astro-ph.GA - 星系天体物理学
    cond-mat.mtrl-sci - 材料科学
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    cs.MM - 多媒体
    cs.NE - 神经与进化计算
    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.TH - 理论经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    gr-qc - 广义相对论与量子宇宙学
    math.LO - 逻辑演算
    math.MG -公制几何
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.flu-dyn - 流体动力学
    physics.med-ph - 医学物理学
    physics.soc-ph - 物理学与社会
    q-bio.GN - 基因组学
    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]Robustness of deep learning algorithms in astronomy — galaxy morphology studies
    • [cond-mat.mtrl-sci]Interpretable and Explainable Machine Learning for Materials Science and Chemistry
    • [cs.AI]A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
    • [cs.AI]An AI-powered Smart Routing Solution for Payment Systems
    • [cs.AI]AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones
    • [cs.AI]Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
    • [cs.AI]Conical Classification For Computationally Efficient One-Class Topic Determination
    • [cs.AI]Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
    • [cs.AI]Gomoku: analysis of the game and of the player Wine
    • [cs.AI]Graph Embedding with Hierarchical Attentive Membership
    • [cs.AI]Graph Tree Neural Networks
    • [cs.AI]Interpreting Deep Knowledge Tracing Model on EdNet Dataset
    • [cs.AI]JEDAI Explains Decision-Making AI
    • [cs.AI]Knowledge-driven Site Selection via Urban Knowledge Graph
    • [cs.AI]Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification
    • [cs.AI]Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors
    • [cs.AI]Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph
    • [cs.AI]PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
    • [cs.AI]Stakeholder Participation in AI: Beyond “Add Diverse Stakeholders and Stir”
    • [cs.AI]Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility
    • [cs.AI]Towards Reformulating Essence Specifications for Robustness
    • [cs.CL]A New Tool for Efficiently Generating Quality Estimation Datasets
    • [cs.CL]A Systematic Investigation of Commonsense Understanding in Large Language Models
    • [cs.CL]A transfer learning based approach for pronunciation scoring
    • [cs.CL]AdvCodeMix: Adversarial Attack on Code-Mixed Data
    • [cs.CL]An Approach to Inference-Driven Dialogue Management within a Social Chatbot
    • [cs.CL]Automatic Knowledge Augmentation for Generative Commonsense Reasoning
    • [cs.CL]Backdoor Pre-trained Models Can Transfer to All
    • [cs.CL]Comparative Study of Long Document Classification
    • [cs.CL]Cross-Domain Reasoning via Template Filling
    • [cs.CL]Cross-lingual Hate Speech Detection using Transformer Models
    • [cs.CL]DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents
    • [cs.CL]Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results
    • [cs.CL]Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
    • [cs.CL]Domain-adaptation of spherical embeddings
    • [cs.CL]EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
    • [cs.CL]EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
    • [cs.CL]Enhanced Language Representation with Label Knowledge for Span Extraction
    • [cs.CL]EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
    • [cs.CL]Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis
    • [cs.CL]FANS: Fusing ASR and NLU for on-device SLU
    • [cs.CL]FinEAS: Financial Embedding Analysis of Sentiment
    • [cs.CL]Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
    • [cs.CL]How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus
    • [cs.CL]Interpretable contrastive word mover’s embedding
    • [cs.CL]Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning
    • [cs.CL]Minimum Description Length Recurrent Neural Networks
    • [cs.CL]Pseudo-Labeling for Massively Multilingual Speech Recognition
    • [cs.CL]Quality Estimation Using Round-trip Translation with Sentence Embeddings
    • [cs.CL]R-BERT-CNN: Drug-target interactions extraction from biomedical literature
    • [cs.CL]SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
    • [cs.CL]The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
    • [cs.CL]Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units
    • [cs.CL]Unsupervised Discovery of Unaccusative and Unergative Verbs
    • [cs.CL]Unsupervised Domain Adaptation with Adapter
    • [cs.CL]VSEC: Transformer-based Model for Vietnamese Spelling Correction
    • [cs.CL]Visualization: the missing factor in Simultaneous Speech Translation
    • [cs.CL]What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
    • [cs.CV]3DP3: 3D Scene Perception via Probabilistic Programming
    • [cs.CV]A Comparative Review of Recent Few-Shot Object Detection Algorithms
    • [cs.CV]A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones
    • [cs.CV]A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies
    • [cs.CV]A Unified View of cGANs with and without Classifiers
    • [cs.CV]A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
    • [cs.CV]Accurate Point Cloud Registration with Robust Optimal Transport
    • [cs.CV]AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
    • [cs.CV]Benchmarks for Corruption Invariant Person Re-identification
    • [cs.CV]Classification of jujube fruit based on several pricing factors using machine learning methods
    • [cs.CV]Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
    • [cs.CV]CvS: Classification via Segmentation For Small Datasets
    • [cs.CV]DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
    • [cs.CV]DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
    • [cs.CV]DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
    • [cs.CV]DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary
    • [cs.CV]Deep Deterministic Uncertainty for Semantic Segmentation
    • [cs.CV]Dense Prediction with Attentive Feature Aggregation
    • [cs.CV]Direct attacks using fake images in iris verification
    • [cs.CV]Distilling Object Detectors with Feature Richness
    • [cs.CV]Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
    • [cs.CV]Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset
    • [cs.CV]FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos
    • [cs.CV]FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
    • [cs.CV]Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
    • [cs.CV]Few-shot learning with improved local representations via bias rectify module
    • [cs.CV]From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
    • [cs.CV]Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
    • [cs.CV]Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
    • [cs.CV]Generalized Data Weighting via Class-level Gradient Manipulation
    • [cs.CV]Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
    • [cs.CV]Geodesic Models with Convexity Shape Prior
    • [cs.CV]Geometry-Aware Hierarchical Bayesian Learning on Manifolds
    • [cs.CV]HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
    • [cs.CV]Hierarchical Image Classification with A Literally Toy Dataset
    • [cs.CV]Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
    • [cs.CV]Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
    • [cs.CV]Introspective Distillation for Robust Question Answering
    • [cs.CV]Iris Recognition Based on SIFT Features
    • [cs.CV]LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition
    • [cs.CV]Learned Image Compression with Separate Hyperprior Decoders
    • [cs.CV]Learning Debiased and Disentangled Representations for Semantic Segmentation
    • [cs.CV]Learning Distilled Collaboration Graph for Multi-Agent Perception
    • [cs.CV]Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision
    • [cs.CV]Learning Iterative Robust Transformation Synchronization
    • [cs.CV]Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation
    • [cs.CV]Livestock Monitoring with Transformer
    • [cs.CV]Longitudinal Analysis of Mask and No-Mask on Child Face Recognition
    • [cs.CV]Loop closure detection using local 3D deep descriptors
    • [cs.CV]MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
    • [cs.CV]MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
    • [cs.CV]Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
    • [cs.CV]On-device Real-time Hand Gesture Recognition
    • [cs.CV]PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
    • [cs.CV]PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
    • [cs.CV]PP-ShiTu: A Practical Lightweight Image Recognition System
    • [cs.CV]PatchFormer: A Versatile 3D Transformer Based on Patch Attention
    • [cs.CV]Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation
    • [cs.CV]Projected GANs Converge Faster
    • [cs.CV]RMNet: Equivalently Removing Residual Connection from Networks
    • [cs.CV]Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
    • [cs.CV]Recognizing Families In the Wild (RFIW): The 5th Edition
    • [cs.CV]Render In-between: Motion Guided Video Synthesis for Action Interpolation
    • [cs.CV]Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
    • [cs.CV]Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
    • [cs.CV]Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection
    • [cs.CV]Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss
    • [cs.CV]TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios
    • [cs.CV]Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
    • [cs.CV]VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection
    • [cs.CV]Visual Explanations for Convolutional Neural Networks via Latent Traversal
    • [cs.CV]When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
    • [cs.CV]With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
    • [cs.CY]Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation
    • [cs.CY]Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions
    • [cs.CY]Mobile Technologies in Education
    • [cs.CY]Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data
    • [cs.CY]The Impact of Knowledge of the Issue of Identification and Authentication on the Information Security of Adolescents in the Virtual Space
    • [cs.DB]TargetUM: Targeted High-Utility Itemset Querying
    • [cs.DC]Constraint-Aware Trajectory for Drone Delivery Services
    • [cs.DC]RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms
    • [cs.DC]Reinforced Workload Distribution Fairness
    • [cs.GR]OctField: Hierarchical Implicit Functions for 3D Modeling
    • [cs.HC]Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
    • [cs.IR]Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
    • [cs.IR]Comparative Explanations of Recommendations
    • [cs.IR]Enhancing Top-N Item Recommendations by Peer Collaboration
    • [cs.IR]Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
    • [cs.IR]Improving Location Recommendation with Urban Knowledge Graph
    • [cs.IR]Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation
    • [cs.IR]Learning Representations for Zero-Shot Retrieval over Structured Data
    • [cs.IR]Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
    • [cs.IR]URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
    • [cs.IT]Beyond Independent Measurements: General Compressed Sensing with GNN Application
    • [cs.IT]Capacity for Electromagnetic Information Theory
    • [cs.IT]Capacity of Noisy Permutation Channels
    • [cs.IT]Decoding of Polar Codes Based on Q-Learning-Driven Belief Propagation
    • [cs.IT]Distance and Bounds for Flag Codes
    • [cs.IT]Explicit and Efficient Construction of (nearly) Optimal Rate Codes for Binary Deletion Channel and the Poisson Repeat Channel
    • [cs.IT]Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions
    • [cs.IT]Finite-Time Capacity: Making Exceed-Shannon Possible?
    • [cs.IT]How to Find New Characteristic-Dependent Linear Rank Inequalities using Secret Sharing
    • [cs.IT]Individual codewords
    • [cs.IT]Multi-User Blind Symmetric Private Information Retrieval from Coded Servers
    • [cs.IT]Multi-weight Matrix Completion with Arbitrary Subspace Prior Information
    • [cs.IT]Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding
    • [cs.IT]On the Usage of Networked Tethered Flying Platforms for Massive Events — Case Study: Hajj Pilgrimage
    • [cs.IT]On the number of 今日学术视野(2021.11.3) - 图1-ary quasi-perfect codes with covering radius 2
    • [cs.IT]Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse
    • [cs.IT]Optimization of a Millimeter-Wave UAV-to-Ground Network in Urban Deployments
    • [cs.LG]A Survey on the Robustness of Feature Importance and Counterfactual Explanations
    • [cs.LG]A Tensor SVD-based Classification Algorithm Applied to fMRI Data
    • [cs.LG]A variance principle explains why dropout finds flatter minima
    • [cs.LG]Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
    • [cs.LG]Adjacency constraint for efficient hierarchical reinforcement learning
    • [cs.LG]An Actor-Critic Method for Simulation-Based Optimization
    • [cs.LG]Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup
    • [cs.LG]Back to Basics: Efficient Network Compression via IMP
    • [cs.LG]Bounds all around: training energy-based models with bidirectional bounds
    • [cs.LG]Can we learn gradients by Hamiltonian Neural Networks?
    • [cs.LG]Causal Discovery in Linear Structural Causal Models with Deterministic Relations
    • [cs.LG]Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph
    • [cs.LG]Collage: Automated Integration of Deep Learning Backends
    • [cs.LG]Combining Public and Private Data
    • [cs.LG]Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
    • [cs.LG]Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE
    • [cs.LG]Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
    • [cs.LG]DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
    • [cs.LG]DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
    • [cs.LG]Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
    • [cs.LG]Deep Recursive Embedding for High-Dimensional Data
