cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.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
    math.OC - 优化与控制
    math.ST - 统计理论
    nlin.CG - 细胞自动机与晶格气
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
    • [cs.AI]Adapting Procedural Content Generation to Player Personas Through Evolution
    • [cs.AI]Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training
    • [cs.AI]Pretrained Cost Model for Distributed Constraint Optimization Problems
    • [cs.AI]TempAMLSI : Temporal Action Model Learning based on Grammar Induction
    • [cs.AR]Energy-Efficient Deflection-based On-chip Networks: Topology, Routing, Flow Control
    • [cs.CL]Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
    • [cs.CL]Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
    • [cs.CL]Emotion-Cause Pair Extraction in Customer Reviews
    • [cs.CL]Ethical and social risks of harm from Language Models
    • [cs.CL]FreeTalky: Don’t Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
    • [cs.CL]Improving language models by retrieving from trillions of tokens
    • [cs.CL]JABER: Junior Arabic BERt
    • [cs.CL]Learning to Select the Next Reasonable Mention for Entity Linking
    • [cs.CL]Multinational Address Parsing: A Zero-Shot Evaluation
    • [cs.CL]VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
    • [cs.CL]Zero-Shot Recommendation as Language Modeling
    • [cs.CL]raceBERT — A Transformer-based Model for Predicting Race and Ethnicity from Names
    • [cs.CR]Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
    • [cs.CR]Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
    • [cs.CV]A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos
    • [cs.CV]A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection
    • [cs.CV]Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection
    • [cs.CV]Adversarial Parametric Pose Prior
    • [cs.CV]Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
    • [cs.CV]Assessing a Single Image in Reference-Guided Image Synthesis
    • [cs.CV]Audio-Visual Synchronisation in the wild
    • [cs.CV]Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
    • [cs.CV]BA-Net: Bridge Attention for Deep Convolutional Neural Networks
    • [cs.CV]Boosting Contrastive Learning with Relation Knowledge Distillation
    • [cs.CV]Burn After Reading: Online Adaptation for Cross-domain Streaming Data
    • [cs.CV]Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
    • [cs.CV]Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
    • [cs.CV]Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
    • [cs.CV]DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather
    • [cs.CV]DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification
    • [cs.CV]Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
    • [cs.CV]Everything at Once — Multi-modal Fusion Transformer for Video Retrieval
    • [cs.CV]Exploring Temporal Granularity in Self-Supervised Video Representation Learning
    • [cs.CV]FLAVA: A Foundational Language And Vision Alignment Model
    • [cs.CV]FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving
    • [cs.CV]Feature Statistics Mixing Regularization for Generative Adversarial Networks
    • [cs.CV]Feature matching for multi-epoch historical aerial images
    • [cs.CV]Few-Shot Image Classification Along Sparse Graphs
    • [cs.CV]Fully Attentional Network for Semantic Segmentation
    • [cs.CV]Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
    • [cs.CV]GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection
    • [cs.CV]GPCO: An Unsupervised Green Point Cloud Odometry Method
    • [cs.CV]Garment4D: Garment Reconstruction from Point Cloud Sequences
    • [cs.CV]Image classifiers can not be made robust to small perturbations
    • [cs.CV]MLP Architectures for Vision-and-Language Modeling: An Empirical Study
    • [cs.CV]Neural Points: Point Cloud Representation with Neural Fields
    • [cs.CV]On visual self-supervision and its effect on model robustness
    • [cs.CV]Presentation Attack Detection Methods based on Gaze Tracking and Pupil Dynamic: A Comprehensive Survey
    • [cs.CV]Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
    • [cs.CV]Prompting Visual-Language Models for Efficient Video Understanding
    • [cs.CV]Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection
    • [cs.CV]SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization
    • [cs.CV]Scalable 3D Semantic Segmentation for Gun Detection in CT Scans
    • [cs.CV]Self-Supervised Models are Continual Learners
    • [cs.CV]Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis
    • [cs.CV]SimulSLT: End-to-End Simultaneous Sign Language Translation
    • [cs.CV]SoK: Vehicle Orientation Representations for Deep Rotation Estimation
    • [cs.CV]Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
    • [cs.CV]Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
    • [cs.CV]Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition
    • [cs.CV]Tracking People by Predicting 3D Appearance, Location & Pose
    • [cs.CV]Transformal
    115d
    y — Two (Feature Spaces) Are Better Than One
    • [cs.CV]Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
    • [cs.CV]Unimodal Face Classification with Multimodal Training
    • [cs.CV]VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
    • [cs.CV]Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
    • [cs.CV]What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
    • [cs.CV]What’s Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction
    • [cs.CY]Designing a Dashboard for Student Teamwork Analysis
    • [cs.DC]Designing a Real-Time IoT Data Streaming Testbed for Horizontally Scalable Analytical Platforms: Czech Post Case Study
    • [cs.DC]Improved Distributed Fractional Coloring Algorithms
    • [cs.DC]SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning
    • [cs.GT]Equity Promotion in Online Resource Allocation
    • [cs.GT]Truth-tracking via Approval Voting: Size Matters
    • [cs.HC]An Investigation of Drivers’ Dynamic Situational Trust in Conditionally Automated Driving
    • [cs.IR]Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
    • [cs.IR]Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
    • [cs.IT]A Preamble Based MAC Mechanism in Ad-Hoc Network
    • [cs.IT]Active Sensing for Communications by Learning
    • [cs.IT]Asymptotic MIMO Channel Model for Diffusive MC with Fully-absorbing Receivers
    • [cs.IT]Convolutional codes with a maximum distance profile based on skew polynomials
    • [cs.IT]Data-aided Sensing where Communication and Sensing Meet: An Introduction
    • [cs.IT]Information fractal dimension of mass function
    • [cs.IT]On the Average Mutual Information of MIMO Keyhole Channels with Finite Inputs
    • [cs.IT]Opportunistic Relay Selection over Generalized Fading and Inverse Gamma Composite Fading Mixed Multicast Channels: A Secrecy Tradeoff
    • [cs.IT]Simple Fair Power Allocation for NOMA-Based Visible Light Communication Systems
    • [cs.IT]The b-symbol weight hierarchy of the Kasami codes
