cond-mat.mes-hall - 尺度和物理纳米

    cs.AI - 人工智能 cs.CL - 计算与语言 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.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.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mes-hall]Learning Time Series from Scale Information
    • [cs.AI]DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer
    • [cs.AI]Human-AI Symbiosis: A Survey of Current Approaches
    • [cs.AI]ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
    • [cs.AI]MILP for the Multi-objective VM Reassignment Problem
    • [cs.AI]Situated Language Learning via Interactive Narratives
    • [cs.AI]Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation
    • [cs.CL]Advancing RNN Transducer Technology for Speech Recognition
    • [cs.CL]All NLP Tasks Are Generation Tasks: A General Pretraining Framework
    • [cs.CL]Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
    • [cs.CL]Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
    • [cs.CL]Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
    • [cs.CL]Decomposing and Recomposing Event Structure
    • [cs.CL]Evaluating Document Coherence Modelling
    • [cs.CL]From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters
    • [cs.CL]GPT Understands, Too
    • [cs.CL]Graph Convolutional Network for Swahili News Classification
    • [cs.CL]Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language
    • [cs.CL]Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
    • [cs.CL]No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
    • [cs.CL]Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
    • [cs.CL]Refining Neural Networks with Compositional Explanations
    • [cs.CL]Smoothing and Shrinking the Sparse Seq2Seq Search Space
    • [cs.CV]A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation
    • [cs.CV]Challenges of 3D Surface Reconstruction in Capsule Endoscopy
    • [cs.CV]CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
    • [cs.CV]Collective Decision of One-vs-Rest Networks for Open Set Recognition
    • [cs.CV]Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence
    • [cs.CV]Consistency-based Active Learning for Object Detection
    • [cs.CV]Danish Fungi 2020 — Not Just Another Image Recognition Dataset
    • [cs.CV]Decoupled Spatial Temporal Graphs for Generic Visual Grounding
    • [cs.CV]Deep Online Correction for Monocular Visual Odometry
    • [cs.CV]Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
    • [cs.CV]Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
    • [cs.CV]Efficient Algorithms for Rotation Averaging Problems
    • [cs.CV]Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training
    • [cs.CV]Equivariant Filters for Efficient Tracking in 3D Imaging
    • [cs.CV]Fast and High-Quality Blind Multi-Spectral Image Pansharpening
    • [cs.CV]FastNeRF: High-Fidelity Neural Rendering at 200FPS
    • [cs.CV]Future Frame Prediction for Robot-assisted Surgery
    • [cs.CV]Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
    • [cs.CV]Hierarchical Attention-based Age Estimation and Bias Estimation
    • [cs.CV]Higher Performance Visual Tracking with Dual-Modal Localization
    • [cs.CV]Impact of Facial Tattoos and Paintings on Face Recognition Systems
    • [cs.CV]Impressions2Font: Generating Fonts by Specifying Impressions
    • [cs.CV]Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
    • [cs.CV]KoDF: A Large-scale Korean DeepFake Detection Dataset
    • [cs.CV]Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
    • [cs.CV]Learning Multimodal Affinities for Textual Editing in Images
    • [cs.CV]Learning to Amend Facial Expression Representation via De-albino and Affinity
    • [cs.CV]Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
    • [cs.CV]Learning to Resize Images for Computer Vision Tasks
    • [cs.CV]Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces
    • [cs.CV]Machine Vision based Sample-Tube Localization for Mars Sample Return
    • [cs.CV]Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
    • [cs.CV]Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
    • [cs.CV]OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation
    • [cs.CV]On Semantic Similarity in Video Retrieval
    • [cs.CV]Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser
    • [cs.CV]RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
    • [cs.CV]Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN
    • [cs.CV]Real-Time Visual Object Tracking via Few-Shot Learning
    • [cs.CV]Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus
    • [cs.CV]Rev
    948
    isiting the Loss Weight Adjustment in Object Detection
    • [cs.CV]Robust Vision-Based Cheat Detection in Competitive Gaming
    • [cs.CV]SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
    • [cs.CV]Self-Supervised Adaptation for Video Super-Resolution
    • [cs.CV]Sequential End-to-end Network for Efficient Person Search
    • [cs.CV]Similarity Transfer for Knowledge Distillation
    • [cs.CV]Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
    • [cs.CV]SparsePoint: Fully End-to-End Sparse 3D Object Detector
    • [cs.CV]Spatio-temporal Crop Classification On Volumetric Data
    • [cs.CV]Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning
    • [cs.CV]TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
    • [cs.CV]The Case for High-Accuracy Classification: Think Small, Think Many!
    • [cs.CV]The Untapped Potential of Off-the-Shelf Convolutional Neural Networks
    • [cs.CV]Topology-Aware Segmentation Using Discrete Morse Theory
    • [cs.CV]TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
    • [cs.CV]Using latent space regression to analyze and leverage compositionality in GANs
    • [cs.CV]Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
    • [cs.CY]Exploring the Drivers and Barriers to Uptake for Digital Contact Tracing
    • [cs.CY]Optimal soil sampling design based on the maxvol algorithm
    • [cs.DC]An Efficient Vectorization Scheme for Stencil Computation
    • [cs.DC]Autotuning Benchmarking Techniques: A Roofline Model Case Study
    • [cs.DC]Computing Parameterized Invariants of Parameterized Petri Nets
    • [cs.DC]Enhanced AGCM3D: A Highly Scalable Dynamical Core of Atmospheric General Circulation Model Based on Leap-Format
    • [cs.DC]Fast Consensus via the Unconstrained Undecided State Dynamics
    • [cs.DC]Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile
    • [cs.DC]Porting a sparse linear algebra math library to Intel GPUs
    • [cs.IR]IRLI: Iterative Re-partitioning for Learning to Index
    • [cs.IT]A Soft-Aided Staircase Decoder Using Three-Level Channel Reliabilities
    • [cs.IT]Analyzing Uplink Grant-free Sparse Code Multiple Access System in Massive IoT Networks
    • [cs.IT]Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel
    • [cs.IT]Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform Random Demands
    • [cs.IT]Multiple Access Channel Resolvability Codes from Source Resolvability Codes
