cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.DC - 分布式、并行与集群计算
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NI - 网络和互联网体系结构
    cs.PF - 计算性能
    cs.RO - 机器人学
    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.CO - 组合数学
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    q-bio.PE - 人口与发展
    q-fin.ST - 统计金融学
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Exploiting a Zoo of Checkpoints for Unseen Tasks
    • [cs.AI]Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
    • [cs.AI]Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
    • [cs.AI]Regular Decision Processes for Grid Worlds
    • [cs.AR]RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks
    • [cs.CL]A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
    • [cs.CL]An overview of event extraction and its applications
    • [cs.CL]Conformer-based Hybrid ASR System for Switchboard Dataset
    • [cs.CL]Context-Aware Transformer Transducer for Speech Recognition
    • [cs.CL]Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling
    • [cs.CL]Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
    • [cs.CL]Dialogue Inspectional Summarization with Factual Inconsistency Awareness
    • [cs.CL]Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
    • [cs.CL]Grounded Graph Decoding Improves Compositional Generalization in Question Answering
    • [cs.CL]LTL under reductions with weaker conditions than stutter-invariance
    • [cs.CL]Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
    • [cs.CL]On the Impact of Temporal Representations on Metaphor Detection
    • [cs.CL]POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
    • [cs.CL]Sexism Identification in Tweets and Gabs using Deep Neural Networks
    • [cs.CR]Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
    • [cs.CR]FedLess: Secure and Scalable Federated Learning Using Serverless Computing
    • [cs.CR]Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN
    • [cs.CV]A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
    • [cs.CV]AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection
    • [cs.CV]Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
    • [cs.CV]Attention on Classification for Fire Segmentation
    • [cs.CV]BBC-Oxford British Sign Language Dataset
    • [cs.CV]DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
    • [cs.CV]Edge Tracing using Gaussian Process Regression
    • [cs.CV]EditGAN: High-Precision Semantic Image Editing
    • [cs.CV]Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
    • [cs.CV]FBNet: Feature Balance Network for Urban-Scene Segmentation
    • [cs.CV]Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
    • [cs.CV]Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
    • [cs.CV]Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
    • [cs.CV]KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
    • [cs.CV]MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry
    • [cs.CV]Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
    • [cs.CV]Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
    • [cs.CV]Recognizing Vector Graphics without Rasterization
    • [cs.CV]Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
    • [cs.CV]SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
    • [cs.CV]Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
    • [cs.CV]Seamless Satellite-image Synthesis
    • [cs.CV]Semantic Consistency in Image-to-Image Translation for Unsupervised Domain Adaptation
    • [cs.CV]Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
    • [cs.CV]Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion
    • [cs.CV]Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
    • [cs.CV]Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting
    • [cs.CV]Structure-aware Image Inpainting with Two Parallel Streams
    • [cs.CV]StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
    • [cs.CV]Synchronized Smartphone Video Recording System of Depth and RGB Image Frames with Sub-millisecond Precision
    • [cs.CV]Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
    • [cs.CV]TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering
    • [cs.CV]The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
    • [cs.CV]Visualizing the Emergence of Intermediate Visual Patterns in DNNs
    • [cs.DC]Predictive Replica Placement for Mobile Users in Distributed Fog Data Stores with Client-Side Markov Models
    • [cs.DC]Safe and Practical GPU Acceleration in TrustZone
    • [cs.GT]Online Learning in Periodic Zero-Sum Games
    • [cs.HC]Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline
    • [cs.IR]A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry
    • [cs.IR]AIM: Automatic Interaction Machine for Click-Through Rate Prediction
    • [cs.IR]FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
    • [cs.IR]Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
    • [cs.IR]Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
    • [cs.IT]Analysis of Sensing Spectral for Signal Recovery Under a Generalized Linear Model
    • [cs.IT]Asymptotically Good Quantum and Locally Testable Classical LDPC Codes
    • [cs.IT]Deep Learning Based Near-OrthogonalSuperposition Code for Short Message Transmission
    • [cs.IT]Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling
    • [cs.IT]Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
    • [cs.IT]Higher-Order MDS Codes
    • [cs.IT]Maximally recoverable local reconstruction codes from subspace direct sum systems
    • [cs.IT]Mean-Field Approximation based Scheduling for Broadcast Channels with Massive Receivers
    • [cs.IT]Second Degree Model for Multi-Compression and Recovery of Distributed Signals
    • [cs.LG]A Data-driven Approach to Neural Architecture Search Initialization
    • [cs.LG]A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
    • [cs.LG]A Unified Game-Theoretic Interpretation of Adversarial Robustness
    • [cs.LG]A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction
    • [cs.LG]A Variational U-Net for Weather Forecasting
    • [cs.LG]AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
    • [cs.LG]Adversarial Attacks o
    1000
    n Knowledge Graph Embeddings via Instance Attribution Methods
    • [cs.LG]Amortized Variational Inference for Simple Hierarchical Models