    • [cs.LG]Dynamic Differential-Privacy Preserving SGD
    • [cs.LG]ECG synthesis with Neural ODE and GAN models
    • [cs.LG]Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks
    • [cs.LG]Efficient passive membership inference attack in federated learning
    • [cs.LG]Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses
    • [cs.LG]Efficiently Modeling Long Sequences with Structured State Spaces
    • [cs.LG]Equinox: neural networks in JAX via callable PyTrees and filtered transformations
    • [cs.LG]Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
    • [cs.LG]FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics
    • [cs.LG]Fast Global Convergence of Policy Optimization for Constrained MDPs
    • [cs.LG]FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
    • [cs.LG]GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing
    • [cs.LG]Generalized Proximal Policy Optimization with Sample Reuse
    • [cs.LG]Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
    • [cs.LG]Graph Structural Attack by Spectral Distanc
    • [cs.LG]Hex2vec — Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags
    • [cs.LG]Higher-Order Relations Skew Link Prediction in Graphs
    • [cs.LG]Identifying and mitigating bias in algorithms used to manage patients in a pandemic
    • [cs.LG]Indiscriminate Poisoning Attacks Are Shortcuts
    • [cs.LG]Intervention Efficient Algorithm for Two-Stage Causal MDPs
    • [cs.LG]Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
    • [cs.LG]Intrusion Prevention through Optimal Stopping
    • [cs.LG]Large-Scale Deep Learning Optimizations: A Comprehensive Survey
    • [cs.LG]Learning to Assimilate in Chaotic Dynamical Systems
    • [cs.LG]Machine Learning aided Crop Yield Optimization
    • [cs.LG]Mastering Atari Games with Limited Data
    • [cs.LG]Mixture Proportion Estimation and PU Learning: A Modern Approach
    • [cs.LG]Nested Multiple Instance Learning with Attention Mechanisms
    • [cs.LG]Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint
    • [cs.LG]On Joint Learning for Solving Placement and Routing in Chip Design
    • [cs.LG]On Quantitative Evaluations of Counterfactuals
    • [cs.LG]On the Expressivity of Markov Reward
    • [cs.LG]On the Power of Edge Independent Graph Models
    • [cs.LG]One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
    • [cs.LG]Optimizing Binary Symptom Checkers via Approximate Message Passing
    • [cs.LG]Optimizing Sparse Matrix Multiplications for Graph Neural Networks
    • [cs.LG]PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
    • [cs.LG]PIE: Pseudo-Invertible Encoder
    • [cs.LG]Partial-Adaptive Submodular Maximization
    • [cs.LG]Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
    • [cs.LG]Predicting Atlantic Multidecadal Variability
    • [cs.LG]Pseudo-Spherical Contrastive Divergence
    • [cs.LG]RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
    • [cs.LG]Resource-Efficient Federated Learning
    • [cs.LG]Revealing and Protecting Labels in Distributed Training
    • [cs.LG]Robust Deep Learning from Crowds with Belief Propagation
    • [cs.LG]Safe Learning of Linear Time-Invariant Systems
    • [cs.LG]Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning
    • [cs.LG]Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method
    • [cs.LG]SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
    • [cs.LG]Statistical quantification of confounding bias in predictive modelling
    • [cs.LG]Sustainable AI: Environmental Implications, Challenges and Opportunities
    • [cs.LG]Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction
    • [cs.LG]The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
    • [cs.LG]Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks
    • [cs.LG]To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
    • [cs.LG]Towards the Generalization of Contrastive Self-Supervised Learning
    • [cs.LG]Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
    • [cs.LG]Transfer Learning Approach to Bicycle-sharing Systems’ Station Location Planning using OpenStreetMap Data
    • [cs.LG]Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records
    • [cs.LG]Using Google Trends as a proxy for occupant behavior to predict building energy consumption
    • [cs.LG]You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
    • [cs.LG]ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
    • [cs.LG]gtfs2vec — Learning GTFS Embeddings for comparing Public Transport Offer in Microregions
    • [cs.LG]iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
    • [cs.MA]Bayesian optimization of distributed neurodynamical controller models for spatial navigation
    • [cs.MA]Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
    • [cs.MA]Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
    • [cs.MM]Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding
    • [cs.MM]Hierarchical Deep Residual Reasoning for Temporal Moment Localization
    • [cs.NE]A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems
    • [cs.NE]Context Meta-Reinforcement Learning via Neuromodulation
    • [cs.NE]Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
    • [cs.RO]A Design and an Implementation of an Inverse Kinematics Computation in Robotics Using Real Quantifier Elimination based on Comprehensive Gröbner Systems
    • [cs.RO]A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center
    • [cs.RO]Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
    • [cs.RO]Efficient Map Prediction via Low-Rank Matrix Completion
    • [cs.RO]Experimental Study on the Imitation of the Human Neck-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot
    830
    Based on a Deep Neural Network Approach
    • [cs.RO]Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
    • [cs.RO]Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers’ Perspective
    • [cs.RO]Integrated Modular Solution for Task Oriented Manipulator Configuration Design
    • [cs.RO]Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
    • [cs.RO]Learning Inertial Odometry for Dynamic Legged Robot State Estimation
    • [cs.RO]Local Trajectory Planning For UAV Autonomous Landing
    • [cs.RO]Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans
    • [cs.RO]MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration
    • [cs.RO]Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps
    • [cs.RO]Piezoelectric Soft Robot Inchworm Motion by Controlling Ground Friction through Robot Shape
    • [cs.RO]ReSkin: versatile, replaceable, lasting tactile skins
    • [cs.RO]Relevant Region Sampling Strategy with Adaptive Heuristic Estimation for Asymptotically Optimal Motion Planning
    • [cs.RO]Robot Learning from Randomized Simulations: A Review
    • [cs.RO]Shape Programmable Magnetic Pixel Soft Robot
    • [cs.RO]Stitching Dynamic Movement Primitives and Image-based Visual Servo Control
    • [cs.RO]Validate on Sim, Detect on Real — Model Selection for Domain Randomization
    • [cs.SD]A Novel 1D State Space for Efficient Music Rhythmic Analysis
    • [cs.SD]Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
    • [cs.SD]RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
    • [cs.SD]Speech Emotion Recognition Using Quaternion Convolutional Neural Networks
    • [cs.SE]Application-Platform Co-Design for Serverless Data Processing
    • [cs.SE]Encoding Program as Image: Evaluating Visual Representation of Source Code
    • [cs.SE]Text Classification for Task-based Source Code Related Questions
    • [cs.SI]A network-based approach to QAnon user dynamics during COVID-19 infodemic
    • [cs.SI]Algorithms for Interference Minimization in Future Wireless Network Decomposition
    • [cs.SI]Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter
    • [cs.SI]FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks
    • [cs.SI]Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks
    • [cs.SI]My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
    • [cs.SI]Reddit and the Fourth Estate: Exploring the magnitude and effects of media influence on community level moderation on Reddit
    • [econ.TH]Expanding Multi-Market Monopoly and Nonconcavity in the Value of Information
    • [eess.AS]Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network
    • [eess.AS]Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model
    • [eess.AS]Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition
    • [eess.IV]Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
    • [eess.IV]Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy
    • [eess.IV]Cross-Modality Fusion Transformer for Multispectral Object Detection
    • [eess.IV]Dual Attention Network for Heart Rate and Respiratory Rate Estimation
    • [eess.IV]Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction
    • [eess.IV]Focal Attention Networks: optimising attention for biomedical image segmentation
    • [eess.IV]Functional Neural Networks for Parametric Image Restoration Problems
    • [eess.IV]IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration
    • [eess.IV]Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
    • [eess.IV]Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study
    • [eess.IV]M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
    • [eess.IV]Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
    • [eess.IV]Self-Verification in Image Denoising
    • [eess.IV]Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
    • [eess.IV]TorchXRayVision: A library of chest X-ray datasets and models
    • [eess.IV]Unpaired Learning for High Dynamic Range Image Tone Mapping
    • [eess.SP]Learning to Detect Open Carry and Concealed Object with 77GHz Radar
    • [eess.SP]Von Mises Tapering: A New Circular Windowing
    • [eess.SY]Graph Neural Network based scheduling : Improved throughput under a generalized interference model
    • [eess.SY]Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
    • [gr-qc]Swift sky localization of gravitational waves using deep learning seeded importance sampling
    • [math.LO]Gács-Kučera’s Theorem Revisited by Levin
    • [math.MG]Properties of Parabola-Inscribed Poncelet Polygons
    • [math.NA]Approximation properties of Residual Neural Networks for Kolmogorov PDEs
    • [math.OC]STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
    • [math.PR]Edgeworth expansions for volatility models
    • [math.PR]Non-reversible processes: GENERIC, Hypocoercivity and fluctuations
    • [math.PR]On The Absolute Constant in Hanson-Wright Inequality
    • [math.PR]Shift-invariant homogeneous classes of random fields
    • [math.ST]Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method
    • [math.ST]Concentration bounds for the extremal variogram
    • [math.ST]Extended probabilities in Statistics
    • [math.ST]Inadmissibility of Equivariant Estimators of Order Restricted Location/Scale Parameters of a General Bivariate Distribution Under General Loss function And Their Improvements
    • [math.ST]Phase-type mixture-of-experts regression for loss severities
    • [math.ST]Statistical Inference in Parametric Preferential Attachment Trees
    • [math.ST]Support Recovery with Stochastic Gates: Theory and Application for Linear Models
    • [physics.flu-dyn]A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
    • [physics.flu-dyn]Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
    • [physics.med-ph]DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy
    • [physics.soc-ph]Linking theory and empirics: a general framework to model opinion formation processes
    • [q-bio.GN]High-dimensional multi-trait GWAS by reverse prediction of genotypes
    • [quant-ph]Exponent in Smoothing the Max-Relative Entropy and Its Application to Quantum Privacy Amplification
    • [stat.AP]Inference in epidemiological agent-based models using ensemble-based data assimilation
    • [stat.AP]Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
    • [stat.AP]Principal Component Pursuit for Pattern Identification in Environmental Mixtures
    • [stat.AP]The Missing Covariate Indicator Method is Nearly Valid Almost Always
    • [stat.AP]Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals
    • [stat.AP]Unpacking uncertainty in the modelling process for energy policy making
    • [stat.CO]Parallel-and-stream accelerator for computationally fast supervised learning
    • [stat.ME]Bayesian surface regression versus spatial spectral nonparametric curve regression
    • [stat.ME]Non-parametric multimodel Regiona
    1000
    l Frequency Analysis applied to climate change detection and attribution
    • [stat.ME]Pearson Chi-squared Conditional Randomization Test
    • [stat.ME]Posterior Inference for Quantile Regression: Adaptation to Sparsity
    • [stat.ME]Spatio-temporal Modeling of Zero-Inflated Count: Efficient Posterior Computation and Application to Monitoring Capelin Distribution in the Barents Sea
    • [stat.ME]Testing semiparametric model-equivalence hypotheses based on the characteristic function
    • [stat.ME]The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
    • [stat.ML]Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
    • [stat.ML]Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling
    • [stat.ML]End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
    • [stat.ML]Free Probability, Newton lilypads and Jacobians of neural networks
    • [stat.ML]Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
    • [stat.ML]Learning generative models for valid knockoffs using novel multivariate-rank based statistics
    • [stat.ML]Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
    • [stat.ML]NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
    • [stat.ML]Neural Networks as Kernel Learners: The Silent Alignment Effect
    • [stat.ML]PCA-based Multi Task Learning: a Random Matrix Approach
    • [stat.ML]Robust and efficient change point detection using novel multivariate rank-energy GoF test
    • [stat.ML]Uncertainty quantification for ptychography using normalizing flows

