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 -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 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]DABS: 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 -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 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]DABS: 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