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.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    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.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.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.acc-ph - 加速器物理学
    physics.soc-ph - 物理学与社会
    q-bio.GN - 基因组学
    q-bio.MN - 分子网络
    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

    • [astro-ph.IM]Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
    • [c
    7f9
    s.CV]A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition
    • [cond-mat.stat-mech]Attaining entropy production and dissipation maps from Brownian movies via neural networks
    • [cs.AI]Action Set Based Policy Optimization for Safe Power Grid Management
    • [cs.AI]Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
    • [cs.AI]Coach2vec: autoencoding the playing style of soccer coaches
    • [cs.AI]DRILL— Deep Reinforcement Learning for Refinement Operators in 今日学术视野(2021.7.1) - 图1
    • [cs.AI]Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning
    • [cs.AI]Fact Check: Analyzing Financial Events from Multilingual News Sources
    • [cs.AI]Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
    • [cs.AI]K-ZSL: Resources for Knowledge-driven Zero-shot Learning
    • [cs.AI]Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming
    • [cs.AI]Semantic Reasoning from Model-Agnostic Explanations
    • [cs.AI]The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images
    • [cs.CL]A Simple and Efficient Probabilistic Language model for Code-Mixed Text
    • [cs.CL]Automatic Construction of Enterprise Knowledge Base
    • [cs.CL]Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
    • [cs.CL]Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
    • [cs.CL]Hate speech detection using static BERT embeddings
    • [cs.CL]Language Lexicons for Hindi-English Multilingual Text Processing
    • [cs.CL]Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
    • [cs.CL]Neural Machine Translation for Low-Resource Languages: A Survey
    • [cs.CL]New Arabic Medical Dataset for Diseases Classification
    • [cs.CL]On the Interaction of Belief Bias and Explanations
    • [cs.CL]Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
    • [cs.CL]Representation based meta-learning for few-shot spoken intent recognition
    • [cs.CL]Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
    • [cs.CL]Rethinking the Evaluation of Neural Machine Translation
    • [cs.CL]Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
    • [cs.CL]Sexism in the Judiciary
    • [cs.CL]TWAG: A Topic-Guided Wikipedia Abstract Generator
    • [cs.CL]Time-Aware Language Models as Temporal Knowledge Bases
    • [cs.CL]Topic Modeling Based Extractive Text Summarization
    • [cs.CL]Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
    • [cs.CL]Unsupervised Technique To Conversational Machine Reading
    • [cs.CR]Decentralized Blockchain-based model for Edge Computing
    • [cs.CR]Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System
    • [cs.CR]Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments
    • [cs.CR]Feature selection for intrusion detection systems
    • [cs.CR]Privacy Budget Scheduling
    • [cs.CV]A Behavior-aware Graph Convolution Network Model for Video Recommendation
    • [cs.CV]Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search
    • [cs.CV]An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning
    • [cs.CV]An End-to-End Autofocus Camera for Iris on the Move
    • [cs.CV]An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
    • [cs.CV]An Uncertainty Estimation Framework for Probabilistic Object Detection
    • [cs.CV]Are conditional GANs explicitly conditional?
    • [cs.CV]Attention-guided Progressive Mapping for Profile Face Recognition
    • [cs.CV]AutoNovel: Automatically Discovering and Learning Novel Visual Categories
    • [cs.CV]Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
    • [cs.CV]Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
    • [cs.CV]Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder
    • [cs.CV]Deep Learning for Face Anti-Spoofing: A Survey
    • [cs.CV]Detecting Cattle and Elk in the Wild from Space
    • [cs.CV]Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
    • [cs.CV]EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
    • [cs.CV]Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
    • [cs.CV]Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
    • [cs.CV]Fast Training of Neural Lumigraph Representations using Meta Learning
    • [cs.CV]Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
    • [cs.CV]GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
    • [cs.CV]How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
    • [cs.CV]IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
    • [cs.CV]Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree Based Method
    • [cs.CV]Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
    • [cs.CV]Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
    • [cs.CV]MFR 2021: Masked Face Recognition Competition
    • [cs.CV]Multi-Exit Vision Transformer for Dynamic Inference
    • [cs.CV]Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
    • [cs.CV]Multiple Graph Learning for Scalable Multi-view Clustering
    • [cs.CV]O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
    • [cs.CV]Object Detection Based Handwriting Localization
    • [cs.CV]On-board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
    • [cs.CV]Open-Set Representation Learning through Combinatorial Embedding
    • [cs.CV]Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation
    • [cs.CV]SDL: New data generation tools for full-level annotated document layout
    • [cs.CV]SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
    • [cs.CV]SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection
    • [cs.CV]Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
    • [cs.CV]Spatio-Temporal Context for Action Detection
    • [cs.CV]Striking the Right Balance: Recall Loss for Semantic Segmentation
    • [cs.CV]TUCaN: Progressively Teaching Colourisation to Capsules
    • [cs.CV]Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
    • [cs.CV]Text Prior Guided Scene Text Image Super-resolution
    • [cs.CV]Towards Understanding the Effectiveness of Attention Mechanism
    • [cs.CV]Uncertainty-Guided Progressive GANs for Medical Image Translation
    • [cs.CV]Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
    • [cs.CV]Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
    • [cs.CV]Using Robust Regression to Find Font Usage Trends
    • [cs.CV]Wrong Colored Vermeer: Color-Symmetric Image Distortion
    • [cs.CY]SARiSsa — A Mobile Application for the Proactive Control of SARS-CoV-2 Spread
    • [cs.CY]The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative
    • [cs.DC]Bottleneck Time Minimization for Distributed Iterative Processes: Speeding Up Gossip-Based Federated Learning on Networked Computers
    • [cs.DC]Distributed Matrix Tiling Using A Hypergraph Labeling Formulation
    • [cs.DC]Efficient State-space Exploration in Massively Parallel Simulation Based Inference
    • [cs.DC]Flare: Flexible In-Network Allreduce
    • [cs.DC]Linearizable Implementations Suffice for Termination of Randomized Concurrent Programs
    • [cs.DC]Scalable Traffic Predictive Analysis using GPU in Big Data
    • [cs.DC]Validation of a simulation model for FaaS performance benchmarking using predictive validation
    • [cs.DC]workload forecasting and resource management models based on machine learning for cloud computing environments
    • [cs.DL]When standard network measures fail to rank journals: A theoretical and empirical analysis
    • [cs.HC]An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
    • [cs.HC]Evaluation of Automated Image Descriptions for Visually Impaired Students
    • [cs.HC]Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
    • [cs.HC]Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
    • [cs.IR]A new system for evaluating brand importance: A use case from the fashion industry
    • [cs.IR]Improving Sequential Recommendation Consistency with Self-Supervised Imitation
    • [cs.IR]On component interactions in two-stage recommender systems
    • [cs.IT]Coalition Formation Games for Improved Cell-Edge User Service in Downlink NOMA and MU-MIMO Small Cell Systems
    • [cs.IT]End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping
    • [cs.IT]Generalized Power Method for Generalized Orthogonal Procrustes Problem: Global Convergence and Optimization Landscape Analysis
    • [cs.IT]Generalizing Syndrome Decoding problem to the totally Non-negative Grassmannian
    • [cs.IT]On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers
    • [cs.IT]Optimization Techniques in Reconfigurable Intelligent Surface Aided Networks
    • [cs.IT]Recent Colorings And Labelings In Topological Coding
    • [cs.IT]Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends
    • [cs.LG]A Convergent and Efficient Deep Q Network Algorithm
    • [cs.LG]A Mechanism for Producing Aligned Latent Spaces with Autoencoders
    • [cs.LG]A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
    • [cs.LG]Adaptive Sample Selection for Robust Learning under Label Noise
    • [cs.LG]Adversarial Robustness of Streaming Algorithms through Importance Sampling
