astro-ph.CO - 宇宙学和天体物理学
    cond-mat.mtrl-sci - 材料科学
    cs.AI - 人工智能
    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.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    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
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.CO - 组合数学
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.optics - 光学
    q-bio.QM - 定量方法
    q-fin.PM - 投资组合管理
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.CO]Super-resolving Dark Matter Halos using Generative Deep Learning
    • [cond-mat.mtrl-sci]Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks
    • [cs.AI]A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
    • [cs.AI]Agent Spaces
    • [cs.AI]Answer Set Programming Made Easy
    • [cs.AI]Recent Advances in Automated Question Answering In Biomedical Domain
    • [cs.AI]Search in Imperfect Information Games
    • [cs.CC]Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning
    • [cs.CE]Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling
    • [cs.CL]A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
    • [cs.CL]A Novel Corpus of Discourse Structure in Humans and Computers
    • [cs.CL]An Enactivist account of Mind Reading in Natural Language Understanding
    • [cs.CL]Character-level HyperNetworks for Hate Speech Detection
    • [cs.CL]Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
    • [cs.CL]Identification of Fine-Grained Location Mentions in Crisis Tweets
    • [cs.CL]Improving Large-scale Language Models and Resources for Filipino
    • [cs.CL]Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
    • [cs.CL]Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
    • [cs.CL]Scaling ASR Improves Zero and Few Shot Learning
    • [cs.CL]Self-Normalized Importance Sampling for Neural Language Modeling
    • [cs.CL]Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
    • [cs.CL]Training Cross-Lingual embeddings for Setswana and Sepedi
    • [cs.CR]Cybersecurity Issues and Practices in a Cloud Context: A Comparison Amongst Micro, Small and Medium Enterprises
    • [cs.CR]Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
    • [cs.CV]6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping
    • [cs.CV]A Survey of Visual Transformers
    • [cs.CV]An Extensive Study of User Identification via Eye Movements across Multiple Datasets
    • [cs.CV]Automatically identifying a mobile phone user’s position within a vehicle
    • [cs.CV]Clicking Matters:Towards Interactive Human Parsing
    • [cs.CV]Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
    • [cs.CV]Dense Unsupervised Learning for Video Segmentation
    • [cs.CV]FINO: Flow-based Joint Image and Noise Model
    • [cs.CV]Feature Generation for Long-tail Classification
    • [cs.CV]Fine-Grained Image Analysis with Deep Learning: A Survey
    • [cs.CV]Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture
    • [cs.CV]Hybrid Saturation Restoration for LDR Images of HDR Scenes
    • [cs.CV]Indian Licence Plate Dataset in the wild
    • [cs.CV]Masked Autoencoders Are Scalable Vision Learners
    • [cs.CV]Multimodal End-to-End Group Emotion Recognition using Cross-Modal Attention
    • [cs.CV]Open surgery tool classification and hand utilization using a multi-camera system
    • [cs.CV]Self-Supervised Multi-Object Tracking with Cross-Input Consistency
    • [cs.CV]Self-Supervised Real-time Video Stabilization
    • [cs.CV]Semantic-aware Representation Learning Via Probability Contrastive Loss
    • [cs.CV]Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
    • [cs.CV]Synthetic Document Generator for Annotation-free Layout Recognition
    • [cs.CV]The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
    • [cs.CV]Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
    • [cs.CV]Traffic4cast — Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
    • [cs.CV]Unsupervised Part Discovery from Contrastive Reconstruction
    • [cs.CV]csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
    • [cs.CY]Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
    • [cs.CY]Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
    • [cs.CY]Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow
    • [cs.CY]Nation-wide Mood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    • [cs.CY]The Application of Digital Technology and the Learning Characteristics of Generation Z in Higher Education
    • [cs.CY]The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming
    • [cs.CY]The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities
    • [cs.DC]A Visual Analytics Framework for Distributed Data Analysis Systems
    • [cs.DC]At the Edge of a Seamless Cloud Experience
    • [cs.DC]Fairness-aware Crowdsourcing of IoT Energy Services
    • [cs.DC]Supporting and Controlling Complex Concurrency in Fault- Tolerant Distributed Systems
    • [cs.DL]Towards Understanding Enablers of Digital Transformation in Small and Medium-Sized Enterprises
    • [cs.IR]Cross-language Information Retrieval
    • [cs.IT]Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
    • [cs.IT]Keyless Authentication for AWGN Channels
    • [cs.IT]Low Complexity Channel Estimation for OTFS Modulation with Fractional Delay and Doppler
    • [cs.IT]Multivariate Analytic Combinatorics for Cost Constrained Channels and Subsequence Enumeration
    • [cs.IT]On the structure of 今日学术视野(2021.11.13) - 图1-generator quasi-polycyclic codes over finite chain rings
    • [cs.IT]Privacy signalling games with binary alphabets
    • [cs.IT]Transmission Power Control for Over-the-Air Federated Averaging at Network Edge
    • [cs.LG]A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
    • [cs.LG]Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
    • [cs.LG]AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero
    • [cs.LG]Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
    • [cs.LG]BOiLS: Bayesian Optimisation for Logic Synthesis
    • [cs.LG]Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
    • [cs.LG]Causal KL: Evaluating Causal Discovery
    • [cs.LG]Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
    • [cs.LG]Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks
    • [cs.LG]Climate Modeling with Neural Diffusion Equations
    • [cs.LG]Constrained Stochastic Submodular Maximization with State-Dependent Costs
    • [cs.LG]CubeTR: Learning to Solve The Rubiks Cube Using Transformers
    • [cs.LG]Detecting Fake Points of Interest from Location Data
    • [cs.LG]Discovering and Explaining the Representation Bottleneck of DNNs
    • [cs.LG]Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
    • [cs.LG]DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
    • [cs.LG]Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
    • [cs.LG]Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series
    • [cs.LG]FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
