今日学术视野(2021.10.26)

astro-ph.GA - 星系天体物理学
cond-mat.stat-mech - 统计数学
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
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.LO - 计算逻辑
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.geo-ph - 地球物理学
physics.soc-ph - 物理学与社会
q-bio.GN - 基因组学
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [astro-ph.GA]Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
• [cond-mat.stat-mech]Deterministic particle flows for constraining SDEs
• [cs.AI]Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs
• [cs.AI]Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
• [cs.AI]Think about it! Improving defeasible reasoning by first modeling the question scenario
• [cs.AI]Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programming
• [cs.CL]”So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy
• [cs.CL]Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
• [cs.CL]Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language
• [cs.CL]Battling Hateful Content in Indic Languages HASOC ‘21
• [cs.CL]Chinese Traditional Poetry Generating System Based on Deep Learning
• [cs.CL]ClimateBert: A Pretrained Language Model for Climate-Related Text
• [cs.CL]Contrastive Learning for Neural Topic Model
• [cs.CL]Distributed neural encoding of binding to thematic roles
• [cs.CL]Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and Marathi
• [cs.CL]Generating artificial texts as substitution or complement of training data
• [cs.CL]Hate and Offensive Speech Detection in Hindi and Marathi
• [cs.CL]Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead
• [cs.CL]Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
• [cs.CL]No News is Good News: A Critique of the One Billion Word Benchmark
• [cs.CL]Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
• [cs.CL]PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
• [cs.CL]Persona Authentication through Generative Dialogue
• [cs.CL]PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
• [cs.CL]Revisiting CNN for Highly Inflected Bengali and Hindi Language Modeling
• [cs.CL]Scalable knowledge base completion with superposition memories
• [cs.CL]SciCap: Generating Captions for Scientific Figures
• [cs.CL]SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
• [cs.CL]Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming
• [cs.CL]SgSum: Transforming Multi-document Summarization into Sub-graph Selection
• [cs.CL]Spanish Legalese Language Model and Corpora
• [cs.CL]TODSum: Task-Oriented Dialogue Summarization with State Tracking
• [cs.CL]Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
• [cs.CL]Transliterating Kurdish texts in Latin into Persian-Arabic script
• [cs.CL]Understanding the Impact of UGC Specificities on Translation Quality
• [cs.CL]Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
• [cs.CR]CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
• [cs.CR]Generating Watermarked Adversarial Texts
• [cs.CR]Orthogonal variance-based feature selection for intrusion detection systems
• [cs.CV]2nd Place Solution for SODA10M Challenge 2021 — Continual Detection Track
• [cs.CV]A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
• [cs.CV]A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
• [cs.CV]A Distillation Learning Model of Adaptive Structural Deep Belief Network for AffectNet: Facial Expression Image Database
• [cs.CV]A Dynamic Keypoints Selection Network for 6DoF Pose Estimation
• [cs.CV]A Simple Baseline for Low-Budget Active Learning
• [cs.CV]A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data
• [cs.CV]A methodology for detection and localization of fruits in apples orchards from aerial images
• [cs.CV]ADC: Adversarial attacks against object Detection that evade Context consistency checks
• [cs.CV]Accelerate 3D Object Processing via Spectral Layout
• [cs.CV]Age and Gender Prediction using Deep CNNs and Transfer Learning
• [cs.CV]An Adaptive Structural Learning of Deep Belief Network for Image-based Crack Detection in Concrete Structures Using SDNET2018
• [cs.CV]An attention-driven hierarchical multi-scale representation for visual recognition
• [cs.CV]Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
• [cs.CV]Automatic Extraction of Road Networks from Satellite Images by using Adaptive Structural Deep Belief Network
• [cs.CV]AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
• [cs.CV]Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
• [cs.CV]Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function
• [cs.CV]CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation
• [cs.CV]Cascading Feature Extraction for Fast Point Cloud Registration
• [cs.CV]Circle Representation for Medical Object Detection
• [cs.CV]CoVA: Context-aware Visual Attention for Webpage Information Extraction
• [cs.CV]Confidence-Aware Active Feedback for Efficient Instance Search
• [cs.CV]CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
• [cs.CV]Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization
• [cs.CV]Deep Learning for UAV-based Object Detection and Tracking: A Survey
• [cs.CV]Diagnosing Errors in Video Relation Detectors
• [cs.CV]DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
• [cs.CV]Domain Adaptation for Rare Classes Augmented with Synthetic Samples
• [cs.CV]Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval
• [cs.CV]ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
• [cs.CV]EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
• [cs.CV]Event Data Association via Robust Model Fitting for Event-based Object Tracking
• [cs.CV]Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
• [cs.CV]Exploring Gradient Flow Based Saliency for DNN Model Compression
• [cs.CV]Face sketch to photo translation using generative adversarial networks
• [cs.CV]Fast Gradient Non-sign Methods
• [cs.CV]Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
• [cs.CV]Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware
• [cs.CV]HSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
• [cs.CV]Highly Efficient Natural Image Matting
• [cs.CV]Image-Based CLIP-Guided Essence Transfer
• [cs.CV]Industrial Scene Text Detection with Refined Feature-attentive Network
• [cs.CV]Instance-Conditional Knowledge Distillation for Object Detection
• [cs.CV]LAE : Long-tailed Age Estimation
• [cs.CV]Local-Global Associative Frame Assemble in Video Re-ID
• [cs.CV]Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
• [cs.CV]MTGLS: Multi-Task Gaze Estimation with Limited Supervision
• [cs.CV]MUSE: Feature Self-Distillation with Mutual Information and Self-Information
• [cs.CV]MVT: Multi-view Vision Transformer for 3D Object Recognition
• [cs.CV]MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
• [cs.CV]MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation
• [cs.CV]MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
• [cs.CV]Multi-Domain Incremental Learning for Semantic Segmentation
• [cs.CV]Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching
• [cs.CV]NAS-FCOS: Efficient Search for Object Detection Architectures
• [cs.CV]Network compression and faster inference using spatial basis filters
• [cs.CV]Neural Relightable Participating Media Rendering
• [cs.CV]Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks
• [cs.CV]Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks
• [cs.CV]Perceptual Consistency in Video Segmentation
• [cs.CV]Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
• [cs.CV]Quality Map Fusion for Adversarial Learning
• [cs.CV]RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection
• [cs.CV]RPT++: Customized Feature Representation for Siamese Visual Tracking
• [cs.CV]Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision
• [cs.CV]Restore from Restored: Single-image Inpainting
• [cs.CV]Robustness via Uncertainty-aware Cycle Consistency
• [cs.CV]Rotation Equivariant Deforestation Segmentation and Driver Classification
• [cs.CV]SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition
• [cs.CV]SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
• [cs.CV]SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
• [cs.CV]STransGAN: An Empirical Study on Transformer in GANs
• [cs.CV]Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
• [cs.CV]Self-Validation: Early Stopping for Single-Instance Deep Generative Priors
• [cs.CV]Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering
• [cs.CV]Signal to Noise Ratio Loss Function
• [cs.CV]Some like it tough: Improving model generalization via progressively increasing the training difficulty
• [cs.CV]Spatio-Temporal Graph Complementary Scattering Networks
• [cs.CV]Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
• [cs.CV]TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization
• [cs.CV]TPSNet: Thin-Plate-Spline Representation for Arbitrary Shape Scene Text Detection
• [cs.CV]Ultra Light OCR Competition Technical Report
• [cs.CV]Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition
• [cs.CV]When to Prune? A Policy towards Early Structural Pruning
• [cs.CV]X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
• [cs.CV]espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology
• [cs.CY]An approach to optimize study programs using Discrete Event Simulation
• [cs.CY]Definition and Implications of the Digital Near-Death Experience: A Theoretical Essay on Preliminary Empiricism
• [cs.CY]The Prevalence of Cybersecurity Misinformation on Social Media: Case Studies on Phishing Reports and Zoom’s Threats
• [cs.DC]A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
• [cs.DC]Accelerating Compact Fractals with Tensor Core GPUs
• [cs.DC]Causal Consistent Replication in Reversible Concurrent Calculi
• [cs.DC]Characterizing User and Provider Reported Cloud Failures
• [cs.DC]Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
• [cs.DC]Formal Guarantees of Timely Progress for Distributed Knowledge Propagation
• [cs.DC]HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware
• [cs.DC]New Bounds for the Flock-of-Birds Problem
• [cs.DC]Operational Characterization of a Public Scientific Datacenter During and Beyond the COVID-19 Period
• [cs.DC]Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery
• [cs.DC]RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework (Extended Version)
• [cs.DC]Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
• [cs.DC]Towards Demystifying Intra-Function Parallelism in Serverless Computing
• [cs.DS]Dynamic Influence Maximization
• [cs.DS]Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
• [cs.GR]Stochastic Rounding for Image Interpolation and Scan Conversion
• [cs.GT]Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents
• [cs.GT]Recommender Systems meet Mechanism Design
• [cs.HC]Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
• [cs.HC]Normative Epistemology for Lethal Autonomous Weapons Systems
• [cs.IR]Content Filtering Enriched GNN Framework for News Recommendation
• [cs.IR]DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder
• [cs.IR]Developing a Meta-suggestion Engine for Search Query
• [cs.IR]PaperFetcher: A tool to automate handsearch for systematic reviews
• [cs.IR]Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
• [cs.IR]Towards the D-Optimal Online Experiment Design for Recommender Selection
• [cs.IT]Algorithms for the Communication of Samples
• [cs.IT]Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G
• [cs.IT]Duals of linearized Reed-Solomon codes
• [cs.IT]Fronthaul Compression for Uplink Massive MIMO using Matrix Decomposition
• [cs.IT]Generalized Polarization Transform: A Novel Coded Transmission Paradigm
• [cs.IT]High-Speed Trains Access Connectivity Through RIS-Assisted FSO Communications
• [cs.IT]Information-Theoretic Limits of Integrated Sensing and Communication with Correlated Sensing and Channel States
• [cs.IT]Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix
• [cs.IT]On Throughput Bounds of NOMA-ALOHA
• [cs.IT]Optimal Transmit Beamforming for Secrecy Integrated Sensing and Communication
• [cs.IT]Problems with information theoretic approaches to causal learning
• [cs.IT]RIS-aided Massive MIMO: Achieving Large Multiplexing Gains with non-Large Arrays
• [cs.IT]Random Matrix based Physical Layer Secret Key Generation in Static Channels
• [cs.IT]Scalable Channel Estimation and Reflection Optimization for Reconfigurable Intelligent Surface-Enhanced OFDM Systems
• [cs.IT]Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
• [cs.IT]Ultra-Dense LEO Satellite-based Communication Systems: A Novel Modeling Technique
• [cs.IT]Variational Probabilistic Multi-Hypothesis Tracking
• [cs.LG]A Broader Picture of Random-walk Based Graph Embedding
• [cs.LG]A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness
• [cs.LG]A Prototype-Oriented Framework for Unsupervised Domain Adaptation
• [cs.LG]AFEC: Active Forgetting of Negative Transfer in Continual Learning
• [cs.LG]Adaptive Data Debiasing through Bounded Exploration and Fairness
• [cs.LG]Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
• [cs.LG]Alignment Attention by Matching Key and Query Distributions
• [cs.LG]Applications and Techniques for Fast Machine Learning in Science
• [cs.LG]AutoMTL: A Programming Framework for Automated Multi-Task Learning
• [cs.LG]C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
• [cs.LG]Can Q-Learning be Improved with Advice?
• [cs.LG]Coarse-Grained Smoothness for RL in Metric Spaces
• [cs.LG]Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
• [cs.LG]ConformalLayers: A non-linear sequential neural network with associative layers
• [cs.LG]Contrastively Disentangled Sequential Variational Autoencoder
• [cs.LG]DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
• [cs.LG]DP-XGBoost: Private Machine Learning at Scale
• [cs.LG]Debiasing Credit Scoring using Evolutionary Algorithms
• [cs.LG]Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
• [cs.LG]Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
• [cs.LG]Detecting Wandering Behavior of People with Dementia
• [cs.LG]Detecting model drift using polynomial relations
• [cs.LG]Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
• [cs.LG]Domain Adaptation via Maximizing Surrogate Mutual Information
• [cs.LG]Employing chunk size adaptation to overcome concept drift