    • [cs.LG]An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble
    • [cs.LG]As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance
    • [cs.LG]Attack Transferability Characterization for Adversarially Robust Multi-label Classification
    • [cs.LG]Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins
    • [cs.LG]Certifiable Machine Unlearning for Linear Models
    • [cs.LG]Classification of Consumer Belief Statements From Social Media
    • [cs.LG]Continuous Latent Process Flows
    • [cs.LG]Convolutional Hypercomplex Embeddings for Link Prediction
    • [cs.LG]Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
    • [cs.LG]Counterfactual Explanations for Arbitrary Regression Models
    • [cs.LG]Cross-domain error minimization for unsupervised domain adaptation
    • [cs.LG]Curious Explorer: a provable exploration strategy in Policy Learning
    • [cs.LG]Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers
    • [cs.LG]ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
    • [cs.LG]Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
    • [cs.LG]Evolving-Graph Gaussian Processes
    • [cs.LG]Expert Q-learning: Deep Q-learning With State Values From Expert Examples
    • [cs.LG]Explaining the Performance of Multi-label Classification Methods with Data Set Properties
    • [cs.LG]FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks
    • [cs.LG]Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
    • [cs.LG]Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
    • [cs.LG]Geometry-aware Transformer for molecular property prediction
    • [cs.LG]Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
    • [cs.LG]GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
    • [cs.LG]GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures
    • [cs.LG]High-dimensional separability for one- and few-shot learning
    • [cs.LG]INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
    • [cs.LG]Interactive Dimensionality Reduction for Comparative Analysis
    • [cs.LG]Joint Majorization-Minimization for Nonnegative Matrix Factorization with the 今日学术视野(2021.7.1) - 图2-divergence
    • [cs.LG]Learning Task Informed Abstraction
    • [cs.LG]Learning from Multiple Annotators by Incorporating Instance Features
    • [cs.LG]Learning latent causal graphs via mixture oracles
    • [cs.LG]Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs
    • [cs.LG]MAML is a Noisy Contrastive Learner
    • [cs.LG]Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
    • [cs.LG]Near-Optimal Explainable 今日学术视野(2021.7.1) - 图3-Means for All Dimensions
    • [cs.LG]On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
    • [cs.LG]Online Interaction Detection for Click-Through Rate Prediction
    • [cs.LG]Optimal Rates for Random Order Online Optimization
    • [cs.LG]Personalized Federated Le
    1000
    arning with Gaussian Processes
    • [cs.LG]Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
    • [cs.LG]SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
    • [cs.LG]Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
    • [cs.LG]Self-Contrastive Learning
    • [cs.LG]Semi-supervised learning with Bayesian Confidence Propagation Neural Network
    • [cs.LG]Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
    • [cs.LG]Subgroup Generalization and Fairness of Graph Neural Networks
    • [cs.LG]The Values Encoded in Machine Learning Research
    • [cs.LG]Towards Generalisable Deep Inertial Tracking via Geometry-Aware Learning
    • [cs.LG]Zoo-Tuning: Adaptive Transfer from a Zoo of Models
    • [cs.LO]The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2ExpTime-hard
    • [cs.NE]Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning
    • [cs.NE]Reliable and Fast Recurrent Neural Network Architecture Optimization
    • [cs.NE]Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
    • [cs.NE]Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
    • [cs.NI]Measuring close proximity interactions in summer camps during the COVID-19 pandemic
    • [cs.NI]MuViS: Online MU-MIMO Grouping for Multi-User Applications Over Commodity WiFi
    • [cs.RO]A Survey on Trust Metrics for Autonomous Robotic Systems
    • [cs.RO]A Toolchain to Design, Execute, and Monitor Robots Behaviors
    • [cs.RO]Design for a blind stereoscopic picture taker
    • [cs.RO]GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
    • [cs.RO]Model Predictive Control for Trajectory Tracking on Differentiable Manifolds
    • [cs.RO]Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots
    • [cs.RO]Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
    • [cs.RO]On the Implementation of Behavior Trees in Robotics
    • [cs.RO]Online Estimation and Coverage Control with Heterogeneous Sensing Information
    • [cs.RO]Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis
    • [cs.RO]Trust is not all about performance: trust biases in interaction with humans, robots and computers
    • [cs.SD]Sounds of COVID-19: exploring realistic performance of audio-based digital testing
    • [cs.SI]BOTTER: A framework to analyze social bots in Twitter
    • [cs.SI]Detecting Changed-Hands Online Review Accounts
    • [cs.SI]Location Prediction via Bi-direction Speculation and Dual-level Association
    • [cs.SI]Text mining and sentiment analysis of COVID-19 tweets
    • [cs.SI]The cityseer Python package for pedestrian-scale network-based urban analysis
    • [cs.SI]Understanding the growth of the Fediverse through the lens of Mastodon
    • [econ.EM]A Note on the Topology of the First Stage of 2SLS with Many Instruments
    • [eess.AS]A Survey on Neural Speech Synthesis
    • [eess.AS]DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
    • [eess.AS]FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
    • [eess.AS]GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis
    • [eess.IV]A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
    • [eess.IV]ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
    • [eess.IV]Accelerated Multi-Modal MR Imaging with Transformers
    • [eess.IV]Data augmentation for deep learning based accelerated MRI reconstruction with limited data
    • [eess.IV]IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
    • [eess.IV]Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
    • [eess.IV]Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
    • [eess.SP]Federated Dynamic Spectrum Access
    • [math.OC]Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition
    • [math.OC]Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
    • [math.OC]Robust Distributed Optimization With Randomly Corrupted Gradients
    • [math.PR]Central Limit Theorem for product of dependent random variables
    • [math.ST]A novel approach to photon transfer conversion gain estimation
    • [math.ST]Improved Convergence Rates for the Orthogonal Greedy Algorithm
    • [math.ST]Isotonic regression for functionals of elicitation complexity greater than one
    • [math.ST]Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator
    • [math.ST]New copulas and their applications to symmetrizations of bivariate copulas
    • [math.ST]On the Optimal Configuration of a Square Array Group Testing Algorithm
    • [math.ST]Whittle estimation with (quasi-)analytic wavelets
    • [physics.acc-ph]Local field reconstruction from rotating coil measurements in particle accelerator magnets
    • [physics.soc-ph]Damping effect in innovation processes: case studies from Twitter
    • [q-bio.GN]Machine learning for plant microRNA prediction: A systematic review
    • [q-bio.GN]The Power of Alignment-Free Histogram-based Functions: a Comprehensive Genome Scale Experimental Analysis — Version 1
    • [q-bio.MN]Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks
    • [quant-ph]On exploring practical potentials of quantum auto-encoder with advantages
    • [stat.AP]How to Account for Alternatives When Comparing Effects: Revisiting ‘Bringing Education to Afghan Girls’
    • [stat.AP]Place of Occurrence of COVID-19 Deaths in the UK: Modelling and Analysis
    • [stat.AP]Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
    • [stat.ME]Causal Inference under Temporal and Spatial Interference
    • [stat.ME]Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial
    • [stat.ME]Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression
    • [stat.ME]Inference in Spatial Experiments with Interference using the SpatialEffect Package
    • [stat.ME]Logistic-tree normal model for microbiome compositions
    • [stat.ME]Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation
    • [stat.ME]Topological Data Analysis through alignment of Persistence Landscapes
    • [stat.ML]Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points
    • [stat.ML]Characterization of the Variation Spaces Corresponding to Shallow Neural Networks
    • [stat.ML]Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
    • [stat.ML]Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
    • [stat.ML]Meta-learning for Matrix Factorization without Shared Rows or Columns
    • [stat.ML]Sharp Lower Bounds on the Approximation Rate of Shallow Neural Networks
    • [stat.ML]Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
    • [stat.ML]Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
    • [stat.ML]Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey

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

    • [astro-ph.IM]Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
    Chengyuan Xu, Curtis McCully, Boning Dong, D. Andrew Howell, Pradeep Sen
    http://arxiv.org/abs/2106.14922v1

    • [c
    7f9
    s.CV]A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition
    Yan San Kong, Varsha Suresh, Jonathan Soh, Desmond C. Ong
    http://arxiv.org/abs/2106.15453v1

    • [cond-mat.stat-mech]Attaining entropy production and dissipation maps from Brownian movies via neural networks
    Youngkyoung Bae, Dong-Kyum Kim, Hawoong Jeong
    http://arxiv.org/abs/2106.15108v1

    • [cs.AI]Action Set Based Policy Optimization for Safe Power Grid Management
    Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian
    http://arxiv.org/abs/2106.15200v1

    • [cs.AI]Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
    Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa
    http://arxiv.org/abs/2106.15398v1

    • [cs.AI]Coach2vec: autoencoding the playing style of soccer coaches
    Paolo Cintia, Luca Pappalardo
    http://arxiv.org/abs/2106.15444v1

    • [cs.AI]DRILL— Deep Reinforcement Learning for Refinement Operators in 今日学术视野(2021.7.1) - 图4
    Caglar Demir, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2106.15373v1

    • [cs.AI]Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning
    Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella
    http://arxiv.org/abs/2106.15182v1

    • [cs.AI]Fact Check: Analyzing Financial Events from Multilingual News Sources
    Yang Linyi, Ng Tin Lok James, Smyth Barry, Dong Ruihai
    http://arxiv.org/abs/2106.15221v1

    • [cs.AI]Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
    Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke
    http://arxiv.org/abs/2106.15467v1

    • [cs.AI]K-ZSL: Resources for Knowledge-driven Zero-shot Learning
    Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zonggang Yuan, Huajun Chen
    http://arxiv.org/abs/2106.15047v1

    • [cs.AI]Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming
    Joaquín Arias, Manuel Carro, Zhuo Chen, Gopal Gupta
    http://arxiv.org/abs/2106.1456
    1000
    6v1
    1000
    6v1)

    • [cs.AI]Semantic Reasoning from Model-Agnostic Explanations
    Timen Stepišnik Perdih, Nada Lavrač, Blaž Škrlj
    http://arxiv.org/abs/2106.15433v1

    • [cs.AI]The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images
    Sharada Prasanna Mohanty, Gaurav Singhal, Eric Antoine Scuccimarra, Djilani Kebaili, Harris Héritier, Victor Boulanger, Marcel Salathé
    http://arxiv.org/abs/2106.14977v1

    • [cs.CL]A Simple and Efficient Probabilistic Language model for Code-Mixed Text
    M Zeeshan Ansari, Tanvir Ahmad, M M Sufyan Beg, Asma Ikram
    http://arxiv.org/abs/2106.15102v1

    • [cs.CL]Automatic Construction of Enterprise Knowledge Base
    Junyi Chai, Yujie He, Homa Hashemi, Bing Li, Daraksha Parveen, Ranganath Kondapally, Wenjin Xu
    http://arxiv.org/abs/2106.15085v1

    • [cs.CL]Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
    Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu
    http://arxiv.org/abs/2106.15078v1

    • [cs.CL]Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
    Yang Linyi, Li Jiazheng, Cunningham Pádraig, Zhang Yue, Smyth Barry, Dong Ruihai
    http://arxiv.org/abs/2106.15231v1

    • [cs.CL]Hate speech detection using static BERT embeddings
    Gaurav Rajput, Narinder Singh punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
    http://arxiv.org/abs/2106.15537v1

    • [cs.CL]Language Lexicons for Hindi-English Multilingual Text Processing
    Mohd Zeeshan Ansari, Tanvir Ahmad, Noaima Bari
    http://arxiv.org/abs/2106.15105v1

    • [cs.CL]Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
    Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li
    http://arxiv.org/abs/2106.15167v1

    • [cs.CL]Neural Machine Translation for Low-Resource Languages: A Survey
    Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli, Ravi Shekhar, Mehreen Alam, Rishemjit Kaur
    http://arxiv.org/abs/2106.15115v1

    • [cs.CL]New Arabic Medical Dataset for Diseases Classification
    Jaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, Nikolai Vedernikov, Anatoly Shalyto, Natalia Gusarova
    http://arxiv.org/abs/2106.15236v1

    • [cs.CL]On the Interaction of Belief Bias and Explanations
    Ana Valeria Gonzalez, Ana Valeria Gonzalez, Anders Søgaard
    http://arxiv.org/abs/2106.15355v1

    • [cs.CL]Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
    Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Luis Gasco, Martin Krallinger, Georgios Paliouras
    http://arxiv.org/abs/2106.14885v1

    • [cs.CL]Representation based meta-learning for few-shot spoken intent recognition
    Ashish Mittal, Samarth Bharadwaj, Shreya Khare, Saneem Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury
    http://arxiv.org/abs/2106.15238v1

    • [cs.CL]Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
    Siddhant Arora, Alissa Ostapenko, Vijay Viswanathan, Siddharth Dalmia, Florian Metze, Shinji Watanabe, Alan W Black
    http://arxiv.org/abs/2106.15065v1

    • [cs.CL]Rethinking the Evaluation of Neural Machine Translation
    Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou
    http://arxiv.org/abs/2106.15217v1

    • [cs.CL]Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
    Benjamin Marie, Atsushi Fujita, Raphael Rubino
    http://arxiv.org/abs/2106.15195v1

    • [cs.CL]Sexism in the Judiciary
    Noa Baker Gillis
    http://arxiv.org/abs/2106.15103v1

    • [cs.CL]TWAG: A Topic-Guided Wikipedia Abstract Generator
    Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
    http://arxiv.org/abs/2106.15135v1

    • [cs.CL]Time-Aware Language Models as Temporal Knowledge Bases
    Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
    http://arxiv.org/abs/2106.15110v1

    • [cs.CL]Topic Modeling Based Extractive Text Summarization
    Kalliath Abdul Rasheed Issam, Shivam Patel, Subalalitha C. N
    http://arxiv.org/abs/2106.15313v1

    • [cs.CL]Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
    Zhiyue Liu, Jiahai Wang, Zhenghong Li
    http://arxiv.org/abs/2106.15142v1

    • [cs.CL]Unsupervised Technique To Conversational Machine Reading
    Peter Ochieng, Dennis Mugambi
    http://arxiv.org/abs/2106.15247v1