    • [cs.LG]A Fast Algorithm for PAC Combinatorial Pure Exploration
    • [cs.LG]A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules
    • [cs.LG]Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
    • [cs.LG]Application of Deep Reinforcement Learning to Payment Fraud
    • [cs.LG]Best Arm Identification under Additive Transfer Bandits
    • [cs.LG]CoMPS: Continual Meta Policy Search
    • [cs.LG]Convergence Guarantees for Deep Epsilon Greedy Policy Learning
    • [cs.LG]Convergence Results For Q-Learning With Experience Replay
    • [cs.LG]Enhancing Counterfactual Classification via Self-Training
    • [cs.LG]FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
    • [cs.LG]Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
    • [cs.LG]Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization
    • [cs.LG]KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators
    • [cs.LG]Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
    • [cs.LG]Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
    • [cs.LG]Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    • [cs.LG]Non parametric estimation of causal populations in a counterfactual scenario
    • [cs.LG]On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
    • [cs.LG]PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay
    • [cs.LG]Pairwise Learning for Neural Link Prediction
    • [cs.LG]Pareto Domain Adaptation
    • [cs.LG]RID-Noise: Towards Robust Inverse Design under Noisy Environments
    • [cs.LG]Replay For Safety
    • [cs.LG]Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
    • [cs.LG]SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
    • [cs.LG]ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
    • [cs.LG]Specializing Versatile Skill Libraries using Local Mixture of Experts
    • [cs.LG]Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project
    • [cs.LG]Tell me why! — Explanations support learning of relational and causal structure
    • [cs.LG]The Effect of Model Size on Worst-Group Generalization
    • [cs.LG]Trainability for Universal GNNs Through Surgical Randomness
    • [cs.LG]Unsupervised Representation Learning via Neural Activation Coding
    • [cs.NE]Relating transformers to models and neural representations of the hippocampal formation
    • [cs.NI]Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
    • [cs.RO]Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
    • [cs.RO]CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
    • [cs.RO]Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
    • [cs.RO]Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles
    • [cs.RO]Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities
    • [cs.RO]Transformer based trajectory prediction
    • [cs.RO]iRoPro: An interactive Robot Programming Framework
    • [cs.SD]Learning music audio representations via weak language supervision
    • [cs.SD]Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
    • [cs.SE]DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs
    • [cs.SI]A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection
    • [cs.SI]Improving the Training of Graph Neural Networks with Consistency Regularization
    • [cs.SI]Mixed Membership Distribution-Free model
    • [cs.SI]PageRank for Edges: Axiomatic Characterization
    • [cs.SI]Stochastic Bounded Confidence Opinion Dynamics: How Far Apart Do Opinions Drift?
    • [cs.SI]Topology and Geometry of the Third-Party Domains Ecosystem
    • [cs.SI]Uncovering the Local Hidden Community Structure in Social Networks
    • [econ.TH]Aggregation of Pareto optimal models
    • [eess.AS]A study on native American English speech recognition by Indian listeners with varying word familiarity level
    • [eess.AS]Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
    • [eess.IV]Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting
    • [eess.IV]BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
    • [eess.IV]Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data
    • [eess.IV]GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration
    • [eess.IV]Implicit Neural Representations for Image Compression
    • [eess.IV]Learning Pixel-Adaptive Weights for Portrait Photo Retouching
    • [eess.IV]Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
    • [eess.IV]Reverse image filtering using total derivative approximation and accelerated gradient descent
    • [eess.IV]Which images to label for few-shot medical landmark detection?
    • [eess.SP]Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
    • [eess.SP]Testing for Causal Influence using a Partial Coherence Statistic
    • [eess.SY]Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
    • [eess.SY]Tailored neural networks for learning optimal value functions in MPC
    • [math.OC]COSMIC: fast closed-form identification from
    2000
    large-scale data for LTV systems
    • [math.OC]Learning Linear Models Using Distributed Iterative Hessian Sketching
    • [math.OC]Posterior linearisation smoothing with robust iterations
    • [math.ST]Consistency of Spectral Seriation
    • [math.ST]Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
    • [math.ST]Robust parameter estimation of regression model with weaker moment
    • [nlin.CG]Passenger Network Ridership Model Through a BRT System, the case of TransMilenio in Bogotá
    • [physics.soc-ph]Communication Now and Then: Analyzing the Republic of Letters as a Communication Network
    • [q-bio.NC]A deep learning model for data-driven discovery of functional connectivity
    • [q-bio.NC]Modeling Spatio-Temporal Dynamics in Brain Networks: A Comparison of Graph Neural Network Architectures
    • [quant-ph]Experimental Characterization of Fault-Tolerant Circuits in Small-Scale Quantum Processors
    • [quant-ph]Reliable Simulation of Quantum Channels
    • [stat.AP]Bayesian Modeling of Effective and Functional Brain Connectivity using Hierarchical Vector Autoregressions
    • [stat.AP]Hybrid Data-driven Framework for Shale Gas Production Performance Analysis via Game Theory, Machine Learning and Optimization Approaches
    • [stat.ME]A causal approach to functional mediation analysis with application to a smoking cessation intervention
    • [stat.ME]A semi-group approach to Principal Component Analysis
    • [stat.ME]A stableness of resistance model for nonresponse adjustment with callback data
    • [stat.ME]Change-point Detection for Piecewise Exponential Models
    • [stat.ME]Determinantal shot noise Cox processes
    • [stat.ME]Matching for causal effects via multimarginal optimal transport
    • [stat.ME]Pearson’s Goodness-of-Fit Tests for Sparse Distributions
    • [stat.ME]Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules
    • [stat.ME]Statistical Inference for Large-dimensional Matrix Factor Model from Least Squares and Huber Loss Points of View
    • [stat.ML]Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
    • [stat.ML]Multiway Ensemble Kalman Filter
    • [stat.ML]Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression

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

    • [cs.AI]A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
    Jiajun Fan
    http://arxiv.org/abs/2112.04145v1

    • [cs.AI]Adapting Procedural Content Generation to Player Personas Through Evolution
    Pedro M. Fernandes, Jonathan Jørgensen, Niels N. T. G. Poldervaart
    http://arxiv.org/abs/2112.04406v1

    • [cs.AI]Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training
    Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Chen Hui, Huajun Chen
    http://arxiv.org/abs/2112.04087v1

    • [cs.AI]Pretrained Cost Model for Distributed Constraint Optimization Problems
    Yanchen Deng, Shufeng Kong, Bo An
    http://arxiv.org/abs/2112.04187v1

    • [cs.AI]TempAMLSI : Temporal Action Model Learning based on Grammar Induction
    Maxence Grand, Damien Pellier, Humbert Fiorino
    http://arxiv.org/abs/2112.04286v1

    • [cs.AR]Energy-Efficient Deflection-based On-chip Networks: Topology, Routing, Flow Control
    Rachata Ausavarungnirun, Onur Mutlu
    http://arxiv.org/abs/2112.02516v2

    • [cs.CL]Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
    Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
    http://arxiv.org/abs/2112.04139v1

    • [cs.CL]Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
    Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine
    http://arxiv.org/abs/2112.04344v1

    • [cs.CL]Emotion-Cause Pair Extraction in Customer Reviews
    Arpit Mittal, Jeel Tejaskumar Vaishnav, Aishwarya Kaliki, Nathan Johns, Wyatt Pease
    http://arxiv.org/abs/2112.03984v1

    • [cs.CL]Ethical and social risks of harm from Language Models
    Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
    http://arxiv.org/abs/2112.04359v1

    • [cs.CL]FreeTalky: Don’t Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
    Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim
    http://arxiv.org/abs/2112.04126v1

    • [cs.CL]Improving language models by retrieving from trillions of tokens
    Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Trevor Cai, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
    http://arxiv.org/abs/2112.04426v1

    • [cs.CL]JABER: Junior Arabic BERt
    Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais
    http://arxiv.org/abs/2112.04329v1

    • [cs.CL]Learning to Select the Next Reasonable Mention for Entity Linking
    Jian Sun, Yu Zhou, Chengqing Zong
    http://arxiv.org/abs/2112.04104v1

    • [cs.CL]Multinational Address Parsing: A Zero-Shot Evaluation
    Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne
    http://arxiv.org/abs/2112.04008v1

    • [cs.CL]VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
    Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen
    http://arxiv.org/abs/2112.04195v1

    • [cs.CL]Zero-Shot Recommendation as Language Modeling
    Damien Sileo, Wout Vossen, Robbe Raymaekers
    http://arxiv.org/abs/2112.04184v1

    • [cs.CL]raceBERT — A Transformer-based Model for Predicting Race and Ethnicity from Names
    Prasanna Parasurama
    http://arxiv.org/abs/2112.03807v2

    • [cs.CR]Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost
    Wuxing Xu, Hao Fan, Kaixin Li, Kai Yang
    http://arxiv.org/abs/2112.04261v1

    • [cs.CR]Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
    Andrei Brazhuk
    http://arxiv.org/abs/2112.04231v1

    • [cs.CV]A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos
    Xianlin Zeng, Yalong Jiang, Wenrui Ding, Hongguang Li, Yafeng Hao, Zifeng Qiu
    http://arxiv.org/abs/2112.04294v1

    • [cs.CV]A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection
    Nana Kankam Gyimah, Abenezer Girma, Mahmoud Nabil Mahmoud, Shamila Nateghi, Abdollah Homaifar, Daniel Opoku
    http://arxiv.org/abs/2112.04021v1

    • [cs.CV]Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection
    Huajun Zhou, Peijia Chen, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie
    http://arxiv.org/abs/2112.03650v2

    • [cs.CV]Adversarial Parametric Pose Prior
    Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2112.04203v1

    • [cs.CV]Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
    Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko
    http://arxiv.org/abs/2112.04283v1

    • [cs.CV]Assessing a Single Image in Reference-Guided Image Synthesis
    Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang
    http://arxiv.org/abs/2112.04163v1

    • [cs.CV]Audio-Visual Synchronisation in the wild
    Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman
    http://arxiv.org/abs/2112.04432v1

    • [cs.CV]Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
    Amirhossein Dadashzadeh, Alan Whone, Majid Mirmehdi
    http://arxiv.org/abs/2112.04011v1

