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 -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 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
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• [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 -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 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