• [cs.LG]Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow
• [cs.LG]Event Detection on Dynamic Graphs
• [cs.LG]Fair Enough: Searching for Sufficient Measures of Fairness
• [cs.LG]Fairness Degrading Adversarial Attacks Against Clustering Algorithms
• [cs.LG]Fairness in Missing Data Imputation
• [cs.LG]Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
• [cs.LG]Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
• [cs.LG]Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning
• [cs.LG]Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
• [cs.LG]Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
• [cs.LG]Gophormer: Ego-Graph Transformer for Node Classification
• [cs.LG]Group-disentangled Representation Learning with Weakly-Supervised Regularization
• [cs.LG]Hierarchical Few-Shot Generative Models
• [cs.LG]IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search
• [cs.LG]Improving Spectral Clustering Using Spectrum-Preserving Node Reduction
• [cs.LG]In Search of Probeable Generalization Measures
• [cs.LG]Instance-Dependent Partial Label Learning
• [cs.LG]Kernel density estimation-based sampling for neural network classification
• [cs.LG]Kernelized Heterogeneous Risk Minimization
• [cs.LG]Latent-Insensitive Autoencoders for Anomaly Detection and Class-Incremental Learning
• [cs.LG]Learning Stochastic Shortest Path with Linear Function Approximation
• [cs.LG]Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning
• [cs.LG]Learning convex regularizers satisfying the variational source condition for inverse problems
• [cs.LG]Learning curves for Gaussian process regression with power-law priors and targets
• [cs.LG]Learning to Estimate Without Bias
• [cs.LG]Least Square Calibration for Peer Review
• [cs.LG]Linear Contextual Bandits with Adversarial Corruptions
• [cs.LG]ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer’s Disease
• [cs.LG]Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
• [cs.LG]Micro Batch Streaming: Allowing the Training of DNN models Using a large batch size on Small Memory Systems
• [cs.LG]Mixture-of-Variational-Experts for Continual Learning
• [cs.LG]Multi-armed Bandit Algorithm against Strategic Replication
• [cs.LG]Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
• [cs.LG]Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning
• [cs.LG]Neural Flows: Efficient Alternative to Neural ODEs
• [cs.LG]Non-Asymptotic Error Bounds for Bidirectional GANs
• [cs.LG]Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
• [cs.LG]Off-Policy Evaluation in Partially Observed Markov Decision Processes
• [cs.LG]Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
• [cs.LG]On Slowly-varying Non-stationary Bandits
• [cs.LG]On the Tractability of Neural Causal Inference
• [cs.LG]Online estimation and control with optimal pathlength regret
• [cs.LG]Operator Augmentation for Model-based Policy Evaluation
• [cs.LG]Optimal Model Averaging: Towards Personalized Collaborative Learning
• [cs.LG]Optimization-Based GenQSGD for Federated Edge Learning
• [cs.LG]PROMPT: Parallel Iterative Algorithm for norm linear regression via Majorization Minimization with an application to semi-supervised graph learning
• [cs.LG]Parameter Prediction for Unseen Deep Architectures
• [cs.LG]Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL
• [cs.LG]QuantifyML: How Good is my Machine Learning Model?
• [cs.LG]Quantifying Epistemic Uncertainty in Deep Learning
• [cs.LG]ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models
• [cs.LG]Recurrent Off-policy Baselines for Memory-based Continuous Control
• [cs.LG]Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
• [cs.LG]Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
• [cs.LG]SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning
• [cs.LG]SSMF: Shifting Seasonal Matrix Factorization
• [cs.LG]Safely Bridging Offline and Online Reinforcement Learning
• [cs.LG]Scalable Lipschitz Residual Networks with Convex Potential Flows
• [cs.LG]Scalable Smartphone Cluster for Deep Learning
• [cs.LG]Scaling Neural Program Synthesis with Distribution-based Search
• [cs.LG]Scientific Machine Learning Benchmarks
• [cs.LG]Seeing biodiversity: perspectives in machine learning for wildlife conservation
• [cs.LG]Self-Consistent Models and Values
• [cs.LG]SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
• [cs.LG]Shift of Pairwise Similarities for Data Clustering
• [cs.LG]Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
• [cs.LG]The Countable-armed Bandit with Vanishing Arms
• [cs.LG]The Efficiency Misnomer
• [cs.LG]Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
• [cs.LG]Towards a Robust Differentiable Architecture Search under Label Noise
• [cs.LG]Understanding the World Through Action
• [cs.LG]Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
• [cs.LG]Vector Optimization with Stochastic Bandit Feedback
• [cs.LG]What Would Jiminy Cricket Do? Towards Agents That Behave Morally
• [cs.LG]Which Model To Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks
• [cs.LG]ZerO Initialization: Initializing Residual Networks with only Zeros and Ones
• [cs.LO]Towards Partial Monitoring: It is Always too Soon to Give Up
• [cs.NE]Conditional Generation of Periodic Signals with Fourier-Based Decoder
• [cs.NE]Evolutionary Optimization of High-Coverage Budgeted Classifiers
• [cs.NI]A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services
• [cs.RO]A Differentiable Newton-Euler Algorithm for Real-World Robotics
• [cs.RO]Adaptive Control of Underactuated Planar Pronking Hexapod
• [cs.RO]Characterizing The Limits of Linear Modeling of Non-Linear Swarm Behaviors
• [cs.RO]CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction
• [cs.RO]Contact Information Flow and Design of Compliance
• [cs.RO]DiffSRL: Learning Dynamic-aware State Representation for Deformable Object Control with Differentiable Simulator
• [cs.RO]Fast High-Quality Tabletop Rearrangement in Bounded Workspace
• [cs.RO]Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation
• [cs.RO]GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment
• [cs.RO]Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
• [cs.RO]Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
• [cs.RO]Path Planning of a Spin-Rolling Sphere on a Plane
• [cs.RO]Simulation and Model Checking for Close to Realtime Overtaking Planning
• [cs.RO]WOLF: A modular estimation framework for robotics based on factor graphs
• [cs.RO]Where were my keys? — Aggregating Spatial-Temporal Instances of Objects for Efficient Retrieval over Long Periods of Time
• [cs.SD]A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments
• [cs.SD]Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience
• [cs.SD]DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021
• [cs.SD]Discrete acoustic space for an efficient sampling in neural text-to-speech
• [cs.SD]Unsupervised Source Separation By Steering Pretrained Music Models
• [cs.SE]A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis
• [cs.SE]Complete Agent-driven Model-based System Testing for Autonomous Systems
• [cs.SE]Complete Test of Synthesised Safety Supervisors for Robots and Autonomous Systems
• [cs.SI]Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence
• [cs.SI]How to Quantify Polarization in Models of Opinion Dynamics
• [cs.SI]NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization
• [cs.SI]Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem
• [cs.SI]Towards User Engagement Dynamics in Social Networks
• [econ.EM]Functional instrumental variable regression with an application to estimating the impact of immigration on native wages
• [econ.EM]On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints
• [eess.IV]”One-Shot” Reduction of Additive Artifacts in Medical Images
• [eess.IV]Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI Should Different Clinical Objectives Mandate Different Loss Functions?
• [eess.IV]Automatic segmentation of novel coronavirus pneumonia lesions in CT images utilizing deep-supervised ensemble learning network
• [eess.IV]Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset
• [eess.IV]Dense Dual-Attention Network for Light Field Image Super-Resolution
• [eess.IV]Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images
• [eess.IV]Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images
• [eess.IV]Generative Residual Attention Network for Disease Detection
• [eess.IV]Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
• [eess.IV]Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network
• [eess.IV]Raw Bayer Pattern Image Synthesis with Conditional GAN
• [eess.IV]Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
• [eess.IV]Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds
• [eess.IV]Uncertainty-Aware Lung Nodule Segmentation with Multiple Annotations
• [eess.IV]Vertebrae segmentation, identification and localization using a graph optimization and a synergistic cycle
• [eess.SP]Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
• [eess.SP]Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)
• [eess.SY]Integrated Task and Motion Planning for Safe Legged Navigation in Partially Observable Environments
• [eess.SY]Neural ODE and DAE Modules for Power System Dynamic Modeling
• [math.NA]A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition
• [math.NA]WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
• [math.OC]Accelerated Almost-Sure Convergence Rates for Nonconvex Stochastic Gradient Descent using Stochastic Learning Rates
• [math.OC]Acceleration in Distributed Optimization Under Similarity
• [math.OC]Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems
• [math.OC]On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization
• [math.PR]On quantitative Laplace-type convergence results for some exponential probability measures, with two applications
• [math.PR]The Eigenvectors of Single-spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
• [math.ST]A new semi-parametric estimator for LARCH processes
• [math.ST]Minimax rates for sparse signal detection under correlation
• [math.ST]Over-Conservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation
• [math.ST]Robust Strongly Convergent M-Estimators Under Non-IID Assumption
• [math.ST]Sufficient reductions in regression with mixed predictors
• [math.ST]Universally consistent estimation of the reach
• [math.ST]Why Machine Learning Cannot Ignore Maximum Likelihood Estimation
• [physics.geo-ph]An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
• [physics.soc-ph]Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
• [q-bio.GN]RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data
• [q-bio.NC]Stochastic facilitation in heteroclinic communication channels
• [q-bio.NC]Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
• [q-bio.QM]De Novo Molecular Generation with Stacked Adversarial Model
• [quant-ph]Boson sampling discrete solitons by quantum machine learning
• [quant-ph]Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints
• [quant-ph]Quantum Boosting using Domain-Partitioning Hypotheses
• [stat.AP]Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures
• [stat.AP]Inferring the sources of HIV infection in Africa from deep sequence data with semi-parametric Bayesian Poisson flow models
• [stat.AP]Pandemic model with data-driven phase detection, a study using COVID-19 data
• [stat.CO]Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
• [stat.CO]Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
• [stat.ME]A repeated measures approach to pooled and calibrated biomarker data
• [stat.ME]Adjusting for unobserved confounding using large-scale propensity scores
• [stat.ME]Applying Regression Conformal Prediction with Nearest Neighbors to time series data
• [stat.ME]Bayesian Analysis of Stochastic Volatility Model using Finite Gaussian Mixtures with Unknown Number of Components
• [stat.ME]Communication-Efficient Distributed Quantile Regression with Optimal Statistical Guarantees
• [stat.ME]Compositional data analysis — linear algebra, visualization and interpretation
• [stat.ME]Conjugate priors for count and rounded data regression
• [stat.ME]Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response
• [stat.ME]Erlang mixture modeling for Poisson process intensities
• [stat.ME]Faster estimation for constrained gamma mixture models using closed-form estimators
• [stat.ME]Imprecise Subset Simulation
• [stat.ME]Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling
• [stat.ME]L-2 Regularized maximum likelihood for -model in large and sparse networks
• [stat.ME]Local Independence Testing for Point Processes
• [stat.ME]MOVER confidence intervals for a difference or ratio effect parameter under stratified sampling
• [stat.ME]Minimax estimation of Functional Principal Components from noisy discretized functional data
• [stat.ME]Nested : Assessing Convergence for Markov chain Monte Carlo when using many short chains
• [stat.ME]Partially Intervenable Causal Models
• [stat.ME]Poisson-modification of the Quasi Lindley distribution and its zero modification for over-dispersed count data
• [stat.ME]Post-Regularization Confidence Bands for Ordinary Differential Equations
• [stat.ME]Prior Intensified Information Criterion
• [stat.ME]Robust Variable Selection under Cellwise Contamination
• [stat.ME]Sparse varying-coefficient functional linear model
• [stat.ME]Treatment effect validation via a permutation test in Stata
• [stat.ME]Weighted Mean Difference Statistics for Paired Data in Presence of Missing Values
• [stat.ML]Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits
• [stat.ML]Fast Rank-1 NMF for Missing Data with KL Divergence
• [stat.ML]Generalized Resubstitution for Classification Error Estimation
• [stat.ML]Gradient-based Quadratic Multiform Separation
• [stat.ML]Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
• [stat.ML]Integrated Conditional Estimation-Optimization
• [stat.ML]Maximum Correntropy Criterion Regression models with tending-to-zero scale parameters
• [stat.ML]Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R
• [stat.ML]Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
• [stat.ML]Path Signature Area-Based Causal Discovery in Coupled Time Series
• [stat.ML]Variational Gaussian Processes: A Functional Analysis View

