cond-mat.dis-nn - 无序系统与神经网络
    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.DS - 数据结构与算法
    cs.ET - 新兴技术
    cs.GR - 计算机图形学
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.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
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.CO - 组合数学
    math.NA - 数值分析
    math.PR - 概率
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
    • [cs.AI]DeepStochLog: Neural Stochastic Logic Programming
    • [cs.AI]Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
    • [cs.AI]Not all users are the same: Providing personalized explanations for sequential decision making problems
    • [cs.AI]Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
    • [cs.CL]A Simple and Practical Approach to Improve Misspellings in OCR Text
    • [cs.CL]ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
    • [cs.CL]An Information Retrieval Approach to Building Datasets for Hate Speech Detection
    • [cs.CL]BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification
    • [cs.CL]Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
    • [cs.CL]Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
    • [cs.CL]End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
    • [cs.CL]It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
    • [cs.CL]Mixtures of Deep Neural Experts for Automated Speech Scoring
    • [cs.CL]NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
    • [cs.CL]On Positivity Bias in Negative Reviews
    • [cs.CL]On the Diversity and Limits of Human Explanations
    • [cs.CL]PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
    • [cs.CL]Recognising Biomedical Names: Challenges and Solutions
    • [cs.CL]Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
    • [cs.CL]STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
    • [cs.CL]Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens
    • [cs.CR]Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
    • [cs.CR]First Step Towards EXPLAINable DGA Multiclass Classification
    • [cs.CR]Is Downloading this App Consistent with my Values? Conceptualizing a Value-Centered Privacy Assistant
    • [cs.CR]MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
    • [cs.CR]Privid: Practical, Privacy-Preserving Video Analytics Queries
    • [cs.CR]Teacher Model Fingerprinting Attacks Against Transfer Learning
    • [cs.CV]3D human tongue reconstruction from single “in-the-wild” images
    • [cs.CV]A Circular-Structured Representation for Visual Emotion Distribution Learning
    • [cs.CV]A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy
    • [cs.CV]A new Video Synopsis Based Approach Using Stereo Camera
    • [cs.CV]Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
    • [cs.CV]Alias-Free Generative Adversarial Networks
    • [cs.CV]Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
    • [cs.CV]Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
    • [cs.CV]Co-advise: Cross Inductive Bias Distillation
    • [cs.CV]Deep unsupervised 3D human body reconstruction from a sparse set of landmarks
    • [cs.CV]Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
    • [cs.CV]Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
    • [cs.CV]Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
    • [cs.CV]Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
    • [cs.CV]Fine-Tuning StyleGAN2 For Cartoon Face Generation
    • [cs.CV]Fourier Transform Approximation as an Auxiliary Task for Image Classification
    • [cs.CV]FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
    • [cs.CV]Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
    • [cs.CV]Gradient-Based Interpretability Methods and Binarized Neural Networks
    • [cs.CV]How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
    • [cs.CV]Image-to-Image Translation of Synthetic Samples for Rare Classes
    • [cs.CV]Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
    • [cs.CV]LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction
    • [cs.CV]Multi-Class Classification of Blood Cells — End to End Computer Vision based diagnosis case study
    • [cs.CV]Mutual-Information Based Few-Shot Classification
    • [cs.CV]Neural Fashion Image Captioning : Accounting for Data Diversity
    • [cs.CV]On Matrix Factorizations in Subspace Clustering
    • [cs.CV]Open Images V5 Text Annotation and Yet Another Mask Text Spotter
    • [cs.CV]P2T: Pyramid Pooling Transformer for Scene Understanding
    • [cs.CV]PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database
    • [cs.CV]Real-time Instance Segmentation with Discriminative Orientation Maps
    • [cs.CV]Region-Aware Network: Model Human’s Top-Down Visual Perception Mechanism for Crowd Counting
    • [cs.CV]Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal
    • [cs.CV]Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
    • [cs.CV]The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes
    • [cs.CV]Tracking Instances as Queries
    • [cs.CV]Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
    • [cs.CV]Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
    • [cs.CV]Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
    • [cs.CV]Vision-based Behavioral Recognition of Novelty Preference in Pigs
    • [cs.CV]Volume Rendering of Neural Implicit Surfaces
    • [cs.CY]A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability
    • [cs.CY]Diversity and density of urban functions in station areas
    • [cs.DC]APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
    • [cs.DC]BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
    • [cs.DC]Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation
    • [cs.DC]Distributed coloring and the local structure of unit-disk graphs
    • [cs.DC]ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search
    • [cs.DC]Energy hardware and workload aware job scheduling towards interconnected HPC environments
    • [cs.DC]Particle-In-Cell Simulation using Asynchronous Tasking
    • [cs.DC]Revisiting the Arguments for Edge Computing Research
    • [cs.DC]TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments
    • [cs.DL]BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing
    • [cs.DS]Better Algorithms for Individually Fair 今日学术视野(2021.6.25) - 图1-Clustering
    • [cs.ET]NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
    • [cs.GR]Real-time Neural Radiance Caching for Path Tracing
    • [cs.GT]From Griefing to Stability in Blockchain Mining Economies
    • [cs.HC]#StayHome Playing LoL — Analyzing Players’ Activity and Social Bonds in League of Legends During Covid-19 Lockdowns
    • [cs.HC]A Review of Assistive Technologies for Activities of Daily Living of Elderly
    • [cs.HC]CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot
    • [cs.IR]A Graph-based Method for Session-based Recommendations
    • [cs.IR]BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System
    • [cs.IR]GraphConfRec: A Graph Neural Network-Based Conference Recommender System
    • [cs.IR]Improving Transformer-based Sequential Recommenders through Preference Editing
    • [cs.IR]Learnt Sparsity for Effective and Interpretable Document Ranking
    • [cs.IT]A partial information decomposition for discrete and continuous variables
    • [cs.IT]An Effective Bernstein-type Bound on Shannon Entropy over Countably Infinite Alphabets
    • [cs.IT]Cell-Free Massive MIMO with Radio Stripes for Indoor Wireless Energy Transfer
    • [cs.IT]Computation Rate Maximization for Multiuser Mobile Edge Computing Systems With Dynamic Energy Arrivals