    • [cs.IT]On the Characterizations of OTFS Modulation over multipath Rapid Fading Channel
    • [cs.IT]Some Generic Constructions of Generalized Plateaued Functions
    • [cs.LG]A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
    • [cs.LG]A Survey on Spatio-temporal Data Analytics Systems
    • [cs.LG]A deep learning theory for neural networks grounded in physics
    • [cs.LG]Approximation for Probability Distributions by Wasserstein GAN
    • [cs.LG]Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules
    • [cs.LG]Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
    • [cs.LG]Bias-Free FedGAN
    • [cs.LG]Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge
    • [cs.LG]Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
    • [cs.LG]ChronoR: Rotation Based Temporal Knowledge Graph Embedding
    • [cs.LG]Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
    • [cs.LG]Data-Driven Wireless Communication Using Gaussian Processes
    • [cs.LG]Data-free mixed-precision quantization using novel sensitivity metric
    • [cs.LG]Decision Theoretic Bootstrapping
    • [cs.LG]Domain Generalization using Ensemble Learning
    • [cs.LG]Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
    • [cs.LG]Homomorphically Encrypted Linear Contextual Bandit
    • [cs.LG]Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
    • [cs.LG]Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence
    • [cs.LG]Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
    • [cs.LG]Learning to Schedule Heuristics in Branch-and-Bound
    • [cs.LG]Lossless compression with state space models using bits back coding
    • [cs.LG]MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
    • [cs.LG]Maximum Entropy Reinforcement Learning with Mixture Policies
    • [cs.LG]Modeling the Second Player in Distributionally Robust Optimization
    • [cs.LG]Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
    • [cs.LG]Optimal transport framework for efficient prototype selection
    • [cs.LG]Requirement Engineering Challenges for AI-intense Systems Development
    • [cs.LG]Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences
    • [cs.LG]Stride and Translation Invariance in CNNs
    • [cs.LG]TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation
    • [cs.LG]The Low-Rank Simplicity Bias in Deep Networks
    • [cs.LG]Top-m identification for linear bandits
    • [cs.LG]Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
    • [cs.LG]Value-aware Approximate Attention
    • [cs.NE]On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials is Best
    • [cs.NI]Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
    • [cs.RO]A Methodology for Approaching the Integration of Complex Robotics Systems Illustrated through a Bi-manual Manipulation Case-Study
    • [cs.RO]A Quasi-centralized Collision-free Path Planning Approach for Multi-Robot Systems
    • [cs.RO]AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education
    • [cs.RO]From Navigation to Racing: Reward Signal Design for Autonomous Racing
    • [cs.RO]Heterogeneous robot teams for modeling and prediction of multiscale environmental processes
    • [cs.RO]Human-Inspired Multi-Agent Navigation using Knowledge Distillation
    • [cs.RO]Immersive Operation of a Semi-Autonomous Aerial Platform for Detecting and Mapping Radiation
    • [cs.RO]MORE: Simultaneous Multi-View 3D Object Recognition and Pose Estimation
    • [cs.RO]MS*: A New Exact Algorithm for Multi-agent Simultaneous Multi-goal Sequencing and Path Finding
    • [cs.RO]RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments
    • [cs.RO]Reverse Psychology in Trust-Aware Human-Robot Interaction
    • [cs.RO]S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
    • [cs.RO]You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module
    • [cs.RO]rduino Controlled Pick n Place RoboticArm
    • [cs.SD]Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
    • [cs.SE]On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
    • [cs.SE]The impact of using biased performance metrics on software defect prediction research
    • [cs.SI]Collaborative Filtering Approach to Link Prediction
    • [eess.AS]TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain
    • [eess.IV]COVIDx-US — An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
    • [eess.IV]Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
    • [eess.IV]How I failed machine learning in medical imaging — shortcomings and recommendations
    • [eess.IV]Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
    • [eess.SP]Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point
    • [eess.SP]Error Analysis of Douglas-Rachford Algorithm for Linear Inverse Problems: Asymptotics of Proximity Operator for Squared Loss
    • [eess.SP]Probabilistic Simplex Component Analysis
    • [math.NA]Phase Retrieval and System Identification in Dynamical Sampling via Prony’s Method
    • [math.ST]Bartlett correction of an independence test in a multivariate Poisson model
    • [math.ST]Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models
    • [math.ST]Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach
    • [physics.comp-ph]Evolutional Deep Neural Network
    • [physics.data-an]Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
    • [physics.geo-ph]Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
    • [physics.soc-ph]Vanishing size of critical mass for tipping points in social convention
    • [q-bio.MN]Impact of the error structure on the design and analysis of enzyme kinetic models
    • [q-bio.PE]Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach
    • [q-bio.PE]Phylogenetic typology
    • [q-bio.QM]Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition
    • [q-bio.QM]Outcome-guided Sparse K-means for Disease Subtype Discovery via Integrating Phenotypic Data with High-dimensional Transcriptomic Data
    • [quant-ph]Lower bound the T-count via unitary stabilizer nullity
    • [quant-ph]Neural tensor contractions and the expressive power of deep neural quantum states
    • [stat.AP]Probabilistic Forecasting of Regional Net-load with Conditional Extremes and Gridded NWP
    • [stat.ME]A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
    • [stat.ME]Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
    • [stat.ME]Best estimator for bivariate Poisson regression
    • [stat.ME]Differential analysis in Transcriptomic: The strength of randomly picking ‘reference’ genes
    • [stat.ME]Generalized infinite factorization models
    • [stat.ME]Identification of Underlying Dynamic System from Noisy Data with Splines
    • [stat.ME]Inference and Computation for Sparsely Sampled Random Surfaces
    • [stat.ME]Sparse multivariate regression with missing values and its application to the prediction of material properties
    • [stat.ML]A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
    • [stat.ML]Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model