    • [cs.CV]BA-Net: Bridge Attention for Deep Convolutional Neural Networks
    Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang
    http://arxiv.org/abs/2112.04150v1

    • [cs.CV]Boosting Contrastive Learning with Relation Knowledge Distillation
    Kai Zheng, Yuanjiang Wang, Ye Yuan
    http://arxiv.org/abs/2112.04174v1

    • [cs.CV]Burn After Reading: Online Adaptation for Cross-domain Streaming Data
    Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah
    http://arxiv.org/abs/2112.04345v1

    • [cs.CV]Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs
    Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao
    http://arxiv.org/abs/2112.04222v1

    • [cs.CV]Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
    Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang
    http://arxiv.org/abs/2112.04138v1

    • [cs.CV]Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
    Shuhei Yokoo
    http://arxiv.org/abs/2112.04323v1

    • [cs.CV]DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather
    Jing You, Shaocheng Jia, Xin Pei, Danya Yao
    http://arxiv.org/abs/2112.04278v1

    • [cs.CV]DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification
    Hai Phan, Anh Nguyen
    http://arxiv.org/abs/2112.04016v1

    • [cs.CV]Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
    Younes Belkada, Lorenzo Bertoni, Romain Caristan, Taylor Mordan, Alexandre Alahi
    http://arxiv.org/abs/2112.04212v1

    • [cs.CV]Everything at Once — Multi-modal Fusion Transformer for Video Retrieval
    Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Hilde Kuehne
    http://arxiv.org/abs/2112.04446v1

    • [cs.CV]Exploring Temporal Granularity in Self-Supervised Video Representation Learning
    Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui
    http://arxiv.org/abs/2112.04480v1

    • [cs.CV]FLAVA: A Foundational Language And Vision Alignment Model
    Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela
    http://arxiv.org/abs/2112.04482v1

    • [cs.CV]FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving
    Xudong Huang, Chunyu Lin, Haojie Liu, Lang Nie, Yao Zhao
    http://arxiv.org/abs/2112.04401v1

    • [cs.CV]Feature Statistics Mixing Regularization for Generative Adversarial Networks
    Junho Kim, Yunjey Choi, Youngjung Uh
    http://arxiv.org/abs/2112.04120v1

    • [cs.CV]Feature matching for multi-epoch historical aerial images
    Lulin Zhang, Ewelina Rupnik, Marc Pierrot-Deseilligny
    http://arxiv.org/abs/2112.04255v1

    • [cs.CV]Few-Shot Image Classification Along Sparse Graphs
    Joseph F Comer, Philip L Jacobson, Heiko Hoffmann
    http://arxiv.org/abs/2112.03951v1

    • [cs.CV]Fully Attentional Network for Semantic Segmentation
    Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang
    http://arxiv.org/abs/2112.04108v1

    • [cs.CV]Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
    Wendong Zhang, Yunbo Wang, Junwei Zhu, Ying Tai, Bingbing Ni, Xiaokang Yang
    http://arxiv.org/abs/2112.04107v1

    • [cs.CV]GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection
    Sowmen Das, Md. Saiful Islam, Md. Ruhul Amin
    http://arxiv.org/abs/2112.04298v1

    • [cs.CV]GPCO: An Unsupervised Green Point Cloud Odometry Method
    Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo
    http://arxiv.org/abs/2112.04054v1

    • [cs.CV]Garment4D: Garment Reconstruction from Point Cloud Sequences
    Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu
    http://arxiv.org/abs/2112.04159v1

    • [cs.CV]Image classifiers can not be made robust to small perturbations
    Zheng Dai, David K. Gifford
    http://arxiv.org/abs/2112.04033v1

    • [cs.CV]MLP Architectures for Vision-and-Language Modeling: An Empirical Study
    Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang
    http://arxiv.org/abs/2112.04453v1

    • [cs.CV]Neural Points: Point Cloud Representation with Neural Fields
    Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang
    http://arxiv.org/abs/2112.04148v1

    • [cs.CV]On visual self-supervision and its effect on model robustness
    Michal Kucer, Diane Oyen, Garrett Kenyon
    http://arxiv.org/abs/2112.04367v1

    • [cs.CV]Presentation Attack Detection Methods based on Gaze Tracking and Pupil Dynamic: A Comprehensive Survey
    Jalil Nourmohammadi Khiarak
    http://arxiv.org/abs/2112.04038v1

    • [cs.CV]Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
    Zhenxin Wu, Qingliang Chen, Yifeng Liu, Yinqi Zhang, Chengkai Zhu, Yang Yu
    http://arxiv.org/abs/2112.04223v1

    • [cs.CV]Prompting Visual-Language Models for Efficient Video Understanding
    Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie
    http://arxiv.org/abs/2112.04478v1

    • [cs.CV]Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection
    Shoubin Yu, Zhongyin Zhao, Haoshu Fang, Andong Deng, Haisheng Su, Dongliang Wang, Weihao Gan, Cewu Lu, Wei Wu
    http://arxiv.org/abs/2112.03649v2

    • [cs.CV]SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization
    Wenbo Gou, Wen Shi, Jian Lou, Lijie Huang, Pan Zhou, Ruixuan Li
    http://arxiv.org/abs/2112.04154v1

    • [cs.CV]Scalable 3D Semantic Segmentation for Gun Detection in CT Scans
    Marius Memmel, Christoph Reich, Nicolas Wagner, Faraz Saeedan
    http://arxiv.org/abs/2112.03917v1

    • [cs.CV]Self-Supervised Models are Continual Learners
    Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
    http://arxiv.org/abs/2112.04215v1

