astro-ph.GA - 星系天体物理学
    astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.CC - 计算复杂度
    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.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.PL - 编程语言
    cs.RO - 机器人学
    cs.SD - 声音处理
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.soc-ph - 物理学与社会
    q-fin.TR - 贸易与市场微观结构
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.GA]Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques
    • [astro-ph.IM]Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
    • [cond-mat.stat-mech]How does homophily shape the topology of a dynamic network?
    • [cs.AI]A Search Engine for Scientific Publications: a Cybersecurity Case Study
    • [cs.AI]A Study of the Quality of Wikidata
    • [cs.AI]Applications of the Free Energy Principle to Machine Learning and Neuroscience
    • [cs.AI]AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding
    • [cs.AI]Classical Planning in Deep Latent Space
    • [cs.AI]Cross-Lingual Adaptation for Type Inference
    • [cs.AI]Differentiable Particle Filters through Conditional Normalizing Flow
    • [cs.AI]GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
    • [cs.AI]Hippocampal Spatial Mapping As Fast Graph Learning
    • [cs.AI]Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
    • [cs.AI]Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
    • [cs.AI]Visualising Argumentation Graphs with Graph Embeddings and t-SNE
    • [cs.CC]Circuit Complexity of Visual Search
    • [cs.CL]All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text
    • [cs.CL]CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
    • [cs.CL]Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
    • [cs.CL]Combining Feature and Instance Attribution to Detect Artifacts
    • [cs.CL]Controllable Open-ended Question Generation with A New Question Type Ontology
    • [cs.CL]Elbert: Fast Albert with Confidence-Window Based Early Exit
    • [cs.CL]Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems
    • [cs.CL]Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
    • [cs.CL]Knowledge Distillation for Quality Estimation
    • [cs.CL]Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
    • [cs.CL]Learning to communicate about shared procedural abstractions
    • [cs.CL]Modeling Target-side Inflection in Placeholder Translation
    • [cs.CL]MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
    • [cs.CL]Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
    • [cs.CL]Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
    • [cs.CL]Regressing Location on Text for Probabilistic Geocoding
    • [cs.CL]Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
    • [cs.CL]Scientia Potentia Est — On the Role of Knowledge in Computational Argumentation
    • [cs.CL]The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021
    • [cs.CL]What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
    • [cs.CL]Word-Free Spoken Language Understanding for Mandarin-Chinese
    • [cs.CL]Zero-pronoun Data Augmentation for Japanese-to-English Translation
    • [cs.CL]Zipf’s laws of meaning in Catalan
    • [cs.CV]3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets
    • [cs.CV]A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images
    • [cs.CV]Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition
    • [cs.CV]Attention Bottlenecks for Multimodal Fusion
    • [cs.CV]AutoFormer: Searching Transformers for Visual Recognition
    • [cs.CV]CBNetV2: A Composite Backbone Network Architecture for Object Detection
    • [cs.CV]CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
    • [cs.CV]CLIP-It! Language-Guided Video Summarization
    • [cs.CV]CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
    • [cs.CV]DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
    • [cs.CV]Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data
    • [cs.CV]Deep auxiliary learning for visual localization using colorization task
    • [cs.CV]Drone swarm patrolling with uneven coverage requirements
    • [cs.CV]E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
    • [cs.CV]Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring
    • [cs.CV]End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
    • [cs.CV]Extraction of Key-frames of Endoscopic Videos by using Depth Information
    • [cs.CV]Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
    • [cs.CV]Few-Shot Learning with a Strong Teacher
    • [cs.CV]Focal Self-attention for Local-Global Interactions in Vision Transformers
    • [cs.CV]Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
    • [cs.CV]Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)
    • [cs.CV]Global Filter Networks for Image Classification
    • [cs.CV]Improving Task Adaptation for Cross-domain Few-shot Learning
    • [cs.CV]Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images
    • [cs.CV]Inter Extreme Points Geodesics for Weakly Supervised Segmentation
    • [cs.CV]Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
    • [cs.CV]MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
    • [cs.CV]MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
    • [cs.CV]MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
    • [cs.CV]Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
    • [cs.CV]OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
    • [cs.CV]On the Practicality of Deterministic Epistemic Uncertainty
    • [cs.CV]On the detection-to-track association for online multi-object tracking
    • [cs.CV]One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
    • [cs.CV]Orthonormal Product Quantization Network for Scalable Face Image Retrieval
    • [cs.CV]Overhead-MNIST: Machine Learning Baselines for Image Classification
    • [cs.CV]PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
    • [cs.CV]SSC: Semantic Scan Context for Large-Scale Place Recognition
    • [cs.CV]Segmenting 3D Hybrid Scenes via Zero-Shot Learning
    • [cs.CV]Semi-Sparsity for Smoothing Filters
    • [cs.CV]Simple Training Strategies and Model Scaling for Object Detection
    • [cs.CV]Towards Measuring Bias in Image Classification
    • [cs.CV]VideoLightFormer: Lightweight Action Recognition using Transformers
    • [cs.CV]iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
    • [cs.CY]Modelling Moral Traits with Music Listening Preferences and Demographics
    • [cs.CY]Towards a fairer reimbursement system for burn patients using cost-sensitive classification
    • [cs.CY]When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators
    • [cs.DC]A Blockchain-based Carbon Credit Ecosystem
    • [cs.DC]A Fair Method for Distributing Collective Assets in the Stellar Blockchain Financial Network
    • [cs.DC]Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
    • [cs.DC]MIND: In-Network Memory Management for Disaggregated Data Centers
    • [cs.DC]On the (Non-)Applicability of a Small Model Theorem to Model Checking STMs
    • [cs.DC]Parallel Graph Coloring Algorithms for Distributed GPU Environments
    • [cs.DC]Scrooge Attack: Undervolting ARM Processors for Profit
    • [cs.DC]Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications
    • [cs.DL]Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertatio
    1000
    ns
    • [cs.DL]Proof of Reference(PoR): A unified informetrics based consensus mechanism
    • [cs.DS]Backtracking (the) Algorithms on the Hamiltonian Cycle Problem
    • [cs.DS]Evidence for Long-Tails in SLS Algorithms
    • [cs.GR]Learning-based pose edition for efficient and interactive design
    • [cs.HC]If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot
    • [cs.IR]Embedding-based Recommender System for Job to Candidate Matching on Scale
    • [cs.IR]SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
    • [cs.IR]The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems
    • [cs.IT]A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
    • [cs.IT]A New Algorithm for Equivalence of Cyclic Codes and Its Applications
    • [cs.IT]Coded Caching with Shared Caches from Generalized Placement Delivery Arrays
    • [cs.IT]Data Deduplication with Random Substitutions
    • [cs.IT]Multi-Access Coded Caching with Demand Privacy
    • [cs.IT]Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning
    • [cs.IT]Secretive Coded Caching from PDAs
    • [cs.IT]Secretive Coded Caching with Shared Caches
    • [cs.LG]A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
    • [cs.LG]A Survey on Graph-Based Deep Learning for Computational Histopathology
    • [cs.LG]AdaXpert: Adapting Neural Architecture for Growing Data