    • [cs.LG]Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
    • [cs.LG]Graph Neural Network Training with Data Tiering
    • [cs.LG]HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
    • [cs.LG]How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning
    • [cs.LG]Implicit SVD for Graph Representation Learning
    • [cs.LG]Improvements to short-term weather prediction with recurrent-convolutional networks
    • [cs.LG]Improving Novelty Detection using the Reconstructions of Nearest Neighbours
    • [cs.LG]Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
    • [cs.LG]Learning Signal-Agnostic Manifolds of Neural Fields
    • [cs.LG]Learning from Mistakes — A Framework for Neural Architecture Search
    • [cs.LG]Linear Speedup in Personalized Collaborative Learning
    • [cs.LG]Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
    • [cs.LG]Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
    • [cs.LG]Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
    • [cs.LG]On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
    • [cs.LG]Persia: A Hybrid System Scaling Deep Learning Based Recommenders up to 100 Trillion Parameters
    • [cs.LG]Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
    • [cs.LG]PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
    • [cs.LG]Raman spectroscopy in open world learning settings using the Objectosphere approach
    • [cs.LG]Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
    • [cs.LG]Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
    • [cs.LG]Robust Learning via Ensemble Density Propagation in Deep Neural Networks
    • [cs.LG]SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
    • [cs.LG]Self-Compression in Bayesian Neural Networks
    • [cs.LG]Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
    • [cs.LG]Solving Multi-Arm Bandit Using a Few Bits of Communication
    • [cs.LG]Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization
    • [cs.LG]Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models
    • [cs.LG]Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima
    • [cs.LG]Training neural networks with synthetic electrocardiograms
    • [cs.NE]Does the Brain Infer Invariance Transformations from Graph Symmetries?
    • [cs.NE]Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations
    • [cs.NI]Classification of URL bitstreams using Bag of Bytes
    • [cs.NI]Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression
    • [cs.NI]Understanding mobility in networks: A node embedding approach
    • [cs.RO]A Portable and Passive Gravity Compensation Arm Support for Drone Teleoperation
    • [cs.RO]A soft thumb-sized vision-based sensor with accurate all-round force perception
    • [cs.RO]AlphaGarden: Learning to Autonomously Tend a Polyculture Garden
    • [cs.RO]An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace
    • [cs.RO]Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation
    • [cs.RO]Full-Body Visual Self-Modeling of Robot Morphologies
    • [cs.RO]Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation
    • [cs.RO]Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft
    • [cs.RO]Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions
    • [cs.RO]Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
    • [cs.SD]Music Score Expansion with Variable-Length Infilling
    • [cs.SD]Structure from Silence: Learning Scene Structure from Ambient Sound
    • [cs.SD]Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset
    • [cs.SD]Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
    • [cs.SE]Agile Information System Development Organizations Transforming to Large-Scale Collaboration
    • [cs.SI]A study on Channel Popularity in Twitch
    • [cs.SI]Applicability of Multilayer Diffusion Network Inference to Social Media Data
    • [cs.SI]Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies
    • [cs.SI]From words to connections: Word use similarity as an honest signal conducive to employees’ digital communication
    • [eess.IV]Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training
    • [eess.IV]CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction
    • [eess.IV]Related Work on Image Quality Assessment
    • [eess.IV]Trustworthy Medical Segmentation with Uncertainty Estimation
    • [eess.SP]Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
    • [eess.SP]User Activity Detection for Irregular Repetition Slotted Aloha based MMTC
    • [eess.SY]Model-Based Reinforcement Learning for Stochastic Hybrid Systems
    • [eess.SY]On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
    • [math.CO]Rectangular, Range, and Restricted AONTs: Three Generalizations of All-or-Nothing Transforms
    • [math.OC]Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
    • [math.ST]PDMP Monte Carlo methods for piecewise-smooth densities
    • [math.ST]Tight bounds for minimum l1-norm interpolation of noisy data
    • [physics.optics]Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Design
    • [q-bio.QM]A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning
    • [q-fin.PM]A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
    • [quant-ph]A Hierarchy for Replica Quantum Advantage
    • [quant-ph]Exponential separations between learning with and without quantum memory
    • [quant-ph]Quantum Information Dimension and Geometric Entropy
    • [quant-ph]Quantum Model-Discovery
    • [quant-ph]Reliability Function of Quantum Information Decoupling
    • [stat.AP]Design of porthole aluminium extrusion dies through mathematical formulation
    • [stat.AP]Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing
    • [stat.AP]ORION-AE: Multisensor acoustic emission datasets reflecting supervised untightening of bolts in a jointed vibrating structure
    • [stat.AP]Pool samples to efficiently estimate pathogen prevalence dynamics
    • [stat.AP]Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata
    • [stat.AP]The modeling of multiple animals that share behavioral features
    • [stat.CO]Simulating High-Dimensional Multivariate Data using the bigsimr R Package
    • [stat.ME]Accurate confidence interval estimation for non-centrality parameters and effect size indices
    • [stat.ME]Haar-Weave-Metropolis kernel
    • [stat.ME]Integrating metabolic networks and growth biomarkers to unveil potential mechanisms of obesity
    • [stat.ME]On Recovering the Best Rank-r Approximation from Few Entries
    • [stat.ME]Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series
    • [stat.ME]Robust Integrative Biclustering for Multi-view Data
    • [stat.ML]Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
    • [stat.ML]Kalman Filtering with Adversarial Corruptions
    • [stat.ML]On the Equivalence between Neural Network and Support Vector Machine
    • [stat.ML]SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

