astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.CC - 计算复杂度 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.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 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 gr-qc - 广义相对论与量子宇宙学 math.FA - 泛函演算 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.geo-ph - 地球物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 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

    • [astro-ph.IM]Nested sampling with any prior you like
    • [cs.AI]AGENT: A Benchmark for Core Psychological Reasoning
    • [cs.AI]AutoPreview: A Framework for Autopilot Behavior Understanding
    • [cs.AI]Benchmarking and Survey of Explanation Methods for Black Box Models
    • [cs.AI]Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
    • [cs.AI]The Logical Options Framework
    • [cs.CC]A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy
    • [cs.CL]A Large-Scale, Automated Study of Language Surrounding Artificial Intelligence
    • [cs.CL]A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
    • [cs.CL]Are pre-trained text representations useful for
    1000
    multilingual and multi-dimensional language proficiency modeling?
    • [cs.CL]Automatic Story Generation: Challenges and Attempts
    • [cs.CL]Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations
    • [cs.CL]Factorization of Fact-Checks for Low Resource Indian Languages
    • [cs.CL]Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
    • [cs.CL]IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
    • [cs.CL]Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
    • [cs.CL]LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
    • [cs.CL]LazyFormer: Self Attention with Lazy Update
    • [cs.CL]MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition
    • [cs.CL]QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
    • [cs.CL]References in Wikipedia: The Editors’ Perspective
    • [cs.CL]Retrieval Augmentation to Improve Robustness and Interpretability of Deep Neural Networks
    • [cs.CL]Sentiment Analysis of Persian-English Code-mixed Texts
    • [cs.CL]Spanish Biomedical and Clinical Language Embeddings
    • [cs.CL]ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
    • [cs.CR]Blockchained Federated Learning for Threat Defense
    • [cs.CV]A deep perceptual metric for 3D point clouds
    • [cs.CV]AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
    • [cs.CV]Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach
    • [cs.CV]Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
    • [cs.CV]CausalX: Causal Explanations and Block Multilinear Factor Analysis
    • [cs.CV]CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
    • [cs.CV]Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition
    • [cs.CV]Domain Adaptation for Learning Generator from Paired Few-Shot Data
    • [cs.CV]FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
    • [cs.CV]How to represent part-whole hierarchies in a neural network
    • [cs.CV]IBRNet: Learning Multi-View Image-Based Rendering
    • [cs.CV]Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
    • [cs.CV]Learning for Unconstrained Space-Time Video Super-Resolution
    • [cs.CV]Localization Distillation for Object Detection
    • [cs.CV]Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
    • [cs.CV]Railway Anomaly detection model using synthetic defect images generated by CycleGAN
    • [cs.CV]Robust SleepNets
    • [cs.CV]SCD: A Stacked Carton Dataset for Detection and Segmentation
    • [cs.CV]Scene Retrieval for Contextual Visual Mapping
    • [cs.CV]Simple multi-dataset detection
    • [cs.CV]Unsupervised semantic discovery through visual patterns detection
    • [cs.CY]Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTube
    • [cs.CY]Cognitive network science for understanding online social cognitions: A brief review
    • [cs.DC]A Thin Self-Stabilizing Asynchronous Unison Algorithm with Applications to Fault Tolerant Biological Networks
    • [cs.DC]BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms
    • [cs.DC]Checkpointing and Localized Recovery for Nested Fork-Join Programs
    • [cs.DC]Cloud Broker: A Systematic Mapping Study
    • [cs.DC]Fragmented Objects: Boosting Concurrency of SharedLarge Objects
    • [cs.DC]Migration of CMSWEB Cluster at CERN to Kubernetes
    • [cs.DC]Optimized Memoryless Fair-Share HPC Resources Scheduling using Transparent Checkpoint-Restart Preemption
    • [cs.DC]Revisiting Optimal Resilience of Fast Byzantine Consensus
    • [cs.DC]Sequential Learning-based IaaS Composition
    • [cs.DC]The PetscSF Scalable Communication Layer
    • [cs.DC]libtxsize — a library for automated Bitcoin transaction-size estimates
    • [cs.DS]Approximate Privacy-Preserving Neighbourhood Estimations
    • [cs.HC]Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
    • [cs.IR]Deep NMF Topic Modeling
    • [cs.IR]Learning to Truncate Ranked Lists for Information Retrieval
    • [cs.IR]Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
    • [cs.IT]A Layered Grouping Random Access Scheme Based on Dynamic Preamble Selection for Massive Machine Type Communications
    • [cs.IT]Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions
    • [cs.IT]Download Cost of Private Updating
    • [cs.IT]Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel
    • [cs.IT]New Singly and Doubly Even Binary [72,36,12] Self-Dual Codes from 今日学术视野(2021.2.27) - 图1G#card=math&code=M_2%28R%29G) — Group Matrix Rings
    • [cs.IT]New identities for the Shannon function and applications
    • [cs.IT]On the Weight Spectrum of Pre-Transformed Polar Codes
    • [cs.IT]Protograph-Based Design for QC Polar Codes
    • [cs.IT]The Role of Correlation in the Doubly Dirty Fading MAC with Side Information at the Transmitters
    • [cs.LG]A microservice-based framework for exploring data selection in cross-building knowledge transfer
    • [cs.LG]Batched Neural Bandits
    • [cs.LG]Benchmarking Graph Neural Networks on Link Prediction
    • [cs.LG]Bias-reduced multi-step hindsight experience replay
    • [cs.LG]Combinatorial Bandits under Strategic Manipulations
    • [cs.LG]Confidence Calibration with Bounded Error Using Transformations
    • [cs.LG]Constructing Evacuation Evolution Patterns and Decisions Using Mobile Device Location Data: A Case Study of Hurricane Irma
    • [cs.LG]Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
    • [cs.LG]Deep Stochastic Volatility Model
    • [cs.LG]Diffusion Earth Mover’s Distance and Distribution Embeddings
    • [cs.LG]Directional Bias Amplification
    • [cs.LG]Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer’s Disease
    • [cs.LG]Distributed Online Learning with Multiple Kernels
    • [cs.LG]Distributionally Robust Federated Averaging
    • [cs.LG]Do Input Gradients Highlight Discriminative Features?
    • [cs.LG]Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
    • [cs.LG]Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
    • [cs.LG]Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
    • [cs.LG]FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information
    • [cs.LG]Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
    • [cs.LG]Federated Multi-armed Bandits with Personalization
    • [cs.LG]Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations
    • [cs.LG]Generalized Adversarial Distances to Efficiently Discover Classifier Errors
    • [cs.LG]Hyperparameter Transfer Learning with Adaptive Complexity
    • [cs.LG]Improved Regret Bound and Experience Replay in Regularized Policy Iteration
    • [cs.LG]Improving Approximate Optimal Transport Distances using Quantization
    • [cs.LG]Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
    • [cs.LG]Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
    • [cs.LG]Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