    • [cs.LG]Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
    • [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    • [cs.LG]Boosting Certified 今日学术视野(2021.7.3) - 图1 Robustness with EMA Method and Ensemble Model
    • [cs.LG]ControlBurn: Feature Selection by Sparse Forests
    • [cs.LG]Dep-今日学术视野(2021.7.3) - 图2: Improving 今日学术视野(2021.7.3) - 图3-based Network Sparsification via Dependency Modeling
    • [cs.LG]Dep-今日学术视野(2021.7.3) - 图4: Improving 今日学术视野(2021.7.3) - 图5-based Network Sparsification via Dependency Modeling
    • [cs.LG]Fast Margin Maximization via Dual Acceleration
    • [cs.LG]FedMix: Approximation of Mixup under Mean Augmented Federated Learning
    • [cs.LG]Generalization and Robustness Implications in Object-Centric Learning
    • [cs.LG]Global Knowledge Distillation in Federated Learning
    • [cs.LG]Goal-Conditioned Reinforcement Learning with Imagined Subgoals
    • [cs.LG]Impact Remediation: Optimal Interventions to Reduce Inequality
    • [cs.LG]Implicit Acceleration and Feature Learning inInfinitely Wide Neural Networks with Bottlenecks
    • [cs.LG]Improving black-box optimization in VAE latent space using decoder uncertainty
    • [cs.LG]Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
    • [cs.LG]MHER: Model-based Hindsight Experience Replay
    • [cs.LG]Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics
    • [cs.LG]Mandoline: Model Evaluation under Distribution Shift
    • [cs.LG]Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow
    • [cs.LG]Multi-modal Graph Learning for Disease Prediction
    • [cs.LG]Neural Network Training with Highly Incomplete Datasets
    • [cs.LG]Online learning of windmill time series using Long Short-term Cognitive Networks
    • [cs.LG]PSD Representations for Effective Probability Models
    • [cs.LG]Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations
    • [cs.LG]Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning
    • [cs.LG]Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
    • [cs.LG]Robust Coreset for Continuous-and-Bounded Learning (with Outliers)
    • [cs.LG]Robust Generative Adversarial Imitation Learning via Local Lipschitzness
    • [cs.LG]Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
    • [cs.LG]Scalable Certified Segmentation via Randomized Smoothing
    • [cs.LG]Secure Quantized Training for Deep Learning
    • [cs.LG]Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
    • [cs.LG]Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
    • [cs.LG]The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification
    • [cs.LG]Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
    • [cs.LG]Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples
    • [cs.LG]Using AntiPatterns to avoid MLOps Mistakes
    • [cs.LG]Variational Diffusion Models
    • [cs.LG]Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions
    • [cs.LO]Computing CQ lower-bounds over OWL 2 through approximation to RSA
    • [cs.MA]Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution
    • [cs.MA]SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
    • [cs.NE]CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
    • [cs.PL]Productivity, Portability, Performance: Data-Centric Python
    • [cs.RO]Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models
    • [cs.RO]Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry
    • [cs.RO]Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA
    • [cs.RO]Design, Modelling and Control of SPIROS: The Six Propellers and Intermeshing Rotors Based Omnidirectional Spherical Robot
    • [cs.RO]Improving Human Motion Prediction Through Continual Learning
    • [cs.RO]Learning to See before Learning to Act: Visual Pre-training for Manipulation
    • [cs.RO]Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
    • [cs.RO]Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
    • [cs.RO]PlanSys2: A Planning System Framework for ROS2
    • [cs.RO]Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
    • [cs.RO]Robotic Template Library
    • [cs.RO]SQRP: Sensing Quality-aware Robot Programming System for Non-expert Programmers
    • [cs.RO]Social Coordination and Altruism in Autonomous Driving
    • [cs.RO]Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator
    • [cs.RO]Test Framework for a Virtual Competition Testbed
    • [cs.RO]TransSC: Transformer-based Shape Completion for Grasp Evaluation
    • [cs.SD]An Objective Evaluation Framework for Pathological Speech Synthesis
    • [cs.SD]Audiovisual Singing Voice Separation
    • [cs.SD]Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
    • [cs.SD]Spotting adversarial samples for speaker verification by neural vocoders
    • [eess.AS]ESPnet-ST IWSLT 2021 Offline Speech Translation System
    • [eess.AS]Pretext Tasks selection for multitask self-supervised speech representation learning
    • [eess.AS]StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR
    • [eess.IV]Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
    • [eess.IV]DivergentNets: Medical Image Segmentation by Network Ensemble
    • [eess.IV]Explainable Diabetic Retinopathy Detection and Retinal Image Generation
    • [eess.IV]Feasibility of Haralick’s Texture Features for the Classification of Chromogenic In-situ Hybridization Images
    • [eess.IV]Lossless Coding of Point Cloud Geometry using a Deep Generative Model
    • [eess.IV]Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
    • [eess.SP]Explainable nonlinear modelling of multiple time series with invertible neural networks
    • [eess.SY]A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications
    • [eess.SY]Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
    • [eess.SY]Machine learning based iterative learning control for non-repetitive time-varying systems
    • [math.OC]Convex Optimization for Parameter Synthesis in MDPs
    • [math.OC]How many samples are needed to reliably approximate the best linear estimator for a linear inverse problem?
    • [math.OC]On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging
    • [math.ST]Behaviour of Familywise Error Rate in Normal Distributions
    • [math.ST]Bounds for the chi-square approximation of the power divergence family of statistics
    • [math.ST]Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
    • [math.ST]Optimal use of auxiliary information : information geometry and empirical process
    • [math.ST]Robust Estimation in Finite Mixture Models
    • [math.ST]Semiparametric estimation of McKean-Vlasov SDEs
    • [math.ST]The geometry of Gaussian double Markovian distributions
    • [physics.comp-ph]Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
    • [physics.soc-ph]Travel Cadence and Epidemic Spread
    • [q-fin.TR]The Limit Order Book Recreation Model (LOBRM): An Extended Analysis
    • [quant-ph]Coherent information of a quantum channel or its complement is generically positive
    • [quant-ph]Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity
    • [stat.AP]A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
    • [stat.AP]Comparison of forecasting of the risk of coronavirus (COVID 19) in high quality and low quality healthcare systems, using ANN models
    • [stat.AP]Managing driving modes in automated driving systems
    • [stat.CO]Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
    • [stat.ME]A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
    • [stat.ME]Adaptive Capped Least Squares
    • [stat.ME]Adaptively Robust Geographically Weighted Regression
    • [stat.ME]Assignment-Control Plots: A Visual Companion for Causal Inference Study Design
    • [stat.ME]Dealing with overdispersion in multivariate count data
    • [stat.ME]Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
    • [stat.ME]Do we need to estimate the variance in robust mean estimation?
    • [stat.ME]Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations
    • [stat.ME]Randomization-only Inference in Experiments with Interference
    • [stat.ME]Root and community inference on the latent growth process of a network using noisy attachment models
    • [stat.ME]Spatial kriging for replicated temporal point processes
    • [stat.ME]The Case against Generally Weighted Moving Average (GWMA) Control Charts
    • [stat.ML]Fixed points of monotonic and (weakly) scalable neural networks
    • [stat.ML]On the Expected Complexity of Maxout Networks
    • [stat.ML]Reparameterized Sampling for Generative Adversarial Networks
    • [stat.ML]Sparse GCA and Thresholded Gradient Descent
    • [stat.ML]Well-calibrated prediction intervals for regression problems

