cs.AI - 人工智能

    cs.AR - 硬件体系结构 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 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

    • [cs.AI]Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
    • [cs.AI]Morality, Machines and the Interpretation Problem: A value-based, Wittgensteinian approach to building Moral Agents
    • [cs.AI]The Dota 2 Bot Competition
    • [cs.AR]Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing
    • [cs.CL]A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
    • [cs.CL]A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
    • [cs.CL]Advances in Multi-turn Dialogue Comprehension: A Survey
    • [cs.CL]An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary
    • [cs.CL]An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
    • [cs.CL]An empirical analysis of phrase-based and neural machine translation
    • [cs.CL]Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain
    • [cs.CR]An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
    • [cs.CR]BLOCKEYE: Hunting For DeFi Attacks on Blockchain
    • [cs.CR]Decoding supercodes of Gabidulin codes and applications to cryptanalysis
    • [cs.CR]Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
    • [cs.CR]Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
    • [cs.CR]Malware Classification Using Long Short-Term Memory Models
    • [cs.CR]Malware Classification with GMM-HMM Models
    • [cs.CR]Malware Classification with Word Embedding Features
    • [cs.CR]On the privacy-utility trade-off in differentially private hierarchical text classification
    • [cs.CR]PointGuard: Provably Robust 3D Point Cloud Classification
    • [cs.CR]Quantifying identifiability to choose and audit 今日学术视野(2021.3.6) - 图1 in differentially private deep learning
    • [cs.CR]Requirement Analyses and Evaluations of Blockchain Platforms per Possible Use Cases
    • [cs.CR]Revisiting the Concrete Security of Goldreich’s Pseudorandom Generator
    • [cs.CV]今日学术视野(2021.3.6) - 图2: Learnable Sparse Signal Superdensity for Guided Depth Estimation
    • [cs.CV]A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image
    • [cs.CV]A Structural Causal Model for MR Images of Multiple Sclerosis
    • [cs.CV]A comprehensive survey on point cloud registration
    • [cs.CV]Anycost GANs for Interactive Image Synthesis and Editing
    • [cs.CV]Augmentation Strategies for Learning with Noisy Labels
    • [cs.CV]BM3D vs 2-Layer ONN
    • [cs.CV]Barlow Twins: Self-Supervised Learning via Redundancy Reduction
    • [cs.CV]Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
    • [cs.CV]CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
    • [cs.CV]Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
    • [cs.CV]Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
    • [cs.CV]Coordinate Attention for Efficient Mobile Network Design
    • [cs.CV]DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks
    • [cs.CV]Data Augmentation for Object Detection via Differentiable Neural Rendering
    • [cs.CV]Deep Clustering by Semantic Contrastive Learning
    • [cs.CV]DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
    • [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
    • [cs.CV]Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
    • [cs.CV]Efficient data-driven encoding of scene motion using Eccentricity
    • [cs.CV]Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
    • [cs.CV]Event-based Synthetic Aperture Imaging with a Hybrid Network
    • [cs.CV]Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
    • [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
    • [cs.CV]Learning Asynchronous and Sparse Human-Object Interaction in Videos
    • [cs.CV]Learning Granularity-Aware Convolutional Neural Network for Fine-Grained Visual Classification
    • [cs.CV]Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
    • [cs.CV]MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
    • [cs.CV]Mask DnGAN: Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
    • [cs.CV]Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects
    • [cs.CV]Modeling Multi-Label Action Dependencies for Temporal Action Localization
    • [cs.CV]Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
    • [cs.CV]Motion-blurred Video Interpolation and Extrapolation
    • [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    • [cs.CV]Optical Flow Estimation from a Single Motion-blurred Image
    • [cs.CV]PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
    • [cs.CV]Perceiver: General Perception with Iterative Attention
    • [cs.CV]Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
    • [cs.CV]Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression
    • [cs.CV]QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
    • [cs.CV]SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
    • [cs.CV]SVMax: A Feature Embedding Regularizer
    • [cs.CV]Self-Distribution Binary Neural Networks
    • [cs.CV]Self-supervised Geometric Perception
    • [cs.CV]Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
    • [cs.CV]SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
    • [cs.CV]Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
    • [cs.CV]Sub-pixel face landmarks using heatmaps and a bag of tricks
    • [cs.CV]TPCN: Temporal Point Cloud Networks for Motion Forecasting
    • [cs.CV]Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
    • [cs.CV]Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
    • [cs.CV]Visual Question Answering: which investigated applications?
    • [cs.CV]When Face Recognition Meets Occlusion: A New Benchmark
    • [cs.CY]MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper
    • [cs.CY]Remote Observation of Field Work on the Farm
    • [cs.DC]Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact
    • [cs.DC]Be Prepared When Network Goes Bad: An Asynchronous View-Change Protocol
    • [cs.DC]Blockchain Based Accounts Payable Platform for Goods Trade
    • [cs.DC]Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
    • [cs.DC]Serverless Model Serving for Data Science
    • [cs.DC]Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication
    • [cs.DC]The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems
    • [cs.DC]Wanted Dead or Alive : Epistemic logic for impure simplicial complexes
    • [cs.HC]Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform
    • [cs.IR]IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
    • [cs.IR]The effects of having lists of synonyms on the performance of Afaan Oromo Text Retrieval system
    • [cs.IT]Causal Channels
    • [cs.IT]Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems I
    • [cs.IT]Wireless Coded Caching Can Overcome the Worst-User Bottleneck by Exploiting Finite File Sizes
    • [cs.LG]A Comparative Evaluation of Quantification Methods
    • [cs.LG]A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
    • [cs.LG]A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks
    • [cs.LG]Alleviation of Temperature Variation Induced Accuracy Degradation in Ferroelectric FinFET Based Neural Network
    • [cs.LG]Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
    • [cs.LG]Bad and good errors: value-weighted skill scores in deep ensemble learning
    • [cs.LG]Combinatorial Bandits without Total Order for Arms
    • [cs.LG]Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
    • [cs.LG]Continuous Coordination As a Realistic Scenario for Lifelong Learning
    • [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
    • [cs.LG]Deep Graph Structure Learning for Robust Representations: A Survey
    • [cs.LG]Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class
    • [cs.LG]Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-pruned Sign-symmetric Feedback Alignment
    • [cs.LG]Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
    • [cs.LG]Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
    • [cs.LG]Fairness of Exposure in Stochastic Bandits
    • [cs.LG]GenoML: Automated Machine Learning for Genomics