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

    • [astro-ph.CO]Super-resolving Dark Matter Halos using Generative Deep Learning
    David Schaurecker, Yin Li, Jeremy Tinker, Shirley Ho, Alexandre Refregier
    http://arxiv.org/abs/2111.06393v1

    • [cond-mat.mtrl-sci]Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks
    Nghia Nguyen, Steph-Yves Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu
    http://arxiv.org/abs/2111.05885v1

    • [cs.AI]A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
    Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
    http://arxiv.org/abs/2111.06077v1

    • [cs.AI]Agent Spaces
    John C. Raisbeck, Matthew W. Allen, Hakho Lee
    http://arxiv.org/abs/2111.06005v1

    • [cs.AI]Answer Set Programming Made Easy
    Jorge Fandinno, Seemran Mishra, Javier Romero, Torsten Schaub
    http://arxiv.org/abs/2111.06366v1

    • [cs.AI]Recent Advances in Automated Question Answering In Biomedical Domain
    Krishanu Das Baksi
    http://arxiv.org/abs/2111.05937v1

    • [cs.AI]Search in Imperfect Information Games
    Martin Schmid
    http://arxiv.org/abs/2111.05884v1

    • [cs.CC]Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning
    Jiaxi Zhang, Liwei Ni, Shenggen Zheng, Hao Liu, Xiangfu Zou, Feng Wang, Guojie Luo
    http://arxiv.org/abs/2111.06213v1

    • [cs.CE]Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling
    Dongwei Ye, Pavel Zun, Valeria Krzhizhanovskaya, Alfons G. Hoekstra
    http://arxiv.org/abs/2111.06173v1

    • [cs.CL]A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
    Jianyun Zou, Min Yang, Lichao Zhang, Yechen Xu, Qifan Pan, Fengqing Jiang, Ran Qin, Shushu Wang, Yifan He, Songfang Huang, Zhou Zhao
    http://arxiv.org/abs/2111.06086v1

    • [cs.CL]A Novel Corpus of Discourse Structure in Humans and Computers
    Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Bjorn Sandstede, Steven Sloman
    http://arxiv.org/abs/2111.05940v1

    • [cs.CL]An Enactivist account of Mind Reading in Natural Language Understanding
    Peter Wallis, Bruce Edmonds
    http://arxiv.org/abs/2111.06179v1

    • [cs.CL]Character-level HyperNetworks for Hate Speech Detection
    Tomer Wullach, Amir Adler, Einat Minkov
    http://arxiv.org/abs/2111.06336v1

    • [cs.CL]Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
    Xuechun Li, Xueyao Sun, Zewei Xu, Yifan Zhou
    http://arxiv.org/abs/2111.06070v1

    • [cs.CL]Identification of Fine-Grained Location Mentions in Crisis Tweets
    Sarthak Khanal, Maria Traskowsky, Doina Caragea
    http://arxiv.org/abs/2111.06334v1

    • [cs.CL]Improving Large-scale Language Models and Resources for Filipino
    Jan Christian Blaise Cruz, Charibeth Cheng
    http://arxiv.org/abs/2111.06053v1

    • [cs.CL]Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
    Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron Wallace, Parminder Bhatia
    http://arxiv.org/abs/2111.06012v1

    • [cs.CL]Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
    Vikram Gupta
    http://arxiv.org/abs/2111.06181v1

    • [cs.CL]Scaling ASR Improves Zero and Few Shot Learning
    Alex Xiao, Weiyi Zheng, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed
    http://arxiv.org/abs/2111.05948v1

    • [cs.CL]Self-Normalized Importance Sampling for Neural Language Modeling
    Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/2111.06310v1

    • [cs.CL]Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
    Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
    http://arxiv.org/abs/2111.06103v1

    • [cs.CL]Training Cross-Lingual embeddings for Setswana and Sepedi
    Mack Makgatho, Vukosi Marivate, Tshephisho Sefara, Valencia Wagner
    http://arxiv.org/abs/2111.06230v1

    • [cs.CR]Cybersecurity Issues and Practices in a Cloud Context: A Comparison Amongst Micro, Small and Medium Enterprises
    Ruwan Nagahawatta, Sachithra Lokuge, Matthew Warren, Scott Salzman
    http://arxiv.org/abs/2111.05993v1

    • [cs.CR]Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
    Timon Rückel, Johannes Sedlmeir, Peter Hofmann
    http://arxiv.org/abs/2111.06290v1

    • [cs.CV]6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping
    Tuan-Tang Le, Trung-Son Le, Yu-Ru Chen, Joel Vidal, Chyi-Yeu Lin
    http://arxiv.org/abs/2111.06276v1

    • [cs.CV]A Survey of Visual Transformers
    Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
    http://arxiv.org/abs/2111.06091v1

    • [cs.CV]An Extensive Study of User Identification via Eye Movements across Multiple Datasets
    Sahar Mahdie Klim Al Zaidawi, Martin H. U. Prinzler, Jonas Lührs, Sebastian Maneth
    http://arxiv.org/abs/2111.05901v1