    • [cs.CR]Decentralized Blockchain-based model for Edge Computing
    Mabrook S. Al-Rakhami, Abdu Gumaei, Sk. Md. Mizanur Rahman, Atif Al-Amri
    http://arxiv.org/abs/2106.15050v1

    • [cs.CR]Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System
    Mauro Conti, Simone Milani, Ehsan Nowroozi, Gabriele Orazi
    http://arxiv.org/abs/2106.15130v1

    • [cs.CR]Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments
    Zainul Abi Din, Hari Venugopalan, Henry Lin, Adam Wushensky, Steven Liu, Samuel T. King
    http://arxiv.org/abs/2106.14861v2

    • [cs.CR]Feature selection for intrusion detection systems
    Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal
    http://arxiv.org/abs/2106.14941v1

    • [cs.CR]Privacy Budget Scheduling
    Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
    http://arxiv.org/abs/2106.15335v1

    • [cs.CV]A Behavior-aware Graph Convolution Network Model for Video Recommendation
    Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou
    http://arxiv.org/abs/2106.15402v1

    • [cs.CV]Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search
    Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin
    http://arxiv.org/abs/2106.14943v1

    • [cs.CV]An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning
    Ziquan Wei, Shenghua Cheng, Xiuli Liu, Shaoqun Zeng
    http://arxiv.org/abs/2106.15113v1

    • [cs.CV]An End-to-End Autofocus Camera for Iris on the Move
    Leyuan Wang, Kunbo Zhang, Yunlong Wang, Zhenan Sun
    http://arxiv.org/abs/2106.15069v1

    • [cs.CV]An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
    Aviv Gabbay, Niv Cohen, Yedid Hoshen
    http://arxiv.org/abs/2106.15610v1

    • [cs.CV]An Uncertainty Estimation Framework for Probabilistic Object Detection
    Zongyao Lyu, Nolan B. Gutierrez, William J. Beksi
    http://arxiv.org/abs/2106.15007v1

    • [cs.CV]Are conditional GANs explicitly conditional?
    Houssem-eddine Boulahbal, Adrian Voicila, Andrew Comport
    http://arxiv.org/abs/2106.15011v1

    • [cs.CV]Attention-guided Progressive Mapping for Profile Face Recognition
    Junyang Huang, Changxing Ding
    http://arxiv.org/abs/2106.14124v2

    • [cs.CV]AutoNovel: Automatically Discovering and Learning Novel Visual Categories
    Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
    http://arxiv.org/abs/2106.15252v1

    • [cs.CV]Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
    Neda Zamanitajeddin, Mostafa Jahanifar, Nasir Rajpoot
    http://arxiv.org/abs/2106.15299v1

    • [cs.CV]Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
    Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang
    http://arxiv.org/abs/2106.15125v1

    • [cs.CV]Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder
    Chao Zeng, Tiesong Zhao, Sam Kwong
    http://arxiv.org/abs/2106.15312v1

    • [cs.CV]Deep Learning for Face Anti-Spoofing: A Survey
    Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao
    http://arxiv.org/abs/2106.14948v1

    • [cs.CV]Detecting Cattle and Elk in the Wild from Space
    Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
    http://arxiv.org/abs/2106.15448v1

    • [cs.CV]Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
    Kaiwen Yang, Xinmei Tian
    http://arxiv.org/abs/2106.15206v1

    • [cs.CV]EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
    Nitin J. Sanket, Chahat Deep Singh, Chethan M. Parameshwara, Cornelia Fermüller, Guido C. H. E. de Croon, Yiannis Aloimonos
    http://arxiv.org/abs/2106.15045v1

    • [cs.CV]Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
    C. Symeonidis, P. Nousi, P. Tosidis, K. Tsampazis, N. Passalis, A. Tefas, N. Nikolaidis
    http://arxiv.org/abs/2106.15409v1

    • [cs.CV]Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
    Xingqun Qi, Muyi Sun, Weining Wang, Xiaoxiao Dong, Qi Li, Caifeng Shan
    http://arxiv.org/abs/2106.15121v1

    • [cs.CV]Fast Training of Neural Lumigraph Representations using Meta Learning
    Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein
    http://arxiv.org/abs/2106.14942v1

    • [cs.CV]Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
    Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
    http://arxiv.org/abs/2106.15510v1

    • [cs.CV]GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
    Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao
    http://arxiv.org/abs/2106.15064v1

    • [cs.CV]How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
    Bidur Khanal, Christopher Kanan
    http://arxiv.org/abs/2106.15475v1

    • [cs.CV]IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
    Jie Li, Laiyan Ding, Rui Huang
    http://arxiv.org/abs/2106.15413v1

    • [cs.CV]Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree Based Method
    Yue Lin, Ningchuan Xiao
    http://arxiv.org/abs/2106.14049v2

    • [cs.CV]Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
    Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu
    http://arxiv.org/abs/2106.15058v1

    • [cs.CV]Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
    Tao Bai, Jinqi Luo, Jun Zhao
    http://arxiv.org/abs/2106.15202v1

    • [cs.CV]MFR 2021: Masked Face Recognition Competition
    Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal, Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Štruc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana F. Sequeira, Joao Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso
    http://arxiv.org/abs/2106.15288v1

    • [cs.CV]Multi-Exit Vision Transformer for Dynamic Inference
    Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
    http://arxiv.org/abs/2106.15183v1

    • [cs.CV]Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
    Nachiket Deo, Eric M. Wolff, Oscar Beijbom
    http://arxiv.org/abs/2106.15004v1

    • [cs.CV]Multiple Graph Learning for Scalable Multi-view Clustering
    Tianyu Jiang, Quanxue Gao
    http://arxiv.org/abs/2106.15382v1

    • [cs.CV]O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
    Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas Guibas
    http://arxiv.org/abs/2106.15087v1

    • [cs.CV]Object Detection Based Handwriting Localization
    Yuli Wu, Yucheng Hu, Suting Miao
    http://arxiv.org/abs/2106.14989v1

    • [cs.CV]On-board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
    Maria Pia Del Rosso, Alessandro Sebastianelli, Dario Spiller, Pierre Philippe Mathieu, Silvia Liberata Ullo
    http://arxiv.org/abs/2106.15281v1

    • [cs.CV]Open-Set Representation Learning through Combinatorial Embedding
    Geeho Kim, Bohyung Han
    http://arxiv.org/abs/2106.15278v1

    • [cs.CV]Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation
    Yusuke Kumakoshi, Shigeaki Onoda, Tetsuya Takahashi, Yuji Yoshimura
    http://arxiv.org/abs/2106.15361v1

    • [cs.CV]SDL: New data generation tools for full-level annotated document layout
    Son Nguyen Truong
    http://arxiv.org/abs/2106.15117v1

    • [cs.CV]SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
    Hitoshi Nishimura, Satoshi Komorita, Yasutomo Kawanishi, Hiroshi Murase
    http://arxiv.org/abs/2106.14259v2

    • [cs.CV]SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection
    Ranyu Ning, Can Zhang, Yuexian Zou
    http://arxiv.org/abs/2106.15258v1

    • [cs.CV]Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
    Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, Yiyu Shi
    http://arxiv.org/abs/2106.15597v1

    • [cs.CV]Spatio-Temporal Context for Action Detection
    Manuel Sarmiento Calderó, David Varas, Elisenda Bou-Balust
    http://arxiv.org/abs/2106.15171v1

