astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.quant-gas - 量子气体
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    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.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.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    hep-th - 高能物理理论
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]E(2) Equivariant Self-Attention for Radio Astronomy
    • [cond-mat.quant-gas]Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons
    • [cs.AI]EvoLearner: Learning Description Logics with Evolutionary Algorithms
    • [cs.AI]Learning Numerical Action Models from Noisy Input Data
    • [cs.AI]Self-checking Logical Agents
    • [cs.AI]Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
    • [cs.AR]Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
    • [cs.CL]A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
    • [cs.CL]American Hate Crime Trends Prediction with Event Extraction
    • [cs.CL]Cascaded Multilingual Audio-Visual Learning from Videos
    • [cs.CL]DSBERT:Unsupervised Dialogue Structure learning with BERT
    • [cs.CL]FPM: A Collection of Large-scale Foundation Pre-trained Language Models
    • [cs.CL]Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?
    • [cs.CL]Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
    • [cs.CL]Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks
    • [cs.CL]Linguistic Cues of Deception in a Multilingual April Fools’ Day Context
    • [cs.CL]Multimodal intelligibility of scholarly hypertext: the documentalist’s contribution. A required collaboration for serial documentisation in the scientific editorial process
    • [cs.CL]NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
    • [cs.CL]Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
    • [cs.CL]Tackling Morphological Analogies Using Deep Learning — Extended Version
    • [cs.CL]Transformer Based Bengali Chatbot Using General Knowledge Dataset
    • [cs.CR]Information-Theoretic Limits for Steganography in Multimedia
    • [cs.CR]Membership Inference Attacks Against Self-supervised Speech Models
    • [cs.CR]Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks
    • [cs.CV]Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
    • [cs.CV]Data Augmentation Can Improve Robustness
    • [cs.CV]Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly
    • [cs.CV]Does Thermal data make the detection systems more reliable?
    • [cs.CV]Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
    • [cs.CV]Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
    • [cs.CV]Evolving Evocative 2D Views of Generated 3D Objects
    • [cs.CV]Explaining Face Presentation Attack Detection Using Natural Language
    • [cs.CV]Exploiting Robust Unsupervised Video Person Re-identification
    • [cs.CV]Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
    • [cs.CV]Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection
    • [cs.CV]Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
    • [cs.CV]Hybrid BYOL-ViT: Efficient approach to deal with small Datasets
    • [cs.CV]Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
    • [cs.CV]Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
    • [cs.CV]LiMoSeg: Real-time Bird’s Eye View based LiDAR Motion Segmentation
    • [cs.CV]MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
    • [cs.CV]Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
    • [cs.CV]PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval
    • [cs.CV]Residual Quantity in Percentage of Factory Machines Using ComputerVision and Mathematical Methods
    • [cs.CV]SAFA: Structure Aware Face Animation
    • [cs.CV]Self-Interpretable Model with TransformationEquivariant Interpretation
    • [cs.CV]Sliced Recursive Transformer
    • [cs.CV]Survey of Deep Learning Methods for Inverse Problems
    • [cs.CV]Unsupervised Spiking Instance Segmentation on Event Data using STDP
    • [cs.CV]Video Text Tracking With a Spatio-Temporal Complementary Model
    • [cs.CV]View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
    • [cs.CV]Visual Question Answering based on Formal Logic
    • [cs.CY]Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
    • [cs.CY]Programming for All: Understanding the Nature of Programs
    • [cs.CY]Psycho-linguistic differences among competing vaccination communities on social media
    • [cs.CY]RTLola on Board: Testing Real Driving Emissions on your Phone
    • [cs.CY]The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities
    • [cs.DC]DataX: A system for Data eXchange and transformation of streams
    • [cs.DC]ML-EXray: Visibility into ML Deployment on the Edge
    • [cs.DC]Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py
    • [cs.DC]Population Protocols for Graph Class Identification Problems
    • [cs.DC]Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL
    • [cs.DC]Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
    • [cs.DL]A quantitative and qualitative citation analysis of retracted articles in the humanities
    • [cs.DL]Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
    • [cs.DS]Analysis of Work-Stealing and Parallel Cache Complexity
    • [cs.DS]Approximating Fair Clustering with Cascaded Norm Objectives
    • [cs.DS]Robust Estimation for Random Graphs
    • [cs.HC]User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction
    • [cs.IR]Dynamic Parameterized Network for CTR Prediction
    • [cs.IR]Neural News Recommendation with Event Extraction
    • [cs.IT]A Sphere-Packing Error Exponent for Mismatched Decoding
    • [cs.IT]Area Rate Efficiency in Multi-Link Molecular Communications
    • [cs.IT]Can Information Flows Suggest Targets for Interventions in Neural Circuits?
    • [cs.IT]Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels
    • [cs.IT]Evaluation Of Orthogonal Chirp Division Multiplexing For Automotive Integrated Sensing And Communications
    • [cs.IT]Locally Testable Codes with constant rate, distance, and locality
    • [cs.IT]On the structure of 今日学术视野(2021.11.11) - 图1-generator quasi-polycyclic codes over finite chain rings
    • [cs.IT]Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information Retrieval
    • [cs.IT]Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning
    • [cs.IT]Towards a Unified Information-Theoretic Framework for Generalization
    • [cs.LG]A Probit Tensor Factorization Model For Relational Learning
    • [cs.LG]A Statistical Difference Reduction Method for Escaping Backdoor Detection
    • [cs.LG]A Survey on Green Deep Learning
    • [cs.LG]A Topological Data Analysis Based Classifier
    • [cs.LG]A research framework for writing differentiable PDE discretizations in JAX
    • [cs.LG]A toolkit for data-driven discovery of governing equations in high-noise regimes
    • [cs.LG]Active Sampling for Linear Regression Beyond the 今日学术视野(2021.11.11) - 图2 Norm
    • [cs.LG]Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
    • [cs.LG]An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
    • [cs.LG]An Interactive Visualization Tool for Understanding Active Learning
    • [cs.LG]Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
    • [cs.LG]Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
    • [cs.LG]Deep Learning Approach for Aggressive Driving Behaviour Detection
    • [cs.LG]Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
    • [cs.LG]Dueling RL: Reinforcement Learning with Trajectory Preferences
    • [cs.LG]Efficient estimates of optimal transport via low-dimensional embeddings
    • [cs.LG]Explaining Hyperparameter Optimization via Partial Dependence Plots
