astro-ph.EP - 地球与行星天体
    astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.mes-hall - 尺度和物理纳米
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.GT - 计算机科学与博弈论
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MM - 多媒体
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.OS - 操作系统
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.ST - 统计理论
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.EP]Machine Learning for Mars Exploration
    • [astro-ph.IM]Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks
    • [astro-ph.IM]Weight Pruning and Uncertainty in Radio Galaxy Classification
    • [cond-mat.mes-hall]Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing
    • [cs.AI]A Logical Semantics for PDDL+
    • [cs.AI]Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies
    • [cs.AI]Inducing Functions through Reinforcement Learning without Task Specification
    • [cs.AI]Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration
    • [cs.AI]Realistic simulation of users for IT systems in cyber ranges
    • [cs.AI]Solve Optimization Problems with Unknown Constraint Networks
    • [cs.CL]A bifurcation threshold for contact-induced language change
    • [cs.CL]Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network
    • [cs.CL]CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
    • [cs.CL]Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
    • [cs.CL]Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains
    • [cs.CL]Romanian Speech Recognition Experiments from the ROBIN Project
    • [cs.CL]S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
    • [cs.CL]TWEETSUMM — A Dialog Summarization Dataset for Customer Service
    • [cs.CL]Triple Classification for Scholarly Knowledge Graph Completion
    • [cs.CL]Zero-Shot Open-Book Question Answering
    • [cs.CR]A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries
    • [cs.CR]Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
    • [cs.CV]A General Divergence Modeling Strategy for Salient Object Detection
    • [cs.CV]A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
    • [cs.CV]A new dynamical model for solving rotation averaging problem
    • [cs.CV]A self-training framework for glaucoma grading in OCT B-scans
    • [cs.CV]ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images
    • [cs.CV]AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place Recognition
    • [cs.CV]Camera Measurement of Physiological Vital Signs
    • [cs.CV]Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling
    • [cs.CV]CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning
    • [cs.CV]DBIA: Data-free Backdoor Injection Attack against Transformer Networks
    • [cs.CV]Deep Point Cloud Reconstruction
    • [cs.CV]Deep Residual Fourier Transformation for Single Image Deblurring
    • [cs.CV]Efficient Video Transformers with Spatial-Temporal Token Selection
    • [cs.CV]Explainable Deep Image Classifiers for Skin Lesion Diagnosis
    • [cs.CV]Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos
    • [cs.CV]Exploring Non-Contrastive Representation Learning for Deep Clustering
    • [cs.CV]FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
    • [cs.CV]Few-Shot Object Detection via Association and DIscrimination
    • [cs.CV]Focal and Global Knowledge Distillation for Detectors
    • [cs.CV]Gait Identification under Surveillance Environment based on Human Skeleton
    • [cs.CV]GenReg: Deep Generative Method for Fast Point Cloud Registration
    • [cs.CV]Generative Adversarial Networks for Astronomical Images Generation
    • [cs.CV]Hierarchical Graph Networks for 3D Human Pose Estimation
    • [cs.CV]HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation
    • [cs.CV]IR Motion Deblurring
    • [cs.CV]Ice hockey player identification via transformers
    • [cs.CV]Image Based Reconstruction of Liquids from 2D Surface Detections
    • [cs.CV]Inferring User Facial Affect in Work-like Settings
    • [cs.CV]Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances
    • [cs.CV]L-Verse: Bidirectional Generation Between Image and Text
    • [cs.CV]LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
    • [cs.CV]Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
    • [cs.CV]Leveraging Selective Prediction for Reliable Image Geolocation
    • [cs.CV]Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
    • [cs.CV]MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching
    • [cs.CV]Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
    • [cs.CV]Modeling Temporal Conce
    b1f
    pt Receptive Field Dynamically for Untrimmed Video Analysis
    • [cs.CV]Multi-Person 3D Motion Prediction with Multi-Range Transformers
    • [cs.CV]Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning
    • [cs.CV]PAM: Pose Attention Module for Pose-Invariant Face Recognition
    • [cs.CV]PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
    • [cs.CV]PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network
    • [cs.CV]Pruning Self-attentions into Convolutional Layers in Single Path
    • [cs.CV]REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
    • [cs.CV]ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
    • [cs.CV]Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
    • [cs.CV]Results of improved fractional/integer order PDE-based binarization model
    • [cs.CV]Self-Regulated Learning for Egocentric Video Activity Anticipation
    • [cs.CV]Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
    • [cs.CV]Semi-Online Knowledge Distillation
    • [cs.CV]Semi-Supervised Learning with Taxonomic Labels
    • [cs.CV]ShufaNet: Classification method for calligraphers who have reached the professional level
    • [cs.CV]Simultaneous face detection and 360 degree headpose estimation
    • [cs.CV]Smoothing the Generative Latent Space with Mixup-based Distance Learning
    • [cs.CV]Sparse Fusion for Multimodal Transformers
    • [cs.CV]StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks
    • [cs.CV]Tensor Component Analysis for Interpreting the Latent Space of GANs
    • [cs.CV]U-shape Transformer for Underwater Image Enhancement
    • [cs.CV]Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
    • [cs.CV]Using mixup as regularization and tuning hyper-parameters for ResNets
    • [cs.CV]Weakly-Supervised Cloud Detection with Fixed-Point GANs
    • [cs.CY]TecCoBot: Technology-aided support for self-regulated learning
    • [cs.CY]The Ethics of Biosurveillance
    • [cs.DC]A Variant RSA Acceleration with Parallelization
    • [cs.DC]Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
    • [cs.DC]LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding
    • [cs.DC]Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
    • [cs.DC]Modular population protocols
    • [cs.DC]NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems
    • [cs.DC]Real-time intelligent big data processing: technology, platform, and applications
    • [cs.DC]Reliable Actors with Retry Orchestration
    • [cs.DS]On the Local Communication Complexity of Counting and Modular Arithmetic
    • [cs.GT]Independent Learning in Stochastic Games
    • [cs.IR]Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
    • [cs.IR]Learning Dynamic Preference Structure Embedding From Temporal Networks