·····································

• [astro-ph.GA]Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
Mike Walmsley, Anna M. M. Scaife, Chris Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons
http://arxiv.org/abs/2110.12735v1

• [cond-mat.stat-mech]Deterministic particle flows for constraining SDEs
Dimitra Maoutsa, Manfred Opper
http://arxiv.org/abs/2110.13020v1

• [cs.AI]Lexicographic Optimisation of Conditional Value at Risk and Expected Value for Risk-Averse Planning in MDPs
Marc Rigter, Paul Duckworth, Bruno Lacerda, Nick Hawes
http://arxiv.org/abs/2110.12746v1

• [cs.AI]Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
Alex Delalande
http://arxiv.org/abs/2110.12678v1

• [cs.AI]Think about it! Improving defeasible reasoning by first modeling the question scenario
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard Hovy
http://arxiv.org/abs/2110.12349v1

• [cs.AI]Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programming
Joaquín Arias, Manuel Carro, Gopal Gupta
http://arxiv.org/abs/2110.12053v1

• [cs.CL]“So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy
Anirudh Mittal, Pranav Jeevan, Prerak Gandhi, Diptesh Kanojia, Pushpak Bhattacharyya
http://arxiv.org/abs/2110.12765v1

• [cs.CL]Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez Baeza, Andrew Bartko, Chun-Nan Hsu
http://arxiv.org/abs/2110.12501v1

• [cs.CL]Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language
Mohr Wenger, Tom Kalir, Noga Berger, Carmit Chalamish, Renana Keydar, Gabriel Stanovsky
http://arxiv.org/abs/2110.12383v1

• [cs.CL]Battling Hateful Content in Indic Languages HASOC ‘21
Aditya Kadam, Anmol Goel, Jivitesh Jain, Jushaan Singh Kalra, Mallika Subramanian, Manvith Reddy, Prashant Kodali, T. H. Arjun, Manish Shrivastava, Ponnurangam Kumaraguru
http://arxiv.org/abs/2110.12780v1

• [cs.CL]Chinese Traditional Poetry Generating System Based on Deep Learning
Chenlei Bao, Lican Huang
http://arxiv.org/abs/2110.12335v1

• [cs.CL]ClimateBert: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold
http://arxiv.org/abs/2110.12010v1

• [cs.CL]Contrastive Learning for Neural Topic Model
Thong Nguyen, Anh Tuan Luu
http://arxiv.org/abs/2110.12764v1

• [cs.CL]Distributed neural encoding of binding to thematic roles
Matthias Lalisse, Paul Smolensky
http://arxiv.org/abs/2110.12342v1

• [cs.CL]Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and Marathi
Anna Glazkova, Michael Kadantsev, Maksim Glazkov
http://arxiv.org/abs/2110.12687v1

• [cs.CL]Generating artificial texts as substitution or complement of training data
Vincent Claveau, Antoine Chaffin, Ewa Kijak
http://arxiv.org/abs/2110.13016v1

• [cs.CL]Hate and Offensive Speech Detection in Hindi and Marathi
Abhishek Velankar, Hrushikesh Patil, Amol Gore, Shubham Salunke, Raviraj Joshi
http://arxiv.org/abs/2110.12200v1

• [cs.CL]Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead
Eyal Ben-David, Boaz Carmeli, Ateret Anaby-Tavor
http://arxiv.org/abs/2110.12412v1

• [cs.CL]Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Weiqiang Jin, Hang Yu, Xi Tao, Ruiping Yin
http://arxiv.org/abs/2110.12679v1

• [cs.CL]No News is Good News: A Critique of the One Billion Word Benchmark
Helen Ngo, João G. M. Araújo, Jeffrey Hui, Nicholas Frosst
http://arxiv.org/abs/2110.12609v1

• [cs.CL]Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
José Carlos Rosales Núñez, Guillaume Wisniewski, Djamé Seddah
http://arxiv.org/abs/2110.12552v1

• [cs.CL]PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
Michael Kranzlein, Emma Manning, Siyao Peng, Shira Wein, Aryaman Arora, Bradford Salen, Nathan Schneider
http://arxiv.org/abs/2110.12243v1

• [cs.CL]Persona Authentication through Generative Dialogue
Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou
http://arxiv.org/abs/2110.12949v1

• [cs.CL]PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
Long Doan, Linh The Nguyen, Nguyen Luong Tran, Thai Hoang, Dat Quoc Nguyen
http://arxiv.org/abs/2110.12199v1

• [cs.CL]Revisiting CNN for Highly Inflected Bengali and Hindi Language Modeling
Chowdhury Rafeed Rahman, MD. Hasibur Rahman, Mohammad Rafsan, Samiha Zakir, Mohammed Eunus Ali, Rafsanjani Muhammod
http://arxiv.org/abs/2110.13032v1

• [cs.CL]Scalable knowledge base completion with superposition memories
Matthias Lalisse, Eric Rosen, Paul Smolensky
http://arxiv.org/abs/2110.12341v1

• [cs.CL]SciCap: Generating Captions for Scientific Figures
Ting-Yao Hsu, C. Lee Giles, Ting-Hao ‘Kenneth’ Huang
http://arxiv.org/abs/2110.11624v2

• [cs.CL]SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
Panayiotis Smeros, Carlos Castillo, Karl Aberer
http://arxiv.org/abs/2110.13090v1

• [cs.CL]Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming
Hong Huang, Junjie H. Xu, Xiaoling Ling, Pujana Paliyawan
http://arxiv.org/abs/2110.12416v1

• [cs.CL]SgSum: Transforming Multi-document Summarization into Sub-graph Selection
Moye Chen, Wei Li, Jiachen Liu, Xinyan Xiao, Hua Wu, Haifeng Wang
http://arxiv.org/abs/2110.12645v1

• [cs.CL]Spanish Legalese Language Model and Corpora
Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Aitor Gonzalez-Agirre, Marta Villegas
http://arxiv.org/abs/2110.12201v1

• [cs.CL]TODSum: Task-Oriented Dialogue Summarization with State Tracking
Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng
http://arxiv.org/abs/2110.12680v1

• [cs.CL]Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
http://arxiv.org/abs/2110.12370v1

• [cs.CL]Transliterating Kurdish texts in Latin into Persian-Arabic script
Hossein Hassani
http://arxiv.org/abs/2110.12374v1

• [cs.CL]Understanding the Impact of UGC Specificities on Translation Quality
José Carlos Rosales Núñez, Djamé Seddah, Guillaume Wisniewski
http://arxiv.org/abs/2110.12551v1

• [cs.CL]Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
Ta-Chung Chi, Alexander I. Rudnicky
http://arxiv.org/abs/2110.12646v1

• [cs.CR]CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li
http://arxiv.org/abs/2110.12925v1

• [cs.CR]Generating Watermarked Adversarial Texts
Mingjie Li, Hanzhou Wu, Xinpeng Zhang
http://arxiv.org/abs/2110.12948v1

• [cs.CR]Orthogonal variance-based feature selection for intrusion detection systems
Firuz Kamalov, Sherif Moussa, Ziad El Khatib, Adel Ben Mnaouer
http://arxiv.org/abs/2110.12627v1

• [cs.CV]2nd Place Solution for SODA10M Challenge 2021 — Continual Detection Track
Manoj Acharya, Christopher Kanan
http://arxiv.org/abs/2110.13064v1

• [cs.CV]A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
Zhenxi Zhu, Limin Wang, Sheng Guo, Gangshan Wu
http://arxiv.org/abs/2110.12358v1

• [cs.CV]A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images
Giles Tetteh, Fernando Navarro, Johannes Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze
http://arxiv.org/abs/2110.12508v1

• [cs.CV]A Distillation Learning Model of Adaptive Structural Deep Belief Network for AffectNet: Facial Expression Image Database
Takumi Ichimura, Shin Kamada
http://arxiv.org/abs/2110.12717v1

• [cs.CV]A Dynamic Keypoints Selection Network for 6DoF Pose Estimation
Haowen Sun, Taiyong Wang
http://arxiv.org/abs/2110.12401v1

• [cs.CV]A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash
http://arxiv.org/abs/2110.12033v1

• [cs.CV]A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data
Madina Abdrakhmanova, Saniya Abushakimova, Yerbolat Khassanov, Huseyin Atakan Varol
http://arxiv.org/abs/2110.12136v1

• [cs.CV]A methodology for detection and localization of fruits in apples orchards from aerial images
Thiago T. Santos, Luciano Gebler
http://arxiv.org/abs/2110.12331v1

• [cs.CV]ADC: Adversarial attacks against object Detection that evade Context consistency checks
Mingjun Yin, Shasha Li, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy
http://arxiv.org/abs/2110.12321v1

• [cs.CV]Accelerate 3D Object Processing via Spectral Layout
Yongyu Wang, Hang Su, Yue Wang
http://arxiv.org/abs/2110.12621v1

• [cs.CV]Age and Gender Prediction using Deep CNNs and Transfer Learning
Vikas Sheoran, Shreyansh Joshi, Tanisha R. Bhayani
http://arxiv.org/abs/2110.12633v1