    • [cs.CV]Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis
    Viktoria Ehm, Daniel Cremers, Florian Bernard
    http://arxiv.org/abs/2112.04165v1

    • [cs.CV]SimulSLT: End-to-End Simultaneous Sign Language Translation
    Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He
    http://arxiv.org/abs/2112.04228v1

    • [cs.CV]SoK: Vehicle Orientation Representations for Deep Rotation Estimation
    Huahong Tu, Siyuan Peng, Vladimir Leung, Richard Gao
    http://arxiv.org/abs/2112.04421v1

    • [cs.CV]Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
    Manlin Zhang, Jinpeng Wang, Andy J. Ma
    http://arxiv.org/abs/2112.03803v2

    • [cs.CV]Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
    Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix
    http://arxiv.org/abs/2112.04162v1

    • [cs.CV]Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition
    Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie
    http://arxiv.org/abs/2112.04178v1

    • [cs.CV]Tracking People by Predicting 3D Appearance, Location & Pose
    Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
    http://arxiv.org/abs/2112.04477v1

    • [cs.CV]Transformal
    115d
    y — Two (Feature Spaces) Are Better Than One
    Matan Jacob Cohen, Shai Avidan
    http://arxiv.org/abs/2112.04185v1

    • [cs.CV]Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
    Ahmed Cheikh Rouhoua, Marwa Dhiaf, Yousri Kessentini, Sinda Ben Salem
    http://arxiv.org/abs/2112.04189v1

    • [cs.CV]Unimodal Face Classification with Multimodal Training
    Wenbin Teng, Chongyang Bai
    http://arxiv.org/abs/2112.04182v1

    • [cs.CV]VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
    Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim
    http://arxiv.org/abs/2112.04177v1

    • [cs.CV]Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
    Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
    http://arxiv.org/abs/2112.04042v1

    • [cs.CV]What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
    Thomas Fel, Julien Colin, Remi Cadene, Thomas Serre
    http://arxiv.org/abs/2112.04417v1

    • [cs.CV]What’s Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction
    Nilesh Kulkarni, Justin Johnson, David F. Fouhey
    http://arxiv.org/abs/2112.04481v1

    • [cs.CY]Designing a Dashboard for Student Teamwork Analysis
    Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
    http://arxiv.org/abs/2112.04465v1

    • [cs.DC]Designing a Real-Time IoT Data Streaming Testbed for Horizontally Scalable Analytical Platforms: Czech Post Case Study
    Martin Štufi, Boris Bačić
    http://arxiv.org/abs/2112.03997v1

    • [cs.DC]Improved Distributed Fractional Coloring Algorithms
    Alkida Balliu, Fabian Kuhn, Dennis Olivetti
    http://arxiv.org/abs/2112.04405v1

    • [cs.DC]SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning
    Xiaoge Deng, Tao Sun, Dongsheng Li
    http://arxiv.org/abs/2112.04088v1

    • [cs.GT]Equity Promotion in Online Resource Allocation
    Pan Xu, Yifan Xu
    http://arxiv.org/abs/2112.04169v1

    • [cs.GT]Truth-tracking via Approval Voting: Size Matters
    Tahar Allouche, Jérôme Lang, Florian Yger
    http://arxiv.org/abs/2112.04387v1

    • [cs.HC]An Investigation of Drivers’ Dynamic Situational Trust in Conditionally Automated Driving
    Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, Feng Zhou
    http://arxiv.org/abs/2112.04095v1

    • [cs.IR]Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
    Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon
    http://arxiv.org/abs/2112.04090v1

    • [cs.IR]Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
    Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
    http://arxiv.org/abs/2112.04368v1

    • [cs.IT]A Preamble Based MAC Mechanism in Ad-Hoc Network
    Chenchao Shi, Biqian Feng, Yongpeng Wu, Wenjun Zhang
    http://arxiv.org/abs/2112.04112v1

    • [cs.IT]Active Sensing for Communications by Learning
    Foad Sohrabi, Tao Jiang, Wei Cui, Wei Yu
    http://arxiv.org/abs/2112.04075v1

    • [cs.IT]Asymptotic MIMO Channel Model for Diffusive MC with Fully-absorbing Receivers
    Fardad Vakilipoor, Marco Ferrari, Maurizio Magarini
    http://arxiv.org/abs/2112.04046v1

    • [cs.IT]Convolutional codes with a maximum distance profile based on skew polynomials
    Zitan Chen
    http://arxiv.org/abs/2112.04118v1

    • [cs.IT]Data-aided Sensing where Communication and Sensing Meet: An Introduction
    Jinho Choi
    http://arxiv.org/abs/2112.04005v1

    • [cs.IT]Information fractal dimension of mass function
    Chenhui Qiang, Yong Deng, Kang Hao Cheong
    http://arxiv.org/abs/2112.04246v1

    • [cs.IT]On the Average Mutual Information of MIMO Keyhole Channels with Finite Inputs
    Chongjun Ouyang, Yuanwei Liu, Julian Cheng, Ralf R. Mül
    1000
    ler, Hongwen Yang
    http://arxiv.org/abs/2112.04415v1

    • [cs.IT]Opportunistic Relay Selection over Generalized Fading and Inverse Gamma Composite Fading Mixed Multicast Channels: A Secrecy Tradeoff
    MD. Shakhawat Hossen, A. S. M. Badrudduza, S. M. Riazul Islam, Abu Hanif, Milton Kumar Kundu, Kyung-Sup Kwak
    http://arxiv.org/abs/2112.04392v1

