org/abs/2102.11482v1

• [cs.SI]An ontological analysis of misinformation in online social networks
Izzat Alsmadi, Iyad Alazzam, Mohammad A. AlRamahi
http://arxiv.org/abs/2102.11362v1

• [cs.SI]MultiWalk: A Framework to Generate Node Embeddings Based on an Ensemble of Walk Methods
Kaléu Delphino
http://arxiv.org/abs/2102.11691v1

• [cs.SI]Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
Bibek Paudel, Abraham Bernstein
http://arxiv.org/abs/2102.09635v2

• [econ.EM]Bridging factor and sparse models
Jianqing Fan, Ricardo Masini, Marcelo C. Medeiros
http://arxiv.org/abs/2102.11341v1

• [econ.EM]Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions
Alain Hecq, Marie Ternes, Ines Wilms
http://arxiv.org/abs/2102.11780v1

• [econ.EM]Misguided Use of Observed Covariates to Impute Missing Covariates in Conditional Prediction: A Shrinkage Problem
Charles F Manski, Michael Gmeiner, Anat Tamburc
http://arxiv.org/abs/2102.11334v1

• [eess.AS]Evolutionary optimization of contexts for phonetic correction in speech recognition systems
Rafael Viana-Cámara, Diego Campos-Sobrino, Mario Campos-Soberanis
http://arxiv.org/abs/2102.11480v1

• [eess.IV]Cell abundance aware deep learning for cell detection on highly imbalanced pathological data
Yeman Brhane Hagos, Catherine SY Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez- Justo, Kwee Yong, Yinyin Yuan
http://arxiv.org/abs/2102.11677v1

• [eess.IV]Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks
Elham Yousef Kalaf, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Binti Rahman, Nur Aishah Taib, Sarinder Kaur Dhillon
http://arxiv.org/abs/2102.11519v1

• [eess.IV]Deep Unrolled Network for Video Super-Resolution
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
http://arxiv.org/abs/2102.11720v1

• [eess.IV]Histo-fetch — On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training
Brendon Lutnick, Leema Krishna Murali, Brandon Ginley, Pinaki Sarder
http://arxiv.org/abs/2102.11433v1

• [eess.IV]Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
http://arxiv.org/abs/2102.11650v1

• [eess.IV]VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Saahil Jain, Akshay Smit, Steven QH Truong, Chanh DT Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar
http://arxiv.org/abs/2102.11467v1

• [eess.SP]Federated Learning for Physical Layer Design
Ahmet M. Elbir, Anastasios K. Papazafeiropoulos, Symeon Chatzinotas
http://arxiv.org/abs/2102.11777v1

• [eess.SP]Performance Improvement of LoRa Modulation with Signal Combining
The Khai Nguyen, Ha H. Nguyen, Ebrahim Bedeer
http://arxiv.org/abs/2102.11509v1

• [eess.SY]Recurrent Model Predictive Control
Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng
http://arxiv.org/abs/2102.11736v1

• [math.OC]Direct-Search for a Class of Stochastic Min-Max Problems
Sotiris Anagnostidis, Aurelien Lucchi, Youssef Diouane
http://arxiv.org/abs/2102.11386v1

• [math.OC]Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy Smith
http://arxiv.org/abs/2102.11537v1

• [math.PR]Robust Naive Learning in Social Networks
Gideon Amir, Itai Arieli, Galit Ashkenazi-Golan, Ron Peretz
http://arxiv.org/abs/2102.11768v1

• [math.ST]Factorization and discrete-time representation of multivariate CARMA processes
Vicky Fasen-Hartmann, Markus Scholz
http://arxiv.org/abs/2102.11681v1

• [math.ST]Product-form estimators: exploiting independence to scale up Monte Carlo
Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen
http://arxiv.org/abs/2102.11575v1

• [math.ST]Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests
Merle Behr, Yu Wang, Xiao Li, Bin Yu
http://arxiv.org/abs/2102.11800v1

• [physics.data-an]Progresses and Challenges in Link Prediction
Tao Zhou
http://arxiv.org/abs/2102.11472v1