    • [cs.LG]Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
    • [cs.LG]Memory-based Deep Reinforcement Learning for POMDP
    • [cs.LG]Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
    • [cs.LG]No-Regret Reinforcement Learning with Heavy-Tailed Rewards
    • [cs.LG]On Interpretability and Similarity in Concept-Based Machine Learning
    • [cs.LG]On The Effect of Auxiliary Tasks on Representation Dynamics
    • [cs.LG]Online Learning for Unknown Partially Observable MDPs
    • [cs.LG]Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with 今日学术视野(2021.2.27) - 图2 Regret
    • [cs.LG]Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting
    • [cs.LG]Persistent Homology and Graphs Representation Learning
    • [cs.LG]Preserved central model for faster bidirectional compression in distributed settings
    • [cs.LG]Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
    • [cs.LG]PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
    • [cs.LG]SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs
    • [cs.LG]Self-Tuning for Data-Efficient Deep Learning
    • [cs.LG]Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
    • [cs.LG]Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
    • [cs.LG]Spanning Tree Constrained Determinantal Point Processes are Hard to (Approximately) Evaluate
    • [cs.LG]SparseBERT: Rethinking the Importance Analysis in Self-attention
    • [cs.LG]Statistical Testing for Efficient Out of Distribution Detection in Deep Neural Networks
    • [cs.LG]TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
    • [cs.LG]Task-Agnostic Morphology Evolution
    • [cs.LG]Towards Robust Graph Contrastive Learning
    • [cs.LG]Towards Safe Continuing Task Reinforcement Learning
    • [cs.LG]Towards Unbiased and Accurate Deferral to Multiple Experts
    • [cs.LG]Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
    • [cs.LG]Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
    • [cs.LG]Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
    • [cs.LG]Visualizing MuZero Models
    • [cs.LG]t-SNE, Forceful Colorings and Mean Field Limits
    • [cs.NE]A New Neuromorphic Computing Approach for Epileptic Seizure Prediction
    • [cs.NE]Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment
    • [cs.NE]Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
    • [cs.PF]Performance Comparison for Scientific Computations on the Edge via Relative Performance
    • [cs.RO]今日学术视野(2021.2.27) - 图3#card=math&code=SE_2%283%29) based Extended Kalman Filter for Inertial-Integrated Navigation
    • [cs.RO]A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
    • [cs.RO]Active Modular Environment for Robot Navigation
    • [cs.RO]Adapting legacy robotic machinery to industry 4: a ciot experiment version 1
    • [cs.RO]CPG-ACTOR: Reinforcement Learning for Central Pattern Generators
    • [cs.RO]Defining Preferred and Natural Robot Motions in Immersive Telepresence from a First-Person Perspective
    • [cs.RO]Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling
    • [cs.RO]Ensuring Progress for Multiple Mobile Robots via Space Partitioning, Motion Rules, and Adaptively Centralized Conflict Resolution
    • [cs.RO]FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow
    • [cs.RO]Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach
    • [cs.RO]LES: Locally Exploitative Sampling for Robot Path Planning
    • [cs.RO]Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain
    • [cs.RO]Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping
    • [cs.RO]Real-Time Ellipse Detection for Robotics Applications
    • [cs.RO]Software Engineering for Robotic Systems:a systematic mapping study
    • [cs.RO]Strapdown Inertial Navigation System Initial Alignment based on Group of Double Direct Spatial Isometries
    • [cs.RO]Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
    • [cs.RO]The Catenary Robot: Design and Control of a Cable Propelled by Two Quadrotors
    • [cs.RO]Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time
    • [cs.RO]Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
    • [cs.SD]MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
    • [cs.SD]Triplet loss based embeddings for forensic speaker identification in Spanish
    • [cs.SI]Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
    • [cs.SI]Investigating Moral Foundations from Web Trending Topics
    • [cs.SI]Random Graphs with Prescribed 今日学术视野(2021.2.27) - 图4-Core Sequences: A New Null Model for Network Analysis
    • [eess.AS]Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings
    • [eess.IV]Binary segmentation of medical images using implicit spline representations and deep learning
    • [eess.IV]Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing
    • [eess.IV]On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
    • [eess.IV]Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations
    • [eess.IV]ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning
    • [eess.SP]ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity
    • [eess.SY]Maximum Likelihood Constraint Inference from Stochastic Demonstrations
    • [gr-qc]Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements
    • [math.FA]Quantitative approximation results for complex-valued neural networks
    • [math.NA]ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems
    • [math.OC]Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders
    • [math.PR]Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
    • [math.ST]Adaptive Robust Large Volatility Matrix Estimation Based on High-Frequency Financial Data
    • [math.ST]Autocovariance Estimation in the Presence of Changepoints
    • [math.ST]Distribution-Free Robust Linear Regression
    • [math.ST]Efficient computational algorithms for approximate optimal designs
    • [math.ST]On shrinkage estimation of a spherically symmetric distribution for balanced loss functions
    • [math.ST]On the consistency of the Kozachenko-Leonenko entropy estimate
    • [physics.app-ph]Metal-Oxide Sensor Array for Selective Gas Detection in Mixtures
    • [physics.geo-ph]An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets
    • [physics.med-ph]Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning
    • [physics.soc-ph]Optimising the mitigation of epidemic spreading through targeted adoption of contact tracing apps
    • [quant-ph]Entanglement Diagnostics for Efficient Quantum Computation
    • [quant-ph]Symmetric distinguishability as a quantum resource
    • [quant-ph]Toward Instance-Optimal State Certification With Incoherent Measurements
    • [stat.AP]Optimized Diffusion Imaging for Brain Structural Connectome Analysis
    • [stat.CO]A Hybrid Approximation to the Marginal Likelihood
    • [stat.ME]Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples
    • [stat.ME]Generalised Boosted Forests
    • [stat.ME]Improving the Hosmer-Lemeshow Goodness-of-Fit Test in Large Models with Replicated Trials
    • [stat.ME]On Posterior consistency of Bayesian Changepoint models
    • [stat.ME]Random Forest based Qantile Oriented Sensitivity Analysis indices estimation
    • [stat.ML]A Local Method for Identifying Causal Relations under Markov Equivalence
    • [stat.ML]A statistical theory of out-of-distribution detection
    • [stat.ML]Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
    • [stat.ML]On continual single index learning
    • [stat.ML]Provable Compressed Sensing with Generative Priors via Langevin Dynamics
    • [stat.ML]Quantization Algorithms for Random Fourier Features
    • [stat.ML]Set-valued classification — overview via a unified framework
    • [stat.ML]Stein Variational Gradient Descent: many-particle and long-time asymptotics
    • [stat.ML]Stochastic Aggregation in Graph Neural Networks
    • [stat.ML]Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff

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

    • [astro-ph.IM]Nested sampling with any prior you like
    Justin Alsing, Will Handley
    http://arxiv.org/abs/2102.12478v1

    • [cs.AI]AGENT: A Benchmark for Core Psychological Reasoning
    Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
    http://arxiv.org/abs/2102.12321v2

    • [cs.AI]AutoPreview: A Framework for Autopilot Behavior Understanding
    Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
    http://arxiv.org/abs/2102.13034v1

    • [cs.AI]Benchmarking and Survey of Explanation Methods for Black Box Models
    Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
    http://arxiv.org/abs/2102.13076v1

    • [cs.AI]Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
    Nicholas Watters, Joshua Tenenbaum, Mehrdad Jazayeri
    http://arxiv.org/abs/2102.12616v1

    • [cs.AI]The Logical Options Framework
    Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan DeCastro, Micah J. Fry, Daniela Rus
    http://arxiv.org/abs/2102.12571v1

    • [cs.CC]A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy
    Omar Cheikhrouhou, Ines Khoufi
    http://arxiv.org/abs/2102.12772v1

    • [cs.CL]A Large-Scale, Automated Study of Language Surrounding Artificial Intelligence
    Autumn Toney
    http://arxiv.org/abs/2102.12516v1

    • [cs.CL]A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
    Nils Rethmeier, Isabelle Augenstein
    http://arxiv.org/abs/2102.12982v1

    • [cs.CL]Are pre-trained text representations useful for
    1000
    multilingual and multi-dimensional language proficiency modeling?
    Taraka Rama, Sowmya Vajjala
    http://arxiv.org/abs/2102.12971v1

    • [cs.CL]Automatic Story Generation: Challenges and Attempts
    Amal Alabdulkarim, Siyan Li, Xiangyu Peng
    http://arxiv.org/abs/2102.12634v1

    • [cs.CL]Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations
    Jan Hofmann, Enrica Troiano, Roman Klinger
    http://arxiv.org/abs/2102.12858v1

    • [cs.CL]Factorization of Fact-Checks for Low Resource Indian Languages
    Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2102.1127
    f9b
    6v1
    f9b
    6v1)

    • [cs.CL]Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
    Ishan Sanjeev Upadhyay, Nikhil E, Anshul Wadhawan, Radhika Mamidi
    http://arxiv.org/abs/2102.12082v2

    • [cs.CL]IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
    Yuqiang Xie, Luxi Xing, Wei Peng, Yue Hu
    http://arxiv.org/abs/2102.12777v1

    • [cs.CL]Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
    Rodrigo Nogueira, Zhiying Jiang, Jimmy Li
    http://arxiv.org/abs/2102.13019v1

    • [cs.CL]LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
    Boer Lyu, Lu Chen, Su Zhu, Kai Yu
    http://arxiv.org/abs/2102.12671v1

    • [cs.CL]LazyFormer: Self Attention with Lazy Update
    Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu
    http://arxiv.org/abs/2102.12702v1

    • [cs.CL]MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition
    Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
    http://arxiv.org/abs/2102.12664v1

    • [cs.CL]QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
    Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke
    http://arxiv.org/abs/2102.12846v1

    • [cs.CL]References in Wikipedia: The Editors’ Perspective
    Lucie-Aimée Kaffee, Hady Elsahar
    http://arxiv.org/abs/2102.12511v1

    • [cs.CL]Retrieval Augmentation to Improve Robustness and Interpretability of Deep Neural Networks
    Rita Parada Ramos, Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho, Bruno Martins
    http://arxiv.org/abs/2102.13030v1

    • [cs.CL]Sentiment Analysis of Persian-English Code-mixed Texts
    Nazanin Sabri, Ali Edalat, Behnam Bahrak
    http://arxiv.org/abs/2102.12700v1

    • [cs.CL]Spanish Biomedical and Clinical Language Embeddings
    Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Casimiro Pio Carrino, Ona De Gibert, Aitor Gonzalez-Agirre, Marta Villegas
    http://arxiv.org/abs/2102.12843v1

    • [cs.CL]ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
    Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen
    http://arxiv.org/abs/2102.12828v1

    • [cs.CR]Blockchained Federated Learning for Threat Defense
    Konstantinos Demertzis
    http://arxiv.org/abs/2102.12746v1

    • [cs.CV]A deep perceptual metric for 3D point clouds
    Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frederic Dufaux
    http://arxiv.org/abs/2102.12839v1

    • [cs.CV]AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
    Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen
    http://arxiv.org/abs/2102.12593v1

    • [cs.CV]Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach
    Masuda Akter Tonima, F M Anim Hossain, Austin DeHart, Youmin Zhang
    http://arxiv.org/abs/2102.12544v1

    • [cs.CV]Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
    Markus D. Solbach, John K. Tsotsos
    http://arxiv.org/abs/2102.12911v1

    • [cs.CV]CausalX: Causal Explanations and Block Multilinear Factor Analysis
    M. Alex O. Vasilescu, Eric Kim, Xiao S. Zeng
    http://arxiv.org/abs/2102.12853v1