    • [cs.IT]Hybrid Non-Binary Repeated Polar Codes
    • [cs.IT]Noisy Adaptive Group Testing via Noisy Binary Search
    • [cs.IT]Optimal Exponents In Cascaded Hypothesis Testing under Expected Rate Constraints
    • [cs.IT]Polycyclic Codes Associated with Trinomials: Good Codes and Open Questions
    • [cs.LG]A Practical & Unified Notation for Information-Theoretic Quantities in ML
    • [cs.LG]A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions
    • [cs.LG]A Unified Approach to Fair Online Learning via Blackwell Approachability
    • [cs.LG]AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
    • [cs.LG]ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
    • [cs.LG]Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
    • [cs.LG]Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
    • [cs.LG]Beyond Predictions in Neural ODEs: Identification and Interventions
    • [cs.LG]Bregman Gradient Policy Optimization
    • [cs.LG]Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds
    • [cs.LG]Exploring the Representational Power of Graph Autoencoder
    • [cs.LG]Fairness for Image Generation with Uncertain Sensitive Attributes
    • [cs.LG]False perfection in machine prediction: Detecting and assessing circularity problems in machine learning
    • [cs.LG]Feature Alignment for Approximated Reversibility in Neural Networks
    • [cs.LG]Feature Attributions and Counterfactual Explanations Can Be Manipulated
    • [cs.LG]Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
    • [cs.LG]From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
    • [cs.LG]IQ-Learn: Inverse soft-Q Learning for Imitation
    • [cs.LG]Imitation Learning: Progress, Taxonomies and Opportunities
    • [cs.LG]Learning Explainable Representations of Malware Behavior
    • [cs.LG]Learning Identity-Preserving Transformations on Data Manifolds
    • [cs.LG]Learning Multimodal VAEs through Mutual Supervision
    • [cs.LG]Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
    • [cs.LG]Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays
    • [cs.LG]Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning
    • [cs.LG]Near-Optimal Linear Regression under Distribution Shift
    • [cs.LG]Q-Learning Lagrange Policies for Multi-Action Restless Bandits
    • [cs.LG]Random Effect Bandits
    • [cs.LG]Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
    • [cs.LG]Regret-optimal Estimation and Control
    • [cs.LG]Secure Domain Adaptation with Multiple Sources
    • [cs.LG]Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
    • [cs.LG]Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
    • [cs.LG]Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
    • [cs.LG]Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
    • [cs.LG]Test-time Collective Prediction
    • [cs.LG]The Rate of Convergence of Variation-Constrained Deep Neural Networks
    • [cs.LG]Towards Consistent Predictive Confidence through Fitted Ensembles
    • [cs.LG]Training Data Subset Selection for Regression with Controlled Generalization Error
    • [cs.LG]Universal Consistency of Deep Convolutional Neural Networks
    • [cs.LG]Weisfeiler and Lehman Go Cellular: CW Networks
    • [cs.LG]Who Leads and Who Follows in Strategic Classification?
    • [cs.NE]A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization
    • [cs.NE]Prospects for Analog Circuits in Deep Networks
    • [cs.NI]Enlaces de rádio de longa distância utilizando a banda de HF
    • [cs.RO]Active Exploitation of Redundancies in Reconfigurable Multi-Robot Systems
    • [cs.RO]Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
    • [cs.RO]Collaborative Visual Inertial SLAM for Multiple Smart Phones
    • [cs.RO]Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms
    • [cs.RO]Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies
    • [cs.RO]Prevention and Resolution of Conflicts in Social Navigation — a Survey
    • [cs.RO]Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
    • [cs.RO]Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
    • [cs.SD]Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
    • [cs.SI]Bailouts in Financial Networks
    • [cs.SI]Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
    • [cs.SI]Comparing the Structures and Characteristics of Different Game Social Networks — The Steam Case
    • [cs.SI]Polarization in Geometric Opinion Dynamics
    • [eess.IV]CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis
    • [eess.IV]Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
    • [eess.IV]Diabetic Retinopathy Detection using Ensemble Machine Learning
    • [eess.IV]FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
    • [eess.IV]High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
    • [eess.IV]Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
    • [eess.IV]Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model
    • [eess.IV]Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
    • [eess.IV]STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
    • [eess.SP]Wavenumber-Division Multiplexing in Line-of-Sight Holographic MIMO Communications
    • [eess.SY]Mitigating the Impact of Distributed Generations on Relay Coordination Using Fault Current Limiters
    • [math.CO]Linear Cutting Blocking Sets and Minimal Codes in the Rank Metric
    • [math.CO]New binary self-dual codes of lengths 80, 84 and 96 from composite matrices
    • [math.NA]Lagrangian dual framework for conservative neural network solutions of kinetic equations
    • [math.PR]Gaussian and Hermite Ornstein-Uhlenbeck processes
    • [math.ST]Bayesian Chance Constrained Optimization: Approximations and Statistical Consistency
    • [math.ST]Identifiability and estimation of meta-elliptical copula generators
    • [physics.soc-ph]Randomizing hypergraphs preserving degree correlation and local clustering
    • [quant-ph]Learning quantum circuits of some 今日学术视野(2021.6.25) - 图2 gates
    • [stat.AP]Assessing epidemic curves for evidence of superspreading
    • [stat.AP]COVID-19 Forecasts Using Internet Search Information in the United States
    • [stat.AP]Changepoint Detection: An Analysis of the Central England Temperature Series
    • [stat.AP]Regularised B-splines projected Gaussian Process priors to estimate the age profile of COVID-19 deaths before and after vaccine roll-out
    • [stat.CO]The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time
    • [stat.ME]Analysis of the evolution of agroclimatic risks in a context of climate variability in the region of Segou in Mali
    • [stat.ME]Approximate Bayesian Computation with Path Signatures
    • [stat.ME]Bounds on Causal Effects and Application to High Dimensional Data
    • [stat.ME]Generalised Kernel Stein Discrepancy(GKSD): A Unifying Approach for Non-parametric Goodness-of-fit Testing
    • [stat.ME]Inference in High-dimensional Linear Regression
    • [stat.ME]Integrating relative survival in multi-state models — a non-parametric approach
    • [stat.ME]Online Updating Statistics for Heterogenous Updating Regressions via Homogenization Techniques
    • [stat.ML]Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks
    • [stat.ML]Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
    • [stat.ML]Innovations Autoencoder and its Application in Real-Time Anomaly Detection
    • [stat.ML]ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
    • [stat.ML]Pure Exploration in Kernel and Neural Bandits
    • [stat.ML]Sampling with Mirrored Stein Operators
    • [stat.ML]groupShapley: Efficient prediction explanation with Shapley values for feature groups

