cs.AI - 人工智能
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CC - 计算复杂度
    cs.CE - 计算工程、 金融和科学
    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.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.ET - 新兴技术
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    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
    eess.SP - 信号处理
    eess.SY - 系统和控制
    hep-lat - 高能物理晶格
    hep-th - 高能物理理论
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    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
    1000
    ]The Effect of Iterativity on Adversarial Opinion Forming
    • [cs.AI]AI Assurance using Causal Inference: Application to Public Policy
    • [cs.AI]Collective discrete optimisation as judgment aggregation
    • [cs.AI]The Power of Communication in a Distributed Multi-Agent System
    • [cs.AR]ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs
    • [cs.CC]Towards algorithm-free physical equilibrium model of computing
    • [cs.CE]Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending
    • [cs.CL]Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach
    • [cs.CL]Building astroBERT, a language model for Astronomy & Astrophysics
    • [cs.CL]DPRK-BERT: The Supreme Language Model
    • [cs.CL]Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking
    • [cs.CL]Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis
    • [cs.CL]Interactive Model with Structural Loss for Language-based Abductive Reasoning
    • [cs.CL]Investigation of Training Label Error Impact on RNN-T
    • [cs.CL]NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
    • [cs.CL]NLP Research and Resources at DaSciM, Ecole Polytechnique
    • [cs.CL]STEM: Unsupervised STructural EMbedding for Stance Detection
    • [cs.CL]Systematic Generalization with Edge Transformers
    • [cs.CL]Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text
    • [cs.CL]True or False: Does the Deep Learning Model Learn to Detect Rumors?
    • [cs.CL]Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition
    • [cs.CL]Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
    • [cs.CR]A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS
    • [cs.CR]Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
    • [cs.CR]TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit
    • [cs.CV]3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
    • [cs.CV]3D Reconstruction Using a Linear Laser Scanner and a Camera
    • [cs.CV]3DVNet: Multi-View Depth Prediction and Volumetric Refinement
    • [cs.CV]A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
    • [cs.CV]A benchmark with decomposed distribution shifts for 360 monocular depth estimation
    • [cs.CV]AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions
    • [cs.CV]Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
    • [cs.CV]An implementation of the “Guess who?” game using CLIP
    • [cs.CV]Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
    • [cs.CV]Attribute Artifacts Removal for Geometry-based Point Cloud Compression
    • [cs.CV]Automatic travel pattern extraction from visa page stamps using CNN models
    • [cs.CV]Background Activation Suppression for Weakly Supervised Object Localization
    • [cs.CV]Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model
    • [cs.CV]Beyond Flatland: Pre-training with a Strong 3D Inductive Bias
    • [cs.CV]Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
    • [cs.CV]Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
    • [cs.CV]CLIPstyler: Image Style Transfer with a Single Text Condition
    • [cs.CV]CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
    • [cs.CV]Camera Motion Agnostic 3D Human Pose Estimation
    • [cs.CV]CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems
    • [cs.CV]Confidence Propagation Cluster: Unleash Full Potential of Object Detectors
    • [cs.CV]Deep Measurement Updates for Bayes Filters
    • [cs.CV]DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes
    • [cs.CV]Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
    • [cs.CV]Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
    • [cs.CV]Dyadic Human Motion Prediction
    • [cs.CV]Extrapolating from a Single Image to a Thousand Classes using Distillation
    • [cs.CV]FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
    • [cs.CV]FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
    • [cs.CV]FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
    • [cs.CV]GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
    • [cs.CV]Graph Convolutional Module for Temporal Action Localization in Videos
    • [cs.CV]Hallucinated Neural Radiance Fields in the Wild
    • [cs.CV]Human-Object Interaction Detection via Weak Supervision
    • [cs.CV]HyperInverter: Improving StyleGAN Inversion via Hypernetwork
    • [cs.CV]Improved sparse PCA method for face and image recognition
    • [cs.CV]Improving GAN Equilibrium by Raising Spatial Awareness
    • [cs.CV]Information Theoretic Representation Distillation
    • [cs.CV]Label-Free Model Evaluation with Semi-Structured Dataset Representations
    • [cs.CV]Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
    • [cs.CV]Learning Transformer Features for Image Quality Assessment
    • [cs.CV]Light Field Implicit Representation for Flexible Resolution Reconstruction
    • [cs.CV]MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
    • [cs.CV]MDFM: Multi-Decision Fusing Model for Few-Shot Learning
    • [cs.CV]MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
    • [cs.CV]MonoScene: Monocular 3D Semantic Scene Completion
    • [cs.CV]Multi-View Stereo with Transformer
    • [cs.CV]MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
    • [cs.CV]Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation
    • [cs.CV]Neural Emotion Director: Speech-preserving semantic control of facial expressions in “in-the-wild” videos
    • [cs.CV]Object-Aware Cropping for Self-Supervised Learning
    • [cs.CV]Object-aware Video-language Pre-training for Retrieval
    • [cs.CV]On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification
    • [cs.CV]Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
    • [cs.CV]Pattern-Aware Data Augmentation for LiDAR 3D Object Detection
    • [cs.CV]Point Cloud Segmentation Using Sparse Temporal Local Attention
    • [cs.CV]PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound
    • [cs.CV]Predicting Poverty Level from Satellite Imagery using Deep Neural Networks
    • [cs.CV]Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
    • [cs.CV]Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
    • [cs.CV]Ranking Distance Calibration for Cross-Domain Few-Shot Learning
    • [cs.CV]RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
    • [cs.CV]Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning
    • [cs.CV]Revisiting Temporal Alignment for Video Restoration
    • [cs.CV]Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
    • [cs.CV]Robustness in Deep Learning for Computer Vision: Mind the gap?
    • [cs.CV]Saliency Enhancement using Superpixel Similarity
    • [cs.CV]Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
    • [cs.CV]SegDiff: Image Segmentation with Diffusion Probabilistic Models
    • [cs.CV]Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
    • [cs.CV]Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification
    • [cs.CV]SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
    • [cs.CV]Subtask-dominated Transfer Learning for Long-tail Person Search
    • [cs.CV]TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
    • [cs.CV]Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
    • [cs.CV]The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
    • [cs.CV]The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
    • [cs.CV]Transformer-based Network for RGB-D Saliency Detection
    • [cs.CV]Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation
    • [cs.CV]Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
    • [cs.CV]Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
    • [cs.CV]Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics
    • [cs.CV]VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion
    • [cs.CV]Weakly-Supervised Video Object Grounding via Causal Intervention
    • [cs.CY]”Vironment”: An Art of Wearable Social Distancing
    • [cs.CY]Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool
    • [cs.DB]Operation-based Collaborative Data Sharing for Distributed Systems
    • [cs.DC]A Review on Parallel Virtual Screening Softwares for High Performance Computers
    • [cs.DC]A unified framework to improve the interoperability between HPC and Big Data languages and programming models
    • [cs.DC]Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations
    • [cs.DC]Conflict-free Collaborative Set Sharing for Distributed Systems
    • [cs.DC]Efficient Big Text Data Clustering Algorithms using Hadoop and Spark
    • [cs.DC]Efficient and Local Parallel Random Walks
    • [cs.DC]Near-Optimal Distributed Degree+1 Coloring
    • [cs.DC]Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model
    • [cs.DC]Task Assignment in Distributed Systems based on PSO Approach
    • [cs.DS]Clustering Mixtures with Almost Optimal Separation in Polynomial Time