    • [cs.CV]CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
    Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao
    http://arxiv.org/abs/2102.12642v1

    • [cs.CV]Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition
    Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gurkan Ozturk
    http://arxiv.org/abs/2102.12570v1

    • [cs.CV]Domain Adaptation for Learning Generator from Paired Few-Shot Data
    Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu
    http://arxiv.org/abs/2102.12765v1

    • [cs.CV]FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
    Yuhang Zang, Chen Huang, Chen Change Loy
    http://arxiv.org/abs/2102.12867v1

    • [cs.CV]How to represent part-whole hierarchies in a neural network
    Geoffrey Hinton
    http://arxiv.org/abs/2102.12627v1

    • [cs.CV]IBRNet: Learning Multi-View Image-Based Rendering
    Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser
    http://arxiv.org/abs/2102.13090v1

    • [cs.CV]Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
    Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Tetsuya Matsuda
    http://arxiv.org/abs/2102.12505v1

    • [cs.CV]Learning for Unconstrained Space-Time Video Super-Resolution
    Zhihao Shi, Chengqi Li, Linhui Dai, Xiaohong Liu, Jun Chen, Timothy N. Davidson
    http://arxiv.org/abs/2102.13011v1

    • [cs.CV]Localization Distillation for Object Detection
    Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo
    http://arxiv.org/abs/2102.12252v2

    • [cs.CV]Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
    Inseop Chung, Daesik Kim, Nojun Kwak
    http://arxiv.org/abs/2102.13002v1

    • [cs.CV]Railway Anomaly detection model using synthetic defect images generated by CycleGAN
    Takuro Hoshi, Yohei Baba, Gaurang Gavai
    http://arxiv.org/abs/2102.12595v1

    • [cs.CV]Robust SleepNets
    Yigit Alparslan, Edward Kim
    http://arxiv.org/abs/2102.12555v1

    • [cs.CV]SCD: A Stacked Carton Dataset for Detection and Segmentation
    Jinrong Yang, Shengkai Wu, Lijun Gou, Hangcheng Yu, Chenxi Lin, Jiazhuo Wang, Minxuan Li, Xiaoping Li
    http://arxiv.org/abs/2102.12808v1

    • [cs.CV]Scene Retrieval for Contextual Visual Mapping
    William H. B. Smith, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan
    http://arxiv.org/abs/2102.12728v1

    • [cs.CV]Simple multi-dataset detection
    Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
    http://arxiv.org/abs/2102.13086v1

    • [cs.CV]Unsupervised semantic discovery through visual patterns detection
    Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
    http://arxiv.org/abs/
    1000
    2102.12213v1
    1000
    2102.12213v1)

    • [cs.CY]Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTube
    Robin Mamié, Manoel Horta Ribeiro, Robert West
    http://arxiv.org/abs/2102.12837v1

    • [cs.CY]Cognitive network science for understanding online social cognitions: A brief review
    Massimo Stella
    http://arxiv.org/abs/2102.12799v1

    • [cs.DC]A Thin Self-Stabilizing Asynchronous Unison Algorithm with Applications to Fault Tolerant Biological Networks
    Yuval Emek, Eyal Keren
    http://arxiv.org/abs/2102.12787v1

    • [cs.DC]BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms
    Martin Grambow, Tobias Pfandzelter, Luk Burchard, Carsten Schubert, Max Zhao, David Bermbach
    http://arxiv.org/abs/2102.12770v1

    • [cs.DC]Checkpointing and Localized Recovery for Nested Fork-Join Programs
    Claudia Fohry
    http://arxiv.org/abs/2102.12941v1

    • [cs.DC]Cloud Broker: A Systematic Mapping Study
    Hoda Taheri, Faeze Ramezani, Neda Mohammadi, Parisa Khoshdel, Bahareh Taghavi, Neda Khorasani, Saeid Abrishami, Abbas Rasoolzadegan
    http://arxiv.org/abs/2102.12717v1

    • [cs.DC]Fragmented Objects: Boosting Concurrency of SharedLarge Objects
    Antonio Fernandez Anta, Chryssis Georgiou, Theophanis Hadjistasi, Nicolas Nicolaou, Efstathios Stavrakis, Andria Trigeorgi
    http://arxiv.org/abs/2102.12786v1

    • [cs.DC]Migration of CMSWEB Cluster at CERN to Kubernetes
    Muhammad Imran, Valentin Kuznetsov, Lina Marcella, Katarzyna Maria Dziedziniewicz-Wojcik, Andreas Pfeiffer, Panos Paparrigopoulos
    http://arxiv.org/abs/2102.12751v1

    • [cs.DC]Optimized Memoryless Fair-Share HPC Resources Scheduling using Transparent Checkpoint-Restart Preemption
    Kfir Zvi, Gal Oren
    http://arxiv.org/abs/2102.12953v1

    • [cs.DC]Revisiting Optimal Resilience of Fast Byzantine Consensus
    Petr Kuznetsov, Andrei Tonkikh, Yan X Zhang
    http://arxiv.org/abs/2102.12825v1

    • [cs.DC]Sequential Learning-based IaaS Composition
    Sajib Mistry, Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
    http://arxiv.org/abs/2102.12598v1

    • [cs.DC]The PetscSF Scalable Communication Layer
    Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew Knepley, Oana Marin, Richard Tran Mills, Todd Munson, Barry F. Smith, Stefano Zampini
    http://arxiv.org/abs/2102.13018v1

    • [cs.DC]libtxsize — a library for automated Bitcoin transaction-size estimates
    Johannes Hofmann
    http://arxiv.org/abs/2102.12796v1

    • [cs.DS]Approximate Privacy-Preserving Neighbourhood Estimations
    Alvaro Garcia-Recuero
    http://arxiv.org/abs/2102.12610v1

    • [cs.HC]Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
    Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak Patel, Alex Mariakakis, Tim Althoff
    http://arxiv.org/abs/2102.12523v1

    • [cs.IR]Deep NMF Topic Modeling
    JianYu Wang, Xiao-Lei Zhang
    http://arxiv.org/abs/2102.12998v1