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

    • [astro-ph.GA]Robustness of deep learning algorithms in astronomy — galaxy morphology studies
    A. Ćiprijanović, D. Kafkes, G. N. Perdue, K. Pedro, G. Snyder, F. J. Sánchez, S. Madireddy, S. Wild, B. Nord
    http://arxiv.org/abs/2111.00961v1

    • [cond-mat.mtrl-sci]Interpretable and Explainable Machine Learning for Materials Science and Chemistry
    Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler
    http://arxiv.org/abs/2111.01037v1

    • [cs.AI]A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
    Haoran Su, Yaofeng Desmond Zhong, Dey Biswadip, Amit Chakraborty
    http://arxiv.org/abs/2111.00278v1

    • [cs.AI]An AI-powered Smart Routing Solution for Payment Systems
    Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, Birendra Sahu
    http://arxiv.org/abs/2111.00783v1

    • [cs.AI]AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones
    Prithwish Jana, Debasish Jana
    http://arxiv.org/abs/2111.00200v1

    • [cs.AI]Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
    Bojian Hou, Hao Zhang, Gur Ladizhinsky, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang
    http://arxiv.org/abs/2111.00621v1

    • [cs.AI]Conical Classification For Computationally Efficient One-Class Topic Determination
    Sameer Khanna
    http://arxiv.org/abs/2111.00375v1

    • [cs.AI]Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
    Gan Tong, Libo Huang
    http://arxiv.org/abs/2111.00977v1

    • [cs.AI]Gomoku: analysis of the game and of the player Wine
    Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli
    http://arxiv.org/abs/2111.01016v1

    • [cs.AI]Graph Embedding with Hierarchical Attentive Membership
    Lu Lin, Ethan Blaser, Hongning Wang
    http://arxiv.org/abs/2111.00604v1

    • [cs.AI]Graph Tree Neural Networks
    Seokjun Kim, Jaeeun Jang, Hee-seok Jung, Hyeoncheol Kim
    http://arxiv.org/abs/2111.00424v1

    • [cs.AI]Interpreting Deep Knowledge Tracing Model on EdNet Dataset
    Deliang Wang, Yu Lu, Qinggang Meng, Penghe Chen
    http://arxiv.org/abs/2111.00419v1

    • [cs.AI]JEDAI Explains Decision-Making AI
    Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava
    http://arxiv.org/abs/2111.00585v1

    • [cs.AI]Knowledge-driven Site Selection via Urban Knowledge Graph
    Yu Liu, Jingtao Ding, Yong Li
    http://arxiv.org/abs/2111.00787v1

    • [cs.AI]Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification
    Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
    http://arxiv.org/abs/2111.01042v1

    • [cs.AI]Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors
    A. Izzidien, J. Watson, B. Loe, P. Romero, S. Fitz, D. Stillwell
    http://arxiv.org/abs/2111.00086v1

    • [cs.AI]Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph
    Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang
    http://arxiv.org/abs/2111.00732v1

    • [cs.AI]PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
    Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig
    http://arxiv.org/abs/2111.00506v1

    • [cs.AI]Stakeholder Participation in AI: Beyond “Add Diverse Stakeholders and Stir”
    Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang
    http://arxiv.org/abs/2111.01122v1

    • [cs.AI]Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility
    Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke
    http://arxiv.org/abs/2111.00826v1

    • [cs.AI]Towards Reformulating Essence Specifications for Robustness
    Özgür Akgün, Alan M. Frisch, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon
    http://arxiv.org/abs/2111.00821v1

    • [cs.CL]A New Tool for Efficiently Generating Quality Estimation Datasets
    Sugyeong Eo, Chanjun Park, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
    http://arxiv.org/abs/2111.00767v1

    • [cs.CL]A Systematic Investigation of Commonsense Understanding in Large Language Models
    Xiang Lorraine Li, Adhi Kuncoro, Cyprien de Masson d’Autume, Phil Blunsom, Aida Nematzadeh
    http://arxiv.org/abs/2111.00607v1

    • [cs.CL]A transfer learning based approach for pronunciation scoring
    Marcelo Sancinetti, Jazmin Vidal, Cyntia Bonomi, Luciana Ferrer
    http://arxiv.org/abs/2111.00976v1

    • [cs.CL]AdvCodeMix: Adversarial Attack on Code-Mixed Data
    Sourya Dipta Das, Ayan Basak, Soumil Mandal, Dipankar Das
    http://arxiv.org/abs/2111.00350v1

    • [cs.CL]An Approach to Inference-Driven Dialogue Management within a Social Chatbot
    Sarah E. Finch, James D. Finch, Daniil Huryn, William Hutsell, Xiaoyuan Huang, Han He, Jinho D. Choi
    http://arxiv.org/abs/2111.00570v1

    • [cs.CL]Automatic Knowledge Augmentation for Generative Commonsense Reasoning
    Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    http://arxiv.org/abs/2111.00192v1

    • [cs.CL]Backdoor Pre-trained Models Can Transfer to All
    Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang
    http://arxiv.org/abs/2111.00197v1

    • [cs.CL]Comparative Study of Long Document Classification
    Vedangi Wagh, Snehal Khandve, Isha Joshi, Apurva Wani, Geetanjali Kale, Raviraj Joshi
    http://arxiv.org/abs/2111.00702v1

    • [cs.CL]Cross-Domain Reasoning via Template Filling
    Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew Fano, Eduard Hovy
    http://arxiv.org/abs/2111.00539v1

    • [cs.CL]Cross-lingual Hate Speech Detection using Transformer Models
    Teodor Tiţa, Arkaitz Zubiaga
    http://arxiv.org/abs/2111.00981v1

    • [cs.CL]DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents
    Gunjan Haldar, Aman Mittal, Pradyumna Gupta
    http://arxiv.org/abs/2111.00490v1

    • [cs.CL]Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results
    Ridewaan Hanslo
    http://arxiv.org/abs/2111.00830v1

    • [cs.CL]Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
    Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li
    http://arxiv.org/abs/2111.00701v1

    • [cs.CL]Domain-adaptation of spherical embeddings
    Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev
    http://arxiv.org/abs/2111.00677v1

    • [cs.CL]EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
    Chidhambararajan R, Aman Rangaur, Sibi Chakkaravarthy Sethuraman
    http://arxiv.org/abs/2111.00379v1

    • [cs.CL]EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
    Emmanouil Zaranis, Georgios Paraskevopoulos, Athanasios Katsamanis, Alexandros Potamianos
    http://arxiv.org/abs/2111.00310v1

    • [cs.CL]Enhanced Language Representation with Label Knowledge for Span Extraction
    Pan Yang, Xin Cong, Zhenyun Sun, Xingwu Liu
    http://arxiv.org/abs/2111.00884v1

    • [cs.CL]EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
    Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
    http://arxiv.org/abs/2111.00276v1

    • [cs.CL]Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis
    Hsin-Wei Wang, Bi-Cheng Yan, Hsuan-Sheng Chiu, Yung-Chang Hsu, Berlin Chen
    http://arxiv.org/abs/2111.00844v1

    • [cs.CL]FANS: Fusing ASR and NLU for on-device SLU
    Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow
    http://arxiv.org/abs/2111.00400v1

    • [cs.CL]FinEAS: Financial Embedding Analysis of Sentiment
    Asier Gutiérrez-Fandiño, Miquel Noguer i Alonso, Petter Kolm, Jordi Armengol-Estapé
    http://arxiv.org/abs/2111.00526v1

    • [cs.CL]Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
    Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
    http://arxiv.org/abs/2111.00180v1

    • [cs.CL]How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus
    Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
    http://arxiv.org/abs/2111.00191v1

    • [cs.CL]Interpretable contrastive word mover’s embedding
    Ruijie Jiang, Julia Gouvea, Eric Miller, David Hammer, Shuchin Aeron
    http://arxiv.org/abs/2111.01023v1

    • [cs.CL]Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning
    Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi
    http://arxiv.org/abs/2111.00230v1

    • [cs.CL]Minimum Description Length Recurrent Neural Networks
    Nur Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir
    http://arxiv.org/abs/2111.00600v1

    • [cs.CL]Pseudo-Labeling for Massively Multilingual Speech Recognition
    Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
    http://arxiv.org/abs/2111.00161v1

    • [cs.CL]Quality Estimation Using Round-trip Translation with Sentence Embeddings
    Nathan Crone, Adam Power, John Weldon
    http://arxiv.org/abs/2111.00554v1

    • [cs.CL]R-BERT-CNN: Drug-target interactions extraction from biomedical literature
    Jehad Aldahdooh, Ziaurrehman Tanoli, Jing Tang
    http://arxiv.org/abs/2111.00611v1

    • [cs.CL]SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
    Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
    http://arxiv.org/abs/2111.00653v1