    • [cs.ET]Simulation platform for pattern recognition based on reservoir computing with memristor networks
    • [cs.GR]Sound-Guided Semantic Image Manipulation
    • [cs.GR]The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts
    • [cs.HC]Digital Twinning Remote Laboratories for Online Practical Learning
    • [cs.HC]LGBTQ Privacy Concerns on Social Media
    • [cs.HC]Using Conversational Artificial Intelligence to Support Children’s Search in the Classroom
    • [cs.IT]A Scheme of Channel Prediction Based on Artificial Neural Network
    • [cs.IT]An Age of Information Characterization of Frameless ALOHA
    • [cs.IT]An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
    • [cs.IT]BeamSync: Over-The-Air Carrier Synchronization in Distributed RadioWeaves
    • [cs.IT]Broadband beam steering for misaligned multi-mode OAM communication systems
    • [cs.IT]MeSH Term Suggestion for Systematic Review Literature Search
    • [cs.IT]STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies
    • [cs.IT]Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding
    • [cs.IT]Successive Syndrome-Check Decoding of Polar Codes
    • [cs.IT]Wiretap Secret Key Agreement Via Secure Omniscience
    • [cs.LG]今日学术视野(2021.12.3) - 图1-Robustness and Beyond: Unleashing Efficient Adversarial Training
    • [cs.LG]A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success
    • [cs.LG]A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
    • [cs.LG]A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
    • [cs.LG]A Machine Learning Analysis of COVID-19 Mental Health Data
    • [cs.LG]A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
    • [cs.LG]A generic physics-informed neural network-based framework for reliability assessment of multi-state systems
    • [cs.LG]Adaptive Optimization with Examplewise Gradients
    • [cs.LG]Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
    • [cs.LG]Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data
    • [cs.LG]Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling
    • [cs.LG]CovidAlert — A Wristwatch-based System to Alert Users from Face Touching
    • [cs.LG]Dimensionality Reduction for Categorical Data
    • [cs.LG]Effective and efficient structure learning with pruning and model averaging strategies
    • [cs.LG]Efficient Online Bayesian Inference for Neural Bandits
    • [cs.LG]Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
    • [cs.LG]Fast Topological Clustering with Wasserstein Distance
    • [cs.LG]Forward Operator Estimation in Generative Models with Kernel Transfer Operators
    • [cs.LG]Graph Conditioned Sparse-Attention for Improved Source Code Understanding
    • [cs.LG]Imbalanced Graph Classification via Graph-of-Graph Neural Networks
    • [cs.LG]Improving Differentiable Architecture Search with a Generative Model
    • [cs.LG]Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?
    • [cs.LG]Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
    • [cs.LG]Leveraging Intrinsic Gradient Information for Machine Learning Model Training
    • [cs.LG]MOMO — Deep Learning-driven classification of external DICOM studies for PACS archivation
    • [cs.LG]Meta Arcade: A Configurable Environment Suite for Meta-Learning
    • [cs.LG]Molecular Contrastive Learning with Chemical Element Knowledge Graph
    • [cs.LG]Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems
    • [cs.LG]On the Practical Consistency of Meta-Reinforcement Learning Algorithms
    • [cs.LG]Optimizing for In-memory Deep Learning with Emerging Memory Technology
    • [cs.LG]Outlier Detection using AI: A Survey
    • [cs.LG]Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
    • [cs.LG]PokeBNN: A Binary Pursuit of Lightweight Accuracy
    • [cs.LG]Public Data-Assisted Mirror Descent for Private Model Training
    • [cs.LG]Robust and Provably Monotonic Networks
    • [cs.LG]SaDe: Learning Models that Provably Satisfy Domain Constraints
    • [cs.LG]Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
    • [cs.LG]Show Your Work: Scratchpads for Intermediate Computation with Language Models
    • [cs.LG]Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
    • [cs.LG]Structure-Aware Label Smoothing for Graph Neural Networks
    • [cs.LG]The Geometric Occam’s Razor Implicit in Deep Learning
    • [cs.LG]Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
    • [cs.LG]Towards Futuristic Autonomous Experimentation—A Surprise-Reacting Sequential Experiment Policy
    • [cs.LG]Training BatchNorm Only in Neural Architecture Search and Beyond
    • [cs.LG]Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming
    • [cs.LG]VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
    • [cs.LG]What to Learn, and How: Toward Effective Learning from Rationales
    • [cs.NE]Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient
    • [cs.NI]A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing
    • [cs.NI]Slicing Scheduling for Supporting Critical Traffic in Beyond 5G
    • [cs.NI]TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks
    • [cs.RO]A Barrier Pair Method for Safe Human-Robot Shared Autonomy
    • [cs.RO]A general locomotion control framework for serially connected multi-legged robots
    • [cs.RO]Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning
    • [cs.RO]Concurrent Transmission for Multi-Robot Coordination
    • [cs.RO]Coordinated Multi-Robot Trajectory Tracking over Sampled Communication
    • [cs.RO]Research on Event Accumulator Settings for Event-Based SLAM
    • [cs.RO]Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
    • [cs.RO]Tool as Embodiment for Recursive Manipulation
    • [cs.RO]Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
    • [cs.SD]Environmental Sound Extraction Using Onomatopoeia
    • [cs.SD]Score Transformer: Generating Musical Score from Note-level Representation
    • [cs.SD]Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles
    • [cs.SE]Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems
    • [cs.SI]’Entanglement’ — A new dynamic metric to measure team flow
    • [cs.SI]A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs
    • [cs.SI]Closeness Centrality via the Condorcet Principle
    • [cs.SI]Data Augmentation Based on Null Model for Graph Classification
    • [cs.SI]Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
    • [cs.SI]The Effect of People Recommenders on Echo Chambers and Polarization
    • [cs.SI]Unequal Opportunities in Multi-hop Referral Programs
    • [eess.SP]DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks
    • [eess.SY]Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model
    • [hep-lat]Machine learning Hadron Spectral Functions in Lattice QCD
    • [hep-th]Learning knot invariants across dimensions
    • [math.NA]An adaptive mixture-population Monte Carlo method for likelihood-free inference
    • [math.NA]Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit
    • [math.OC]Comparing discounted and average-cost Markov Decision Processes: a statistical significance perspective
    • [math.OC]Distributed Forward-Backward Methods without Central Coordination
    • [math.PR]Invariance principle of random projection for the norm
    • [math.ST]Auto-Regressive Approximations to Non-stationary Time Series, with Inference and Applications
    • [math.ST]Dynamical hypothesis tests and Decision Theory for Gibbs distributions
    • [math.ST]Lévy copulas: a probabilistic point of view
    • [math.ST]Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression
    • [physics.comp-ph]Graph neural networks for fast electron density estimation of molecules, liquids, and solids
    • [physics.soc-ph]Descriptive vs. inferential community detection: pitfalls, myths and half-truths
    • [q-bio.QM]Algebra, Geometry and Topology of ERK Kinetics
    • [q-bio.QM]Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
    • quant-ph-Activation of Complex Entanglement Structures in Quantum Networks
    • [quant-ph]Discriminating Quantum States with Quantum Machine Learning
    • [quant-ph]Infinite Neural Network Quantum States
    • [quant-ph]On the challenges of using D-Wave computers to sample Boltzmann Random Variables
    • [stat.AP]Teaching Bayes’ Rule using Mosaic Plots
    • [stat.ME]AR-sieve Bootstrap for High-dimensional Time Series
    • [stat.ME]An Alternative Perspective on the Robust Poisson Model for Estimating Risk or Prevalence Ratios
    • [stat.ME]Conditional Randomization Rank Test
    • [stat.ME]Controlling for multiple covariates
    • [stat.ME]Efficient Estimation Under Data Fusion
    • [stat.ME]Ensuring valid inference for hazard ratios after variable selection
    • [stat.ME]Functional regression clustering with multiple functional gene expressions
    • [stat.ME]Non-splitting Neyman-Pearson Classifiers
    • [stat.ME]Nonparametric Methods for Complex Multivariate Data: Asymptotics and Small Sample Approximations
    • [stat.ME]Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
    • [stat.ML]Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm
    • [stat.ML]Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning
    • [stat.ML]Convergence of GANs Training: A Game and Stochastic Control Methodology
    • [stat.ML]Mixed neural network Gaussian processes
    • [stat.ML]On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework

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

    • [cs.AI
    1000
    ]The Effect of Iterativity on Adversarial Opinion Forming
    Konstantinos Panagiotou, Simon Reisser
    http://arxiv.org/abs/2111.15445v2

    • [cs.AI]AI Assurance using Causal Inference: Application to Public Policy
    Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh
    http://arxiv.org/abs/2112.00591v1

    • [cs.AI]Collective discrete optimisation as judgment aggregation
    Linus Boes, Rachael Colley, Umberto Grandi, Jerome Lang, Arianna Novaro
    http://arxiv.org/abs/2112.00574v1

    • [cs.AI]The Power of Communication in a Distributed Multi-Agent System
    Philipp Dominic Siedler
    http://arxiv.org/abs/2111.15611v2

    • [cs.AR]ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs
    Corne Lukken, Giulia Frascaria, Animesh Trivedi
    http://arxiv.org/abs/2112.00142v1

    • [cs.CC]Towards algorithm-free physical equilibrium model of computing
    Seyed Mousavi
    http://arxiv.org/abs/2112.00006v1

    • [cs.CE]Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending
    Yu-Chin Chan, Daicong Da, Liwei Wang, Wei Chen
    http://arxiv.org/abs/2112.00648v1

    • [cs.CL]Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach
    Mithun Das, Somnath Banerjee, Punyajoy Saha
    http://arxiv.org/abs/2111.14830v1

    • [cs.CL]Building astroBERT, a language model for Astronomy & Astrophysics
    Felix Grezes, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Golnaz Shapurian, Edwin Henneken, Carolyn S. Grant, Donna M. Thompson, Roman Chyla, Stephen McDonald, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Nemanja Martinovic, Shinyi Chen, Chris Tanner, Pavlos Protopapas
    http://arxiv.org/abs/2112.00590v1

    • [cs.CL]DPRK-BERT: The Supreme Language Model
    Arda Akdemir, Yeojoo Jeon
    http://arxiv.org/abs/2112.00567v1

    • [cs.CL]Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking
    Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson Liu, Reut Tsarfaty, Dafna Shahaf
    http://arxiv.org/abs/2112.00086v1

    • [cs.CL]Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis
    Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar
    http://arxiv.org/abs/2112.00534v1

    • [cs.CL]Interactive Model with Structural Loss for Language-based Abductive Reasoning
    Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu
    http://arxiv.org/abs/2112.00284v1

    • [cs.CL]Investigation of Training Label Error Impact on RNN-T
    I-Fan Chen, Brian King, Jasha Droppo
    http://arxiv.org/abs/2112.00350v1

    • [cs.CL]NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
    Zihan Liu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung
    http://arxiv.org/abs/2112.00405v1

    • [cs.CL]NLP Research and Resources at DaSciM, Ecole Polytechnique
    Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
    http://arxiv.org/abs/2112.00566v1

    • [cs.CL]STEM: Unsupervised STructural EMbedding for Stance Detection
    Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur
    http://arxiv.org/abs/2112.00712v1

    • [cs.CL]Systematic Generalization with Edge Transformers
    Leon Bergen, Timothy J. O’Donnell, Dzmitry Bahdanau
    http://arxiv.org/abs/2112.00578v1

    • [cs.CL]Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text
    Michael Färber, Anna Steyer
    http://arxiv.org/abs/2112.00160v1

    • [cs.CL]True or False: Does the Deep Learning Model Learn to Detect Rumors?
    Shiwen Ni, Jiawen Li, Hung-Yu Kao
    http://arxiv.org/abs/2112.00245v1

    • [cs.CL]Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition
    Anmol Nayak, Hari Prasad Timmapathini
    http://arxiv.org/abs/2112.00283v1

    • [cs.CL]Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
    Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
    http://arxiv.org/abs/2112.00503v1

    • [cs.CR]A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS
    Kathy Nguyen, Shantanu Pal, Zahra Jadidi, Ali Dorri, Raja Jurdak
    http://arxiv.org/abs/2112.00262v1

    • [cs.CR]Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
    Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora
    http://arxiv.org/abs/2112.00059v1

    • [cs.CR]TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit
    Mohammad Hammas Saeed, Shiza Ali, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini
    http://arxiv.org/abs/2112.00443v1

    • [cs.CV]3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
    Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li
    http://arxiv.org/abs/2112.00169v1

    • [cs.CV]3D Reconstruction Using a Linear Laser Scanner and a Camera
    Rui Wang
    http://arxiv.org/abs/2112.00557v1

    • [cs.CV]3DVNet: Multi-View Depth Prediction and Volumetric Refinement
    Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer
    http://arxiv.org/abs/2112.00202v1

    • [cs.CV]A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
    Jihyo Kim, Jiin Koo, Sangheum Hwang
    http://arxiv.org/abs/2112.00337v1

    • [cs.CV]A benchmark with decomposed distribution shifts for 360 monocular depth estimation
    Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/2112.00432v1

    • [cs.CV]AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions
    Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas Guibas, Hao Dong
    http://arxiv.org/abs/2112.00246v1

    • [cs.CV]Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
    Tianyue Zheng, Zhe Chen, Shuya Ding, Chao Cai, Jun Luo
    http://arxiv.org/abs/2112.00428v1

    • [cs.CV]An implementation of the “Guess who?” game using CLIP
    Arnau Martí Sarri, Victor Rodriguez-Fernandez
    http://arxiv.org/abs/2112.00599v1

    • [cs.CV]Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
    Deepti Hegde, Vishal M. Patel
    http://arxiv.org/abs/2111.15656v2

    • [cs.CV]Attribute Artifacts Removal for Geometry-based Point Cloud Compression
    Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong
    http://arxiv.org/abs/2112.00560v1

    • [cs.CV]Automatic travel pattern extraction from visa page stamps using CNN models
    Eimantas Ledinauskas, Julius Ruseckas, Julius Marozas, Kasparas Karlauskas, Justas Terentjevas, Augustas Mačijauskas, Alfonsas Juršėnas
    http://arxiv.org/abs/2112.00348v1