    • [cs.LG]An Analysis of Elephants’ Movement Data in Sub-Saharan Africa Using Clustering
    • [cs.LG]An Empirical Study of Neural Kernel Bandits
    • [cs.LG]Automated Human Mind Reading Using EEG Signals for Seizure Detection
    • [cs.LG]Automated Supervised Feature Selection for Differentiated Patterns of Care
    • [cs.LG]Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning
    • [cs.LG]DVFL: A Vertical Federated Learning Method for Dynamic Data
    • [cs.LG]Data Selection for Efficient Model Update in Federated Learning
    • [cs.LG]Dataset of Fake News Detection and Fact Verification: A Survey
    • [cs.LG]Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies
    • [cs.LG]Dual Parameterization of Sparse Variational Gaussian Processes
    • [cs.LG]Dynamic Data Augmentation with Gating Networks
    • [cs.LG]EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence
    • [cs.LG]Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
    • [cs.LG]GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
    • [cs.LG]Graph Denoising with Framelet Regularizer
    • [cs.LG]Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
    • [cs.LG]Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
    • [cs.LG]LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
    • [cs.LG]Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
    • [cs.LG]Long Range Probabilistic Forecasting in Time-Series using High Order Statistics
    • [cs.LG]Meta-Forecasting by combining Global DeepRepresentations with Local Adaptation
    • [cs.LG]Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
    • [cs.LG]NAS-Bench-x11 and the Power of Learning Curves
    • [cs.LG]Neural Network Based Epileptic EEG Detection and Classification
    • [cs.LG]Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
    • [cs.LG]Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space
    • [cs.LG]Risk-averse Heteroscedastic Bayesian Optimization
    • [cs.LG]S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data
    • [cs.LG]Scaffolding Sets
    • [cs.LG]Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
    • [cs.LG]Supervised Advantage Actor-Critic for Recommender Systems
    • [cs.LG]Transferable Time-Series Forecasting under Causal Conditional Shift
    • [cs.LG]Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
    • [cs.NI]Small UAVs-supported Autonomous Generation of Fine-grained 3D Indoor Radio Environmental Maps
    • [cs.PF]SLA-Driven Load Scheduling in Multi-Tier Cloud Computing: Financial Impact Considerations
    • [cs.RO]A First-Order Approach to Model Simultaneous Control of Multiple Microrobots
    • [cs.RO]Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation
    • [cs.RO]LILA: Language-Informed Latent Actions
    • [cs.RO]LiODOM: Adaptive Local Mapping for Robust LiDAR-Only Odometry
    • [cs.RO]My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
    • [cs.RO]Optimal Inverted Landing in a Small Aerial Robot with Varied Approach Velocities and Landing Gear Designs
    • [cs.RO]RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region
    • [cs.SI]Epidemic inference through generative neural networks
    • [cs.SI]SocialVec: Social Entity Embeddings
    • [cs.SI]Statistical Properties of Rankings in Sports and Games
    • [eess.AS]Hybrid Spectrogram and Waveform Source Separation
    • [eess.IV]A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
    • [eess.IV]Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
    • [eess.IV]Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
    • [eess.IV]Hepatic vessel segmentation based on 3Dswin-transformer with inductive biased multi-head self-attention
    • [eess.IV]Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
    • [eess.IV]Pathological Analysis of Blood Cells Using Deep Learning Techniques
    • [eess.IV]Segmentation of 2D Brain MR Images
    • [eess.IV]Versatile Learned Video Compression
    • [eess.SP]Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
    • [eess.SP]Learning of Frequency-Time Attention Mechanism for Automatic Modulation Recognition
    • [eess.SY]Cooperative Transportation of UAVs Without Inter-UAV Communication
    • [math.CO]Lattice Packings of Cross-polytopes Constructed from Sidon Sets
    • [math.NA]Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
    • [math.OC]Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
    • [math.PR]Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster
    • [math.PR]Rate of Convergence of Polynomial Networks to Gaussian Processes
    • [math.ST]Local Asymptotic Normality and Optimal Estimation of low-rank Quantum Systems
    • [math.ST]Optimal pooling and distributed inference for the tail index and extreme quantiles
    • [math.ST]Optimality of variational inference for stochastic block model with missing links
    • [math.ST]Why the 1-Wasserstein distance is the area between the two marginal CDFs
    • [physics.chem-ph]Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System
    • [q-bio.PE]A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
    • [q-fin.ST]Data-driven Hedging of Stock Index Options via Deep Learning
    • [stat.AP]On provision of UK neighbourhood population statistics beyond 2021
    • [stat.AP]Predicting Antimicrobial Resistance in the Intensive Care Unit
    • [stat.ME]Divide-and-Conquer Hard-thresholding Rules in High-dimensional Imbalanced Classification
    • [stat.ME]Improved inference for doubly robust estimators of heterogeneous treatment effects
    • [stat.ME]Liu Estimator in the Multinomial Logistic Regression Model
    • [stat.ME]Nonparametric Regression and Classification with Functional, Categorical, and Mixed Covariates
    • [stat.ME]On the relevance of prognostic information for clinical trials: A theoretical quantification
    • [stat.ME]Quantile index regression
    • [stat.ME]Test of Weak Separability for Spatially Stationary Functional Field
    • [stat.ML]Community detection in censored hypergraph
    • [stat.ML]Contextual Bayesian optimization with binary outputs
    • [stat.ML]Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
    • [stat.ML]Maillard Sampling: Boltzmann Exploration Done Optimally
    • [stat.ML]Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles
    • [stat.ML]Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation

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

    • [cs.AI]Exploiting a Zoo of Checkpoints for Unseen Tasks
    Jiaji Huang, Qiang Qiu, Kenneth Church
    http://arxiv.org/abs/2111.03628v1

    • [cs.AI]Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
    Enpeng Yuan, Pascal Van Hentenryck
    http://arxiv.org/abs/2111.03204v1

    • [cs.AI]Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
    Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
    http://arxiv.org/abs/2111.03431v1

    • [cs.AI]Regular Decision Processes for Grid Worlds
    Nicky Lenaers, Martijn van Otterlo
    http://arxiv.org/abs/2111.03647v1

    • [cs.AR]RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks
    Shahriar Ebrahimi, Reza Salkhordeh, Seyed Ali Osia, Ali Taheri, Hamid Reza Rabiee, Hossein Asadi
    http://arxiv.org/abs/2111.03297v1

    • [cs.CL]A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
    Zhaohong Wan, Xiaojun Wan
    http://arxiv.org/abs/2111.03294v1

    • [cs.CL]An overview of event extraction and its applications
    Jiangwei Liu, Liangyu Min, Xiaohong Huang
    http://arxiv.org/abs/2111.03212v1

    • [cs.CL]Conformer-based Hybrid ASR System for Switchboard Dataset
    Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2111.03442v1

    • [cs.CL]Context-Aware Transformer Transducer for Speech Recognition
    Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann
    http://arxiv.org/abs/2111.03250v1

    • [cs.CL]Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling
    Bi-Cheng Yan, Hsin-Wei Wang, Shih-Hsuan Chiu, Hsuan-Sheng Chiu, Berlin Chen
    http://arxiv.org/abs/2111.03333v1

    • [cs.CL]Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
    Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini, Anand Kumar Madasamy, Sangeetha Sivanesan, Subalalitha Chinnaudayar Navaneethakrishnan, Sajeetha Thavareesan, Dhanalakshmi Vadivel, Rahul Ponnusamy, Prasanna Kumar Kumaresan
    http://arxiv.org/abs/2111.03375v1

    • [cs.CL]Dialogue Inspectional Summarization with Factual Inconsistency Awareness
    Leilei Gan, Yating Zhang, Kun Kuang, Lin Yuan, Shuo Li, Changlong Sun, Xiaozhong Liu, Fei Wu
    http://arxiv.org/abs/2111.03284v1

    • [cs.CL]Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
    Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura, Tadachika Ozono
    http://arxiv.org/abs/2111.03350v1

    • [cs.CL]Grounded Graph Decoding Improves Compositional Generalization in Question Answering
    Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica
    http://arxiv.org/abs/2111.03642v1

    • [cs.CL]LTL under reductions with weaker conditions than stutter-invariance
    Emmanuel Paviot-Adet, Denis Poitrenaud, Etienne Renault, Yann Thierry-Mieg
    http://arxiv.org/abs/2111.03342v1

    • [cs.CL]Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
    Clément Christophe, Julien Velcin, Jairo Cugliari, Manel Boumghar, Philippe Suignard
    http://arxiv.org/abs/2111.03496v1

    • [cs.CL]On the Impact of Temporal Representations on Metaphor Detection
    Giorgio Ottolina, Matteo Palmonari, Mehwish Alam, Manuel Vimercati
    http://arxiv.org/abs/2111.03320v1

    • [cs.CL]POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
    Rahul Mishra, Shuo Zhang
    http://arxiv.org/abs/2111.03547v1

    • [cs.CL]Sexism Identification in Tweets and Gabs using Deep Neural Networks
    Amikul Kalra, Arkaitz Zubiaga
    http://arxiv.org/abs/2111.03612v1

    • [cs.CR]Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
    Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee
    http://arxiv.org/abs/2111.03308v1

    • [cs.CR]FedLess: Secure and Scalable Federated Learning Using Serverless Computing
    Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt
    http://arxiv.org/abs/2111.03396v1

    • [cs.CR]Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN
    Moran Baruch, Lev Greenberg, Guy Moshkowich
    http://arxiv.org/abs/2111.03362v1

    • [cs.CV]A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
    Alessandro Benfenati, Davide Bolzi, Paola Causin, Roberto Oberti
    http://arxiv.org/abs/2111.03388v1

    • [cs.CV]AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection
    Tianfang Zhang, Siying Cao, Tian Pu, Zhenming Peng
    http://arxiv.org/abs/2111.03580v1

    • [cs.CV]Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
    Bowen Deng, Andrew P. French, Michael P. Pound
    http://arxiv.org/abs/2111.03195v1