    • [cs.IR]Learning to Truncate Ranked Lists for Information Retrieval
    Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
    http://arxiv.org/abs/2102.12793v1

    • [cs.IR]Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
    Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
    http://arxiv.org/abs/2102.12887v1

    • [cs.IT]A Layered Grouping Random Access Scheme Based on Dynamic Preamble Selection for Massive Machine Type Communications
    Gaofeng Cheng, Huan Chen, Pingzhi Fan, Li Li, Li Hao
    http://arxiv.org/abs/2102.12672v1

    • [cs.IT]Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions
    Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre
    http://arxiv.org/abs/2102.12859v1

    • [cs.IT]Download Cost of Private Updating
    Bryttany Herren, Ahmed Arafa, Karim Banawan
    http://arxiv.org/abs/2102.13094v1

    • [cs.IT]Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel
    Jingjing Li, Zhuo Sun, Lei Zhang, Hongyu Zhu
    http://arxiv.org/abs/2102.12918v1

    • [cs.IT]New Singly and Doubly Even Binary [72,36,12] Self-Dual Codes from 今日学术视野(2021.2.27) - 图5G#card=math&code=M2%28R%29G) — Group Matrix Rings**
    _Adrian Korban, Serap Sahinkaya, Deniz Ustun
    http://arxiv.org/abs/2102.12863v1

    • [cs.IT]New identities for the Shannon function and applications
    Aiden A Bruen
    http://arxiv.org/abs/2102.12692v1

    • [cs.IT]On the Weight Spectrum of Pre-Transformed Polar Codes
    Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
    http://arxiv.org/abs/2102.12625v1

    • [cs.IT]Protograph-Based Design for QC Polar Codes
    Toshiaki Koike-Akino, Ye Wang
    http://arxiv.org/abs/2102.12629v1

    • [cs.IT]The Role of Correlation in the Doubly Dirty Fading MAC with Side Information at the Transmitters
    Farshad Rostami Ghadi, Ghosheh Abed Hodtani, F. Javier Lopez-Martinez
    http://arxiv.org/abs/2102.12801v1

    • [cs.LG]A microservice-based framework for exploring data selection in cross-building knowledge transfer
    Mouna Labiadh, Christian Obrecht, Catarina Ferreira da Silva, Parisa Ghodous
    http://arxiv.org/abs/2102.12970v1

    • [cs.LG]Batched Neural Bandits
    Quanquan Gu, Amin Karbasi, Khashayar Khosravi, Vahab Mirrokni, Dongruo Zhou
    http://arxiv.org/abs/2102.13028v1

    • [cs.LG]Benchmarking Graph Neural Networks on Link Prediction
    Xing Wang, Alexander Vinel
    http://arxiv.org/abs/2102.12557v1

    • [cs.LG]Bias-reduced multi-step hindsight experience replay
    Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Ya, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
    http://arxiv.org/abs/2102.12962v1

    • [cs.LG]Combinatorial Bandits under Strategic Manipulations
    Jing Dong, Ke Li, Shuai Li, Baoxiang Wang
    http://arxiv.org/abs/2102.12722v1

    • [cs.LG]Confidence Calibration with Bounded Error Using Transformations
    Sooyong Jang, Radoslav Ivanov, Insup lee, James Weimer
    http://arxiv.org/abs/2102.12680v1

    • [cs.LG]Constructing Evacuation Evolution Patterns and Decisions Using Mobile Device Location Data: A Case Study of Hurricane Irma
    Aref Darzi, Vanessa Frias-Martinez, Sepehr Ghader, Hannah Younes, Lei Zhang
    http://arxiv.org/abs/2102.12600v1

    • [cs.LG]Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
    Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
    http://arxiv.org/abs/2102.12957v1

    • [cs.LG]Deep Stochastic Volatility Model
    Xiuqin Xu, Ying Chen
    http://arxiv.org/abs/2102.12658v1

    • [cs.LG]Diffusion Earth Mover’s Distance and Distribution Embeddings
    Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, Smita Krishnaswamy
    http://arxiv.org/abs/2102.12833v1

    • [cs.LG]Directional Bias Amplification
    Angelina Wang, Olga Russakovsky
    http://arxiv.org/abs/2102.12594v1

    • [cs.LG]Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer’s Disease
    Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Guray Erus, Ahmed Abdulkadir, Susan M. Resnick, David Wolk, Christos Davatzikos
    http://arxiv.org/abs/2102.12582v1

    • [cs.LG]Distributed Online Learning with Multiple Kernels
    Jeongmin Chae, Songnam Hong
    http://arxiv.org/abs/2102.12733v1

    • [cs.LG]Distributionally Robust Federated Averaging
    Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
    http://arxiv.org/abs/2102.12660v1

    • [cs.LG]Do Input Gradients Highlight Discriminative Features?
    Harshay Shah, Prateek Jain, Praneeth Netrapalli
    http://arxiv.org/abs/2102.12781v1

    • [cs.LG]Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
    Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu
    http://arxiv.org/abs/2102.12677v1

    • [cs.LG]Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
    Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid
    http://arxiv.org/abs/2102.12920v1

    • [cs.LG]Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
    Kenneth Borup, Lars N. Andersen
    http://arxiv.org/abs/2102.13088v1

    • [cs.LG]FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information
    Andrew Lowy, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, Ahmad Beirami
    http://arxiv.org/abs/2102.12586v1

    • [cs.LG]Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
    Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
    http://arxiv.org/abs/2102.12827v1

    • [cs.LG]Federated Multi-armed Bandits with Personalization
    Chengshuai Shi, Cong Shen, Jing Yang
    http://arxiv.org/abs/2102.13101v1

    • [cs.LG]Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations
    Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
    http://arxiv.org/abs/2102.13008v1

    • [cs.LG]Generalized Adversarial Distances to Efficiently Discover Classifier Errors
    Walter Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov
    http://arxiv.org/abs/2102.12844v1

    • [cs.LG]Hyperparameter Transfer Learning with Adaptive Complexity
    Samuel Horváth, Aaron Klein, Peter Richtárik, Cédric Archambeau
    http://arxiv.org/abs/2102.12810v1

    • [cs.LG]Improved Regret Bound and Experience Replay in Regularized Policy Iteration
    Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari
    http://arxiv.org/abs/2102.12611v1