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

    • [cond-mat.dis-nn]Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
    Maxim Ziatdinov, Chun Yin Wong, Sergei V. Kalinin
    http://arxiv.org/abs/2106.12472v1

    • [cs.AI]DeepStochLog: Neural Stochastic Logic Programming
    Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
    http://arxiv.org/abs/2106.12574v1

    • [cs.AI]Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
    Fulya Trösser, Simon de Givry, George Katsirelos
    http://arxiv.org/abs/2106.12269v1

    • [cs.AI]Not all users are the same: Providing personalized explanations for sequential decision making problems
    Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
    http://arxiv.org/abs/2106.12207v1

    • [cs.AI]Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
    Stefan O’Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce
    http://arxiv.org/abs/2106.12151v1

    • [cs.CL]A Simple and Practical Approach to Improve Misspellings in OCR Text
    Junxia Lin, Johannes Ledolter
    http://arxiv.org/abs/2106.12030v1

    • [cs.CL]ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
    Yanjun Gao, Ting-hao, Huang, Rebecca J. Passonneau
    http://arxiv.org/abs/2106.12027v1

    • [cs.CL]An Information Retrieval Approach to Building Datasets for Hate Speech Detection
    Md Mustafizur Rahman, Dinesh Balakrishnan, Dhiraj Murthy, Mucahid Kutlu, Matthew Lease
    http://arxiv.org/abs/2106.09775v2

    • [cs.CL]BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification
    Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi
    http://arxiv.org/abs/2106.12495v1

    • [cs.CL]Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
    Charaf Eddine Benarab
    http://arxiv.org/abs/2106.12479v1

    • [cs.CL]Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
    Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi
    http://arxiv.org/abs/2106.12488v1

    • [cs.CL]End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
    Josef Jon, João Paulo Aires, Dušan Variš, Ondřej Bojar
    http://arxiv.org/abs/2106.12398v1

    • [cs.CL]It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
    Alexey Tikhonov, Max Ryabinin
    http://arxiv.org/abs/2106.12066v1

    • [cs.CL]Mixtures of Deep Neural Experts for Automated Speech Scoring
    Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna
    http://arxiv.org/abs/2106.12475v1

    • [cs.CL]NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
    Mikhail Galkin, Jiapeng Wu, Etienne Denis, William L. Hamilton
    http://arxiv.org/abs/2106.12144v1

    • [cs.CL]On Positivity Bias in Negative Reviews
    Madhusudhan Aithal, Chenhao Tan
    http://arxiv.org/abs/2106.12056v1

    • [cs.CL]On the Diversity and Limits of Human Explanations
    Chenhao Tan
    http://arxiv.org/abs/2106.11988v1

    • [cs.CL]PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
    Jiajie Zou, Yuran Zhang, Peiqing Jin, Cheng Luo, Xunyi Pan, Nai Ding
    http://arxiv.org/abs/2106.12373v1

    • [cs.CL]Recognising Biomedical Names: Challenges and Solutions
    Xiang Dai
    http://arxiv.org/abs/2106.12230v1

    • [cs.CL]Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
    Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
    http://arxiv.org/abs/2106.12384v1

    • [cs.CL]STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
    Nawshad Farruque, Randy Goebel, Osmar Zaiane, Sudhakar Sivapalan
    http://arxiv.org/abs/2106.10928v2

    • [cs.CL]Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens
    Mana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura
    http://arxiv.org/abs/2106.12131v1

    • [cs.CR]Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
    Arthur Drichel, Vincent Drury, Justus von Brandt, Ulrike Meyer
    http://arxiv.org/abs/2106.12343v1

    • [cs.CR]First Step Towards EXPLAINable DGA Multiclass Classification
    Arthur Drichel, Nils Faerber, Ulrike Meyer
    http://arxiv.org/abs/2106.12336v1

    • [cs.CR]Is Downloading this App Consistent with my Values? Conceptualizing a Value-Centered Privacy Assistant
    Sarah E. Carter
    http://arxiv.org/abs/2106.12458v1

    • [cs.CR]MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
    Chen Liu, Bo Li, Jun Zhao, Ming Su, Xu-Dong Liu
    http://arxiv.org/abs/2106.12288v1

    • [cs.CR]Privid: Practical, Privacy-Preserving Video Analytics Queries
    Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand Sarwate, Ravi Netravali
    http://arxiv.org/abs/2106.12083v1

    • [cs.CR]Teacher Model Fingerprinting Attacks Against Transfer Learning
    Yufei Chen, Chao Shen, Cong Wang, Yang Zhang
    http://arxiv.org/abs/2106.12478v1

    • [cs.CV]3D human tongue reconstruction from single “in-the-wild” images
    Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou, Stefanos Zafeiriou
    http://arxiv.org/abs/2106.12302v1

    • [cs.CV]A Circular-Structured Representation for Visual Emotion Distribution Learning
    Jingyuan Yang, Ji Lie, Leida Li, Xiumei Wang, Xinbo Gao
    http://arxiv.org/abs/2106.12450v1