    • [cs.CV]Striking the Right Balance: Recall Loss for Semantic Segmentation
    Junjiao Tian, Niluthpol Mithun, Zach Seymour, Han-Pang Chiu, Zsolt Kira
    http://arxiv.org/abs/2106.14917v1

    • [cs.CV]TUCaN: Progressively Teaching Colourisation to Capsules
    Rita Pucci, Niki Martinel
    http://arxiv.org/abs/2106.15176v1

    • [cs.CV]Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
    Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
    http://arxiv.org/abs/2106.15287v1

    • [cs.CV]Text Prior Guided Scene Text Image Super-resolution
    Jianqi Ma, Shi Guo, Lei Zhang
    http://arxiv.org/abs/2106.15368v1

    • [cs.CV]Towards Understanding the Effectiveness of Attention Mechanism
    Xiang Ye, Zihang He, Heng Wang, Yong Li
    http://arxiv.org/abs/2106.15067v1

    • [cs.CV]Uncertainty-Guided Progressive GANs for Medical Image Translation
    Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
    http://arxiv.org/abs/2106.15542v1

    • [cs.CV]Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
    Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Fillia Makedon, Glenn Wylie
    http://arxiv.org/abs/2106.15009v1

    • [cs.CV]Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
    Shoya Matsumori, Kosuke Shingyouchi, Yuki Abe, Yosuke Fukuchi, Komei Sugiura, Michita Imai
    http://arxiv.org/abs/2106.15550v1

    • [cs.CV]Using Robust Regression to Find Font Usage Trends
    Kaigen Tsuji, Daichi Haraguchi, Seiichi Uchida, Brian Kenji Iwana
    http://arxiv.org/abs/2106.15232v1

    • [cs.CV]Wrong Colored Vermeer: Color-Symmetric Image Distortion
    Hendrik Richter
    http://arxiv.org/abs/2106.15179v1

    • [cs.CY]SARiSsa — A Mobile Application for the Proactive Control of SARS-CoV-2 Spread
    Christos Chondros, Christos Georgiou-Mousses, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos
    http://arxiv.org/abs/2106.14567v2

    • [cs.CY]The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative
    Milo Z. Trujillo, Laurent Hébert-Dufresne, James P. Bagrow
    http://arxiv.org/abs/2106.15611v1

    • [cs.DC]Bottleneck Time Minimization for Distributed Iterative Processes: Speeding Up Gossip-Based Federated Learning on Networked Computers
    Mehrdad Kiamari, Bhaskar Krishnamachari
    http://arxiv.org/abs/2106.15048v1

    • [cs.DC]Distributed Matrix Tiling Using A Hypergraph Labeling Formulation
    Avah Banerjee, Guoli Ding, Maxwell Reeser
    http://arxiv.org/abs/2106.15549v1

    • [cs.DC]Efficient State-space Exploration in Massively Parallel Simulation Based Inference
    Sourabh Kulkarni, Csaba Andras Moritz
    http://arxiv.org/abs/2106.15508v1

    • [cs.DC]Flare: Flexible In-Network Allreduce
    Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
    http://arxiv.org/abs/2106.15565v1

    • [cs.DC]Linearizable Implementations Suffice for Termination of Randomized Concurrent Programs
    Hagit Attiya, Constantin Enea, Jennifer L. Welch
    http://arxiv.org/abs/2106.15554v1

    • [cs.DC]Scalable Traffic Predictive Analysis using GPU in Big Data
    Dalyapraz Dauletbak, Junghoon Heo, Sooyoung Kim, Yeon Pyo Kim, Jongwook Woo
    http://arxiv.org/abs/2106.15151v1

    • [cs.DC]Validation of a simulation model for FaaS performance benchmarking using predictive validation
    David Ferreira Quaresma, Thiago Emmanuel Pereira, Daniel Fireman
    http://arxiv.org/abs/2106.15555v1

    • [cs.DC]workload forecasting and resource management models based on machine learning for cloud computing environments
    Deepika Saxena, Ashutosh Kumar Singh
    http://arxiv.org/abs/2106.15112v1

    • [cs.DL]When standard network measures fail to rank journals: A theoretical and empirical analysis
    Giacomo Vaccario, Luca Verginer
    http://arxiv.org/abs/2106.15541v1

    • [cs.HC]An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
    Nirmalya Thakur, Chia Y. Han
    http://arxiv.org/abs/2106.15609v1

    • [cs.HC]Evaluation of Automated Image Descriptions for Visually Impaired Students
    Anett Hoppe, David Morris, Ralph Ewerth
    http://arxiv.org/abs/2106.15553v1

    • [cs.HC]Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
    Nirmalya Thakur, Chia Y. Han
    http://arxiv.org/abs/2106.15599v1

    • [cs.HC]Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
    Nirmalya Thakur, Chia Y. Han
    http://arxiv.org/abs/2106.15606v1

    • [cs.IR]A new system for evaluating brand importance: A use case from the fashion industry
    A. Fronzetti Colladon, F. Grippa, L. Segneri
    http://arxiv.org/abs/2106.14657v1

    • [cs.IR]Improving Sequential Recommendation Consistency with Self-Supervised Imitation
    Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding, Zhen He, Bo Long
    http://arxiv.org/abs/2106.14031v2

    • [cs.IR]On component interactions in two-stage recommender systems
    Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus
    http://arxiv.org/abs/2106.14979v1

    • [cs.IT]Coalition Formation Games for Improved Cell-Edge User Service in Downlink NOMA and MU-MIMO Small Cell Systems
    Panagiotis Georgakopoulos, Tafseer Akhtar, Christos Mavrokefalidis, Ilias Politis, Kostas Berberidis, Stavros Koulouridis
    http://arxiv.org/abs/2106.15495v1

    • [cs.IT]End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping
    Fayçal Ait Aoudia, Jakob Hoydis
    http://arxiv.org/abs/2106.15158v1

    • [cs.IT]Generalized Power Method for Generalized Orthogonal Procrustes Problem: Global Convergence and Optimization Landscape Analysis
    Shuyang Ling
    http://arxiv.org/abs/2106.15493v1

    • [cs.IT]Generalizing Syndrome Decoding problem to the totally Non-negative Grassmannian
    Kelechi Chuwkunonyerem Emerole
    http://arxiv.org/abs/2106.15526v1

    • [cs.IT]On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers
    Matteo Allaix, Seunghoan Song, Lukas Holzbaur, Tefjol Pllaha, Masahito Hayashi, Camilla Hollanti
    http://arxiv.org/abs/2106.14719v2

    • [cs.IT]Optimization Techniques in Reconfigurable Intelligent Surface Aided Networks
    Biqian Feng, Junyuan Gao, Yongpeng Wu, Wenjun Zhang, Xiang-Gen Xia, Chengshan Xiao
    http://arxiv.org/abs/2106.15458v1

    • [cs.IT]Recent Colorings And Labelings In Topological Coding
    Bing Yao, Hongyu Wang
    http://arxiv.org/abs/2106.15254v1

    • [cs.IT]Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends
    Zhiqin Wang, Kaifeng Han, Jiamo Jiang, Zhiqing Wei, Guangxu Zhu, Zhiyong Feng, Jianmin Lu, Chunwei Meng
    http://arxiv.org/abs/2106.15197v1

    • [cs.LG]A Convergent and Efficient Deep Q Network Algorithm
    Zhikang T. Wang, Masahito Ueda
    http://arxiv.org/abs/2106.15419v1