• [physics.soc-ph]Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys
Júlia Koltai, Orsolya Vásárhelyi, Gergely Röst, Márton Karsai
http://arxiv.org/abs/2102.09021v2

• [q-bio.PE]Exact epidemic models from a tensor product formulation
Wout Merbis
http://arxiv.org/abs/2102.11708v1

• [q-bio.PE]On Sexual Selection
Larry Bull
http://arxiv.org/abs/2102.11667v1

• [quant-ph]Machine Learning Regression for Operator Dynamics
Justin Reyes, Sayandip Dhara, Eduardo R. Mucciolo
http://arxiv.org/abs/2102.11868v1

• [quant-ph]Ray-based framework for state identification in quantum dot devices
Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre, Samuel F. Neyens, E. R. MacQuarrie, Mark A. Eriksson, Jacob M. Taylor
http://arxiv.org/abs/2102.11784v1

• [stat.AP]A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations
Xuecheng Yin, I. Esra Buyuktahtakin
http://arxiv.org/abs/2102.11814v1

• [stat.AP]An Online Approach to Cyberattack Detection and Localization in Smart Grid
Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos
http://arxiv.org/abs/2102.11401v1

• [stat.AP]Positive results from UK single gene testing for SARS-COV-2 may be inconclusive, negative or detecting past infections
Martin Neil
http://arxiv.org/abs/2102.11612v1

• [stat.CO]intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset
Francesco Denti
http://arxiv.org/abs/2102.11425v1

• [stat.ME]A Bayesian Spatial Modeling Approach to Mortality Forecasting
Zhen Liu, Xiaoqian Sun, Yu-Bo Wang
http://arxiv.org/abs/2102.11501v1

• [stat.ME]A robust multivariate linear non-parametric maximum likelihood model for ties
Landon Hurley
http://arxiv.org/abs/2102.11445v1

• [stat.ME]An Aligned Rank Transform Procedure for Multifactor Contrast Tests
Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock
http://arxiv.org/abs/2102.11824v1

• [stat.ME]Bayesian Non-parametric Quantile Process Regression and Estimation of Marginal Quantile Effects
Steven G. Xu, Brian J. Reich
http://arxiv.org/abs/2102.11309v1

• [stat.ME]Estimating Sibling Spillover Effects with Unobserved Confounding Using Gain-Scores
David C. Mallinson, Felix Elwert
http://arxiv.org/abs/2102.11150v2

• [stat.ME]Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix
Chihiro Watanabe, Taiji Suzuki
http://arxiv.org/abs/2102.11658v1

• [stat.ME]Identifying Gene-environment interactions with robust marginal Bayesian variable selection
Xi Lu, Kun Fan, Jie Ren, Cen Wu
http://arxiv.org/abs/2102.11772v1

• [stat.ME]Left-censored recurrent event analysis in epidemiological studies: a proposal when the number of previous episodes is unknown
Gilma Hernández-Herrera, David Moriña, Albert Navarro
http://arxiv.org/abs/2102.11279v1

• [stat.ME]Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach
Quentin Clairon, Chloé Pasin, Irene Balelli, Rodolphe Thiébaut, Mélanie Prague
http://arxiv.org/abs/2102.11543v1

• [stat.ME]Permutation-based true discovery guarantee by sum tests
Anna Vesely, Livio Finos, Jelle J. Goeman
http://arxiv.org/abs/2102.11759v1

• [stat.ME]Sharp Inference on Selected Subgroups in Observational Studies
Xinzhou Guo, Linqing Wei, Chong Wu, Jingshen Wang
http://arxiv.org/abs/2102.11338v1

• [stat.ML]Causal Mediation Analysis with Hidden Confounders
Lu Cheng, Ruocheng Guo, Huan Liu
http://arxiv.org/abs/2102.11724v1

• [stat.ML]Model-Based Domain Generalization
Alexander Robey, George J. Pappas, Hamed Hassani
http://arxiv.org/abs/2102.11436v1

• [stat.ML]Solving high-dimensional parabolic PDEs using the tensor train format
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
http://arxiv.org/abs/2102.11830v1cond-mat.dis-nn - 无序系统与神经网络

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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、统计和概率 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习