    • [cs.LG]Gradient-Guided Dynamic Efficient Adversarial Training
    • [cs.LG]Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study
    • [cs.LG]Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
    • [cs.LG]Inverse Reinforcement Learning with Explicit Policy Estimates
    • [cs.LG]Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
    • [cs.LG]Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
    • [cs.LG]Learning-based Adaptive Control via Contraction Theory
    • [cs.LG]Linear Bandit Algorithms with Sublinear Time Complexity
    • [cs.LG]Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
    • [cs.LG]Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
    • [cs.LG]Of Moments and Matching: Trade-offs and Treatments in Imitation Learning
    • [cs.LG]On the Convergence and Optimality of Policy Gradient for Coherent Risk
    • [cs.LG]On the Importance of Sampling in Learning Graph Convolutional Networks
    • [cs.LG]One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
    • [cs.LG]Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning
    • [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
    • [cs.LG]Shift Invariance Can Reduce Adversarial Robustness
    • [cs.LG]Statistical Hypothesis Testing for Class-Conditional Label Noise
    • [cs.LG]Successor Feature Sets: Generalizing Successor Representations Across Policies
    • [cs.LG]There and back again: Cycle consistency across sets for isolating factors of variation
    • [cs.LG]Toward Robust Long Range Policy Transfer
    • [cs.LG]Universal Representation for Code
    • [cs.LG]Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
    • [cs.LG]Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss
    • [cs.MA]FAtiMA Toolkit — Toward an effective and accessible tool for the development of intelligent virtual agents and social robots
    • [cs.NI]Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
    • [cs.PF]Consensus in Blockchain Systems with Low Network Throughput: A Systematic Mapping Study
    • [cs.PF]ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX
    • [cs.RO]A framework for power line inspection tasks with multi-robot systems from signal temporal logic specifications
    • [cs.RO]A toolbox for neuromorphic sensing in robotics
    • [cs.RO]An Optimization Approach for a Robust and Flexible Control in Collaborative Applications
    • [cs.RO]DT: Temporal Logic Path Planning in a Dynamic Environment
    • [cs.RO]Estimation and Planning of Exploration Over Grid Map Using A Spatiotemporal Model with Incomplete State Observations
    • [cs.RO]Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
    • [cs.RO]Humanoid Control Under Interchangeable Fixed and Sliding Unilateral Contacts
    • [cs.RO]ILoSA: Interactive Learning of Stiffness and Attractors
    • [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
    • [cs.RO]Learning the Next Best View for 3D Point Clouds via Topological Features
    • [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
    • [cs.RO]MT     : Multi-Robot Path Planning for Temporal Logic Specifications
    • [cs.RO]Multiple-Channel Real Time Filtering for a Myoelectric Prosthetic Hand-Arm Robot System
    • [cs.RO]Policy Decomposition: Approximate Optimal Control with Suboptimality Estimates
    • [cs.RO]Preference-based Learning of Reward Function Features
    • [cs.RO]Real-Time Navigation System for a Low-Cost Mobile Robot with an RGB-D Camera
    • [cs.RO]Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors
    • [cs.RO]Resilient Active Information Acquisition with Teams of Robots
    • [cs.RO]STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation
    • [cs.RO]Semantics-guided Skeletonization of Sweet Cherry Trees for Robotic Pruning
    • [cs.RO]Toward Automated Generation of Affective Gestures from Text:A Theory-Driven Approach
    • [cs.RO]Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
    • [cs.SD]Compute and memory efficient universal sound source separation
    • [cs.SD]Error-driven Fixed-Budget ASR Personalization for Accented Speakers
    • [cs.SE]Enabling Software Resilience in GPGPU Applications via Partial Thread Protection
    • [cs.SE]Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
    • [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
    • [cs.SI]Sublinear Domination and Core-Periphery Networks
    • [cs.SI]Understanding WeChat User Preferences and “Wow” Diffusion
    • [econ.EM]High-dimensional estimation of quadratic variation based on penalized realized variance
    • [econ.GN]Event-Based Dynamic Banking Network Exploration for Economic Anomaly Detection
    • [econ.GN]Sales Prediction Model Using Classification Decision Tree Approach For Small Medium Enterprise Based on Indonesian E-Commerce Data
    • [eess.IV]A Cross Channel Context Model for Latents in Deep Image Compression
    • [eess.IV]A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture
    • [eess.IV]Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks
    • [eess.IV]COIN: COmpression with Implicit Neural representations
    • [eess.IV]Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
    • [eess.IV]Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
    • [eess.IV]Learning With Context Feedback Loop for Robust Medical Image Segmentation
    • [eess.IV]Memory-Efficient Network for Large-scale Video Compressive Sensing
    • [eess.IV]Model-based image adjustment for a successful pansharpening
    • [eess.IV]PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers
    • [eess.IV]Perceptual Image Restoration with High-Quality Priori and Degradation Learning
    • [eess.IV]Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
    • [eess.IV]Self-supervised deep convolutional neural network for chest X-ray classification
    • [math.PR]Small Sample Spaces for Gaussian Processes
    • [math.ST]A convex approach to optimum design of experiments with correlated observations
    • [math.ST]Decision tree-based estimation of the overlap of two probability distributions
    • [math.ST]Estimation of multivariate generalized gamma convolutions through Laguerre expansions
    • [math.ST]Upper bound on the total variation between Dirichlet and multivariate normal distributions
    • [physics.soc-ph]First steps towards quantifying district compactness in the ReCom sampling method
    • [stat.AP]Exploring the representativeness of the M5 competition data
    • [stat.AP]Exploring the roles of local mobility patterns, socioeconomic conditions, and lockdown policies in shaping the patterns of COVID-19 spread
    • [stat.AP]Financial Application of Extended Residual Coherence
    • [stat.AP]The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage
    • [stat.CO]Importance Sampling with the Integrated Nested Laplace Approximation
    • [stat.CO]Machine Learning using Stata/Python
    • [stat.ME]A Two-Sample Robust Bayesian Mendelian Randomization Method Accounting for Linkage Disequilibrium and Idiosyncratic Pleiotropy with Applications to the COVID-19 Outcome
    • [stat.ME]Approximate Bayesian Conditional Copulas
    • [stat.ME]Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection
    • [stat.ME]Maximum likelihood estimation for a general mixture of Markov jump processes
    • [stat.ME]Non-Asymptotic Guarantees for Robust Identification of Granger Causality via the LASSO
    • [stat.ME]PIntMF: Penalized Integrative Matrix Factorization Method for Multi-Omics Data
    • [stat.ME]Weighted-Graph-Based Change Point Detection
    • [stat.ML]A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization
    • [stat.ML]Calibrated Simplex Mapping Classification
    • [stat.ML]Clustering multilayer graphs with missing nodes
    • [stat.ML]Contrastive learning of strong-mixing continuous-time stochastic processes
    • [stat.ML]Function Approximation via Sparse Random Features
    • [stat.ML]Lower-bounded proper losses for weakly supervised classification
    • [stat.ML]Out of Distribution Generalization in Machine Learning
    • [stat.ML]Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference

