astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.GR - 计算机图形学
    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.MA - 多代理系统
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.ST - 统计理论
    physics.flu-dyn - 流体动力学
    q-bio.GN - 基因组学
    q-bio.QM - 定量方法
    q-fin.ST - 统计金融学
    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
    stat.OT - 其他统计学

    • [astro-ph.IM]Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
    • [cs.AI]A Graph-based Imputation Method for Sparse Medical Records
    • [cs.AI]Acquisition of Chess Knowledge in AlphaZero
    • [cs.AI]Compressive Features in Offline Reinforcement Learning for Recommender Systems
    • [cs.AI]Exploring Student Representation For Neural Cognitive Diagnosis
    • [cs.AI]Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
    • [cs.AI]The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions
    • [cs.AR]GNN-DSE: Automated Accelerator Optimization Aided by Graph Neural Networks
    • [cs.CL]Achieving Human Parity on Visual Question Answering
    • [cs.CL]Character Transformations for Non-Autoregressive GEC Tagging
    • [cs.CL]DataCLUE: A Benchmark Suite for Data-centric NLP
    • [cs.CL]Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
    • [cs.CL]Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
    • [cs.CL]Multi-Attribute Relation Extraction (MARE) — Simplifying the Application of Relation Extraction
    • [cs.CL]Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
    • [cs.CL]Transparent Human Evaluation for Image Captioning
    • [cs.CL]User Response and Sentiment Prediction for Automatic Dialogue Evaluation
    • [cs.CL]Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
    • [cs.CL]Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
    • [cs.CL]XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
    • [cs.CV]2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track
    • [cs.CV]A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
    • [cs.CV]ARKitScenes — A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
    • [cs.CV]Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
    • [cs.CV]Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
    • [cs.CV]Compositional Transformers for Scene Generation
    • [cs.CV]Computer Vision for Supporting Image Search
    • [cs.CV]Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
    • [cs.CV]DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus
    • [cs.CV]Detecting AutoAttack Perturbations in the Frequency Domain
    • [cs.CV]Discriminative Dictionary Learning based on Statistical Methods
    • [cs.CV]DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
    • [cs.CV]EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
    • [cs.CV]Enhanced Correlation Matching based Video Frame Interpolation
    • [cs.CV]Facial Information Analysis Technology for Gender and Age Estimation
    • [cs.CV]Fight Detection from Still Images in the Wild
    • [cs.CV]Film Trailer Generation via Task Decomposition
    • [cs.CV]Generating Unrestricted 3D Adversarial Point Clouds
    • [cs.CV]HARA: A Hierarchical Approach for Robust Rotation Averaging
    • [cs.CV]Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
    • [cs.CV]Improving Person Re-Identification with Temporal Constraints
    • [cs.CV]Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
    • [cs.CV]IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
    • [cs.CV]It’s About Time: Analog Clock Reading in the Wild
    • [cs.CV]Learning Scene Dynamics from Point Cloud Sequences
    • [cs.CV]Learning to Align Sequential Actions in the Wild
    • [cs.CV]Learning to Compose Visual Relations
    • [cs.CV]Local Texture Estimator for Implicit Representation Function
    • [cs.CV]Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
    • [cs.CV]Motion Detection using CSI from Raspberry Pi 4
    • [cs.CV]Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
    • [cs.CV]Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
    • [cs.CV]Pedestrian Detection by Exemplar-Guided Contrastive Learning
    • [cs.CV]Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
    • [cs.CV]Protection of SVM Model with Secret Key from Unauthorized Access
    • [cs.CV]Quality Measures in Biometric Systems
    • [cs.CV]Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
    • [cs.CV]SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
    • [cs.CV]STEEX: Steering Counterfactual Explanations with Semantics
    • [cs.CV]SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
    • [cs.CV]Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
    • [cs.CV]Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
    • [cs.CV]TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
    • [cs.CV]The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
    • [cs.CV]TorchGeo: deep learning with geospatial data
    • [cs.CV]TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
    • [cs.CV]Two-Face: Adversarial Audit of Commercial Face Recognition Systems
    • [cs.CV]Using Convolutional Neural Networks to Detect Compression Algorithms
    • [cs.CY]Measuring Geometric Similarity Across Possible Plans for Automated Redistricting
    • [cs.CY]PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
    • [cs.DB]GAP Enhancing Semantic Interoperability of Genomic Datasets and Provenance Through Nanopublications
    • [cs.DC]Accelerating JPEG Decompression on GPUs
    • [cs.DC]An energy-efficient scheduling algorithm for shared facility supercomputer centers
    • [cs.DC]On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
    • [cs.DC]Project CGX: Scalable Deep Learning on Commodity GPUs
    • [cs.GR]LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
    • [cs.GT]Preference Communication in Multi-Objective Normal-Form Games
    • [cs.IR]NLP based grievance redressal system for Indian Railways
    • [cs.IT]Achievable Rate of Near-Field Communications Based on Physically Consistent Models
    • [cs.IT]Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping
    • [cs.IT]Channel Modeling for Multi-Receiver Molecular Communication Systems
    • [cs.IT]Error Coefficient-improved Polar/PAC Codes
    • [cs.IT]Private Information Schemes Using Cyclic Codes
    • [cs.IT]Six Critical Challenges for 6G Wireless Systems
    • [cs.LG]A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
    • [cs.LG]A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
    • [cs.LG]Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
    • [cs.LG]Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
    • [cs.LG]Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
    • [cs.LG]CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
    • [cs.LG]Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
    • [cs.LG]Differentially Private Federated Learning on Heterogeneous Data