    • [cs.CV]Automatically identifying a mobile phone user’s position within a vehicle
    Matt Knutson, Kevin Kramer, Sara Seifert, Ryan Chamberlain
    http://arxiv.org/abs/2111.06306v1

    • [cs.CV]Clicking Matters:Towards Interactive Human Parsing
    Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei
    http://arxiv.org/abs/2111.06162v1

    • [cs.CV]Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
    Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
    http://arxiv.org/abs/2111.05916v1

    • [cs.CV]Dense Unsupervised Learning for Video Segmentation
    Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
    http://arxiv.org/abs/2111.06265v1

    • [cs.CV]FINO: Flow-based Joint Image and Noise Model
    Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen
    http://arxiv.org/abs/2111.06031v1

    • [cs.CV]Feature Generation for Long-tail Classification
    Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi
    http://arxiv.org/abs/2111.05956v1

    • [cs.CV]Fine-Grained Image Analysis with Deep Learning: A Survey
    Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge Belongie
    http://arxiv.org/abs/2111.06119v1

    • [cs.CV]Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture
    Michael Yang, Aditya Anantharaman, Zachary Kitowski, Derik Clive Robert
    http://arxiv.org/abs/2111.06075v1

    • [cs.CV]Hybrid Saturation Restoration for LDR Images of HDR Scenes
    Chaobing Zheng, Zhengguo Li, Shiqian Wu
    http://arxiv.org/abs/2111.06038v1

    • [cs.CV]Indian Licence Plate Dataset in the wild
    Sanchit Tanwar, Ayush Tiwari, Ritesh Chowdhry
    http://arxiv.org/abs/2111.06054v1

    • [cs.CV]Masked Autoencoders Are Scalable Vision Learners
    Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick
    http://arxiv.org/abs/2111.06377v1

    • [cs.CV]Multimodal End-to-End Group Emotion Recognition using Cross-Modal Attention
    Lev Evtodienko
    http://arxiv.org/abs/2111.05890v1

    • [cs.CV]Open surgery tool classification and hand utilization using a multi-camera system
    Kristina Basiev, Adam Goldbraikh, Carla M Pugh, Shlomi Laufer
    http://arxiv.org/abs/2111.06098v1

    • [cs.CV]Self-Supervised Multi-Object Tracking with Cross-Input Consistency
    Favyen Bastani, Songtao He, Sam Madden
    http://arxiv.org/abs/2111.05943v1

    • [cs.CV]Self-Supervised Real-time Video Stabilization
    Jinsoo Choi, Jaesik Park, In So Kweon
    http://arxiv.org/abs/2111.05980v1

    • [cs.CV]Semantic-aware Representation Learning Via Probability Contrastive Loss
    Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu
    http://arxiv.org/abs/2111.06021v1

    • [cs.CV]Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
    Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad A. Al Faruque
    http://arxiv.org/abs/2111.06123v1

    • [cs.CV]Synthetic Document Generator for Annotation-free Layout Recognition
    Natraj Raman, Sameena Shah, Manuela Veloso
    http://arxiv.org/abs/2111.06016v1

    • [cs.CV]The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
    Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
    http://arxiv.org/abs/2111.06394v1

    • [cs.CV]Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
    Yadong Li, Dongheng Zhang, Jinbo Chen, Jinwei Wan, Dong Zhang, Yang Hu, Qibin Sun, Yan Chen
    http://arxiv.org/abs/2111.06195v1

    • [cs.CV]Traffic4cast — Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
    Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai L. Vu
    http://arxiv.org/abs/2111.05990v1

    • [cs.CV]Unsupervised Part Discovery from Contrastive Reconstruction
    Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
    http://arxiv.org/abs/2111.06349v1

    • [cs.CV]csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
    Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2111.06020v1

    • [cs.CY]Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
    Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Erika Halme, Hannakaisa Isomäki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri
    http://arxiv.org/abs/2111.06207v1

    • [cs.CY]Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
    Narges Ahani, Andrew C. Trapp
    http://arxiv.org/abs/2111.05796v2

    • [cs.CY]Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow
    Erika Halme, Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Marianna Jantunen, Arif Ali Khan, Kai-Kristian Kemell, Ville Vakkuri, Pekka Abrahamsson
    http://arxiv.org/abs/2111.06116v1

    • [cs.CY]Nation-wide Mood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
    Wataru Sasaki, Hiroshi Kawane, Satoko Miyahara, Kota Tsubouchi, Tadashi Okoshi
    http://arxiv.org/abs/2111.05537v2

    • [cs.CY]The Application of Digital Technology and the Learning Characteristics of Generation Z in Higher Education
    Ali Alruthaya, Thanh-Thuy Nguyen, Sachithra Lokuge
    http://arxiv.org/abs/2111.05991v1

    • [cs.CY]The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming
    Tahiya Chowdhury
    http://arxiv.org/abs/2111.06013v1

    • [cs.CY]The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities
    Alexander Wenz, Florian Keusch
    http://arxiv.org/abs/2111.05142
    1055
    v1
    1055
    v1)

    • [cs.DC]A Visual Analytics Framework for Distributed Data Analysis Systems
    Abdullah-Al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho
    http://arxiv.org/abs/2111.05979v1

    • [cs.DC]At the Edge of a Seamless Cloud Experience
    Samuel Rac, Mats Brorsson
    http://arxiv.org/abs/2111.06157v1

    • [cs.DC]Fairness-aware Crowdsourcing of IoT Energy Services
    Abdallah Lakhdari, Athman Bouguettaya
    http://arxiv.org/abs/2111.06064v1