    • [cs.CV]A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy
    Mengdi Gao, Ximeng Feng, Mufeng Geng, Zhe Jiang, Lei Zhu, Xiangxi Meng, Chuanqing Zhou, Qiushi Ren, Yanye Lu
    http://arxiv.org/abs/2106.12284v1

    • [cs.CV]A new Video Synopsis Based Approach Using Stereo Camera
    Talha Dilber, Mehmet Serdar Guzel, Erkan Bostanci
    http://arxiv.org/abs/2106.12362v1

    • [cs.CV]Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
    Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri, Jonghye Woo
    http://arxiv.org/abs/2106.12497v1

    • [cs.CV]Alias-Free Generative Adversarial Networks
    Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
    http://arxiv.org/abs/2106.12423v1

    • [cs.CV]Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
    Youshan Zhang, Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary J. Kunkel
    http://arxiv.org/abs/2106.12054v1

    • [cs.CV]Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
    Zejian Chen, Wei Zhuo, Tianfu Wang, Wufeng Xue, Dong Ni
    http://arxiv.org/abs/2106.12153v1

    • [cs.CV]Co-advise: Cross Inductive Bias Distillation
    Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao
    http://arxiv.org/abs/2106.12378v1

    • [cs.CV]Deep unsupervised 3D human body reconstruction from a sparse set of landmarks
    Meysam Madadi, Hugo Bertiche, Sergio Escalera
    http://arxiv.org/abs/2106.12282v1

    • [cs.CV]Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
    Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
    http://arxiv.org/abs/2106.12303v1

    • [cs.CV]Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
    Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
    http://arxiv.org/abs/2106.12442v1

    • [cs.CV]Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
    Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia
    http://arxiv.org/abs/2106.12123v1

    • [cs.CV]Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
    Esther Puyol-Anton, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
    http://arxiv.org/abs/2106.12387v1

    • [cs.CV]Fine-Tuning StyleGAN2 For Cartoon Face Generation
    Jihye Back
    http://arxiv.org/abs/2106.12445v1

    • [cs.CV]Fourier Transform Approximation as an Auxiliary Task for Image Classification
    Chen Liu
    http://arxiv.org/abs/2106.11478v2

    • [cs.CV]FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
    Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Zhou Bin, Liangjun Zhang
    http://arxiv.org/abs/2106.12449v1

    • [cs.CV]Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
    Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Reese Timothy, Jerry L. Prince, Georges El Fakhri, Jonghye Woo
    http://arxiv.org/abs/2106.12499v1

    • [cs.CV]Gradient-Based Interpretability Methods and Binarized Neural Networks
    Amy Widdicombe, Simon J. Julier
    http://arxiv.org/abs/2106.12569v1

    • [cs.CV]How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
    Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel
    http://arxiv.org/abs/2106.12447v1

    • [cs.CV]Image-to-Image Translation of Synthetic Samples for Rare Classes
    Edoardo Lanzini, Sara Beery
    http://arxiv.org/abs/2106.12212v1

    • [cs.CV]Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
    Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
    http://arxiv.org/abs/2106.12265v1

    • [cs.CV]LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction
    Farid Yagubbayli, Alessio Tonioni, Federico Tombari
    http://arxiv.org/abs/2106.12102v1

    • [cs.CV]Multi-Class Classification of Blood Cells — End to End Computer Vision based diagnosis case study
    Sai Sukruth Bezugam
    http://arxiv.org/abs/2106.12548v1

    • [cs.CV]Mutual-Information Based Few-Shot Classification
    Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
    http://arxiv.org/abs/2106.12252v1

    • [cs.CV]Neural Fashion Image Captioning : Accounting for Data Diversity
    Gilles Hacheme, Noureini Sayouti
    http://arxiv.org/abs/2106.12154v1

    • [cs.CV]On Matrix Factorizations in Subspace Clustering
    Reeshad Arian, Keaton Hamm
    http://arxiv.org/abs/2106.12016v1

    • [cs.CV]Open Images V5 Text Annotation and Yet Another Mask Text Spotter
    Ilya Krylov, Sergei Nosov, Vladislav Sovrasov
    http://arxiv.org/abs/2106.12326v1

    • [cs.CV]P2T: Pyramid Pooling Transformer for Scene Understanding
    Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng
    http://arxiv.org/abs/2106.12011v1

    • [cs.CV]PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database
    Fangyuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai
    http://arxiv.org/abs/2106.12139v1

    • [cs.CV]Real-time Instance Segmentation with Discriminative Orientation Maps
    Wentao Du, Zhiyu Xiang, Shuya Chen, Chengyu Qiao, Yiman Chen, Tingming Bai
    http://arxiv.org/abs/2106.12204v1

    • [cs.CV]Region-Aware Network: Model Human’s Top-Down Visual Perception Mechanism for Crowd Counting
    Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du
    http://arxiv.org/abs/2106.12163v1

    • [cs.CV]Sentinel-1 and Sentinel-2 Spatio-Temporal Data Fusion for Clouds Removal
    Alessandro Sebastianelli, Artur Nowakowski, Erika Puglisi, Maria Pia Del Rosso, Jamila Mifdal, Fiora Pirri, Pierre Philippe Mathieu, Silvia Liberata Ullo
    http://arxiv.org/abs/2106.12226v1

    • [cs.CV]Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
    Xianyuan Liu, Raivo Koot, Shuo Zhou, Tao Lei, Haiping Lu
    http://arxiv.org/abs/2106.12023v1

    • [cs.CV]The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes
    R. Kenny Jones, Rana Hanocka, Daniel Ritchie
    http://arxiv.org/abs/2106.12026v1

    • [cs.CV]Tracking Instances as Queries
    Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Ying Shan, Bin Feng, Wenyu Liu
    http://arxiv.org/abs/2106.11963v2

    • [cs.CV]Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
    Fernando Pérez-García, Catherine Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin
    http://arxiv.org/abs/2106.12014v1