    • [cs.LG]Do Not Trust Prediction Scores for Membership Inference Attacks
    • [cs.LG]Exploring Unsupervised Learning Methods for Automated Protocol Analysis
    • [cs.LG]FAIRLEARN:Configurable and Interpretable Algorithmic Fairness
    • [cs.LG]Fairness Testing of Deep Image Classification with Adequacy Metrics
    • [cs.LG]Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
    • [cs.LG]Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
    • [cs.LG]Fast Yet Effective Machine Unlearning
    • [cs.LG]Federated Learning for Smart Healthcare: A Survey
    • [cs.LG]Forecasting Crude Oil Price Using Event Extraction
    • [cs.LG]GFlowNet Foundations
    • [cs.LG]GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
    • [cs.LG]HiRID-ICU-Benchmark — A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
    • [cs.LG]IV-GNN : Interval Valued Data Handling Using Graph Neural Network
    • [cs.LG]Interpretable Models via Pairwise permutations algorithm
    • [cs.LG]Investigating Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Latent Space Manipulation
    • [cs.LG]Label efficient two-sample test
    • [cs.LG]Network Generation with Differential Privacy
    • [cs.LG]ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\
    • [cs.LG]Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
    • [cs.LG]Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification
    • [cs.LG]PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
    • [cs.LG]Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
    • [cs.LG]SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
    • [cs.LG]SMACE: A New Method for the Interpretability of Composite Decision Systems
    • [cs.LG]Secure Federated Learning for Residential Short Term Load Forecasting
    • [cs.LG]Self-Learning Tuning for Post-Silicon Validation
    • [cs.LG]Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
    • [cs.LG]SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
    • [cs.LG]Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
    • [cs.LG]Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
    • [cs.LG]Trustworthy Long-Tailed Classification
    • [cs.LG]Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
    • [cs.LG]Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
    • [cs.MA]Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms
    • [cs.NE]A Case Study of Vehicle Route Optimization
    • [cs.NE]A Normative and Biologically Plausible Algorithm for Independent Component Analysis
    • [cs.NE]How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
    • [cs.NI]CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds
    • [cs.NI]Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
    • [cs.RO]Adaptive Lookahead Pure-Pursuit for Autonomous Racing
    • [cs.RO]Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System
    • [cs.RO]Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines
    • [cs.RO]DA-LMR: A Robust Lane Markings Representation for Data Association Methods
    • [cs.RO]IKFlow: Generating Diverse Inverse Kinematics Solutions
    • [cs.RO]Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control
    • [cs.RO]Learning Provably Robust Motion Planners Using Funnel Libraries
    • [cs.RO]Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning
    • [cs.RO]Obstacle Crossing by Multi-mobile Robots in Object Transportation with Deformable Sheet
    • [cs.RO]On the modification of the SPARUS II AUV for close range imaging survey platform
    • [cs.RO]Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming
    • [cs.RO]Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data
    • [cs.RO]The Unified Mathematical Framework for IMU Preintegration in Inertial-Aided Navigation System
    • [cs.RO]Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
    • [cs.RO]Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera
    • [cs.SD]Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
    • [cs.SD]High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
    • [cs.SD]Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
    • [cs.SD]Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson’s Speech Data
    • [cs.SI]Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery
    • [cs.SI]Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic
    • [eess.IV]Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
    • [eess.IV]Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study
    • [eess.IV]CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
    • [eess.IV]End-to-end optimized image compression with competition of prior distributions
    • [eess.IV]Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation
    • [eess.IV]Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
    • [eess.IV]Image Super-Resolution Using T-Tetromino Pixels
    • [eess.IV]Segmentation of Lung Tumor from CT Images using Deep Supervision
    • [eess.IV]Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
    • [eess.IV]Two-step adversarial debiasing with partial learning — medical image case-studies
    • [eess.SP]A Generalized Proportionate-Type Normalized Subband Adaptive Filter
    • [math.ST]On Adaptive Confidence Sets for the Wasserstein Distances
    • [physics.flu-dyn]Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
    • [q-bio.GN]Interpreting multi-variate models with setPCA
    • [q-bio.QM]Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
    • [q-fin.ST]Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
    • [quant-ph]Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
    • [stat.AP]Identifying the Factors that Influence Urban Public Transit Demand
    • [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets
    • [stat.AP]Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation
    • [stat.AP]Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data
    • [stat.AP]Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach
    • [stat.AP]The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018
    • [stat.ME]A Note on Simulation-Based Inference by Matching Random Features
    • [stat.ME]Jump Interval-Learning for Individualized Decision Making
    • [stat.ME]Non-parametric Bayesian Vector Autoregression using Multi-subject Data
    • [stat.ME]Practical Guidance on Modeling Choices for the Virtual Twins Method
    • [stat.ME]Some Case Studies Using Bayesian Statistical Models
    • [stat.ME]Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
    • [stat.ML]Distribution Compression in Near-linear Time
    • [stat.ML]Max-Min Grouped Bandits
    • [stat.ML]Online Estimation and Optimization of Utility-Based Shortfall Risk
    • [stat.ML]Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
    • [stat.ML]Three approaches to supervised learning for compositional data with pairwise logratios
    • [stat.OT]A revision to the theory of organic fiducial inference