• [cs.CV]An Adaptive Structural Learning of Deep Belief Network for Image-based Crack Detection in Concrete Structures Using SDNET2018
Shin Kamada, Takumi Ichimura, Takashi Iwasaki
http://arxiv.org/abs/2110.12700v1

• [cs.CV]An attention-driven hierarchical multi-scale representation for visual recognition
Zachary Wharton, Ardhendu Behera, Asish Bera
http://arxiv.org/abs/2110.12178v1

• [cs.CV]Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
Asish Bera, Zachary Wharton, Yonghuai Liu, Nik Bessis, Ardhendu Behera
http://arxiv.org/abs/2110.12183v1

• [cs.CV]Automatic Extraction of Road Networks from Satellite Images by using Adaptive Structural Deep Belief Network
Shin Kamada, Takumi Ichimura
http://arxiv.org/abs/2110.12684v1

• [cs.CV]AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli
http://arxiv.org/abs/2110.12369v1

• [cs.CV]Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
Md Aminul Haque Palash, MD Abdullah Al Nasim, Sourav Saha, Faria Afrin, Raisa Mallik, Sathishkumar Samiappan
http://arxiv.org/abs/2110.12442v1

• [cs.CV]Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function
Dehao Huang, Jintao Cheng, Rui Fan, Zhihao Su, Qiongxiong Ma, Jie Li
http://arxiv.org/abs/2110.12647v1

• [cs.CV]CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation
Aanis Ahmad, Dharmendra Saraswat, Aly El Gamal, Gurmukh Johal
http://arxiv.org/abs/2110.12084v1

• [cs.CV]Cascading Feature Extraction for Fast Point Cloud Registration
Yoichiro Hisadome, Yusuke Matsui
http://arxiv.org/abs/2110.12204v1

• [cs.CV]Circle Representation for Medical Object Detection
Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
http://arxiv.org/abs/2110.12093v1

• [cs.CV]CoVA: Context-aware Visual Attention for Webpage Information Extraction
Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander Schwing
http://arxiv.org/abs/2110.12320v1

• [cs.CV]Confidence-Aware Active Feedback for Efficient Instance Search
Yue Zhang, Chao Liang, Longxiang Jiang
http://arxiv.org/abs/2110.12255v1

• [cs.CV]CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
Weiqiang Jin, Hang Yu, Hang Yu
http://arxiv.org/abs/2110.12364v1

• [cs.CV]Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization
Jianglin Lu, Hailing Wang, Jie Zhou, Mengfan Yan, Jiajun Wen
http://arxiv.org/abs/2110.12478v1

• [cs.CV]Deep Learning for UAV-based Object Detection and Tracking: A Survey
Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du
http://arxiv.org/abs/2110.12638v1

• [cs.CV]Diagnosing Errors in Video Relation Detectors
Shuo Chen, Pascal Mettes, Cees G. M. Snoek
http://arxiv.org/abs/2110.13110v1

• [cs.CV]DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
Hao Feng, Yuechen Wang, Wengang Zhou, Jiajun Deng, Houqiang Li
http://arxiv.org/abs/2110.12942v1

• [cs.CV]Domain Adaptation for Rare Classes Augmented with Synthetic Samples
Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery
http://arxiv.org/abs/2110.12216v1

• [cs.CV]Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval
Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
http://arxiv.org/abs/2110.12812v1

• [cs.CV]ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li
http://arxiv.org/abs/2110.12211v1

• [cs.CV]EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
http://arxiv.org/abs/2110.12486v1

• [cs.CV]Event Data Association via Robust Model Fitting for Event-based Object Tracking
Haosheng Chen, Shuyuan Lin, David Suter, Yan Yan, Hanzi Wang
http://arxiv.org/abs/2110.12962v1

• [cs.CV]Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David M. Knigge, David W. Romero, Erik J. Bekkers
http://arxiv.org/abs/2110.13059v1

• [cs.CV]Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan
http://arxiv.org/abs/2110.12477v1

• [cs.CV]Face sketch to photo translation using generative adversarial networks
Nastaran Moradzadeh Farid, Maryam Saeedi Fard, Ahmad Nickabadi
http://arxiv.org/abs/2110.12290v1

• [cs.CV]Fast Gradient Non-sign Methods
Yaya Cheng, Xiaosu Zhu, Qilong Zhang, Lianli Gao, Jingkuan Song
http://arxiv.org/abs/2110.12734v1

• [cs.CV]Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel
http://arxiv.org/abs/2110.12613v1

• [cs.CV]Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware
Jared Harris-Dewey, Richard Klein
http://arxiv.org/abs/2110.12039v1

• [cs.CV]HSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
Jihun Yoon, Jiwon Lee, Sunghwan Heo, Hayeong Yu, Jayeon Lim, Chi Hyun Song, SeulGi Hong, Seungbum Hong, Bokyung Park, SungHyun Park, Woo Jin Hyung, Min-Kook Choi1
http://arxiv.org/abs/2110.12555v1

• [cs.CV]Highly Efficient Natural Image Matting
Yijie Zhong, Bo Li, Lv Tang, Hao Tang, Shouhong Ding
http://arxiv.org/abs/2110.12748v1

• [cs.CV]Image-Based CLIP-Guided Essence Transfer
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
http://arxiv.org/abs/2110.12427v1

• [cs.CV]Industrial Scene Text Detection with Refined Feature-attentive Network
Tongkun Guan, Chaochen Gu, Changsheng Lu, Jingzheng Tu, Qi Feng, Kaijie Wu, Xinping Guan
http://arxiv.org/abs/2110.12663v1

• [cs.CV]Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang, Peizhen Zhang, Xiangyu Zhang, Jian Sun, Nanning Zheng
http://arxiv.org/abs/2110.12724v1

• [cs.CV]LAE : Long-tailed Age Estimation
Zenghao Bao, Zichang Tan, Yu Zhu, Jun Wan, Xibo Ma, Zhen Lei, Guodong Guo
http://arxiv.org/abs/2110.12741v1

• [cs.CV]Local-Global Associative Frame Assemble in Video Re-ID
Qilei Li, Jiabo Huang, Shaogang Gong
http://arxiv.org/abs/2110.12018v1

• [cs.CV]Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
Shujian Liao, Terry Lyons, Weixin Yang, Kevin Schlegel, Hao Ni
http://arxiv.org/abs/2110.13008v1

• [cs.CV]MTGLS: Multi-Task Gaze Estimation with Limited Supervision
Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe
http://arxiv.org/abs/2110.12100v1

• [cs.CV]MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen
http://arxiv.org/abs/2110.12606v1

• [cs.CV]MVT: Multi-view Vision Transformer for 3D Object Recognition
Shuo Chen, Tan Yu, Ping Li
http://arxiv.org/abs/2110.13083v1

• [cs.CV]MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Mustafa Sercan Amac, Ahmet Sencan, Orhun Bugra Baran, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis
http://arxiv.org/abs/2110.12207v1

• [cs.CV]MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius De Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
http://arxiv.org/abs/2110.12179v1

• [cs.CV]MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
Zenghao Chai, Zhengzhuo Xu, Chun Yuan
http://arxiv.org/abs/2110.12978v1

• [cs.CV]Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
http://arxiv.org/abs/2110.12205v1

• [cs.CV]Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching
Kumail Raza, René Schuster, Didier Stricker
http://arxiv.org/abs/2110.12769v1

• [cs.CV]NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang
http://arxiv.org/abs/2110.12423v1

• [cs.CV]Network compression and faster inference using spatial basis filters
Roy Miles, Krystian Mikolajczyk
http://arxiv.org/abs/2110.12844v1

• [cs.CV]Neural Relightable Participating Media Rendering
Quan Zheng, Gurprit Singh, Hans-Peter Seidel
http://arxiv.org/abs/2110.12993v1

• [cs.CV]Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks
Aarush Gupta, Shikhar Ahuja
http://arxiv.org/abs/2110.12246v1

• [cs.CV]Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks
Manuel Schultheiss, Philipp Schmette, Thorsten Sellerer, Rafael Schick, Kirsten Taphorn, Korbinian Mechlem, Lorenz Birnbacher, Bernhard Renger, Marcus R. Makowski, Franz Pfeiffer, Daniela Pfeiffer
http://arxiv.org/abs/2110.12509v1

• [cs.CV]Perceptual Consistency in Video Segmentation
Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli
http://arxiv.org/abs/2110.12385v1

• [cs.CV]Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon
http://arxiv.org/abs/2110.12635v1

• [cs.CV]Quality Map Fusion for Adversarial Learning
Uche Osahor, Nasser M. Nasrabadi
http://arxiv.org/abs/2110.12338v1

• [cs.CV]RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection
Zhuofan Zong, Qianggang Cao, Biao Leng
http://arxiv.org/abs/2110.12130v1

• [cs.CV]RPT++: Customized Feature Representation for Siamese Visual Tracking
Ziang Ma, Haitao Zhang, Linyuan Wang, Jun Yin
http://arxiv.org/abs/2110.12194v1

• [cs.CV]Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision
Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
http://arxiv.org/abs/2110.12521v1

• [cs.CV]Restore from Restored: Single-image Inpainting
Eunhye Lee, Jeongmu Kim, Jisu Kim, Tae Hyun Kim
http://arxiv.org/abs/2110.12822v1

• [cs.CV]Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
http://arxiv.org/abs/2110.12467v1

• [cs.CV]Rotation Equivariant Deforestation Segmentation and Driver Classification
Joshua Mitton, Roderick Murray-Smith
http://arxiv.org/abs/2110.13097v1

• [cs.CV]SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition
Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield
http://arxiv.org/abs/2110.12914v1

• [cs.CV]SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
Jingyuan Yang, Xinbo Gao, Leida Li, Xiumei Wang, Jinshan Ding
http://arxiv.org/abs/2110.12334v1

• [cs.CV]SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
http://arxiv.org/abs/2110.12715v1

• [cs.CV]STransGAN: An Empirical Study on Transformer in GANs
Rui Xu, Xiangyu Xu, Kai Chen, Bolei Zhou, Chen Change Loy
http://arxiv.org/abs/2110.13107v1

• [cs.CV]Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Seungbum Hong, Jihun Yoon, Junmo Kim, Min-Kook Choi
http://arxiv.org/abs/2110.12696v1

• [cs.CV]Self-Validation: Early Stopping for Single-Instance Deep Generative Priors
Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
http://arxiv.org/abs/2110.12271v1

• [cs.CV]Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering
Rui Li, Guangmin Zang, Miao Qi, Wolfgang Heidrich
http://arxiv.org/abs/2110.12975v1

• [cs.CV]Signal to Noise Ratio Loss Function
Ali Ghobadzadeh, Amir Lashkari
http://arxiv.org/abs/2110.12275v1

• [cs.CV]Some like it tough: Improving model generalization via progressively increasing the training difficulty
Hannes Fassold
http://arxiv.org/abs/2110.13058v1

• [cs.CV]Spatio-Temporal Graph Complementary Scattering Networks
Zida Cheng, Siheng Chen, Ya Zhang
http://arxiv.org/abs/2110.12150v1

• [cs.CV]Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai
http://arxiv.org/abs/2110.12151v1

• [cs.CV]TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization
Wei han, Hantao Huang, Xiaoxi Yu
http://arxiv.org/abs/2110.13027v1