    • [cs.LG]Federated Learning Based on Dynamic Regularization
    • [cs.LG]How to Train Your Neural Network: A Comparative Evaluation
    • [cs.LG]Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach
    • [cs.LG]Inferential SIR-GN: Scalable Graph Representation Learning
    • [cs.LG]Label-Aware Distribution Calibration for Long-tailed Classification
    • [cs.LG]Learning Rates for Nonconvex Pairwise Learning
    • [cs.LG]Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
    • [cs.LG]Logarithmic Regret from Sublinear Hints
    • [cs.LG]MLHarness: A Scalable Benchmarking System for MLCommons
    • [cs.LG]Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
    • [cs.LG]MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers
    • [cs.LG]Misspecified Gaussian Process Bandit Optimization
    • [cs.LG]MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
    • [cs.LG]On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
    • [cs.LG]On Representation Knowledge Distillation for Graph Neural Networks
    • [cs.LG]On Training Implicit Models
    • [cs.LG]Optimizing Bayesian acquisition functions in Gaussian Processes
    • [cs.LG]Papaya: Practical, Private, and Scalable Federated Learning
    • [cs.LG]Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
    • [cs.LG]Prediction of new outlinks for focused crawling
    • [cs.LG]RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
    • [cs.LG]Realizable Learning is All You Need
    • [cs.LG]Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning
    • [cs.LG]Safe Optimal Design with Applications in Policy Learning
    • [cs.LG]Safe Policy Optimization with Local Generalized Linear Function Approximations
    • [cs.LG]TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
    • [cs.LG]The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
    • [cs.LG]Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
    • [cs.LG]Turing-Universal Learners with Optimal Scaling Laws
    • [cs.LG]Unified Group Fairness on Federated Learning
    • [cs.LG]Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling
    • [cs.LG]Variational Multi-Task Learning with Gumbel-Softmax Priors
    • [cs.LG]Wasserstein Adversarially Regularized Graph Autoencoder
    • [cs.NE]An effective hybrid search algorithm for the multiple traveling repairman problem with profits
    • [cs.NI]Classifying DNS Servers based on Response Message Matrix using Machine Learning
    • [cs.RO]A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
    • [cs.RO]Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
    • [cs.RO]Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
    • [cs.RO]Footstep Adjustment for Biped Push Recovery on Slippery Surfaces
    • [cs.RO]Learned Dynamics of Electrothermally-Actuated Soft Robot Limbs Using LSTM Neural Networks
    • [cs.RO]Learning Perceptual Concepts by Bootstrapping from Human Queries
    • [cs.RO]Planar Robot Casting with Real2Sim2Real Self-Supervised Learning
    • [cs.RO]Robot control for simultaneous impact tasks via QP based reference spreading
    • [cs.RO]Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
    • [cs.SD]CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
    • [cs.SD]Speaker Generation
    • [cs.SD]Ultra-Low Power Keyword Spotting at the Edge
    • [cs.SE]Building an AI-ready RSE Workforce
    • [cs.SE]D今日学术视野(2021.11.11) - 图3ABS: A Framework for Dynamic Dependence Abstraction of Distributed Programs
    • [cs.SI]Community detection using low-dimensional network embedding algorithms
    • [cs.SI]High-order joint embedding for multi-level link prediction
    • [cs.SI]Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
    • [econ.EM]Bounding Treatment Effects by Pooling Limited Information across Observations
    • [econ.EM]Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
    • [econ.EM]Optimal Decision Rules Under Partial Identification
    • [eess.IV]Approaching the Limit of Image Rescaling via Flow Guidance
    • [eess.IV]Bilinear pooling and metric learning network for early Alzheimer’s disease identification with FDG-PET images
    • [eess.IV]DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
    • [eess.IV]Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography
    • [eess.IV]Dense Representative Tooth Landmark/axis Detection Network on 3D Model
    • [eess.IV]GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention
    • [eess.IV]Leveraging blur information for plenoptic camera calibration
    • [eess.IV]Lymph Node Detection in T2 MRI with Transformers
    • [eess.IV]MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
    • [eess.IV]Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
    • [eess.IV]Mixed Transformer U-Net For Medical Image Segmentation
    • [eess.IV]Multi-Modality Cardiac Image Analysis with Deep Learning
    • [eess.IV]Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
    • [eess.IV]Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
    • [eess.IV]Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
    • [eess.IV]Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
    • [eess.IV]The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
    • [eess.IV]Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles
    • [eess.IV]Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
    • [eess.SP]A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring
    • [eess.SP]Classification of sums of complex exponentials
    • [eess.SY]Resistance Distance and Control Performance for Google bittide Synchronization
    • [hep-th]The World in a Grain of Sand: Condensing the String Vacuum Degeneracy
    • [math.NA]Machine-learning custom-made basis functions for partial differential equations
    • [math.OC]Solving PDE-constrained Control Problems using Operator Learning
    • [math.ST]On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests
    • [physics.soc-ph]Metadata-informed community detection with lazy encoding using absorbing random walks
    • [q-bio.QM]BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
    • [q-bio.QM]HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
    • [q-bio.QM]Stain-free Detection of Embryo Polarization using Deep Learning
    • [quant-ph]Generalization in quantum machine learning from few training data
    • [quant-ph]Mode connectivity in the loss landscape of parameterized quantum circuits
    • [quant-ph]Representation Learning via Quantum Neural Tangent Kernels
    • [stat.AP]An Examination of Sport Climbing’s Competition Format and Scoring System
    • [stat.AP]Determinants of Women’s Attitude towards Intimate Partner Violence: Evidence from Bangladesh
    • [stat.AP]Using sequential drift detection to test the API economy
    • [stat.ME]Changepoint detection in non-exchangeable data
    • [stat.ME]Double robust estimation of partially adaptive treatment strategies
    • [stat.ME]Exploratory Factor Analysis of Data on a Sphere
    • [stat.ME]In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior
    • [stat.ME]Kernel estimation of bivariate time-varying coefficient model for longitudinal data with terminal event
    • [stat.ML]Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
    • [stat.ML]Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification
    • [stat.ML]Harmless interpolation in regression and classification with structured features
    • [stat.ML]Query-augmented Active Metric Learning
    • [stat.ML]Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression
    • [stat.ML]The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection

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

    • [astro-ph.IM]E(2) Equivariant Self-Attention for Radio Astronomy
    Micah Bowles, Matthew Bromley, Max Allen, Anna Scaife
    http://arxiv.org/abs/2111.04742v1

    • [cond-mat.quant-gas]Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons
    Shangjie Guo, Sophia M. Koh, Amilson R. Fritsch, I. B. Spielman, Justyna P. Zwolak
    http://arxiv.org/abs/2111.04881v1

    • [cs.AI]EvoLearner: Learning Description Logics with Evolutionary Algorithms
    Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2111.04879v1

    • [cs.AI]Learning Numerical Action Models from Noisy Input Data
    José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez
    http://arxiv.org/abs/2111.04997v1

    • [cs.AI]Self-checking Logical Agents
    Stefania Costantini
    http://arxiv.org/abs/2111.05157v1

    • [cs.AI]Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
    YooJung Choi, Tal Friedman, Guy Van den Broeck
    http://arxiv.org/abs/2111.04833v1

    • [cs.AR]Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
    Mahmood Azhar Qureshi, Arslan Munir
    http://arxiv.org/abs/2111.05002v1

    • [cs.CL]A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
    Jessica Huynh, Jeffrey Bigham, Maxine Eskenazi
    http://arxiv.org/abs/2111.05241v1

    • [cs.CL]American Hate Crime Trends Prediction with Event Extraction
    Songqiao Han, Hailiang Huang, Jiangwei Liu, Shengsheng Xiao
    http://arxiv.org/abs/2111.04951v1

    • [cs.CL]Cascaded Multilingual Audio-Visual Learning from Videos
    Andrew Rouditchenko, Angie Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogerio Feris, Brian Kingsbury, Michael Picheny, James Glass
    http://arxiv.org/abs/2111.04823v1

    • [cs.CL]DSBERT:Unsupervised Dialogue Structure learning with BERT
    Bingkun Chen, Shaobing Dai, Shenghua Zheng, Lei Liao, Yang Li
    http://arxiv.org/abs/2111.04933v1

    • [cs.CL]FPM: A Collection of Large-scale Foundation Pre-trained Language Models
    Dezhou Shen
    http://arxiv.org/abs/2111.04909v1

    • [cs.CL]Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?
    Alexander Michael Daniel
    http://arxiv.org/abs/2111.05139v1

    • [cs.CL]Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
    Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha
    http://arxiv.org/abs/2111.05013v1

    • [cs.CL]Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks
    Maude Nguyen-The, Guillaume-Alexandre Bilodeau, Jan Rockemann
    http://arxiv.org/abs/2111.03715v1

    • [cs.CL]Linguistic Cues of Deception in a Multilingual April Fools’ Day Context
    Katerina Papantoniou, Panagiotis Papadakos, Giorgos Flouris, Dimitris Plexousakis
    http://arxiv.org/abs/2111.03913v2

    • [cs.CL]Multimodal intelligibility of scholarly hypertext: the documentalist’s contribution. A required collaboration for serial documentisation in the scientific editorial process
    Gérald Kembellec
    http://arxiv.org/abs/2111.05039v1

    • [cs.CL]NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
    David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2111.05196v1

    • [cs.CL]Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
    Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston
    http://arxiv.org/abs/2111.05204v1

    • [cs.CL]Tackling Morphological Analogies Using Deep Learning — Extended Version
    Safa Alsaidi, Amandine Decker, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro
    http://arxiv.org/abs/2111.05147v1

    • [cs.CL]Transformer Based Bengali Chatbot Using General Knowledge Dataset
    Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, Nushrat Jahan Ria, Syed Akhter Hossain
    http://arxiv.org/abs/2111.03937v2

    • [cs.CR]Information-Theoretic Limits for Steganography in Multimedia
    Hassan Y. El-Arsh, Amr Abdelaziz, Ahmed Elliethy, Hussein A. Aly
    http://arxiv.org/abs/2111.04960v1

    • [cs.CR]Membership Inference Attacks Against Self-supervised Speech Models
    Wei-Cheng Tseng, Wei-Tsung Kao, Hung-yi Lee
    http://arxiv.org/abs/2111.05113v1

    • [cs.CR]Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks
    Saurav Sthapit, Subhash Lakshminarayana, Ligang He, Gregory Epiphaniou, Carsten Maple
    http://arxiv.org/abs/2111.05259v1

    • [cs.CV]Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
    Gnana Praveen R, Eric Granger, Patrick Cardinal
    http://arxiv.org/abs/2111.05222v1

    • [cs.CV]Data Augmentation Can Improve Robustness
    Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann
    http://arxiv.org/abs/2111.05328v1

    • [cs.CV]Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly
    Zixiang Fei, Erfu Yang, Leijian Yu, Xia Li, Huiyu Zhou, Wenju Zhou
    http://arxiv.org/abs/2111.05066v1

    • [cs.CV]Does Thermal data make the detection systems more reliable?
    Shruthi Gowda, Bahram Zonooz, Elahe Arani
    http://arxiv.org/abs/2111.05191v1