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

    • [cs.AI]Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
    Alvi Ataur Khalil, Alexander J Byrne, Mohammad Ashiqur Rahman, Mohammad Hossein Manshaei
    http://arxiv.org/abs/2103.02676v1

    • [cs.AI]Morality, Machines and the Interpretation Problem: A value-based, Wittgensteinian approach to building Moral Agents
    Cosmin Badea, Gregory Artus
    http://arxiv.org/abs/2103.02728v1

    • [cs.AI]The Dota 2 Bot Competition
    Jose M. Font, Tobias Mahlmann
    http://arxiv.org/abs/2103.02943v1

    • [cs.AR]Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing
    Zejian Liu, Gang Li, Jian Cheng
    http://arxiv.org/abs/2103.02800v1

    • [cs.CL]A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
    Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain
    http://arxiv.org/abs/2103.02636v1

    • [cs.CL]A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
    Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu
    http://arxiv.org/abs/2103.03095v1

    • [cs.CL]Advances in Multi-turn Dialogue Comprehension: A Survey
    Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2103.03125v1

    • [cs.CL]An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary
    Shuangyong Song, Kexin Wang, Chao Wang, Haiqing Chen, Huan Chen
    http://arxiv.org/abs/2103.02878v1

    • [cs.CL]An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
    Ha Nguyen, Yannick Estève, Laurent Besacier
    http://arxiv.org/abs/2103.03233v1

    • [cs.CL]An empirical analysis of phrase-based and neural machine translation
    Hamidreza Ghader
    http://arxiv.org/abs/2103.03108v1

    • [cs.CL]Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain
    Waheed Ahmed Abro, Annalena Aicher, Niklas Rach, Stefan Ultes, Wolfgang Minker, Guilin Qi
    http://arxiv.org/abs/2103.02691v1

    • [cs.CR]An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
    Ipsita Koley, Sunandan Adhikary, Soumyajit Dey
    http://arxiv.org/abs/2103.02872v1

    • [cs.CR]BLOCKEYE: Hunting For DeFi Attacks on Blockchain
    Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, Hong Lei
    http://arxiv.org/abs/2103.02873v1

    • [cs.CR]Decoding supercodes of Gabidulin codes and applications to cryptanalysis
    Maxime Bombar, Alain Couvreur
    http://arxiv.org/abs/2103.02700v1

    • [cs.CR]Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
    William Paul, Yinzhi Cao, Miaomiao Zhang, Phil Burlina
    http://arxiv.org/abs/2103.03078v1

    • [cs.CR]Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
    E. Kurshan, H. Shen
    http://arxiv.org/abs/2103.03227v1

    • [cs.CR]Malware Classification Using Long Short-Term Memory Models
    Dennis Dang, Fabio Di Troia, Mark Stamp
    http://arxiv.org/abs/2103.02746v1

    • [cs.CR]Malware Classification with GMM-HMM Models
    Jing Zhao, Samanvitha Basole, Mark Stamp
    http://arxiv.org/abs/2103.02753v1

    • [cs.CR]Malware Classification with Word Embedding Features
    Aparna Sunil Kale, Fabio Di Troia, Mark Stamp
    http://arxiv.org/abs/2103.02711v1

    • [cs.CR]On the privacy-utility trade-off in differentially private hierarchical text classification
    Dominik Wunderlich, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau, Thorsten Strufe
    http://arxiv.org/abs/2103.02895v1

    • [cs.CR]PointGuard: Provably Robust 3D Point Cloud Classification
    Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
    http://arxiv.org/abs/2103.03046v1

    • [cs.CR]Quantifying identifiability to choose and audit 今日学术视野(2021.3.6) - 图3 in differentially private deep learning
    Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum
    http://arxiv.org/abs/2103.02913v1

    • [cs.CR]Requirement Analyses and Evaluations of Blockchain Platforms per Possible Use Cases
    Kenji Saito, Akimitsu Shiseki, Mitsuyasu Takada, Hiroki Yamamoto, Masaaki Saitoh, Hiroaki Ohkawa, Hirofumi Andou, Naotake Miyamoto, Kazuaki Yamakawa, Kiyoshi Kurakawa, Tomohiro Yabushita, Yuji Yamada, Go Masuda, Kazuyuki Masuda
    http://arxiv.org/abs/2103.03209v1

    • [cs.CR]Revisiting the Concrete Security of Goldreich’s Pseudorandom Generator
    Jing Yang, Qian Guo, Thomas Johansson, Michael Lentmaier
    http://arxiv.org/abs/2103.02668v1

    • [cs.CV]今日学术视野(2021.3.6) - 图4: Learnable Sparse Signal Superdensity for Guided Depth Estimation
    Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu
    http://arxiv.org/abs/2103.02396v2

    • [cs.CV]A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image
    Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Jiaming Zhang, Jionglong Su
    http://arxiv.org/abs/2103.02835v1

    • [cs.CV]A Structural Causal Model for MR Images of Multiple Sclerosis
    Jacob C. Reinhold, Aaron Carass, Jerry L. Prince
    http://arxiv.org/abs/2103.03158v1

    • [cs.CV]A comprehensive survey on point cloud registration
    Xiaoshui Huang, Guofeng Mei, Jian Zhang, Rana Abbas
    http://arxiv.org/abs/2103.02690v1

    • [cs.CV]Anycost GANs for Interactive Image Synthesis and Editing
    Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
    http://arxiv.org/abs/2103.03243v1

    • [cs.CV]Augmentation Strategies for Learning with Noisy Labels
    Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer
    http://arxiv.org/abs/2103.02130v2

    • [cs.CV]BM3D vs 2-Layer ONN
    Junaid Malik, Serkan Kiranyaz, Mehmet Yamac, Moncef Gabbouj
    http://arxiv.org/abs/2103.03060v1