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

    • [astro-ph.GA]Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques
    Viera Maslej-Krešňáková, Khadija El Bouchefry, Peter Butka
    http://arxiv.org/abs/2107.00385v1

    • [astro-ph.IM]Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
    Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis
    http://arxiv.org/abs/2107.00048v1

    • [cond-mat.stat-mech]How does homophily shape the topology of a dynamic network?
    Xiang Li, Mauro Mobilia, Alastair M. Rucklidge, R. K. P. Zia
    http://arxiv.org/abs/2106.15963v1

    • [cs.AI]A Search Engine for Scientific Publications: a Cybersecurity Case Study
    Nuno Oliveira, Norberto Sousa, Isabel Praça
    http://arxiv.org/abs/2107.00082v1

    • [cs.AI]A Study of the Quality of Wikidata
    Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro Szekely
    http://arxiv.org/abs/2107.00156v1

    • [cs.AI]Applications of the Free Energy Principle to Machine Learning and Neuroscience
    Beren Millidge
    http://arxiv.org/abs/2107.00140v1

    • [cs.AI]AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding
    Yongqi Zhang, Zhanke Zhou, Quanming Yao
    http://arxiv.org/abs/2107.00184v1

    • [cs.AI]Classical Planning in Deep Latent Space
    Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
    http://arxiv.org/abs/2107.00110v1

    • [cs.AI]Cross-Lingual Adaptation for Type Inference
    Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu
    http://arxiv.org/abs/2107.00157v1

    • [cs.AI]Differentiable Particle Filters through Conditional Normalizing Flow
    Xiongjie Chen, Hao Wen, Yunpeng Li
    http://arxiv.org/abs/2107.00488v1

    • [cs.AI]GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph
    Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma
    http://arxiv.org/abs/2107.00395v1

    • [cs.AI]Hippocampal Spatial Mapping As Fast Graph Learning
    Marcus Lewis
    http://arxiv.org/abs/2107.00567v1

    • [cs.AI]Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
    Qiwei Zhong, Guanxiong Zeng, Danqing Zhu, Yang Zhang, Wangli Lin, Ben Chen, Jiayu Tang
    http://arxiv.org/abs/2107.00316v1

    • [cs.AI]Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
    Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
    http://arxiv.org/abs/2107.00317v1

    • [cs.AI]Visualising Argumentation Graphs with Graph Embeddings and t-SNE
    Lars Malmqvist, Tommy Yuan, Suresh Manandhar
    http://arxiv.org/abs/2107.00528v1

    • [cs.CC]Circuit Complexity of Visual Search
    Kei Uchizawa, Haruki Abe
    http://arxiv.org/abs/2107.00223v1

    • [cs.CL]All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text
    Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith
    http://arxiv.org/abs/2107.00061v1

    • [cs.CL]CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
    Dong Wang, Ning Ding, Piji Li, Hai-Tao Zheng
    http://arxiv.org/abs/2107.00440v1

    • [cs.CL]Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
    Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu
    http://arxiv.org/abs/2107.00189v1

    • [cs.CL]Combining Feature and Instance Attribution to Detect Artifacts
    Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
    http://arxiv.org/abs/2107.00323v1

    • [cs.CL]Controllable Open-ended Question Generation with A New Question Type Ontology
    Shuyang Cao, Lu Wang
    http://arxiv.org/abs/2107.00152v1

    • [cs.CL]Elbert: Fast Albert with Confidence-Window Based Early Exit
    Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang
    http://arxiv.org/abs/2107.00175v1

    • [cs.CL]Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems
    Razieh Baradaran, Hossein Amirkhani
    http://arxiv.org/abs/2107.00368v1

    • [cs.CL]Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
    Neeraj Varshney, Swaroop Mishra, Chitta Baral
    http://arxiv.org/abs/2107.00315v1

    • [cs.CL]Knowledge Distillation for Quality Estimation
    Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia
    http://arxiv.org/abs/2107.00411v1

    • [cs.CL]Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
    Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
    http://arxiv.org/abs/2107.00124v1

    • [cs.CL]Learning to communicate about shared procedural abstractions
    William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan
    http://arxiv.org/abs/2107.00077v1

    • [cs.CL]Modeling Target-side Inflection in Placeholder Translation
    Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka
    http://arxiv.org/abs/2107.00334v1

    • [cs.CL]MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
    Anne Lauscher, Brandon Ko, Bailey Kuhl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo
    http://arxiv.org/abs/2107.00414v1

    • [cs.CL]Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets
    Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver, German Rigau
    http://arxiv.org/abs/2107.00333v1

    • [cs.CL]Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
    Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha
    http://arxiv.org/abs/2107.00596v1

    • [cs.CL]Regressing Location on Text for Probabilistic Geocoding
    Benjamin J. Radford
    http://arxiv.org/abs/2107.00080v1