    • [cs.CV]Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
    Hyeongjun Kwon, Somi Jeong, Sunok Kim, Kwanghoon Sohn
    http://arxiv.org/abs/2111.04982v1

    • [cs.CV]Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
    Michael Danner, Thomas Weber, Leping Peng, Tobias Gerlach, Xueping Su, Matthias Rätsch
    http://arxiv.org/abs/2111.05149v1

    • [cs.CV]Evolving Evocative 2D Views of Generated 3D Objects
    Eric Chu
    http://arxiv.org/abs/2111.04839v1

    • [cs.CV]Explaining Face Presentation Attack Detection Using Natural Language
    Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas, Jonathan May, Wael Abd-Almageed
    http://arxiv.org/abs/2111.04862v1

    • [cs.CV]Exploiting Robust Unsupervised Video Person Re-identification
    Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu
    http://arxiv.org/abs/2111.05170v1

    • [cs.CV]Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
    Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
    http://arxiv.org/abs/2111.04735v1

    • [cs.CV]Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection
    Farzin Negahbani, Onur Berk Töre, Fatma Güney, Baris Akgun
    http://arxiv.org/abs/2111.04780v1

    • [cs.CV]Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
    Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan
    http://arxiv.org/abs/2111.04946v1

    • [cs.CV]Hybrid BYOL-ViT: Efficient approach to deal with small Datasets
    Safwen Naimi, Rien van Leeuwen, Wided Souidene, Slim Ben Saoud
    http://arxiv.org/abs/2111.04845v1

    • [cs.CV]Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
    Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Rui, Joost van de Weijer
    http://arxiv.org/abs/2111.04993v1

    • [cs.CV]Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
    Jiazhi Li, Wael Abd-Almageed
    http://arxiv.org/abs/2111.04673v2

    • [cs.CV]LiMoSeg: Real-time Bird’s Eye View based LiDAR Motion Segmentation
    Sambit Mohapatra, Mona Hodaei, Senthil Yogamani, Stefan Milz, Patrick Maeder, Heinrich Gotzig, Martin Simon, Hazem Rashed
    http://arxiv.org/abs/2111.04875v1

    • [cs.CV]MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
    Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty
    http://arxiv.org/abs/2111.05059v1

    • [cs.CV]Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
    Shubhendu Jena, Franck Multon, Adnane Boukhayma
    http://arxiv.org/abs/2111.05319v1

    • [cs.CV]PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval
    Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Zhang Xiong
    http://arxiv.org/abs/2111.04945v1

    • [cs.CV]Residual Quantity in Percentage of Factory Machines Using ComputerVision and Mathematical Methods
    Seunghyeon Kim, Jihoon Ryoo, Dongyeob Lee, Youngho Kim
    http://arxiv.org/abs/2111.05080v1

    • [cs.CV]SAFA: Structure Aware Face Animation
    Qiulin Wang, Lu Zhang, Bo Li
    http://arxiv.org/abs/2111.04928v1

    • [cs.CV]Self-Interpretable Model with TransformationEquivariant Interpretation
    Yipei Wang, Xiaoqian Wang
    http://arxiv.org/abs/2111.04927v1

    • [cs.CV]Sliced Recursive Transformer
    Zhiqiang Shen, Zechun Liu, Eric Xing
    http://arxiv.org/abs/2111.05297v1

    • [cs.CV]Survey of Deep Learning Methods for Inverse Problems
    Shima Kamyab, Zihreh Azimifar, Rasool Sabzi, Paul Fieguth
    http://arxiv.org/abs/2111.04731v1

    • [cs.CV]Unsupervised Spiking Instance Segmentation on Event Data using STDP
    Paul Kirkland, Davide L. Manna, Alex Vincente-Sola, Gaetano Di Caterina
    http://arxiv.org/abs/2111.05283v1

    • [cs.CV]Video Text Tracking With a Spatio-Temporal Complementary Model
    Yuzhe Gao, Xing Li, Jiajian Zhang, Yu Zhou, Dian Jin, Jing Wang, Shenggao Zhu, Xiang Bai
    http://arxiv.org/abs/2111.04987v1

    • [cs.CV]View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
    Mai Nishimura, Shohei Nobuhara, Ko Nishino
    http://arxiv.org/abs/2111.05060v1

    • [cs.CV]Visual Question Answering based on Formal Logic
    Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri, J. Clayton Kerce
    http://arxiv.org/abs/2111.04785v1

    • [cs.CY]Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
    Jakob Mokander, Maria Axente, Federico Casolari, Luciano Floridi
    http://arxiv.org/abs/2111.05071v1

    • [cs.CY]Programming for All: Understanding the Nature of Programs
    Andrej Brodnik, Andrew Csizmadia, Gerald Futschek, Lidija Kralj, Violetta Lonati, Peter Micheuz, Mattia Monga
    http://arxiv.org/abs/2111.04887v1

    • [cs.CY]Psycho-linguistic differences among competing vaccination communities on social media
    Jialiang Shi, Piyush Ghasiya, Kazutoshi Sasahara
    http://arxiv.org/abs/2111.05237v1

    • [cs.CY]RTLola on Board: Testing Real Driving Emissions on your Phone
    Sebastian Biewer, Bernd Finkbeiner, Holger Hermanns, Maximilian A. Köhl, Yannik Schnitzer, Maximilian Schwenger
    http://arxiv.org/abs/2111.05255v1

    • [cs.CY]The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities
    Alexander Wenz, Florian Keusch
    http://arxiv.org/abs/2111.05142v1

    • [cs.DC]DataX: A system for Data eXchange and transformation of streams
    Giuseppe Coviello, Kunal Rao, Murugan Sankaradas, Srimat Chakradhar
    http://arxiv.org/abs/2111.04959v1

    • [cs.DC]ML-EXray: Visibility into ML Deployment on the Edge
    Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti
    http://arxiv.org/abs/2111.04779v1