    • [cs.CV]Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
    Libo Wang, Rui Li, Dongzhi Wang, Chenxi Duan, Teng Wang, Xiaoliang Meng
    http://arxiv.org/abs/2106.12413v1

    • [cs.CV]Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
    Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
    http://arxiv.org/abs/2106.12368v1

    • [cs.CV]Vision-based Behavioral Recognition of Novelty Preference in Pigs
    Aniket Shirke, Rebecca Golden, Mrinal Gautam, Angela Green-Miller, Matthew Caesar, Ryan N. Dilger
    http://arxiv.org/abs/2106.12181v1

    • [cs.CV]Volume Rendering of Neural Implicit Surfaces
    Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
    http://arxiv.org/abs/2106.12052v1

    • [cs.CY]A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability
    Mona Sloane, Emanuel Moss, Rumman Chowdhury
    http://arxiv.org/abs/2106.12403v1

    • [cs.CY]Diversity and density of urban functions in station areas
    Yusuke Kumakoshi, Hideki Koizumi, Yuji Yoshimura
    http://arxiv.org/abs/2106.12107v1

    • [cs.DC]APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
    Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
    http://arxiv.org/abs/2106.12169v1

    • [cs.DC]BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
    Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian Foster
    http://arxiv.org/abs/2106.12091v1

    • [cs.DC]Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation
    Zeinab Khodaverdian, Hossein Sadr, Seyed Ahmad Edalatpanah, Mojdeh Nazari Solimandarabi
    http://arxiv.org/abs/2106.12178v1

    • [cs.DC]Distributed coloring and the local structure of unit-disk graphs
    Louis Esperet, Sébastien Julliot, Arnaud de Mesmay
    http://arxiv.org/abs/2106.12322v1

    • [cs.DC]ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search
    Behnam Zeinali, Di Zhuang, J. Morris Chang
    http://arxiv.org/abs/2106.12549v1

    • [cs.DC]Energy hardware and workload aware job scheduling towards interconnected HPC environments
    Marco D’Amico, Julita Corbalan
    http://arxiv.org/abs/2106.12007v1

    • [cs.DC]Particle-In-Cell Simulation using Asynchronous Tasking
    Nicolas Guidotti, Pedro Ceyrat, João Barreto, José Monteiro, Rodrigo Rodrigues, Ricardo Fonseca, Xavier Martorell, Antonio J. Peña
    http://arxiv.org/abs/2106.12485v1

    • [cs.DC]Revisiting the Arguments for Edge Computing Research
    Blesson Varghese, Eyal de Lara, Aaron Ding, Cheol-Ho Hong, Flavio Bonomi, Schahram Dustdar, Paul Harvey, Peter Hewkin, Weisong Shi, Mark Thiele, Peter Willis
    http://arxiv.org/abs/2106.12224v1

    • [cs.DC]TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments
    Manisha Luthra, Boris Koldehofe, Niels Danger, Pascal Weisenburger, Guido Salvaneschi, Ioannis Stavrakakis
    http://arxiv.org/abs/2106.12429v1

    • [cs.DL]BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing
    Zeyd Boukhers, Philipp Mayr, Silvio Peroni
    http://arxiv.org/abs/2106.12320v1

    • [cs.DS]Better Algorithms for Individually Fair 今日学术视野(2021.6.25) - 图3-Clustering
    Deeparnab Chakrabarty, Maryam Negahbani
    http://arxiv.org/abs/2106.12150v1

    • [cs.ET]NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
    Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
    http://arxiv.org/abs/2106.12125v1

    • [cs.GR]Real-time Neural Radiance Caching for Path Tracing
    Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller
    http://arxiv.org/abs/2106.12372v1

    • [cs.GT]From Griefing to Stability in Blockchain Mining Economies
    Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras, Shyam Sridhar
    http://arxiv.org/abs/2106.12332v1

    • [cs.HC]#StayHome Playing LoL — Analyzing Players’ Activity and Social Bonds in League of Legends During Covid-19 Lockdowns
    Simone Petrosino, Enrica Loria, Johanna Pirker
    http://arxiv.org/abs/2106.12277v1

    • [cs.HC]A Review of Assistive Technologies for Activities of Daily Living of Elderly
    Nirmalya Thakur, Chia Y. Han
    http://arxiv.org/abs/2106.12183v1

    • [cs.HC]CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot
    Oliver Schmitt, Daniel Buschek
    http://arxiv.org/abs/2106.12314v1

    • [cs.IR]A Graph-based Method for Session-based Recommendations
    Marina Delianidi, Michail Salampasis, Konstantinos Diamantaras, Theodosios Siomos, Alkiviadis Katsalis, Iphigenia Karaveli
    http://arxiv.org/abs/2106.12085v1

    • [cs.IR]BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System
    Shenghao Xu
    http://arxiv.org/abs/2106.10898v2

    • [cs.IR]GraphConfRec: A Graph Neural Network-Based Conference Recommender System
    Andreea Iana, Heiko Paulheim
    http://arxiv.org/abs/2106.12340v1

    • [cs.IR]Improving Transformer-based Sequential Recommenders through Preference Editing
    Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke
    http://arxiv.org/abs/2106.12120v1

    • [cs.IR]Learnt Sparsity for Effective and Interpretable Document Ranking
    Jurek Leonhardt, Koustav Rudra, Avishek Anand
    http://arxiv.org/abs/2106.12460v1

    • [cs.IT]A partial information decomposition for discrete and continuous variables
    Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral
    http://arxiv.org/abs/2106.12393v1

    • [cs.IT]An Effective Bernstein-type Bound on Shannon Entropy over Countably Infinite Alphabets
    Yunpeng Zhao
    http://arxiv.org/abs/2106.12149v1

    • [cs.IT]Cell-Free Massive MIMO with Radio Stripes for Indoor Wireless Energy Transfer
    Onel L. A. López, Dileep Kumar, Richard Demo Souza, Petar Popovski, Antti Tölli, Matti Latva-aho
    http://arxiv.org/abs/2106.12188v1