    • [cs.CL]Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
    Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman
    http://arxiv.org/abs/2107.00176v1

    • [cs.CL]Scientia Potentia Est — On the Role of Knowledge in Computational Argumentation
    Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavaš
    http://arxiv.org/abs/2107.00281v1

    • [cs.CL]The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021
    Dan Liu, Mengge Du, Xiaoxi Li, Yuchen Hu, Lirong Dai
    http://arxiv.org/abs/2107.00279v1

    • [cs.CL]What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
    Shammur Absar Chowdhury, Nadir Durrani, Ahmed Ali
    http://arxiv.org/abs/2107.00439v1

    • [cs.CL]Word-Free Spoken Language Understanding for Mandarin-Chinese
    Zhiyuan Guo, Yuexin Li, Guo Chen, Xingyu Chen, Akshat Gupta
    http://arxiv.org/abs/2107.00186v1

    • [cs.CL]Zero-pronoun Data Augmentation for Japanese-to-English Translation
    Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka
    http://arxiv.org/abs/2107.00318v1

    • [cs.CL]Zipf’s laws of meaning in Catalan
    Neus Català, Jaume Baixeries, Ramon Ferrer-Cancho, Lluís Padró, Antoni Hernández-Fernández
    http://arxiv.org/abs/2107.00042v1

    • [cs.CV]3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets
    Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann
    http://arxiv.org/abs/2107.00590v1

    • [cs.CV]A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images
    Xiao Ling, Xu Huang, Rongjun Qin
    http://arxiv.org/abs/2107.00598v1

    • [cs.CV]Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition
    Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge
    http://arxiv.org/abs/2107.00606v1

    • [cs.CV]Attention Bottlenecks for Multimodal Fusion
    Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun
    http://arxiv.org/abs/2107.00135v1

    • [cs.CV]AutoFormer: Searching Transformers for Visual Recognition
    Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling
    http://arxiv.org/abs/2107.00651v1

    • [cs.CV]CBNetV2: A Composite Backbone Network Architecture for Object Detection
    Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibing Ling
    http://arxiv.org/abs/2107.00420v1

    • [cs.CV]CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
    Ankit Singh
    http://arxiv.org/abs/2107.00085v1

    • [cs.CV]CLIP-It! Language-Guided Video Summarization
    Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
    http://arxiv.org/abs/2107.00650v1

    • [cs.CV]CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
    Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo
    http://arxiv.org/abs/2107.00652v1

    • [cs.CV]DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
    Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
    http://arxiv.org/abs/2107.00415v1

    • [cs.CV]Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data
    Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman
    http://arxiv.org/abs/2107.00648v1

    • [cs.CV]Deep auxiliary learning for visual localization using colorization task
    Mi Tian, Qiong Nie, Hao Shen, Xiahua Xia
    http://arxiv.org/abs/2107.00222v1

    • [cs.CV]Drone swarm patrolling with uneven coverage requirements
    Claudio Piciarelli, Gian Luca Foresti
    http://arxiv.org/abs/2107.00362v1

    • [cs.CV]E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
    Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou
    http://arxiv.org/abs/2107.00229v1

    • [cs.CV]Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring
    Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Modou L. Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo
    http://arxiv.org/abs/2107.00372v1

    • [cs.CV]End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
    Shurun Wang, Zhao Wang, Shiqi Wang, Yan Ye
    http://arxiv.org/abs/2107.00328v1

    • [cs.CV]Extraction of Key-frames of Endoscopic Videos by using Depth Information
    Pradipta Sasmal, Avinash Paul, M. K. Bhuyan, Yuji Iwahori
    http://arxiv.org/abs/2107.00005v1

    • [cs.CV]Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
    Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
    http://arxiv.org/abs/2107.00067v1

    • [cs.CV]Few-Shot Learning with a Strong Teacher
    Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
    http://arxiv.org/abs/2107.00197v1

    • [cs.CV]Focal Self-attention for Local-Global Interactions in Vision Transformers
    Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
    http://arxiv.org/abs/2107.00641v1

    • [cs.CV]Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
    Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan T. Morris
    http://arxiv.org/abs/2107.00422v1

    • [cs.CV]Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)
    Dexiang Hong, Congcong Li, Longyin Wen, Xinyao Wang, Libo Zhang
    http://arxiv.org/abs/2107.00239v1

    • [cs.CV]Global Filter Networks for Image Classification
    Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2107.00645v1

    • [cs.CV]Improving Task Adaptation for Cross-domain Few-shot Learning
    Wei-Hong Li, Xialei Liu, Hakan Bilen
    http://arxiv.org/abs/2107.00358v1

    • [cs.CV]Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images
    Changlin Xiao, Rongjun Qin, Xiao Xie, Xu Huang
    http://arxiv.org/abs/2107.00592v1

    • [cs.CV]Inter Extreme Points Geodesics for Weakly Supervised Segmentation
    Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sebastien Ourselin, Tom Vercauteren
    http://arxiv.org/abs/2107.00583v1

    • [cs.CV]Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
    Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges
    http://arxiv.org/abs/2107.00434v1

    • [cs.CV]MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
    Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreic
    62dc
    h, Christoph Stiller, Rainer Stiefelhagen
    http://arxiv.org/abs/2107.00346v1

    • [cs.CV]MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
    Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin, Natalya Skoryukina, Yulia Chernyshova, Alexander Sheshkus, Sergey Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov
    http://arxiv.org/abs/2107.00396v1

    • [cs.CV]MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
    Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan T. Morris
    http://arxiv.org/abs/2106.16009v2

    • [cs.CV]Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
    Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
    http://arxiv.org/abs/2106.16093v2

    • [cs.CV]OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
    Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Jinqiao Wang, Hanqing Lu
    http://arxiv.org/abs/2107.00249v1

    • [cs.CV]On the Practicality of Deterministic Epistemic Uncertainty
    Janis Postels, Mattia Segu, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari
    http://arxiv.org/abs/2107.00649v1

    • [cs.CV]On the detection-to-track association for online multi-object tracking
    Xufeng Lin, Chang-Tsun Li, Victor Sanchez, Carsten Maple
    http://arxiv.org/abs/2107.00500v1

    • [cs.CV]One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
    Takato Yasuno, Junichiro Fujii, Sakura Fukami
    http://arxiv.org/abs/2107.00143v1

    • [cs.CV]Orthonormal Product Quantization Network for Scalable Face Image Retrieval
    Ming Zhang, Xuefei Zhe, Hong Yan
    http://arxiv.org/abs/2107.00327v1