    • [cs.DC]Supporting and Controlling Complex Concurrency in Fault- Tolerant Distributed Systems
    Jie Xu, Brian Randell, Alexander Romanovsky, Robert J. Stroud, Avelino F. Zorzo
    http://arxiv.org/abs/2111.06339v1

    • [cs.DL]Towards Understanding Enablers of Digital Transformation in Small and Medium-Sized Enterprises
    Sachithra Lokuge, Sophia Xiaoxia Duan
    http://arxiv.org/abs/2111.05989v1

    • [cs.IR]Cross-language Information Retrieval
    Petra Galuščáková, Douglas W. Oard, Suraj Nair
    http://arxiv.org/abs/2111.05988v1

    • [cs.IT]Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
    Petar Popovski, Federico Chiariotti, Victor Croisfelt, Anders E. Kalør, Israel Leyva-Mayorga, Letizia Marchegiani, Shashi Raj Pandey, Beatriz Soret
    http://arxiv.org/abs/2111.05811v2

    • [cs.IT]Keyless Authentication for AWGN Channels
    Eric Graves, Allison Beemer, Jorg Kliewer, Oliver Kosut, Paul Yu
    http://arxiv.org/abs/2111.06386v1

    • [cs.IT]Low Complexity Channel Estimation for OTFS Modulation with Fractional Delay and Doppler
    Imran Ali Khan, Saif Khan Mohammed
    http://arxiv.org/abs/2111.06009v1

    • [cs.IT]Multivariate Analytic Combinatorics for Cost Constrained Channels and Subsequence Enumeration
    Andreas Lenz, Stephen Melczer, Cyrus Rashtchian, Paul H. Siegel
    http://arxiv.org/abs/2111.06105v1

    • [cs.IT]On the structure of 今日学术视野(2021.11.13) - 图2-generator quasi-polycyclic codes over finite chain rings
    Rongsheng Wu, Minjia Shi, Patrick Solé
    http://arxiv.org/abs/1000
    s/2111.04914v1
    s/2111.04914v1)

    • [cs.IT]Privacy signalling games with binary alphabets
    Photios A. Stavrou, Serkan Saritas, Mikael Skoglund
    http://arxiv.org/abs/2111.05947v1

    • [cs.IT]Transmission Power Control for Over-the-Air Federated Averaging at Network Edge
    Xiaowen Cao, Guangxu Zhu, Jie Xu, Shuguang Cui
    http://arxiv.org/abs/2111.05719v2

    • [cs.LG]A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
    Vahid Reza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi, T. Y. Yang, Andy Nguyene, Seyedali Mirjalili, C. Málaga-Chuquitaype
    http://arxiv.org/abs/2111.06155v1

    • [cs.LG]Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
    William Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas Spanos
    http://arxiv.org/abs/2111.06025v1

    • [cs.LG]AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero
    Kazuhisa Fujita
    http://arxiv.org/abs/2111.06266v1

    • [cs.LG]Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
    Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Cavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela
    http://arxiv.org/abs/2111.05972v1

    • [cs.LG]BOiLS: Bayesian Optimisation for Logic Synthesis
    Antoine Grosnit, Cedric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou Ammar
    http://arxiv.org/abs/2111.06178v1

    • [cs.LG]Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
    Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu
    http://arxiv.org/abs/2111.06032v1

    • [cs.LG]Causal KL: Evaluating Causal Discovery
    Rodney T. O’Donnell, Kevin B. Korb, Lloyd Allison
    http://arxiv.org/abs/2111.06029v1

    • [cs.LG]Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
    Rajiv Sambasivan, Mark Burgess, Jörg Schad, Arthur Keen, Christopher Woodward, Alexander Geenen, Sachin Sharma
    http://arxiv.org/abs/2111.06057v1

    • [cs.LG]Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks
    Mahmoud S. Fayed
    http://arxiv.org/abs/2111.05976v1

    • [cs.LG]Climate Modeling with Neural Diffusion Equations
    Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
    http://arxiv.org/abs/2111.06011v1

    • [cs.LG]Constrained Stochastic Submodular Maximization with State-Dependent Costs
    Shaojie Tang
    http://arxiv.org/abs/2111.06037v1

    • [cs.LG]CubeTR: Learning to Solve The Rubiks Cube Using Transformers
    Mustafa Ebrahim Chasmai
    http://arxiv.org/abs/2111.06036v1

    • [cs.LG]Detecting Fake Points of Interest from Location Data
    Syed Raza Bashir, Vojislav Misic
    http://arxiv.org/abs/2111.06003v1

    • [cs.LG]Discovering and Explaining the Representation Bottleneck of DNNs
    Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
    http://arxiv.org/abs/2111.06236v1

    • [cs.LG]Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
    I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
    http://arxiv.org/abs/2111.06383v1

    • [cs.LG]DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
    Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
    http://arxiv.org/abs/2111.06283v1

    • [cs.LG]Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
    Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
    http://arxiv.org/abs/2111.06061v1

    • [cs.LG]Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series
    Wenyi Wang, John Taylor, Biswajit Bala
    http://arxiv.org/abs/2111.06060v1

    • [cs.LG]FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
    Peichun Li, Xumin Huang, Miao Pan, Rong Yu
    http://arxiv.org/abs/2111.06146v1

    • [cs.LG]Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
    Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
    http://arxiv.org/abs/2111.05941v1