    • [cs.LG]A Mechanism for Producing Aligned Latent Spaces with Autoencoders
    Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
    http://arxiv.org/abs/2106.15456v1

    • [cs.LG]A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
    Nikunj Saunshi, Arushi Gupta, Wei Hu
    http://arxiv.org/abs/2106.15615v1

    • [cs.LG]Adaptive Sample Selection for Robust Learning under Label Noise
    Deep Patel, P. S. Sastry
    http://arxiv.org/abs/2106.15292v1

    • [cs.LG]Adversarial Robustness of Streaming Algorithms through Importance Sampling
    Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
    http://arxiv.org/abs/2106.14952v1

    • [cs.LG]An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble
    Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
    http://arxiv.org/abs/2106.15412v1

    • [cs.LG]As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance
    Fiorella Wever, T. Anderson Keller, Victor Garcia, Laura Symul
    http://arxiv.org/abs/2106.15577v1

    • [cs.LG]Attack Transferability Characterization for Adversarially Robust Multi-label Classification
    Zhuo Yang, Yufei Han, Xiangliang Zhang
    http://arxiv.org/abs/2106.15360v1

    • [cs.LG]Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins
    Ankush Chakrabarty, Gordon Wichern, Christopher Laughman
    http://arxiv.org/abs/2106.15502v1

    • [cs.LG]Certifiable Machine Unlearning for Linear Models
    Ananth Mahadevan, Michael Mathioudakis
    http://arxiv.org/abs/2106.15093v1

    • [cs.LG]Classification of Consumer Belief Statements From Social Media
    Gerhard Hagerer, Wenbin Le, Hannah Danner, Georg Groh
    http://arxiv.org/abs/2106.15498v1

    • [cs.LG]Continuous Latent Process Flows
    Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
    http://arxiv.org/abs/2106.15580v1

    • [cs.LG]Convolutional Hypercomplex Embeddings for Link Prediction
    Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2106.15230v1

    • [cs.LG]Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
    Deborah Pereg, Israel Cohen, Anthony A. Vassiliou
    http://arxiv.org/abs/2106.15296v1

    • [cs.LG]Counterfactual Explanations for Arbitrary Regression Models
    Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni
    http://arxiv.org/abs/2106.15212v1

    • [cs.LG]Cross-domain error minimization for unsupervised domain adaptation
    Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
    http://arxiv.org/abs/2106.15057v1

    • [cs.LG]Curious Explorer: a provable exploration strategy in Policy Learning
    Marco Miani, Maurizio Parton, Marco Romito
    http://arxiv.org/abs/2106.15503v1

    • [cs.LG]Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers
    Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams
    http://arxiv.org/abs/2106.15017v1

    • [cs.LG]ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
    Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
    http://arxiv.org/abs/2106.15083v1

    • [cs.LG]Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
    Oliver Bryniarski, Nabeel Hingun, Pedro Pachuca, Vincent Wang, Nicholas Carlini
    http://arxiv.org/abs/2106.15023v1

    • [cs.LG]Evolving-Graph Gaussian Processes
    David Blanco-Mulero, Markus Heinonen, Ville Kyrki
    http://arxiv.org/abs/2106.15127v1

    • [cs.LG]Expert Q-learning: Deep Q-learning With State Values From Expert Examples
    Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
    http://arxiv.org/abs/2106.14642v2

    • [cs.LG]Explaining the Performance of Multi-label Classification Methods with Data Set Properties
    Jasmin Bogatinovski, Ljupčo Todorovski, Sašo Džeroski, Dragi Kocev
    http://arxiv.org/abs/2106.15411v1

    • [cs.LG]FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks
    Mabrook S. Al-Rakhami, Abdu Gumaei1, Meteb Altaf, Mohammad Mehedi Hassan, Bader Fahad Alkhamees, Khan Muhammad, Giancarlo Fortino
    http://arxiv.org/abs/2106.15049v1

    • [cs.LG]Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
    Hanping Zhang, Yuhong Guo
    http://arxiv.org/abs/2106.15587v1

    • [cs.LG]Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
    Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu
    http://arxiv.org/abs/2106.15239v1

    • [cs.LG]Geometry-aware Transformer for molecular property prediction
    Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon
    http://arxiv.org/abs/2106.15516v1

    • [cs.LG]Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
    Guillermo Infante, Anders Jonsso, Vicenç Gómez
    http://arxiv.org/abs/2106.15380v1

    • [cs.LG]GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
    Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
    http://arxiv.org/abs/2106.15504v1

    • [cs.LG]GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures
    Xiangzhe Kong, Zhixing Tan, Yang Liu
    http://arxiv.org/abs/2106.15098v1

    • [cs.LG]High-dimensional separability for one- and few-shot learning
    Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Y. Tyukin
    http://arxiv.org/abs/2106.15416v1

    • [cs.LG]INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
    Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim
    http://arxiv.org/abs/2106.15185v1

    • [cs.LG]Interactive Dimensionality Reduction for Comparative Analysis
    Takanori Fujiwara, Xinhai Wei, Jian Zhao, Kwan-Liu Ma
    http://arxiv.org/abs/2106.15481v1

    • [cs.LG]Joint Majorization-Minimization for Nonnegative Matrix Factorization with the 今日学术视野(2021.7.1) - 图5-divergence
    Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
    http://arxiv.org/abs/2106.15214v1

    • [cs.LG]Learning Task Informed Abstraction
    Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi Jaakkola
    http://arxiv.org/abs/2106.15612v1

    • [cs.LG]Learning from Multiple Annotators by Incorporating Instance Features
    Jingzheng Li, Hailong Sun, Jiyi Li, Zhijun Chen, Renshuai Tao, Yufei Ge
    http://arxiv.org/abs/2106.15146v1

    • [cs.LG]Learning latent causal graphs via mixture oracles
    Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam
    http://arxiv.org/abs/2106.15563v1

    • [cs.LG]Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs
    Wessel Radstok, Mel Chekol
    http://arxiv.org/abs/2106.15223v1

    • [cs.LG]MAML is a Noisy Contrastive Learner
    Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen
    http://arxiv.org/abs/2106.15367v1

    • [cs.LG]Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
    Michael Chang, Sidhant Kaushik, Sergey Levine, Thomas L. Griffiths
    http://arxiv.org/abs/2106.14993v1

    • [cs.LG]Near-Optimal Explainable 今日学术视野(2021.7.1) - 图6-Means for All Dimensions
    Moses Charikar, Lunjia Hu
    http://arxiv.org/abs/2106.15566v1

    • [cs.LG]On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
    Edward Elson Kosasih, Joaquin Cabezas, Xavier Sumba, Piotr Bielak, Kamil Tagowski, Kelvin Idanwekhai, Benedict Aaron Tjandra, Arian Rokkum Jamasb
    http://arxiv.org/abs/2106.15529v1

    • [cs.LG]Online Interaction Detection for Click-Through Rate Prediction
    Qiuqiang Lin, Chuanhou Gao
    http://arxiv.org/abs/2106.15400v1

    • [cs.LG]Optimal Rates for Random Order Online Optimization
    Uri Sherman, Tomer Koren, Yishay Mansour
    http://arxiv.org/abs/2106.15207v1

    • [cs.LG]Personalized Federated Le
    1000
    arning with Gaussian Processes
    Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
    http://arxiv.org/abs/2106.15482v1

    • [cs.LG]Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
    Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu
    http://arxiv.org/abs/2106.15128v1