    • [cs.IT]Computation Rate Maximization for Multiuser Mobile Edge Computing Systems With Dynamic Energy Arrivals
    Zhifei Lin, Feng Wang, Licheng Liu
    http://arxiv.org/abs/2106.12338v1

    • [cs.IT]Hybrid Non-Binary Repeated Polar Codes
    Fariba Abbasi, Hessam Mahdavifar, Emanuele Viterbo
    http://arxiv.org/abs/2106.12122v1

    • [cs.IT]Noisy Adaptive Group Testing via Noisy Binary Search
    Bernard Teo, Jonathan Scarlett
    http://arxiv.org/abs/2106.12193v1

    • [cs.IT]Optimal Exponents In Cascaded Hypothesis Testing under Expected Rate Constraints
    Mustapha Hamad, Michèle Wigger, Mireille Sarkiss
    http://arxiv.org/abs/2106.12299v1

    • [cs.IT]Polycyclic Codes Associated with Trinomials: Good Codes and Open Questions
    Nuh Aydin, Peihan Liu, Bryan Yoshino
    http://arxiv.org/abs//abs/2106.12065v1

    • [cs.LG]A Practical & Unified Notation for Information-Theoretic Quantities in ML
    Andreas Kirsch, Yarin Gal
    http://arxiv.org/abs/2106.12062v1

    • [cs.LG]A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions
    Andreas Kirsch, Sebastian Farquhar, Yarin Gal
    http://arxiv.org/abs/2106.12059v1

    • [cs.LG]A Unified Approach to Fair Online Learning via Blackwell Approachability
    Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
    http://arxiv.org/abs/2106.12242v1

    • [cs.LG]AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
    Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
    http://arxiv.org/abs/2106.12379v1

    • [cs.LG]ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
    Louis Rouillard, Demian Wassermann
    http://arxiv.org/abs/2106.12248v1

    • [cs.LG]Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
    Nidhin Harilal, Udit Bhatia, Auroop R. Ganguly
    http://arxiv.org/abs/2106.12532v1

    • [cs.LG]Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
    Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
    http://arxiv.org/abs/2106.12300v1

    • [cs.LG]Beyond Predictions in Neural ODEs: Identification and Interventions
    Hananeh Aliee, Fabian J. Theis, Niki Kilbertus
    http://arxiv.org/abs/2106.12430v1

    • [cs.LG]Bregman Gradient Policy Optimization
    Feihu Huang, Shangqian Gao, Heng Huang
    http://arxiv.org/abs/2106.12112v1

    • [cs.LG]Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds
    Balamurali B T, Hwan Ing Hee, Saumitra Kapoor, Oon Hoe Teoh, Sung Shin Teng, Khai Pin Lee, Dorien Herremans, Jer Ming Chen
    http://arxiv.org/abs/2106.12174v1

    • [cs.LG]Exploring the Representational Power of Graph Autoencoder
    Maroun Haddad, Mohamed Bouguessa
    http://arxiv.org/abs/2106.12005v1

    • [cs.LG]Fairness for Image Generation with Uncertain Sensitive Attributes
    Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
    http://arxiv.org/abs/2106.12182v1

    • [cs.LG]False perfection in machine prediction: Detecting and assessing circularity problems in machine learning
    Michael Hagmann, Stefan Riezler
    http://arxiv.org/abs/2106.12417v1

    • [cs.LG]Feature Alignment for Approximated Reversibility in Neural Networks
    Tiago de Souza Farias, Jonas Maziero
    http://arxiv.org/abs/2106.12562v1

    • [cs.LG]Feature Attributions and Counterfactual Explanations Can Be Manipulated
    Dylan Slack, Sophie Hilgard, Sameer Singh, Hima Lakkaraju
    http://arxiv.org/abs/2106.12563v1

    • [cs.LG]Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network
    Han Yu, Asami Itoh, Ryota Sakamoto, Motomu Shimaoka, Akane Sano
    http://arxiv.org/abs/2106.12081v1

    • [cs.LG]From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
    Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
    http://arxiv.org/abs/2106.12484v1

    • [cs.LG]IQ-Learn: Inverse soft-Q Learning for Imitation
    Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
    http://arxiv.org/abs/2106.12142v1

    • [cs.LG]Imitation Learning: Progress, Taxonomies and Opportunities
    Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor Tsang, Fang Chen
    http://arxiv.org/abs/2106.12177v1

    • [cs.LG]Learning Explainable Representations of Malware Behavior
    Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukas Bajer, Tobias Scheffer
    http://arxiv.org/abs/2106.12328v1

    • [cs.LG]Learning Identity-Preserving Transformations on Data Manifolds
    Marissa Connor, Kion Fallah, Christopher Rozell
    http://arxiv.org/abs/2106.12096v1

    • [cs.LG]Learning Multimodal VAEs through Mutual Supervision
    Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth
    http://arxiv.org/abs/2106.12570v1

    • [cs.LG]Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
    Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
    http://arxiv.org/abs/2106.12535v1

    • [cs.LG]Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays
    Rotem Zamir Aviv, Ido Hakimi, Assaf Schuster, Kfir Y. Levy
    http://arxiv.org/abs/2106.12261v1

    • [cs.LG]Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning
    Kamil Deja, Paweł Wawrzyński, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzciński
    http://arxiv.org/abs/2106.12196v1

    • [cs.LG]Near-Optimal Linear Regression under Distribution Shift
    Qi Lei, Wei Hu, Jason D. Lee
    http://arxiv.org/abs/2106.12108v1

    • [cs.LG]Q-Learning Lagrange Policies for Multi-Action Restless Bandits
    Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
    http://arxiv.org/abs/2106.12024v1

    • [cs.LG]Random Effect Bandits
    Rong Zhu, Branislav Kveton
    http://arxiv.org/abs/2106.12200v1

    • [cs.LG]Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
    Çağkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire
    http://arxiv.org/abs/2106.12556v1