    • [cs.IT]Simple Fair Power Allocation for NOMA-Based Visible Light Communication Systems
    Carlos Alberto Rodríguez López, Vitalio Alfonso Reguera
    http://arxiv.org/abs/2112.04410v1

    • [cs.IT]The b-symbol weight hierarchy of the Kasami codes
    Hongwei Zhu, Minjia Shi
    http://arxiv.org/abs/2112.04019v1

    • [cs.LG]A Fast Algorithm for PAC Combinatorial Pure Exploration
    Noa Ben-David, Sivan Sabato
    http://arxiv.org/abs/2112.04197v1

    • [cs.LG]A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules
    Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
    http://arxiv.org/abs/2112.04041v1

    • [cs.LG]Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
    Nikos Arechiga, Francine Chen, Yan-Ying Chen, Yanxia Zhang, Rumen Iliev, Heishiro Toyoda, Kent Lyons
    http://arxiv.org/abs/2112.04023v1

    • [cs.LG]Application of Deep Reinforcement Learning to Payment Fraud
    Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama
    http://arxiv.org/abs/2112.04236v1

    • [cs.LG]Best Arm Identification under Additive Transfer Bandits
    Ojash Neopane, Aaditya Ramdas, Aarti Singh
    http://arxiv.org/abs/2112.04083v1

    • [cs.LG]CoMPS: Continual Meta Policy Search
    Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine
    http://arxiv.org/abs/2112.04467v1

    • [cs.LG]Convergence Guarantees for Deep Epsilon Greedy Policy Learning
    Michael Rawson, Radu Balan
    http://arxiv.org/abs/2112.03376v1

    • [cs.LG]Convergence Results For Q-Learning With Experience Replay
    Liran Szlak, Ohad Shamir
    http://arxiv.org/abs/2112.04213v1

    • [cs.LG]Enhancing Counterfactual Classification via Self-Training
    Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
    http://arxiv.org/abs/2112.04461v1

    • [cs.LG]FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning
    Keyu Yang, Lu Chen, Zhihao Zeng, Yunjun Gao
    http://arxiv.org/abs/2112.04291v1

    • [cs.LG]Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
    Ekkehard Schnoor, Arash Behboodi, Holger Rauhut
    http://arxiv.org/abs/2112.04364v1

    • [cs.LG]Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization
    Chaoyue Liu, Yulai Zhang
    http://arxiv.org/abs/2112.04084v1

    • [cs.LG]KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators
    Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
    http://arxiv.org/abs/2112.04085v1

    • [cs.LG]Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
    Zelin Ren, Xuebing Yang, Yuchen Jiang, Wensheng Zhang
    http://arxiv.org/abs/2112.04193v1

    • [cs.LG]Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
    Pascal Mattia Esser, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
    http://arxiv.org/abs/2112.03968v1

    • [cs.LG]Model-Value Inconsistency as a Signal for Epistemic Uncertainty
    Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram Friesen, Feryal Behbahani, Tom Schaul, André Barreto, Simon Osindero
    http://arxiv.org/abs/2112.04153v1

    • [cs.LG]Non parametric estimation of causal populations in a counterfactual scenario
    Celine Beji, Florian Yger, Jamal Atif
    http://arxiv.org/abs/2112.04288v1

    • [cs.LG]On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
    Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
    http://arxiv.org/abs/2112.04274v1

    • [cs.LG]PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay
    Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu
    http://arxiv.org/abs/2112.03798v2

    • [cs.LG]Pairwise Learning for Neural Link Prediction
    Zhitao Wang, Yong Zhou, Litao Hong, Yuanhang Zou, Hanjing Su
    http://arxiv.org/abs/2112.02936v3

    • [cs.LG]Pareto Domain Adaptation
    Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang
    http://arxiv.org/abs/2112.04137v1

    • [cs.LG]RID-Noise: Towards Robust Inverse Design under Noisy Environments
    Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
    http://arxiv.org/abs/2112.03912v1

    • [cs.LG]Replay For Safety
    Liran Szlak, Ohad Shamir
    http://arxiv.org/abs/2112.04229v1

    • [cs.LG]Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
    Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
    http://arxiv.org/abs/2112.04468v1

    • [cs.LG]SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
    Yuege Xie, Bobby Shi, Hayden Schaeffer, Rachel Ward
    http://arxiv.org/abs/2112.04002v1

    • [cs.LG]ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
    Toshinori Kitamura, Ryo Yonetani
    http://arxiv.org/abs/2112.04123v1

    • [cs.LG]Specializing Versatile Skill Libraries using Local Mixture of Experts
    Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
    http://arxiv.org/abs/2112.04216v1

    • [cs.LG]Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project
    Nicholas I-Hsien Kuo, Mark Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri
    http://arxiv.org/abs/2112.03914v1

    • [cs.LG]Tell me why! — Explanations support learning of relational and causal structure
    Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
    http://arxiv.org/abs/2112.03753v2

    • [cs.LG]The Effect of Model Size on Worst-Group Generalization
    Alan Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt
    http://arxiv.org/abs/2112.04094v1

    • [cs.LG]Trainability for Universal GNNs Through Surgical Randomness
    Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer
    http://arxiv.org/abs/2112.04314v1

    • [cs.LG]Unsupervised Representation Learning via Neural Activation Coding
    Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei
    http://arxiv.org/abs/2112.04014v1

    • [cs.NE]Relating transformers to models and neural representations of the hippocampal formation
    James C. R. Whittington, Joseph Warren, Timothy E. J. Behrens
    http://arxiv.org/abs/2112.04035v1