• [cs.CV]TPSNet: Thin-Plate-Spline Representation for Arbitrary Shape Scene Text Detection
Wei Wang
http://arxiv.org/abs/2110.12826v1

• [cs.CV]Ultra Light OCR Competition Technical Report
Shuhan Zhang, Yuxin Zou, Tianhe Wang, Yichao Xiong
http://arxiv.org/abs/2110.12623v1

• [cs.CV]Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition
Ozge Mercanoglu Sincan, Hacer Yalim Keles
http://arxiv.org/abs/2110.12396v1

• [cs.CV]When to Prune? A Policy towards Early Structural Pruning
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
http://arxiv.org/abs/2110.12007v1

• [cs.CV]X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
Hong Cai, Janarbek Matai, Shubhankar Borse, Yizhe Zhang, Amin Ansari, Fatih Porikli
http://arxiv.org/abs/2110.12516v1

• [cs.CV]espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology
Scott H. Hawley, Andrew C. Morrison, Grant S. Morgan
http://arxiv.org/abs/2110.12261v1

• [cs.CY]An approach to optimize study programs using Discrete Event Simulation
Marcel Dröscher, Alpar Gür, Nicolas Rehbach
http://arxiv.org/abs/2110.12777v1

• [cs.CY]Definition and Implications of the Digital Near-Death Experience: A Theoretical Essay on Preliminary Empiricism
Pedro Jacome de Moura Jr
http://arxiv.org/abs/2110.12009v1

• [cs.CY]The Prevalence of Cybersecurity Misinformation on Social Media: Case Studies on Phishing Reports and Zoom’s Threats
Mohit Singhal, Nihal Kumarswamy, Shreyasi Kinhekar, Shirin Nilizadeh
http://arxiv.org/abs/2110.12296v1

• [cs.DC]A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
http://arxiv.org/abs/2110.12415v1

• [cs.DC]Accelerating Compact Fractals with Tensor Core GPUs
Felipe A. Quezada, Cristóbal A. Navarro
http://arxiv.org/abs/2110.12952v1

• [cs.DC]Causal Consistent Replication in Reversible Concurrent Calculi
Clément Aubert
http://arxiv.org/abs/2110.12697v1

• [cs.DC]Characterizing User and Provider Reported Cloud Failures
Mehmet Berk Cetin
http://arxiv.org/abs/2110.12237v1

• [cs.DC]Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà
http://arxiv.org/abs/2110.13042v1

• [cs.DC]Formal Guarantees of Timely Progress for Distributed Knowledge Propagation
Saswata Paul, Stacy Patterson, Carlos Varela
http://arxiv.org/abs/2110.12587v1

• [cs.DC]HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware
James Hegarty, Omar Eldash, Amr Suleiman, Armin Alaghi
http://arxiv.org/abs/2110.12106v1

• [cs.DC]New Bounds for the Flock-of-Birds Problem
Alexander Kozachinskiy
http://arxiv.org/abs/2110.12452v1

• [cs.DC]Operational Characterization of a Public Scientific Datacenter During and Beyond the COVID-19 Period
Mehmet Berk Cetin
http://arxiv.org/abs/2110.12244v1

• [cs.DC]Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery
Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna
http://arxiv.org/abs/2110.12511v1

• [cs.DC]RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework (Extended Version)
Pankaj Singh, Sudhakar Singh, P K Mishra, Rakhi Garg
http://arxiv.org/abs/2110.12012v1

• [cs.DC]Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
http://arxiv.org/abs/org/abs/2110.11927v1

• [cs.DC]Towards Demystifying Intra-Function Parallelism in Serverless Computing
Michael Kiener, Mohak Chadha, Michael Gerndt
http://arxiv.org/abs/2110.12090v1

• [cs.DS]Dynamic Influence Maximization
Binghui Peng
http://arxiv.org/abs/2110.12602v1

• [cs.DS]Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
Antonios Antoniadis, Christian Coester, Marek Eliáš, Adam Polak, Bertrand Simon
http://arxiv.org/abs/2110.13116v1

• [cs.GR]Stochastic Rounding for Image Interpolation and Scan Conversion
Olivier Rukundo
http://arxiv.org/abs/2110.12983v1

• [cs.GT]Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents
Farzaneh Farhadi, Maria Chli, Nicholas R. Jennings
http://arxiv.org/abs/2110.12846v1

• [cs.GT]Recommender Systems meet Mechanism Design
Yang Cai, Constantinos Daskalakis
http://arxiv.org/abs/2110.12558v1

• [cs.HC]Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
http://arxiv.org/abs/2110.12536v1

• [cs.HC]Normative Epistemology for Lethal Autonomous Weapons Systems
Susannah Kate Devitt
http://arxiv.org/abs/2110.12935v1

• [cs.IR]Content Filtering Enriched GNN Framework for News Recommendation
Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
http://arxiv.org/abs/2110.12681v1

• [cs.IR]DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chongkwon Kim
http://arxiv.org/abs/2110.12648v1

• [cs.IR]Developing a Meta-suggestion Engine for Search Query
Seungmin Kim, EunChan Na, Seong Baeg Kim
http://arxiv.org/abs/2110.12594v1

• [cs.IR]PaperFetcher: A tool to automate handsearch for systematic reviews
Akash Pallath, Qiyang Zhang
http://arxiv.org/abs/2110.12490v1

• [cs.IR]Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
http://arxiv.org/abs/2110.12141v1

• [cs.IR]Towards the D-Optimal Online Experiment Design for Recommender Selection
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
http://arxiv.org/abs/2110.12132v1

• [cs.IT]Algorithms for the Communication of Samples
Lucas Theis, Noureldin Yosri
http://arxiv.org/abs/2110.12805v1

• [cs.IT]Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G
Zhenyu Xiao, Zhu Han, Arumugam Nallanathan, Octavia A. Dobre, Bruno Clerckx, Jinho Choi, Chong He, Wen Tong
http://arxiv.org/abs/2110.12610v1

• [cs.IT]Duals of linearized Reed-Solomon codes
Xavier Caruso, Amaury Durand
http://arxiv.org/abs/2110.12675v1

• [cs.IT]Fronthaul Compression for Uplink Massive MIMO using Matrix Decomposition
Aswathylakshmi P, Radha Krishna Ganti
http://arxiv.org/abs/2110.12532v1

• [cs.IT]Generalized Polarization Transform: A Novel Coded Transmission Paradigm
Jincheng Dai, Dexin Zhang, Kai Niu, Zhongwei Si, Ping Zhang, Sen Wang, Yifei Yuan, Chih-Lin I
http://arxiv.org/abs/2110.12224v1

• [cs.IT]High-Speed Trains Access Connectivity Through RIS-Assisted FSO Communications
Pouya Agheli, Hamzeh Beyranvand, Mohammad Javad Emadi
http://arxiv.org/abs/2110.12804v1

• [cs.IT]Information-Theoretic Limits of Integrated Sensing and Communication with Correlated Sensing and Channel States
Yao Liu, Min Li, An Liu, Jianmin Lu, Tony Xiao Han
http://arxiv.org/abs/2110.12683v1

• [cs.IT]Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix
Run Wang, Xiaotian Zhou, Wei Li, Zhongzhi Zhang
http://arxiv.org/abs/2110.12576v1

• [cs.IT]On Throughput Bounds of NOMA-ALOHA
Jinho Choi
http://arxiv.org/abs/2110.12530v1

• [cs.IT]Optimal Transmit Beamforming for Secrecy Integrated Sensing and Communication
Zixiang Ren, Ling Qiu, Jie Xu
http://arxiv.org/abs/2110.12945v1

• [cs.IT]Problems with information theoretic approaches to causal learning
Nithin Nagaraj
http://arxiv.org/abs/2110.12497v1

• [cs.IT]RIS-aided Massive MIMO: Achieving Large Multiplexing Gains with non-Large Arrays
Stefano Buzzi, Carmen D’Andrea, Giovanni Interdonato
http://arxiv.org/abs/2110.12800v1

• [cs.IT]Random Matrix based Physical Layer Secret Key Generation in Static Channels
Zhuangkun Wei, Weisi Guo
http://arxiv.org/abs/2110.12785v1

• [cs.IT]Scalable Channel Estimation and Reflection Optimization for Reconfigurable Intelligent Surface-Enhanced OFDM Systems
Jiancheng An, Qingqing Wu, Chau Yuen
http://arxiv.org/abs/2110.12799v1

• [cs.IT]Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
http://arxiv.org/abs/2110.12059v1

• [cs.IT]Ultra-Dense LEO Satellite-based Communication Systems: A Novel Modeling Technique
Ruibo Wang, Mustafa A. Kishk, Mohamed-Slim Alouini
http://arxiv.org/abs/2110.12938v1

• [cs.IT]Variational Probabilistic Multi-Hypothesis Tracking
Shuoyuan Xu, Hyo-Sang Shin, Antonios Tsourdos
http://arxiv.org/abs/2110.11954v1

• [cs.LG]A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang, Arlei Silva, Ambuj Singh
http://arxiv.org/abs/2110.12344v1

• [cs.LG]A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness
Chang Song, Riya Ranjan, Hai Li
http://arxiv.org/abs/2110.12308v1

• [cs.LG]A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
http://arxiv.org/abs/2110.12024v1

• [cs.LG]AFEC: Active Forgetting of Negative Transfer in Continual Learning
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
http://arxiv.org/abs/2110.12187v1

• [cs.LG]Adaptive Data Debiasing through Bounded Exploration and Fairness
Yifan Yang, Yang Liu, Parinaz Naghizadeh
http://arxiv.org/abs/2110.13054v1

• [cs.LG]Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong
http://arxiv.org/abs/2110.12752v1

• [cs.LG]Alignment Attention by Matching Key and Query Distributions
Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou
http://arxiv.org/abs/2110.12567v1

• [cs.LG]Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bahr, Jurgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
http://arxiv.org/abs/2110.13041v1

• [cs.LG]AutoMTL: A Programming Framework for Automated Multi-Task Learning
Lijun Zhang, Xiao Liu, Hui Guan
http://arxiv.org/abs/2110.13076v1

• [cs.LG]C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez
http://arxiv.org/abs/2110.12080v1

• [cs.LG]Can Q-Learning be Improved with Advice?
Noah Golowich, Ankur Moitra
http://arxiv.org/abs/2110.13052v1

• [cs.LG]Coarse-Grained Smoothness for RL in Metric Spaces
Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman
http://arxiv.org/abs/2110.12276v1

• [cs.LG]Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
Hsu Kao, Vijay Subramanian
http://arxiv.org/abs/2110.12603v1

• [cs.LG]ConformalLayers: A non-linear sequential neural network with associative layers
Eduardo Vera Sousa, Leandro A. F. Fernandes, Cristina Nader Vasconcelos
http://arxiv.org/abs/2110.12108v1

• [cs.LG]Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai, Weiran Wang, Carla Gomes
http://arxiv.org/abs/2110.12091v1

• [cs.LG]DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
http://arxiv.org/abs/2110.12884v1

• [cs.LG]DP-XGBoost: Private Machine Learning at Scale
Nicolas Grislain, Joan Gonzalvez
http://arxiv.org/abs/2110.12770v1