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

    • [astro-ph.IM]Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
    Rune D. Kjærsgaard, Aaron Bello-Arufe, Alexander D. Rathcke, Lars A. Buchhave, Line K. H. Clemmensen
    http://arxiv.org/abs/2111.09081v1

    • [cs.AI]A Graph-based Imputation Method for Sparse Medical Records
    Ramon Vinas, Xu Zheng, Jer Hayes
    http://arxiv.org/abs/2111.09084v1

    • [cs.AI]Acquisition of Chess Knowledge in AlphaZero
    Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
    http://arxiv.org/abs/2111.09259v1

    • [cs.AI]Compressive Features in Offline Reinforcement Learning for Recommender Systems
    Hung Nguyen, Minh Nguyen, Long Pham, Jennifer Adorno Nieves
    http://arxiv.org/abs/2111.08817v1

    • [cs.AI]Exploring Student Representation For Neural Cognitive Diagnosis
    Hengyao Bao, Xihua Li, Xuemin Zhao, Yunbo Cao
    http://arxiv.org/abs/2111.08951v1

    • [cs.AI]Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
    Yulan Hu, Yong Liu
    http://arxiv.org/abs/2111.09078v1

    • [cs.AI]The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions
    Steve Alpern
    http://arxiv.org/abs/2111.09093v1

    • [cs.AR]GNN-DSE: Automated Accelerator Optimization Aided by Graph Neural Networks
    Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
    http://arxiv.org/abs/2111.08848v1

    • [cs.CL]Achieving Human Parity on Visual Question Answering
    Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Luo Si
    http://arxiv.org/abs/2111.08896v1

    • [cs.CL]Character Transformations for Non-Autoregressive GEC Tagging
    Milan Straka, Jakub Náplava, Jana Straková
    http://arxiv.org/abs/2111.09280v1

    • [cs.CL]DataCLUE: A Benchmark Suite for Data-centric NLP
    Liang Xu, Jiacheng Liu, Xiang Pan, Xiaojing Lu, Xiaofeng Hou
    http://arxiv.org/abs/2111.08647v2

    • [cs.CL]Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
    Aparajita Dey-Plissonneau, Hyowon Lee, Michael Scriney, Alan F. Smeaton, Vincent Pradier, Hamza Riaz
    http://arxiv.org/abs/2111.08788v1

    • [cs.CL]Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
    Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece
    http://arxiv.org/abs/2111.09064v1

    • [cs.CL]Multi-Attribute Relation Extraction (MARE) — Simplifying the Application of Relation Extraction
    Lars Klöser, Philipp Kohl, Bodo Kraft, Albert Zündorf
    http://arxiv.org/abs/2111.09035v1

    • [cs.CL]Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
    Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida
    http://arxiv.org/abs/2111.09029v1

    • [cs.CL]Transparent Human Evaluation for Image Captioning
    Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
    http://arxiv.org/abs/2111.08940v1

    • [cs.CL]User Response and Sentiment Prediction for Automatic Dialogue Evaluation
    Sarik Ghazarian, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, Dilek Hakkani-Tur
    http://arxiv.org/abs/2111.08808v1

    • [cs.CL]Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
    Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen
    http://arxiv.org/abs/2111.08906v1

    • [cs.CL]Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
    Abhilash Mishra, Yash Gorana
    http://arxiv.org/abs/2111.08723v1

    • [cs.CL]XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
    Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli
    http://arxiv.org/abs/2111.09296v1

    • [cs.CV]2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track
    SeungKee Jeon
    http://arxiv.org/abs/2111.09113v1

    • [cs.CV]A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
    Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr, Yi Lin, Su-hua Wang, Renée Baillargeon, Cheston Tan
    http://arxiv.org/abs/2111.08826v1

    • [cs.CV]ARKitScenes — A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
    Gilad Baruch, Zhuoyuan Chen, Afshin Dehghan, Tal Dimry, Yuri Feigin, Peter Fu, Thomas Gebauer, Brandon Joffe, Daniel Kurz, Arik Schwartz, Elad Shulman
    http://arxiv.org/abs/2111.08897v1

    • [cs.CV]Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
    Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma
    http://arxiv.org/abs/2111.09171v1

    • [cs.CV]Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
    Norman Poh, Thirimachos Bourlai, Josef Kittler, Lorene Allano, Fernando Alonso-Fernandez, Onkar Ambekar, John Baker, Bernadette Dorizzi, Omolara Fatukasi, Julian Fierrez, Harald Ganster, Javier Ortega-Garcia, Donald Maurer, Albert Ali Salah, Tobias Scheidat, Claus Vielhauer
    http://arxiv.org/abs/2111.08703v1

    • [cs.CV]Compositional Transformers for Scene Generation
    Drew A. Hudson, C. Lawrence Zitnick
    http://arxiv.org/abs/2111.08960v1

    • [cs.CV]Computer Vision for Supporting Image Search
    Alan F. Smeaton
    http://arxiv.org/abs/2111.08772v1