    • [cs.LG]SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
    Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
    http://arxiv.org/abs/2106.15147v1

    • [cs.LG]Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
    Liwei Wang, Akshay Iyer, Suraj Yerramilli, Daniel Apley, Ping Zhu, Wei Chen
    http://arxiv.org/abs/2106.15356v1

    • [cs.LG]Self-Contrastive Learning
    Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
    http://arxiv.org/abs/2106.15499v1

    • [cs.LG]Semi-supervised learning with Bayesian Confidence Propagation Neural Network
    Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
    http://arxiv.org/abs/2106.15546v1

    • [cs.LG]Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
    Dominik Stöger, Mahdi Soltanolkotabi
    http://arxiv.org/abs/2106.15013v1

    • [cs.LG]Subgroup Generalization and Fairness of Graph Neural Networks
    Jiaqi Ma, Junwei Deng, Qiaozhu Mei
    http://arxiv.org/abs/2106.15535v1

    • [cs.LG]The Values Encoded in Machine Learning Research
    Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
    http://arxiv.org/abs/2106.15590v1

    • [cs.LG]Towards Generalisable Deep Inertial Tracking via Geometry-Aware Learning
    Mohammed Alloulah, Maximilian Arnold, Anton Isopoussu
    http://arxiv.org/abs/2106.15178v1

    • [cs.LG]Zoo-Tuning: Adaptive Transfer from a Zoo of Models
    Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
    http://arxiv.org/abs/2106.15434v1

    • [cs.LO]The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2ExpTime-hard
    Bartosz Bednarczyk, Sebastian Rudolph
    http://arxiv.org/abs/2106.15150v1

    • [cs.NE]Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning
    Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer
    http://arxiv.org/abs/2106.15392v1

    • [cs.NE]Reliable and Fast Recurrent Neural Network Architecture Optimization
    Andrés Camero, Jamal Toutouh, Enrique Alba
    http://arxiv.org/abs/2106.15295v1

    • [cs.NE]Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
    Vineet Kotariya, Udayan Ganguly
    http://arxiv.org/abs/2106.15420v1

    • [cs.NE]Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
    Alexandre Variengien, Stefano Nichele, Tom Glover, Sidney Pontes-Filho
    http://arxiv.org/abs/2106.15240v1

    • [cs.NI]Measuring close proximity interactions in summer camps during the COVID-19 pandemic
    E. Leoni, G. Cencetti, G. Santin, T. Istomin, D. Molteni, G. P. Picco, E. Farella, B. Lepri, A. M. Murphy
    http://arxiv.org/abs/2106.14750v1

    • [cs.NI]MuViS: Online MU-MIMO Grouping for Multi-User Applications Over Commodity WiFi
    Hannaneh Barahouei Pasandi, Tamer Nadeem, Hadi Amirpour
    http://arxiv.org/abs/2106.15262v1

    • [cs.RO]A Survey on Trust Metrics for Autonomous Robotic Systems
    Vincenzo DiLuoffo, William R. Michalson
    http://arxiv.org/abs/2106.15015v1

    • [cs.RO]A Toolchain to Design, Execute, and Monitor Robots Behaviors
    Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella
    http://arxiv.org/abs/2106.15211v1

    • [cs.RO]Design for a blind stereoscopic picture taker
    Damian Moctezuma Enriquez, Eduardo Rodarte Leyva
    http://arxiv.org/abs/2106.14949v1

    • [cs.RO]GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
    Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven Dickinson, Animesh Garg
    http://arxiv.org/abs/2106.14973v1

    • [cs.RO]Model Predictive Control for Trajectory Tracking on Differentiable Manifolds
    Guozheng Lu, Wei Xu, Fu Zhang
    http://arxiv.org/abs/2106.15233v1

    • [cs.RO]Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots
    Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Marcelo Becker, Girish Chowdhary
    http://arxiv.org/abs/2106.15029v1

    • [cs.RO]Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
    Lu Gan, Youngji Kim, Jessy W. Grizzle, Jeffrey M. Walls, Ayoung Kim, Ryan M. Eustice, Maani Ghaffari
    http://arxiv.org/abs/2106.14986v1

    • [cs.RO]On the Implementation of Behavior Trees in Robotics
    Michele Colledanchise, Lorenzo Natale
    http://arxiv.org/abs/2106.15227v1

    • [cs.RO]Online Estimation and Coverage Control with Heterogeneous Sensing Information
    Andrew McDonald, Lai Wei, Vaibhav Srivastava
    http://arxiv.org/abs/2106.14984v1

    • [cs.RO]Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis
    Yiduo Wang, Milad Ramezani, Matias Mattamala, Maurice Fallon
    http://arxiv.org/abs/2106.15446v1

    • [cs.RO]Trust is not all about performance: trust biases in interaction with humans, robots and computers
    Joshua Zonca, Anna Folso, Alessandra Sciutti
    http://arxiv.org/abs/2106.14888v1

    • [cs.SD]Sounds of COVID-19: exploring realistic performance of audio-based digital testing
    Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo
    http://arxiv.org/abs/2106.15523v1

    • [cs.SI]BOTTER: A framework to analyze social bots in Twitter
    Javier Pastor-Galindo, Félix Gómez Mármol, Gregorio Martínez Pérez
    http://arxiv.org/abs/2106.15543v1

    • [cs.SI]Detecting Changed-Hands Online Review Accounts
    Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu
    http://arxiv.org/abs/2106.15352v1

    • [cs.SI]Location Prediction via Bi-direction Speculation and Dual-level Association
    Xixi Li1, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki
    http://arxiv.org/abs/2106.15070v1

    • [cs.SI]Text mining and sentiment analysis of COVID-19 tweets
    Qihuang Zhang, Grace Y. Yi, Li-Pang Chen, Wenqing He
    http://arxiv.org/abs/2106.15354v1

    • [cs.SI]The cityseer Python package for pedestrian-scale network-based urban analysis
    Gareth D. Simons
    http://arxiv.org/abs/2106.15314v1

    • [cs.SI]Understanding the growth of the Fediverse through the lens of Mastodon
    Lucio La Cava, Sergio Greco, Andrea Tagarelli
    http://arxiv.org/abs/2106.15473v1

    • [econ.EM]A Note on the Topology of the First Stage of 2SLS with Many Instruments
    Guy Tchuente
    http://arxiv.org/abs/2106.15003v1

    • [eess.AS]A Survey on Neural Speech Synthesis
    Xu Tan, Tao Qin, Frank Soong, Tie-Yan Liu
    http://arxiv.org/abs/2106.15561v1

    • [eess.AS]DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
    Thi Ngoc Tho Nguyen, Karn Watcharasupat, Ngoc Khanh Nguyen, Douglas L. Jones, Woon Seng Gan
    http://arxiv.org/abs/2106.15190v1

    • [eess.AS]FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
    Taejun Bak, Jae-Sung Bae, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho
    http://arxiv.org/abs/2106.15123v1

    • [eess.AS]GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis
    Jinhyeok Yang, Jae-Sung Bae, Taejun Bak, Youngik Kim, Hoon-Young Cho
    http://arxiv.org/abs/2106.15153v1

    • [eess.IV]A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
    Uddeshya Upadhyay, Suyash Awate
    http://arxiv.org/abs/2106.15575v1

    • [eess.IV]ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
    Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
    http://arxiv.org/abs/2106.14591v2