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    • [cond-mat.mes-hall]Learning Time Series from Scale Information
    Yuan Yang, Jie Ding
    http://arxiv.org/abs/2103.10026v1

    • [cs.AI]DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer
    Buyu Li, Yongchi Zhao, Lu Sheng
    http://arxiv.org/abs/2103.10206v1

    • [cs.AI]Human-AI Symbiosis: A Survey of Current Approaches
    Zahra Zahedi, Subbarao Kambhampati
    http://arxiv.org/abs/2103.09990v1

    • [cs.AI]ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
    Zheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas, Shjian Lu, C. V. Jawahar
    http://arxiv.org/abs/2103.10213v1

    • [cs.AI]MILP for the Multi-objective VM Reassignment Problem
    Takfarinas Saber, Anthony Ventresque, Joao Marques-Silva, James Thorburn, Liam Murphy
    http://arxiv.org/abs/2103.10410v1

    • [cs.AI]Situated Language Learning via Interactive Narratives
    Prithviraj Ammanabrolu, Mark O. Riedl
    http://arxiv.org/abs/2103.09977v1

    • [cs.AI]Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation
    Md Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2103.09903v1

    • [cs.CL]Advancing RNN Transducer Technology for Speech Recognition
    George Saon, Zoltan Tueske, Daniel Bolanos, Brian Kingsbury
    http://arxiv.org/abs/2103.09935v1

    • [cs.CL]All NLP Tasks Are Generation Tasks: A General Pretraining Framework
    Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
    http://arxiv.org/abs/2103.10360v1

    • [cs.CL]Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
    Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2103.10069v1

    • [cs.CL]Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
    Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
    http://arxiv.org/abs/2103.10325v1

    • [cs.CL]Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
    Minh Van Nguyen, Viet Dac Lai, Thien Huu Nguyen
    http://arxiv.org/abs/2103.09330v2

    • [cs.CL]Decomposing and Recomposing Event Structure
    William Gantt, Lelia Glass, Aaron Steven White
    http://arxiv.org/abs/2103.10387v1

    • [cs.CL]Evaluating Document Coherence Modelling
    Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, Jianzhong Qi
    http://arxiv.org/abs/2103.10133v1

    • [cs.CL]From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters
    Tanja Säily, Eetu Mäkelä, Mika Hämäläinen
    http://arxiv.org/abs/2103.09926v1

    • [cs.CL]GPT Understands, Too
    Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
    http://arxiv.org/abs/2103.10385v1

    • [cs.CL]Graph Convolutional Network for Swahili News Classification
    Alexandros Kastanos, Tyler Martin
    http://arxiv.org/abs/2103.09325v1

    • [cs.CL]Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language
    Hala Mulki, Bilal Ghanem
    http://arxiv.org/abs/2103.10195v1

    • [cs.CL]Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
    Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun
    http://arxiv.org/abs/2103.10013v1

    • [cs.CL]No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
    Maximilian Mozes, Bennett Kleinberg
    http://arxiv.org/abs/2103.09263v1

    • [cs.CL]Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
    Dmytro Kalpakchi, Johan Boye
    http://arxiv.org/abs/2103.10121v1

    • [cs.CL]Refining Neural Networks with Compositional Explanations
    Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
    http://arxiv.org/abs/2103.10415v1

    • [cs.CL]Smoothing and Shrinking the Sparse Seq2Seq Search Space
    Ben Peters, André F. T. Martins
    http://arxiv.org/abs/2103.10291v1

    • [cs.CV]A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation
    Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding
    http://arxiv.org/abs/2103.10178v1

    • [cs.CV]Challenges of 3D Surface Reconstruction in Capsule Endoscopy
    Olivier Rukundo
    http://arxiv.org/abs/2103.10390v1

    • [cs.CV]CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
    Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar
    http://arxiv.org/abs/2103.09957v1

    • [cs.CV]Collective Decision of One-vs-Rest Networks for Open Set Recognition
    Jaeyeon Jang, Chang Ouk Kim
    http://arxiv.org/abs/2103.10230v1

    • [cs.CV]Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence
    Muhammad Alrabeiah, Umut Demirhan, Andrew Hredzak, Ahmed Alkhateeb
    http://arxiv.org/abs/2103.10419v1

    • [cs.CV]Consistency-based Active Learning for Object Detection
    Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen
    http://arxiv.org/abs/2103.10374v1

    • [cs.CV]Danish Fungi 2020 — Not Just Another Image Recognition Dataset
    Lukáš Picek, Milan Šulc, Jiří Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Thomas Læssøe, Tobias Frøslev
    http://arxiv.org/abs/2103.10107v1

    • [cs.CV]Decoupled Spatial Temporal Graphs for Generic Visual Grounding
    Qianyu Feng, Yunchao Wei, Mingming Cheng, Yi Yang
    http://arxiv.org/abs/2103.10191v1