    • [cs.DC]Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py
    Zane Fink, Simeng Liu, Jaemin Choi, Matthias Diener, Laxmikant V. Kale
    http://arxiv.org/abs/2111.04872v1

    • [cs.DC]Population Protocols for Graph Class Identification Problems
    Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue
    http://arxiv.org/abs/2111.05111v1

    • [cs.DC]Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL
    Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh
    http://arxiv.org/abs/2111.04867v1

    • [cs.DC]Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
    Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
    http://arxiv.org/abs/2111.05167v1

    • [cs.DL]A quantitative and qualitative citation analysis of retracted articles in the humanities
    Ivan Heibi, Silvio Peroni
    http://arxiv.org/abs/2111.05223v1

    • [cs.DL]Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
    Tarek Saier, Michael Färber, Tornike Tsereteli
    http://arxiv.org/abs/2111.05097v1

    • [cs.DS]Analysis of Work-Stealing and Parallel Cache Complexity
    Yan Gu, Zachary Napier, Yihan Sun
    http://arxiv.org/abs/2111.04994v1

    • [cs.DS]Approximating Fair Clustering with Cascaded Norm Objectives
    Eden Chlamtáč, Yury Makarychev, Ali Vakilian
    http://arxiv.org/abs/2111.04804v1

    • [cs.DS]Robust Estimation for Random Graphs
    Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
    http://arxiv.org/abs/2111.05320v1

    • [cs.HC]User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction
    Wei Xu
    http://arxiv.org/abs/2111.04880v1

    • [cs.IR]Dynamic Parameterized Network for CTR Prediction
    Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Changping Peng, Zhangang Lin, Jingping Shao
    http://arxiv.org/abs/2111.04983v1

    • [cs.IR]Neural News Recommendation with Event Extraction
    Songqiao Han, Hailiang Huang, Jiangwei Liu
    http://arxiv.org/abs/2111.05068v1

    • [cs.IT]A Sphere-Packing Error Exponent for Mismatched Decoding
    Ehsan Asadi Kangarshahi, Albert Guillén i Fàbregas
    http://arxiv.org/abs/2111.04797v1

    • [cs.IT]Area Rate Efficiency in Multi-Link Molecular Communications
    Lukas Brand, Sebastian Lotter, Vahid Jamali, Robert Schober, Maximilian Schäfer
    http://arxiv.org/abs/2111.05175v1

    • [cs.IT]Can Information Flows Suggest Targets for Interventions in Neural Circuits?
    Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover
    http://arxiv.org/abs/2111.05299v1

    • [cs.IT]Capacity and Performance Analysis of RIS-Assisted Communication Over Rician Fading Channels
    Chandradeep Singh, Chia-Hsiang Lin, Kamal Singh
    http://arxiv.org/abs/2111.04783v1

    • [cs.IT]Evaluation Of Orthogonal Chirp Division Multiplexing For Automotive Integrated Sensing And Communications
    Sangeeta Bhattacharjee, Kumar Vijay Mishra, Ramesh Annavajjala, Chandra R. Murthy
    http://arxiv.org/abs/2111.04975v1

    • [cs.IT]Locally Testable Codes with constant rate, distance, and locality
    Irit Dinur, Shai Evra, Ron Livne, Alexander Lubotzky, Shahar Mozes
    http://arxiv.org/abs/2111.04808v1

    • [cs.IT]On the structure of 今日学术视野(2021.11.11) - 图4-generator quasi-polycyclic codes over finite chain rings
    Rongsheng Wu, Minjia Shi, Patrick Solé
    http://arxiv.org/abs/2111.04914v1

    • [cs.IT]Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information Retrieval
    Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer
    http://arxiv.org/abs/2111.05160v1

    • [cs.IT]Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning
    Wangyang Xu, Jiancheng An, Yongjun Xu, Chongwen Huang, Lu Gan, Chau Yuen
    http://arxiv.org/abs/2111.04971v1

    • [cs.IT]Towards a Unified Information-Theoretic Framework for Generalization
    Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy
    http://arxiv.org/abs/2111.05275v1

    • [cs.LG]A Probit Tensor Factorization Model For Relational Learning
    Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
    http://arxiv.org/abs/2111.03943v2

    • [cs.LG]A Statistical Difference Reduction Method for Escaping Backdoor Detection
    Pengfei Xia, Hongjing Niu, Ziqiang Li, Bin Li
    http://arxiv.org/abs/2111.05077v1

    • [cs.LG]A Survey on Green Deep Learning
    Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li
    http://arxiv.org/abs/2111.05193v1

    • [cs.LG]A Topological Data Analysis Based Classifier
    Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld
    http://arxiv.org/abs/2111.05214v1

    • [cs.LG]A research framework for writing differentiable PDE discretizations in JAX
    Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
    http://arxiv.org/abs/2111.05218v1

    • [cs.LG]A toolkit for data-driven discovery of governing equations in high-noise regimes
    Charles B. Delahunt, J. Nathan Kutz
    http://arxiv.org/abs/2111.04870v1

    • [cs.LG]Active Sampling for Linear Regression Beyond the 今日学术视野(2021.11.11) - 图5 Norm
    Cameron Musco, Christopher Musco, David P. Woodruff, Taisuke Yasuda
    http://arxiv.org/abs/2111.04888v1

    • [cs.LG]Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
    Vibhor Porwal, Piyush Srivastava, Gaurav Sinha
    http://arxiv.org/abs/2111.05070v1

    • [cs.LG]An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
    Aldo Pacchiano, Peter Bartlett, Michael I. Jordan
    http://arxiv.org/abs/2111.04873v1

    • [cs.LG]An Interactive Visualization Tool for Understanding Active Learning
    Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester
    http://arxiv.org/abs/2111.04936v1

    • [cs.LG]Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
    Jaydip Sen, Saikat Mondal, Sidra Mehtab
    http://arxiv.org/abs/2111.04976v1

    • [cs.LG]Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
    Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
    http://arxiv.org/abs/2111.04840v1