    • [cs.CV]Attention on Classification for Fire Segmentation
    Milad Niknejad, Alexandre Bernardino
    http://arxiv.org/abs/2111.03129v1

    • [cs.CV]BBC-Oxford British Sign Language Dataset
    Samuel Albanie, Gül Varol, Liliane Momeni, Hannah Bull, Triantafyllos Afouras, Himel Chowdhury, Neil Fox, Bencie Woll, Rob Cooper, Andrew McParland, Andrew Zisserman
    http://arxiv.org/abs/2111.03635v1

    • [cs.CV]DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
    Andreas Papachristodoulou, Christos Kyrkou, Theocharis Theocharides
    http://arxiv.org/abs/2111.03480v1

    • [cs.CV]Edge Tracing using Gaussian Process Regression
    Jamie Burke, Stuart King
    http://arxiv.org/abs/2111.03605v1

    • [cs.CV]EditGAN: High-Precision Semantic Image Editing
    Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
    http://arxiv.org/abs/2111.03186v1

    • [cs.CV]Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
    Xiuyuan Lu, Yi Zhou, Shaojie Shen
    http://arxiv.org/abs/2111.03483v1

    • [cs.CV]FBNet: Feature Balance Network for Urban-Scene Segmentation
    Lei Gan, Huabin Huang, Banghuai Li, Ye Yuan
    http://arxiv.org/abs/2111.03286v1

    • [cs.CV]Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
    Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu
    http://arxiv.org/abs/2111.03216v1

    • [cs.CV]Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
    Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, Jianlong Fu
    http://arxiv.org/abs/2111.03481v1

    • [cs.CV]Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
    Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
    http://arxiv.org/abs/2111.03549v1

    • [cs.CV]KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
    Kalana Abeywardena, Shechem Sumanthiran, Sakuna Jayasundara, Sachira Karunasena, Ranga Rodrigo, Peshala Jayasekara
    http://arxiv.org/abs/2111.03319v1

    • [cs.CV]MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry
    Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz
    http://arxiv.org/abs/2111.03408v1

    • [cs.CV]Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
    Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan
    http://arxiv.org/abs/2111.03349v1

    • [cs.CV]Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
    Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2111.03649v1

    • [cs.CV]Recognizing Vector Graphics without Rasterization
    Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
    http://arxiv.org/abs/2111.03281v1

    • [cs.CV]Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
    Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan, Qudrat Ullah, Rui Wang, Yilin Song, Zhe Guo, Yilong Niu
    http://arxiv.org/abs/2111.03260v1

    • [cs.CV]SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
    Yanpeng Sun, Zechao Li
    http://arxiv.org/abs/2111.03392v1

    • [cs.CV]Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
    Guo-Ye Yang, Xiang-Li Li, Ralph R. Martin, Shi-Min Hu
    http://arxiv.org/abs/2111.03420v1

    • [cs.CV]Seamless Satellite-image Synthesis
    Jialin Zhu, Tom Kelly
    http://arxiv.org/abs/2111.03384v1

    • [cs.CV]Semantic Consistency in Image-to-Image Translation for Unsupervised Domain Adaptation
    Stephan Brehm, Sebastian Scherer, Rainer Lienhart
    http://arxiv.org/abs/2111.03522v1

    • [cs.CV]Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
    Yizhou Li, Yusuke Monno, Masatoshi Okutomi
    http://arxiv.org/abs/2111.03615v1

    • [cs.CV]Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion
    Motasem Alsawadi, Miguel Rio
    http://arxiv.org/abs/2111.03106v1

    • [cs.CV]Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
    Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman
    http://arxiv.org/abs/2111.03421v1

    • [cs.CV]Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting
    Vishnu Sanjay Ramiya Srinivasan, Rui Ma, Qiang Tang, Zili Yi, Zhan Xu
    http://arxiv.org/abs/2111.03574v1

    • [cs.CV]Structure-aware Image Inpainting with Two Parallel Streams
    Zhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu
    http://arxiv.org/abs/2111.03414v1

    • [cs.CV]StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
    Peter Schaldenbrand, Zhixuan Liu, Jean Oh
    http://arxiv.org/abs/2111.03133v1

    • [cs.CV]Synchronized Smartphone Video Recording System of Depth and RGB Image Frames with Sub-millisecond Precision
    Marsel Faizullin, Anastasiia Kornilova, Azat Akhmetyanov, Konstantin Pakulev, Andrey Sadkov, Gonzalo Ferrer
    http://arxiv.org/abs/2111.03552v1

    • [cs.CV]Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
    Xuanhan Wang, Xiaojia Chen, Lianli Gao, Lechao Chen, Jingkuan Song
    http://arxiv.org/abs/2111.03225v1

    • [cs.CV]TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering
    Martin Piala, Ronald Clark
    http://arxiv.org/abs/2111.03643v1

    • [cs.CV]The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
    Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
    http://arxiv.org/abs/2111.03651v1