    • [cs.CV]Deep Online Correction for Monocular Visual Odometry
    Jiaxin Zhang, Wei Sui, Xinggang Wang, Wenming Meng, Hongmei Zhu, Qian Zhang
    http://arxiv.org/abs/2103.10029v1

    • [cs.CV]Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
    Jiangxin Dong, Stefan Roth, Bernt Schiele
    http://arxiv.org/abs/2103.09962v1

    • [cs.CV]Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
    Yuxin Tian, Jinyu MIao, Xingming Wu, Haosong Yue, Zhong Liu, Weihai Chen
    http://arxiv.org/abs/2103.10023v1

    • [cs.CV]Efficient Algorithms for Rotation Averaging Problems
    Yihong Dong, Lunchen Xie, Qingjiang Shi
    http://arxiv.org/abs/2103.10024v1

    • [cs.CV]Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training
    Saurabh Sahu, Palash Goyal
    http://arxiv.org/abs/2103.10043v1

    • [cs.CV]Equivariant Filters for Efficient Tracking in 3D Imaging
    Daniel Moyer, Esra Abaci Turk, P Ellen Grant, William M. Wells, Polina Golland
    http://arxiv.org/abs/2103.10255v1

    • [cs.CV]Fast and High-Quality Blind Multi-Spectral Image Pansharpening
    Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos
    http://arxiv.org/abs/2103.09943v1

    • [cs.CV]FastNeRF: High-Fidelity Neural Rendering at 200FPS
    Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin
    http://arxiv.org/abs/2103.10380v1

    • [cs.CV]Future Frame Prediction for Robot-assisted Surgery
    Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng
    http://arxiv.org/abs/2103.10308v1

    • [cs.CV]Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
    Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li
    http://arxiv.org/abs/2103.10022v1

    • [cs.CV]Hierarchical Attention-based Age Estimation and Bias Estimation
    Shakediel Hiba, Yosi Keller
    http://arxiv.org/abs/2103.09882v1

    • [cs.CV]Higher Performance Visual Tracking with Dual-Modal Localization
    Jinghao Zhou, Bo Li, Lei Qiao, Peng Wang, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2103.10089v1

    • [cs.CV]Impact of Facial Tattoos and Paintings on Face Recognition Systems
    Mathias Ibsen, Christian Rathgeb, Thomas Fink, Pawel Drozdowski, Christoph Busch
    http://arxiv.org/abs/2103.09939v1

    • [cs.CV]Impressions2Font: Generating Fonts by Specifying Impressions
    Seiya Matsuda, Akisato Kimura, Seiichi Uchida
    http://arxiv.org/abs/2103.10036v1

    • [cs.CV]Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
    Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao
    http://arxiv.org/abs/2103.10339v1

    • [cs.CV]KoDF: A Large-scale Korean DeepFake Detection Dataset
    Patrick Kwon, Jaeseong You, Gyuhyeon Nam, Sungwoo Park, Gyeongsu Chae
    http://arxiv.org/abs/2103.10094v1

    • [cs.CV]Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
    Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I Chang, Yan Xu
    http://arxiv.org/abs/2103.10428v1

    • [cs.CV]Learning Multimodal Affinities for Textual Editing in Images
    Or Perel, Oron Anschel, Omri Ben-Eliezer, Shai Mazor, Hadar Averbuch-Elor
    http://arxiv.org/abs/2103.10139v1

    • [cs.CV]Learning to Amend Facial Expression Representation via De-albino and Affinity
    Jiawei Shi, Songhao Zhu
    http://arxiv.org/abs/2103.10189v1

    • [cs.CV]Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
    Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao
    http://arxiv.org/abs/2103.10391v1

    • [cs.CV]Learning to Resize Images for Computer Vision Tasks
    Hossein Talebi, Peyman Milanfar
    http://arxiv.org/abs/2103.09950v1

    • [cs.CV]Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces
    Yubo Zhang, Shuxian Wang, Ruibin Ma, Sarah K. McGill, Julian G. Rosenman, Stephen M. Pizer
    http://arxiv.org/abs/2103.10310v1

    • [cs.CV]Machine Vision based Sample-Tube Localization for Mars Sample Return
    Shreyansh Daftry, Barry Ridge, William Seto, Tu-Hoa Pham, Peter Ilhardt, Gerard Maggiolino, Mark Van der Merwe, Alex Brinkman, John Mayo, Eric Kulczyski, Renaud Detry
    http://arxiv.org/abs/2103.09942v1

    • [cs.CV]Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
    Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander Hauptmann
    http://arxiv.org/abs/2103.08849v2

    • [cs.CV]Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
    Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
    http://arxiv.org/abs/2103.10429v1

    • [cs.CV]OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation
    Bruno Artacho, Andreas Savakis
    http://arxiv.org/abs/2103.10180v1

    • [cs.CV]On Semantic Similarity in Video Retrieval
    Michael Wray, Hazel Doughty, Dima Damen
    http://arxiv.org/abs/2103.10095v1

    • [cs.CV]Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser
    Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo
    http://arxiv.org/abs/2103.10234v1

    • [cs.CV]RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
    Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
    http://arxiv.org/abs/2103.10039v1

    • [cs.CV]Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN
    Tajwar Abrar Aleef, Ingrid T. Spadinger, Michael D. Peacock, Septimiu E. Salcudean, S. Sara Mahdavi
    http://arxiv.org/abs/2103.09996v1

    • [cs.CV]Real-Time Visual Object Tracking via Few-Shot Learning
    Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2103.10130v1

    • [cs.CV]Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus
    Isaac D. Gerg, Vishal Monga
    http://arxiv.org/abs/2103.10312v1