    • [cs.CV]Barlow Twins: Self-Supervised Learning via Redundancy Reduction
    Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
    http://arxiv.org/abs/2103.03230v1

    • [cs.CV]Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
    Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng
    http://arxiv.org/abs/2103.02845v1

    • [cs.CV]CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
    Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia
    http://arxiv.org/abs/2103.03024v1

    • [cs.CV]Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
    Yuzhe Lu, Aadarsh Jha, Yuankai Huo
    http://arxiv.org/abs/2103.03166v1

    • [cs.CV]Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
    Junaid Malik, Serkan Kiranyaz, Mehmet Yamac, Esin Guldogan, Moncef Gabbouj
    http://arxiv.org/abs/2103.03070v1

    • [cs.CV]Coordinate Attention for Efficient Mobile Network Design
    Qibin Hou, Daquan Zhou, Jiashi Feng
    http://arxiv.org/abs/2103.02907v1

    • [cs.CV]DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks
    Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Chakravarty R. Alla Chaitanya, Anton Kaplanyan, Markus Steinberger
    http://arxiv.org/abs/2103.03231v1

    • [cs.CV]Data Augmentation for Object Detection via Differentiable Neural Rendering
    Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang
    http://arxiv.org/abs/2103.02852v1

    • [cs.CV]Deep Clustering by Semantic Contrastive Learning
    Jiabo Huang, Shaogang Gong
    http://arxiv.org/abs/2103.02662v1

    • [cs.CV]DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
    Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris Metaxas
    http://arxiv.org/abs/2103.02772v1

    • [cs.CV]Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
    Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2103.02433v2

    • [cs.CV]Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
    Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu
    http://arxiv.org/abs/2103.02904v1

    • [cs.CV]Efficient data-driven encoding of scene motion using Eccentricity
    Bruno Costa, Enrique Corona, Mostafa Parchami, Gint Puskorius, Dimitar Filev
    http://arxiv.org/abs/2103.02743v1

    • [cs.CV]Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
    Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan K. Asari
    http://arxiv.org/abs/2103.03170v1

    • [cs.CV]Event-based Synthetic Aperture Imaging with a Hybrid Network
    Xiang Zhang, Liao Wei, Lei Yu, Wen Yang, Gui-Song Xia
    http://arxiv.org/abs/2103.02376v2

    • [cs.CV]Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
    Jianwei Song, Ruoyu Yang
    http://arxiv.org/abs/2103.02782v1

    • [cs.CV]ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
    Mingyu Yin, Li Sun, Qingli Li
    http://arxiv.org/abs/2103.02264v2

    • [cs.CV]Learning Asynchronous and Sparse Human-Object Interaction in Videos
    Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
    http://arxiv.org/abs/2103.02758v1

    • [cs.CV]Learning Granularity-Aware Convolutional Neural Network for Fine-Grained Visual Classification
    Jianwei Song, Ruoyu Yang
    http://arxiv.org/abs/2103.02788v1

    • [cs.CV]Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
    Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
    http://arxiv.org/abs/2103.03129v1

    • [cs.CV]MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
    Jinshu Chen, Qihui Xu, Qi Kang, MengChu Zhou
    http://arxiv.org/abs/2103.02997v1

    • [cs.CV]Mask DnGAN: Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
    Avinash Paliwal, Libing Zeng, Nima Khademi Kalantari
    http://arxiv.org/abs/2103.02861v1

    • [cs.CV]Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects
    Jannis Priesnitz, Rolf Huesmann, Christian Rathgeb, Nicolas Buchmann, Christoph Busch
    http://arxiv.org/abs/2103.03038v1

    • [cs.CV]Modeling Multi-Label Action Dependencies for Temporal Action Localization
    Praveen Tirupattur, Kevin Duarte, Yogesh Rawat, Mubarak Shah
    http://arxiv.org/abs/2103.03027v1

    • [cs.CV]Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
    Vassilios Vonikakis, Dexter Neo, Stefan Winkler
    http://arxiv.org/abs/2103.02854v1

    • [cs.CV]Motion-blurred Video Interpolation and Extrapolation
    Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon
    http://arxiv.org/abs/2103.02984v1

    • [cs.CV]MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang
    http://arxiv.org/abs/2103.02243v2

    • [cs.CV]Optical Flow Estimation from a Single Motion-blurred Image
    Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon
    http://arxiv.org/abs/2103.02996v1

    • [cs.CV]PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
    Yujia Liu, Stefano D’Aronco, Konrad Schindler, Jan Dirk Wegner
    http://arxiv.org/abs/2103.02766v1

    • [cs.CV]Perceiver: General Perception with Iterative Attention
    Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, Joao Carreira
    http://arxiv.org/abs/2103.03206v1

    • [cs.CV]Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
    Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma
    http://arxiv.org/abs/2103.02850v1

    • [cs.CV]Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression
    Santiago Toledo-Cortés, Diego H. Useche, Fabio A. González
    http://arxiv.org/abs/2103.03188v1

    • [cs.CV]QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
    Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
    http://arxiv.org/abs/2103.02927v1

    • [cs.CV]SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
    Farzeen Munir, Shoaib Azam, Moongu Jeon
    http://arxiv.org/abs/2103.03150v1

    • [cs.CV]SVMax: A Feature Embedding Regularizer
    Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis
    http://arxiv.org/abs/2103.02770v1

    • [cs.CV]Self-Distribution Binary Neural Networks
    Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
    http://arxiv.org/abs/2103.02394v2

    • [cs.CV]Self-supervised Geometric Perception
    Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun
    http://arxiv.org/abs/2103.03114v1

    • [cs.CV]Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
    Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang
    http://arxiv.org/abs/2103.02911v1

    • [cs.CV]SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
    Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
    http://arxiv.org/abs/2103.03000v1

    • [cs.CV]Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
    Zhiqun Zhao, Hengyou Wang, Hao Sun, Zhihai He
    http://arxiv.org/abs/2103.02781v1

    • [cs.CV]Sub-pixel face landmarks using heatmaps and a bag of tricks
    Samuel W. F. Earp, Aubin Samacoits, Sanjana Jain, Pavit Noinongyao, Siwa Boonpunmongkol
    http://arxiv.org/abs/2103.03059v1

    • [cs.CV]TPCN: Temporal Point Cloud Networks for Motion Forecasting
    Maosheng Ye, Tongyi Cao, Qifeng Chen
    http://arxiv.org/abs/2103.03067v1

