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 -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 -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