    • [cs.CV]Rev
    948
    isiting the Loss Weight Adjustment in Object Detection
    Wenxin Yu, Bin Hu, Yucheng Hu, Tianxiang Lan, Yuanfan You, Dong Yin
    http://arxiv.org/abs/2103.09488v2

    • [cs.CV]Robust Vision-Based Cheat Detection in Competitive Gaming
    Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim
    http://arxiv.org/abs/2103.10031v1

    • [cs.CV]SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
    Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Chen
    http://arxiv.org/abs/2103.10284v1

    • [cs.CV]Self-Supervised Adaptation for Video Super-Resolution
    Jinsu Yoo, Tae Hyun Kim
    http://arxiv.org/abs/2103.10081v1

    • [cs.CV]Sequential End-to-end Network for Efficient Person Search
    Zhengjia Li, Duoqian Miao
    http://arxiv.org/abs/2103.10148v1

    • [cs.CV]Similarity Transfer for Knowledge Distillation
    Haoran Zhao, Kun Gong, Xin Sun, Junyu Dong, Hui Yu
    http://arxiv.org/abs/2103.10047v1

    • [cs.CV]Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
    Mandela Patrick, Yuki M. Asano, Bernie Huang, Ishan Misra, Florian Metze, Joao Henriques, Andrea Vedaldi
    http://arxiv.org/abs/2103.10211v1

    • [cs.CV]SparsePoint: Fully End-to-End Sparse 3D Object Detector
    Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai
    http://arxiv.org/abs/2103.10042v1

    • [cs.CV]Spatio-temporal Crop Classification On Volumetric Data
    Muhammad Usman Qadeer, Salar Saeed, Murtaza Taj, Abubakr Muhammad
    http://arxiv.org/abs/2103.10050v1

    • [cs.CV]Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning
    Maximilian Schambach, Jiayang Shi, Michael Heizmann
    http://arxiv.org/abs/2103.10179v1

    • [cs.CV]TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
    Hao Chen, Xiaohua Li, Jiliu Zhou
    http://arxiv.org/abs/2103.10084v1

    • [cs.CV]The Case for High-Accuracy Classification: Think Small, Think Many!
    Mohammad Hosseini, Mahmudul Hasan
    http://arxiv.org/abs/2103.10350v1

    • [cs.CV]The Untapped Potential of Off-the-Shelf Convolutional Neural Networks
    Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen
    http://arxiv.org/abs/2103.09891v1

    • [cs.CV]Topology-Aware Segmentation Using Discrete Morse Theory
    Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen
    http://arxiv.org/abs/2103.09992v1

    • [cs.CV]TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
    Samuel G. Müller, Frank Hutter
    http://arxiv.org/abs/2103.10158v1

    • [cs.CV]Using latent space regression to analyze and leverage compositionality in GANs
    Lucy Chai, Jonas Wulff, Phillip Isola
    http://arxiv.org/abs/2103.10426v1

    • [cs.CV]Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
    Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun
    http://arxiv.org/abs/2103.10091v1

    • [cs.CY]Exploring the Drivers and Barriers to Uptake for Digital Contact Tracing
    Andrew Tzer-Yeu Chen, Kimberly Thio
    http://arxiv.org/abs/2103.10113v1

    • [cs.CY]Optimal soil sampling design based on the maxvol algorithm
    Anna Petrovskaia, Gleb Ryzhakov, Ivan Oseledets
    http://arxiv.org/abs/2103.10337v1

    • [cs.DC]An Efficient Vectorization Scheme for Stencil Computation
    Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue, Hang Cao, Pengqi Lu
    http://arxiv.org/abs/2103.08825v2

    • [cs.DC]Autotuning Benchmarking Techniques: A Roofline Model Case Study
    Jacob Odgård Tørring, Jan Christian Meyer, Anne C. Elster
    http://arxiv.org/abs/2103.08716v2

    • [cs.DC]Computing Parameterized Invariants of Parameterized Petri Nets
    Javier Esparza, Mikhail Raskin, Christoph Welzel
    http://arxiv.org/abs/2103.10280v1

    • [cs.DC]Enhanced AGCM3D: A Highly Scalable Dynamical Core of Atmospheric General Circulation Model Based on Leap-Format
    Hang Cao, Liang Yuan, He Zhang, Yunquan Zhang
    http://arxiv.org/abs/2103.10114v1

    • [cs.DC]Fast Consensus via the Unconstrained Undecided State Dynamics
    Gregor Bankhamer, Petra Berenbrink, Felix Biermeier, Robert Elsässer, Hamed Hosseinpour, Dominik Kaaser, Peter Kling
    http://arxiv.org/abs/2103.10366v1

    • [cs.DC]Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile
    Can Gencer, Marko Topolnik, Viliam Ďurina, Emin Demirci, Ensar B. Kahveci, Ali Gürbüz Ondřej Lukáš, József Bartók, Grzegorz Gierlach, František Hartman, Ufuk Yılmaz, Mehmet Doğan, Mohamed Mandouh, Marios Fragkoulis, Asterios Katsifodimos
    http://arxiv.org/abs/2103.10169v1

    • [cs.DC]Porting a sparse linear algebra math library to Intel GPUs
    Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
    http://arxiv.org/abs/2103.10116v1

    • [cs.IR]IRLI: Iterative Re-partitioning for Learning to Index
    Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J Smola
    http://arxiv.org/abs/2103.09944v1

    • [cs.IT]A Soft-Aided Staircase Decoder Using Three-Level Channel Reliabilities
    Yi Lei, Bin Chen, Gabriele Liga, Alexios Balatsoukas-Stimming, Kaixuan Sun, Alex Alvarado
    http://arxiv.org/abs/2103.09991v1