    • [cs.LG]Deep Learning Approach for Aggressive Driving Behaviour Detection
    Farid Talebloo, Emad A. Mohammed, Behrouz Far
    http://arxiv.org/abs/2111.04794v1

    • [cs.LG]Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
    Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
    http://arxiv.org/abs/2111.05199v1

    • [cs.LG]Dueling RL: Reinforcement Learning with Trajectory Preferences
    Aldo Pacchiano, Aadirupa Saha, Jonathan Lee
    http://arxiv.org/abs/2111.04850v1

    • [cs.LG]Efficient estimates of optimal transport via low-dimensional embeddings
    Patric M. Fulop, Vincent Danos
    http://arxiv.org/abs/2111.04838v1

    • [cs.LG]Explaining Hyperparameter Optimization via Partial Dependence Plots
    Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
    http://arxiv.org/abs/2111.04820v1

    • [cs.LG]Federated Learning Based on Dynamic Regularization
    Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
    http://arxiv.org/abs/2111.04263v2

    • [cs.LG]How to Train Your Neural Network: A Comparative Evaluation
    Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
    http://arxiv.org/abs/2111.04949v1

    • [cs.LG]Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach
    Magdalena Mittermeier, Maximilian Weigert, David Rügamer
    http://arxiv.org/abs/2111.05303v1

    • [cs.LG]Inferential SIR-GN: Scalable Graph Representation Learning
    Janet Layne, Edoardo Serra
    http://arxiv.org/abs/2111.04826v1

    • [cs.LG]Label-Aware Distribution Calibration for Long-tailed Classification
    Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu
    http://arxiv.org/abs/2111.04901v1

    • [cs.LG]Learning Rates for Nonconvex Pairwise Learning
    Shaojie Li, Yong Liu
    http://arxiv.org/abs/2111.05232v1

    • [cs.LG]Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
    Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang
    http://arxiv.org/abs/2111.04942v1

    • [cs.LG]Logarithmic Regret from Sublinear Hints
    Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
    http://arxiv.org/abs/2111.05257v1

    • [cs.LG]MLHarness: A Scalable Benchmarking System for MLCommons
    Yen-Hsiang Chang, Jianhao Pu, Wen-mei Hwu, Jinjun Xiong
    http://arxiv.org/abs/2111.05231v1

    • [cs.LG]Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
    Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang
    http://arxiv.org/abs/2111.04898v1

    • [cs.LG]MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers
    Adamo Young, Bo Wang, Hannes Röst
    http://arxiv.org/abs/2111.04824v1

    • [cs.LG]Misspecified Gaussian Process Bandit Optimization
    Ilija Bogunovic, Andreas Krause
    http://arxiv.org/abs/2111.05008v1

    • [cs.LG]MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
    Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
    http://arxiv.org/abs/2111.05073v1

    • [cs.LG]On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
    Paulina Stevia, Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
    http://arxiv.org/abs/2111.04865v1

    • [cs.LG]On Representation Knowledge Distillation for Graph Neural Networks
    Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo
    http://arxiv.org/abs/2111.04964v1

    • [cs.LG]On Training Implicit Models
    Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
    http://arxiv.org/abs/2111.05177v1

    • [cs.LG]Optimizing Bayesian acquisition functions in Gaussian Processes
    Ashish Anil Pawar, Ujwal Warbhe
    http://arxiv.org/abs/2111.04930v1

    • [cs.LG]Papaya: Practical, Private, and Scalable Federated Learning
    Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
    http://arxiv.org/abs/2111.04877v1

    • [cs.LG]Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
    Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Rob Nowak
    http://arxiv.org/abs/2111.04915v1

    • [cs.LG]Prediction of new outlinks for focused crawling
    Thi Kim Nhung Dang, Doina Bucur, Berk Atil, Guillaume Pitel, Frank Ruis, Hamidreza Kadkhodaei, Nelly Litvak
    http://arxiv.org/abs/2111.05062v1

    • [cs.LG]RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
    Antoine Caillon, Philippe Esling
    http://arxiv.org/abs/2111.05011v1

    • [cs.LG]Realizable Learning is All You Need
    Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan
    http://arxiv.org/abs/2111.04746v1

    • [cs.LG]Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning
    Stefan Radic Webster, Peter Flach
    http://arxiv.org/abs/2111.04972v1

    • [cs.LG]Safe Optimal Design with Applications in Policy Learning
    Ruihao Zhu, Branislav Kveton
    http://arxiv.org/abs/2111.04835v1

    • [cs.LG]Safe Policy Optimization with Local Generalized Linear Function Approximations
    Akifumi Wachi, Yunyue Wei, Yanan Sui
    http://arxiv.org/abs/2111.04894v1

    • [cs.LG]TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
    Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach
    http://arxiv.org/abs/2111.04798v1

    • [cs.LG]The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
    Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye
    http://arxiv.org/abs/2111.05326v1

    • [cs.LG]Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
    Pengfei Xia, Ziqiang Li, Bin Li
    http://arxiv.org/abs/2111.05063v1

    • [cs.LG]Turing-Universal Learners with Optimal Scaling Laws
    Preetum Nakkiran
    http://arxiv.org/abs/2111.05321v1

    • [cs.LG]Unified Group Fairness on Federated Learning
    Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
    http://arxiv.org/abs/2111.04986v1

    • [cs.LG]Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling
    Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki
    http://arxiv.org/abs/2111.04732v1

    • [cs.LG]Variational Multi-Task Learning with Gumbel-Softmax Priors
    Jiayi Shen, Marcel Worring, Ling Shao
    http://arxiv.org/abs/2111.05323v1

    • [cs.LG]Wasserstein Adversarially Regularized Graph Autoencoder
    Huidong Liang, Junbin Gao
    http://arxiv.org/abs/2111.04981v1

    • [cs.NE]An effective hybrid search algorithm for the multiple traveling repairman problem with profits
    Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu
    http://arxiv.org/abs/2111.05017v1