    • [cs.LG]Regret-optimal Estimation and Control
    Gautam Goel, Babak Hassibi
    http://arxiv.org/abs/2106.12097v1

    • [cs.LG]Secure Domain Adaptation with Multiple Sources
    Serban Stan, Mohammad Rostami
    http://arxiv.org/abs/2106.12124v1

    • [cs.LG]Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
    Mats L. Richter, Julius Schöning, Ulf Krumnack
    http://arxiv.org/abs/2106.12307v1

    • [cs.LG]Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
    Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
    http://arxiv.org/abs/2106.12566v1

    • [cs.LG]Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
    Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T Kandemir, Chita R Das
    http://arxiv.org/abs/2106.12089v1

    • [cs.LG]Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
    Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
    http://arxiv.org/abs/2106.12543v1

    • [cs.LG]Test-time Collective Prediction
    Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
    http://arxiv.org/abs/2106.12012v1

    • [cs.LG]The Rate of Convergence of Variation-Constrained Deep Neural Networks
    Gen Li, Yuantao Gu, Jie Ding
    http://arxiv.org/abs/2106.12068v1

    • [cs.LG]Towards Consistent Predictive Confidence through Fitted Ensembles
    Navid Kardan, Ankit Sharma, Kenneth O. Stanley
    http://arxiv.org/abs/2106.12070v1

    • [cs.LG]Training Data Subset Selection for Regression with Controlled Generalization Error
    Durga Sivasubramanian, Rishabh Iyer, Ganesh Ramakrishnan, Abir De
    http://arxiv.org/abs/2106.12491v1

    • [cs.LG]Universal Consistency of Deep Convolutional Neural Networks
    Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou
    http://arxiv.org/abs/2106.12498v1

    • [cs.LG]Weisfeiler and Lehman Go Cellular: CW Networks
    Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael Bronstein
    http://arxiv.org/abs/2106.12575v1

    • [cs.LG]Who Leads and Who Follows in Strategic Classification?
    Tijana Zrnic, Eric Mazumdar, S. Shankar Sastry, Michael I. Jordan
    http://arxiv.org/abs/2106.12529v1

    • [cs.NE]A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization
    Jinjin Xu, Yaochu Jin, Wenli Du
    http://arxiv.org/abs/2106.12086v1

    • [cs.NE]Prospects for Analog Circuits in Deep Networks
    Shih-Chii Liu, John Paul Strachan, Arindam Basu
    http://arxiv.org/abs/2106.12444v1

    • [cs.NI]Enlaces de rádio de longa distância utilizando a banda de HF
    Rafael Diniz, Mylène C. Q. Farias
    http://arxiv.org/abs/2106.12187v1

    • [cs.RO]Active Exploitation of Redundancies in Reconfigurable Multi-Robot Systems
    Thomas M. Roehr
    http://arxiv.org/abs/2106.12079v1

    • [cs.RO]Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
    Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
    http://arxiv.org/abs/2106.12534v1

    • [cs.RO]Collaborative Visual Inertial SLAM for Multiple Smart Phones
    Jialing Liu, Ruyu Liu, Kaiqi Chen, Jianhua Zhang, Dongyan Guo
    http://arxiv.org/abs/2106.12186v1

    • [cs.RO]Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms
    Xin Zhou, Zhepei Wang, Xiangyong Wen, Jiangchao Zhu, Chao Xu, Fei Gao
    http://arxiv.org/abs/2106.12481v1

    • [cs.RO]Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies
    Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella
    http://arxiv.org/abs/2106.12474v1

    • [cs.RO]Prevention and Resolution of Conflicts in Social Navigation — a Survey
    Reuth Mirsky, Xuesu Xiao, Justin Hart, Peter Stone
    http://arxiv.org/abs/2106.12113v1

    • [cs.RO]Robust Task Scheduling for Heterogeneous Robot Teams under Capability Uncertainty
    Bo Fu, William Smith, Denise Rizzo, Matthew Castanier, Maani Ghaffari, Kira Barton
    http://arxiv.org/abs/2106.12111v1

    • [cs.RO]Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
    Jingda Wu, Zhiyu Huang, Chen Lv
    http://arxiv.org/abs/2106.12194v1

    • [cs.SD]Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
    Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin
    http://arxiv.org/abs/2106.12271v1

    • [cs.SI]Bailouts in Financial Networks
    Beni Egressy, Roger Wattenhofer
    http://arxiv.org/abs/2106.12315v1

    • [cs.SI]Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
    Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva
    http://arxiv.org/abs/2106.11702v2

    • [cs.SI]Comparing the Structures and Characteristics of Different Game Social Networks — The Steam Case
    Enrica Loria, Alessia Antelmi, Johanna Pirker
    http://arxiv.org/abs/2106.12264v1

    • [cs.SI]Polarization in Geometric Opinion Dynamics
    Jason Gaitonde, Jon Kleinberg, Éva Tardos
    http://arxiv.org/abs/2106.12459v1

    • [eess.IV]CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis
    Thangarajah Akilan
    http://arxiv.org/abs/2106.12157v1

    • [eess.IV]Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
    Junshen Xu, Elfar Adalsteinsson
    http://arxiv.org/abs/2106.12175v1

    • [eess.IV]Diabetic Retinopathy Detection using Ensemble Machine Learning
    Israa Odeh, Mouhammd Alkasassbeh, Mohammad Alauthman
    http://arxiv.org/abs/2106.12545v1

    • [eess.IV]FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
    Shawn Mathew, Saad Nadeem, Arie Kaufman
    http://arxiv.org/abs/2106.12522v1

    • [eess.IV]High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
    Grant Duffy, Paul P Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
    http://arxiv.org/abs/2106.12511v1

    • [eess.IV]Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
    Zhongliang Li, Zhihao Jin, Xuechen Li, Linlin Shen
    http://arxiv.org/abs/2106.12313v1

    • [eess.IV]Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model
    Mohana Singh, Renu M. Rameshan
    http://arxiv.org/abs/2106.11558v2