    • [cs.CV]Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
    Aleksandr Belov, Joel Stadelmann, Sergey Kastryulin, Dmitry V. Dylov
    http://arxiv.org/abs/2103.02940v1

    • [cs.CV]Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
    Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li
    http://arxiv.org/abs/2103.02808v1

    • [cs.CV]Visual Question Answering: which investigated applications?
    Silvio Barra, Carmen Bisogni, Maria De Marsico, Stefano Ricciardi
    http://arxiv.org/abs/2103.02937v1

    • [cs.CV]When Face Recognition Meets Occlusion: A New Benchmark
    Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Kangli Zeng, Zhen Han, Xin Tian, Yuhong Yang
    http://arxiv.org/abs/2103.02805v1

    • [cs.CY]MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper
    Tracie Farrell, Mehmet Bakir, Kalina Bontcheva
    http://arxiv.org/abs/2103.02917v1

    • [cs.CY]Remote Observation of Field Work on the Farm
    Wendy Ju, Ilan Mandel, Kevin Weatherwax, Leila Takayama, Nikolas Martelaro, Denis Willett
    http://arxiv.org/abs/2103.03163v1

    • [cs.DC]Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact
    Ayesha Afzal, Georg Hager, Gerhard Wellein
    http://arxiv.org/abs/2103.03175v1

    • [cs.DC]Be Prepared When Network Goes Bad: An Asynchronous View-Change Protocol
    Rati Gelashvili, Lefteris Kokoris-Kogias, Alexander Spiegelman, Zhuolun Xiang
    http://arxiv.org/abs/2103.03181v1

    • [cs.DC]Blockchain Based Accounts Payable Platform for Goods Trade
    Krishnasuri Narayanam, Seep Goel, Abhishek Singh, Yedendra Shrinivasan, Parameswaram Selvam
    http://arxiv.org/abs/2103.02979v1

    • [cs.DC]Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
    Agastya P. Bhati, Shunzhou Wan, Dario Alfè, Austin R. Clyde, Mathis Bode, Li Tan, Mikhail Titov, Andre Merzky, Matteo Turilli, Shantenu Jha, Roger R. Highfield, Walter Rocchia, Nicola Scafuri, Sauro Succi, Dieter Kranzlmüller, Gerald Mathias, David Wifling, Yann Donon, Alberto Di Meglio, Sofia Vallecorsa, Heng Ma, Anda Trifan, Arvind Ramanathan, Tom Brettin, Alexander Partin, Fangfang Xia, Xiaotan Duan, Rick Stevens, Peter V. Coveney
    http://arxiv.org/abs/2103.02843v1

    • [cs.DC]Serverless Model Serving for Data Science
    Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
    http://arxiv.org/abs/2103.02958v1

    • [cs.DC]Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication
    Busra Tegin, Eduin. E. Hernandez, Stefano Rini, Tolga M. Duman
    http://arxiv.org/abs/2103.02928v1

    • [cs.DC]The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems
    Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernandez Luz, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
    http://arxiv.org/abs/2103.03044v1

    • [cs.DC]Wanted Dead or Alive : Epistemic logic for impure simplicial complexes
    Hans van Ditmarsch
    http://arxiv.org/abs/2103.03032v1

    • [cs.HC]Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform
    Mahendran Subramanian, Suhyung Park, Pavel Orlov, Ali Shafti, A. Aldo Faisal
    http://arxiv.org/abs/2103.03072v1

    • [cs.IR]IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
    Shalini Pandey, George Karypis, Jaideep Srivasatava
    http://arxiv.org/abs/2103.02866v1

    • [cs.IR]The effects of having lists of synonyms on the performance of Afaan Oromo Text Retrieval system
    Isayas Wakgari Kelbessa
    http://arxiv.org/abs/2103.02900v1

    • [cs.IT]Causal Channels
    Kevin Shu
    http://arxiv.org/abs/2103.02834v1

    • [cs.IT]Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems I
    Shlomi Agmon, Etam Benger, Or Ordentlich, Naftali Tishby
    http://arxiv.org/abs/2103.02646v1

    • [cs.IT]Wireless Coded Caching Can Overcome the Worst-User Bottleneck by Exploiting Finite File Sizes
    Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
    http://arxiv.org/abs/2103.02967v1

    • [cs.LG]A Comparative Evaluation of Quantification Methods
    Tobias Schumacher, Markus Strohmaier, Florian Lemmerich
    http://arxiv.org/abs/2103.03223v1

    • [cs.LG]A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
    Josh Kalin, David Noever, Matthew Ciolino
    http://arxiv.org/abs/2103.02718v1

    • [cs.LG]A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks
    Yudi Dong, Huaxia Wang, Yu-Dong Yao
    http://arxiv.org/abs/2103.02654v1

    • [cs.LG]Alleviation of Temperature Variation Induced Accuracy Degradation in Ferroelectric FinFET Based Neural Network
    Sourav De, Yao-Jen Lee, Darsen D. Lu
    http://arxiv.org/abs/2103.03111v1

    • [cs.LG]Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
    Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang
    http://arxiv.org/abs/2103.02982v1

    • [cs.LG]Bad and good errors: value-weighted skill scores in deep ensemble learning
    Sabrina Guastavino, Michele Piana, Federico Benvenuto
    http://arxiv.org/abs/2103.02881v1

    • [cs.LG]Combinatorial Bandits without Total Order for Arms
    Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon, Sujay Sanghavi
    http://arxiv.org/abs/2103.02741v1

    • [cs.LG]Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
    Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré
    http://arxiv.org/abs/2103.02761v1

    • [cs.LG]Continuous Coordination As a Realistic Scenario for Lifelong Learning
    Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville, Sarath Chandar
    http://arxiv.org/abs/2103.03216v1

    • [cs.LG]D’ya like DAGs? A Survey on Structure Learning and Causal Discovery
    Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/2103.02582v2

    • [cs.LG]Deep Graph Structure Learning for Robust Representations: A Survey
    Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
    http://arxiv.org/abs/2103.03036v1

    • [cs.LG]Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality on Hölder Class
    Yuling Jiao, Yanming Lai, Xiliang Lu, Zhijian Yang
    http://arxiv.org/abs/2103.00542v2

    • [cs.LG]Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-pruned Sign-symmetric Feedback Alignment
    Ziyang Hong, C. Patrick Yue
    http://arxiv.org/abs/2103.02889v1