    • [cs.IT]Active IRS Aided WPCNs: A New Paradigm Towards Higher Efficiency and Wider Coverage
    • [cs.IT]Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
    • [cs.IT]On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints
    • [cs.IT]RIS-Assisted Receive Quadrature Space-Shift Keying: A New Paradigm and Performance Analysis
    • [cs.IT]Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations
    • [cs.IT]Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution
    • [cs.IT]Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
    • [cs.LG]A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence
    • [cs.LG]Adaptive Multi-Goal Exploration
    • [cs.LG]Adversarial machine learning for protecting against online manipulation
    • [cs.LG]Anomaly-resistant Graph Neural Networks via Neural Architecture Search
    • [cs.LG]Appliance Level Short-term Load Forecasting via Recurrent Neural Network
    • [cs.LG]Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
    • [cs.LG]Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
    • [cs.LG]Bootstrap Your Flow
    • [cs.LG]Building Goal-Oriented Dialogue Systems with Situated Visual Context
    • [cs.LG]CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
    • [cs.LG]Component Transfer Learning for Deep RL Based on Abstract Representations
    • [cs.LG]Composing Partial Differential Equations with Physics-Aware Neural Networks
    • [cs.LG]DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
    • [cs.LG]Deep learning-based fast solver of the shallow water equations
    • [cs.LG]Depth induces scale-averaging in overparameterized linear Bayesian neural networks
    • [cs.LG]Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR
    • [cs.LG]End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
    • [cs.LG]FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
    • [cs.LG]Forget-SVGD: Particle-Based Bayesian Federated Unlearning
    • [cs.LG]Generalized Decision Transformer for Offline Hindsight Information Matching
    • [cs.LG]Generating GPU Compiler Heuristics using Reinforcement Learning
    • [cs.LG]Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification
    • [cs.LG]HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance
    • [cs.LG]Identifying the Units of Measurement in Tabular Data
    • [cs.LG]Learnable Structural Semantic Readout for Graph Classification
    • [cs.LG]Learning Symbolic Rules for Reasoning in Quasi-Natural Language
    • [cs.LG]Link Analysis meets Ontologies: Are Embeddings the Answer?
    • [cs.LG]Local Permutation Equivariance For Graph Neural Networks
    • [cs.LG]Lossless Compression with Probabilistic Circuits
    • [cs.LG]Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
    • [cs.LG]Multi-task manifold learning for small sample size datasets
    • [cs.LG]Network In Graph Neural Network
    • [cs.LG]On Data-centric Myths
    • [cs.LG]Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19
    • [cs.LG]Reviewing continual learning from the perspective of human-level intelligence
    • [cs.LG]Sample Efficient Imitation Learning via Reward Function Trained in Advance
    • [cs.LG]Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations
    • [cs.LG]Schedule Based Temporal Difference Algorithms
    • [cs.LG]Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning
    • [cs.LG]Uncertainty estimation under model misspecification in neural network regression
    • [cs.LG]Understanding the Impact of Data Distribution on Q-learning with Function Approximation
    • [cs.LG]Variance Reduction in Deep Learning: More Momentum is All You Need
    • [cs.LG]Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
    • [cs.LG]ptype-cat: Inferring the Type and Values of Categorical Variables
    • [cs.MM]An End-to-End Framework for Dynamic Crime Profiling of Places
    • [cs.NE]Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
    • [cs.NI]pmSensing: A Participatory Sensing Network for Predictive Monitoring of Particulate Matter
    • [cs.OS]KML: Using Machine Learning to Improve Storage Systems
    • [cs.RO]Integrating Imitation Learning with Human Driving Data into Reinforcement Learning to Improve Training Efficiency for Autonomous Driving
    • [cs.RO]Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
    • [cs.RO]Tenodesis Grasp Emulator: Kinematic Assessment of Wrist-Driven Orthotic Control
    • [cs.RO]UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
    • [cs.RO]VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
    • [cs.SD]Guided-TTS:Text-to-Speech with Untranscribed Speech
    • [cs.SD]Music Classification: Beyond Supervised Learning, Towards Real-world Applications
    • [cs.SD]Upsampling layers for music source separation
    • [cs.SI]A Modular Framework for Centrality and Clustering in Complex Networks
    • [cs.SI]Consensus formation on heterogeneous networks
    • [cs.SI]Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective
    • [cs.SI]Local assortativity affects the synchronizability of scale-free network
    • [cs.SI]Network Effects Research: A Systematic Review of Theoretical Mechanisms and Measures
    • [cs.SI]People Lie, Actions Don’t! Modeling Infodemic Proliferation Predictors among Social Media Users
    • [cs.SI]Social Graph Restoration via Random Walk Sampling
    • [eess.AS]SpeechMoE2: Mixture-of-Experts Model with Improved Routing
    • [eess.IV]Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images
    • [eess.IV]Extending the Unmixing methods to Multispectral Images
    • [eess.IV]Is Deep Image Prior in Need of a Good Education?
    • [eess.IV]Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning
    • [eess.IV]RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
    • [eess.IV]The RETA Benchmark for Retinal Vascular Tree Analysis
    • [eess.IV]Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
    • [eess.SP]Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
    • [eess.SY]Robust Control of Nanoscale Drug Delivery System in Atherosclerosis: A Mathematical Approach
    • [eess.SY]Universal Swarm Computing by Nanorobots
    • [math.ST]MARS via LASSO
    • [math.ST]Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
    • [math.ST]Tree density estimation
    • [math.ST]Trimming Stability Selection increases variable selection robustness
    • [stat.AP]Bayesian Robust Learning in Chain Graph Models for Integrative Pharmacogenomics
    • [stat.AP]Measurement That Matches Theory: Theory-Driven Identification in IRT Models
    • [stat.ME]Approximate Bayesian Computation via Classification
    • [stat.ME]Combining chains of Bayesian models with Markov melding
    • [stat.ME]Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates
    • [stat.ME]Identification of vaccine effects when exposure status is unknown
    • [stat.ME]Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width
    • [stat.ML]A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning
    • [stat.ML]Bayesian Learning via Neural Schrödinger-Föllmer Flows
    • [stat.ML]Depth Without the Magic: Inductive Bias of Natural Gradient Descent
    • [stat.ML]Is Shapley Explanation for a model unique?
    • [stat.ML]Isolation forests: looking beyond tree depth
    • [stat.ML]RIO: Rotation-equivariance supervised learning of robust inertial odometry