    • [cs.IT]Analyzing Uplink Grant-free Sparse Code Multiple Access System in Massive IoT Networks
    Ke Lai, Jing Lei, Yansha Deng, Lei Wen, Gaojie Chen
    http://arxiv.org/abs/2103.10241v1

    • [cs.IT]Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel
    Qurrat-Ul-Ain Nadeem, Alessio Zappone, Anas Chaaban
    http://arxiv.org/abs/2103.09898v1

    • [cs.IT]Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform Random Demands
    Yong Deng, Min Dong
    http://arxiv.org/abs/2103.09925v1

    • [cs.IT]Multiple Access Channel Resolvability Codes from Source Resolvability Codes
    Rumia Sultana, Remi A. Chou
    http://arxiv.org/abs/2103.10430v1

    • [cs.IT]On the Characterizations of OTFS Modulation over multipath Rapid Fading Channel
    Haoyan Liu, Yanming Liu, Min Yang
    http://arxiv.org/abs/2103.10199v1

    • [cs.IT]Some Generic Constructions of Generalized Plateaued Functions
    Jiaxin Wang, Fang-Wei Fu
    http://arxiv.org/abs/2103.10071v1

    • [cs.LG]A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
    Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, Mehdi Bennis
    http://arxiv.org/abs/2103.10346v1

    • [cs.LG]A Survey on Spatio-temporal Data Analytics Systems
    Md Mahbub Alam, Luis Torgo, Albert Bifet
    http://arxiv.org/abs/2103.09883v1

    • [cs.LG]A deep learning theory for neural networks grounded in physics
    Benjamin Scellier
    http://arxiv.org/abs/2103.09985v1

    • [cs.LG]Approximation for Probability Distributions by Wasserstein GAN
    Yihang Gao, Michael K. Ng
    http://arxiv.org/abs/2103.10060v1

    • [cs.LG]Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules
    Jeffrey Cheng, Ari Benjamin, Benjamin Lansdell, Konrad Paul Kordin
    http://arxiv.org/abs/2103.10252v1

    • [cs.LG]Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
    Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez
    http://arxiv.org/abs/2103.10226v1

    • [cs.LG]Bias-Free FedGAN
    Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
    http://arxiv.org/abs/2103.09876v1

    • [cs.LG]Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge
    Ashish Rana, Avleen Malhi
    http://arxiv.org/abs/2103.10245v1

    • [cs.LG]Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
    Nathan Inkawhich, Kevin J Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
    http://arxiv.org/abs/2103.09916v1

    • [cs.LG]ChronoR: Rotation Based Temporal Knowledge Graph Embedding
    Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang
    http://arxiv.org/abs/2103.10379v1

    • [cs.LG]Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
    Sebastian Curi, Ilija Bogunovic, Andreas Krause
    http://arxiv.org/abs/2103.10369v1

    • [cs.LG]Data-Driven Wireless Communication Using Gaussian Processes
    Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui
    http://arxiv.org/abs/2103.10134v1

    • [cs.LG]Data-free mixed-precision quantization using novel sensitivity metric
    Donghyun Lee, Minkyoung Cho, Seungwon Lee, Joonho Song, Changkyu Choi
    http://arxiv.org/abs/2103.10051v1

    • [cs.LG]Decision Theoretic Bootstrapping
    Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid, Houman Owhadi
    http://arxiv.org/abs/2103.09982v1

    • [cs.LG]Domain Generalization using Ensemble Learning
    Yusuf Mesbah, Youssef Youssry Ibrahim, Adil Mehood Khan
    http://arxiv.org/abs/2103.10257v1

    • [cs.LG]Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
    Gabriel D. Cantareira, Rodrigo F. Mello, Fernando V. Paulovich
    http://arxiv.org/abs/2103.10229v1

    • [cs.LG]Homomorphically Encrypted Linear Contextual Bandit
    Evrard Garcelon, Vianney Perchet, Matteo Pirotta
    http://arxiv.org/abs/2103.09927v1

    • [cs.LG]Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
    Lin Chen, Bruno Scherrer, Peter L. Bartlett
    http://arxiv.org/abs/2103.09847v1

    • [cs.LG]Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence
    Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng
    http://arxiv.org/abs/2103.10290v1

    • [cs.LG]Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
    Carlos Ansotegui, Meinolf Sellmann, Tapan Shah, Kevin Tierney
    http://arxiv.org/abs/2103.10321v1

    • [cs.LG]Learning to Schedule Heuristics in Branch-and-Bound
    Antonia Chmiela, Elias B. Khalil, Ambros Gleixner, Andrea Lodi, Sebastian Pokutta
    http://arxiv.org/abs/2103.10294v1

    • [cs.LG]Lossless compression with state space models using bits back coding
    James Townsend, Iain Murray
    http://arxiv.org/abs/2103.10150v1

    • [cs.LG]MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels
    Pablo Gómez, Gabriele Meoni
    http://arxiv.org/abs/2103.10368v1

    • [cs.LG]Maximum Entropy Reinforcement Learning with Mixture Policies
    Nir Baram, Guy Tennenholtz, Shie Mannor
    http://arxiv.org/abs/2103.10176v1

    • [cs.LG]Modeling the Second Player in Distributionally Robust Optimization
    Paul Michel, Tatsunori Hashimoto, Graham Neubig
    http://arxiv.org/abs/2103.10282v1

    • [cs.LG]Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
    Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
    http://arxiv.org/abs/2103.10367v1

    • [cs.LG]Optimal transport framework for efficient prototype selection
    Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
    http://arxiv.org/abs/2103.10159v1