• [cs.LG]Debiasing Credit Scoring using Evolutionary Algorithms
Nigel Kingsman
http://arxiv.org/abs/2110.12838v1

• [cs.LG]Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Zitong Zhou, Nicholas Zabaras, Daniel M. Tartakovsky
http://arxiv.org/abs/2110.12367v1

• [cs.LG]Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
Mahak Kothari, Shreyansh Joshi, Adarsh Nandanwar, Aadetya Jaiswal, Veeky Baths
http://arxiv.org/abs/2110.12503v1

• [cs.LG]Detecting Wandering Behavior of People with Dementia
Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek
http://arxiv.org/abs/2110.13128v1

• [cs.LG]Detecting model drift using polynomial relations
Eliran Roffe, Samuel Ackerman, Orna Raz, Eitan Farchi
http://arxiv.org/abs/2110.12506v1

• [cs.LG]Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
Yu Wang, Charu Aggarwal, Tyler Derr
http://arxiv.org/abs/2110.12035v1

• [cs.LG]Domain Adaptation via Maximizing Surrogate Mutual Information
Haiteng Zhao, Chang Ma, Qinyu Chen, Zhihong Deng
http://arxiv.org/abs/2110.12184v1

• [cs.LG]Employing chunk size adaptation to overcome concept drift
Jędrzej Kozal, Filip Guzy, Michał Woźniak
http://arxiv.org/abs/2110.12881v1

• [cs.LG]Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow
Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan
http://arxiv.org/abs/2110.12359v1

• [cs.LG]Event Detection on Dynamic Graphs
Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj Singh
http://arxiv.org/abs/2110.12148v1

• [cs.LG]Fair Enough: Searching for Sufficient Measures of Fairness
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
http://arxiv.org/abs/2110.13029v1

• [cs.LG]Fairness Degrading Adversarial Attacks Against Clustering Algorithms
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
http://arxiv.org/abs/2110.12020v1

• [cs.LG]Fairness in Missing Data Imputation
Yiliang Zhang, Qi Long
http://arxiv.org/abs/2110.12002v1

• [cs.LG]Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
http://arxiv.org/abs/2110.12292v1

• [cs.LG]Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
Tianqi Shen, Hong Zhang, Ding Yuan, Jiaping Xiao, Yifan Yang
http://arxiv.org/abs/2110.12144v1

• [cs.LG]Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning
Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote
http://arxiv.org/abs/2110.12306v1

• [cs.LG]Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti, Ramasuri Narayanam
http://arxiv.org/abs/2110.12257v1

• [cs.LG]Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang
http://arxiv.org/abs/2110.12985v1

• [cs.LG]Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
http://arxiv.org/abs/2110.13094v1

• [cs.LG]Group-disentangled Representation Learning with Weakly-Supervised Regularization
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari
http://arxiv.org/abs/2110.12185v1

• [cs.LG]Hierarchical Few-Shot Generative Models
Giorgio Giannone, Ole Winther
http://arxiv.org/abs/2110.12279v1

• [cs.LG]IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search
Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor
http://arxiv.org/abs/2110.12399v1

• [cs.LG]Improving Spectral Clustering Using Spectrum-Preserving Node Reduction
Yongyu Wang
http://arxiv.org/abs/2110.12328v1

• [cs.LG]In Search of Probeable Generalization Measures
Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis
http://arxiv.org/abs/2110.12259v1

• [cs.LG]Instance-Dependent Partial Label Learning
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
http://arxiv.org/abs/2110.12911v1

• [cs.LG]Kernel density estimation-based sampling for neural network classification
Firuz Kamalov, Ashraf Elnagar
http://arxiv.org/abs/2110.12644v1

• [cs.LG]Kernelized Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
http://arxiv.org/abs/2110.12425v1

• [cs.LG]Latent-Insensitive Autoencoders for Anomaly Detection and Class-Incremental Learning
Muhammad S. Battikh, Artem A. Lenskiy
http://arxiv.org/abs/2110.13101v1

• [cs.LG]Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
http://arxiv.org/abs/2110.12727v1

• [cs.LG]Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning
Alper Demir
http://arxiv.org/abs/2110.12810v1

• [cs.LG]Learning convex regularizers satisfying the variational source condition for inverse problems
Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
http://arxiv.org/abs/2110.12520v1

• [cs.LG]Learning curves for Gaussian process regression with power-law priors and targets
Hui Jin, Pradeep Kr. Banerjee, Guido Montúfar
http://arxiv.org/abs/2110.12231v1

• [cs.LG]Learning to Estimate Without Bias
Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
http://arxiv.org/abs/2110.12403v1

• [cs.LG]Least Square Calibration for Peer Review
Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
http://arxiv.org/abs/2110.12607v1

• [cs.LG]Linear Contextual Bandits with Adversarial Corruptions
Heyang Zhao, Dongruo Zhou, Quanquan Gu
http://arxiv.org/abs/2110.12615v1

• [cs.LG]ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer’s Disease
Yash Kumar, Piyush Maheshwari, Shreyansh Joshi, Veeky Baths
http://arxiv.org/abs/2110.13023v1

• [cs.LG]Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete
http://arxiv.org/abs/2110.12301v1

• [cs.LG]Micro Batch Streaming: Allowing the Training of DNN models Using a large batch size on Small Memory Systems
DoangJoo Synn, XinYu Piao, JooYoung Park, Jong-Kook Kim
http://arxiv.org/abs/2110.12484v1

• [cs.LG]Mixture-of-Variational-Experts for Continual Learning
Heinke Hihn, Daniel A. Braun
http://arxiv.org/abs/2110.12667v1

• [cs.LG]Multi-armed Bandit Algorithm against Strategic Replication
Suho Shin, Seungjoon Lee, Jungseul Ok
http://arxiv.org/abs/2110.12160v1

• [cs.LG]Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
Ali Yazdizadeh, Arash Kalatian, Zachary Patterson, Bilal Farooq
http://arxiv.org/abs/2110.12113v1

• [cs.LG]Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning
Siddharth Singh, Abhinav Bhatele
http://arxiv.org/abs/2110.13005v1

• [cs.LG]Neural Flows: Efficient Alternative to Neural ODEs
Marin Biloš, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
http://arxiv.org/abs/2110.13040v1

• [cs.LG]Non-Asymptotic Error Bounds for Bidirectional GANs
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
http://arxiv.org/abs/2110.12319v1

• [cs.LG]Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
http://arxiv.org/abs/2110.12459v1

• [cs.LG]Off-Policy Evaluation in Partially Observed Markov Decision Processes
Yuchen Hu, Stefan Wager
http://arxiv.org/abs/2110.12343v1

• [cs.LG]Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
http://arxiv.org/abs/2110.12081v1

• [cs.LG]On Slowly-varying Non-stationary Bandits
Ramakrishnan Krishnamurthy, Aditya Gopalan
http://arxiv.org/abs/2110.12916v1

• [cs.LG]On the Tractability of Neural Causal Inference
Matej Zečević, Devendra Singh Dhami, Kristian Kersting
http://arxiv.org/abs/2110.12052v1

• [cs.LG]Online estimation and control with optimal pathlength regret
Gautam Goel, Babak Hassibi
http://arxiv.org/abs/2110.12544v1

• [cs.LG]Operator Augmentation for Model-based Policy Evaluation
Xun Tang, Lexing Ying, Yuhua Zhu
http://arxiv.org/abs/2110.12658v1

• [cs.LG]Optimal Model Averaging: Towards Personalized Collaborative Learning
Felix Grimberg, Mary-Anne Hartley, Sai P. Karimireddy, Martin Jaggi
http://arxiv.org/abs/2110.12946v1

• [cs.LG]Optimization-Based GenQSGD for Federated Edge Learning
Yangchen Li, Ying Cui, Vincent Lau
http://arxiv.org/abs/2110.12987v1

• [cs.LG]PROMPT: Parallel Iterative Algorithm for norm linear regression via Majorization Minimization with an application to semi-supervised graph learning
R. Jyothi, P. Babu
http://arxiv.org/abs/2110.12190v1

• [cs.LG]Parameter Prediction for Unseen Deep Architectures
Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano
http://arxiv.org/abs/2110.13100v1

• [cs.LG]Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL
Soumya Rani Samineni
http://arxiv.org/abs/2110.12239v1

• [cs.LG]QuantifyML: How Good is my Machine Learning Model?
Muhammad Usman, Divya Gopinath, Corina S. Păsăreanu
http://arxiv.org/abs/2110.12588v1

• [cs.LG]Quantifying Epistemic Uncertainty in Deep Learning
Ziyi Huang, Henry Lam, Haofeng Zhang
http://arxiv.org/abs/2110.12122v1

• [cs.LG]ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn
http://arxiv.org/abs/2110.11960v1

• [cs.LG]Recurrent Off-policy Baselines for Memory-based Continuous Control
Zhihan Yang, Hai Nguyen
http://arxiv.org/abs/2110.12628v1

• [cs.LG]Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
http://arxiv.org/abs/2110.12381v1

• [cs.LG]Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam Fowl, Jonas Geiping, Wojtek Czaja, Micah Goldblum, Tom Goldstein
http://arxiv.org/abs/2110.13057v1

• [cs.LG]SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
http://arxiv.org/abs/2110.12468v1

• [cs.LG]SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
http://arxiv.org/abs/2110.12763v1

• [cs.LG]Safely Bridging Offline and Online Reinforcement Learning
Wanqiao Xu, Kan Xu, Hamsa Bastani, Osbert Bastani
http://arxiv.org/abs/2110.13060v1

• [cs.LG]Scalable Lipschitz Residual Networks with Convex Potential Flows
Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
http://arxiv.org/abs/2110.12690v1

• [cs.LG]Scalable Smartphone Cluster for Deep Learning
Byunggook Na, Jaehee Jang, Seongsik Park, Seijoon Kim, Joonoo Kim, Moon Sik Jeong, Kwang Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon
http://arxiv.org/abs/2110.12172v1

• [cs.LG]Scaling Neural Program Synthesis with Distribution-based Search
Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta
http://arxiv.org/abs/2110.12485v1

• [cs.LG]Scientific Machine Learning Benchmarks
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox, Tony Hey
http://arxiv.org/abs/2110.12773v1

• [cs.LG]Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf
http://arxiv.org/abs/2110.12951v1

• [cs.LG]Self-Consistent Models and Values
Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver
http://arxiv.org/abs/2110.12840v1

• [cs.LG]SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
http://arxiv.org/abs/2110.12377v1

• [cs.LG]Shift of Pairwise Similarities for Data Clustering
Morteza Haghir Chehreghani
http://arxiv.org/abs/2110.13103v1

• [cs.LG]Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay
http://arxiv.org/abs/2110.12976v1

• [cs.LG]The Countable-armed Bandit with Vanishing Arms
Anand Kalvit, Assaf Zeevi
http://arxiv.org/abs/2110.12118v1

• [cs.LG]The Efficiency Misnomer
Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay
http://arxiv.org/abs/2110.12894v1

• [cs.LG]Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-man Cheung, Yuval Elovici, Alexander Binder
http://arxiv.org/abs/2110.12357v1

• [cs.LG]Towards a Robust Differentiable Architecture Search under Label Noise
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
http://arxiv.org/abs/2110.12197v1