    • [cs.CV]Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
    Nir Diamant, Nitsan Sandor, Alex M Bronstein
    http://arxiv.org/abs/2111.08419v2

    • [cs.CV]DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus
    Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt
    http://arxiv.org/abs/2111.08799v1

    • [cs.CV]Detecting AutoAttack Perturbations in the Frequency Domain
    Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
    http://arxiv.org/abs/2111.08785v1

    • [cs.CV]Discriminative Dictionary Learning based on Statistical Methods
    G. Madhuri, Atul Negi
    http://arxiv.org/abs/2111.09027v1

    • [cs.CV]DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
    Zhenxing Zhang, Lambert Schomaker
    http://arxiv.org/abs/2111.09267v1

    • [cs.CV]EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
    Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha
    http://arxiv.org/abs/2111.08919v1

    • [cs.CV]Enhanced Correlation Matching based Video Frame Interpolation
    Sungho Lee, Narae Choi, Woong Il Choi
    http://arxiv.org/abs/2111.08869v1

    • [cs.CV]Facial Information Analysis Technology for Gender and Age Estimation
    Gilheum Park, Sua Jung
    http://arxiv.org/abs/2111.09303v1

    • [cs.CV]Fight Detection from Still Images in the Wild
    Şeymanur Aktı, Ferda Ofli, Muhammad Imran, Hazım Kemal Ekenel
    http://arxiv.org/abs/2111.08370v2

    • [cs.CV]Film Trailer Generation via Task Decomposition
    Pinelopi Papalampidi, Frank Keller, Mirella Lapata
    http://arxiv.org/abs/2111.08774v1

    • [cs.CV]Generating Unrestricted 3D Adversarial Point Clouds
    Xuelong Dai, Yanjie Li, Hua Dai, Bin Xiao
    http://arxiv.org/abs/2111.08973v1

    • [cs.CV]HARA: A Hierarchical Approach for Robust Rotation Averaging
    Seong Hun Lee, Javier Civera
    http://arxiv.org/abs/2111.08831v1

    • [cs.CV]Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
    Xiao Pan, T. Y. Yang
    http://arxiv.org/abs/2111.09117v1

    • [cs.CV]Improving Person Re-Identification with Temporal Constraints
    Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O’Connor, Kevin McGuinness
    http://arxiv.org/abs/2111.09056v1

    • [cs.CV]Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
    Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch
    http://arxiv.org/abs/2111.09276v1

    • [cs.CV]IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
    Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
    http://arxiv.org/abs/2111.09136v1

    • [cs.CV]It’s About Time: Analog Clock Reading in the Wild
    Charig Yang, Weidi Xie, Andrew Zisserman
    http://arxiv.org/abs/2111.09162v1

    • [cs.CV]Learning Scene Dynamics from Point Cloud Sequences
    Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
    http://arxiv.org/abs/2111.08755v1

    • [cs.CV]Learning to Align Sequential Actions in the Wild
    Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
    http://arxiv.org/abs/2111.09301v1

    • [cs.CV]Learning to Compose Visual Relations
    Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba
    http://arxiv.org/abs/2111.09297v1

    • [cs.CV]Local Texture Estimator for Implicit Representation Function
    Jaewon Lee, Kyong Hwan Jin
    http://arxiv.org/abs/2111.08918v1

    • [cs.CV]Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
    Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge
    http://arxiv.org/abs/2111.08913v1

    • [cs.CV]Motion Detection using CSI from Raspberry Pi 4
    Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare
    http://arxiv.org/abs/2111.09091v1

    • [cs.CV]Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
    Xiaoteng Zhou, Changli Yu, Xin Yuan, Yi Wu, Haijun Feng, Citong Luo
    http://arxiv.org/abs/2111.08994v1

    • [cs.CV]Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
    Myssar Jabbar Hammood Al-Battbootti, Iuliana Marin, Nicolae Goga, Ramona Popa
    http://arxiv.org/abs/2111.09155v1

    • [cs.CV]Pedestrian Detection by Exemplar-Guided Contrastive Learning
    Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu
    http://arxiv.org/abs/2111.08974v1

    • [cs.CV]Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
    Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li
    http://arxiv.org/abs/2111.09006v1

    • [cs.CV]Protection of SVM Model with Secret Key from Unauthorized Access
    Ryota Iijima, AprilPyone MaungMaung, Hitoshi Kiya
    http://arxiv.org/abs/2111.08927v1

    • [cs.CV]Quality Measures in Biometric Systems
    Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia
    http://arxiv.org/abs/2111.08704v1

    • [cs.CV]Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
    William McNally, Kanav Vats, Alexander Wong, John McPhee
    http://arxiv.org/abs/2111.08557v2

    • [cs.CV]SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
    Shen Zheng, Changjie Lu, Yuxiong Wu, Gaurav Gupta
    http://arxiv.org/abs/2111.08892v1

    • [cs.CV]STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    http://arxiv.org/abs/2111.09094v1

    • [cs.CV]SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
    Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim
    http://arxiv.org/abs/2111.09298v1

    • [cs.CV]Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
    Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah
    http://arxiv.org/abs/2111.09099v1

    • [cs.CV]Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
    Domenick Poster, Nasser Nasrabadi
    http://arxiv.org/abs/2111.08738v1