    • [cs.CL]The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
    A. Izzidien, J. Watson, B. Loe, P. Romero, S. Fitz, D. Stillwell
    http://arxiv.org/abs/2111.00107v1

    • [cs.CL]Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units
    Anurag Katakkar, Alan W Black
    http://arxiv.org/abs/2111.00610v1

    • [cs.CL]Unsupervised Discovery of Unaccusative and Unergative Verbs
    Sharid Loáiciga, Luca Bevacqua, Christian Hardmeier
    http://arxiv.org/abs/2111.00808v1

    • [cs.CL]Unsupervised Domain Adaptation with Adapter
    Rongsheng Zhang, Yinhe Zheng, Xiaoxi Mao, Minlie Huang
    http://arxiv.org/abs/2111.00667v1

    • [cs.CL]VSEC: Transformer-based Model for Vietnamese Spelling Correction
    Dinh-Truong Do, Ha Thanh Nguyen, Thang Ngoc Bui, Dinh Hieu Vo
    http://arxiv.org/abs/2111.00640v1

    • [cs.CL]Visualization: the missing factor in Simultaneous Speech Translation
    Sara Papi, Matteo Negri, Marco Turchi
    http://arxiv.org/abs/2111.00514v1

    • [cs.CL]What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
    James D. Finch, Sarah E. Finch, Jinho D. Choi
    http://arxiv.org/abs/2111.00572v1

    • [cs.CV]3DP3: 3D Scene Perception via Probabilistic Programming
    Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
    http://arxiv.org/abs/2111.00312v1

    • [cs.CV]A Comparative Review of Recent Few-Shot Object Detection Algorithms
    Leng Jiaxu, Chen Taiyue, Gao Xinbo, Yu Yongtao, Wang Ye, Gao Feng, Wang Yue
    http://arxiv.org/abs/2111.00201v1

    • [cs.CV]A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones
    Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana
    http://arxiv.org/abs/2111.00398v1

    • [cs.CV]A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies
    Jingyao Yang, Chao Liang, Yanrui Niu, Baojin Huang, Zhongyuan Wang
    http://arxiv.org/abs/2111.00228v1

    • [cs.CV]A Unified View of cGANs with and without Classifiers
    Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
    http://arxiv.org/abs/2111.01035v1

    • [cs.CV]A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
    Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri
    http://arxiv.org/abs/2111.00298v1

    • [cs.CV]Accurate Point Cloud Registration with Robust Optimal Transport
    Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Ruben San Jose Estepar, Raul San Jose Estepar, Marc Niethammer
    http://arxiv.org/abs/2111.00648v1

    • [cs.CV]AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
    Alexandros Stergiou, Ronald Poppe
    http://arxiv.org/abs/2111.00772v1

    • [cs.CV]Benchmarks for Corruption Invariant Person Re-identification
    Minghui Chen, Zhiqiang Wang, Feng Zheng
    http://arxiv.org/abs/2111.00880v1

    • [cs.CV]Classification of jujube fruit based on several pricing factors using machine learning methods
    Abdollah Zakeri, Ruhollah Hedayati, Mohammad Khedmati, Mehran Taghipour-Gorjikolaie
    http://arxiv.org/abs/2111.00112v1

    • [cs.CV]Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
    Zhenyu Wang, Yali Li, Ye Guo, Shengjin Wang
    http://arxiv.org/abs/2111.00928v1

    • [cs.CV]CvS: Classification via Segmentation For Small Datasets
    Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
    http://arxiv.org/abs/2111.00042v1

    • [cs.CV]DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
    Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra
    http://arxiv.org/abs/2111.00919v1

    • [cs.CV]DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
    Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler
    http://arxiv.org/abs/2111.00140v1

    • [cs.CV]DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
    Huimin Shi, Quan Zhou, Yinghao Ni, Xiaofu Wu, Longin Jan Latecki
    http://arxiv.org/abs/2111.00500v1

    • [cs.CV]DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary
    Linjie Wang, Quan Zhou, Chenfeng Jiang, Xiaofu Wu, Longin Jan Latecki
    http://arxiv.org/abs/2111.00509v1

    • [cs.CV]Deep Deterministic Uncertainty for Semantic Segmentation
    Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
    http://arxiv.org/abs/2111.00079v1

    • [cs.CV]Dense Prediction with Attentive Feature Aggregation
    Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu
    http://arxiv.org/abs/2111.00770v1

    • [cs.CV]Direct attacks using fake images in iris verification
    Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez, Javier Galbally, Julian Fierrez, Javier Ortega-Garcia
    http://arxiv.org/abs/2111.00178v1

    • [cs.CV]Distilling Object Detectors with Feature Richness
    Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Tianshi Chen
    http://arxiv.org/abs/2111.00674v1

    • [cs.CV]Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
    Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P. -W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo
    http://arxiv.org/abs/2111.00993v1

    • [cs.CV]Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset
    Necdet Gurkan, Jordan W. Suchow
    http://arxiv.org/abs/2111.00660v1

    • [cs.CV]FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos
    Rishik Mishra, Neeraj Gupta, Nitya Shukla
    http://arxiv.org/abs/2111.01105v1

    • [cs.CV]FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
    Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao
    http://arxiv.org/abs/2111.01082v1

    • [cs.CV]Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
    Yueyuan Ao, Hong Wu
    http://arxiv.org/abs/2111.00659v1

    • [cs.CV]Few-shot learning with improved local representations via bias rectify module
    Chao Dong, Qi Ye, Wenchao Meng, Kaixiang Yang
    http://arxiv.org/abs/2111.00754v1

    • [cs.CV]From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
    Andy Catruna, Adrian Cosma, Ion Emilian Radoi
    http://arxiv.org/abs/2111.00538v1

    • [cs.CV]Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
    Eugene Khvedchenya, Tatiana Gabruseva
    http://arxiv.org/abs/2111.00508v1

    • [cs.CV]Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
    Yuhui Quan, Zicong Wu, Hui Ji
    http://arxiv.org/abs/2111.00454v1

    • [cs.CV]Generalized Data Weighting via Class-level Gradient Manipulation
    Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou
    http://arxiv.org/abs/2111.00056v1

    • [cs.CV]Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
    Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai
    http://arxiv.org/abs/2111.00969v1

    • [cs.CV]Geodesic Models with Convexity Shape Prior
    Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xuecheng Tai, Laurent D. Cohen
    http://arxiv.org/abs/2111.00794v1

    • [cs.CV]Geometry-Aware Hierarchical Bayesian Learning on Manifolds
    Yonghui Fan, Yalin Wang
    http://arxiv.org/abs/2111.00184v1

    • [cs.CV]HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
    Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
    http://arxiv.org/abs/2111.00164v1

    • [cs.CV]Hierarchical Image Classification with A Literally Toy Dataset
    Long He, Dandan Song, Liang Zheng
    http://arxiv.org/abs/2111.00892v1

    • [cs.CV]Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
    Jianning Quan, A. Ben Hamza
    http://arxiv.org/abs/2111.00950v1

    • [cs.CV]Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
    Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng
    http://arxiv.org/abs/2111.00203v1

    • [cs.CV]Introspective Distillation for Robust Question Answering
    Yulei Niu, Hanwang Zhang
    http://arxiv.org/abs/2111.01026v1

    • [cs.CV]Iris Recognition Based on SIFT Features
    Fernando Alonso-Fernandez, Pedro Tome-Gonzalez, Virginia Ruiz-Albacete, Javier Ortega-Garcia
    http://arxiv.org/abs/2111.00176v1

    • [cs.CV]LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition
    Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan
    http://arxiv.org/abs/2111.00823v1

    • [cs.CV]Learned Image Compression with Separate Hyperprior Decoders
    Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan
    http://arxiv.org/abs/2111.00485v1

    • [cs.CV]Learning Debiased and Disentangled Representations for Semantic Segmentation
    Sanghyeok Chu, Dongwan Kim, Bohyung Han
    http://arxiv.org/abs/2111.00531v1

    • [cs.CV]Learning Distilled Collaboration Graph for Multi-Agent Perception
    Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang
    http://arxiv.org/abs/2111.00643v1

    • [cs.CV]Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision
    Ali Safa, Hichem Sahli, André Bourdoux, Ilja Ocket, Francky Catthoor, Georges Gielen
    http://arxiv.org/abs/2111.00791v1

    • [cs.CV]Learning Iterative Robust Transformation Synchronization
    Zi Jian Yew, Gim Hee Lee
    http://arxiv.org/abs/2111.00728v1

    • [cs.CV]Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation
    Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, He Wang
    http://arxiv.org/abs/2111.00190v1

    • [cs.CV]Livestock Monitoring with Transformer
    Bhavesh Tangirala, Ishan Bhandari, Daniel Laszlo, Deepak K. Gupta, Rajat M. Thomas, Devanshu Arya
    http://arxiv.org/abs/2111.00801v1

    • [cs.CV]Longitudinal Analysis of Mask and No-Mask on Child Face Recognition
    Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain
    http://arxiv.org/abs/2111.00121v1

    • [cs.CV]Loop closure detection using local 3D deep descriptors
    Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin, Yi Wan
    http://arxiv.org/abs/2111.00440v1

    • [cs.CV]MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
    Miao Zhang, Miaojing Shi, Li Li
    http://arxiv.org/abs/2111.00232v1

    • [cs.CV]MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
    Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks
    http://arxiv.org/abs/2111.01048v1

    • [cs.CV]Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
    Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy
    http://arxiv.org/abs/2111.00763v1

    • [cs.CV]On-device Real-time Hand Gesture Recognition
    George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky, Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann
    http://arxiv.org/abs/2111.00038v1

    • [cs.CV]PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
    Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu
    http://arxiv.org/abs/2111.00406v1

    • [cs.CV]PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
    Guanghua Yu, Qinyao Chang, Wenyu Lv, Chang Xu, Cheng Cui, Wei Ji, Qingqing Dang, Kaipeng Deng, Guanzhong Wang, Yuning Du, Baohua Lai, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
    http://arxiv.org/abs/2111.00902v1

    • [cs.CV]PP-ShiTu: A Practical Lightweight Image Recognition System
    Shengyu Wei, Ruoyu Guo, Cheng Cui, Bin Lu, Shuilong Dong, Tingquan Gao, Yuning Du, Ying Zhou, Xueying Lyu, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
    http://arxiv.org/abs/2111.00775v1

    • [cs.CV]PatchFormer: A Versatile 3D Transformer Based on Patch Attention
    Zhang Cheng, Haocheng Wan, Xinyi Shen, Zizhao Wu
    http://arxiv.org/abs/2111.00207v1

    • [cs.CV]Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation
    Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
    http://arxiv.org/abs/2111.00063v1