    • [cs.CV]Overhead-MNIST: Machine Learning Baselines for Image Classification
    Erik Larsen, David Noever, Korey MacVittie, John Lilly
    http://arxiv.org/abs/2107.00436v1

    • [cs.CV]PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
    Chiara Plizzari, Mirco Planamente, Emanuele Alberti, Barbara Caputo
    http://arxiv.org/abs/2107.00337v1

    • [cs.CV]SSC: Semantic Scan Context for Large-Scale Place Recognition
    Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu
    http://arxiv.org/abs/2107.00382v1

    • [cs.CV]Segmenting 3D Hybrid Scenes via Zero-Shot Learning
    Bo Liu, Qiulei Dong, Zhanyi Hu
    http://arxiv.org/abs/2107.00430v1

    • [cs.CV]Semi-Sparsity for Smoothing Filters
    Junqing Huang, Haihui Wang, Xuechao Wang, Michael Ruzhansky
    http://arxiv.org/abs/2107.00627v1

    • [cs.CV]Simple Training Strategies and Model Scaling for Object Detection
    Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin
    http://arxiv.org/abs/2107.00057v1

    • [cs.CV]Towards Measuring Bias in Image Classification
    Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
    http://arxiv.org/abs/2107.00360v1

    • [cs.CV]VideoLightFormer: Lightweight Action Recognition using Transformers
    Raivo Koot, Haiping Lu
    http://arxiv.org/abs/2107.00451v1

    • [cs.CV]iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
    Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhaoz?
    http://arxiv.org/abs/2107.00285v1

    • [cs.CY]Modelling Moral Traits with Music Listening Preferences and Demographics
    Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
    http://arxiv.org/abs/2107.00349v1

    • [cs.CY]Towards a fairer reimbursement system for burn patients using cost-sensitive classification
    Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Ken W. Dunn
    http://arxiv.org/abs/2107.00531v1

    • [cs.CY]When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators
    Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
    http://arxiv.org/abs/2107.00441v1

    • [cs.DC]A Blockchain-based Carbon Credit Ecosystem
    Soheil Saraji, Mike Borowczak
    http://arxiv.org/abs/2107.00185v1

    • [cs.DC]A Fair Method for Distributing Collective Assets in the Stellar Blockchain Financial Network
    Mohammad Javad Shayegan, Kiarash Shamsi
    http://arxiv.org/abs/2107.00059v1

    • [cs.DC]Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
    Renato L. F. Cunha, Lucas V. Real, Renan Souza, Bruno Silva, Marco A. S. Netto
    http://arxiv.org/abs/2107.00187v1

    • [cs.DC]MIND: In-Network Memory Management for Disaggregated Data Centers
    Seung-seob Lee, Yanpeng Yu, Yupeng Tang, Anurag Khandelwal, Lin Zhong, Abhishek Bhattacharjee
    http://arxiv.org/abs/2107.00164v1

    • [cs.DC]On the (Non-)Applicability of a Small Model Theorem to Model Checking STMs
    Heike Wehrheim
    http://arxiv.org/abs/2107.00271v1

    • [cs.DC]Parallel Graph Coloring Algorithms for Distributed GPU Environments
    Ian Bogle, Erik G Boman, Karen D Devine, Sivasankaran Rajamanickam, George M Slota
    http://arxiv.org/abs/2107.00075v1

    • [cs.DC]Scrooge Attack: Undervolting ARM Processors for Profit
    Christian Göttel, Konstantinos Parasyris, Osman Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
    http://arxiv.org/abs/2107.00416v1

    • [cs.DC]Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications
    Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon Pierce, Michael Zentner
    http://arxiv.org/abs/2107.00417v1

    • [cs.DL]Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertatio
    1000
    ns
    Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox
    http://arxiv.org/abs/2107.00516v1

    • [cs.DL]Proof of Reference(PoR): A unified informetrics based consensus mechanism
    Parul Khurana, Geetha Ganesan, Gulshan Kumar, Kiran Sharma
    http://arxiv.org/abs/2107.00214v1

    • [cs.DS]Backtracking (the) Algorithms on the Hamiltonian Cycle Problem
    Joeri Sleegers, Daan van den Berg
    http://arxiv.org/abs/2107.00314v1

    • [cs.DS]Evidence for Long-Tails in SLS Algorithms
    Florian Wörz, Jan-Hendrik Lorenz
    http://arxiv.org/abs/2107.00378v1

    • [cs.GR]Learning-based pose edition for efficient and interactive design
    Léon Victor, Alexandre Meyer, Saïda Bouakaz
    http://arxiv.org/abs/2107.00397v1

    • [cs.HC]If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot
    Ali Ayub, Huiqing Hu, Guangwei Zhou, Carter Fendley, Crystal Ramsay, Kathy Lou Jackson, Alan R. Wagner
    http://arxiv.org/abs/2107.00123v1

    • [cs.IR]Embedding-based Recommender System for Job to Candidate Matching on Scale
    Jing Zhao, Jingya Wang, Madhav Sigdel, Bopeng Zhang, Phuong Hoang, Mengshu Liu, Mohammed Korayem
    http://arxiv.org/abs/2107.00221v1

    • [cs.IR]SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search
    Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang
    http://arxiv.org/abs/2107.00525v1

    • [cs.IR]The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems
    Qing Wang
    http://arxiv.org/abs/2107.00161v1

    • [cs.IT]A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
    Jingbo Liu
    http://arxiv.org/abs/2107.00211v1

    • [cs.IT]A New Algorithm for Equivalence of Cyclic Codes and Its Applications
    Nuh Aydin, R. Oliver VandenBerg
    http://arxiv.org/abs/2107.00159v1

    • [cs.IT]Coded Caching with Shared Caches from Generalized Placement Delivery Arrays
    Elizabath Peter, B. Sundar Rajan
    http://arxiv.org/abs/2107.00361v1

    • [cs.IT]Data Deduplication with Random Substitutions
    Hao Lou, Farzad Farnoud
    http://arxiv.org/abs/2107.00490v1

    • [cs.IT]Multi-Access Coded Caching with Demand Privacy
    K. K. Krishnan Namboodiri, B. Sundar Rajan
    http://arxiv.org/abs/2107.00226v1

    • [cs.IT]Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning
    Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim
    http://arxiv.org/abs/2107.00238v1