    • [cs.NI]Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
    Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener
    http://arxiv.org/abs/2112.04441v1

    • [cs.RO]Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observations
    Arash Asgharivaskasi, Nikolay Atanasov
    http://arxiv.org/abs/2112.04063v1

    • [cs.RO]CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
    Oier Mees, Lukas Hermann, Erick Rosete-Beas, Wolfram Burgard
    http://arxiv.org/abs/2112.03227v2

    • [cs.RO]Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
    Hanwen Kang, Xing Wang, Chao Chen
    http://arxiv.org/abs/2112.04363v1

    • [cs.RO]Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles
    Albert Wilcox, Justin Kerr, Brijen Thananjeyan, Jeffrey Ichnowski, Minho Hwang, Samuel Paradis, Danyal Fer, Ken Goldberg
    http://arxiv.org/abs/2112.04071v1

    • [cs.RO]Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities
    Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin
    http://arxiv.org/abs/2112.04282v1

    • [cs.RO]Transformer based trajectory prediction
    Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
    http://arxiv.org/abs/2112.04350v1

    • [cs.RO]iRoPro: An interactive Robot Programming Framework
    Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty
    http://arxiv.org/abs/2112.04289v1

    • [cs.SD]Learning music audio representations via weak language supervision
    Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyorgy Fazekas
    http://arxiv.org/abs/2112.04214v1

    • [cs.SD]Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
    Trung Dang, Dung Tran, Peter Chin, Kazuhito Koishida
    http://arxiv.org/abs/2112.04424v1

    • [cs.SE]DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs
    Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
    http://arxiv.org/abs/2112.04036v1

    • [cs.SI]A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection
    Andrea Marinoni, Christian Jutten, Mark Girolami
    http://arxiv.org/abs/2112.04388v1

    • [cs.SI]Improving the Training of Graph Neural Networks with Consistency Regularization
    Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang
    http://arxiv.org/abs/2112.04319v1

    • [cs.SI]Mixed Membership Distribution-Free model
    Huan Qing
    http://arxiv.org/abs/2112.04389v1

    • [cs.SI]PageRank for Edges: Axiomatic Characterization
    Natalia Kucharczuk, Tomasz Was, Oskar Skibski
    http://arxiv.org/abs/2112.04339v1

    • [cs.SI]Stochastic Bounded Confidence Opinion Dynamics: How Far Apart Do Opinions Drift?
    Sushmitha Shree S, Kishore G V, Avhishek Chatterjee, Krishna Jagannathan
    http://arxiv.org/abs/2112.04373v1

    • [cs.SI]Topology and Geometry of the Third-Party Domains Ecosystem
    Costas Iordanou, Fragkiskos Papadopoulos
    http://arxiv.org/abs/2112.04381v1

    • [cs.SI]Uncovering the Local Hidden Community Structure in Social Networks
    Meng Wang, Boyu Li, Kun He, John E. Hopcroft
    http://arxiv.org/abs/2112.04100v1

    • [econ.TH]Aggregation of Pareto optimal models
    Hamed Hamze Bajgiran, Houman Owhadi
    http://arxiv.org/abs/2112.04161v1

    • [eess.AS]A study on native American English speech recognition by Indian listeners with varying word familiarity level
    Abhayjeet Singh, Achuth Rao MV, Rakesh Vaideeswaran, Chiranjeevi Yarra, Prasanta Kumar Ghosh
    http://arxiv.org/abs/2112.04151v1

    • [eess.AS]Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
    Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan
    http://arxiv.org/abs/2112.04459v1

    • [eess.IV]Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting
    Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic
    http://arxiv.org/abs/2112.03815v2

    • [eess.IV]BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
    Narinder Singh Punn, Sonali Agarwal
    http://arxiv.org/abs/2112.03916v1

    • [eess.IV]Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data
    Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters
    http://arxiv.org/abs/2112.03911v1

    • [eess.IV]GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration
    Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert
    http://arxiv.org/abs/2112.03915v1

    • [eess.IV]Implicit Neural Representations for Image Compression
    Yannick Strümpler, Janis Postels, Ren Yang, Luc van Gool, Federico Tombari
    http://arxiv.org/abs/2112.04267v1

    • [eess.IV]Learning Pixel-Adaptive Weights for Portrait Photo Retouching
    Binglu Wang, Chengzhe Lu, Dawei Yan, Yongqiang Zhao
    http://arxiv.org/abs/2112.03536v1

    • [eess.IV]Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
    Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/2112.03998v1

    • [eess.IV]Reverse image filtering using total derivative approximation and accelerated gradient descent
    Fernando J. Galetto, Guang Deng
    http://arxiv.org/abs/2112.04121v1

    • [eess.IV]Which images to label for few-shot medical landmark detection?
    Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou
    http://arxiv.org/abs/2112.04386v1

    • [eess.SP]Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
    Elisabetta De Giovanni, Tomas Teijeiro, Grégoire P. Millet, David Atienza
    http://arxiv.org/abs/2112.04369v1

    • [eess.SP]Testing for Causal Influence using a Partial Coherence Statistic
    Louis L. Scharf, Yuan Wang
    http://arxiv.org/abs/2112.03987v1

    • [eess.SY]Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
    Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
    http://arxiv.org/abs/2112.04219v1

    • [eess.SY]Tailored neural networks for learning optimal value functions in MPC
    Dieter Teichrib, Moritz Schulze Darup
    http://arxiv.org/abs/2112.03975v1