    • [cs.CV]Background Activation Suppression for Weakly Supervised Object Localization
    Pingyu Wu, Wei Zhai, Yang Cao
    http://arxiv.org/abs/2112.00580v1

    • [cs.CV]Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model
    Kaihao Zhang, Wenhan Luo, Boheng Chen, Wenqi Ren, Bjorn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang
    http://arxiv.org/abs/2112.00234v1

    • [cs.CV]Beyond Flatland: Pre-training with a Strong 3D Inductive Bias
    Shubhaankar Gupta, Thomas P. O’Connell, Bernhard Egger
    http://arxiv.org/abs/2112.00113v1

    • [cs.CV]Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
    Louise Bloch, Raphael Brüngel, Christoph M. Friedrich
    http://arxiv.org/abs/2112.00065v1

    • [cs.CV]Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
    Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin
    http://arxiv.org/abs/2112.00484v1

    • [cs.CV]CLIPstyler: Image Style Transfer with a Single Text Condition
    Gihyun Kwon, Jong Chul Ye
    http://arxiv.org/abs/2112.00374v1

    • [cs.CV]CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
    Aidan Boyd, Patrick Tinsley, Kevin Bowyer, Adam Czajka
    http://arxiv.org/abs/2112.00686v1

    • [cs.CV]Camera Motion Agnostic 3D Human Pose Estimation
    Seong Hyun Kim, Sunwon Jeong, Sungbum Park, Ju Yong Chang
    http://arxiv.org/abs/2112.00343v1

    • [cs.CV]CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems
    Priyank Kalgaonkar, Mohamed El-Sharkawy
    http://arxiv.org/abs/2112.00698v1

    • [cs.CV]Confidence Propagation Cluster: Unleash Full Potential of Object Detectors
    Yichun Shen, Wanli Jiang, Zhen Xu, Rundong Li, Junghyun Kwon, Siyi Li
    http://arxiv.org/abs/2112.00342v1

    • [cs.CV]Deep Measurement Updates for Bayes Filters
    Johannes Pankert, Maria Vittoria Minniti, Lorenz Wellhausen, Marco Hutter
    http://arxiv.org/abs/2112.00380v1

    • [cs.CV]DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes
    Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer
    http://arxiv.org/abs/2112.00627v1

    • [cs.CV]Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
    Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
    http://arxiv.org/abs/2111.15640v2

    • [cs.CV]Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
    Hangtong Wu, Dan Zen, Yibo Hu, Hailin Shi, Tao Mei
    http://arxiv.org/abs/2112.00568v1

    • [cs.CV]Dyadic Human Motion Prediction
    Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2112.00396v1

    • [cs.CV]Extrapolating from a Single Image to a Thousand Classes using Distillation
    Yuki M. Asano, Aaqib Saeed
    http://arxiv.org/abs/2112.00725v1

    • [cs.CV]FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
    Danila Rukhovich, Anna Vorontsova, Anton Konushin
    http://arxiv.org/abs/2112.00322v1

    • [cs.CV]FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
    Liyuan Ma, Kejie Huang, Dongxu Wei, Zhaoyan Ming, Haibin Shen
    http://arxiv.org/abs/2112.00281v1

    • [cs.CV]FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
    Nicolas Olivier, Kelian Baert, Fabien Danieau, Franck Multon, Quentin Avril
    http://arxiv.org/abs/2112.00532v1

    • [cs.CV]GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
    Liyuan Ma, Kejie Huang, Dongxu Wei, Haibin Shen
    http://arxiv.org/abs/2112.00263v1

    • [cs.CV]Graph Convolutional Module for Temporal Action Localization in Videos
    Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
    http://arxiv.org/abs/2112.00302v1

    • [cs.CV]Hallucinated Neural Radiance Fields in the Wild
    Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang
    http://arxiv.org/abs/2111.15246v2

    • [cs.CV]Human-Object Interaction Detection via Weak Supervision
    Mert Kilickaya, Arnold Smeulders
    http://arxiv.org/abs/2112.00492v1

    • [cs.CV]HyperInverter: Improving StyleGAN Inversion via Hypernetwork
    Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua
    http://arxiv.org/abs/2112.00719v1

    • [cs.CV]Improved sparse PCA method for face and image recognition
    Loc Hoang Tran, Tuan Tran, An Mai
    http://arxiv.org/abs/2112.00207v1

    • [cs.CV]Improving GAN Equilibrium by Raising Spatial Awareness
    Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou
    http://arxiv.org/abs/2112.00718v1

    • [cs.CV]Information Theoretic Representation Distillation
    Roy Miles, Adrián López Rodríguez, Krystian Mikolajczyk
    http://arxiv.org/abs/2112.00459v1

    • [cs.CV]Label-Free Model Evaluation with Semi-Structured Dataset Representations
    Xiaoxiao Sun, Yunzhong Hou, Hongdong Li, Liang Zheng
    http://arxiv.org/abs/2112.00694v1

    • [cs.CV]Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
    Yanjie Wang, Xu Zou, Zhijun Zhang, Wenhui Xu, Liqun Chen, Sheng Zhong, Luxin Yan, Guodong Wang
    http://arxiv.org/abs/2112.00504v1

    • [cs.CV]Learning Transformer Features for Image Quality Assessment
    Chao Zeng, Sam Kwong
    http://arxiv.org/abs/2112.00485v1

    • [cs.CV]Light Field Implicit Representation for Flexible Resolution Reconstruction
    Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb
    http://arxiv.org/abs/2112.00185v1

    • [cs.CV]MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
    Mattia Soldan, Alejandro Pardo, Juan León Alcázar, Fabian Caba Heilbron, Chen Zhao, Silvio Giancola, Bernard Ghanem
    http://arxiv.org/abs/2112.00431v1

    • [cs.CV]MDFM: Multi-Decision Fusing Model for Few-Shot Learning
    Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yan-Jiang Wang, Bao-Di Liu
    http://arxiv.org/abs/2112.00690v1

    • [cs.CV]MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
    Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool
    http://arxiv.org/abs/2112.00167v1

    • [cs.CV]MonoScene: Monocular 3D Semantic Scene Completion
    Anh-Quan Cao, Raoul de Charette
    http://arxiv.org/abs/2112.00726v1

    • [cs.CV]Multi-View Stereo with Transformer
    Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei
    http://arxiv.org/abs/2112.00336v1

    • [cs.CV]MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
    Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, Benjamin Sapp
    http://arxiv.org/abs/2111.14973v2

    • [cs.CV]Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation
    Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu
    http://arxiv.org/abs/2112.00295v1

    • [cs.CV]Neural Emotion Director: Speech-preserving semantic control of facial expressions in “in-the-wild” videos
    Foivos Paraperas Papantoniou, Panagiotis P. Filntisis, Petros Maragos, Anastasios Roussos
    http://arxiv.org/abs/2112.00585v1

    • [cs.CV]Object-Aware Cropping for Self-Supervised Learning
    Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
    http://arxiv.org/abs/2112.00319v1

    • [cs.CV]Object-aware Video-language Pre-training for Retrieval
    Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou
    http://arxiv.org/abs/2112.00656v1