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

    • [astro-ph.EP]Machine Learning for Mars Exploration
    Ali Momennasab
    http://arxiv.org/abs/2111.11537v1

    • [astro-ph.IM]Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks
    Naoya Ozaki, Kanta Yanagida, Takuya Chikazawa, Nishanth Pushparaj, Naoya Takeishi, Ryuki Hyodo
    http://arxiv.org/abs/2111.11858v1

    • [astro-ph.IM]Weight Pruning and Uncertainty in Radio Galaxy Classification
    Devina Mohan, Anna Scaife
    http://arxiv.org/abs/2111.11654v1

    • [cond-mat.mes-hall]Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing
    Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia
    http://arxiv.org/abs/2111.11516v1

    • [cs.AI]A Logical Semantics for PDDL+
    Vitaliy Batusov, Mikhail Soutchanski
    http://arxiv.org/abs/2111.11588v1

    • [cs.AI]Answering Fuzzy Queries over Fuzzy DL-Lite Ontologies
    Gabriella Pasi, Rafael Peñaloza
    http://arxiv.org/abs/2111.11779v1

    • [cs.AI]Inducing Functions through Reinforcement Learning without Task Specification
    Junmo Cho, Dong-Hwan Lee, Young-Gyu Yoon
    http://arxiv.org/abs/2111.11647v1

    • [cs.AI]Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration
    Dmitry Maximov, Sekou A. K. Diane
    http://arxiv.org/abs/2111.11965v1

    • [cs.AI]Realistic simulation of users for IT systems in cyber ranges
    Alexandre Dey, Benjamin Costé, Éric Totel, Adrien Bécue
    http://arxiv.org/abs/2111.11785v1

    • [cs.AI]Solve Optimization Problems with Unknown Constraint Networks
    Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar
    http://arxiv.org/abs/2111.11871v1

    • [cs.CL]A bifurcation threshold for contact-induced language change
    Henri Kauhanen
    http://arxiv.org/abs/2111.12061v1

    • [cs.CL]Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network
    Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Junbo Zhao
    http://arxiv.org/abs/2111.11707v1

    • [cs.CL]CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
    Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand
    http://arxiv.org/abs/2111.11815v1

    • [cs.CL]Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
    Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He
    http://arxiv.org/abs/2111.11766v1

    • [cs.CL]Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains
    Somya Khosla
    http://arxiv.org/abs/2111.11159v1

    • [cs.CL]Romanian Speech Recognition Experiments from the ROBIN Project
    Andrei-Marius Avram, Vasile Păiş, Dan Tufiş
    http://arxiv.org/abs/2111.12028v1

    • [cs.CL]S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
    Junlei Zhang, Zhenzhong lan
    http://arxiv.org/abs/2111.11750v1

    • [cs.CL]TWEETSUMM — A Dialog Summarization Dataset for Customer Service
    Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov
    http://arxiv.org/abs/2111.11894v1

    • [cs.CL]Triple Classification for Scholarly Knowledge Graph Completion
    Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Sören Auer
    http://arxiv.org/abs/2111.11845v1

    • [cs.CL]Zero-Shot Open-Book Question Answering
    Sia Gholami, Mehdi Noori
    http://arxiv.org/abs/2111.11520v1

    • [cs.CR]A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries
    Prithviraj Dasgupta, Zachariah Osman
    http://arxiv.org/abs/2111.11487v1

    • [cs.CR]Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
    Carlos A. Rivera A., Arash Shaghaghi, David D. Nguyen, Salil S. Kanhere
    http://arxiv.org/abs/2111.11874v1

    • [cs.CV]A General Divergence Modeling Strategy for Salient Object Detection
    Xinyu Tian, Jing Zhang, Yuchao Dai
    http://arxiv.org/abs/2111.11827v1

    • [cs.CV]A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
    Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli, Benedetto Michelozzi
    http://arxiv.org/abs/2111.11709v1

    • [cs.CV]A new dynamical model for solving rotation averaging problem
    Zinaid Kapić, Aladin Crnkić, Vladimir Jaćimović, Nevena Mijajlović
    http://arxiv.org/abs/2111.11723v1

    • [cs.CV]A self-training framework for glaucoma grading in OCT B-scans
    Gabriel García, Adrián Colomer, Rafael Verdú-Monedero, José Dolz, Valery Naranjo
    http://arxiv.org/abs/2111.11771v1

    • [cs.CV]ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images
    Seyed Mohammad Hassan Erfani, Zhenyao Wu, Xinyi Wu, Song Wang, Erfan Goharian
    http://arxiv.org/abs/2111.11567v1

    • [cs.CV]AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place Recognition
    Haowen Lai, Peng Yin, Sebastian Scherer
    http://arxiv.org/abs/2111.11739v1

    • [cs.CV]Camera Measurement of Physiological Vital Signs
    Daniel McDuff
    http://arxiv.org/abs/2111.11547v1

    • [cs.CV]Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling
    Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang
    http://arxiv.org/abs/2111.12085v1

    • [cs.CV]CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning
    Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses
    http://arxiv.org/abs/2111.11646v1