    • [cs.CV]Projected GANs Converge Faster
    Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
    http://arxiv.org/abs/2111.01007v1

    • [cs.CV]RMNet: Equivalently Removing Residual Connection from Networks
    Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun
    http://arxiv.org/abs/2111.00687v1

    • [cs.CV]Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
    Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
    http://arxiv.org/abs/2111.01118v1

    • [cs.CV]Recognizing Families In the Wild (RFIW): The 5th Edition
    Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu
    http://arxiv.org/abs/2111.00598v1

    • [cs.CV]Render In-between: Motion Guided Video Synthesis for Action Interpolation
    Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges
    http://arxiv.org/abs/2111.01029v1

    • [cs.CV]Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
    Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade
    http://arxiv.org/abs/2111.00995v1

    • [cs.CV]Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
    Misgana Negassi, Diane Wagner, Alexander Reiterer
    http://arxiv.org/abs/2111.00487v1

    • [cs.CV]Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection
    Diankun Zhang, Zhijie Zheng, Xueting Bi, Xiaojun Liu
    http://arxiv.org/abs/2111.00931v1

    • [cs.CV]Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss
    Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki
    http://arxiv.org/abs/2111.00131v1

    • [cs.CV]TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios
    Lei Sun, Lu Deng
    http://arxiv.org/abs/2111.00657v1

    • [cs.CV]Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
    Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher
    http://arxiv.org/abs/2111.00231v1

    • [cs.CV]VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection
    Chia-Hung Wang, Hsueh-Wei Chen, Li-Chen Fu
    http://arxiv.org/abs/2111.00966v1

    • [cs.CV]Visual Explanations for Convolutional Neural Networks via Latent Traversal
    Amil Dravid, Aggelos K. Katsaggelos
    http://arxiv.org/abs/2111.00116v1

    • [cs.CV]When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
    Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan
    http://arxiv.org/abs/2111.01124v1

    • [cs.CV]With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
    Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen
    http://arxiv.org/abs/2111.01024v1

    • [cs.CY]Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation
    Yichen Wang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra
    http://arxiv.org/abs/2111.00700v1

    • [cs.CY]Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions
    Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2111.00052v1

    • [cs.CY]Mobile Technologies in Education
    Daniel Serna-Poot
    http://arxiv.org/abs/2111.00308v1

    • [cs.CY]Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data
    Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock
    http://arxiv.org/abs/2111.00175v1

    • [cs.CY]The Impact of Knowledge of the Issue of Identification and Authentication on the Information Security of Adolescents in the Virtual Space
    Ljerka Luic, Drazenka Svelec-Juricic, Petar Misevic
    http://arxiv.org/abs/2111.00460v1

    • [cs.DB]TargetUM: Targeted High-Utility Itemset Querying
    Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen
    http://arxiv.org/abs/2111.00309v1

    • [cs.DC]Constraint-Aware Trajectory for Drone Delivery Services
    Jermaine Janszen, Babar Shahzaad, Balsam Alkouz, Athman Bouguettaya
    http://arxiv.org/abs/2111.00339v1

    • [cs.DC]RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms
    Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli
    http://arxiv.org/abs/2111.00579v1

    • [cs.DC]Reinforced Workload Distribution Fairness
    Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen
    http://arxiv.org/abs/2111.00008v1

    • [cs.GR]OctField: Hierarchical Implicit Functions for 3D Modeling
    Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao
    http://arxiv.org/abs/2111.01067v1

    • [cs.HC]Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
    Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa
    http://arxiv.org/abs/2111.00418v1

    • [cs.IR]Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
    Yiling Jia, Hongning Wang
    http://arxiv.org/abs/2111.00735v1

    • [cs.IR]Comparative Explanations of Recommendations
    Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
    http://arxiv.org/abs/2111.00670v1

    • [cs.IR]Enhancing Top-N Item Recommendations by Peer Collaboration
    Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao
    http://arxiv.org/abs/2111.00429v1

    • [cs.IR]Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
    Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng
    http://arxiv.org/abs/2111.00926v1

    • [cs.IR]Improving Location Recommendation with Urban Knowledge Graph
    Chang Liu, Chen Gao, Depeng Jin, Yong Li
    http://arxiv.org/abs/2111.01013v1

    • [cs.IR]Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation
    Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
    http://arxiv.org/abs/2111.00678v1

    • [cs.IR]Learning Representations for Zero-Shot Retrieval over Structured Data
    Harsh Kohli
    http://arxiv.org/abs/2111.00123v1

    • [cs.IR]Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
    Seyed Omid Mohammadi, Hossein Bodaghi, Ahmad Kalhor
    http://arxiv.org/abs/2111.00758v1

    • [cs.IR]URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
    Na zhao, Zhen Long, Zhi-Dan Zhao, Jian Wang
    http://arxiv.org/abs/2111.00739v1

    • [cs.IT]Beyond Independent Measurements: General Compressed Sensing with GNN Application
    Alireza Naderi, Yaniv Plan
    http://arxiv.org/abs/2111.00327v1

    • [cs.IT]Capacity for Electromagnetic Information Theory
    Zhongzhichao Wan, Jieao Zhu, Zijian Zhang, Linglong Dai
    http://arxiv.org/abs/2111.00496v1

    • [cs.IT]Capacity of Noisy Permutation Channels
    Jennifer Tang, Yury Polyanskiy
    http://arxiv.org/abs/2111.00559v1

    • [cs.IT]Decoding of Polar Codes Based on Q-Learning-Driven Belief Propagation
    L. M. Oliveira, R. M. Oliveira, R. C. de Lamare
    http://arxiv.org/abs/2111.00673v1

    • [cs.IT]Distance and Bounds for Flag Codes
    Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà
    http://arxiv.org/abs/2111.00910v1

    • [cs.IT]Explicit and Efficient Construction of (nearly) Optimal Rate Codes for Binary Deletion Channel and the Poisson Repeat Channel
    Ittai Rubinstein
    http://arxiv.org/abs/2111.00261v1

    • [cs.IT]Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions
    Jeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu
    http://arxiv.org/abs/2111.01060v1

    • [cs.IT]Finite-Time Capacity: Making Exceed-Shannon Possible?
    Jieao Zhu, Zijian Zhang, Zhongzhichao Wan, Linglong Dai
    http://arxiv.org/abs/2111.00444v1

    • [cs.IT]How to Find New Characteristic-Dependent Linear Rank Inequalities using Secret Sharing
    Victor Peña-Macias
    http://arxiv.org/abs/2111.00120v1

    • [cs.IT]Individual codewords
    Alexander Shen
    http://arxiv.org/abs/2111.00857v1

    • [cs.IT]Multi-User Blind Symmetric Private Information Retrieval from Coded Servers
    Jinbao Zhu, Qifa Yan, Xiaohu Tang
    http://arxiv.org/abs/2111.00467v1

    • [cs.IT]Multi-weight Matrix Completion with Arbitrary Subspace Prior Information
    Hamideh. Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei
    http://arxiv.org/abs/2111.00235v1

    • [cs.IT]Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding
    Ming Zhan, Zhibo Pang, Kan Yu, Jing Xu, Fang Wu
    http://arxiv.org/abs/2111.00695v1

    • [cs.IT]On the Usage of Networked Tethered Flying Platforms for Massive Events — Case Study: Hajj Pilgrimage
    Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini
    http://arxiv.org/abs/2111.00900v1

    • [cs.IT]On the number of 今日学术视野(2021.11.3) - 图2-ary quasi-perfect codes with covering radius 2
    Alexander M. Romanov
    http://arxiv.org/abs/2111.00774v1

    • [cs.IT]Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse
    Hongyang Du, Dusit Niyato, Jiawen Kang, Dong In Kim, Chunyan Miao
    http://arxiv.org/abs/2111.00511v1

    • [cs.IT]Optimization of a Millimeter-Wave UAV-to-Ground Network in Urban Deployments
    Enass Hriba, Matthew C. Valenti, Robert W. Heath Jr
    http://arxiv.org/abs/2111.00603v1

    • [cs.LG]A Survey on the Robustness of Feature Importance and Counterfactual Explanations
    Saumitra Mishra, Sanghamitra Dutta, Jason Long, Daniele Magazzeni
    http://arxiv.org/abs/2111.00358v1

    • [cs.LG]A Tensor SVD-based Classification Algorithm Applied to fMRI Data
    Katherine Keegan, Tanvi Vishwanath, Yihua Xu
    http://arxiv.org/abs/2111.00587v1

    • [cs.LG]A variance principle explains why dropout finds flatter minima
    Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu
    http://arxiv.org/abs/2111.01022v1

    • [cs.LG]Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
    Xing Wang, Juan Zhao, Lin Zhu, Xu Zhou, Zhao Li, Junlan Feng, Chao Deng, Yong Zhang
    http://arxiv.org/abs/2111.00724v1

    • [cs.LG]Adjacency constraint for efficient hierarchical reinforcement learning
    Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
    http://arxiv.org/abs/2111.00213v1

    • [cs.LG]An Actor-Critic Method for Simulation-Based Optimization
    Kuo Li, Qing-Shan Jia, Jiaqi Yan
    http://arxiv.org/abs/2111.00435v1

    • [cs.LG]Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup
    Huaijun Jiang, Yu Shen, Yang Li
    http://arxiv.org/abs/2111.00513v1

    • [cs.LG]Back to Basics: Efficient Network Compression via IMP
    Max Zimmer, Christoph Spiegel, Sebastian Pokutta
    http://arxiv.org/abs/2111.00843v1

    • [cs.LG]Bounds all around: training energy-based models with bidirectional bounds
    Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg
    http://arxiv.org/abs/2111.00929v1

    • [cs.LG]Can we learn gradients by Hamiltonian Neural Networks?
    Aleksandr Timofeev, Andrei Afonin, Yehao Liu
    http://arxiv.org/abs/2111.00565v1

    • [cs.LG]Causal Discovery in Linear Structural Causal Models with Deterministic Relations
    Yuqin Yang, Mohamed Nafea, AmirEmad Ghassami, Negar Kiyavash
    http://arxiv.org/abs/2111.00341v1

    • [cs.LG]Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph
    M. O’Sullivan, T. Gabruseva, G. Boylan, M. O’Riordan, G. Lightbody, W. Marnane
    http://arxiv.org/abs/2111.00517v1

    • [cs.LG]Collage: Automated Integration of Deep Learning Backends
    Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
    http://arxiv.org/abs/2111.00655v1

    • [cs.LG]Combining Public and Private Data
    Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza
    http://arxiv.org/abs/2111.00115v1

    • [cs.LG]Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
    Yujia Wang, Lu Lin, Jinghui Chen
    http://arxiv.org/abs/2111.00705v1

    • [cs.LG]Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE
    Mansura Habiba, Barak A. Pearlmutter
    http://arxiv.org/abs/2111.00343v1