    • [eess.IV]Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
    Sheng Liu, Xiaozhen Xie, Wenfeng Kong, Jifeng Ning
    http://arxiv.org/abs/2106.12489v1

    • [eess.IV]STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
    Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson
    http://arxiv.org/abs/2106.12407v1

    • [eess.SP]Wavenumber-Division Multiplexing in Line-of-Sight Holographic MIMO Communications
    Luca Sanguinetti, Antonio A. D’Amico, Merouane Debbah
    http://arxiv.org/abs/2106.12531v1

    • [eess.SY]Mitigating the Impact of Distributed Generations on Relay Coordination Using Fault Current Limiters
    Meisam Ansari, Mostafa Ansari
    http://arxiv.org/abs/2106.12406v1

    • [math.CO]Linear Cutting Blocking Sets and Minimal Codes in the Rank Metric
    Gianira N. Alfarano, Martino Borello, Alessandro Neri, Alberto Ravagnani
    http://arxiv.org/abs/2106.12465v1

    • [math.CO]New binary self-dual codes of lengths 80, 84 and 96 from composite matrices
    Joe Gildea, Adrian Korban, Adam Michael Roberts
    http://arxiv.org/abs/2106.12355v1

    • [math.NA]Lagrangian dual framework for conservative neural network solutions of kinetic equations
    Hyung Ju Hwang, Hwijae Son
    http://arxiv.org/abs/2106.12147v1

    • [math.PR]Gaussian and Hermite Ornstein-Uhlenbeck processes
    Khalifa Es-Sebaiy
    http://arxiv.org/abs/2106.12311v1

    • [math.ST]Bayesian Chance Constrained Optimization: Approximations and Statistical Consistency
    Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
    http://arxiv.org/abs/2106.12199v1

    • [math.ST]Identifiability and estimation of meta-elliptical copula generators
    Alexis Derumigny, Jean-David Fermanian
    http://arxiv.org/abs/2106.12367v1

    • [physics.soc-ph]Randomizing hypergraphs preserving degree correlation and local clustering
    Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda
    http://arxiv.org/abs/2106.12162v1

    • [quant-ph]Learning quantum circuits of some 今日学术视野(2021.6.25) - 图4 gates
    Ching-Yi Lai, Hao-Chung Cheng
    http://arxiv.org/abs/2106.12524v1

    • [stat.AP]Assessing epidemic curves for evidence of superspreading
    Joe Meagher, Nial Friel
    http://arxiv.org/abs/2106.12064v1

    • [stat.AP]COVID-19 Forecasts Using Internet Search Information in the United States
    Simin Ma, Shihao Yang
    http://arxiv.org/abs/2106.12160v1

    • [stat.AP]Changepoint Detection: An Analysis of the Central England Temperature Series
    Xueheng Shi, Claudie Beaulieu, Rebecca Killick, Robert Lund
    http://arxiv.org/abs/2106.12180v1

    • [stat.AP]Regularised B-splines projected Gaussian Process priors to estimate the age profile of COVID-19 deaths before and after vaccine roll-out
    Mélodie Monod, Alexandra Blenkinsop, Andrea Brizzi, Yu Chen, Vidoushee Jogarah, Yuanrong Wang, Seth Flaxman, Samir Bhatt, Oliver Ratmann
    http://arxiv.org/abs/2106.12360v1

    • [stat.CO]The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time
    Raj Agrawal, Tamara Broderick
    http://arxiv.org/abs/2106.12408v1

    • [stat.ME]Analysis of the evolution of agroclimatic risks in a context of climate variability in the region of Segou in Mali
    Diop Amadou, Barro Diakarya
    http://arxiv.org/abs/2106.12571v1

    • [stat.ME]Approximate Bayesian Computation with Path Signatures
    Joel Dyer, Patrick Cannon, Sebastian M Schmon
    http://arxiv.org/abs/2106.12555v1

    • [stat.ME]Bounds on Causal Effects and Application to High Dimensional Data
    Ang Li, Judea Pearl
    http://arxiv.org/abs/2106.12121v1

    • [stat.ME]Generalised Kernel Stein Discrepancy(GKSD): A Unifying Approach for Non-parametric Goodness-of-fit Testing
    Wenkai Xu
    http://arxiv.org/abs/2106.12105v1

    • [stat.ME]Inference in High-dimensional Linear Regression
    Heather S. Battey, Nancy Reid
    http://arxiv.org/abs/2106.12001v1

    • [stat.ME]Integrating relative survival in multi-state models — a non-parametric approach
    D. Manevski, H. Putter, M. Pohar Perme, E. F. Bonneville, J. Schetelig, L. C. de Wreede
    http://arxiv.org/abs/2106.12399v1

    • [stat.ME]Online Updating Statistics for Heterogenous Updating Regressions via Homogenization Techniques
    Lin Lu, Lu Jun, Hu Qinqin
    http://arxiv.org/abs/2106.12370v1

    • [stat.ML]Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks
    Salvatore Scognamiglio
    http://arxiv.org/abs/2106.12312v1

    • [stat.ML]Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
    Mostafa Rahmani, Ping Li
    http://arxiv.org/abs/2106.12190v1

    • [stat.ML]Innovations Autoencoder and its Application in Real-Time Anomaly Detection
    Xinyi Wang, Lang Tong
    http://arxiv.org/abs/2106.12382v1

    • [stat.ML]ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
    Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
    http://arxiv.org/abs/2106.12231v1

    • [stat.ML]Pure Exploration in Kernel and Neural Bandits
    Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
    http://arxiv.org/abs/2106.12034v1

    • [stat.ML]Sampling with Mirrored Stein Operators
    Jiaxin Shi, Chang Liu, Lester Mackey
    http://arxiv.org/abs/2106.12506v1

    • [stat.ML]groupShapley: Efficient prediction explanation with Shapley values for feature groups
    Martin Jullum, Annabelle Redelmeier, Kjersti Aas
    http://arxiv.org/abs/2106.12228v1