    • [cs.CV]DBIA: Data-free Backdoor Injection Attack against Transformer Networks
    Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang
    http://arxiv.org/abs/2111.11870v1

    • [cs.CV]Deep Point Cloud Reconstruction
    Jaesung Choe, Byeongin Joung, Francois Rameau, Jaesik Park, In So Kweon
    http://arxiv.org/abs/2111.11704v1

    • [cs.CV]Deep Residual Fourier Transformation for Single Image Deblurring
    Xintian Mao, Yiming Liu, Wei Shen, Qingli Li, Yan Wang
    http://arxiv.org/abs/2111.11745v1

    • [cs.CV]Efficient Video Transformers with Spatial-Temporal Token Selection
    Junke Wang, Xitong Yang, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang
    http://arxiv.org/abs/2111.11591v1

    • [cs.CV]Explainable Deep Image Classifiers for Skin Lesion Diagnosis
    Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
    http://arxiv.org/abs/2111.11863v1

    • [cs.CV]Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos
    Xinpeng Ding, Xiaomeng Li
    http://arxiv.org/abs/2111.11044v1

    • [cs.CV]Exploring Non-Contrastive Representation Learning for Deep Clustering
    Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan
    http://arxiv.org/abs/2111.11821v1

    • [cs.CV]FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
    Hichem Sahbi, Haoming Zhan
    http://arxiv.org/abs/org/abs/2111.11366v1

    • [cs.CV]Few-Shot Object Detection via Association and DIscrimination
    Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin
    http://arxiv.org/abs/2111.11656v1

    • [cs.CV]Focal and Global Knowledge Distillation for Detectors
    Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan
    http://arxiv.org/abs/2111.11837v1

    • [cs.CV]Gait Identification under Surveillance Environment based on Human Skeleton
    Xingkai Zheng, Xirui Li, Ke Xu
    http://arxiv.org/abs/2111.11720v1

    • [cs.CV]GenReg: Deep Generative Method for Fast Point Cloud Registration
    Xiaoshui Huang, Zongyi Xu, Guofeng Mei, Sheng Li, Jian Zhang, Yifan Zuo, Yucheng Wang
    http://arxiv.org/abs/2111.11783v1

    • [cs.CV]Generative Adversarial Networks for Astronomical Images Generation
    Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi
    http://arxiv.org/abs/2111.11578v1

    • [cs.CV]Hierarchical Graph Networks for 3D Human Pose Estimation
    Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenlin Li, Junni Zou, Hongkai Xiong
    http://arxiv.org/abs/2111.11927v1

    • [cs.CV]HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation
    Shaobo Guo, Xiao Jiang, Zhizhong Su, Rui Wu, Xin Wang
    http://arxiv.org/abs/2111.11691v1

    • [cs.CV]IR Motion Deblurring
    Nisha Varghese, Mahesh Mohan M. R., A. N. Rajagopalan
    http://arxiv.org/abs/2111.11734v1

    • [cs.CV]Ice hockey player identification via transformers
    Kanav Vats, William McNally, Pascale Walters, David A. Clausi, John S. Zelek
    http://arxiv.org/abs/2111.11535v1

    • [cs.CV]Image Based Reconstruction of Liquids from 2D Surface Detections
    Florian Richter, Ryan K. Orosco, Michael C. Yip
    http://arxiv.org/abs/2111.11491v1

    • [cs.CV]Inferring User Facial Affect in Work-like Settings
    Chaudhary Muhammad Aqdus Ilyas, Siyang Song, Hatice Gunes
    http://arxiv.org/abs/2111.11862v1

    • [cs.CV]Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances
    Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, Javier Galbally
    http://arxiv.org/abs/2111.11794v1

    • [cs.CV]L-Verse: Bidirectional Generation Between Image and Text
    Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae
    http://arxiv.org/abs/2111.11133v2

    • [cs.CV]LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
    Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
    http://arxiv.org/abs/2111.11892v1

    • [cs.CV]Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
    Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
    http://arxiv.org/abs/2111.11625v1

    • [cs.CV]Leveraging Selective Prediction for Reliable Image Geolocation
    Apostolos Panagiotopoulos, Giorgos Kordopatis-Zilos, Symeon Papadopoulos
    http://arxiv.org/abs/2111.11952v1

    • [cs.CV]Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
    Qiang Nie, Ziwei Liu, Yunhui Liu
    http://arxiv.org/abs/2111.11969v1

    • [cs.CV]MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching
    Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-shen Liu, Bisheng Yang
    http://arxiv.org/abs/2111.11976v1

    • [cs.CV]Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
    Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
    http://arxiv.org/abs/2111.12077v1

    • [cs.CV]Modeling Temporal Conce
    b1f
    pt Receptive Field Dynamically for Untrimmed Video Analysis
    Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Weigang Zhang, Qingming Huang
    http://arxiv.org/abs/2111.11653v1

    • [cs.CV]Multi-Person 3D Motion Prediction with Multi-Range Transformers
    Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang
    http://arxiv.org/abs/2111.12073v1

    • [cs.CV]Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning
    Derek Long, Cameron McMurdo, Edward Ferdian, Charlene Mauger
    http://arxiv.org/abs/2111.11660v1

    • [cs.CV]PAM: Pose Attention Module for Pose-Invariant Face Recognition
    En-Jung Tsai, Wei-Chang Yeh
    http://arxiv.org/abs/2111.11940v1

    • [cs.CV]PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
    Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip Torr, Guoying Zhao
    http://arxiv.org/abs/2111.12082v1

    • [cs.CV]PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network
    Faris Azhari, Charlotte Sennersten, Michael Milford, Thierry Peynot
    http://arxiv.org/abs/2111.11615v1

    • [cs.CV]Pruning Self-attentions into Convolutional Layers in Single Path
    Haoyu He, Jing Liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang
    http://arxiv.org/abs/2111.11802v1

    • [cs.CV]REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
    Yifan Zhang, Haoyu Dong, Nicolas Konz, Hanxue Gu, Maciej A. Mazurowski
    http://arxiv.org/abs/2111.11546v1