    • [cs.CV]Visualizing the Emergence of Intermediate Visual Patterns in DNNs
    Mingjie Li, Shaobo Wang, Quanshi Zhang
    http://arxiv.org/abs/2111.03505v1

    • [cs.DC]Predictive Replica Placement for Mobile Users in Distributed Fog Data Stores with Client-Side Markov Models
    Malte Bellmann, Tobias Pfandzelter, David Bermbach
    http://arxiv.org/abs/2111.03395v1

    • [cs.DC]Safe and Practical GPU Acceleration in TrustZone
    Heejin Park, Felix Xiaozhu Lin
    http://arxiv.org/abs/2111.03065v1

    • [cs.GT]Online Learning in Periodic Zero-Sum Games
    Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff
    http://arxiv.org/abs/2111.03377v1

    • [cs.HC]Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline
    Yangtao Zhang, X. Jessie Yang, Feng Zhou
    http://arxiv.org/abs/2111.03511v1

    • [cs.IR]A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry
    Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin Peterson
    http://arxiv.org/abs/2111.03579v1

    • [cs.IR]AIM: Automatic Interaction Machine for Click-Through Rate Prediction
    Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
    http://arxiv.org/abs/2111.03318v1

    • [cs.IR]FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
    Simen Eide, Arnoldo Frigessi, Helge Jenssen, David S. Leslie, Joakim Rishaug, Sofie Verrewaere
    http://arxiv.org/abs/2111.03340v1

    • [cs.IR]Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
    Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li
    http://arxiv.org/abs/2111.03344v1

    • [cs.IR]Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
    Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak
    http://arxiv.org/abs/2111.03576v1

    • [cs.IT]Analysis of Sensing Spectral for Signal Recovery Under a Generalized Linear Model
    Junjie Ma, Ji Xu, Arian Maleki
    http://arxiv.org/abs/2111.03237v1

    • [cs.IT]Asymptotically Good Quantum and Locally Testable Classical LDPC Codes
    Pavel Panteleev, Gleb Kalachev
    http://arxiv.org/abs/2111.03654v1

    • [cs.IT]Deep Learning Based Near-OrthogonalSuperposition Code for Short Message Transmission
    Chenghong Bian, Mingyu Yang, Chin-Wei Hsu, Hun-Seok Kim
    http://arxiv.org/abs/2111.03263v1

    • [cs.IT]Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling
    Maksym A. Girnyk
    http://arxiv.org/abs/2111.03504v1

    • [cs.IT]Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
    Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder
    http://arxiv.org/abs/2111.03486v1

    • [cs.IT]Higher-Order MDS Codes
    Ron M. Roth
    http://arxiv.org/abs/2111.03210v1

    • [cs.IT]Maximally recoverable local reconstruction codes from subspace direct sum systems
    Shu Liu, Chaoping Xing
    http://arxiv.org/abs/2111.03244v1

    • [cs.IT]Mean-Field Approximation based Scheduling for Broadcast Channels with Massive Receivers
    Changkun Li, Wei Chen, Khaled B. Letaief
    http://arxiv.org/abs/2111.03229v1

    • [cs.IT]Second Degree Model for Multi-Compression and Recovery of Distributed Signals
    Pablo Soto-Quiros, Anatoli Torokhti, Stanley J. Miklavcic
    http://arxiv.org/abs/2111.03614v1

    • [cs.LG]A Data-driven Approach to Neural Architecture Search Initialization
    Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu
    http://arxiv.org/abs/2111.03524v1

    • [cs.LG]A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
    Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu
    http://arxiv.org/abs/2111.03532v1

    • [cs.LG]A Unified Game-Theoretic Interpretation of Adversarial Robustness
    Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
    http://arxiv.org/abs/2111.03536v1

    • [cs.LG]A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction
    Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michael Ughetto, Sebastian Nilsson, Eliseo Papa
    http://arxiv.org/abs/2111.02916v2

    • [cs.LG]A Variational U-Net for Weather Forecasting
    Pak Hay Kwok, Qi Qi
    http://arxiv.org/abs/2111.03476v1

    • [cs.LG]AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
    Roy Henha Eyono, Fabio Maria Carlucci, Pedro M Esperança, Binxin Ru, Phillip Torr
    http://arxiv.org/abs/2111.03555v1

    • [cs.LG]Adversarial Attacks o
    1000
    n Knowledge Graph Embeddings via Instance Attribution Methods
    Peru Bhardwaj, John Kelleher, Luca Costabello, Declan O’Sullivan
    http://arxiv.org/abs/2111.03120v1

    • [cs.LG]Amortized Variational Inference for Simple Hierarchical Models
    Abhinav Agrawal, Justin Domke
    http://arxiv.org/abs/2111.03144v1

    • [cs.LG]An Analysis of Elephants’ Movement Data in Sub-Saharan Africa Using Clustering
    Gregory Glatzer, Prasenjit Mitra, Johnson Kinyua
    http://arxiv.org/abs/2111.03533v1

    • [cs.LG]An Empirical Study of Neural Kernel Bandits
    Michal Lisicki, Arash Afkanpour, Graham W. Taylor
    http://arxiv.org/abs/2111.03543v1