• [cs.LG]Understanding the World Through Action
Sergey Levine
http://arxiv.org/abs/2110.12543v1

• [cs.LG]Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
http://arxiv.org/abs/2110.12997v1

• [cs.LG]Vector Optimization with Stochastic Bandit Feedback
Çağın Ararat, Cem Tekin
http://arxiv.org/abs/2110.12311v1

• [cs.LG]What Would Jiminy Cricket Do? Towards Agents That Behave Morally
Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
http://arxiv.org/abs/2110.13136v1

• [cs.LG]Which Model To Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks
Giacomo Arcieri, David Wölfle, Eleni Chatzi
http://arxiv.org/abs/2110.13079v1

• [cs.LG]ZerO Initialization: Initializing Residual Networks with only Zeros and Ones
Jiawei Zhao, Florian Schäfer, Anima Anandkumar
http://arxiv.org/abs/2110.12661v1

• [cs.LO]Towards Partial Monitoring: It is Always too Soon to Give Up
Angelo Ferrando, Rafael C. Cardoso
http://arxiv.org/abs/2110.12585v1

• [cs.NE]Conditional Generation of Periodic Signals with Fourier-Based Decoder
Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi
http://arxiv.org/abs/2110.12365v1

• [cs.NE]Evolutionary Optimization of High-Coverage Budgeted Classifiers
Nolan H. Hamilton, Errin W. Fulp
http://arxiv.org/abs/2110.13067v1

• [cs.NI]A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services
Valentino Armani, Francescomaria Faticanti, Silvio Cretti, Seungwoo Kum, Domenico Siracusa
http://arxiv.org/abs/2110.12788v1

• [cs.RO]A Differentiable Newton-Euler Algorithm for Real-World Robotics
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
http://arxiv.org/abs/2110.12422v1

• [cs.RO]Adaptive Control of Underactuated Planar Pronking Hexapod
Güner Dilşad Er, Mustafa Mert Ankaralı
http://arxiv.org/abs/2110.12260v1

• [cs.RO]Characterizing The Limits of Linear Modeling of Non-Linear Swarm Behaviors
John Harwell, Angel Sylvester, Maria Gini
http://arxiv.org/abs/2110.12307v1

• [cs.RO]CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction
Viktor Rakhmatulin, Miguel Altamirano Cabrera, Fikre Hagos, Oleg Sautenkov, Jonathan Tirado, Ighor Uzhinsky, Dzmitry Tsetserukou
http://arxiv.org/abs/2110.12940v1

• [cs.RO]Contact Information Flow and Design of Compliance
Kevin Haninger, Marcel Radke, Richard Hartisch, Jörg Krüger
http://arxiv.org/abs/2110.12435v1

• [cs.RO]DiffSRL: Learning Dynamic-aware State Representation for Deformable Object Control with Differentiable Simulator
Sirui Chen, Yunhao Liu, Jialong Li, Shang Wen Yao, Tingxiang Fan, Jia Pan
http://arxiv.org/abs/2110.12352v1

• [cs.RO]Fast High-Quality Tabletop Rearrangement in Bounded Workspace
Kai Gao, Darren Lau, Baichuan Huang, Kostas E. Bekris, Jingjin Yu
http://arxiv.org/abs/2110.12325v1

• [cs.RO]Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation
Neel Shihora, Rashid M. Yasin, Ryan Walsh, Nabil Simaan
http://arxiv.org/abs/2110.12078v1

• [cs.RO]GraspLook: a VR-based Telemanipulation System with R-CNN-driven Augmentation of Virtual Environment
Polina Ponomareva, Daria Trinitatova, Aleksey Fedoseev, Ivan Kalinov, Dzmitry Tsetserukou
http://arxiv.org/abs/2110.12518v1

• [cs.RO]Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
Xiang Zhang, Shiyu Jin, Changhao Wang, Xinghao Zhu, Masayoshi Tomizuka
http://arxiv.org/abs/2110.12618v1

• [cs.RO]Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
Kevin Haninger, Christian Hegeler, Luka Peternel
http://arxiv.org/abs/2110.12433v1

• [cs.RO]Path Planning of a Spin-Rolling Sphere on a Plane
Seyed Amir Tafrishi, Mikhail Svinin, Motoji Yamamoto, Yasuhisa Hirata
http://arxiv.org/abs/2110.12397v1

• [cs.RO]Simulation and Model Checking for Close to Realtime Overtaking Planning
Daumantas Pagojus, Alice Miller, Bernd Porr, Ivaylo Valkov
http://arxiv.org/abs/2110.12577v1

• [cs.RO]WOLF: A modular estimation framework for robotics based on factor graphs
Joan Sola, Joan Vallve-Navarro, Joaquim Casals, Jeremie Deray, Mederic Fourmy, Dinesh Atchuthan, Juan Andrade-Cetto
http://arxiv.org/abs/2110.12919v1

• [cs.RO]Where were my keys? — Aggregating Spatial-Temporal Instances of Objects for Efficient Retrieval over Long Periods of Time
Ifrah Idrees, Zahid Hasan, Steven P. Reiss, Stefanie Tellex
http://arxiv.org/abs/2110.13061v1

• [cs.SD]A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments
Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
http://arxiv.org/abs/2110.12778v1

• [cs.SD]Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience
Wei-Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su
http://arxiv.org/abs/2110.12855v1

• [cs.SD]DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021
Yanqing Liu, Zhihang Xu, Gang Wang, Kuan Chen, Bohan Li, Xu Tan, Jinzhu Li, Lei He, Sheng Zhao
http://arxiv.org/abs/2110.12612v1

• [cs.SD]Discrete acoustic space for an efficient sampling in neural text-to-speech
Marek Strelec, Jonas Rohnke, Antonio Bonafonte, Mateusz Łajszczak, Trevor Wood
http://arxiv.org/abs/2110.12539v1

• [cs.SD]Unsupervised Source Separation By Steering Pretrained Music Models
Ethan Manilow, Patrick O’Reilly, Prem Seetharaman, Bryan Pardo
http://arxiv.org/abs/2110.13071v1

• [cs.SE]A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis
Sina Gholamian, Paul A. S. Ward
http://arxiv.org/abs/2110.12489v1

• [cs.SE]Complete Agent-driven Model-based System Testing for Autonomous Systems
Kerstin I. Eder, Wen-ling Huang, Jan Peleska
http://arxiv.org/abs/2110.12586v1

• [cs.SE]Complete Test of Synthesised Safety Supervisors for Robots and Autonomous Systems
Mario Gleirscher, Jan Peleska
http://arxiv.org/abs/2110.12589v1

• [cs.SI]Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence
Rohit Ram, Marian-Andrei Rizoiu
http://arxiv.org/abs/2110.12569v1

• [cs.SI]How to Quantify Polarization in Models of Opinion Dynamics
Christopher Musco, Indu Ramesh, Johan Ugander, R. Teal Witter
http://arxiv.org/abs/2110.11981v1

• [cs.SI]NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization
Yuyang Xie, Jiezhong Qiu, Wenjian Yu, Xu Feng, Yuxiang Chen, Jie Tang
http://arxiv.org/abs/2110.12782v1

• [cs.SI]Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem
S. Casale-Brunet, P. Ribeca, P. Doyle, M. Mattavelli
http://arxiv.org/abs/2110.12545v1

• [cs.SI]Towards User Engagement Dynamics in Social Networks
Qingyuan Linghu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang
http://arxiv.org/abs/2110.12193v1

• [econ.EM]Functional instrumental variable regression with an application to estimating the impact of immigration on native wages
Dakyung Seong, Won-Ki Seo
http://arxiv.org/abs/2110.12722v1

• [econ.EM]On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints
Abhishek K. Umrawal, Joshua C. C. Chan
http://arxiv.org/abs/2110.12149v1

• [eess.IV]“One-Shot” Reduction of Additive Artifacts in Medical Images
Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, Jian Zhuang
http://arxiv.org/abs/2110.12274v1

• [eess.IV]Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI Should Different Clinical Objectives Mandate Different Loss Functions?
Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan Huisman
http://arxiv.org/abs/2110.12889v1

• [eess.IV]Automatic segmentation of novel coronavirus pneumonia lesions in CT images utilizing deep-supervised ensemble learning network
Yuanyuan Peng, Zixu Zhang, Hongbin Tu, Xiong Li
http://arxiv.org/abs/2110.12827v1

• [eess.IV]Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset
Abdurrahim Yilmaz, Mucahit Kalebasi, Yegor Samoylenko, Mehmet Erhan Guvenilir, Huseyin Uvet
http://arxiv.org/abs/2110.12270v1

• [eess.IV]Dense Dual-Attention Network for Light Field Image Super-Resolution
Yu Mo, Yingqian Wang, Chao Xiao, Jungang Yang, Wei An
http://arxiv.org/abs/2110.12114v1

• [eess.IV]Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images
Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian
http://arxiv.org/abs/2110.12192v1

• [eess.IV]Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images
Jiahua Xu, Philipp Ernst, Tung Lung Liu, Andreas Nürnberger
http://arxiv.org/abs/2110.13036v1

• [eess.IV]Generative Residual Attention Network for Disease Detection
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
http://arxiv.org/abs/2110.12984v1

• [eess.IV]Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
Helena Williams, João Pedrosa, Laura Cattani, Susanne Housmans, Tom Vercauteren, Jan Deprest, Jan D’hooge
http://arxiv.org/abs/2110.12939v1

• [eess.IV]Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network
Ramin Nateghi, Fattaneh Pourakpour
http://arxiv.org/abs/2110.12283v1

• [eess.IV]Raw Bayer Pattern Image Synthesis with Conditional GAN
Zhou Wei
http://arxiv.org/abs/2110.12823v1

• [eess.IV]Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
Tuomo Kalliokoski
http://arxiv.org/abs/2110.12464v1

• [eess.IV]Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds
Li-Hsin Cheng, Pablo B. J. Bosch, Rutger F. H. Hofman, Timo B. Brakenhoff, Eline F. Bruggemans, Rob J. van der Geest, Eduard R. Holman
http://arxiv.org/abs/2110.12915v1

• [eess.IV]Uncertainty-Aware Lung Nodule Segmentation with Multiple Annotations
Qiuli Wang, Han Yang, Lu Shen, Mengke Zhang
http://arxiv.org/abs/2110.12372v1

• [eess.IV]Vertebrae segmentation, identification and localization using a graph optimization and a synergistic cycle
Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades
http://arxiv.org/abs/2110.12177v1

• [eess.SP]Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
Sungho Suh, Vitor Fortes Rey, Paul Lukowicz
http://arxiv.org/abs/2110.12163v1

• [eess.SP]Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)
Cheng Cheng, Wei Dai
http://arxiv.org/abs/2110.12786v1

• [eess.SY]Integrated Task and Motion Planning for Safe Legged Navigation in Partially Observable Environments
Abdulaziz Shamsah, Jonas Warnke, Zhaoyuan Gu, Ye Zhao
http://arxiv.org/abs/2110.12097v1

• [eess.SY]Neural ODE and DAE Modules for Power System Dynamic Modeling
Tannan Xiao, Ying Chen, Tirui He, Huizhe Guan
http://arxiv.org/abs/2110.12981v1