    • [cs.LG]Requirement Engineering Challenges for AI-intense Systems Development
    Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Erikssonz, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal
    http://arxiv.org/abs/2103.10270v1

    • [cs.LG]Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences
    Matthew B. A. McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik
    http://arxiv.org/abs/2103.10334v1

    • [cs.LG]Stride and Translation Invariance in CNNs
    Coenraad Mouton, Johannes C. Myburgh, Marelie H. Davel
    http://arxiv.org/abs/2103.10097v1

    • [cs.LG]TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation
    Todd Huster, Emmanuel Ekwedike
    http://arxiv.org/abs/2103.10274v1

    • [cs.LG]The Low-Rank Simplicity Bias in Deep Networks
    Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
    http://arxiv.org/abs/2103.10427v1

    • [cs.LG]Top-m identification for linear bandits
    Clémence Réda, Emilie Kaufmann, Andrée Delahaye-Duriez
    http://arxiv.org/abs/2103.10070v1

    • [cs.LG]Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
    Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma
    http://arxiv.org/abs/2103.09947v1

    • [cs.LG]Value-aware Approximate Attention
    Ankit Gupta, Jonathan Berant
    http://arxiv.org/abs/2103.09857v1

    • [cs.NE]On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials is Best
    Dogan Corus, Andrei Lissovoi, Pietro S. Oliveto, Carsten Witt
    http://arxiv.org/abs/2103.10394v1

    • [cs.NI]Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
    Sergio Martiradonna, Andrea Abrardo, Marco Moretti, Giuseppe Piro, Gennaro Boggia
    http://arxiv.org/abs/2103.10277v1

    • [cs.RO]A Methodology for Approaching the Integration of Complex Robotics Systems Illustrated through a Bi-manual Manipulation Case-Study
    Pavlos Triantafyllou, Rafael Afonso Rodrigues, Sirapoab Chaikunsaeng, Diogo Almeida, Graham Deacon, Jelizaveta Konstantinova, Giuseppe Cotugno
    http://arxiv.org/abs/2103.10242v1

    • [cs.RO]A Quasi-centralized Collision-free Path Planning Approach for Multi-Robot Systems
    Rohith G, Madhu Vadali
    http://arxiv.org/abs/2103.10316v1

    • [cs.RO]AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education
    Tanmay Vilas Samak, Chinmay Vilas Samak, Ming Xie
    http://arxiv.org/abs/2103.10030v1

    • [cs.RO]From Navigation to Racing: Reward Signal Design for Autonomous Racing
    Benjamin Evans, Herman A. Engelbrecht, Hendrik W. Jordaan
    http://arxiv.org/abs/2103.10098v1

    • [cs.RO]Heterogeneous robot teams for modeling and prediction of multiscale environmental processes
    Tahiya Salam, M. Ani Hsieh
    http://arxiv.org/abs/2103.10383v1

    • [cs.RO]Human-Inspired Multi-Agent Navigation using Knowledge Distillation
    Pei Xu, Ioannis Karamouzas
    http://arxiv.org/abs/2103.10000v1

    • [cs.RO]Immersive Operation of a Semi-Autonomous Aerial Platform for Detecting and Mapping Radiation
    P. Dayani, N. Orr, A. Thomopoulos, V. Saran, S. Krishnaswamy, E. Zhang, N. Hu, D. McPherson, J. Menke, A. Yang, K. Vetter
    http://arxiv.org/abs/2103.10057v1

    • [cs.RO]MORE: Simultaneous Multi-View 3D Object Recognition and Pose Estimation
    Tommaso Parisotto, Hamidreza Kasaei
    http://arxiv.org/abs/2103.09863v1

    • [cs.RO]**MS: A New Exact Algorithm for Multi-agent Simultaneous Multi-goal Sequencing and Path Finding
    Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
    http://arxiv.org/abs/2103.09979v1

    • [cs.RO]RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments
    Karnik Ram, Chaitanya Kharyal, Sudarshan S. Harithas, K. Madhava Krishna
    http://arxiv.org/abs/2103.10400v1

    • [cs.RO]Reverse Psychology in Trust-Aware Human-Robot Interaction
    Yaohui Guo, Cong Shi, X. Jessie Yang
    http://arxiv.org/abs/2103.10055v1

    • [cs.RO]S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
    Hengli Wang, Yuxiang Sun, Rui Fan, Ming Liu
    http://arxiv.org/abs/2103.10210v1

    • [cs.RO]You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module
    Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
    http://arxiv.org/abs/2103.09975v1

    • [cs.RO]rduino Controlled Pick n Place RoboticArm
    Masoud Yousefi
    http://arxiv.org/abs/2103.09970v1

    • [cs.SD]Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
    Andrew N Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour
    http://arxiv.org/abs/2103.09879v1

    • [cs.SE]On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
    Omid Gheibi, Danny Weyns, Federico Quin
    http://arxiv.org/abs/2103.10194v1

    • [cs.SE]The impact of using biased performance metrics on software defect prediction research
    Jingxiu Yao, Martin Shepperd
    http://arxiv.org/abs/2103.10201v1

    • [cs.SI]Collaborative Filtering Approach to Link Prediction
    Yan-Li Lee, Tao Zhou
    http://arxiv.org/abs/2103.09907v1

    • [eess.AS]TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain
    Kai Wang, Bengbeng He, Wei-Ping Zhu
    http://arxiv.org/abs/2103.09963v1

    • [eess.IV]COVIDx-US — An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
    Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
    http://arxiv.org/abs/2103.10003v1

    • [eess.IV]Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
    Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee
    http://arxiv.org/abs/2103.10056v1