    • [cs.IT]Secretive Coded Caching from PDAs
    Shreya Shrestha Meel, B. Sundar Rajan
    http://arxiv.org/abs/2107.00399v1

    • [cs.IT]Secretive Coded Caching with Shared Caches
    Shreya Shrestha Meel, B. Sundar Rajan
    http://arxiv.org/abs/2107.00241v1

    • [cs.LG]A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
    Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad, Behzad Moshiri
    http://arxiv.org/abs/2107.00366v1

    • [cs.LG]A Survey on Graph-Based Deep Learning for Computational Histopathology
    David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
    http://arxiv.org/abs/2107.00272v1

    • [cs.LG]AdaXpert: Adapting Neural Architecture for Growing Data
    Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
    http://arxiv.org/abs/2107.00254v1

    • [cs.LG]Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
    Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
    http://arxiv.org/abs/2107.00481v1

    • [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
    http://arxiv.org/abs/2106.16225v2

    • [cs.LG]Boosting Certified 今日学术视野(2021.7.3) - 图6 Robustness with EMA Method and Ensemble Model
    Binghui Li, Shiji Xin, Qizhe Zhang
    http://arxiv.org/abs/2107.00230v1

    • [cs.LG]ControlBurn: Feature Selection by Sparse Forests
    Brian Liu, Miaolan Xie, Madeleine Udell
    http://arxiv.org/abs/2107.00219v1

    • [cs.LG]Dep-今日学术视野(2021.7.3) - 图7: Improving 今日学术视野(2021.7.3) - 图8-based Network Sparsification via Dependency Modeling
    Yang Li, Shihao Ji
    http://arxiv.org/abs/2107.00070v1

    • [cs.LG]Dep-今日学术视野(2021.7.3) - 图9: Improving 今日学术视野(2021.7.3) - 图10-based Network Sparsification via Dependency Modeling
    Yang Li, Shihao Ji
    http://arxiv.org/abs/4b
    bs/2107.00070v1
    bs/2107.00070v1)

    • [cs.LG]Fast Margin Maximization via Dual Acceleration
    Ziwei Ji, Nathan Srebro, Matus Telgarsky
    http://arxiv.org/abs/2107.00595v1

    • [cs.LG]FedMix: Approximation of Mixup under Mean Augmented Federated Learning
    Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
    http://arxiv.org/abs/2107.00233v1

    • [cs.LG]Generalization and Robustness Implications in Object-Centric Learning
    Andrea Dittadi, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello
    http://arxiv.org/abs/2107.00637v1

    • [cs.LG]Global Knowledge Distillation in Federated Learning
    Wanning Pan, Lichao Sun
    http://arxiv.org/abs/2107.00051v1

    • [cs.LG]Goal-Conditioned Reinforcement Learning with Imagined Subgoals
    Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
    http://arxiv.org/abs/2107.00541v1

    • [cs.LG]Impact Remediation: Optimal Interventions to Reduce Inequality
    Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
    http://arxiv.org/abs/2107.00593v1

    • [cs.LG]Implicit Acceleration and Feature Learning inInfinitely Wide Neural Networks with Bottlenecks
    Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
    http://arxiv.org/abs/2107.00364v1

    • [cs.LG]Improving black-box optimization in VAE latent space using decoder uncertainty
    Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
    http://arxiv.org/abs/2107.00096v1

    • [cs.LG]Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
    Pierre Gillot, Pekka Parviainen
    http://arxiv.org/abs/2107.00571v1

    • [cs.LG]MHER: Model-based Hindsight Experience Replay
    Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li
    http://arxiv.org/abs/2107.00306v1

    • [cs.LG]Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics
    Han-Chih Chang, Jianwei Li, Ching-Seh Wu, Mark Stamp
    http://arxiv.org/abs/2107.00507v1

    • [cs.LG]Mandoline: Model Evaluation under Distribution Shift
    Mayee Chen, Karan Goel, Nimit Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
    http://arxiv.org/abs/2107.00643v1

    • [cs.LG]Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow
    Wenjun Zeng, Yi Liu
    http://arxiv.org/abs/2107.00204v1

    • [cs.LG]Multi-modal Graph Learning for Disease Prediction
    Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao
    http://arxiv.org/abs/2107.00206v1

    • [cs.LG]Neural Network Training with Highly Incomplete Datasets
    Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe
    http://arxiv.org/abs/2107.00429v1

    • [cs.LG]Online learning of windmill time series using Long Short-term Cognitive Networks
    Alejandro Morales-Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof
    http://arxiv.org/abs/2107.00425v1

    • [cs.LG]PSD Representations for Effective Probability Models
    Alessandro Rudi, Carlo Ciliberto
    http://arxiv.org/abs/2106.16116v2

    • [cs.LG]Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations
    Aahlad Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath
    http://arxiv.org/abs/2107.00520v1

    • [cs.LG]Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning
    Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner
    http://arxiv.org/abs/2107.00243v1

    • [cs.LG]Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
    Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua
    http://arxiv.org/abs/2107.00181v1

    • [cs.LG]Robust Coreset for Continuous-and-Bounded Learning (with Outliers)
    Zixiu Wang, Yiwen Guo, Hu Ding
    http://arxiv.org/abs/2107.00068v1

    • [cs.LG]Robust Generative Adversarial Imitation Learning via Local Lipschitzness
    Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu
    http://arxiv.org/abs/2107.00116v1

    • [cs.LG]Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
    Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
    http://arxiv.org/abs/2107.00166v1

    • [cs.LG]Scalable Certified Segmentation via Randomized Smoothing
    Marc Fischer, Maximilian Baader, Martin Vechev
    http://arxiv.org/abs/2107.00228v1

    • [cs.LG]Secure Quantized Training for Deep Learning
    Marcel Keller, Ke Sun
    http://arxiv.org/abs/2107.00501v1

    • [cs.LG]Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
    Nicklas Hansen, Hao Su, Xiaolong Wang
    http://arxiv.org/abs/2107.00644v1

    • [cs.LG]Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
    Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien
    http://arxiv.org/abs/2107.00052v1

    • [cs.LG]The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification
    Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban
    http://arxiv.org/abs/2107.00247v1

    • [cs.LG]Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
    Wonju Lee, Seok-Yong Byun, Jooeun Kim, Minje Park, Kirill Chechil
    http://arxiv.org/abs/2107.00191v1

    • [cs.LG]Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples
    Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash
    http://arxiv.org/abs/2107.00561v1