    • [cs.LG]Automated Human Mind Reading Using EEG Signals for Seizure Detection
    Virender Ranga, Shivam Gupta, Jyoti Meena, Priyansh Agrawal
    http://arxiv.org/abs/2111.03270v1

    • [cs.LG]Automated Supervised Feature Selection for Differentiated Patterns of Care
    Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang’, Aisha Walcott-Bryant
    http://arxiv.org/abs/2111.03495v1

    • [cs.LG]Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning
    Yuxiang Ren, Jiawei Zhang
    http://arxiv.org/abs/2111.03262v1

    • [cs.LG]DVFL: A Vertical Federated Learning Method for Dynamic Data
    Yuzhi Liang, Yixiang Chen
    http://arxiv.org/abs/2111.03341v1

    • [cs.LG]Data Selection for Efficient Model Update in Federated Learning
    Hongrui Shi, Valentin Radu
    http://arxiv.org/abs/2111.03512v1

    • [cs.LG]Dataset of Fake News Detection and Fact Verification: A Survey
    Taichi Murayama
    http://arxiv.org/abs/2111.03299v1

    • [cs.LG]Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies
    Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
    http://arxiv.org/abs/2111.03267v1

    • [cs.LG]Dual Parameterization of Sparse Variational Gaussian Processes
    Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
    http://arxiv.org/abs/2111.03412v1

    • [cs.LG]Dynamic Data Augmentation with Gating Networks
    Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
    http://arxiv.org/abs/2111.03253v1

    • [cs.LG]EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence
    Shivam Gupta, Virender Ranga, Priyansh Agrawal
    http://arxiv.org/abs/2111.03265v1

    • [cs.LG]Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
    Kyongmin Yeo, Zan Li, Wesley M. Gifford
    http://arxiv.org/abs/2111.03126v1

    • [cs.LG]GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
    Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan Jepson, Alex Levinshtein
    http://arxiv.org/abs/2111.03162v1

    • [cs.LG]Graph Denoising with Framelet Regularizer
    Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
    http://arxiv.org/abs/2111.03264v1

    • [cs.LG]Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
    Ruijie Jiang, Prakash Ishwar, Shuchin Aeron
    http://arxiv.org/abs/2111.03169v1

    • [cs.LG]Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
    Bhanu Jain, Manfred Huber, Ramez Elmasri
    http://arxiv.org/abs/2111.03638v1

    • [cs.LG]LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
    Zhuofu Tao, Chen Wu, Yuan Liang, Lei He
    http://arxiv.org/abs/2111.03184v1

    • [cs.LG]Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
    Takanori Maehara, Hoang NT
    http://arxiv.org/abs/2111.03317v1

    • [cs.LG]Long Range Probabilistic Forecasting in Time-Series using High Order Statistics
    Prathamesh Deshpande, Sunita Sarawagi
    http://arxiv.org/abs/2111.03394v1

    • [cs.LG]Meta-Forecasting by combining Global DeepRepresentations with Local Adaptation
    Riccardo Grazzi, Valentin Flunkert, David Salinas, Tim Januschowski, Matthias Seeger, Cedric Archambeau
    http://arxiv.org/abs/2111.03418v1

    • [cs.LG]Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
    Runa Eschenhagen, Erik Daxberger, Philipp Hennig, Agustinus Kristiadi
    http://arxiv.org/abs/2111.03577v1

    • [cs.LG]NAS-Bench-x11 and the Power of Learning Curves
    Shen Yan, Colin White, Yash Savani, Frank Hutter
    http://arxiv.org/abs/2111.03602v1

    • [cs.LG]Neural Network Based Epileptic EEG Detection and Classification
    Shivam Gupta, Jyoti Meena, O. P Gupta
    http://arxiv.org/abs/2111.03268v1

    • [cs.LG]Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
    Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak
    http://arxiv.org/abs/2111.03592v1

    • [cs.LG]Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space
    Jihao Long, Jiequn Han
    http://arxiv.org/abs/2111.03469v1

    • [cs.LG]Risk-averse Heteroscedastic Bayesian Optimization
    Anastasiia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
    http://arxiv.org/abs/2111.03637v1

    • [cs.LG]S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data
    Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou
    http://arxiv.org/abs/2111.03519v1

    • [cs.LG]Scaffolding Sets
    Maya Burhanpurkar, Zhun Deng, Cynthia Dwork, Linjun Zhang
    http://arxiv.org/abs/2111.03135v1

    • [cs.LG]Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
    Mohammed Temraz, Mark T. Keane
    http://arxiv.org/abs/2111.03516v1

    • [cs.LG]Supervised Advantage Actor-Critic for Recommender Systems
    Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
    http://arxiv.org/abs/2111.03474v1

    • [cs.LG]Transferable Time-Series Forecasting under Causal Conditional Shift
    Zijian Li, Ruichu Cai, Tom Z. J Fu, Kun Zhang
    http://arxiv.org/abs/2111.03422v1