    • [math.OC]COSMIC: fast closed-form identification from
    2000
    large-scale data for LTV systems
    Maria Carvalho, Claudia Soares, Pedro Lourenço, Rodrigo Ventura
    http://arxiv.org/abs/2112.04355v1

    • [math.OC]Learning Linear Models Using Distributed Iterative Hessian Sketching
    Han Wang, James Anderson
    http://arxiv.org/abs/2112.04101v1

    • [math.OC]Posterior linearisation smoothing with robust iterations
    Jakob Lindqvist, Simo Särkkä, Ángel F. García-Fernández, Matti Raitoharju, Lennart Svensson
    http://arxiv.org/abs/2112.03969v1

    • [math.ST]Consistency of Spectral Seriation
    Amine Natik, Aaron Smith
    http://arxiv.org/abs/2112.04408v1

    • [math.ST]Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
    Fang Han, Zhen Miao, Yandi Shen
    http://arxiv.org/abs/g/abs/2112.02421v1

    • [math.ST]Robust parameter estimation of regression model with weaker moment
    Kangqiang Li, Songqiao Tang, Lixin Zhang
    http://arxiv.org/abs/2112.04358v1

    • [nlin.CG]Passenger Network Ridership Model Through a BRT System, the case of TransMilenio in Bogotá
    Arturo Argüelles, Juan D. Garcia-Arteaga, Gabriel Villalobos
    http://arxiv.org/abs/2112.04009v1

    • [physics.soc-ph]Communication Now and Then: Analyzing the Republic of Letters as a Communication Network
    Javier Ureña-Carrion, Petri Leskinen, Jouni Tuominen, Charles van den Heuvel, Eero Hyvönen, Mikko Kivelä
    http://arxiv.org/abs/2112.04336v1

    • [q-bio.NC]A deep learning model for data-driven discovery of functional connectivity
    Usman Mahmood, Zening Fu, Vince Calhoun, Sergey Plis
    http://arxiv.org/abs/2112.04013v1

    • [q-bio.NC]Modeling Spatio-Temporal Dynamics in Brain Networks: A Comparison of Graph Neural Network Architectures
    Simon Wein, Alina Schüller, Ana Maria Tomé, Wilhelm M. Malloni, Mark W. Greenlee, Elmar W. Lang
    http://arxiv.org/abs/2112.04266v1

    • [quant-ph]Experimental Characterization of Fault-Tolerant Circuits in Small-Scale Quantum Processors
    Rosie Cane, Daryus Chandra, Soon Xin Ng, Lajos Hanzo
    http://arxiv.org/abs/2112.04076v1

    • [quant-ph]Reliable Simulation of Quantum Channels
    Ke Li, Yongsheng Yao
    http://arxiv.org/abs/2112.04475v1

    • [stat.AP]Bayesian Modeling of Effective and Functional Brain Connectivity using Hierarchical Vector Autoregressions
    Bertil Wegmann, Anders Lundquist, Anders Eklund, Mattias Villani
    http://arxiv.org/abs/2112.04249v1

    • [stat.AP]Hybrid Data-driven Framework for Shale Gas Production Performance Analysis via Game Theory, Machine Learning and Optimization Approaches
    Jin Menga, Yujie Zhou, Tianrui Ye, Yitian Xiao
    http://arxiv.org/abs/2112.04243v1

    • [stat.ME]A causal approach to functional mediation analysis with application to a smoking cessation intervention
    Donna L. Coffman, John J. Dziak, Kaylee Litson, Yajnaseni Chakraborti, Megan E. Piper, Runze Li
    http://arxiv.org/abs/2112.03960v1

    • [stat.ME]A semi-group approach to Principal Component Analysis
    Martin Schlather, Felix Reinbott
    http://arxiv.org/abs/2112.04026v1

    • [stat.ME]A stableness of resistance model for nonresponse adjustment with callback data
    Wang Miao, Xinyu Li, Baoluo Sun
    http://arxiv.org/abs/2112.02822v2

    • [stat.ME]Change-point Detection for Piecewise Exponential Models
    Philip Cooney, Arthur White
    http://arxiv.org/abs/2112.03962v1

    • [stat.ME]Determinantal shot noise Cox processes
    Jesper Møller, Ninna Vihrs
    http://arxiv.org/abs/2112.04204v1

    • [stat.ME]Matching for causal effects via multimarginal optimal transport
    Florian Gunsilius, Yuliang Xu
    http://arxiv.org/abs/2112.04398v1

    • [stat.ME]Pearson’s Goodness-of-Fit Tests for Sparse Distributions
    Shuhua Chang, Deli Li, Yongcheng Qi
    http://arxiv.org/abs/org/abs/2112.03231v1

    • [stat.ME]Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules
    Kushal S. Shah, Haoda Fu, Michael R. Kosorok
    http://arxiv.org/abs/2112.03981v1

    • [stat.ME]Statistical Inference for Large-dimensional Matrix Factor Model from Least Squares and Huber Loss Points of View
    Yong He, Xinbing Kong, Long Yu, Xinsheng Zhang, Changwei Zhao
    http://arxiv.org/abs/2112.04186v1

    • [stat.ML]Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
    Ramji Venkataramanan, Kevin Kögler, Marco Mondelli
    http://arxiv.org/abs/2112.04330v1

    • [stat.ML]Multiway Ensemble Kalman Filter
    Yu Wang, Alfred Hero
    http://arxiv.org/abs/2112.04322v1

    • [stat.ML]Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
    Lijia Zhou, Frederic Koehler, Danica J. Sutherland, Nathan Srebro
    http://arxiv.org/abs/2112.04470v1