    • [cs.CV]On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification
    Rutika Moharir, Arun D Prabhu, Sukumar Moharana, Gopi Ramena, Rachit S Munjal
    http://arxiv.org/abs/2112.00448v1

    • [cs.CV]Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
    Sahar Abdelnabi, Rakibul Hasan, Mario Fritz
    http://arxiv.org/abs/2112.00061v1

    • [cs.CV]Pattern-Aware Data Augmentation for LiDAR 3D Object Detection
    Jordan S. K. Hu, Steven L. Waslander
    http://arxiv.org/abs/2112.00050v1

    • [cs.CV]Point Cloud Segmentation Using Sparse Temporal Local Attention
    Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
    http://arxiv.org/abs/2112.00289v1

    • [cs.CV]PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound
    Zhijian Yang, xiaoran Fan, Volkan Isler, Hyun Soo Park
    http://arxiv.org/abs/2112.00216v1

    • [cs.CV]Predicting Poverty Level from Satellite Imagery using Deep Neural Networks
    Varun Chitturi, Zaid Nabulsi
    http://arxiv.org/abs/2112.00011v1

    • [cs.CV]Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
    Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen
    http://arxiv.org/abs/2112.00323v1

    • [cs.CV]Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
    Edward Kim, Jay Shenoy, Sebastian Junges, Daniel Fremont, Alberto Sangiovanni-Vincentelli, Sanjit Seshia
    http://arxiv.org/abs/2112.00206v1

    • [cs.CV]Ranking Distance Calibration for Cross-Domain Few-Shot Learning
    Pan Li, Shaogang Gong, Yanwei Fu, Chengjie Wang
    http://arxiv.org/abs/2112.00260v1

    • [cs.CV]RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
    Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
    http://arxiv.org/abs/2112.00724v1

    • [cs.CV]Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning
    Zhe Liu, Yun Li, Lina Yao, Julian McAuley, Sam Dixon
    http://arxiv.org/abs/2112.00410v1

    • [cs.CV]Revisiting Temporal Alignment for Video Restoration
    Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu
    http://arxiv.org/abs/2111.15288v2

    • [cs.CV]Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
    Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang
    http://arxiv.org/abs/2112.00496v1

    • [cs.CV]Robustness in Deep Learning for Computer Vision: Mind the gap?
    Nathan Drenkow, Numair Sani, Ilya Shpitser, Mathias Unberath
    http://arxiv.org/abs/2112.00639v1

    • [cs.CV]Saliency Enhancement using Superpixel Similarity
    Leonardo de Melo Joao, Alexandre Xavier Falcao
    http://arxiv.org/abs/2112.00665v1

    • [cs.CV]Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
    Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao
    http://arxiv.org/abs/2112.00219v1

    • [cs.CV]SegDiff: Image Segmentation with Diffusion Probabilistic Models
    Tomer Amit, Eliya Nachmani, Tal Shaharbany, Lior Wolf
    http://arxiv.org/abs/2112.00390v1

    • [cs.CV]Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
    Jack. W. Barker, Neelanjan Bhowmik, Toby. P. Breckon
    http://arxiv.org/abs/2112.00556v1

    • [cs.CV]Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification
    Hongmin Gao, Member, IEEE, Zhonghao Chen, Student Member, IEEE, Chenming Li
    http://arxiv.org/abs/2112.00250v1

    • [cs.CV]SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
    Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu
    http://arxiv.org/abs/2112.00180v1

    • [cs.CV]Subtask-dominated Transfer Learning for Long-tail Person Search
    Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng
    http://arxiv.org/abs/2112.00527v1

    • [cs.CV]TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
    Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer
    http://arxiv.org/abs/2112.00166v1

    • [cs.CV]Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
    Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris
    http://arxiv.org/abs/2112.00054v1

    • [cs.CV]The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
    Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi
    http://arxiv.org/abs/2112.00412v1

    • [cs.CV]The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
    M. Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof
    http://arxiv.org/abs/2112.00463v1

    • [cs.CV]Transformer-based Network for RGB-D Saliency Detection
    Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James Elder, Huchuan Lu
    http://arxiv.org/abs/2112.00582v1

    • [cs.CV]Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation
    Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi
    http://arxiv.org/abs/2112.00384v1

    • [cs.CV]Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
    Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu
    http://arxiv.org/abs/2112.00510v1

    • [cs.CV]Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
    Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao
    http://arxiv.org/abs/2112.00317v1

    • [cs.CV]Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics
    Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan, Yoonju Jung
    http://arxiv.org/abs/2112.00290v1

    • [cs.CV]VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion
    Noah Stier, Alexander Rich, Pradeep Sen, Tobias Höllerer
    http://arxiv.org/abs/2112.00236v1

    • [cs.CV]Weakly-Supervised Video Object Grounding via Causal Intervention
    Wei Wang, Junyu Gao, Changsheng Xu
    http://arxiv.org/abs/2112.00475v1

    • [cs.CY]“Vironment”: An Art of Wearable Social Distancing
    Cayden Pierce, Steve Mann
    http://arxiv.org/abs/2112.00093v1

    • [cs.CY]Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool
    Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan
    http://arxiv.org/abs/2112.00301v1

    • [cs.DB]Operation-based Collaborative Data Sharing for Distributed Systems
    Masato Takeichi
    http://arxiv.org/abs/2112.00288v1

    • [cs.DC]A Review on Parallel Virtual Screening Softwares for High Performance Computers
    Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis
    http://arxiv.org/abs/2112.00116v1

    • [cs.DC]A unified framework to improve the interoperability between HPC and Big Data languages and programming models
    César Piñeiro, Juan C. Pichel
    http://arxiv.org/abs/2112.00467v1

    • [cs.DC]Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations
    Yuxin Chen, Benjamin Brock, Serban Porumbescu, Aydın Buluç, Katherine Yelick, John D. Owens
    http://arxiv.org/abs/2112.00132v1

    • [cs.DC]Conflict-free Collaborative Set Sharing for Distributed Systems
    Masato Takeichi
    http://arxiv.org/abs/2112.00286v1

    • [cs.DC]Efficient Big Text Data Clustering Algorithms using Hadoop and Spark
    Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis
    http://arxiv.org/abs/2112.00200v1

    • [cs.DC]Efficient and Local Parallel Random Walks
    Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
    http://arxiv.org/abs/2112.00655v1

    • [cs.DC]Near-Optimal Distributed Degree+1 Coloring
    Magnús M. Halldórsson, Fabian Kuhn, Alexandre Nolin, Tigran Tonoyan
    http://arxiv.org/abs/2112.00604v1

    • [cs.DC]Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model
    Garvit Dewan, Louis Jenkins
    http://arxiv.org/abs/2112.00068v1

    • [cs.DC]Task Assignment in Distributed Systems based on PSO Approach
    Mostafa Haghi Kashani
    http://arxiv.org/abs/2112.00053v1

    • [cs.DS]Clustering Mixtures with Almost Optimal Separation in Polynomial Time
    Jerry Li, Allen Liu
    http://arxiv.org/abs/2112.00706v1

    • [cs.ET]Simulation platform for pattern recognition based on reservoir computing with memristor networks
    Gouhei Tanaka, Ryosho Nakane
    http://arxiv.org/abs/2112.00248v1

    • [cs.GR]Sound-Guided Semantic Image Manipulation
    Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim
    http://arxiv.org/abs/2112.00007v1