    • [cs.LG]Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
    Matthew Shunshi Zhang, Murat Erdogdu, Animesh Garg
    http://arxiv.org/abs/2111.00185v1

    • [cs.LG]DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
    Robert Hönig, Yiren Zhao, Robert Mullins
    http://arxiv.org/abs/2111.00465v1

    • [cs.LG]DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
    Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah
    http://arxiv.org/abs/2111.00160v1

    • [cs.LG]Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
    Hsu Kao, Chen-Yu Wei, Vijay Subramanian
    http://arxiv.org/abs/2111.00781v1

    • [cs.LG]Deep Recursive Embedding for High-Dimensional Data
    Zixia Zhou, Xinrui Zu, Yuanyuan Wang, Boudewijn P. F. Lelieveldt, Qian Tao
    http://arxiv.org/abs/2111.00622v1

    • [cs.LG]Dynamic Differential-Privacy Preserving SGD
    Jian Du, Song Li, Moran Feng, Siheng Chen
    http://arxiv.org/abs/2111.00173v1

    • [cs.LG]ECG synthesis with Neural ODE and GAN models
    Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomas Ward
    http://arxiv.org/abs/2111.00314v1

    • [cs.LG]Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks
    Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki
    http://arxiv.org/abs/2111.00722v1

    • [cs.LG]Efficient passive membership inference attack in federated learning
    Oualid Zari, Chuan Xu, Giovanni Neglia
    http://arxiv.org/abs/2111.00430v1

    • [cs.LG]Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses
    Kaan Gokcesu, Hakan Gokcesu
    http://arxiv.org/abs/2111.00468v1

    • [cs.LG]Efficiently Modeling Long Sequences with Structured State Spaces
    Albert Gu, Karan Goel, Christopher Ré
    http://arxiv.org/abs/2111.00396v1

    • [cs.LG]Equinox: neural networks in JAX via callable PyTrees and filtered transformations
    Patrick Kidger, Cristian Garcia
    http://arxiv.org/abs/2111.00254v1

    • [cs.LG]Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
    M. Humayn Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan, Keyvan Ansari
    http://arxiv.org/abs/2111.00601v1

    • [cs.LG]FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics
    Henning Lange, J. Nathan Kutz
    http://arxiv.org/abs/2111.00110v1

    • [cs.LG]Fast Global Convergence of Policy Optimization for Constrained MDPs
    Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
    http://arxiv.org/abs/2111.00552v1

    • [cs.LG]FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
    Manupriya Gupta, Pavas Goyal, Rohit Verma, Rajeev Shorey, Huzur Saran
    http://arxiv.org/abs/2111.01074v1

    • [cs.LG]GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing
    Zhe Zhou, Cong Li, Xuechao Wei, Guangyu Sun
    http://arxiv.org/abs/2111.00680v1

    • [cs.LG]Generalized Proximal Policy Optimization with Sample Reuse
    James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
    http://arxiv.org/abs/2111.00072v1

    • [cs.LG]Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
    Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N Balasubramanian
    http://arxiv.org/abs/2111.00295v1

    • [cs.LG]Graph Structural Attack by Spectral Distanc
    Lu Lin, Ethan Blaser, Hongning Wang
    http://arxiv.org/abs/2111.00684v1

    • [cs.LG]Hex2vec — Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags
    Szymon Woźniak, Piotr Szymański
    http://arxiv.org/abs/2111.00970v1

    • [cs.LG]Higher-Order Relations Skew Link Prediction in Graphs
    Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty
    http://arxiv.org/abs/2111.00271v1

    • [cs.LG]Identifying and mitigating bias in algorithms used to manage patients in a pandemic
    Yifan Li, Garrett Yoon, Mustafa Nasir-Moin, David Rosenberg, Sean Neifert, Douglas Kondziolka, Eric Karl Oermann
    http://arxiv.org/abs/2111.00340v1

    • [cs.LG]Indiscriminate Poisoning Attacks Are Shortcuts
    Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
    http://arxiv.org/abs/2111.00898v1

    • [cs.LG]Intervention Efficient Algorithm for Two-Stage Causal MDPs
    Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman
    http://arxiv.org/abs/2111.00886v1

    • [cs.LG]Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
    Amardeep Singh, Julian Jang-Jaccard
    http://arxiv.org/abs/2111.00626v1

    • [cs.LG]Intrusion Prevention through Optimal Stopping
    Kim Hammar, Rolf Stadler
    http://arxiv.org/abs/2111.00289v1

    • [cs.LG]Large-Scale Deep Learning Optimizations: A Comprehensive Survey
    Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You
    http://arxiv.org/abs/2111.00856v1

    • [cs.LG]Learning to Assimilate in Chaotic Dynamical Systems
    Michael McCabe, Jed Brown
    http://arxiv.org/abs/2111.01058v1

    • [cs.LG]Machine Learning aided Crop Yield Optimization
    Chace Ashcraft, Kiran Karra
    http://arxiv.org/abs/2111.00963v1

    • [cs.LG]Mastering Atari Games with Limited Data
    Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
    http://arxiv.org/abs/2111.00210v1

    • [cs.LG]Mixture Proportion Estimation and PU Learning: A Modern Approach
    Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
    http://arxiv.org/abs/2111.00980v1

    • [cs.LG]Nested Multiple Instance Learning with Attention Mechanisms
    Saul Fuster, Trygve Eftestøl, Kjersti Engan
    http://arxiv.org/abs/2111.00947v1

    • [cs.LG]Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint
    Mansura Habiba, Barak A. Pearlmutter
    http://arxiv.org/abs/2111.00326v1

    • [cs.LG]On Joint Learning for Solving Placement and Routing in Chip Design
    Ruoyu Cheng, Junchi Yan
    http://arxiv.org/abs/2111.00234v1

    • [cs.LG]On Quantitative Evaluations of Counterfactuals
    Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
    http://arxiv.org/abs/2111.00177v1

    • [cs.LG]On the Expressivity of Markov Reward
    David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
    http://arxiv.org/abs/2111.00876v1

    • [cs.LG]On the Power of Edge Independent Graph Models
    Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
    http://arxiv.org/abs/2111.00048v1

    • [cs.LG]One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
    Clément Bonnet, Paul Caron, Thomas Barrett, Ian Davies, Alexandre Laterre
    http://arxiv.org/abs/2111.00206v1

    • [cs.LG]Optimizing Binary Symptom Checkers via Approximate Message Passing
    Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Hayet Amdouni
    http://arxiv.org/abs/2111.00303v1

    • [cs.LG]Optimizing Sparse Matrix Multiplications for Graph Neural Networks
    Shenghao Qiu, You Liang, Zheng Wang
    http://arxiv.org/abs/2111.00352v1

    • [cs.LG]PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
    Robert Stephany, Christopher Earls
    http://arxiv.org/abs/2111.00998v1

    • [cs.LG]PIE: Pseudo-Invertible Encoder
    Jan Jetze Beitler, Ivan Sosnovik, Arnold Smeulders
    http://arxiv.org/abs/2111.00619v1

    • [cs.LG]Partial-Adaptive Submodular Maximization
    Shaojie Tang, Jing Yuan
    http://arxiv.org/abs/2111.00986v1

    • [cs.LG]Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
    Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
    http://arxiv.org/abs/2111.00199v1

    • [cs.LG]Predicting Atlantic Multidecadal Variability
    Glenn Liu, Peidong Wang, Matthew Beveridge, Young-Oh Kwon, Iddo Drori
    http://arxiv.org/abs/2111.00124v1

    • [cs.LG]Pseudo-Spherical Contrastive Divergence
    Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
    http://arxiv.org/abs/2111.00780v1

    • [cs.LG]RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
    Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang
    http://arxiv.org/abs/2111.00658v1

    • [cs.LG]Resource-Efficient Federated Learning
    Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
    http://arxiv.org/abs/2111.01108v1

    • [cs.LG]Revealing and Protecting Labels in Distributed Training
    Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
    http://arxiv.org/abs/2111.00556v1

    • [cs.LG]Robust Deep Learning from Crowds with Belief Propagation
    Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok
    http://arxiv.org/abs/2111.00734v1

    • [cs.LG]Safe Learning of Linear Time-Invariant Systems
    Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames
    http://arxiv.org/abs/2111.00631v1

    • [cs.LG]Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning
    Yuanzhi Li, Ruosong Wang, Lin F. Yang
    http://arxiv.org/abs/2111.00633v1

    • [cs.LG]Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method
    Yifan Chen, Qi Zeng, Heng Ji, Yun Yang
    http://arxiv.org/abs/2111.00035v1

    • [cs.LG]SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
    Ishan Prakash, Aniruddh Bansal, Rohit Verma, Rajeev Shorey
    http://arxiv.org/abs/2111.01077v1

    • [cs.LG]Statistical quantification of confounding bias in predictive modelling
    Tamas Spisak
    http://arxiv.org/abs/2111.00814v1

    • [cs.LG]Sustainable AI: Environmental Implications, Challenges and Opportunities
    Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim Hazelwood
    http://arxiv.org/abs/2111.00364v1

    • [cs.LG]Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction
    Chi-Hua Chen
    http://arxiv.org/abs/2111.00149v1

    • [cs.LG]The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
    Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty
    http://arxiv.org/abs/2111.00243v1

    • [cs.LG]Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks
    Giovanni Maciel Ferreira Silva, Taufik Abrao
    http://arxiv.org/abs/2111.00299v1

    • [cs.LG]To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
    Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan
    http://arxiv.org/abs/2111.00637v1

    • [cs.LG]Towards the Generalization of Contrastive Self-Supervised Learning
    Weiran Huang, Mingyang Yi, Xuyang Zhao
    http://arxiv.org/abs/2111.00743v1

    • [cs.LG]Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
    Yushi Hirose, Masashi Shimbo, Taro Watanabe
    http://arxiv.org/abs/2111.00974v1

    • [cs.LG]Transfer Learning Approach to Bicycle-sharing Systems’ Station Location Planning using OpenStreetMap Data
    Kamil Raczycki, Piotr Szymański
    http://arxiv.org/abs/2111.00990v1

    • [cs.LG]Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records
    Yiqing Zhao, Yuan Luo
    http://arxiv.org/abs/2111.00592v1

    • [cs.LG]Using Google Trends as a proxy for occupant behavior to predict building energy consumption
    Chun Fu, Clayton Miller
    http://arxiv.org/abs/2111.00426v1

    • [cs.LG]You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
    Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
    http://arxiv.org/abs/2111.00162v1

    • [cs.LG]ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
    Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
    http://arxiv.org/abs/2111.01080v1