    • [cs.CV]ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
    Sumit Chaturvedi, Michal Lukáč, Siddhartha Chaudhuri
    http://arxiv.org/abs/2111.11759v1

    • [cs.CV]Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
    Nelson Diaz, Omar Gallo, Jhon Caceres, Hernan Porras
    http://arxiv.org/abs/2111.11481v1

    • [cs.CV]Results of improved fractional/integer order PDE-based binarization model
    Uche A. Nnolim
    http://arxiv.org/abs/2111.11899v1

    • [cs.CV]Self-Regulated Learning for Egocentric Video Activity Anticipation
    Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, Qi Tian
    http://arxiv.org/abs/2111.11631v1

    • [cs.CV]Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
    Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin
    http://arxiv.org/abs/2111.12084v1

    • [cs.CV]Semi-Online Knowledge Distillation
    Zhiqiang Liu, Yanxia Liu, Chengkai Huang
    http://arxiv.org/abs/2111.11747v1

    • [cs.CV]Semi-Supervised Learning with Taxonomic Labels
    Jong-Chyi Su, Subhransu Maji
    http://arxiv.org/abs/2111.11595v1

    • [cs.CV]ShufaNet: Classification method for calligraphers who have reached the professional level
    Ge Yunfei, Diao Changyu, Li Min, Yu Ruohan, Qiu Linshan, Xu Duanqing
    http://arxiv.org/abs/2111.11350v1

    • [cs.CV]Simultaneous face detection and 360 degree headpose estimation
    Hoang Nguyen Viet, Linh Nguyen Viet, Tuan Nguyen Dinh, Duc Tran Minh, Long Tran Quoc
    http://arxiv.org/abs/2111.11604v1

    • [cs.CV]Smoothing the Generative Latent Space with Mixup-based Distance Learning
    Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak
    http://arxiv.org/abs/2111.11672v1

    • [cs.CV]Sparse Fusion for Multimodal Transformers
    Yi Ding, Alex Rich, Mason Wang, Noah Stier, Pradeep Sen, Matthew Turk, Tobias Höllerer
    http://arxiv.org/abs/2111.11992v1

    • [cs.CV]StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks
    Lei Li, Kai Fan, Chun Yuan
    http://arxiv.org/abs/2111.11718v1

    • [cs.CV]Tensor Component Analysis for Interpreting the Latent Space of GANs
    James Oldfield, Markos Georgopoulos, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras
    http://arxiv.org/abs/2111.11736v1

    • [cs.CV]U-shape Transformer for Underwater Image Enhancement
    Lintao Peng, Chunli Zhu, Liheng Bian
    http://arxiv.org/abs/2111.11843v1

    • [cs.CV]Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
    Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham
    http://arxiv.org/abs/2111.11629v1

    • [cs.CV]Using mixup as regularization and tuning hyper-parameters for ResNets
    Venkata Bhanu Teja Pallakonda
    http://arxiv.org/abs/2111.11616v1

    • [cs.CV]Weakly-Supervised Cloud Detection with Fixed-Point GANs
    Joachim Nyborg, Ira Assent
    http://arxiv.org/abs/2111.11879v1

    • [cs.CY]TecCoBot: Technology-aided support for self-regulated learning
    Norbert Pengel, Anne Martin, Roy Meissner, Tamar Arndt, Alexander Tobias Neumann, Peter de Lange, Heinz-Werner Wollersheim
    http://arxiv.org/abs/2111.11881v1

    • [cs.CY]The Ethics of Biosurveillance
    S. K. Devitt, P. W. J. Baxter
    http://arxiv.org/abs/2111.11712v1

    • [cs.DC]A Variant RSA Acceleration with Parallelization
    Jun-jie Liu, Kang-Too Tsang, Yu-Hui Deng
    http://arxiv.org/abs/2111.11924v1

    • [cs.DC]Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
    Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik Vishwanath, Cody Perakslis, Abhishek Chandra, Jon Weissman
    http://arxiv.org/abs/2111.12002v1

    • [cs.DC]LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding
    Hamidreza Zare, Viveck R. Cadambe, Bhuvan Urgaonkar, Chetan Sharma, Praneet Soni, Nader Alfares, Arif Merchant
    http://arxiv.org/abs/2111.12009v1

    • [cs.DC]Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
    Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Chen, Keqin Li
    http://arxiv.org/abs/2111.11682v1

    • [cs.DC]Modular population protocols
    Mikhail Raskin
    http://arxiv.org/abs/2111.11983v1

    • [cs.DC]NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems
    Daniel J. Blueman, Foivos Zakkak, Christos Kotselidis
    http://arxiv.org/abs/2111.11836v1

    • [cs.DC]Real-time intelligent big data processing: technology, platform, and applications
    Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo
    http://arxiv.org/abs/2111.11872v1

    • [cs.DC]Reliable Actors with Retry Orchestration
    Olivier Tardieu, David Grove, Gheorghe-Teodor Bercea, Paul Castro, Jaroslaw Cwiklik, Edward Epstein
    http://arxiv.org/abs/2111.11562v1

    • [cs.DS]On the Local Communication Complexity of Counting and Modular Arithmetic
    Bala Kalyanasundaram, Calvin Newport
    http://arxiv.org/abs/2111.11460v1

    • [cs.GT]Independent Learning in Stochastic Games
    Asuman Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang
    http://arxiv.org/abs/2111.11743v1

    • [cs.IR]Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
    Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou
    http://arxiv.org/abs/2111.10539v2

    • [cs.IR]Learning Dynamic Preference Structure Embedding From Temporal Networks
    Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
    http://arxiv.org/abs/2111.11886v1

    • [cs.IT]Active IRS Aided WPCNs: A New Paradigm Towards Higher Efficiency and Wider Coverage
    Piao Zeng, Deli Qiao, Qingqing Wu, Yuan Wu
    http://arxiv.org/abs/2111.11600v1