    • [cs.LG]Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
    Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal
    http://arxiv.org/abs/2103.02762v1

    • [cs.LG]Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
    Cheng Yang, Jiawei Liu, Chuan Shi
    http://arxiv.org/abs/2103.02885v1

    • [cs.LG]Fairness of Exposure in Stochastic Bandits
    Lequn Wang, Yiwei Bai, Wen Sun, Thorsten Joachims
    http://arxiv.org/abs/2103.02735v1

    • [cs.LG]GenoML: Automated Machine Learning for Genomics
    Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, David Saffo, Lana Sargent, Anant Dadu, Eduardo Salmerón Castaño, John F. Carter, Melina Maleknia, Juan A. Botia, Cornelis Blauwendraat, Roy H. Campbell, Sayed Hadi Hashemi, Andrew B. Singleton, Mike A. Nalls, Faraz Faghri
    http://arxiv.org/abs/2103.03221v1

    • [cs.LG]Gradient-Guided Dynamic Efficient Adversarial Training
    Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan
    http://arxiv.org/abs/2103.03076v1

    • [cs.LG]Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study
    Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán McLoone
    http://arxiv.org/abs/2103.02687v1

    • [cs.LG]Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
    Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel
    http://arxiv.org/abs/2103.02886v1

    • [cs.LG]Inverse Reinforcement Learning with Explicit Policy Estimates
    Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani
    http://arxiv.org/abs/2103.02863v1

    • [cs.LG]Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
    Litao Qiao, Weijia Wang, Bill Lin
    http://arxiv.org/abs/2103.02826v1

    • [cs.LG]Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
    Aniruddh Raghu, John Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
    http://arxiv.org/abs/2103.02768v1

    • [cs.LG]Learning-based Adaptive Control via Contraction Theory
    Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques Slotine
    http://arxiv.org/abs/2103.02987v1

    • [cs.LG]Linear Bandit Algorithms with Sublinear Time Complexity
    Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
    http://arxiv.org/abs/2103.02729v1

    • [cs.LG]Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
    Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus
    http://arxiv.org/abs/2103.03014v1

    • [cs.LG]Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
    Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk, Gennady Pekhimenko
    http://arxiv.org/abs/2103.03239v1

    • [cs.LG]Of Moments and Matching: Trade-offs and Treatments in Imitation Learning
    Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell
    http://arxiv.org/abs/2103.03236v1

    • [cs.LG]On the Convergence and Optimality of Policy Gradient for Coherent Risk
    Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
    http://arxiv.org/abs/2103.02827v1

    • [cs.LG]On the Importance of Sampling in Learning Graph Convolutional Networks
    Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
    http://arxiv.org/abs/2103.02696v1

    • [cs.LG]One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
    Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao
    http://arxiv.org/abs/2103.03228v1

    • [cs.LG]Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning
    Adrián Javal
    249
    oy, Isabel Valera
    http://arxiv.org/abs/2103.02631v1

    • [cs.LG]Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
    Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
    http://arxiv.org/abs/2103.0257
    1000
    8v1
    1000
    8v1)

    • [cs.LG]Shift Invariance Can Reduce Adversarial Robustness
    Songwei Ge, Vasu Singla, Ronen Basri, David Jacobs
    http://arxiv.org/abs/2103.02695v1

    • [cs.LG]Statistical Hypothesis Testing for Class-Conditional Label Noise
    Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raul Santos-Rodriguez
    http://arxiv.org/abs/2103.02630v1

    • [cs.LG]Successor Feature Sets: Generalizing Successor Representations Across Policies
    Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
    http://arxiv.org/abs/2103.02650v1

    • [cs.LG]There and back again: Cycle consistency across sets for isolating factors of variation
    Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
    http://arxiv.org/abs/2103.03240v1

    • [cs.LG]Toward Robust Long Range Policy Transfer
    Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun
    http://arxiv.org/abs/2103.02957v1

    • [cs.LG]Universal Representation for Code
    Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
    http://arxiv.org/abs/2103.03116v1

    • [cs.LG]Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
    Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael Bronstein
    http://arxiv.org/abs/2103.03212v1

    • [cs.LG]Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss
    Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
    http://arxiv.org/abs/2103.03113v1

    • [cs.MA]FAtiMA Toolkit — Toward an effective and accessible tool for the development of intelligent virtual agents and social robots
    Samuel Mascarenhas, Manuel Guimarães, Pedro A. Santos, João Dias, Rui Prada, Ana Paiva
    http://arxiv.org/abs/2103.03020v1

    • [cs.NI]Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
    Xiaoyang Wang, Jonathan D Thomas, Robert J Piechocki, Shipra Kapoor, Raul Santos-Rodriguez, Arjun Parekh
    http://arxiv.org/abs/2103.02649v1

    • [cs.PF]Consensus in Blockchain Systems with Low Network Throughput: A Systematic Mapping Study
    Henrik Knudsen, Jakob Svennevik Notland, Peter Halland Haro, Truls Bakkejord Ræder, Jingyue Li
    http://arxiv.org/abs/2103.02916v1

    • [cs.PF]ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX
    Christie Alappat, Nils Meyer, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Tilo Wettig
    http://arxiv.org/abs/2103.03013v1

    • [cs.RO]A framework for power line inspection tasks with multi-robot systems from signal temporal logic specifications
    Giuseppe Silano, Davide Liuzza, Luigi Iannelli, Martin Saska
    http://arxiv.org/abs/2103.02999v1

    • [cs.RO]A toolbox for neuromorphic sensing in robotics
    Julien Dupeyroux
    http://arxiv.org/abs/2103.02751v1

    • [cs.RO]An Optimization Approach for a Robust and Flexible Control in Collaborative Applications
    Federico Benzi, Cristian Secchi
    http://arxiv.org/abs/2103.03082v1

    • [cs.RO]**DT: Temporal Logic Path Planning in a Dynamic Environment
    Priya Purohit, Indranil Saha
    http://arxiv.org/abs/2103.02849v1

    • [cs.RO]Estimation and Planning of Exploration Over Grid Map Using A Spatiotemporal Model with Incomplete State Observations
    Hyung-Jin Yoon, Hunmin Kim, Kripash Shrestha, Naira Hovakimyan, Petros Voulgaris
    http://arxiv.org/abs/2103.02840v1

    • [cs.RO]Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
    Zehang Weng, Fabian Paus, Anastasiia Varava, Hang Yin, Tamim Asfour, Danica Kragic
    http://arxiv.org/abs/2103.02932v1