    • [cs.LG]Graph Neural Network Training with Data Tiering
    Seung Won Min, Kun Wu, Mert Hidayetoğlu, Jinjun Xiong, Xiang Song, Wen-mei Hwu
    http://arxiv.org/abs/2111.05894v1

    • [cs.LG]HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
    Qinze Yu, Zhihang Dong, Xingyu Fan, Licheng Zong, Yu Li
    http://arxiv.org/abs/2111.06023v1

    • [cs.LG]How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning
    Zhi Chen, Alexander Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin
    http://arxiv.org/abs/2111.05949v1

    • [cs.LG]Implicit SVD for Graph Representation Learning
    Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/2111.06312v1

    • [cs.LG]Improvements to short-term weather prediction with recurrent-convolutional networks
    Jussi Leinonen
    http://arxiv.org/abs/2111.06240v1

    • [cs.LG]Improving Novelty Detection using the Reconstructions of Nearest Neighbours
    Michael Mesarcik, Elena Ranguelova, Albert-Jan Boonstra, Rob V. van Nieuwpoort
    http://arxiv.org/abs/2111.06150v1

    • [cs.LG]Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
    Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor Bihl
    http://arxiv.org/abs/2111.05955v1

    • [cs.LG]Learning Signal-Agnostic Manifolds of Neural Fields
    Yilun Du, Katherine M. Collins, Joshua B. Tenenbaum, Vincent Sitzmann
    http://arxiv.org/abs/2111.06387v1

    • [cs.LG]Learning from Mistakes — A Framework for Neural Architecture Search
    Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric Xing, Pengtao Xie
    http://arxiv.org/abs/2111.06353v1

    • [cs.LG]Linear Speedup in Personalized Collaborative Learning
    El Mahdi Chayti, Sai Praneeth Karimireddy, Sebastian U. Stich, Nicolas Flammarion, Martin Jaggi
    http://arxiv.org/abs/2111.05968v1

    • [cs.LG]Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
    Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen
    http://arxiv.org/abs/2111.06152v1

    • [cs.LG]Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
    Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wanchen Ge
    http://arxiv.org/abs/2111.06318v1

    • [cs.LG]Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
    Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm
    http://arxiv.org/abs/2111.06008v1

    • [cs.LG]On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
    Andrew Cohen, Ervin Teng, Vincent-Pierre Berges, Ruo-Ping Dong, Hunter Henry, Marwan Mattar, Alexander Zook, Sujoy Ganguly
    http://arxiv.org/abs/2111.05992v1

    • [cs.LG]Persia: A Hybrid System Scaling Deep Learning Based Recommenders up to 100 Trillion Parameters
    Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
    http://arxiv.org/abs/2111.05897v1

    • [cs.LG]Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
    Peru Bhardwaj, John Kelleher, Luca Costabello, Declan O’Sullivan
    http://arxiv.org/abs/2111.06345v1

    • [cs.LG]PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
    David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
    http://arxiv.org/abs/2111.05969v1

    • [cs.LG]Raman spectroscopy in open world learning settings using the Objectosphere approach
    Yaroslav Balytskyi, Justin Bendesky, Tristan Paul, Guy Hagen, Kelly McNear
    http://arxiv.org/abs/2111.06268v1

    • [cs.LG]Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
    Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jiri Kuchynka, Ales Prochazka, Saeid Sane
    http://arxiv.org/abs/2111.05917v1

    • [cs.LG]Reducing Data Complexity using Autoencoders with Class-informed Loss Functions
    David Charte, Francisco Charte, Francisco Herrera
    http://arxiv.org/abs/2111.06142v1

    • [cs.LG]Robust Learning via Ensemble Density Propagation in Deep Neural Networks
    Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
    http://arxiv.org/abs/2111.05953v1

    • [cs.LG]SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
    Atefeh Sohrabizadeh, Yuze Chi, Jason Cong
    http://arxiv.org/abs/2111.05936v1

    • [cs.LG]Self-Compression in Bayesian Neural Networks
    Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya
    http://arxiv.org/abs/2111.05950v1

    • [cs.LG]Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word
    Chao Zhang, Jaswanth Yella, Yu Huang, Xiaoye Qian, Sergei Petrov, Andrey Rzhetsky, Sthitie Bom
    http://arxiv.org/abs/2111.05973v1

    • [cs.LG]Solving Multi-Arm Bandit Using a Few Bits of Communication
    Osama A. Hanna, Lin F. Yang, Christina Fragouli
    http://arxiv.org/abs/2111.06067v1

    • [cs.LG]Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization
    Zaiwei Chen, Shancong Mou, Siva Theja Maguluri
    http://arxiv.org/abs/2111.06328v1

    • [cs.LG]Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models
    Jie Ren, Mingjie Li, Qihan Ren, Huiqi Deng, Quanshi Zhang
    http://arxiv.org/abs/2111.06206v1

    • [cs.LG]Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima
    Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
    http://arxiv.org/abs/2111.06027v1

    • [cs.LG]Training neural networks with synthetic electrocardiograms
    Matti Kaisti, Juho Laitala, Antti Airola
    http://arxiv.org/abs/2111.06175v1

    • [cs.NE]Does the Brain Infer Invariance Transformations from Graph Symmetries?
    Helmut Linde
    http://arxiv.org/abs/2111.06174v1

    • [cs.NE]Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations
    Thomas Asikis
    http://arxiv.org/abs/2111.05944v1

    • [cs.NI]Classification of URL bitstreams using Bag of Bytes
    Keiichi Shima, Daisuke Miyamoto, Hiroshi Abe, Tomohiro Ishihara, Kazuya Okada, Yuji Sekiya, Hirochika Asai, Yusuke Doi
    http://arxiv.org/abs/2111.06087v1