    • [cs.IT]Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
    Milad Tatar Mamaghani, Yi Hong
    http://arxiv.org/abs/2111.11650v1

    • [cs.IT]On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints
    Ru-Han Chen, Longguang Li, Jian Zhang, Wenyi Zhang, Jing Zhou
    http://arxiv.org/abs/2111.11637v1

    • [cs.IT]RIS-Assisted Receive Quadrature Space-Shift Keying: A New Paradigm and Performance Analysis
    Mohamad H. Dinan, Nemanja Stefan Perovic, Mark F. Flanagan
    http://arxiv.org/abs/2111.11813v1

    • [cs.IT]Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations
    Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher, Reiner S. Thomä
    http://arxiv.org/abs/2111.11839v1

    • [cs.IT]Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution
    Luca Barletta, Alex Dytso
    http://arxiv.org/abs/2111.11442v1

    • [cs.IT]Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
    Fatemeh Lotfi, Omid Semiari, Walid Saad
    http://arxiv.org/abs/2111.12064v1

    • [cs.LG]A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence
    Taketo Akama
    http://arxiv.org/abs/2111.11703v1

    • [cs.LG]Adaptive Multi-Goal Exploration
    Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
    http://arxiv.org/abs/2111.12045v1

    • [cs.LG]Adversarial machine learning for protecting against online manipulation
    Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi
    http://arxiv.org/abs/2111.12034v1

    • [cs.LG]Anomaly-resistant Graph Neural Networks via Neural Architecture Search
    M. Park
    http://arxiv.org/abs/2111.11406v2

    • [cs.LG]Appliance Level Short-term Load Forecasting via Recurrent Neural Network
    Yuqi Zhou, Arun Sukumaran Nair, David Ganger, Abhinandan Tripathi, Chaitanya Baone, Hao Zhu
    http://arxiv.org/abs/2111.11998v1

    • [cs.LG]Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
    Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
    http://arxiv.org/abs/2111.11581v1

    • [cs.LG]Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
    Yassine Himeur, Aya Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos
    http://arxiv.org/abs/2111.11509v1

    • [cs.LG]Bootstrap Your Flow
    Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato
    http://arxiv.org/abs/2111.11510v1

    • [cs.LG]Building Goal-Oriented Dialogue Systems with Situated Visual Context
    Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Shuyang Gao, Tagyoung Chung
    http://arxiv.org/abs/2111.11576v1

    • [cs.LG]CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
    Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han
    http://arxiv.org/abs/2111.11652v1

    • [cs.LG]Component Transfer Learning for Deep RL Based on Abstract Representations
    Geoffrey van Driessel, Vincent Francois-Lavet
    http://arxiv.org/abs/2111.11525v1

    • [cs.LG]Composing Partial Differential Equations with Physics-Aware Neural Networks
    Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
    http://arxiv.org/abs/2111.11798v1

    • [cs.LG]DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
    Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman
    http://arxiv.org/abs/2111.12062v1

    • [cs.LG]Deep learning-based fast solver of the shallow water equations
    Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve
    http://arxiv.org/abs/2111.11702v1

    • [cs.LG]Depth induces scale-averaging in overparameterized linear Bayesian neural networks
    Jacob A. Zavatone-Veth, Cengiz Pehlevan
    http://arxiv.org/abs/2111.11954v1

    • [cs.LG]Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR
    Dheeraj Baby, Hilaf Hasson, Yuyang Wang
    http://arxiv.org/abs/2111.11550v1

    • [cs.LG]End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
    Sideshwar J B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan
    http://arxiv.org/abs/2111.11789v1

    • [cs.LG]FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
    Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik
    http://arxiv.org/abs/2111.11556v1

    • [cs.LG]Forget-SVGD: Particle-Based Bayesian Federated Unlearning
    Jinu Gong, Osvaldo Simeone, Rahif Kassab, Joonhyuk Kang
    http://arxiv.org/abs/2111.12056v1

    • [cs.LG]Generalized Decision Transformer for Offline Hindsight Information Matching
    Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu
    http://arxiv.org/abs/2111.10364v2

    • [cs.LG]Generating GPU Compiler Heuristics using Reinforcement Learning
    Ian Colbert, Jake Daly, Norm Rubin
    http://arxiv.org/abs/2111.12055v1

    • [cs.LG]Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification
    Siddhant Doshi, Sundeep Prabhakar Chepuri
    http://arxiv.org/abs/2111.11482v1

    • [cs.LG]HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance
    Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
    http://arxiv.org/abs/2111.11986v1

    • [cs.LG]Identifying the Units of Measurement in Tabular Data
    Taha Ceritli, Christopher K. I. Williams
    http://arxiv.org/abs/2111.11959v1

    • [cs.LG]Learnable Structural Semantic Readout for Graph Classification
    Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
    http://arxiv.org/abs/2111.11523v1

    • [cs.LG]Learning Symbolic Rules for Reasoning in Quasi-Natural Language
    Kaiyu Yang, Jia Deng
    http://arxiv.org/abs/2111.12038v1

    • [cs.LG]Link Analysis meets Ontologies: Are Embeddings the Answer?
    Sebastian Mežnar, Matej Bevec, Nada Lavrač, Blaž Škrlj
    http://arxiv.org/abs/2111.11710v1

    • [cs.LG]Local Permutation Equivariance For Graph Neural Networks
    Joshua Mitton, Roderick Murray-Smith
    http://arxiv.org/abs/2111.11840v1

    • [cs.LG]Lossless Compression with Probabilistic Circuits
    Anji Liu, Stephan Mandt, Guy Van den Broeck
    http://arxiv.org/abs/2111.11632v1

    • [cs.LG]Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
    Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
    http://arxiv.org/abs/2111.12071v1