• [math.NA]A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition
Chuanfu Xiao, Chao Yang
http://arxiv.org/abs/2110.12564v1

• [math.NA]WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
Matthew J. Colbrook
http://arxiv.org/abs/2110.12437v1

• [math.OC]Accelerated Almost-Sure Convergence Rates for Nonconvex Stochastic Gradient Descent using Stochastic Learning Rates
Theodoros Mamalis, Dusan Stipanovic, Petros Voulgaris
http://arxiv.org/abs/2110.12634v1

• [math.OC]Acceleration in Distributed Optimization Under Similarity
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov
http://arxiv.org/abs/2110.12347v1

• [math.OC]Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems
Alessandro Scagliotti
http://arxiv.org/abs/2110.12393v1

• [math.OC]On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization
Yuetian Luo, Xudong Li, Anru R. Zhang
http://arxiv.org/abs/2110.12121v1

• [math.PR]On quantitative Laplace-type convergence results for some exponential probability measures, with two applications
Valentin De Bortoli, Agnès Desolneux
http://arxiv.org/abs/2110.12922v1

• [math.PR]The Eigenvectors of Single-spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
Prathapasinghe Dharmawansa, Pasan Dissanayake, Yang Chen
http://arxiv.org/abs/2110.11996v1

• [math.ST]A new semi-parametric estimator for LARCH processes
Jean-Marc Bardet
http://arxiv.org/abs/2110.12721v1

• [math.ST]Minimax rates for sparse signal detection under correlation
Subhodh Kotekal, Chao Gao
http://arxiv.org/abs/2110.12966v1

• [math.ST]Over-Conservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation
Yuanlu Bai, Zhiyuan Huang, Henry Lam, Ding Zhao
http://arxiv.org/abs/2110.12573v1

• [math.ST]Robust Strongly Convergent M-Estimators Under Non-IID Assumption
K. P. Chowdhury
http://arxiv.org/abs/2110.12526v1

• [math.ST]Sufficient reductions in regression with mixed predictors
Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
http://arxiv.org/abs/2110.13091v1

• [math.ST]Universally consistent estimation of the reach
Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
http://arxiv.org/abs/2110.12208v1

• [math.ST]Why Machine Learning Cannot Ignore Maximum Likelihood Estimation
Mark J. van der Laan, Sherri Rose
http://arxiv.org/abs/2110.12112v1

• [physics.geo-ph]An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
Yohei Sawada
http://arxiv.org/abs/2110.12522v1

• [physics.soc-ph]Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Chao Fan, Yang Yang, Ali Mostafavi
http://arxiv.org/abs/2110.12371v1

• [q-bio.GN]RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data
Xinlei Mi, William Bekerman, Peter A. Sims, Peter D. Canoll, Jianhua Hu
http://arxiv.org/abs/2110.12964v1

• [q-bio.NC]Stochastic facilitation in heteroclinic communication channels
Giovanni Sirio Carmantini, Fabio Schittler Neves, Marc Timme, Serafim Rodrigues
http://arxiv.org/abs/2110.12221v1

• [q-bio.NC]Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus
http://arxiv.org/abs/2110.12392v1

• [q-bio.QM]De Novo Molecular Generation with Stacked Adversarial Model
Yuansan Liu, James Bailey
http://arxiv.org/abs/2110.12454v1

• [quant-ph]Boson sampling discrete solitons by quantum machine learning
Claudio Conti
http://arxiv.org/abs/2110.12379v1

• [quant-ph]Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints
Yanlin Chen, Ronald de Wolf
http://arxiv.org/abs/2110.13086v1

• [quant-ph]Quantum Boosting using Domain-Partitioning Hypotheses
Debajyoti Bera, Sagnik Chatterjee
http://arxiv.org/abs/2110.12793v1

• [stat.AP]Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures
Joshua R. Nugent, Laura B. Balzer
http://arxiv.org/abs/2110.12529v1

• [stat.AP]Inferring the sources of HIV infection in Africa from deep sequence data with semi-parametric Bayesian Poisson flow models
Xiaoyue Xi, Simon EF Spencer, Matthew Hall, M Kate Grabowski, Joseph Kagaayi, Oliver Ratmann
http://arxiv.org/abs/2110.12273v1

• [stat.AP]Pandemic model with data-driven phase detection, a study using COVID-19 data
Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad
http://arxiv.org/abs/2110.12450v1

• [stat.CO]Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
Henry Lam, Haofeng Zhang
http://arxiv.org/abs/2110.12131v1

• [stat.CO]Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes
James A. Scott, Axel Gandy, Swapnil Mishra, Samir Bhatt, Seth Flaxman, H. Juliette T. Unwin, Jonathan Ish-Horowicz
http://arxiv.org/abs/2110.12461v1

• [stat.ME]A repeated measures approach to pooled and calibrated biomarker data
Abigail Sloan, Chao Cheng, Bernard Rosner, Regina G. Ziegler, Stephanie A. Smith-Warner, Molin Wang
http://arxiv.org/abs/2110.13077v1

• [stat.ME]Adjusting for unobserved confounding using large-scale propensity scores
Linying Zhang, Yixin Wang, Martijn Schuemie, David Blei, George Hripcsak
http://arxiv.org/abs/2110.12235v1

• [stat.ME]Applying Regression Conformal Prediction with Nearest Neighbors to time series data
Samya Tajmouati, Bouazza El Wahbi, Mohammed Dakkoun
http://arxiv.org/abs/2110.13031v1

• [stat.ME]Bayesian Analysis of Stochastic Volatility Model using Finite Gaussian Mixtures with Unknown Number of Components
Soham Mukherjee
http://arxiv.org/abs/2110.12824v1

• [stat.ME]Communication-Efficient Distributed Quantile Regression with Optimal Statistical Guarantees
Heather Battey, Kean Ming Tan, Wen-Xin Zhou
http://arxiv.org/abs/2110.13113v1

• [stat.ME]Compositional data analysis — linear algebra, visualization and interpretation
Michael Greenacre
http://arxiv.org/abs/2110.12439v1

• [stat.ME]Conjugate priors for count and rounded data regression
Daniel R. Kowal
http://arxiv.org/abs/2110.12316v1

• [stat.ME]Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response
Jue Hou, Rajarshi Mukherjee, Tianxi Cai
http://arxiv.org/abs/2110.12336v1

• [stat.ME]Erlang mixture modeling for Poisson process intensities
Hyotae Kim, Athanasios Kottas
http://arxiv.org/abs/2110.12513v1

• [stat.ME]Faster estimation for constrained gamma mixture models using closed-form estimators
Jiangmei Xiong, Eliot McKinley, Joseph T. Roland, Robert Coffey, Martha J. Shrubsole, Ken S. Lau, Simon Vandekar
http://arxiv.org/abs/2110.13074v1

• [stat.ME]Imprecise Subset Simulation
Dimitris G. Giovanis, Michael Shields
http://arxiv.org/abs/2110.11955v1

• [stat.ME]Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling
Luis Alejandro Masmela-Caita, Thais Paiva Galletti, Marcos Oliveira Prates
http://arxiv.org/abs/2110.12514v1

• [stat.ME]L-2 Regularized maximum likelihood for -model in large and sparse networks
Yu Zhang, Qiuping Wang, Yuan Zhang, Ting Yan, Jing Luo
http://arxiv.org/abs/2110.11856v2

• [stat.ME]Local Independence Testing for Point Processes
Nikolaj Thams, Niels Richard Hansen
http://arxiv.org/abs/2110.12709v1

• [stat.ME]MOVER confidence intervals for a difference or ratio effect parameter under stratified sampling
Yongqiang Tang
http://arxiv.org/abs/2110.12636v1

• [stat.ME]Minimax estimation of Functional Principal Components from noisy discretized functional data
Ryad Belhakem, Franck Picard, Vincent Rivoirard, Angelina Roche
http://arxiv.org/abs/2110.12739v1

• [stat.ME]Nested : Assessing Convergence for Markov chain Monte Carlo when using many short chains
Charles C. Margossian, Matthew D. Hoffman, Pavel Sountsov
http://arxiv.org/abs/2110.13017v1

• [stat.ME]Partially Intervenable Causal Models
AmirEmad Ghassami, Ilya Shpitser
http://arxiv.org/abs/2110.12541v1

• [stat.ME]Poisson-modification of the Quasi Lindley distribution and its zero modification for over-dispersed count data
Ramajeyam Tharshan, Pushpakanthie Wijekoon
http://arxiv.org/abs/2110.13004v1

• [stat.ME]Post-Regularization Confidence Bands for Ordinary Differential Equations
Xiaowu Dai, Lexin Li
http://arxiv.org/abs/2110.12510v1

• [stat.ME]Prior Intensified Information Criterion
Yoshiyuki Ninomiya
http://arxiv.org/abs/2110.12145v1

• [stat.ME]Robust Variable Selection under Cellwise Contamination
Peng Su, Garth Tarr, Samuel Muller
http://arxiv.org/abs/2110.12406v1

• [stat.ME]Sparse varying-coefficient functional linear model
Hidetoshi Matsui
http://arxiv.org/abs/2110.12599v1

• [stat.ME]Treatment effect validation via a permutation test in Stata
Christis Katsouris
http://arxiv.org/abs/2110.12268v1

• [stat.ME]Weighted Mean Difference Statistics for Paired Data in Presence of Missing Values
Yuntong Li, Brent J. Shelton, William St Clair, Heidi L. Weiss, John L. Villano, Arnold J. Stromberg, Chi Wang, Li Chen
http://arxiv.org/abs/2110.12582v1

• [stat.ML]Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits
Hongju Park, Mohamad Kazem Shirani Faradonbeh
http://arxiv.org/abs/2110.12175v1

• [stat.ML]Fast Rank-1 NMF for Missing Data with KL Divergence
Kazu Ghalamkari, Mahito Sugiyama
http://arxiv.org/abs/2110.12595v1

• [stat.ML]Generalized Resubstitution for Classification Error Estimation
Parisa Ghane, Ulisses Braga-Neto
http://arxiv.org/abs/2110.12285v1

• [stat.ML]Gradient-based Quadratic Multiform Separation
Wen-Teng Chang
http://arxiv.org/abs/2110.13006v1

• [stat.ML]Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
http://arxiv.org/abs/2110.12907v1

• [stat.ML]Integrated Conditional Estimation-Optimization
Paul Grigas, Meng Qi, Zuo-Jun, Shen
http://arxiv.org/abs/2110.12351v1

• [stat.ML]Maximum Correntropy Criterion Regression models with tending-to-zero scale parameters
Ying Jing, Lianqiang Yang
http://arxiv.org/abs/2110.12751v1

• [stat.ML]Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R
Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning
http://arxiv.org/abs/2110.12674v1

• [stat.ML]Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
HaiYing Wang, Aonan Zhang, Chong Wang
http://arxiv.org/abs/2110.13048v1

• [stat.ML]Path Signature Area-Based Causal Discovery in Coupled Time Series
Will Glad, Thomas Woolf
http://arxiv.org/abs/2110.12288v1

• [stat.ML]Variational Gaussian Processes: A Functional Analysis View
Veit Wild, George Wynne
http://arxiv.org/abs/2110.12798v1