    • [cs.CV]TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
    Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez, Cuauhtemoc Daniel Suarez-Ramirez
    http://arxiv.org/abs/2111.08867v1

    • [cs.CV]The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
    Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming NR Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrezj Drygajlo, Harald Ganster, Federico M Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran
    http://arxiv.org/abs/2111.08702v1

    • [cs.CV]TorchGeo: deep learning with geospatial data
    Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
    http://arxiv.org/abs/2111.08872v1

    • [cs.CV]TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
    Delv Lin, Qi Chen, Chengyu Zhou, Kun He
    http://arxiv.org/abs/2111.08954v1

    • [cs.CV]Two-Face: Adversarial Audit of Commercial Face Recognition Systems
    Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee
    http://arxiv.org/abs/2111.09137v1

    • [cs.CV]Using Convolutional Neural Networks to Detect Compression Algorithms
    Shubham Bharadwaj
    http://arxiv.org/abs/2111.09034v1

    • [cs.CY]Measuring Geometric Similarity Across Possible Plans for Automated Redistricting
    Gilvir Gill
    http://arxiv.org/abs/2111.08889v1

    • [cs.CY]PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
    Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan, Jane Suiter
    http://arxiv.org/abs/2111.08791v1

    • [cs.DB]GAP Enhancing Semantic Interoperability of Genomic Datasets and Provenance Through Nanopublications
    Matheus Feijoó, Rodrigo Jardim, Sergio Serra, Maria Luiza Campos
    http://arxiv.org/abs/2111.08739v1

    • [cs.DC]Accelerating JPEG Decompression on GPUs
    André Weißenberger, Bertil Schmidt
    http://arxiv.org/abs/2111.09219v1

    • [cs.DC]An energy-efficient scheduling algorithm for shared facility supercomputer centers
    E. A. Kiselev, P. N. Telegin, B. M. Shabanov
    http://arxiv.org/abs/2111.08978v1

    • [cs.DC]On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
    Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
    http://arxiv.org/abs/2111.08759v1

    • [cs.DC]Project CGX: Scalable Deep Learning on Commodity GPUs
    Ilia Markov, Hamidreza Ramezanikebrya, Dan Alistarh
    http://arxiv.org/abs/2111.08617v2

    • [cs.GR]LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
    Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
    http://arxiv.org/abs/2111.08988v1

    • [cs.GT]Preference Communication in Multi-Objective Normal-Form Games
    Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Rădulescu
    http://arxiv.org/abs/2111.09191v1

    • [cs.IR]NLP based grievance redressal system for Indian Railways
    Mukesh Rawat, Neha Kaushik
    http://arxiv.org/abs/2111.08999v1

    • [cs.IT]Achievable Rate of Near-Field Communications Based on Physically Consistent Models
    Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath
    http://arxiv.org/abs/2111.08928v1

    • [cs.IT]Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping
    Linfang Wang, Dan Song, Felipe Areces, Richard D. Wesel
    http://arxiv.org/abs/2111.08756v1

    • [cs.IT]Channel Modeling for Multi-Receiver Molecular Communication Systems
    Gokberk Yaylali, Bayram Cevdet Akdeniz, Tuna Tugcu, Ali Emre Pusane
    http://arxiv.org/abs/2111.09302v1

    • [cs.IT]Error Coefficient-improved Polar/PAC Codes
    Mohammad Rowshan, Son Hoang Dau, Emanuele Viterbo
    http://arxiv.org/abs/2111.08843v1

    • [cs.IT]Private Information Schemes Using Cyclic Codes
    Seyma Bodur, Edgar Martinez-Moro, Diego Ruano
    http://arxiv.org/abs/2111.09060v1

    • [cs.IT]Six Critical Challenges for 6G Wireless Systems
    Harsh Tataria, Mansoor Shafi, Mischa Dohler, Shu Sun
    http://arxiv.org/abs/2111.08871v1

    • [cs.LG]A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
    Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
    http://arxiv.org/abs/2111.08900v1

    • [cs.LG]A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
    Yusuf Efe
    http://arxiv.org/abs/2111.09038v1

    • [cs.LG]Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
    Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
    http://arxiv.org/abs/2111.08626v1

    • [cs.LG]Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
    Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross
    http://arxiv.org/abs/2111.09159v1

    • [cs.LG]Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
    Erik Vargo, Alex Tien, Arian Jafari
    http://arxiv.org/abs/2111.09139v1

    • [cs.LG]CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
    Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga
    http://arxiv.org/abs/2111.08819v1

    • [cs.LG]Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
    Xintong Shi, Wenzhi Cao, Sebastian Raschka
    http://arxiv.org/abs/2111.08851v1

    • [cs.LG]Differentially Private Federated Learning on Heterogeneous Data
    Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut
    http://arxiv.org/abs/2111.09278v1

    • [cs.LG]Do Not Trust Prediction Scores for Membership Inference Attacks
    Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
    http://arxiv.org/abs/2111.09076v1

    • [cs.LG]Exploring Unsupervised Learning Methods for Automated Protocol Analysis
    Arijit Dasgupta, Yi-Xue Yan, Clarence Ong, Jenn-Yue Teo, Chia-Wei Lim
    http://arxiv.org/abs/2111.09061v1