    • [cs.LG]Improving Approximate Optimal Transport Distances using Quantization
    Gaspard Beugnot, Aude Genevay, Kristjan Greenewald, Justin Solomon
    http://arxiv.org/abs/2102.12731v1

    • [cs.LG]Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
    Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
    http://arxiv.org/abs/2102.13045v1

    • [cs.LG]Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
    Sheng Li, Yutai Zhou, Ross Allen, Mykel J. Kochenderfer
    http://arxiv.org/abs/2102.12550v1

    • [cs.LG]Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
    Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson
    http://arxiv.org/abs/2102.13042v1

    • [cs.LG]Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
    Keefe Huang, Moritz Krügener, Alistair Brown, Friedrich Menhorn, Hans-Joachim Bungartz, Dirk Hartmann
    http://arxiv.org/abs/2102.12923v1

    • [cs.LG]Memory-based Deep Reinforcement Learning for POMDP
    Lingheng Meng, Rob Gorbet, Dana Kulić
    http://arxiv.org/abs/2102.12344v2

    • [cs.LG]Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
    Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan
    http://arxiv.org/abs/2102.12855v1

    • [cs.LG]No-Regret Reinforcement Learning with Heavy-Tailed Rewards
    Vincent Zhuang, Yanan Sui
    http://arxiv.org/abs/2102.12769v1

    • [cs.LG]On Interpretability and Similarity in Concept-Based Machine Learning
    Léonard Kwuida, Dmitry I. Ignatov
    http://arxiv.org/abs/2102.12723v1

    • [cs.LG]On The Effect of Auxiliary Tasks on Representation Dynamics
    Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney
    http://arxiv.org/abs/2102.13089v1

    • [cs.LG]Online Learning for Unknown Partially Observable MDPs
    Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar
    http://arxiv.org/abs/2102.12661v1

    • [cs.LG]Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with 今日学术视野(2021.2.27) - 图6 Regret
    Asaf Cassel, Tomer Koren
    http://arxiv.org/abs/2102.12608v1

    • [cs.LG]Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting
    Fatoumata Dama, Christine Sinoquet
    http://arxiv.org/abs/2102.12584v1

    • [cs.LG]Persistent Homology and Graphs Representation Learning
    Mustafa Hajij, Ghaza Zamzmi, Xuanting Cai
    http://arxiv.org/abs/2102.12926v1

    • [cs.LG]Preserved central model for faster bidirectional compression in distributed settings
    Constantin Philippenko, Aymeric Dieuleveut
    http://arxiv.org/abs/2102.12528v1

    • [cs.LG]Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
    Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao
    http://arxiv.org/abs/2102.12948v1

    • [cs.LG]PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
    Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
    http://arxiv.org/abs/2102.12560v1

    • [cs.LG]SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs
    Amuthan A. Ramabathiran, Prabhu Ramachandran
    http://arxiv.org/abs/2102.13037v1

    • [cs.LG]Self-Tuning for Data-Efficient Deep Learning
    Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long
    http://arxiv.org/abs/2102.12903v1

    • [cs.LG]Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
    Xing Han, Sambarta Dasgupta, Joydeep Ghosh
    http://arxiv.org/abs/2102.12612v1

    • [cs.LG]Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
    Apoorva Sharma, Navid Azizan, Marco Pavone
    http://arxiv.org/abs/2102.12567v1

    • [cs.LG]Spanning Tree Constrained Determinantal Point Processes are Hard to (Approximately) Evaluate
    Tatsuya Matsuoka, Naoto Ohsaka
    http://arxiv.org/abs/2102.12646v1

    • [cs.LG]SparseBERT: Rethinking the Importance Analysis in Self-attention
    Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok
    http://arxiv.org/abs/2102.12871v1

    • [cs.LG]Statistical Testing for Efficient Out of Distribution Detection in Deep Neural Networks
    Matan Haroush, Tzivel Frostig, Ruth Heller, Daniel Soudry
    http://arxiv.org/abs/2102.12967v1

    • [cs.LG]TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
    Dominik Scheinert, Alexander Acker
    http://arxiv.org/abs/2102.12877v1

    • [cs.LG]Task-Agnostic Morphology Evolution
    Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto
    http://arxiv.org/abs/2102.13100v1

    • [cs.LG]Towards Robust Graph Contrastive Learning
    Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer
    http://arxiv.org/abs/2102.13085v1

    • [cs.LG]Towards Safe Continuing Task Reinforcement Learning
    Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
    http://arxiv.org/abs/2102.12585v1

    • [cs.LG]Towards Unbiased and Accurate Deferral to Multiple Experts
    Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
    http://arxiv.org/abs/2102.13004v1

    • [cs.LG]Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
    Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou, Elias Tsigaridas
    http://arxiv.org/abs/2102.13068v1

    • [cs.LG]Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
    Romain Couillet, Florent Chatelain, Nicolas Le Bihan
    http://arxiv.org/abs/2102.12293v2

    • [cs.LG]Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
    Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
    http://arxiv.org/abs/2102.12679v1

    • [cs.LG]Visualizing MuZero Models
    Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat
    http://arxiv.org/abs/2102.12924v1

    • [cs.LG]t-SNE, Forceful Colorings and Mean Field Limits
    Yulan Zhang, Stefan Steinerberger
    http://arxiv.org/abs/2102.13009v1

    • [cs.NE]A New Neuromorphic Computing Approach for Epileptic Seizure Prediction
    Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan
    http://arxiv.org/abs/2102.12773v1

    • [cs.NE]Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment
    Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar
    http://arxiv.org/abs/2102.12638v1

    • [cs.NE]Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
    Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
    http://arxiv.org/abs/2102.12905v1

    • [cs.PF]Performance Comparison for Scientific Computations on the Edge via Relative Performance
    Aravind Sankaran, Paolo Bientinesi
    http://arxiv.org/abs/2102.12740v1

    • [cs.RO]今日学术视野(2021.2.27) - 图7#card=math&code=SE_2%283%29) based Extended Kalman Filter for Inertial-Integrated Navigation
    Yarong Luo, Chi Guo, Shenyong You, Jianlang Hu, Jingnan Liu
    http://arxiv.org/abs/2102.12897v1

    • [cs.RO]A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
    Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
    http://arxiv.org/abs/2102.12718v1