    • [eess.IV]Accelerated Multi-Modal MR Imaging with Transformers
    Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao
    http://arxiv.org/abs/2106.14248v2

    • [eess.IV]Data augmentation for deep learning based accelerated MRI reconstruction with limited data
    Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
    http://arxiv.org/abs/2106.14947v1

    • [eess.IV]IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
    Qing Wu, Yuwei Li, Lan Xu, Ruiming Feng, Hongjiang Wei, Qing Yang, Boliang Yu, Xiaozhao Liu, Jingyi Yu, Yuyao Zhang
    http://arxiv.org/abs/2106.15097v1

    • [eess.IV]Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
    Yucheng Lu, Seung-Won Jung
    http://arxiv.org/abs/2106.14844v2

    • [eess.IV]Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
    Zhiyang Lu, Zheng Li, Jun Wang, Jun shi, Dinggang Shen
    http://arxiv.org/abs/2106.15395v1

    • [eess.SP]Federated Dynamic Spectrum Access
    Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu
    http://arxiv.org/abs/2106.14976v1

    • [math.OC]Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition
    Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
    http://arxiv.org/abs/2106.14995v1

    • [math.OC]Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
    Ricardo Quinteiro, Francisco S. Melo, Pedro A. Santos
    http://arxiv.org/abs/2106.15594v1

    • [math.OC]Robust Distributed Optimization With Randomly Corrupted Gradients
    Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
    http://arxiv.org/abs/2106.14956v1

    • [math.PR]Central Limit Theorem for product of dependent random variables
    JunTao Duan, Ionel Popescu, Fan Zhou
    http://arxiv.org/abs/2106.14825v1

    • [math.ST]A novel approach to photon transfer conversion gain estimation
    Aaron Hendrickson
    http://arxiv.org/abs/2106.14958v1

    • [math.ST]Improved Convergence Rates for the Orthogonal Greedy Algorithm
    Jonathan W. Siegel, Jinchao Xu
    http://arxiv.org/abs/2106.15000v1

    • [math.ST]Isotonic regression for functionals of elicitation complexity greater than one
    Anja Mühlemann, Johanna F. Ziegel
    http://arxiv.org/abs/2106.15369v1

    • [math.ST]Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator
    Paul H. Garthwaite, Maha W. Moustafa, Fadlalla G. Elfadaly
    http://arxiv.org/abs/2106.15521v1

    • [math.ST]New copulas and their applications to symmetrizations of bivariate copulas
    Mohamed El Maazouz, Ahmed Sani
    http://arxiv.org/abs/2106.14240v1

    • [math.ST]On the Optimal Configuration of a Square Array Group Testing Algorithm
    Ugnė Čižikovienė, Viktor Skorniakov
    http://arxiv.org/abs/2106.15603v1

    • [math.ST]Whittle estimation with (quasi-)analytic wavelets
    Sophie Achard, Irène Gannaz
    http://arxiv.org/abs/2106.14633v1

    • [physics.acc-ph]Local field reconstruction from rotating coil measurements in particle accelerator magnets
    Ion Gabriel Ion, Melvin Liebsch, Abele Simona, Dimitrios Loukrezis, Carlo Petrone, Stephan Russenschuck, Herbert De Gersem, Sebastian Schöps
    http://arxiv.org/abs/2106.15168v1

    • [physics.soc-ph]Damping effect in innovation processes: case studies from Twitter
    Giacomo Aletti, Irene Crimaldi
    http://arxiv.org/abs/2106.15528v1

    • [q-bio.GN]Machine learning for plant microRNA prediction: A systematic review
    Shyaman Jayasundara, Sandali Lokuge, Puwasuru Ihalagedara, Damayanthi Herath
    http://arxiv.org/abs/2106.15159v1

    • [q-bio.GN]The Power of Alignment-Free Histogram-based Functions: a Comprehensive Genome Scale Experimental Analysis — Version 1
    Giuseppe Cattaneo, Umberto Ferraro Petrillo, Raffaele Giancarlo, Francesco Palini, Chiara Romualdi
    http://arxiv.org/abs/2106.15531v1

    • [q-bio.MN]Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks
    Catharina Elisabeth Graafland, José Manuel Gutiérrez
    http://arxiv.org/abs/2106.15365v1

    • [quant-ph]On exploring practical potentials of quantum auto-encoder with advantages
    Yuxuan Du, Dacheng Tao
    http://arxiv.org/abs/2106.15432v1

    • [stat.AP]How to Account for Alternatives When Comparing Effects: Revisiting ‘Bringing Education to Afghan Girls’
    Dana Burde, Joel Middleton, Cyrus Samii, Ye Wang
    http://arxiv.org/abs/2106.15076v1

    • [stat.AP]Place of Occurrence of COVID-19 Deaths in the UK: Modelling and Analysis
    Spencer A. Thomas
    http://arxiv.org/abs/2106.15381v1

    • [stat.AP]Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
    Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-yi Su, Sheng-Tai Huang
    http://arxiv.org/abs/2106.14384v2

    • [stat.ME]Causal Inference under Temporal and Spatial Interference
    Ye Wang
    http://arxiv.org/abs/2106.15074v1

    • [stat.ME]Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial
    Anastasios A. Tsiatis, Marie Davidian, Shannon T. Holloway
    http://arxiv.org/abs/2106.15559v1

    • [stat.ME]Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression
    Martin Jankowiak
    http://arxiv.org/abs/2106.14981v1

    • [stat.ME]Inference in Spatial Experiments with Interference using the SpatialEffect Package
    Peter M. Aronow, Cyrus Samii, Jonathan Sullivan, Ye Wang
    http://arxiv.org/abs/2106.15081v1

    • [stat.ME]Logistic-tree normal model for microbiome compositions
    Zhuoqun Wang, Jialiang Mao, Li Ma
    http://arxiv.org/abs/2106.15051v1

    • [stat.ME]Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation
    Federico Camerlenghi, Stefano Favaro, Lorenzo Masoero, Tamara Broderick
    http://arxiv.org/abs/2106.15480v1

    • [stat.ME]Topological Data Analysis through alignment of Persistence Landscapes
    James Matuk, Sebastian Kurtek, Karthik Bharath
    http://arxiv.org/abs/2106.15436v1

    • [stat.ML]Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points
    Lili Su, Jiaming Xu, Pengkun Yang
    http://arxiv.org/abs/2106.15216v1

    • [stat.ML]Characterization of the Variation Spaces Corresponding to Shallow Neural Networks
    Jonathan W. Siegel, Jinchao Xu
    http://arxiv.org/abs/2106.15002v1

    • [stat.ML]Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
    Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Şimşekli
    http://arxiv.org/abs/2106.15427v1

    • [stat.ML]Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
    Yue Gao, Garvesh Raskutti
    http://arxiv.org/abs/2106.14630v2

    • [stat.ML]Meta-learning for Matrix Factorization without Shared Rows or Columns
    Tomoharu Iwata
    http://arxiv.org/abs/2106.15133v1

    • [stat.ML]Sharp Lower Bounds on the Approximation Rate of Shallow Neural Networks
    Jonathan W. Siegel, Jinchao Xu
    http://arxiv.org/abs/2106.14997v1

    • [stat.ML]Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
    Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen
    http://arxiv.org/abs/2106.14999v1

    • [stat.ML]Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
    Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
    http://arxiv.org/abs/2106.15358v1

    • [stat.ML]Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2106.15379v1