    • [cs.LG]FAIRLEARN:Configurable and Interpretable Algorithmic Fairness
    Ankit Kulshrestha, Ilya Safro
    http://arxiv.org/abs/2111.08878v1

    • [cs.LG]Fairness Testing of Deep Image Classification with Adequacy Metrics
    Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang
    http://arxiv.org/abs/2111.08856v1

    • [cs.LG]Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
    James Ferlez, Haitham Khedr, Yasser Shoukry
    http://arxiv.org/abs/2111.09293v1

    • [cs.LG]Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
    Constantinos Daskalakis, Noah Golowich
    http://arxiv.org/abs/2111.08911v1

    • [cs.LG]Fast Yet Effective Machine Unlearning
    Ayush K Tarun, Vikram S Chundawat, Murari Mandal, Mohan Kankanhalli
    http://arxiv.org/abs/2111.08947v1

    • [cs.LG]Federated Learning for Smart Healthcare: A Survey
    Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
    http://arxiv.org/abs/2111.08834v1

    • [cs.LG]Forecasting Crude Oil Price Using Event Extraction
    Jiangwei Liu, Xiaohong Huang
    http://arxiv.org/abs/2111.09111v1

    • [cs.LG]GFlowNet Foundations
    Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
    http://arxiv.org/abs/2111.09266v1

    • [cs.LG]GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
    Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm
    http://arxiv.org/abs/2111.08874v1

    • [cs.LG]HiRID-ICU-Benchmark — A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
    Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
    http://arxiv.org/abs/2111.08536v2

    • [cs.LG]IV-GNN : Interval Valued Data Handling Using Graph Neural Network
    Sucheta Dawn, Sanghamitra Bandyopadhyay
    http://arxiv.org/abs/2111.09194v1

    • [cs.LG]Interpretable Models via Pairwise permutations algorithm
    Troy Maaslandand, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin
    http://arxiv.org/abs/2111.09145v1

    • [cs.LG]Investigating Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Latent Space Manipulation
    Deniz Sezin Ayvaz, Inci M. Baytas
    http://arxiv.org/abs/2111.08794v1

    • [cs.LG]Label efficient two-sample test
    Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
    http://arxiv.org/abs/2111.08861v1

    • [cs.LG]Network Generation with Differential Privacy
    Xu Zheng, Nicholas McCarthy, Jer Hayes
    http://arxiv.org/abs/2111.09085v1

    • [cs.LG]ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
    Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
    http://arxiv.org/abs/2111.09043v1

    • [cs.LG]Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
    Max Würfel, Qiwei Han, Maximilian Kaiser
    http://arxiv.org/abs/2111.08840v1

    • [cs.LG]Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification
    David Cemernek
    http://arxiv.org/abs/2111.09127v1

    • [cs.LG]PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
    André Ofner, Sebastian Stober
    http://arxiv.org/abs/2111.08792v1

    • [cs.LG]Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
    Ruiqi Mao, Rongxin Cui
    http://arxiv.org/abs/2111.08888v1

    • [cs.LG]SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
    Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
    http://arxiv.org/abs/2111.08857v1

    • [cs.LG]SMACE: A New Method for the Interpretability of Composite Decision Systems
    Gianluigi Lopardo, Damien Garreau, Frederic Precioso, Greger Ottosson
    http://arxiv.org/abs/2111.08749v1

    • [cs.LG]Secure Federated Learning for Residential Short Term Load Forecasting
    Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee, Gilbert Fridgen
    http://arxiv.org/abs/2111.09248v1

    • [cs.LG]Self-Learning Tuning for Post-Silicon Validation
    Peter Domanski, Dirk Plüger, Jochen Rivoir, Raphaël Latty
    http://arxiv.org/abs/2111.08995v1

    • [cs.LG]Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
    Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
    http://arxiv.org/abs/2111.09128v1

    • [cs.LG]SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
    Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin
    http://arxiv.org/abs/2111.09277v1

    • [cs.LG]Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
    Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhad
    http://arxiv.org/abs/2111.09074v1

    • [cs.LG]Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
    Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
    http://arxiv.org/abs/2111.08922v1

    • [cs.LG]Trustworthy Long-Tailed Classification
    Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
    http://arxiv.org/abs/2111.09030v1

    • [cs.LG]Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
    Jonas Schulz, Rafael Poyiadzi, Raul Santos-Rodriguez
    http://arxiv.org/abs/2111.09121v1

    • [cs.LG]Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
    Rui Hu, Jitao Sang, Jinqiang Wang, Rui Hu, Chaoquan Jiang
    http://arxiv.org/abs/2111.09190v1

    • [cs.MA]Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms
    Z. Husain, A. Al Zaabi, H. Hildmann, F. Saffre, D. Ruta, A. F. Isakovic
    http://arxiv.org/abs/2111.08882v1

    • [cs.NE]A Case Study of Vehicle Route Optimization
    Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer
    http://arxiv.org/abs/2111.09087v1

    • [cs.NE]A Normative and Biologically Plausible Algorithm for Independent Component Analysis
    Yanis Bahroun, Dmitri B Chklovskii, Anirvan M Sengupta
    http://arxiv.org/abs/2111.08858v1

    • [cs.NE]How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
    Shivam Garg, Santosh S. Vempala
    http://arxiv.org/abs/2111.08706v1