    • [cs.NI]Classifying DNS Servers based on Response Message Matrix using Machine Learning
    Keiichi Shima, Ryo Nakamura, Kazuya Okada, Tomohiro Ishihara, Daisuke Miyamoto, Yuji Sekiya
    http://arxiv.org/abs/2111.05034v1

    • [cs.RO]A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
    Bernardo Aceituno, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam
    http://arxiv.org/abs/2111.05318v1

    • [cs.RO]Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
    Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury
    http://arxiv.org/abs/2111.04957v1

    • [cs.RO]Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
    Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig Valls
    http://arxiv.org/abs/2111.05309v1

    • [cs.RO]Footstep Adjustment for Biped Push Recovery on Slippery Surfaces
    Erfan Ghorbani, Hossein Karimpour, Venus Pasandi, Mehdi Keshmiri
    http://arxiv.org/abs/2111.05203v1

    • [cs.RO]Learned Dynamics of Electrothermally-Actuated Soft Robot Limbs Using LSTM Neural Networks
    Rohan K. Mehta, Andrew P. Sabelhaus, Carmel Majidi
    http://arxiv.org/abs/2111.04851v1

    • [cs.RO]Learning Perceptual Concepts by Bootstrapping from Human Queries
    Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
    http://arxiv.org/abs/2111.05251v1

    • [cs.RO]Planar Robot Casting with Real2Sim2Real Self-Supervised Learning
    Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
    http://arxiv.org/abs/2111.04814v1

    • [cs.RO]Robot control for simultaneous impact tasks via QP based reference spreading
    Jari J. van Steen, Nathan van de Wouw, Alessandro Saccon
    http://arxiv.org/abs/2111.05211v1

    • [cs.RO]Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
    Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig Valls
    http://arxiv.org/abs/2111.05308v1

    • [cs.SD]CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
    Aaron Valero Puche, Sukhan Lee
    http://arxiv.org/abs/2111.05174v1

    • [cs.SD]Speaker Generation
    Daisy Stanton, Matt Shannon, Soroosh Mariooryad, RJ Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao
    http://arxiv.org/abs/2111.05095v1

    • [cs.SD]Ultra-Low Power Keyword Spotting at the Edge
    Mehmet Gorkem Ulkar, Osman Erman Okman
    http://arxiv.org/abs/2111.04988v1

    • [cs.SE]Building an AI-ready RSE Workforce
    Ying Zhang, Matthew A. Gitzendanner, Dan S. Maxwell, Justin W. Richardson, Kaleb E. Smith, Eric A. Stubbs, Brian J. Stucky, Jingchao Zhang, Erik Deumens
    http://arxiv.org/abs/2111.04916v1

    • [cs.SE]D今日学术视野(2021.11.11) - 图6ABS: A Framework for Dynamic Dependence Abstraction of Distributed Programs
    Haipeng Cai, Xiaoqin Fu
    http://arxiv.org/abs/2111.04837v1

    • [cs.SI]Community detection using low-dimensional network embedding algorithms
    Aman Barot, Shankar Bhamidi, Souvik Dhara
    http://arxiv.org/abs/2111.05267v1

    • [cs.SI]High-order joint embedding for multi-level link prediction
    Yubai Yuan, Annie Qu
    http://arxiv.org/abs/2111.05265v1

    • [cs.SI]Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
    Appan Rakaraddi, Mahardhika Pratama
    http://arxiv.org/abs/2111.05264v1

    • [econ.EM]Bounding Treatment Effects by Pooling Limited Information across Observations
    Sokbae Lee, Martin Weidner
    http://arxiv.org/abs/2111.05243v1

    • [econ.EM]Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
    Rahul Singh
    http://arxiv.org/abs/2111.05277v1

    • [econ.EM]Optimal Decision Rules Under Partial Identification
    Kohei Yata
    http://arxiv.org/abs/2111.04926v1

    • [eess.IV]Approaching the Limit of Image Rescaling via Flow Guidance
    Shang Li, Guixuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
    http://arxiv.org/abs/2111.05133v1

    • [eess.IV]Bilinear pooling and metric learning network for early Alzheimer’s disease identification with FDG-PET images
    Wenju Cui, Caiying Yan, Zhuangzhi Yan, Yunsong Peng, Yilin Leng, Chenlu Liu, Shuangqing Chen, Xi Jiang
    http://arxiv.org/abs/2111.04985v1

    • [eess.IV]DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
    Ali Karaali, Rozenn Dahyot, Donal J. Sexton
    http://arxiv.org/abs/2111.04739v1

    • [eess.IV]Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography
    Hengrong Lan, Jiali Gong, Fei Gao
    http://arxiv.org/abs/2111.05194v1

    • [eess.IV]Dense Representative Tooth Landmark/axis Detection Network on 3D Model
    Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, Pradeep Singh, Min Gu, Wenping Wang
    http://arxiv.org/abs/2111.04212v2

    • [eess.IV]GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention
    Thanh Nguyen, Hieu Hoang, Chang D. Yoo
    http://arxiv.org/abs/2111.05014v1

    • [eess.IV]Leveraging blur information for plenoptic camera calibration
    Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider
    http://arxiv.org/abs/2111.05226v1

    • [eess.IV]Lymph Node Detection in T2 MRI with Transformers
    Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
    http://arxiv.org/abs/2111.04885v1

    • [eess.IV]MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
    Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/2111.05055v1

    • [eess.IV]Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
    Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel Mollura, David Chapman
    http://arxiv.org/abs/2111.04893v1

    • [eess.IV]Mixed Transformer U-Net For Medical Image Segmentation
    Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
    http://arxiv.org/abs/2111.04734v1

    • [eess.IV]Multi-Modality Cardiac Image Analysis with Deep Learning
    Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang
    http://arxiv.org/abs/2111.04736v1

    • [eess.IV]Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
    Juan Carlos Angeles-Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali
    http://arxiv.org/abs/2111.04911v1