    • [cs.LG]Using AntiPatterns to avoid MLOps Mistakes
    Nikhil Muralidhar, Sathappah Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays ‘Skip’ McCormick, Naren Ramakrishnan
    http://arxiv.org/abs/2107.00079v1

    • [cs.LG]Variational Diffusion Models
    Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
    http://arxiv.org/abs/2107.00630v1

    • [cs.LG]Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions
    Roy Dong, Lillian J. Ratliff
    http://arxiv.org/abs/2107.00055v1

    • [cs.LO]Computing CQ lower-bounds over OWL 2 through approximation to RSA
    Federico Igne, Stefano Germano, Ian Horrocks
    http://arxiv.org/abs/2107.00369v1

    • [cs.MA]Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution
    Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
    http://arxiv.org/abs/2107.00032v1

    • [cs.MA]SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
    Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng
    http://arxiv.org/abs/2107.00284v1

    • [cs.NE]CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
    Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique
    http://arxiv.org/abs/2107.00401v1

    • [cs.PL]Productivity, Portability, Performance: Data-Centric Python
    Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
    http://arxiv.org/abs/2107.00555v1

    • [cs.RO]Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models
    Mingrui Yu, Hanzhong Zhong, Fangxun Zhong, Xiang Li
    http://arxiv.org/abs/2107.00194v1

    • [cs.RO]Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry
    Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno
    http://arxiv.org/abs/2107.00275v1

    • [cs.RO]Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA
    Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano
    http://arxiv.org/abs/2107.00209v1

    • [cs.RO]Design, Modelling and Control of SPIROS: The Six Propellers and Intermeshing Rotors Based Omnidirectional Spherical Robot
    Yogesh Phalak
    http://arxiv.org/abs/2107.00621v1

    • [cs.RO]Improving Human Motion Prediction Through Continual Learning
    Mohammad Samin Yasar, Tariq Iqbal
    http://arxiv.org/abs/2107.00544v1

    • [cs.RO]Learning to See before Learning to Act: Visual Pre-training for Manipulation
    Lin Yen-Chen, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
    http://arxiv.org/abs/2107.00646v1

    • [cs.RO]Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
    Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii
    http://arxiv.org/abs/2107.00359v1

    • [cs.RO]Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
    Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
    http://arxiv.org/abs/2107.00591v1

    • [cs.RO]PlanSys2: A Planning System Framework for ROS2
    Francisco Martín, Jonatan Ginés, Vicente Matellán, Francisco J. Rodríguez
    http://arxiv.org/abs/2107.00376v1

    • [cs.RO]Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
    Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim
    http://arxiv.org/abs/2107.00339v1

    • [cs.RO]Robotic Template Library
    Ales Jelinek, Adam Ligocki, Ludek Zalud
    http://arxiv.org/abs/2107.00324v1

    • [cs.RO]SQRP: Sensing Quality-aware Robot Programming System for Non-expert Programmers
    Yi-Hsuan Hsieh, Pei-Chi Huang, Aloysius K Mok
    http://arxiv.org/abs/2107.00127v1

    • [cs.RO]Social Coordination and Altruism in Autonomous Driving
    Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
    http://arxiv.org/abs/2107.00200v1

    • [cs.RO]Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator
    Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim
    http://arxiv.org/abs/2107.00353v1

    • [cs.RO]Test Framework for a Virtual Competition Testbed
    Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N Gowda, Pierre Nicolay, Emily Rolley-Parnell
    http://arxiv.org/abs/2107.00443v1

    • [cs.RO]TransSC: Transformer-based Shape Completion for Grasp Evaluation
    Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen, Fuchun Sun, Jianwei Zhang
    http://arxiv.org/abs/2107.00511v1

    • [cs.SD]An Objective Evaluation Framework for Pathological Speech Synthesis
    Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai. -Doss
    http://arxiv.org/abs/2107.00308v1

    • [cs.SD]Audiovisual Singing Voice Separation
    Bochen Li, Yuxuan Wang, Zhiyao Duan
    http://arxiv.org/abs/2107.00231v1

    • [cs.SD]Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
    Eduardo Fonseca, Andres Ferraro, Xavier Serra
    http://arxiv.org/abs/2107.00623v1

    • [cs.SD]Spotting adversarial samples for speaker verification by neural vocoders
    Haibin Wu, Po-chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-yi Lee
    http://arxiv.org/abs/2107.00309v1

    • [eess.AS]ESPnet-ST IWSLT 2021 Offline Speech Translation System
    Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Gu, Jiatong Shi, Kevin Duh, Shinji Watanabe
    http://arxiv.org/abs/2107.00636v1

    • [eess.AS]Pretext Tasks selection for multitask self-supervised speech representation learning
    Salah Zaiem, Titouan Parcollet, Slim Essid
    http://arxiv.org/abs/2107.00594v1

    • [eess.AS]StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR
    Hirofumi Inaguma, Tatsuya Kawahara
    http://arxiv.org/abs/2107.00635v1

    • [eess.IV]Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
    Vasudevan Lakshminarayanan, Hoda Kherdfallah, Arya Sarkar, J. Jothi Balaji
    http://arxiv.org/abs/2107.00115v1

    • [eess.IV]DivergentNets: Medical Image Segmentation by Network Ensemble
    Vajira Thambawita, Steven A. Hicks, Pål Halvorsen, Michael A. Riegler
    http://arxiv.org/abs/2107.00283v1

    • [eess.IV]Explainable Diabetic Retinopathy Detection and Retinal Image Generation
    Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu
    http://arxiv.org/abs/2107.00296v1

    • [eess.IV]Feasibility of Haralick’s Texture Features for the Classification of Chromogenic In-situ Hybridization Images
    Stoyan Pavlov, Galina Momcheva, Pavlina Burlakova, Simeon Atanasov, Dimo Stoyanov, Martin Ivanov, Anton Tonchev
    http://arxiv.org/abs/2107.00235v1

    • [eess.IV]Lossless Coding of Point Cloud Geometry using a Deep Generative Model
    Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel
    http://arxiv.org/abs/2107.00400v1

    • [eess.IV]Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
    Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee
    http://arxiv.org/abs/2107.00418v1

    • [eess.SP]Explainable nonlinear modelling of multiple time series with invertible neural networks
    Luis Miguel Lopez-Ramos, Kevin Roy, Baltasar Beferull-Lozano
    http://arxiv.org/abs/2107.00391v1

    • [eess.SY]A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications
    Guilherme Ramos, Daniel Silvestre, Carlos Silvestre
    http://arxiv.org/abs/2107.00431v1