    • [cs.LG]gtfs2vec — Learning GTFS Embeddings for comparing Public Transport Offer in Microregions
    Piotr Gramacki, Szymon Woźniak, Piotr Szymański
    http://arxiv.org/abs/2111.00960v1

    • [cs.LG]iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
    Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li
    http://arxiv.org/abs/2111.00965v1

    • [cs.MA]Bayesian optimization of distributed neurodynamical controller models for spatial navigation
    Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco
    http://arxiv.org/abs/2111.00599v1

    • [cs.MA]Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
    Kuo Li, Qing-Shan Jia
    http://arxiv.org/abs/2111.00438v1

    • [cs.MA]Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
    Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
    http://arxiv.org/abs/2111.01100v1

    • [cs.MM]Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding
    Avijit Shah, Topojoy Biswas, Sathish Ramadoss, Deven Santosh Shah
    http://arxiv.org/abs/2111.00629v1

    • [cs.MM]Hierarchical Deep Residual Reasoning for Temporal Moment Localization
    Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie
    http://arxiv.org/abs/2111.00417v1

    • [cs.NE]A novel decompostion-based multiobjective evolutionary algorithm with an application to engineering optimal design problems
    Wang Chen, Jian Chen, Weitian Wu, Xinmin Yang, Hui Li
    http://arxiv.org/abs/2110.14124v2

    • [cs.NE]Context Meta-Reinforcement Learning via Neuromodulation
    Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio
    http://arxiv.org/abs/2111.00134v1

    • [cs.NE]Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
    T. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt, Claudio P. Santiago, Daniel M. Faissol, Brenden K. Petersen
    http://arxiv.org/abs/2111.00053v1

    • [cs.RO]A Design and an Implementation of an Inverse Kinematics Computation in Robotics Using Real Quantifier Elimination based on Comprehensive Gröbner Systems
    Shuto Otaki, Akira Terui, Masahiko Mikawa
    http://arxiv.org/abs/2111.00384v1

    • [cs.RO]A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center
    Ankush Ojha, Marichi Agarwal, Aniruddha Singhal, Chayan Sarkar, Supratim Ghosh, Rajesh Sinha
    http://arxiv.org/abs/2111.01072v1

    • [cs.RO]Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
    Taha Elmokadem
    http://arxiv.org/abs/2111.00166v1

    • [cs.RO]Efficient Map Prediction via Low-Rank Matrix Completion
    Zheng Chen, Shi Bai, Lantao Liu
    http://arxiv.org/abs/2111.00075v1

    • [cs.RO]Experimental Study on the Imitation of the Human Neck-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot
    830
    Based on a Deep Neural Network Approach
    Amirmohammad Radmehr, Milad Asgari, Mehdi Tale Masouleh
    http://arxiv.org/abs/2111.00452v1

    • [cs.RO]Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
    Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu
    http://arxiv.org/abs/2111.00788v1

    • [cs.RO]Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers’ Perspective
    Jessy Ceha, Edith Law, Dana Kulić, Pierre-Yves Oudeyer, Didier Roy
    http://arxiv.org/abs/2111.00360v1

    • [cs.RO]Integrated Modular Solution for Task Oriented Manipulator Configuration Design
    Anubhav Dogra, Sakshay Mahna, Srikant Sekhar Padhee, Ekta Singla
    http://arxiv.org/abs/2111.00489v1

    • [cs.RO]Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
    Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
    http://arxiv.org/abs/2111.00262v1

    • [cs.RO]Learning Inertial Odometry for Dynamic Legged Robot State Estimation
    Russell Buchanan, Marco Camurri, Frank Dellaert, Maurice Fallon
    http://arxiv.org/abs/2111.00789v1

    • [cs.RO]Local Trajectory Planning For UAV Autonomous Landing
    Yossi Magrisso, Ehud Rivlin, Hector Rotstein, Oren Salzman
    http://arxiv.org/abs/2111.00495v1

    • [cs.RO]Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans
    Maria Fox, Michael Meredith, J. Alexander Brearley, Dan Jones, Derek Long
    http://arxiv.org/abs/2111.00293v1

    • [cs.RO]MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration
    Yusheng Wang, Weiwei Song, Yi Zhang, Fei Huang, Zhiyong Tu, Yidong Lou
    http://arxiv.org/abs/2111.00762v1

    • [cs.RO]Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps
    Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu
    http://arxiv.org/abs/2111.00067v1

    • [cs.RO]Piezoelectric Soft Robot Inchworm Motion by Controlling Ground Friction through Robot Shape
    Zhiwu Zheng, Prakhar Kumar, Yenan Chen, Hsin Cheng, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm
    http://arxiv.org/abs/2111.00944v1

    • [cs.RO]ReSkin: versatile, replaceable, lasting tactile skins
    Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta
    http://arxiv.org/abs/2111.00071v1

    • [cs.RO]Relevant Region Sampling Strategy with Adaptive Heuristic Estimation for Asymptotically Optimal Motion Planning
    Chenming Li, Fei Meng, Han Ma, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2111.00383v1

    • [cs.RO]Robot Learning from Randomized Simulations: A Review
    Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
    http://arxiv.org/abs/2111.00956v1

    • [cs.RO]Shape Programmable Magnetic Pixel Soft Robot
    Ran Zhao, Hanchen Yao, Houde Dai
    http://arxiv.org/abs/2111.00422v1

    • [cs.RO]Stitching Dynamic Movement Primitives and Image-based Visual Servo Control
    Ghananeel Rotithor, Iman Salehi, Edward Tunstel, Ashwin P. Dani
    http://arxiv.org/abs/2111.00088v1

    • [cs.RO]Validate on Sim, Detect on Real — Model Selection for Domain Randomization
    Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar
    http://arxiv.org/abs/2111.00765v1

    • [cs.SD]A Novel 1D State Space for Efficient Music Rhythmic Analysis
    Mojtaba Heydari, Matthew McCallum, Andreas Ehmann, Zhiyao Duan
    http://arxiv.org/abs/2111.00704v1

    • [cs.SD]Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
    Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
    http://arxiv.org/abs/2111.00195v1

    • [cs.SD]RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
    Shengyuan Xu, Wenxiao Zhao, Jing Guo
    http://arxiv.org/abs/2111.00962v1

    • [cs.SD]Speech Emotion Recognition Using Quaternion Convolutional Neural Networks
    Aneesh Muppidi, Martin Radfar
    http://arxiv.org/abs/2111.00404v1

    • [cs.SE]Application-Platform Co-Design for Serverless Data Processing
    Sebastian Werner, Stefan Tai
    http://arxiv.org/abs/2111.00933v1

    • [cs.SE]Encoding Program as Image: Evaluating Visual Representation of Source Code
    Md Rafiqul Islam Rabin, Mohammad Amin Alipour
    http://arxiv.org/abs/2111.01097v1

    • [cs.SE]Text Classification for Task-based Source Code Related Questions
    Sairamvinay Vijayaraghavan, Jinxiao Song, David Tomassi, Siddhartha Punj, Jailan Sabet
    http://arxiv.org/abs/2111.00580v1

    • [cs.SI]A network-based approach to QAnon user dynamics during COVID-19 infodemic
    Wentao Xu, Kazutoshi Sasahara
    http://arxiv.org/abs/2111.00537v1

    • [cs.SI]Algorithms for Interference Minimization in Future Wireless Network Decomposition
    Péter L. Erdős, Tamás Róbert Mezei, Yiding Yu, Xiang Chen, Wei Han, Bo Bai
    http://arxiv.org/abs/2111.00885v1

    • [cs.SI]Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter
    Tanvi Karandikar, Avinash Prabhu, Avinash Tulasi, Arun Balaji Buduru, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2110.15923v2

    • [cs.SI]FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks
    Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen
    http://arxiv.org/abs/2111.00463v1

    • [cs.SI]Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks
    Govind Sharma, Paarth Gupta, M. Narasihma Murty
    http://arxiv.org/abs/2111.00256v1

    • [cs.SI]My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
    Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
    http://arxiv.org/abs/2111.00562v1

    • [cs.SI]Reddit and the Fourth Estate: Exploring the magnitude and effects of media influence on community level moderation on Reddit
    Hussam Habib, Rishab Nithyanand
    http://arxiv.org/abs/2111.00084v1

    • [econ.TH]Expanding Multi-Market Monopoly and Nonconcavity in the Value of Information
    Stefan Behringer
    http://arxiv.org/abs/2111.00839v1

    • [eess.AS]Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network
    Midia Yousefi, John H. L. Hansen
    http://arxiv.org/abs/2111.00316v1

    • [eess.AS]Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model
    Martin Kocour, Kateřina Žmolíková, Lucas Ondel, Ján Švec, Marc Delcroix, Tsubasa Ochiai, Lukáš Burget, Jan Černocký
    http://arxiv.org/abs/2111.00009v1

    • [eess.AS]Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition
    Midia Yousefi, John H. L. Hanse
    http://arxiv.org/abs/2111.00320v1

    • [eess.IV]Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
    Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
    http://arxiv.org/abs/2111.00528v1

    • [eess.IV]Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy
    Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes
    http://arxiv.org/abs/2111.01093v1

    • [eess.IV]Cross-Modality Fusion Transformer for Multispectral Object Detection
    Fang Qingyun, Han Dapeng, Wang Zhaokui
    http://arxiv.org/abs/2111.00273v1

    • [eess.IV]Dual Attention Network for Heart Rate and Respiratory Rate Estimation
    Yuzhuo Ren, Braeden Syrnyk, Niranjan Avadhanam
    http://arxiv.org/abs/2111.00390v1

    • [eess.IV]Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction
    Lucilio Cordero-Grande, Juan Enrique Ortuño-Fisac, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María Jesús Ledesma-Carbayo
    http://arxiv.org/abs/2111.00102v1

    • [eess.IV]Focal Attention Networks: optimising attention for biomedical image segmentation
    Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
    http://arxiv.org/abs/2111.00534v1

    • [eess.IV]Functional Neural Networks for Parametric Image Restoration Problems
    Fangzhou Luo, Xiaolin Wu, Yanhui Guo
    http://arxiv.org/abs/2111.00361v1

    • [eess.IV]IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration
    Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda
    http://arxiv.org/abs/2111.00484v1

    • [eess.IV]Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
    Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
    http://arxiv.org/abs/2111.00533v1

    • [eess.IV]Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study
    Ranjana Roy Chowdhury, Deepti R. Bathula
    http://arxiv.org/abs/2111.00698v1

    • [eess.IV]M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
    Qing Liu, Haotian Liu, Yixiong Liang
    http://arxiv.org/abs/2111.00193v1

    • [eess.IV]Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
    Md Mahfuzur Rahman Siddiquee, Andriy Myronenko
    http://arxiv.org/abs/2111.00742v1