    • [cs.RO]Active Modular Environment for Robot Navigation
    Shota Kameyama, Keisuke Okumura, Yasumasa Tamura, Xavier Défago
    http://arxiv.org/abs/2102.12748v1

    • [cs.RO]Adapting legacy robotic machinery to industry 4: a ciot experiment version 1
    Hadi Alasti
    http://arxiv.org/abs/2102.12649v1

    • [cs.RO]CPG-ACTOR: Reinforcement Learning for Central Pattern Generators
    Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis
    http://arxiv.org/abs/2102.12891v1

    • [cs.RO]Defining Preferred and Natural Robot Motions in Immersive Telepresence from a First-Person Perspective
    Katherine J. Mimnaugh, Markku Suomalainen, Israel Becerra, Eliezer Lozano, Rafael Murrieta-Cid, Steven M. LaValle
    http://arxiv.org/abs/2102.12719v1

    • [cs.RO]Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling
    Yingbai Hu, Jian Li, Yongquan Chen, Qiwen Wang, Chuliang Chi, Heng Zhang, Qing Gao, Yuanmin Lan, Zheng Li, Zonggao Mu, Zhenglong Sun, Alois Knoll
    http://arxiv.org/abs/2102.12726v1

    • [cs.RO]Ensuring Progress for Multiple Mobile Robots via Space Partitioning, Motion Rules, and Adaptively Centralized Conflict Resolution
    Claire Liang, Wil Thomason, Elizabeth Ricci, Soham Sankaran
    http://arxiv.org/abs/2102.12684v1

    • [cs.RO]FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow
    Raoul Dinaux, Nikhil Wessendorp, Julien Dupeyroux, Guido de Croon
    http://arxiv.org/abs/2102.12823v1

    • [cs.RO]Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach
    Hiroyasu Tsukamoto, Soon-Jo Chung
    http://arxiv.org/abs/2102.12668v1

    • [cs.RO]LES: Locally Exploitative Sampling for Robot Path Planning
    Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras
    http://arxiv.org/abs/2102.13064v1

    • [cs.RO]Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain
    Xuesu Xiao, Joydeep Biswas, Peter Stone
    http://arxiv.org/abs/2102.12667v1

    • [cs.RO]Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping
    Ali Shafti, A. Aldo Faisal
    http://arxiv.org/abs/2102.12980v1

    • [cs.RO]Real-Time Ellipse Detection for Robotics Applications
    Azarakhsh Keipour, Guilherme A. S. Pereira, Sebastian Scherer
    http://arxiv.org/abs/2102.12670v1

    • [cs.RO]Software Engineering for Robotic Systems:a systematic mapping study
    Marcela G. dos Santos, Fabio Petrillo
    http://arxiv.org/abs/9b
    bs/2102.12520v1
    bs/2102.12520v1)

    • [cs.RO]Strapdown Inertial Navigation System Initial Alignment based on Group of Double Direct Spatial Isometries
    Lubin Chang, Fangjun Qin, Jiangning Xu
    http://arxiv.org/abs/2102.12697v1

    • [cs.RO]Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
    Gian Maria Marconi, Rafaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
    http://arxiv.org/abs/2102.12942v1

    • [cs.RO]The Catenary Robot: Design and Control of a Cable Propelled by Two Quadrotors
    Diego S. D’antonio, Gustavo A. Cardona, David Saldaña
    http://arxiv.org/abs/2102.12519v1

    • [cs.RO]Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time
    Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
    http://arxiv.org/abs/2102.12633v1

    • [cs.RO]Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
    Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora
    http://arxiv.org/abs/2102.13073v1

    • [cs.SD]MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
    Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo
    http://arxiv.org/abs/2102.12841v1

    • [cs.SD]Triplet loss based embeddings for forensic speaker identification in Spanish
    Emmanuel Maqueda, Javier Alvarez-Jimenez, Carlos Mena, Ivan Meza
    http://arxiv.org/abs/2102.12564v1

    • [cs.SI]Dynamic Social Media Monitoring for Fast-Evolving Online Discussions
    Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
    http://arxiv.org/abs/2102.12596v1

    • [cs.SI]Investigating Moral Foundations from Web Trending Topics
    Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
    http://arxiv.org/abs/2102.11928v2

    • [cs.SI]Random Graphs with Prescribed 今日学术视野(2021.2.27) - 图8-Core Sequences: A New Null Model for Network Analysis
    Katherine Van Koevering, Austin R. Benson, Jon Kleinberg
    http://arxiv.org/abs/2102.12604v1

    • [eess.AS]Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings
    Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal
    http://arxiv.org/abs/2102.12829v1

    • [eess.IV]Binary segmentation of medical images using implicit spline representations and deep learning
    Oliver J. D. Barrowclough, Georg Muntingh, Varatharajan Nainamalai, Ivar Stangeby
    http://arxiv.org/abs/2102.12759v1

    • [eess.IV]Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing
    Jinquan Guo, Rongda Fu, Lin Pan, Shaohua Zheng, Liqin Huang, Bin Zheng, Bingwei He
    http://arxiv.org/abs/2102.12755v1

    • [eess.IV]On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
    Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
    http://arxiv.org/abs/2102.13066v1

    • [eess.IV]Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations
    Jitesh Seth, Rohit Lokwani, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
    http://arxiv.org/abs/2102.12764v1

    • [eess.IV]ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning
    Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
    http://arxiv.org/abs/2102.12898v1

    • [eess.SP]ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity
    Edgar Beck, Carsten Bockelmann, Armin Dekorsy
    http://arxiv.org/abs/2102.12756v1

    • [eess.SY]Maximum Likelihood Constraint Inference from Stochastic Demonstrations
    David L. McPherson, Kaylene C. Stocking, S. Shankar Sastry
    http://arxiv.org/abs/2102.12554v1

    • [gr-qc]Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements
    Brendan Keith, Akshay Khadse, Scott E. Field
    http://arxiv.org/abs/2102.12695v1

    • [math.FA]Quantitative approximation results for complex-valued neural networks
    A. Caragea, D. G. Lee, J. Maly, G. Pfander, F. Voigtlaender
    http://arxiv.org/abs/2102.13092v1