    • [cs.NI]CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds
    TianZhang He, Adel N Toosi, Rajkumar Buyya
    http://arxiv.org/abs/2111.08942v1

    • [cs.NI]Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
    TianZhang He, Adel N Toosi, Rajkumar Buyya
    http://arxiv.org/abs/2111.08936v1

    • [cs.RO]Adaptive Lookahead Pure-Pursuit for Autonomous Racing
    Varundev Sukhil, Madhur Behl
    http://arxiv.org/abs/2111.08873v1

    • [cs.RO]Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System
    Kanishk ., Rushil Kumar, Vikas Rastogi, Ajeet Kumar
    http://arxiv.org/abs/2111.08389v2

    • [cs.RO]Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines
    Si Wei Feng, Jingjin Yu
    http://arxiv.org/abs/2111.09151v1

    • [cs.RO]DA-LMR: A Robust Lane Markings Representation for Data Association Methods
    Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller
    http://arxiv.org/abs/2111.09230v1

    • [cs.RO]IKFlow: Generating Diverse Inverse Kinematics Solutions
    Barrett Ames, Jeremy Morgan, George Konidaris
    http://arxiv.org/abs/2111.08933v1

    • [cs.RO]Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control
    Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
    http://arxiv.org/abs/2111.08748v1

    • [cs.RO]Learning Provably Robust Motion Planners Using Funnel Libraries
    Ali Ekin Gurgen, Anirudha Majumdar, Sushant Veer
    http://arxiv.org/abs/2111.08733v1

    • [cs.RO]Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning
    Yanyi Chen, Zhiqing Zhong, Shangsheng Wen, Weipeng Guan
    http://arxiv.org/abs/2111.09050v1

    • [cs.RO]Obstacle Crossing by Multi-mobile Robots in Object Transportation with Deformable Sheet
    Jiawei Hu, Wenhang Liu, Heng Zhang, Zhenhua Xiong
    http://arxiv.org/abs/2111.09046v1

    • [cs.RO]On the modification of the SPARUS II AUV for close range imaging survey platform
    Yevgeni Gutnik, Aviad Avni, Tali Treibitz, Morel Groper
    http://arxiv.org/abs/2111.08971v1

    • [cs.RO]Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming
    Kyle Stachowicz, Evangelos A. Theodorou
    http://arxiv.org/abs/2111.09207v1

    • [cs.RO]Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data
    Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
    http://arxiv.org/abs/2111.08761v1

    • [cs.RO]The Unified Mathematical Framework for IMU Preintegration in Inertial-Aided Navigation System
    Yarong Luo, Yang liu, Chi Guo, Jingnan Liu
    http://arxiv.org/abs/2111.09100v1

    • [cs.RO]Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
    Feng Xue, Anlong Ming, Yu Zhou
    http://arxiv.org/abs/2111.09204v1

    • [cs.RO]Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera
    Jasper Tan, Arijit Dasgupta, Arjun Agrawal, Sutthiphong Srigrarom
    http://arxiv.org/abs/2111.09083v1

    • [cs.SD]Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
    Georgia Maniati, Nikolaos Ellinas, Konstantinos Markopoulos, Georgios Vamvoukakis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis
    http://arxiv.org/abs/2111.09075v1

    • [cs.SD]High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
    Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos, Aimilios Chalamandaris, Georgia Maniati, Panos Kakoulidis, Spyros Raptis, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis
    http://arxiv.org/abs/2111.09052v1

    • [cs.SD]Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
    Konstantinos Markopoulos, Nikolaos Ellinas, Alexandra Vioni, Myrsini Christidou, Panos Kakoulidis, Georgios Vamvoukakis, Georgia Maniati, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis, Aimilios Chalamandaris
    http://arxiv.org/abs/2111.09146v1

    • [cs.SD]Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson’s Speech Data
    Yiwen Wang, Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li
    http://arxiv.org/abs/2111.09014v1

    • [cs.SI]Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery
    Meng Li, Chengyuan Han, Yuanxiang Jiang, Zengru Di
    http://arxiv.org/abs/2111.08092v2

    • [cs.SI]Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic
    Nosin Ibna Mahbub, Md Rakibul Islam, Md Al Amin, Md Khairul Islam, Bikash Chandra Singh, Md Imran Hossain Showrov, Anirudda Sarkar
    http://arxiv.org/abs/2111.09275v1

    • [eess.IV]Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
    Sébastien Piluso, Nicolas Souedet, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux
    http://arxiv.org/abs/2111.08705v1

    • [eess.IV]Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study
    Jhon Jairo Saenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrez, Jon A. Gómez, Maria de la Iglesia-Vayá
    http://arxiv.org/abs/2111.08712v1

    • [eess.IV]CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
    Azael M. Sousa, Fabiano Reis, Rachel Zerbini, João L. D. Comba, Alexandre X. Falcão
    http://arxiv.org/abs/2111.08710v1

    • [eess.IV]End-to-end optimized image compression with competition of prior distributions
    Benoit Brummer, Christophe De Vleeschouwer
    http://arxiv.org/abs/2111.09172v1

    • [eess.IV]Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation
    G Jignesh Chowdary, G V S N Durga Yathisha, Suganya G, Premalatha M
    http://arxiv.org/abs/2111.08708v1