    • [eess.IV]Self-Verification in Image Denoising
    Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley
    http://arxiv.org/abs/2111.00666v1

    • [eess.IV]Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM
    Muhammad Ilyas Patel, Shrey Singla, Razeem Ahmad Ali Mattathodi, Sumit Sharma, Deepam Gautam, Srinivasa Rao Kundeti
    http://arxiv.org/abs/2111.00837v1

    • [eess.IV]TorchXRayVision: A library of chest X-ray datasets and models
    Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand
    http://arxiv.org/abs/2111.00595v1

    • [eess.IV]Unpaired Learning for High Dynamic Range Image Tone Mapping
    Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal
    http://arxiv.org/abs/2111.00219v1

    • [eess.SP]Learning to Detect Open Carry and Concealed Object with 77GHz Radar
    Xiangyu Gao, Hui Liu, Sumit Roy, Guanbin Xing, Ali Alansari, Youchen Luo
    http://arxiv.org/abs/2111.00551v1

    • [eess.SP]Von Mises Tapering: A New Circular Windowing
    H. M. de Oliveira, R. J. Cintra
    http://arxiv.org/abs/2111.00188v1

    • [eess.SY]Graph Neural Network based scheduling : Improved throughput under a generalized interference model
    S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru, Bhavesh Jain, Eitan Altman
    http://arxiv.org/abs/2111.00459v1

    • [eess.SY]Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
    Yingying Li, Subhro Das, Jeff Shamma, Na Li
    http://arxiv.org/abs/2111.00411v1

    • [gr-qc]Swift sky localization of gravitational waves using deep learning seeded importance sampling
    Alex Kolmus, Grégory Baltus, Justin Janquart, Twan van Laarhoven, Sarah Caudill, Tom Heskes
    http://arxiv.org/abs/2111.00833v1

    • [math.LO]Gács-Kučera’s Theorem Revisited by Levin
    Alexander Shen
    http://arxiv.org/abs/2111.00516v1

    • [math.MG]Properties of Parabola-Inscribed Poncelet Polygons
    Filipe Bellio, Ronaldo Garcia, Dan Reznik
    http://arxiv.org/abs/2111.00979v1

    • [math.NA]Approximation properties of Residual Neural Networks for Kolmogorov PDEs
    Jonas Baggenstos, Diyora Salimova
    http://arxiv.org/abs/2111.00215v1

    • [math.OC]STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
    Kfir Y. Levy, Ali Kavis, Volkan Cevher
    http://arxiv.org/abs/2111.01040v1

    • [math.PR]Edgeworth expansions for volatility models
    Moritz Jirak
    http://arxiv.org/abs/2111.00529v1

    • [math.PR]Non-reversible processes: GENERIC, Hypocoercivity and fluctuations
    Manh Hong Duong, Michela Ottobre
    http://arxiv.org/abs/2111.00286v1

    • [math.PR]On The Absolute Constant in Hanson-Wright Inequality
    Kamyar Moshksar
    http://arxiv.org/abs/2111.00557v1

    • [math.PR]Shift-invariant homogeneous classes of random fields
    Enkelejd Hashorva
    http://arxiv.org/abs/2111.00792v1

    • [math.ST]Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method
    Robert E. Gaunt, Gesine Reinert
    http://arxiv.org/abs/2111.00949v1

    • [math.ST]Concentration bounds for the extremal variogram
    Sebastian Engelke, Michaël Lalancette, Stanislav Volgushev
    http://arxiv.org/abs/2111.00840v1

    • [math.ST]Extended probabilities in Statistics
    Michele Caprio, Sayan Mukherjee
    http://arxiv.org/abs/2111.01050v1

    • [math.ST]Inadmissibility of Equivariant Estimators of Order Restricted Location/Scale Parameters of a General Bivariate Distribution Under General Loss function And Their Improvements
    Naresh Garg, Neeraj Misra
    http://arxiv.org/abs/2111.00730v1

    • [math.ST]Phase-type mixture-of-experts regression for loss severities
    Martin Bladt, Jorge Yslas
    http://arxiv.org/abs/2111.00581v1

    • [math.ST]Statistical Inference in Parametric Preferential Attachment Trees
    Fengnan Gao, Aad van der Vaart
    http://arxiv.org/abs/2111.00832v1

    • [math.ST]Support Recovery with Stochastic Gates: Theory and Application for Linear Models
    Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
    http://arxiv.org/abs/2110.15960v2

    • [physics.flu-dyn]A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
    Qi Gao, Hongtao Lin, Han Tu, Haoran Zhu, Runjie Wei, Guoping Zhang, Xueming Shao
    http://arxiv.org/abs/2111.00395v1

    • [physics.flu-dyn]Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
    Haitz Sáez de Ocáriz Borde, David Sondak, Pavlos Protopapas
    http://arxiv.org/abs/2111.00328v1

    • [physics.med-ph]DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy
    Mumtaz Hussain Soomro, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh, Jeffrey V. Siebers
    http://arxiv.org/abs/2111.00077v1

    • [physics.soc-ph]Linking theory and empirics: a general framework to model opinion formation processes
    Ivan V. Kozitsin
    http://arxiv.org/abs/2111.01033v1

    • [q-bio.GN]High-dimensional multi-trait GWAS by reverse prediction of genotypes
    Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel
    http://arxiv.org/abs/2111.00108v1

    • [quant-ph]Exponent in Smoothing the Max-Relative Entropy and Its Application to Quantum Privacy Amplification
    Ke Li, Yongsheng Yao
    http://arxiv.org/abs/2111.01075v1

    • [stat.AP]Inference in epidemiological agent-based models using ensemble-based data assimilation
    Tadeo Javier Cocucci, Manuel Pulido, Juan Aparicio, Juan Ruiz, Ignacio Simoy, Santiago Rosa
    http://arxiv.org/abs/2111.00073v1

    • [stat.AP]Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
    Younes Boulaguiem, Jakob Zscheischler, Edoardo Vignotto, Karin van der Wiel, Sebastian Engelke
    http://arxiv.org/abs/2111.00267v1

    • [stat.AP]Principal Component Pursuit for Pattern Identification in Environmental Mixtures
    Elizabeth A. Gibson, Junhui Zhang, Jingkai Yan, Lawrence Chillrud, Jaime Benavides, Yanelli Nunez, Julie B. Herbstman, Jeff Goldsmith, John Wright, Marianthi-Anna Kioumourtzoglou
    http://arxiv.org/abs/2111.00104v1

    • [stat.AP]The Missing Covariate Indicator Method is Nearly Valid Almost Always
    Mingyang Song, Xin Zhou, Mathew Pazaris, Donna Spiegelman
    http://arxiv.org/abs/2111.00138v1

    • [stat.AP]Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals
    Michael Stanley, Pratik Patil, Mikael Kuusela
    http://arxiv.org/abs/2111.01091v1

    • [stat.AP]Unpacking uncertainty in the modelling process for energy policy making
    Samuele Lo Piano, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, Jeroen P. van der Sluijs
    http://arxiv.org/abs/2111.00782v1

    • [stat.CO]Parallel-and-stream accelerator for computationally fast supervised learning
    Emily C. Hector, Lan Luo, Peter X. -K. Song
    http://arxiv.org/abs/2111.00032v1

    • [stat.ME]Bayesian surface regression versus spatial spectral nonparametric curve regression
    M. D. Ruiz-Medina, D. Miranda
    http://arxiv.org/abs/2111.00302v1

    • [stat.ME]Non-parametric multimodel Regiona
    1000
    l Frequency Analysis applied to climate change detection and attribution
    Philomène Le Gall, Anne-Catherine Favre, Philippe Naveau, Alexandre Tuel
    http://arxiv.org/abs/2111.00798v1

    • [stat.ME]Pearson Chi-squared Conditional Randomization Test
    Adel Javanmard, Mohammad Mehrabi
    http://arxiv.org/abs/2111.00027v1

    • [stat.ME]Posterior Inference for Quantile Regression: Adaptation to Sparsity
    Yuanzhi Li, Xuming He
    http://arxiv.org/abs/2111.00642v1

    • [stat.ME]Spatio-temporal Modeling of Zero-Inflated Count: Efficient Posterior Computation and Application to Monitoring Capelin Distribution in the Barents Sea
    Shonosuke Sugasawa, Tomoyuki Nakagawa, Hiroko Kato Solvang, Sam Subbey, Salah Alrabeei
    http://arxiv.org/abs/2111.00964v1

    • [stat.ME]Testing semiparametric model-equivalence hypotheses based on the characteristic function
    Feifei Chen, Simos G. Meintanis, Lixing Zhu
    http://arxiv.org/abs/2111.00280v1

    • [stat.ME]The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
    Finn Lindgren, David Bolin, Håvard Rue
    http://arxiv.org/abs/2111.01084v1

    • [stat.ML]Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
    Bora Keskin, David Simchi-Levi, Prem Talwai
    http://arxiv.org/abs/2111.00790v1

    • [stat.ML]Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling
    Nina Deliu, Joseph J. Williams, Sofia S. Villar
    http://arxiv.org/abs/2111.00137v1

    • [stat.ML]End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
    Tomoharu Iwata
    http://arxiv.org/abs/2111.00639v1

    • [stat.ML]Free Probability, Newton lilypads and Jacobians of neural networks
    Reda Chhaibi, Tariq Daouda, Ezechiel Kahn
    http://arxiv.org/abs/2111.00841v1

    • [stat.ML]Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
    Eduardo Pavez
    http://arxiv.org/abs/2111.00590v1

    • [stat.ML]Learning generative models for valid knockoffs using novel multivariate-rank based statistics
    Shoaib Bin Masud, Shuchin Aeron
    http://arxiv.org/abs/2111.00043v1

    • [stat.ML]Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
    Ruixuan Zhao, Xin He, Junhui Wang
    http://arxiv.org/abs/2111.00740v1

    • [stat.ML]NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
    Ben Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, Manolis Kellis
    http://arxiv.org/abs/2111.01104v1

    • [stat.ML]Neural Networks as Kernel Learners: The Silent Alignment Effect
    Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
    http://arxiv.org/abs/2111.00034v1

    • [stat.ML]PCA-based Multi Task Learning: a Random Matrix Approach
    Malik Tiomoko, Romain Couillet, Frédéric Pascal
    http://arxiv.org/abs/2111.00924v1

    • [stat.ML]Robust and efficient change point detection using novel multivariate rank-energy GoF test
    Shoaib Bin Masud, Shuchin Aeron
    http://arxiv.org/abs/2111.00047v1

    • [stat.ML]Uncertainty quantification for ptychography using normalizing flows
    Agnimitra Dasgupta, Zichao Wendy Di
    http://arxiv.org/abs/2111.00745v1