    • [cs.GR]The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts
    Kai Wang, Paul Guerrero, Vladimir Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
    http://arxiv.org/abs/2112.00584v1

    • [cs.HC]Digital Twinning Remote Laboratories for Online Practical Learning
    Claire Palmer, Ben Roullier, Mohammed Aamir, Frank McQuade, Leonardo Stella, Ashiq Anjum
    http://arxiv.org/abs/2112.00649v1

    • [cs.HC]LGBTQ Privacy Concerns on Social Media
    Christine Geeng, Alexis Hiniker
    http://arxiv.org/abs/2112.00107v1

    • [cs.HC]Using Conversational Artificial Intelligence to Support Children’s Search in the Classroom
    Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju
    http://arxiv.org/abs/2112.00076v1

    • [cs.IT]A Scheme of Channel Prediction Based on Artificial Neural Network
    Zirui Wen, Ruisi He, Bo Ai, Chen Huang, Mi Yang, Zhangdui Zhong
    http://arxiv.org/abs/2111.15476v2

    • [cs.IT]An Age of Information Characterization of Frameless ALOHA
    Andrea Munari, Francisco Lázaro, Giuseppe Durisi, Gianluigi Liva
    http://arxiv.org/abs/2112.00491v1

    • [cs.IT]An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
    Vamsi K. Amalladinne, Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan
    http://arxiv.org/abs/2112.00270v1

    • [cs.IT]BeamSync: Over-The-Air Carrier Synchronization in Distributed RadioWeaves
    Unnikrishnan Kunnath Ganesan, Rimalapudi Sarvendranath, Erik G. Larsson
    http://arxiv.org/abs/2112.00592v1

    • [cs.IT]Broadband beam steering for misaligned multi-mode OAM communication systems
    Zhengjuan Tian, Rui Chen, Wen-Xuan Long, Hong Zhou, Marco Moretti
    http://arxiv.org/abs/2112.00457v1

    • [cs.IT]MeSH Term Suggestion for Systematic Review Literature Search
    Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon
    http://arxiv.org/abs/2112.00277v1

    • [cs.IT]STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies
    Jiaqi Xu, Yuanwei Liu, Xidong Mu, Robert Schober, H. Vincent Poor
    http://arxiv.org/abs/2112.00299v1

    • [cs.IT]Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding
    Haochuan Song, Xiaohu You, Chuan Zhang, Christoph Studer
    http://arxiv.org/abs/2112.00330v1

    • [cs.IT]Successive Syndrome-Check Decoding of Polar Codes
    Seyyed Ali Hashemi, Marco Mondelli, John Cioffi, Andrea Goldsmith
    http://arxiv.org/abs/2112.00057v1

    • [cs.IT]Wiretap Secret Key Agreement Via Secure Omniscience
    Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou
    http://arxiv.org/abs/2112.00394v1

    • [cs.LG]今日学术视野(2021.12.3) - 图2-Robustness and Beyond: Unleashing Efficient Adversarial Training
    Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
    http://arxiv.org/abs/2112.00378v1

    • [cs.LG]A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success
    Manav Agarwal, Shreya Venugopal, Rishab Kashyap, R Bharathi
    http://arxiv.org/abs/2112.00395v1

    • [cs.LG]A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
    Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim, Seungwoo Jang, Kwangsu Kim
    http://arxiv.org/abs/2112.00328v1

    • [cs.LG]A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
    Moonjung Eo, Suhyun Kang, Wonjong Rhee
    http://arxiv.org/abs/2111.15179v2

    • [cs.LG]A Machine Learning Analysis of COVID-19 Mental Health Data
    Mostafa Rezapour, Lucas Hansen
    http://arxiv.org/abs/2112.00227v1

    • [cs.LG]A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
    Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
    http://arxiv.org/abs/2112.00179v1

    • [cs.LG]A generic physics-informed neural network-based framework for reliability assessment of multi-state systems
    Taotao Zhou, Xiaoge Zhang, Enrique Lopez Droguett, Ali Mosleh
    http://arxiv.org/abs/2112.00220v1

    • [cs.LG]Adaptive Optimization with Examplewise Gradients
    Julius Kunze, James Townsend, David Barber
    http://arxiv.org/abs/2112.00174v1

    • [cs.LG]Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
    Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
    http://arxiv.org/abs/2112.00659v1

    • [cs.LG]Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data
    Ha Min Son, Moon Hyun Kim, Tai-Myoung Chung
    http://arxiv.org/abs/2112.00407v1

    • [cs.LG]Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling
    Avinandan Bose, Pradeep Varakantham
    http://arxiv.org/abs/2112.00579v1

    • [cs.LG]CovidAlert — A Wristwatch-based System to Alert Users from Face Touching
    Mrinmoy Roy, Venkata Devesh Reddy Seethi, Pratool Bharti
    http://arxiv.org/abs/2112.00131v1

    • [cs.LG]Dimensionality Reduction for Categorical Data
    Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma
    http://arxiv.org/abs/2112.00362v1

    • [cs.LG]Effective and efficient structure learning with pruning and model averaging strategies
    Anthony C. Constantinou, Yang Liu, Neville K. Kitson, Kiattikun Chobtham, Zhigao Guo
    http://arxiv.org/abs/2112.00398v1

    • [cs.LG]Efficient Online Bayesian Inference for Neural Bandits
    Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
    http://arxiv.org/abs/2112.00195v1

    • [cs.LG]Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
    Chen Tang, Wei Zhan, Masayoshi Tomizuka
    http://arxiv.org/abs/2112.00298v1

    • [cs.LG]Fast Topological Clustering with Wasserstein Distance
    Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen
    http://arxiv.org/abs/2112.00101v1

    • [cs.LG]Forward Operator Estimation in Generative Models with Kernel Transfer Operators
    Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
    http://arxiv.org/abs/2112.00305v1

    • [cs.LG]Graph Conditioned Sparse-Attention for Improved Source Code Understanding
    Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm
    http://arxiv.org/abs/2112.00663v1

    • [cs.LG]Imbalanced Graph Classification via Graph-of-Graph Neural Networks
    Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
    http://arxiv.org/abs/2112.00238v1

    • [cs.LG]Improving Differentiable Architecture Search with a Generative Model
    Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie
    http://arxiv.org/abs/2112.00171v1

    • [cs.LG]Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?
    Zoe Moorton, Zeyneb Kurt, Wai Lok Woo
    http://arxiv.org/abs/2112.00190v1

    • [cs.LG]Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
    Jay Gala, Pengtao Xie
    http://arxiv.org/abs/2112.00275v1

    • [cs.LG]Leveraging Intrinsic Gradient Information for Machine Learning Model Training
    Chris McDonagh, Xi Chen
    http://arxiv.org/abs/2112.00094v1

    • [cs.LG]MOMO — Deep Learning-driven classification of external DICOM studies for PACS archivation
    Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek
    http://arxiv.org/abs/2112.00661v1

    • [cs.LG]Meta Arcade: A Configurable Environment Suite for Meta-Learning
    Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam Vallabha, Christopher Ratto, Kapil D. Katyal
    http://arxiv.org/abs/2112.00583v1

    • [cs.LG]Molecular Contrastive Learning with Chemical Element Knowledge Graph
    Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
    http://arxiv.org/abs/2112.00544v1