    • [cs.LG]Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
    Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Ted Xiao, Sergey Levine, Brian Ichter
    http://arxiv.org/abs/2111.03189v1

    • [cs.NI]Small UAVs-supported Autonomous Generation of Fine-grained 3D Indoor Radio Environmental Maps
    Ken Mendes, Filip Lemic, Jeroen Famaey
    http://arxiv.org/abs/2111.03451v1

    • [cs.PF]SLA-Driven Load Scheduling in Multi-Tier Cloud Computing: Financial Impact Considerations
    Husam Suleiman, Otman Basir
    http://arxiv.org/abs/2111.03488v1

    • [cs.RO]A First-Order Approach to Model Simultaneous Control of Multiple Microrobots
    Logan E. Beaver, Sambeeta Das, Andreas A. Malikopoulos
    http://arxiv.org/abs/2111.03232v1

    • [cs.RO]Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation
    Elena Merlo, Edoardo Lamon, Fabio Fusaro, Marta Lorenzini, Alessandro Carfì, Fulvio Mastrogiovanni, Arash Ajoudani, .
    http://arxiv.org/abs/2111.03630v1

    • [cs.RO]LILA: Language-Informed Latent Actions
    Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
    http://arxiv.org/abs/2111.03205v1

    • [cs.RO]LiODOM: Adaptive Local Mapping for Robust LiDAR-Only Odometry
    Emilio Garcia-Fidalgo, Joan P. Company-Corcoles, Francisco Bonnin-Pascual, Alberto Ortiz
    http://arxiv.org/abs/2111.03393v1

    • [cs.RO]My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
    Ivan Kapelyukh, Edward Johns
    http://arxiv.org/abs/2111.03112v1

    • [cs.RO]Optimal Inverted Landing in a Small Aerial Robot with Varied Approach Velocities and Landing Gear Designs
    Bryan Habas, Bader AlAttar, Brian Davis, Jack W. Langelaan, Bo Cheng
    http://arxiv.org/abs/2111.03539v1

    • [cs.RO]RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region
    Wenchao Yue, Fan Bai, Jianbang Liu, Feng Ju, Max Q-H Meng, Chwee Ming Lim, Hongliang Ren
    http://arxiv.org/abs/2111.03235v1

    • [cs.SI]Epidemic inference through generative neural networks
    Indaco Biazzo, Alfredo Braunstein, Luca Dall’Asta, Fabio Mazza
    http://arxiv.org/abs/2111.03383v1

    • [cs.SI]SocialVec: Social Entity Embeddings
    Nir Lotan, Einat Minkov
    http://arxiv.org/abs/2111.03514v1

    • [cs.SI]Statistical Properties of Rankings in Sports and Games
    José Antonio Morales, Jorge Flores, Carlos Gershenson, Carlos Pineda
    http://arxiv.org/abs/2111.03599v1

    • [eess.AS]Hybrid Spectrogram and Waveform Source Separation
    Alexandre Défossez
    http://arxiv.org/abs/2111.03600v1

    • [eess.IV]A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
    Sivaramakrishnan Rajaraman, Gregg Cohen, Les folio, Sameer Antani
    http://arxiv.org/abs/2111.03404v1

    • [eess.IV]Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
    Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz
    http://arxiv.org/abs/2111.03485v1

    • [eess.IV]Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
    Zhenxing Dong, Hong Cao, Wang Shen, Yu Gan, Yuye Ling, Guangtao Zhai, Yikai Su
    http://arxiv.org/abs/2111.03301v1

    • [eess.IV]Hepatic vessel segmentation based on 3Dswin-transformer with inductive biased multi-head self-attention
    Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng
    http://arxiv.org/abs/2111.03368v1

    • [eess.IV]Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
    Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis
    http://arxiv.org/abs/2111.03231v1

    • [eess.IV]Pathological Analysis of Blood Cells Using Deep Learning Techniques
    Virender Ranga, Shivam Gupta, Priyansh Agrawal, Jyoti Meena
    http://arxiv.org/abs/2111.03274v1

    • [eess.IV]Segmentation of 2D Brain MR Images
    Angad Ripudaman Singh Bajwa
    http://arxiv.org/abs/2111.03370v1

    • [eess.IV]Versatile Learned Video Compression
    Runsen Feng, Zongyu Guo, Zhizheng Zhang, Zhibo Chen
    http://arxiv.org/abs/2111.03386v1

    • [eess.SP]Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
    Alejandro J. Ordóñez-Conejo, Armin Lederer, Sandra Hirche
    http://arxiv.org/abs/2111.03617v1

    • [eess.SP]Learning of Frequency-Time Attention Mechanism for Automatic Modulation Recognition
    Shangao Lin, Yuan Zeng, Yi Gong
    http://arxiv.org/abs/2111.03258v1

    • [eess.SY]Cooperative Transportation of UAVs Without Inter-UAV Communication
    Pin-Xian Wu, Cheng-Cheng Yang, Teng-Hu Cheng
    http://arxiv.org/abs/2111.03283v1