    • [cs.NI]Towards Live Video Analytics with On-Drone Deeper-yet-Compatible Compression
    Junpeng Guo, Chunyi Peng
    http://arxiv.org/abs/2111.06263v1

    • [cs.NI]Understanding mobility in networks: A node embedding approach
    Matheus F. C. Barros, Carlos H. G. Ferreira, Bruno Pereira dos Santos, Lourenço A. P. Júnior, Marco Mellia, Jussara M. Almeida
    http://arxiv.org/abs/2111.06161v1

    • [cs.RO]A Portable and Passive Gravity Compensation Arm Support for Drone Teleoperation
    Carine Rognon, Loic Grossen, Stefano Mintchev, Jenifer Miehlbradt, Silvestro Micera, Dario Floreano
    http://arxiv.org/abs/2111.05891v1

    • [cs.RO]A soft thumb-sized vision-based sensor with accurate all-round force perception
    Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius
    http://arxiv.org/abs/2111.05934v1

    • [cs.RO]AlphaGarden: Learning to Autonomously Tend a Polyculture Garden
    Mark Presten, Yahav Avigal, Mark Theis, Satvik Sharma, Rishi Parikh, Shrey Aeron, Sandeep Mukherjee, Sebastian Oehme, Simeon Adebola, Walter Teitelbaum, Varun Kamat, Ken Goldberg
    http://arxiv.org/abs/2111.06014v1

    • [cs.RO]An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace
    Marta Lorenzini, Wansoo Kim, Arash Ajoudani
    http://arxiv.org/abs/2111.06323v1

    • [cs.RO]Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation
    Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong
    http://arxiv.org/abs/2111.06342v1

    • [cs.RO]Full-Body Visual Self-Modeling of Robot Morphologies
    Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, Hod Lipson
    http://arxiv.org/abs/2111.06389v1

    • [cs.RO]Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation
    Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie
    http://arxiv.org/abs/2111.06056v1

    • [cs.RO]Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft
    Pascal Schoppmann, Pedro F. Proença, Jeff Delaune, Michael Pantic, Timo Hinzmann, Larry Matthies, Roland Siegwart, Roland Brockers
    http://arxiv.org/abs/2111.06271v1

    • [cs.RO]Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions
    Chiao Hsieh, Keyur Joshi, Sasa Misailovic, Sayan Mitra
    http://arxiv.org/abs/2111.05534v1

    • [cs.RO]Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
    Yandong Liu, Chengzhong Xu, Hui Kong
    http://arxiv.org/abs/2111.06017v1

    • [cs.SD]Music Score Expansion with Variable-Length Infilling
    Chih-Pin Tan, Chin-Jui Chang, Alvin W. Y. Su, Yi-Hsuan Yang
    http://arxiv.org/abs/2111.06046v1

    • [cs.SD]Structure from Silence: Learning Scene Structure from Ambient Sound
    Ziyang Chen, Xixi Hu, Andrew Owens
    http://arxiv.org/abs/3
    abs/2111.05846v1
    abs/2111.05846v1)

    • [cs.SD]Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset
    Aly Moustafa, Salah A. Aly
    http://arxiv.org/abs/2111.06331v1

    • [cs.SD]Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
    Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao
    http://arxiv.org/abs/2111.06316v1

    • [cs.SE]Agile Information System Development Organizations Transforming to Large-Scale Collaboration
    Marius Mikalsen, Nils Brede Moe, Sut I Wong, Viktoria Stray
    http://arxiv.org/abs/2111.06193v1

    • [cs.SI]A study on Channel Popularity in Twitch
    Ha Le, Junming Wu, Louis Yu, Melissa Lynn
    http://arxiv.org/abs/2111.05939v1

    • [cs.SI]Applicability of Multilayer Diffusion Network Inference to Social Media Data
    Yan Xia, Ted Hsuan Yun Chen, Mikko Kivelä
    http://arxiv.org/abs/2111.06235v1

    • [cs.SI]Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies
    Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti
    http://arxiv.org/abs/2111.06371v1

    • [cs.SI]From words to connections: Word use similarity as an honest signal conducive to employees’ digital communication
    A. Fronzetti Colladon, J. Saint-Charles, P. Mongeau
    http://arxiv.org/abs/2111.06133v1

    • [eess.IV]Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training
    Engin Dikici, Xuan V. Nguyen, Matthew Bigelow, John. L. Ryu, Luciano M. Prevedello
    http://arxiv.org/abs/2111.05959v1

    • [eess.IV]CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction
    Soumendu Majee, Selin Aslan, Charles A. Bouman, Doga Gursoy
    http://arxiv.org/abs/2111.06069v1

    • [eess.IV]Related Work on Image Quality Assessment
    Dongxu Wang
    http://arxiv.org/abs/2111.06291v1

    • [eess.IV]Trustworthy Medical Segmentation with Uncertainty Estimation
    Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Rasool Ghulam, Hassan M. Fathallah-Shaykh
    http://arxiv.org/abs/2111.05978v1

    • [eess.SP]Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
    Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
    http://arxiv.org/abs/2111.06304v1

    • [eess.SP]User Activity Detection for Irregular Repetition Slotted Aloha based MMTC
    Chirag Ramesh Srivatsa, Chandra R. Murthy
    http://arxiv.org/abs/2111.06140v1