    • [cs.LG]Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems
    Alberto Castagna, Ivana Dusparic
    http://arxiv.org/abs/2112.00424v1

    • [cs.LG]On the Practical Consistency of Meta-Reinforcement Learning Algorithms
    Zheng Xiong, Luisa Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
    http://arxiv.org/abs/2112.00478v1

    • [cs.LG]Optimizing for In-memory Deep Learning with Emerging Memory Technology
    Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
    http://arxiv.org/abs/2112.00324v1

    • [cs.LG]Outlier Detection using AI: A Survey
    Md Nazmul Kabir Sikder, Feras A. Batarseh
    http://arxiv.org/abs/2112.00588v1

    • [cs.LG]Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
    Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Re
    http://arxiv.org/abs/2112.00029v1

    • [cs.LG]PokeBNN: A Binary Pursuit of Lightweight Accuracy
    Yichi Zhang, Zhiru Zhang, Lukasz Lew
    http://arxiv.org/abs/2112.00133v1

    • [cs.LG]Public Data-Assisted Mirror Descent for Private Model Training
    Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
    http://arxiv.org/abs/2112.00193v1

    • [cs.LG]Robust and Provably Monotonic Networks
    Ouail Kitouni, Niklas Nolte, Mike Williams
    http://arxiv.org/abs/2112.00038v1

    • [cs.LG]SaDe: Learning Models that Provably Satisfy Domain Constraints
    Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
    http://arxiv.org/abs/2112.00552v1

    • [cs.LG]Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
    Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, Yudhanjaya Wijeratne
    http://arxiv.org/abs/2112.00468v1

    • [cs.LG]Show Your Work: Scratchpads for Intermediate Computation with Language Models
    Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena
    http://arxiv.org/abs/2112.00114v1

    • [cs.LG]Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
    Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida, Erich Morman
    http://arxiv.org/abs/2112.00141v1

    • [cs.LG]Structure-Aware Label Smoothing for Graph Neural Networks
    Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
    http://arxiv.org/abs/2112.00499v1

    • [cs.LG]The Geometric Occam’s Razor Implicit in Deep Learning
    Benoit Dherin, Michael Munn, David G. T. Barrett
    http://arxiv.org/abs/2111.15090v2

    • [cs.LG]Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
    Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Mehmet Gunturkun, Pau Rodriguez, David Vazquez
    http://arxiv.org/abs/2112.00570v1

    • [cs.LG]Towards Futuristic Autonomous Experimentation—A Surprise-Reacting Sequential Experiment Policy
    Imtiaz Ahmed, Satish Bukkapatnam, Bhaskar Botcha, Yu Ding
    http://arxiv.org/abs/2112.00600v1

    • [cs.LG]Training BatchNorm Only in Neural Architecture Search and Beyond
    Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang
    http://arxiv.org/abs/2112.00265v1

    • [cs.LG]Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming
    Sanjana Tule, Nhi Ha Lan Le, Buser Say
    http://arxiv.org/abs/2112.00434v1

    • [cs.LG]VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
    Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
    http://arxiv.org/abs/2112.00334v1

    • [cs.LG]What to Learn, and How: Toward Effective Learning from Rationales
    Samuel Carton, Surya Kanoria, Chenhao Tan
    http://arxiv.org/abs/2112.00071v1

    • [cs.NE]Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient
    Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig
    http://arxiv.org/abs/2112.00229v1

    • [cs.NI]A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing
    Farimasadat Miri, Richard Pazzi
    http://arxiv.org/abs/2112.00143v1

    • [cs.NI]Slicing Scheduling for Supporting Critical Traffic in Beyond 5G
    Ali Esmaeily, Katina Kralevska, Toktam Mahmoodi
    http://arxiv.org/abs/2112.00147v1

    • [cs.NI]TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks
    Zohreh Hajiakhondi Meybodi, Arash Mohammadi, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis
    http://arxiv.org/abs/2112.00633v1

    • [cs.RO]A Barrier Pair Method for Safe Human-Robot Shared Autonomy
    Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis
    http://arxiv.org/abs/2112.00279v1

    • [cs.RO]A general locomotion control framework for serially connected multi-legged robots
    Baxi Chong, Yasemin O. Aydin, Jennifer M. Rieser, Guillaume Sartoretti, Tianyu Wang, Julian Whitman, Abdul Kaba, Enes Aydin, Ciera McFarland, Howie Choset, Daniel I. Goldman
    http://arxiv.org/abs/2112.00662v1

    • [cs.RO]Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning
    Abhisesh Silwal, Francisco Yandun, Anjana Nellithimaru, Terry Bates, George Kantor
    http://arxiv.org/abs/2112.00291v1

    • [cs.RO]Concurrent Transmission for Multi-Robot Coordination
    Sourabha Bharadwaj, Karunakar Gonabattula, Sudipta Saha, Chayan Sarkar, Rekha Raja
    http://arxiv.org/abs/2112.00273v1

    • [cs.RO]Coordinated Multi-Robot Trajectory Tracking over Sampled Communication
    Enrica Rossi, Marco Tognon, Luca Ballotta, Ruggero Carli, Juan Cortés, Antonio Franchi, Luca Schenato
    http://arxiv.org/abs/2112.00165v1

    • [cs.RO]Research on Event Accumulator Settings for Event-Based SLAM
    Kun Xiao, Guohui Wang, Yi Chen, Yongfeng Xie, Hong Li
    http://arxiv.org/abs/2112.00427v1

    • [cs.RO]Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
    Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheeda, Omer San, Damiano Varagnolo
    http://arxiv.org/abs/2112.00115v1

    • [cs.RO]Tool as Embodiment for Recursive Manipulation
    Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu
    http://arxiv.org/abs/2112.00359v1

    • [cs.RO]Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
    Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
    http://arxiv.org/abs/2112.00597v1

    • [cs.SD]Environmental Sound Extraction Using Onomatopoeia
    Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi
    http://arxiv.org/abs/2112.00209v1

    • [cs.SD]Score Transformer: Generating Musical Score from Note-level Representation
    Masahiro Suzuki
    http://arxiv.org/abs/2112.00355v1

    • [cs.SD]Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles
    Hao Hao Tan
    http://arxiv.org/abs/2112.00702v1

    • [cs.SE]Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems
    Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang
    http://arxiv.org/abs/2112.00646v1

    • [cs.SI]‘Entanglement’ — A new dynamic metric to measure team flow
    P. A. Gloor, M. P. Zylka, A. Fronzetti Colladon, M. Makai
    http://arxiv.org/abs/2112.00538v1

    • [cs.SI]A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs
    Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat, François Théberge
    http://arxiv.org/abs/2112.00075v1

    • [cs.SI]Closeness Centrality via the Condorcet Principle
    Oskar Skibski
    http://arxiv.org/abs/2112.00494v1

    • [cs.SI]Data Augmentation Based on Null Model for Graph Classification
    Qi Xuan, Zeyu Wang, Jinhuan Wang, Yalu Shan, 1*
    http://arxiv.org/abs/2112.00476v1

    • [cs.SI]Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
    Camille Roth, Jonathan St-Onge, Katrin Herms
    http://arxiv.org/abs/2112.00554v1