    • [cs.LG]Multi-task manifold learning for small sample size datasets
    Hideaki Ishibashi, Kazushi Higac, Tetsuo Furukawa
    http://arxiv.org/abs/2111.11655v1

    • [cs.LG]Network In Graph Neural Network
    Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf
    http://arxiv.org/abs/2111.11638v1

    • [cs.LG]On Data-centric Myths
    Antonia Marcu, Adam Prügel-Bennett
    http://arxiv.org/abs/2111.11514v1

    • [cs.LG]Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19
    Quazi Adibur Rahman Adib, Sidratul Tanzila Tasmi, Md. Shahriar Islam Bhuiyan, Md. Mohsin Sarker Raihan, Abdullah Bin Shams
    http://arxiv.org/abs/2111.11477v1

    • [cs.LG]Reviewing continual learning from the perspective of human-level intelligence
    Yifan Chang, Wenbo Li, Jian Peng, Bo Tang, Yu Kang, Yinjie Lei, Yuanmiao Gui, Qing Zhu, Yu Liu, Haifeng Li
    http://arxiv.org/abs/2111.11964v1

    • [cs.LG]Sample Efficient Imitation Learning via Reward Function Trained in Advance
    Lihua Zhang
    http://arxiv.org/abs/2111.11711v1

    • [cs.LG]Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations
    Yuqi Zhou, Jeehyun Park, Hao Zhu
    http://arxiv.org/abs/2111.11980v1

    • [cs.LG]Schedule Based Temporal Difference Algorithms
    Rohan Deb, Meet Gandhi, Shalabh Bhatnagar
    http://arxiv.org/abs/2111.11768v1

    • [cs.LG]Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning
    Zhenhuan Yang, Yunwen Lei, Puyu Wang, Tianbao Yang, Yiming Ying
    http://arxiv.org/abs/2111.12050v1

    • [cs.LG]Uncertainty estimation under model misspecification in neural network regression
    Maria R. Cervera, Rafael Dätwyler, Francesco D’Angelo, Hamza Keurti, Benjamin F. Grewe, Christian Henning
    http://arxiv.org/abs/2111.11763v1

    • [cs.LG]Understanding the Impact of Data Distribution on Q-learning with Function Approximation
    Pedro P. Santos, Francisco S. Melo, Alberto Sardinha, Diogo S. Carvalho
    http://arxiv.org/abs/2111.11758v1

    • [cs.LG]Variance Reduction in Deep Learning: More Momentum is All You Need
    Lionel Tondji, Sergii Kashubin, Moustapha Cisse
    http://arxiv.org/abs/2111.11828v1

    • [cs.LG]Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
    Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve
    http://arxiv.org/abs/2111.11719v1

    • [cs.LG]ptype-cat: Inferring the Type and Values of Categorical Variables
    Taha Ceritli, Christopher K. I. Williams
    http://arxiv.org/abs/2111.11956v1

    • [cs.MM]An End-to-End Framework for Dynamic Crime Profiling of Places
    Shailendra Kumar Gupta, Shreyanshu Shekhar, Neeraj Goel, Mukesh Saini
    http://arxiv.org/abs/2111.10549v1

    • [cs.NE]Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing
    M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
    http://arxiv.org/abs/2111.11838v1

    • [cs.NI]pmSensing: A Participatory Sensing Network for Predictive Monitoring of Particulate Matter
    Lucas L. S. Sachetti, Enzo B. Cussuol, José Marcos S. Nogueira, Vinicius F. S. Mota
    http://arxiv.org/abs/2111.11441v1

    • [cs.OS]KML: Using Machine Learning to Improve Storage Systems
    Ibrahim Umit Akgun, Ali Selman Aydin, Aadil Shaikh, Lukas Velikov, Andrew Burford, Michael McNeill, Michael Arkhangelskiy, Erez Zadok
    http://arxiv.org/abs/2111.11554v1

    • [cs.RO]Integrating Imitation Learning with Human Driving Data into Reinforcement Learning to Improve Training Efficiency for Autonomous Driving
    Heidi Lu
    http://arxiv.org/abs/2111.11673v1

    • [cs.RO]Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
    Xinyu Zhou
    http://arxiv.org/abs/2111.11236v2

    • [cs.RO]Tenodesis Grasp Emulator: Kinematic Assessment of Wrist-Driven Orthotic Control
    Erin Y. Chang, Raghid Mardini, Andrew I. W. McPherson, Yuri Gloumakov, Hannah S. Stuart
    http://arxiv.org/abs/2111.11524v1

    • [cs.RO]UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
    Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram
    http://arxiv.org/abs/2111.11097v2

    • [cs.RO]VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
    Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
    http://arxiv.org/abs/2111.12083v1

    • [cs.SD]Guided-TTS:Text-to-Speech with Untranscribed Speech
    Heeseung Kim, Sungwon Kim, Sungroh Yoon
    http://arxiv.org/abs/2111.11755v1

    • [cs.SD]Music Classification: Beyond Supervised Learning, Towards Real-world Applications
    Minz Won, Janne Spijkervet, Keunwoo Choi
    http://arxiv.org/abs/2111.11636v1

    • [cs.SD]Upsampling layers for music source separation
    Jordi Pons, Joan Serrà, Santiago Pascual, Giulio Cengarle, Daniel Arteaga, Davide Scaini
    http://arxiv.org/abs/2111.11773v1

    • [cs.SI]A Modular Framework for Centrality and Clustering in Complex Networks
    Frederique Oggier, Silivanxay Phetsouvanh, Anwitaman Datta
    http://arxiv.org/abs/2111.11623v1

    • [cs.SI]Consensus formation on heterogeneous networks
    Edoardo Fadda, Junda He, Claudio Tessone, Paolo Barucca
    http://arxiv.org/abs/2111.11949v1

    • [cs.SI]Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective
    Chahat Raj, Priyanka Meel
    http://arxiv.org/abs/2111.11982v1