    • [math.CO]Lattice Packings of Cross-polytopes Constructed from Sidon Sets
    Mladen Kovačević
    http://arxiv.org/abs/2111.03343v1

    • [math.NA]Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
    Jeff Calder, Sangmin Park, Dejan Slepčev
    http://arxiv.org/abs/2111.03217v1

    • [math.OC]Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
    Jonathan Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan
    http://arxiv.org/abs/2111.03137v1

    • [math.PR]Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster
    Emmanuel Abbe, Shuangping Li, Allan Sly
    http://arxiv.org/abs/2111.03084v1

    • [math.PR]Rate of Convergence of Polynomial Networks to Gaussian Processes
    Adam Klukowski
    http://arxiv.org/abs/2111.03175v1

    • [math.ST]Local Asymptotic Normality and Optimal Estimation of low-rank Quantum Systems
    Samriddha Lahiry, Michael Nussbaum
    http://arxiv.org/abs/2111.03279v1

    • [math.ST]Optimal pooling and distributed inference for the tail index and extreme quantiles
    Abdelaati Daouia, Simone A. Padoan, Gilles Stupfler
    http://arxiv.org/abs/2111.03173v1

    • [math.ST]Optimality of variational inference for stochastic block model with missing links
    Solenne Gaucher, Olga Klopp
    http://arxiv.org/abs/2111.03305v1

    • [math.ST]Why the 1-Wasserstein distance is the area between the two marginal CDFs
    Marco De Angelis, Ander Gray
    http://arxiv.org/abs/2111.03570v1

    • [physics.chem-ph]Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System
    Julian Arnold, Juan Carlos San Vicente Veliz, Debasish Koner, Narendra Singh, Raymond J. Bemish, Markus Meuwly
    http://arxiv.org/abs/2111.03563v1

    • [q-bio.PE]A SEIR model with time-varying coefficients for analysing the SARS-CoV-2 epidemic
    P. Girardi, C. Gaetan
    http://arxiv.org/abs/2111.03157v1

    • [q-fin.ST]Data-driven Hedging of Stock Index Options via Deep Learning
    Jie Chen, Lingfei Li
    http://arxiv.org/abs/2111.03477v1

    • [stat.AP]On provision of UK neighbourhood population statistics beyond 2021
    Li-Chun Zhang
    http://arxiv.org/abs/2111.03100v1

    • [stat.AP]Predicting Antimicrobial Resistance in the Intensive Care Unit
    Taiyao Wang, Kyle R. Hansen, Joshua Loving, Ioannis Ch. Paschalidis, Helen van Aggelen, Eran Simhon
    http://arxiv.org/abs/2111.03575v1

    • [stat.ME]Divide-and-Conquer Hard-thresholding Rules in High-dimensional Imbalanced Classification
    Arezou Mojiri, Abbas Khalili, Ali Zeinal Hamadani
    http://arxiv.org/abs/2111.03306v1

    • [stat.ME]Improved inference for doubly robust estimators of heterogeneous treatment effects
    Heejun Shin, Joseph Antonelli
    http://arxiv.org/abs/2111.03594v1

    • [stat.ME]Liu Estimator in the Multinomial Logistic Regression Model
    Yasin Asar, Murat Erişoğlu
    http://arxiv.org/abs/2111.03398v1

    • [stat.ME]Nonparametric Regression and Classification with Functional, Categorical, and Mixed Covariates
    Leonie Selk, Jan Gertheiss
    http://arxiv.org/abs/2111.03115v1

    • [stat.ME]On the relevance of prognostic information for clinical trials: A theoretical quantification
    Sandra Siegfried, Stephen Senn, Torsten Hothorn
    http://arxiv.org/abs/2111.03391v1

    • [stat.ME]Quantile index regression
    Yingying Zhang, Yuefeng Si, Guodong Li, Chil-Ling Tsai
    http://arxiv.org/abs/2111.03223v1

    • [stat.ME]Test of Weak Separability for Spatially Stationary Functional Field
    Decai Liang, Hui Huang, Yongtao Guan, Fang Yao
    http://arxiv.org/abs/2111.03252v1

    • [stat.ML]Community detection in censored hypergraph
    Mingao Yuan, Bin Zhao, Xiaofeng Zhao
    http://arxiv.org/abs/2111.03179v1

    • [stat.ML]Contextual Bayesian optimization with binary outputs
    Tristan Fauvel, Matthew Chalk
    http://arxiv.org/abs/2111.03447v1

    • [stat.ML]Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
    Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
    http://arxiv.org/abs/2111.03289v1

    • [stat.ML]Maillard Sampling: Boltzmann Exploration Done Optimally
    Jie Bian, Kwang-Sung Jun
    http://arxiv.org/abs/2111.03290v1

    • [stat.ML]Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles
    Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener
    http://arxiv.org/abs/2111.03140v1

    • [stat.ML]Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation
    Kentaro Ohno, Atsutoshi Kumagai
    http://arxiv.org/abs/2111.03282v1