    • [cs.SI]The Effect of People Recommenders on Echo Chambers and Polarization
    Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi
    http://arxiv.org/abs/2112.00626v1

    • [cs.SI]Unequal Opportunities in Multi-hop Referral Programs
    Yiguang Zhang, Augustin Chaintreau
    http://arxiv.org/abs/2112.00269v1

    • [eess.SP]DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks
    Zhuangzhuang Dai, Yuhang He, Tran Vu, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/2112.00695v1

    • [eess.SY]Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model
    Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry
    http://arxiv.org/abs/2112.00333v1

    • [hep-lat]Machine learning Hadron Spectral Functions in Lattice QCD
    Shi-Yang Chen, Heng-Tong Ding, Fei-Yi Liu, Gabor Papp, Chun-Bin Yang
    http://arxiv.org/abs/2112.00460v1

    • [hep-th]Learning knot invariants across dimensions
    Jessica C
    cfe
    raven, Mark Hughes, Vishnu Jejjala, Arjun Kar
    http://arxiv.org/abs/2112.00016v1

    • [math.NA]An adaptive mixture-population Monte Carlo method for likelihood-free inference
    Zhijian He, Shifeng Huo, Tianhui Yang
    http://arxiv.org/abs/2112.00420v1

    • [math.NA]Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit
    Liang S. Lai, Choi-Hong Lai, Abal-Kassim Cheik Ahamed, Frederic Magoules
    http://arxiv.org/abs/2112.00087v1

    • [math.OC]Comparing discounted and average-cost Markov Decision Processes: a statistical significance perspective
    Dylan Solms
    http://arxiv.org/abs/2112.00684v1

    • [math.OC]Distributed Forward-Backward Methods without Central Coordination
    Francisco J. Aragón-Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
    http://arxiv.org/abs/2112.00274v1

    • [math.PR]Invariance principle of random projection for the norm
    JunTao Duan
    http://arxiv.org/abs/2112.00300v1

    • [math.ST]Auto-Regressive Approximations to Non-stationary Time Series, with Inference and Applications
    Xiucai Ding, Zhou Zhou
    http://arxiv.org/abs/2112.00693v1

    • [math.ST]Dynamical hypothesis tests and Decision Theory for Gibbs distributions
    M. Denker, A. O. Lopes, S. R. C. Lopes
    http://arxiv.org/abs/2112.00670v1

    • [math.ST]Lévy copulas: a probabilistic point of view
    Ayi Ajavon
    http://arxiv.org/abs/2112.00696v1

    • [math.ST]Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression
    Akifumi Okuno, Masaaki Imaizumi
    http://arxiv.org/abs/2112.00213v1

    • [physics.comp-ph]Graph neural networks for fast electron density estimation of molecules, liquids, and solids
    Peter Bjørn Jørgensen, Arghya Bhowmik
    http://arxiv.org/abs/2112.00652v1

    • [physics.soc-ph]Descriptive vs. inferential community detection: pitfalls, myths and half-truths
    Tiago P. Peixoto
    http://arxiv.org/abs/2112.00183v1

    • [q-bio.QM]Algebra, Geometry and Topology of ERK Kinetics
    Lewis Marsh, Emilie Dufresne, Helen M. Byrne, Heather A. Harrington
    http://arxiv.org/abs/2112.00688v1

    • [q-bio.QM]Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
    Wei-Cheng Tseng, Po-Han Chi, Jia-Hua Wu, Min Sun
    http://arxiv.org/abs/2112.00344v1

    • [quant-ph](Causal)-Activation of Complex Entanglement Structures in Quantum Networks
    Seid Koudia, Angela Sara Cacciapuoti, Marcello Caleffi
    http://arxiv.org/abs/2112.00543v1

    • [quant-ph]Discriminating Quantum States with Quantum Machine Learning
    David Quiroga, Prasanna Date, Raphael C. Pooser
    http://arxiv.org/abs/2112.00313v1

    • [quant-ph]Infinite Neural Network Quantum States
    Di Luo, James Halverson
    http://arxiv.org/abs/2112.00723v1

    • [quant-ph]On the challenges of using D-Wave computers to sample Boltzmann Random Variables
    Thomas Pochart, Paulin Jacquot, Joseph Mikael
    http://arxiv.org/abs/2111.15295v2

    • [stat.AP]Teaching Bayes’ Rule using Mosaic Plots
    Edward D. White, Richard L. Warr
    http://arxiv.org/abs/2112.00162v1

    • [stat.ME]AR-sieve Bootstrap for High-dimensional Time Series
    Daning Bi, Han Lin Shang, Yanrong Yang, Huanjun Zhu
    http://arxiv.org/abs/2112.00414v1

    • [stat.ME]An Alternative Perspective on the Robust Poisson Model for Estimating Risk or Prevalence Ratios
    Denis Talbot, Miceline Mésidor, Yohann Chiu, Caroline Sirois
    http://arxiv.org/abs/2112.00547v1

    • [stat.ME]Conditional Randomization Rank Test
    Yanjie Zhong, Todd Kuffner, Soumendra Lahiri
    http://arxiv.org/abs/2112.00258v1

    • [stat.ME]Controlling for multiple covariates
    Mark Tygert
    http://arxiv.org/abs/2112.00672v1

    • [stat.ME]Efficient Estimation Under Data Fusion
    Sijia Li, Alex Luedtke
    http://arxiv.org/abs/2111.14945v2

    • [stat.ME]Ensuring valid inference for hazard ratios after variable selection
    Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
    http://arxiv.org/abs/2112.00172v1

    • [stat.ME]Functional regression clustering with multiple functional gene expressions
    Susana Conde, Shahin Tavakoli, Daphne Ezer
    http://arxiv.org/abs/2112.00224v1

    • [stat.ME]Non-splitting Neyman-Pearson Classifiers
    Jingming Wang, Lucy Xia, Zhigang Bao, Xin Tong
    http://arxiv.org/abs/2112.00329v1

    • [stat.ME]Nonparametric Methods for Complex Multivariate Data: Asymptotics and Small Sample Approximations
    Yue Cui, Solomon W. Harrar
    http://arxiv.org/abs/2112.00106v1

    • [stat.ME]Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
    Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sebastien Lahaie, Miles Lubin, Vahab Mirrokni, Jann Spiess, Guido Imbens
    http://arxiv.org/abs/2112.00278v1

    • [stat.ML]Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm
    Shunan Yao, Bradley Rava, Xin Tong, Gareth James
    http://arxiv.org/abs/2112.00314v1

    • [stat.ML]Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning
    Titouan Vayer, Rémi Gribonval
    http://arxiv.org/abs/2112.00423v1

    • [stat.ML]Convergence of GANs Training: A Game and Stochastic Control Methodology
    Othmane Mounjid, Xin Guo
    http://arxiv.org/abs/2112.00222v1

    • [stat.ML]Mixed neural network Gaussian processes
    Alexey Lindo, Theodore Papamarkou, Serik Sagitov, Laura Stewart
    http://arxiv.org/abs/2112.00365v1

    • [stat.ML]On Mixing Times of Metropolized Algorithm With Optimization Step (MAO) : A New Framework
    EL Mahdi Khribch, George Deligiannidis, Daniel Paulin
    http://arxiv.org/abs/2112.00565v1