    • [eess.SY]Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
    Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone
    http://arxiv.org/abs/2107.00165v1

    • [eess.SY]Machine learning based iterative learning control for non-repetitive time-varying systems
    Yiyang Chen, Wei Jiang, Themistoklis Charalambous
    http://arxiv.org/abs/2107.00421v1

    • [math.OC]Convex Optimization for Parameter Synthesis in MDPs
    Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu
    http://arxiv.org/abs/2107.00108v1

    • [math.OC]How many samples are needed to reliably approximate the best linear estimator for a linear inverse problem?
    Gernot Holler
    http://arxiv.org/abs/2107.00215v1

    • [math.OC]On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging
    Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
    http://arxiv.org/abs/2107.00464v1

    • [math.ST]Behaviour of Familywise Error Rate in Normal Distributions
    Monitirtha Dey
    http://arxiv.org/abs/2107.00146v1

    • [math.ST]Bounds for the chi-square approximation of the power divergence family of statistics
    Robert E. Gaunt
    http://arxiv.org/abs/2107.00535v1

    • [math.ST]Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
    T. Tony Cai, Hongji Wei
    http://arxiv.org/abs/2107.00179v1

    • [math.ST]Optimal use of auxiliary information : information geometry and empirical process
    Sofiane Arradi-Alaoui
    http://arxiv.org/abs/2107.00563v1

    • [math.ST]Robust Estimation in Finite Mixture Models
    Alexandre Lecestre
    http://arxiv.org/abs/2107.00587v1

    • [math.ST]Semiparametric estimation of McKean-Vlasov SDEs
    Denis Belomestny, Vytautė Pilipauskaitė, Mark Podolskij
    http://arxiv.org/abs/2107.00539v1

    • [math.ST]The geometry of Gaussian double Markovian distributions
    Tobias Boege, Thomas Kahle, Andreas Kretschmer, Frank Röttger
    http://arxiv.org/abs/2107.00134v1

    • [physics.comp-ph]Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning
    Sean Hooten, Thomas Van Vaerenbergh, Raymond G. Beausoleil
    http://arxiv.org/abs/2107.00088v1

    • [physics.soc-ph]Travel Cadence and Epidemic Spread
    Lauren Streitmatter, Peter Zhang
    http://arxiv.org/abs/2107.00203v1

    • [q-fin.TR]The Limit Order Book Recreation Model (LOBRM): An Extended Analysis
    Zijian Shi, John Cartlidge
    http://arxiv.org/abs/2107.00534v1

    • [quant-ph]Coherent information of a quantum channel or its complement is generically positive
    Satvik Singh, Nilanjana Datta
    http://arxiv.org/abs/2107.00392v1

    • [quant-ph]Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity
    Wei-Ming Li, Shi-Ju Ran
    http://arxiv.org/abs/2107.00195v1

    • [stat.AP]A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
    Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye, Thomas P. Curtis, Ben Allen, Andrew Golightly, Darren J. Wilkinson
    http://arxiv.org/abs/2107.00502v1

    • [stat.AP]Comparison of forecasting of the risk of coronavirus (COVID 19) in high quality and low quality healthcare systems, using ANN models
    Aseel Sameer Mohamed, Nooriya A. Mohammed
    http://arxiv.org/abs/2107.00548v1

    • [stat.AP]Managing driving modes in automated driving systems
    David Ríos Insua, William N. Caballero, Roi Naveiro
    http://arxiv.org/abs/2107.00280v1

    • [stat.CO]Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
    Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret
    http://arxiv.org/abs/2107.00394v1

    • [stat.ME]A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
    Michael Schweinberger, Rashmi P. Bomiriya, Sergii Babkin
    http://arxiv.org/abs/2107.00375v1

    • [stat.ME]Adaptive Capped Least Squares
    Qiang Sun, Rui Mao, Wen-Xin Zhou
    http://arxiv.org/abs/2107.00109v1

    • [stat.ME]Adaptively Robust Geographically Weighted Regression
    Shonosuke Sugasawa, Daisuke Murakami
    http://arxiv.org/abs/2106.15811v2

    • [stat.ME]Assignment-Control Plots: A Visual Companion for Causal Inference Study Design
    Rachael C. Aikens, Michael Baiocchi
    http://arxiv.org/abs/2107.00122v1

    • [stat.ME]Dealing with overdispersion in multivariate count data
    Noemi Corsini, Cinzia Viroli
    http://arxiv.org/abs/2107.00470v1

    • [stat.ME]Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
    Jacopo Diquigiovanni, Matteo Fontana, Simone Vantini
    http://arxiv.org/abs/2107.00527v1

    • [stat.ME]Do we need to estimate the variance in robust mean estimation?
    Qiang Sun
    http://arxiv.org/abs/2107.00118v1

    • [stat.ME]Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations
    Kilani Ghoudi, Naâmane Laïb, Mohamed Chaouch
    http://arxiv.org/abs/2107.00633v1

    • [stat.ME]Randomization-only Inference in Experiments with Interference
    David Choi
    http://arxiv.org/abs/2107.00248v1

    • [stat.ME]Root and community inference on the latent growth process of a network using noisy attachment models
    Harry Crane, Min Xu
    http://arxiv.org/abs/2107.00153v1

    • [stat.ME]Spatial kriging for replicated temporal point processes
    Daniel Gervini
    http://arxiv.org/abs/2107.00074v1

    • [stat.ME]The Case against Generally Weighted Moving Average (GWMA) Control Charts
    Sven Knoth, William H. Woodall, Víctor G. Tercero-Gómez
    http://arxiv.org/abs/2107.00224v1

    • [stat.ML]Fixed points of monotonic and (weakly) scalable neural networks
    Tomasz Piotrowski, Renato L. G. Cavalcante
    http://arxiv.org/abs/2106.16239v2

    • [stat.ML]On the Expected Complexity of Maxout Networks
    Hanna Tseran, Guido Montúfar
    http://arxiv.org/abs/2107.00379v1

    • [stat.ML]Reparameterized Sampling for Generative Adversarial Networks
    Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
    http://arxiv.org/abs/2107.00352v1

    • [stat.ML]Sparse GCA and Thresholded Gradient Descent
    Sheng Gao, Zongming Ma
    http://arxiv.org/abs/2107.00371v1

    • [stat.ML]Well-calibrated prediction intervals for regression problems
    Nicolas Dewolf, Bernard De Baets, Willem Waegeman
    http://arxiv.org/abs/2107.00363v1