    • [cs.SI]Local assortativity affects the synchronizability of scale-free network
    Mengbang Zou, Weisi Guo
    http://arxiv.org/abs/2111.12017v1

    • [cs.SI]Network Effects Research: A Systematic Review of Theoretical Mechanisms and Measures
    Alejandra Medina, Michael D. Siciliano, Weijie Wang, Qian Hu
    http://arxiv.org/abs/2111.12081v1

    • [cs.SI]People Lie, Actions Don’t! Modeling Infodemic Proliferation Predictors among Social Media Users
    Chahat Raj, Priyanka Meel
    http://arxiv.org/abs/2111.11955v1

    • [cs.SI]Social Graph Restoration via Random Walk Sampling
    Kazuki Nakajima, Kazuyuki Shudo
    http://arxiv.org/abs/2111.11966v1

    • [eess.AS]SpeechMoE2: Mixture-of-Experts Model with Improved Routing
    Zhao You, Shulin Feng, Dan Su, Dong Yu
    http://arxiv.org/abs/2111.11831v1

    • [eess.IV]Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images
    Constance Fourcadea, Ludovic Ferrer, Noemie Moreau, Gianmarco Santini, Aishlinn Brennan, Caroline Rousseau, Marie Lacombe, Vincent Fleury, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Diana Mateus
    http://arxiv.org/abs/2111.11873v1

    • [eess.IV]Extending the Unmixing methods to Multispectral Images
    Jizhen Cai, Hermine Chatoux, Clotilde Boust, Alamin Mansouri
    http://arxiv.org/abs/2111.11893v1

    • [eess.IV]Is Deep Image Prior in Need of a Good Education?
    Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
    http://arxiv.org/abs/2111.11926v1

    • [eess.IV]Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning
    Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn
    http://arxiv.org/abs/2111.11439v1

    • [eess.IV]RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
    Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
    http://arxiv.org/abs/2111.11665v1

    • [eess.IV]The RETA Benchmark for Retinal Vascular Tree Analysis
    Xingzheng Lyu, Li Cheng, Sanyuan Zhang
    http://arxiv.org/abs/2111.11658v1

    • [eess.IV]Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
    Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang
    http://arxiv.org/abs/2111.11602v1

    • [eess.SP]Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
    Gargya Gokhale, Bert Claessens, Bert Claessens
    http://arxiv.org/abs/2111.12066v1

    • [eess.SY]Robust Control of Nanoscale Drug Delivery System in Atherosclerosis: A Mathematical Approach
    Alireza Rowhanimanesh, Mohammad-R Akbarzadeh-T
    http://arxiv.org/abs/2111.11499v1

    • [eess.SY]Universal Swarm Computing by Nanorobots
    Alireza Rowhanimanesh, Mohammad-R Akbarzadeh-T
    http://arxiv.org/abs/2111.11503v1

    • [math.ST]MARS via LASSO
    Dohyeong Ki, Billy Fang, Adityanand Guntuboyina
    http://arxiv.org/abs/2111.11694v1

    • [math.ST]Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
    Iain Henderson, Pascal Noble, Olivier Roustant
    http://arxiv.org/abs/2111.12035v1

    • [math.ST]Tree density estimation
    László Györfi, Aryeh Kontorovich, Roi Weiss
    http://arxiv.org/abs/2111.11971v1

    • [math.ST]Trimming Stability Selection increases variable selection robustness
    Tino Werner
    http://arxiv.org/abs/2111.11818v1

    • [stat.AP]Bayesian Robust Learning in Chain Graph Models for Integrative Pharmacogenomics
    Moumita Chakraborty, Veerabhadran Baladandayuthapani, Anindya Bhadra, Min Jin Ha
    http://arxiv.org/abs/2111.11529v1

    • [stat.AP]Measurement That Matches Theory: Theory-Driven Identification in IRT Models
    Marco Morucci, Margaret Foster, Kaitlyn Webster, So Jin Lee, David Siegel
    http://arxiv.org/abs/2111.11979v1

    • [stat.ME]Approximate Bayesian Computation via Classification
    Yuexi Wang, Tetsuya Kaji, Veronika Ročková
    http://arxiv.org/abs/2111.11507v1

    • [stat.ME]Combining chains of Bayesian models with Markov melding
    Andrew A. Manderson, Robert J. B. Goudie
    http://arxiv.org/abs/2111.11566v1

    • [stat.ME]Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates
    Trinetri Ghosh, Yanyuan Ma, Rui Song, Pingshou Zhong
    http://arxiv.org/abs/2111.10425v1

    • [stat.ME]Identification of vaccine effects when exposure status is unknown
    Mats J. Stensrud, Louisa H. Smith
    http://arxiv.org/abs/2111.11548v1

    • [stat.ME]Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width
    Andrey Akinshin
    http://arxiv.org/abs/2111.11776v1

    • [stat.ML]A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning
    Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
    http://arxiv.org/abs/2111.11485v1

    • [stat.ML]Bayesian Learning via Neural Schrödinger-Föllmer Flows
    Francisco Vargas, Andrius Ovsianas, David Fernandes, Mark Girolami, Neil Lawrence, Nikolas Nüsken
    http://arxiv.org/abs/2111.10510v2

    • [stat.ML]Depth Without the Magic: Inductive Bias of Natural Gradient Descent
    Anna Kerekes, Anna Mészáros, Ferenc Huszár
    http://arxiv.org/abs/2111.11542v1

    • [stat.ML]Is Shapley Explanation for a model unique?
    Harsh Kumar, Jithu Chandran
    http://arxiv.org/abs/2111.11946v1

    • [stat.ML]Isolation forests: looking beyond tree depth
    David Cortes
    http://arxiv.org/abs/2111.11639v1

    • [stat.ML]RIO: Rotation-equivariance supervised learning of robust inertial odometry
    Caifa Zhou, Xiya Cao, Dandan Zeng, Yongliang Wang
    http://arxiv.org/abs/2111.11676v1