    • [cs.RO]Humanoid Control Under Interchangeable Fixed and Sliding Unilateral Contacts
    Saeid Samadi, Julien Roux, Arnaud Tanguy, Stéphane Caron, Abderrahmane Kheddar
    http://arxiv.org/abs/2103.02906v1

    • [cs.RO]ILoSA: Interactive Learning of Stiffness and Attractors
    Giovanni Franzese, Anna Mészáros, Luka Peternel, Jens Kober
    http://arxiv.org/abs/2103.03099v1

    • [cs.RO]Inertial based Integration with Transformed INS Mechanization in Earth Frame
    Lubin Chang, Jingbo Di, Fangjun Qin
    http://arxiv.org/abs/2103.02229v2

    • [cs.RO]Learning the Next Best View for 3D Point Clouds via Topological Features
    Christopher Collander, William J. Beksi, Manfred Huber
    http://arxiv.org/abs/2103.02789v1

    • [cs.RO]Learning to Fly — a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
    Jacopo Panerati, Hehui Zheng, SiQi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
    http://arxiv.org/abs/2103.02142v2

    • [cs.RO]**MT : Multi-Robot Path Planning for Temporal Logic Specifications
    Dhaval Gujarathi, Indranil Saha
    http://arxiv.org/abs/2103.02821v1

    • [cs.RO]Multiple-Channel Real Time Filtering for a Myoelectric Prosthetic Hand-Arm Robot System
    Weibang Bai, Yinlai Jiang, Hiroshi Yokoi
    http://arxiv.org/abs/2103.02750v1

    • [cs.RO]Policy Decomposition: Approximate Optimal Control with Suboptimality Estimates
    Ashwin Khadke, Hartmut Geyer
    http://arxiv.org/abs/2103.02716v1

    • [cs.RO]Preference-based Learning of Reward Function Features
    Sydney M. Katz, Amir Maleki, Erdem Bıyık, Mykel J. Kochenderfer
    http://arxiv.org/abs/2103.02727v1

    • [cs.RO]Real-Time Navigation System for a Low-Cost Mobile Robot with an RGB-D Camera
    Taekyung Kim, Seunghyun Lim, Gwanjun Shin, Geonhee Sim, Dongwon Yun
    http://arxiv.org/abs/2103.03054v1

    • [cs.RO]Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors
    Chen-Huan Pi, Kai-Chun Hu, Yu-Ting Huang, Stone Cheng
    http://arxiv.org/abs/2103.03011v1

    • [cs.RO]Resilient Active Information Acquisition with Teams of Robots
    Brent Schlotfeldt, Vasileios Tzoumas, George J. Pappas
    http://arxiv.org/abs/2103.02733v1

    • [cs.RO]STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation
    David D. Fan, Kyohei Otsu, Yuki Kubo, Anushri Dixit, Joel Burdick, Ali-Akbar Agha-Mohammadi
    http://arxiv.org/abs/2103.02828v1

    • [cs.RO]Semantics-guided Skeletonization of Sweet Cherry Trees for Robotic Pruning
    Alexander You, Cindy Grimm, Abhisesh Silwal, Joseph R. Davidson
    http://arxiv.org/abs/2103.02833v1

    • [cs.RO]Toward Automated Generation of Affective Gestures from Text:A Theory-Driven Approach
    Micol Spitale, Maja J Matarić
    http://arxiv.org/abs/2103.03079v1

    • [cs.RO]Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
    Ivan Fursa, Elias Fandi, Valentina Musat, Jacob Culley, Enric Gil, Louise Bilous, Isaac Vander Sluis, Alexander Rast, Andrew Bradley
    http://arxiv.org/abs/2103.02760v1

    • [cs.SD]Compute and memory efficient universal sound source separation
    Efthymios Tzinis, Zhepei Wang, Xilin Jiang, Paris Smaragdis
    http://arxiv.org/abs/2103.02644v1

    • [cs.SD]Error-driven Fixed-Budget ASR Personalization for Accented Speakers
    Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi
    http://arxiv.org/abs/2103.03142v1

    • [cs.SE]Enabling Software Resilience in GPGPU Applications via Partial Thread Protection
    Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni
    http://arxiv.org/abs/2103.02825v1

    • [cs.SE]Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
    Hyejin Park, Taaha Waseem, Wen Qi Teo, Ying Hwei Low, Mei Kuan Lim, Chun Yong Chong
    http://arxiv.org/abs/2103.02870v1

    • [cs.SI]Graph and Network Theory for the analysis of Criminal Networks
    Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta
    http://arxiv.org/abs/2103.02504v2

    • [cs.SI]Sublinear Domination and Core-Periphery Networks
    Marios Papachristou
    http://arxiv.org/abs/2103.03135v1

    • [cs.SI]Understanding WeChat User Preferences and “Wow” Diffusion
    Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
    http://arxiv.org/abs/2103.02930v1

    • [econ.EM]High-dimensional estimation of quadratic variation based on penalized realized variance
    Kim Christensen, Mikkel Slot Nielsen, Mark Podolskij
    http://arxiv.org/abs/2103.03237v1

    • [econ.GN]Event-Based Dynamic Banking Network Exploration for Economic Anomaly Detection
    Andry Alamsyah, Dian Puteri Ramadhani, Farida Titik Kristanti
    http://arxiv.org/abs/2103.03120v1

    • [econ.GN]Sales Prediction Model Using Classification Decision Tree Approach For Small Medium Enterprise Based on Indonesian E-Commerce Data
    Raden Johannes, Andry Alamsyah
    http://arxiv.org/abs/2103.03117v1

    • [eess.IV]A Cross Channel Context Model for Latents in Deep Image Compression
    Changyue Ma, Zhao Wang, Ruling Liao, Yan Ye
    http://arxiv.org/abs/2103.02884v1

    • [eess.IV]A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture
    Rohan Tan Bhowmik
    http://arxiv.org/abs/2103.03086v1

    • [eess.IV]Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks
    Dinis L. Rodrigues, Miguel Nobre Menezes, Fausto J. Pinto, Arlindo L. Oliveira
    http://arxiv.org/abs/2103.02969v1

    • [eess.IV]COIN: COmpression with Implicit Neural representations
    Emilien Dupont, Adam Goliński, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
    http://arxiv.org/abs/2103.03123v1

    • [eess.IV]Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
    Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy
    http://arxiv.org/abs/2103.02767v1