    • [eess.SY]Model-Based Reinforcement Learning for Stochastic Hybrid Systems
    Hany Abdulsamad, Jan Peters
    http://arxiv.org/abs/2111.06211v1

    • [eess.SY]On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
    Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone
    http://arxiv.org/abs/2111.06084v1

    • [math.CO]Rectangular, Range, and Restricted AONTs: Three Generalizations of All-or-Nothing Transforms
    Navid Nasr Esfahani, Douglas Stinson
    http://arxiv.org/abs/2111.05961v1

    • [math.OC]Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
    Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
    http://arxiv.org/abs/2111.06171v1

    • [math.ST]PDMP Monte Carlo methods for piecewise-smooth densities
    Augustin Chevallier, Sam Power, Andi Q. Wang, Paul Fearnhead
    http://arxiv.org/abs/2111.05859v1

    • [math.ST]Tight bounds for minimum l1-norm interpolation of noisy data
    Guillaume Wang, Konstantin Donhauser, Fanny Yang
    http://arxiv.org/abs/2111.05987v1

    • [physics.optics]Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Design
    Oliver Mey, Arash Rahimi-Iman
    http://arxiv.org/abs/2111.06272v1

    • [q-bio.QM]A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning
    Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper
    http://arxiv.org/abs/2111.05882v1

    • [q-fin.PM]A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
    Damian Kisiel, Denise Gorse
    http://arxiv.org/abs/2111.05935v1

    • [quant-ph]A Hierarchy for Replica Quantum Advantage
    Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
    http://arxiv.org/abs/2111.05874v1

    • [quant-ph]Exponential separations between learning with and without quantum memory
    Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
    http://arxiv.org/abs/2111.05881v1

    • [quant-ph]Quantum Information Dimension and Geometric Entropy
    Fabio Anza, James P. Crutchfield
    http://arxiv.org/abs/2111.06374v1

    • [quant-ph]Quantum Model-Discovery
    Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko, Vincent E. Elfving
    http://arxiv.org/abs/2111.06376v1

    • [quant-ph]Reliability Function of Quantum Information Decoupling
    Ke Li, Yongsheng Yao
    http://arxiv.org/abs/2111.06343v1

    • [stat.AP]Design of porthole aluminium extrusion dies through mathematical formulation
    Juan Llorca-Schenk, Irene Sentana-Gadea, Miguel Sanchez-Lozano
    http://arxiv.org/abs/2111.06370v1

    • [stat.AP]Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing
    Margarita Boyarskaya, Panos Ipeirotis
    http://arxiv.org/abs/2111.06390v1

    • [stat.AP]ORION-AE: Multisensor acoustic emission datasets reflecting supervised untightening of bolts in a jointed vibrating structure
    Benoit Verdin, Emmanuel Ramasso, Gael Chevallier
    http://arxiv.org/abs/2111.06322v1

    • [stat.AP]Pool samples to efficiently estimate pathogen prevalence dynamics
    Braden Scherting, Alison Peel, Raina Plowright, Andrew Hoegh
    http://arxiv.org/abs/2111.06249v1

    • [stat.AP]Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata
    B. K. M. Case, Jean-Gabriel Young, Daniel Penados, Laurent Hébert-Dufresne, Lori Stevens
    http://arxiv.org/abs/2111.05964v1

    • [stat.AP]The modeling of multiple animals that share behavioral features
    Gianluca Mastrantonio
    http://arxiv.org/abs/2111.05985v1

    • [stat.CO]Simulating High-Dimensional Multivariate Data using the bigsimr R Package
    A. Grant Schissler, Edward J. Bedrick, Alexander D. Knudson, Tomasz J. Kozubowski, Tin Nguyen, Juli Petereit, Walter W. Piegorsch, Duc Tran
    http://arxiv.org/abs/2111.06327v1

    • [stat.ME]Accurate confidence interval estimation for non-centrality parameters and effect size indices
    Kaidi Kang, Kristan Armstrong, Suzanne Avery, Maureen McHugo, Stephan Heckers, Simon Vandekar
    http://arxiv.org/abs/2111.05966v1

    • [stat.ME]Haar-Weave-Metropolis kernel
    Kengo Kamatani, Xiaolin Song
    http://arxiv.org/abs/2111.06148v1

    • [stat.ME]Integrating metabolic networks and growth biomarkers to unveil potential mechanisms of obesity
    Andrea Cremaschi, Maria De Iorio, Narasimhan Kothandaraman, Fabian Yap, Mya Tway Tint, Johan Eriksson
    http://arxiv.org/abs/2111.06212v1

    • [stat.ME]On Recovering the Best Rank-r Approximation from Few Entries
    Shun Xu, Ming Yuan
    http://arxiv.org/abs/2111.06302v1

    • [stat.ME]Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series
    Patric Bonnier, Harald Oberhauser
    http://arxiv.org/abs/2111.06314v1

    • [stat.ME]Robust Integrative Biclustering for Multi-view Data
    W. Zhang, C. Wendt, R. Bowler, C. P. Hersh, S. E. Safo
    http://arxiv.org/abs/2111.06209v1

    • [stat.ML]Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
    Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Zou
    http://arxiv.org/abs/2111.05898v1

    • [stat.ML]Kalman Filtering with Adversarial Corruptions
    Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
    http://arxiv.org/abs/2111.06395v1

    • [stat.ML]On the Equivalence between Neural Network and Support Vector Machine
    Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng
    http://arxiv.org/abs/2111.06063v1

    • [stat.ML]SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
    Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev
    http://arxiv.org/abs/2111.05986v1