    • [eess.IV]Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
    Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang
    http://arxiv.org/abs/2111.04733v1

    • [eess.IV]Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
    Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Danijel Skočaj
    http://arxiv.org/abs/2111.05125v1

    • [eess.IV]Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
    Priscille de Dumast, Hamza Kebiri, Kelly Payette, Andras Jakab, Hélène Lajous, Meritxell Bach Cuadra
    http://arxiv.org/abs/2111.04737v1

    • [eess.IV]The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker
    Satish K. Panda, Haris Cheong, Tin A. Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira Perera, Ching-Yu Cheng, Tin Aung, Alexandre H. Thiery, Michael J. A. Girard
    http://arxiv.org/abs/2111.03997v2

    • [eess.IV]Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles
    Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers
    http://arxiv.org/abs/2111.04886v1

    • [eess.IV]Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
    Max Torop, Sandesh Ghimire, Wenqian Liu, Dana H. Brooks, Octavia Camps, Milind Rajadhyaksha, Jennifer Dy, Kivanc Kose
    http://arxiv.org/abs/2111.04807v1

    • [eess.SP]A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring
    Ronak Aghera, Sahil Chilana, Vishal Garg, Raghunath Reddy
    http://arxiv.org/abs/2111.05120v1

    • [eess.SP]Classification of sums of complex exponentials
    Magdalena Bouza, Andres Altieri, Cecilia G. Galarza
    http://arxiv.org/abs/2111.05081v1

    • [eess.SY]Resistance Distance and Control Performance for Google bittide Synchronization
    Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink
    http://arxiv.org/abs/2111.05296v1

    • [hep-th]The World in a Grain of Sand: Condensing the String Vacuum Degeneracy
    Yang-Hui He, Shailesh Lal, M. Zaid Zaz
    http://arxiv.org/abs/2111.04761v1

    • [math.NA]Machine-learning custom-made basis functions for partial differential equations
    Brek Meuris, Saad Qadeer, Panos Stinis
    http://arxiv.org/abs/2111.05307v1

    • [math.OC]Solving PDE-constrained Control Problems using Operator Learning
    Rakhoon Hwang, Jae Yong Lee, Jin Young Shin, Hyung Ju Hwang
    http://arxiv.org/abs/2111.04941v1

    • [math.ST]On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests
    Marc Hallin, Gilles Mordant
    http://arxiv.org/abs/2111.04705v2

    • [physics.soc-ph]Metadata-informed community detection with lazy encoding using absorbing random walks
    Aleix Bassolas, Anton Eriksson, Antoine Marot, Martin Rosvall, Vincenzo Nicosia
    http://arxiv.org/abs/2111.05158v1

    • [q-bio.QM]BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
    Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci
    http://arxiv.org/abs/2111.04740v1

    • [q-bio.QM]HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
    Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
    http://arxiv.org/abs/2111.04738v1

    • [q-bio.QM]Stain-free Detection of Embryo Polarization using Deep Learning
    Cheng Shen, Adiyant Lamba, Meng Zhu, Ray Zhang, Changhuei Yang, Magdalena Zernicka Goetz
    http://arxiv.org/abs/2111.05315v1

    • [quant-ph]Generalization in quantum machine learning from few training data
    Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, Patrick J. Coles
    http://arxiv.org/abs/2111.05292v1

    • [quant-ph]Mode connectivity in the loss landscape of parameterized quantum circuits
    Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser
    http://arxiv.org/abs/2111.05311v1

    • [quant-ph]Representation Learning via Quantum Neural Tangent Kernels
    Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo
    http://arxiv.org/abs/2111.04225v2

    • [stat.AP]An Examination of Sport Climbing’s Competition Format and Scoring System
    Quang Nguyen, Hannah Butler, Gregory J. Matthews
    http://arxiv.org/abs/2111.05310v1

    • [stat.AP]Determinants of Women’s Attitude towards Intimate Partner Violence: Evidence from Bangladesh
    Md Tareq Ferdous Khan, Lianfen Qian
    http://arxiv.org/abs/2111.04892v1

    • [stat.AP]Using sequential drift detection to test the API economy
    Samuel Ackerman, Parijat Dube, Eitan Farchi
    http://arxiv.org/abs/2111.05136v1

    • [stat.ME]Changepoint detection in non-exchangeable data
    Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams
    http://arxiv.org/abs/2111.05054v1

    • [stat.ME]Double robust estimation of partially adaptive treatment strategies
    Denis Talbot, Erica EM Moodie, Caroline Diorio
    http://arxiv.org/abs/2111.04844v1

    • [stat.ME]Exploratory Factor Analysis of Data on a Sphere
    Fan Dai, Karin S. Dorman, Somak Dutta, Ranjan Maitra
    http://arxiv.org/abs/2111.04940v1

    • [stat.ME]In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior
    Antonio R. Linero
    http://arxiv.org/abs/2111.05137v1

    • [stat.ME]Kernel estimation of bivariate time-varying coefficient model for longitudinal data with terminal event
    Yue Wang, Bin Nan, Jack D. Kalbfleisch
    http://arxiv.org/abs/2111.04938v1

    • [stat.ML]Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
    Michalis K. Titsias, Jiaxin Shi
    http://arxiv.org/abs/2111.05300v1

    • [stat.ML]Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification
    Sai Krishna Mendu, Souvik Chakraborty
    http://arxiv.org/abs/2111.05123v1

    • [stat.ML]Harmless interpolation in regression and classification with structured features
    Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya Muthukumar
    http://arxiv.org/abs/2111.05198v1

    • [stat.ML]Query-augmented Active Metric Learning
    Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu
    http://arxiv.org/abs/2111.04871v1

    • [stat.ML]Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression
    Resve A. Saleh, A. K. Md. Ehsanes Saleh
    http://arxiv.org/abs/2111.04805v1

    • [stat.ML]The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
    Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar
    http://arxiv.org/abs/2111.04906v1