    • [eess.IV]Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
    Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang
    http://arxiv.org/abs/2111.09103v1

    • [eess.IV]Image Super-Resolution Using T-Tetromino Pixels
    Simon Grosche, Andy Regensky, Jürgen Seiler, André Kaup
    http://arxiv.org/abs/2111.09013v1

    • [eess.IV]Segmentation of Lung Tumor from CT Images using Deep Supervision
    Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman
    http://arxiv.org/abs/2111.09262v1

    • [eess.IV]Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
    Zhishen Huang, Saiprasad Ravishankar
    http://arxiv.org/abs/2111.09212v1

    • [eess.IV]Two-step adversarial debiasing with partial learning — medical image case-studies
    Ramon Correa, Jiwoong Jason Jeong, Bhavik Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
    http://arxiv.org/abs/2111.08711v1

    • [eess.SP]A Generalized Proportionate-Type Normalized Subband Adaptive Filter
    Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
    http://arxiv.org/abs/2111.08952v1

    • [math.ST]On Adaptive Confidence Sets for the Wasserstein Distances
    Neil Deo, Thibault Randrianarisoa
    http://arxiv.org/abs/2111.08505v2

    • [physics.flu-dyn]Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
    Elias Karabelas, Stefano Longobardi, Jana Fuchsberger, Orod Razeghi, Cristobal Rodero, Marina Strocchi, Ronak Rajani, Gundolf Haase, Gernot Plank, Steven Niederer
    http://arxiv.org/abs/2111.08339v2

    • [q-bio.GN]Interpreting multi-variate models with setPCA
    Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill
    http://arxiv.org/abs/2111.09138v1

    • [q-bio.QM]Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
    Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
    http://arxiv.org/abs/2111.09114v1

    • [q-fin.ST]Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
    Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
    http://arxiv.org/abs/2111.09057v1

    • [quant-ph]Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
    Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders
    http://arxiv.org/abs/2111.09304v1

    • [stat.AP]Identifying the Factors that Influence Urban Public Transit Demand
    Armstrong Aboah, Lydia Johnson, Setul Shah
    http://arxiv.org/abs/2111.09126v1

    • [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets
    Richard A. Berk, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2111.09211v1

    • [stat.AP]Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation
    Nathan Tung, Eli Upfal, Jerome Sanes, Ani Eloyan
    http://arxiv.org/abs/2111.08118v2

    • [stat.AP]Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data
    Sangwon Hyun, Aditya Mishra, Christopher L. Follett, Bror Jonsson, Gemma Kulk, Gael Forget, Marie-Fanny Racault, Thomas Jackson, Stephanie Dutkiewicz, Christian L. Müller, Jacob Bien
    http://arxiv.org/abs/2111.08736v1

    • [stat.AP]Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach
    Zohreh Shaghaghian, Fatemeh Shahsavari, Elham Delzendeh
    http://arxiv.org/abs/2111.08844v1

    • [stat.AP]The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018
    Rohan Alexander, Monica Alexander
    http://arxiv.org/abs/2111.09299v1

    • [stat.ME]A Note on Simulation-Based Inference by Matching Random Features
    Cosma Rohilla Shalizi
    http://arxiv.org/abs/2111.09220v1

    • [stat.ME]Jump Interval-Learning for Individualized Decision Making
    Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
    http://arxiv.org/abs/2111.08885v1

    • [stat.ME]Non-parametric Bayesian Vector Autoregression using Multi-subject Data
    Suprateek Kundu, Joshua Lukemire
    http://arxiv.org/abs/2111.08743v1

    • [stat.ME]Practical Guidance on Modeling Choices for the Virtual Twins Method
    Chuyu Deng, David M. Vock, Dana M. Carroll, Jeffrey A. Boatman, Dorothy K. Hatsukami, Ning Leng, Joseph S. Koopmeiners
    http://arxiv.org/abs/2111.08741v1

    • [stat.ME]Some Case Studies Using Bayesian Statistical Models
    Juan Sosa, Lina Buitrago
    http://arxiv.org/abs/2111.08870v1

    • [stat.ME]Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
    Robin Dunn, Larry Wasserman, Aaditya Ramdas
    http://arxiv.org/abs/2111.09254v1

    • [stat.ML]Distribution Compression in Near-linear Time
    Abhishek Shetty, Raaz Dwivedi, Lester Mackey
    http://arxiv.org/abs/2111.07941v2

    • [stat.ML]Max-Min Grouped Bandits
    Zhenlin Wang, Jonathan Scarlett
    http://arxiv.org/abs/2111.08862v1

    • [stat.ML]Online Estimation and Optimization of Utility-Based Shortfall Risk
    Arvind S. Menon, Prashanth L. A., Krishna Jagannathan
    http://arxiv.org/abs/2111.08805v1

    • [stat.ML]Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
    Rune D. Kjærsgaard, Manja G. Grønberg, Line K. H. Clemmensen
    http://arxiv.org/abs/2111.09065v1

    • [stat.ML]Three approaches to supervised learning for compositional data with pairwise logratios
    Germa Coenders, Michael Greenacre
    http://arxiv.org/abs/2111.08953v1

    • [stat.OT]A revision to the theory of organic fiducial inference
    Russell J. Bowater
    http://arxiv.org/abs/2111.09279v1