    • [eess.IV]How I failed machine learning in medical imaging — shortcomings and recommendations
    Gaël Varoquaux, Veronika Cheplygina
    http://arxiv.org/abs/2103.10292v1

    • [eess.IV]Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
    Abderrahim Halimi, Aurora Maccarone, Robert Lamb, Gerald S. Buller, Stephen McLaughlin
    http://arxiv.org/abs/2103.10122v1

    • [eess.SP]Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point
    Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, Michele Rossi
    http://arxiv.org/abs/2103.09924v1

    • [eess.SP]Error Analysis of Douglas-Rachford Algorithm for Linear Inverse Problems: Asymptotics of Proximity Operator for Squared Loss
    Ryo Hayakawa
    http://arxiv.org/abs/2103.10300v1

    • [eess.SP]Probabilistic Simplex Component Analysis
    Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2103.10027v1

    • [math.NA]Phase Retrieval and System Identification in Dynamical Sampling via Prony’s Method
    Robert Beinert, Marzieh Hasannasab
    http://arxiv.org/abs/2103.10086v1

    • [math.ST]Bartlett correction of an independence test in a multivariate Poisson model
    Rolf Larsson
    http://arxiv.org/abs/2103.10058v1

    • [math.ST]Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models
    Karl Oskar Ekvall, Matteo Bottai
    http://arxiv.org/abs/2103.10236v1

    • [math.ST]Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach
    G. Finocchio, A. Derumigny, K. Proksch
    http://arxiv.org/abs/2103.10420v1

    • [physics.comp-ph]Evolutional Deep Neural Network
    Yifan Du, Tamer A. Zaki
    http://arxiv.org/abs/2103.09959v1

    • [physics.data-an]Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
    Florian Rehm, Sofia Vallecorsa, Vikram Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, Kerstin Borras, Dirk Krücker
    http://arxiv.org/abs/2103.10142v1

    • [physics.geo-ph]Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset
    Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes
    http://arxiv.org/abs/2103.10005v1

    • [physics.soc-ph]Vanishing size of critical mass for tipping points in social convention
    Iacopo Iacopini, Giovanni Petri, Andrea Baronchelli, Alain Barrat
    http://arxiv.org/abs/2103.10411v1

    • [q-bio.MN]Impact of the error structure on the design and analysis of enzyme kinetic models
    Elham Yousefi, Werner G. Müller
    http://arxiv.org/abs/2103.09563v1

    • [q-bio.PE]Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach
    Xianhao Chen, Guangyu Zhu, Lan Zhang, Yuguang Fang, Linke Guo, Xinguang Chen
    http://arxiv.org/abs/2103.10012v1

    • [q-bio.PE]Phylogenetic typology
    Gerhard Jäger, Johannes Wahle
    http://arxiv.org/abs/2103.10198v1

    • [q-bio.QM]Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition
    Bernardo B. Gatto, Juan G. Colonna, Eulanda M. dos Santos, Alessandro L. Koerich, Kazuhiro Fukui
    http://arxiv.org/abs/2103.10166v1

    • [q-bio.QM]Outcome-guided Sparse K-means for Disease Subtype Discovery via Integrating Phenotypic Data with High-dimensional Transcriptomic Data
    Lingsong Meng, Dorina Avram, George Tseng, Zhiguang Huo
    http://arxiv.org/abs/2103.09974v1

    • [quant-ph]Lower bound the T-count via unitary stabilizer nullity
    Jiaqing Jiang, Xin Wang
    http://arxiv.org/abs/2103.09999v1

    • [quant-ph]Neural tensor contractions and the expressive power of deep neural quantum states
    Or Sharir, Amnon Shashua, Giuseppe Carleo
    http://arxiv.org/abs/2103.10293v1

    • [stat.AP]Probabilistic Forecasting of Regional Net-load with Conditional Extremes and Gridded NWP
    Jethro Browell, Matteo Fasiolo
    http://arxiv.org/abs/2103.10335v1

    • [stat.ME]A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
    Aaron Osgood-Zimmerman, Jon Wakefield
    http://arxiv.org/abs/2103.09929v1

    • [stat.ME]Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
    Matthew Holden, Marcelo Pereyra, Konstantinos C. Zygalakis
    http://arxiv.org/abs/2103.10182v1

    • [stat.ME]Best estimator for bivariate Poisson regression
    André Gillibert, Jacques Bénichou, Bruno Falissard
    http://arxiv.org/abs/2103.10365v1

    • [stat.ME]Differential analysis in Transcriptomic: The strength of randomly picking ‘reference’ genes
    Dorota Desaulle, Céline Hoffmann, Bernard Hainque, Yves Rozenholc
    http://arxiv.org/abs/2103.09872v1

    • [stat.ME]Generalized infinite factorization models
    Lorenzo Schiavon, Antonio Canale, David B. Dunson
    http://arxiv.org/abs/2103.10333v1

    • [stat.ME]Identification of Underlying Dynamic System from Noisy Data with Splines
    Yujie Zhao, Xiaoming Huo, Yajun Mei
    http://arxiv.org/abs/2103.10231v1

    • [stat.ME]Inference and Computation for Sparsely Sampled Random Surfaces
    Tomas Masak, Tomas Rubin, Victor Panaretos
    http://arxiv.org/abs/2103.10077v1

    • [stat.ME]Sparse multivariate regression with missing values and its application to the prediction of material properties
    Keisuke Teramoto, Kei Hirose
    http://arxiv.org/abs/rg/abs/2103.09619v1

    • [stat.ML]A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
    Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
    http://arxiv.org/abs/2103.10153v1

    • [stat.ML]Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model
    Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen
    http://arxiv.org/abs/2103.09983v1