    • [eess.IV]Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
    Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf Erdi, Christopher Kanan
    http://arxiv.org/abs/2103.03048v1

    • [eess.IV]Learning With Context Feedback Loop for Robust Medical Image Segmentation
    Kibrom Berihu Girum, Gilles Créhange, Alain Lalande
    http://arxiv.org/abs/2103.02844v1

    • [eess.IV]Memory-Efficient Network for Large-scale Video Compressive Sensing
    Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan
    http://arxiv.org/abs/2103.03089v1

    • [eess.IV]Model-based image adjustment for a successful pansharpening
    Gintautas Palubinskas
    http://arxiv.org/abs/2103.03062v1

    • [eess.IV]PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers
    Shiyao Guo, Yuxia Sheng, Shenpeng Li, Li Chai, Jingxin Zhang
    http://arxiv.org/abs/2103.02813v1

    • [eess.IV]Perceptual Image Restoration with High-Quality Priori and Degradation Learning
    Chaoyi Han, Yiping Duan, Xiaoming Tao, Jianhua Lu
    http://arxiv.org/abs/2103.03010v1

    • [eess.IV]Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
    Juan E. Arco, Andrés Ortiz, Javier Ramírez, Francisco J. Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan M. Górriz
    http://arxiv.org/abs/2103.02961v1

    • [eess.IV]Self-supervised deep convolutional neural network for chest X-ray classification
    Matej Gazda, Jakub Gazda, Jan Plavka, Peter Drotar
    http://arxiv.org/abs/2103.03055v1

    • [math.PR]Small Sample Spaces for Gaussian Processes
    Toni Karvonen
    http://arxiv.org/abs/2103.03169v1

    • [math.ST]A convex approach to optimum design of experiments with correlated observations
    Andrej Pázman, Markus Hainy, Werner G. Müller
    http://arxiv.org/abs/2103.02989v1

    • [math.ST]Decision tree-based estimation of the overlap of two probability distributions
    Hisashi Johno, Kazunori Nakamoto
    http://arxiv.org/abs/2103.02922v1

    • [math.ST]Estimation of multivariate generalized gamma convolutions through Laguerre expansions
    Oskar Laverny, Esterina Masiello, Véronique Maume-Deschamps, Didier Rullière
    http://arxiv.org/abs/2103.03200v1

    • [math.ST]Upper bound on the total variation between Dirichlet and multivariate normal distributions
    Frédéric Ouimet
    http://arxiv.org/abs/2103.02853v1

    • [physics.soc-ph]First steps towards quantifying district compactness in the ReCom sampling method
    Jeanne N. Clelland, Nicholas Bossenbroek, Thomas Heckmaster, Adam Nelson, Peter Rock, Jade VanAusdall
    http://arxiv.org/abs/2103.02699v1

    • [stat.AP]Exploring the representativeness of the M5 competition data
    Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos
    http://arxiv.org/abs/2103.02941v1

    • [stat.AP]Exploring the roles of local mobility patterns, socioeconomic conditions, and lockdown policies in shaping the patterns of COVID-19 spread
    Mauricio Herrera
    http://arxiv.org/abs/2103.02701v1

    • [stat.AP]Financial Application of Extended Residual Coherence
    Xuze Zhang, Benjamin Kedem
    http://arxiv.org/abs/2103.02783v1

    • [stat.AP]The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage
    Michael Price, Jun Yan
    http://arxiv.org/abs/2103.02832v1

    • [stat.CO]Importance Sampling with the Integrated Nested Laplace Approximation
    Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio, Håvard Rue
    http://arxiv.org/abs/2103.02721v1

    • [stat.CO]Machine Learning using Stata/Python
    Giovanni Cerulli
    http://arxiv.org/abs/2103.03122v1

    • [stat.ME]A Two-Sample Robust Bayesian Mendelian Randomization Method Accounting for Linkage Disequilibrium and Idiosyncratic Pleiotropy with Applications to the COVID-19 Outcome
    Anqi Wang, Zhonghua Liu
    http://arxiv.org/abs/2103.02877v1

    • [stat.ME]Approximate Bayesian Conditional Copulas
    Clara Grazian, Luciana Dalla Valle, Brunero Liseo
    http://arxiv.org/abs/2103.02974v1

    • [stat.ME]Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection
    David Benkeser, Iván Díaz, Jialu Ran
    http://arxiv.org/abs/2103.02643v1

    • [stat.ME]Maximum likelihood estimation for a general mixture of Markov jump processes
    Halina Frydman, Budhi Surya
    http://arxiv.org/abs/2103.02755v1

    • [stat.ME]Non-Asymptotic Guarantees for Robust Identification of Granger Causality via the LASSO
    Proloy Das, Behtash Babadi
    http://arxiv.org/abs/2103.02774v1

    • [stat.ME]PIntMF: Penalized Integrative Matrix Factorization Method for Multi-Omics Data
    Morgane Pierre-Jean, Florence Mauger, Jean-François Deleuze, Edith Le Floch
    http://arxiv.org/abs/2103.03184v1

    • [stat.ME]Weighted-Graph-Based Change Point Detection
    Lizhen Nie, Dan L. Nicolae
    http://arxiv.org/abs/2103.02680v1

    • [stat.ML]A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization
    Kazu Ghalamkari, Mahito Sugiyama
    http://arxiv.org/abs/2103.02898v1

    • [stat.ML]Calibrated Simplex Mapping Classification
    Raoul Heese, Michał Walczak, Michael Bortz, Jochen Schmid
    http://arxiv.org/abs/2103.02926v1

    • [stat.ML]Clustering multilayer graphs with missing nodes
    Guillaume Braun, Hemant Tyagi, Christophe Biernacki
    http://arxiv.org/abs/2103.03235v1

    • [stat.ML]Contrastive learning of strong-mixing continuous-time stochastic processes
    Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
    http://arxiv.org/abs/2103.02740v1

    • [stat.ML]Function Approximation via Sparse Random Features
    Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward
    http://arxiv.org/abs/2103.03191v1

    • [stat.ML]Lower-bounded proper losses for weakly supervised classification
    Shuhei M. Yoshida, Takashi Takenouchi, Masashi Sugiyama
    http://arxiv.org/abs/2103.02893v1

    • [stat.ML]Out of Distribution Generalization in Machine Learning
    Martin Arjovsky
    http://arxiv.org/abs/2103.02667v1

    • [stat.ML]Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
    Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
    http://arxiv.org/abs/2103.02860v1