    • [math.NA]ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems
    Xingjie Li, Fei Lu, Felix X. -F. Ye
    http://arxiv.org/abs/2102.12669v1

    • [math.OC]Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders
    Andrey A Popov, Adrian Sandu
    http://arxiv.org/abs/2102.13025v1

    • [math.PR]Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
    Emmanuel Abbe, Shuangping Li, Allan Sly
    http://arxiv.org/abs/2102.13069v1

    • [math.ST]Adaptive Robust Large Volatility Matrix Estimation Based on High-Frequency Financial Data
    Minseok Shin, Donggyu Kim, Jianqing Fan
    http://arxiv.org/abs/2102.12752v1

    • [math.ST]Autocovariance Estimation in the Presence of Changepoints
    Colin Gallagher, Rebecca Killick, Robert Lund, Xueheng Shi
    http://arxiv.org/abs/2102.10669v2

    • [math.ST]Distribution-Free Robust Linear Regression
    Jaouad Mourtada, Tomas Vaškevičius, Nikita Zhivotovskiy
    http://arxiv.org/abs/2102.12919v1

    • [math.ST]Efficient computational algorithms for approximate optimal designs
    Jiangtao Duan, Wei Gao, Yanyuan Ma, Hon Keung Tony Ng
    http://arxiv.org/abs/2102.12676v1

    • [math.ST]On shrinkage estimation of a spherically symmetric distribution for balanced loss functions
    Lahoucine Hobbad, Éric Marchand, Idir Ouassou
    http://arxiv.org/abs/2102.13083v1

    • [math.ST]On the consistency of the Kozachenko-Leonenko entropy estimate
    Luc Devroye, László Györfi
    http://arxiv.org/abs/2102.12952v1

    • [physics.app-ph]Metal-Oxide Sensor Array for Selective Gas Detection in Mixtures
    Noureddine Tayebi, Varvara Kollia, Pradyumna S. Singh
    http://arxiv.org/abs/2102.12990v1

    • [physics.geo-ph]An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets
    Claire Birnie, Haithem Jarraya, Fredrik Hansteen
    http://arxiv.org/abs/2102.13003v1

    • [physics.med-ph]Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning
    Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
    http://arxiv.org/abs/2102.12569v1

    • [physics.soc-ph]Optimising the mitigation of epidemic spreading through targeted adoption of contact tracing apps
    Aleix Bassolas, Andrea Santoro, Sandro Sousa, Silvia Rognone, Vincenzo Nicosia
    http://arxiv.org/abs/2102.13013v1

    • [quant-ph]Entanglement Diagnostics for Efficient Quantum Computation
    Joonho Kim, Yaron Oz
    http://arxiv.org/abs/2102.12534v1

    • [quant-ph]Symmetric distinguishability as a quantum resource
    Robert Salzmann, Nilanjana Datta, Gilad Gour, Xin Wang, Mark M. Wilde
    http://arxiv.org/abs/2102.12512v1

    • [quant-ph]Toward Instance-Optimal State Certification With Incoherent Measurements
    Sitan Chen, Jerry Li, Ryan O’Donnell
    http://arxiv.org/abs/2102.13098v1

    • [stat.AP]Optimized Diffusion Imaging for Brain Structural Connectome Analysis
    William Consagra, Arun Venkataraman, Zhengwu Zhang
    http://arxiv.org/abs/2102.12526v1

    • [stat.CO]A Hybrid Approximation to the Marginal Likelihood
    Eric Chuu, Debdeep Pati, Anirban Bhattacharya
    http://arxiv.org/abs/2102.12976v1

    • [stat.ME]Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples
    Hoshin V Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A Sans-Fuentes, Uwe Ehret, Ali Behrangi
    http://arxiv.org/abs/2102.12675v1

    • [stat.ME]Generalised Boosted Forests
    Indrayudh Ghosal, Giles Hooker
    http://arxiv.org/abs/2102.12561v1

    • [stat.ME]Improving the Hosmer-Lemeshow Goodness-of-Fit Test in Large Models with Replicated Trials
    Nikola Surjanovic, Thomas M. Loughin
    http://arxiv.org/abs/2102.12698v1

    • [stat.ME]On Posterior consistency of Bayesian Changepoint models
    Nilabja Guha, Jyotishka Datta
    http://arxiv.org/abs/2102.12938v1

    • [stat.ME]Random Forest based Qantile Oriented Sensitivity Analysis indices estimation
    Kevin Elie-Dit-Cosaque, Véronique Maume-Deschamps
    http://arxiv.org/abs/2102.12735v1

    • [stat.ML]A Local Method for Identifying Causal Relations under Markov Equivalence
    Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He
    http://arxiv.org/abs/2102.12685v1

    • [stat.ML]A statistical theory of out-of-distribution detection
    Xi Wang, Laurence Aitchison
    http://arxiv.org/abs/2102.12959v1

    • [stat.ML]Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
    Changyong Oh, Efstratios Gavves, Max Welling
    http://arxiv.org/abs/2102.12792v1

    • [stat.ML]On continual single index learning
    The Tien Mai
    http://arxiv.org/abs/2102.12961v1

    • [stat.ML]Provable Compressed Sensing with Generative Priors via Langevin Dynamics
    Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
    http://arxiv.org/abs/2102.12643v1

    • [stat.ML]Quantization Algorithms for Random Fourier Features
    Xiaoyun Li, Ping Li
    http://arxiv.org/abs/2102.13079v1

    • [stat.ML]Set-valued classification — overview via a unified framework
    Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul
    http://arxiv.org/abs/2
    23b5
    102.12318v1
    23b5
    102.12318v1)

    • [stat.ML]Stein Variational Gradient Descent: many-particle and long-time asymptotics
    Nikolas Nüsken, D. R. Michiel Renger
    http://arxiv.org/abs/2102.12956v1

    • [stat.ML]Stochastic Aggregation in Graph Neural Networks
    Yuanqing Wang, Theofanis Karaletsos
    http://arxiv.org/abs/2102.12648v1

    • [stat.ML]Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff
    Jose Blanchet, Fernando Hernandez, Viet Anh Nguyen, Markus Pelger, Xuhui Zhang
    http://arxiv.org/abs/2102.12736v1