cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
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.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.ST - 统计理论
physics.plasm-ph - 等离子体物理
physics.soc-ph - 物理学与社会
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
• [cond-mat.mtrl-sci]Microstructure reconstruction via artificial neural networks: A combination of causal and non-causal approach
• [cs.AI]Gradient-Based Mixed Planning with Discrete and Continuous Actions
• [cs.AI]Ideal Partition of Resources for Metareasoning
• [cs.AI]On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm
• [cs.AI]Towards Social Situation Awareness in Support Agents
• [cs.AI]Watch out for the risky actors: Assessing risk in dynamic environments for safe driving
• [cs.AI]What is Learned in Knowledge Graph Embeddings?
• [cs.CL]A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
• [cs.CL]A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
• [cs.CL]Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning
• [cs.CL]DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
• [cs.CL]Ensemble ALBERT on SQuAD 2.0
• [cs.CL]Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
• [cs.CL]Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data
• [cs.CL]Idiomatic Expression Identification using Semantic Compatibility
• [cs.CL]Importance Estimation from Multiple Perspectives for Keyphrase Extraction
• [cs.CL]Inter-Sense: An Investigation of Sensory Blending in Fiction
• [cs.CL]Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
• [cs.CL]Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters
• [cs.CL]Open-domain clarification question generation without question examples
• [cs.CL]ViraPart: A Text Refinement Framework for ASR and NLP Tasks in Persian
• [cs.CR]Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
• [cs.CV]A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation
• [cs.CV]Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
• [cs.CV]Aesthetic Photo Collage with Deep Reinforcement Learning
• [cs.CV]BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition
• [cs.CV]CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
• [cs.CV]DPFM: Deep Partial Functional Maps
• [cs.CV]Detecting Blurred Ground-based Sky/Cloud Images
• [cs.CV]Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
• [cs.CV]Dynamic Feature Alignment for Semi-supervised Domain Adaptation
• [cs.CV]Geo-DefakeHop: High-Performance Geographic Fake Image Detection
• [cs.CV]HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery
• [cs.CV]Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
• [cs.CV]Image Quality Assessment in the Modern Age
• [cs.CV]Improving Tail-Class Representation with Centroid Contrastive Learning
• [cs.CV]LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
• [cs.CV]Learning Not to Reconstruct Anomalies
• [cs.CV]Learning a self-supervised tone mapping operator via feature contrast masking loss
• [cs.CV]Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
• [cs.CV]Measuring Hidden Bias within Face Recognition via Racial Phenotypes
• [cs.CV]Memory-Augmented Deep Unfolding Network for Compressive Sensing
• [cs.CV]NeuralDiff: Segmenting 3D objects that move in egocentric videos
• [cs.CV]Self-Supervised Object Detection via Generative Image Synthesis
• [cs.CV]Spatial-Temporal Transformer for 3D Point Cloud Sequences
• [cs.CV]Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
• [cs.CV]Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
• [cs.CV]Talking Head Generation with Audio and Speech Related Facial Action Units
• [cs.CV]Towards Toxic and Narcotic Medication Detection with Rotated Object Detector
• [cs.CV]TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation
• [cs.CV]Unifying Multimodal Transformer for Bi-directional Image and Text Generation
• [cs.CY]Ride Sharing & Data Privacy: An Analysis of the State of Practice
• [cs.CY]Risks of AI Foundation Models in Education
• [cs.CY]Scalable Learning Environments for Teaching Cybersecurity Hands-on
• [cs.CY]The Impact of User Location on Cookie Notices (Inside and Outside of the European Union)
• [cs.DB]Using RDMA for Efficient Index Replication in LSM Key-Value Stores
• [cs.DC]A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
• [cs.DC]Boosting Graph Embedding on a Single GPU
• [cs.DC]Energy-based Accounting Model for Heterogeneous Supercomputers
• [cs.DC]Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center
• [cs.HC]Riemannian classification of EEG signals with missing values
• [cs.IR]Demographic Biases of Crowd Workers in Key Opinion Leaders Finding
• [cs.IR]EILEEN: A recommendation system for scientific publications and grants
• [cs.IR]Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
• [cs.IT]An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme
• [cs.IT]Cyclic and Quasi-Cyclic DNA Codes
• [cs.IT]Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
• [cs.LG]A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario
• [cs.LG]A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification
• [cs.LG]A survey on active noise control techniques — Part II: Nonlinear systems
• [cs.LG]A-Optimal Active Learning
• [cs.LG]AEFE: Automatic Embedded Feature Engineering for Categorical Features
• [cs.LG]Accelerated Graph Learning from Smooth Signals
• [cs.LG]Activation Landscapes as a Topological Summary of Neural Network Performance
• [cs.LG]AequeVox: Automated Fairness Testing of Speech Recognition Systems
• [cs.LG]BAMLD: Bayesian Active Meta-Learning by Disagreement
• [cs.LG]BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
• [cs.LG]Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic
• [cs.LG]Batched Lipschitz Bandits
• [cs.LG]Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
• [cs.LG]CGNN: Traffic Classification with Graph Neural Network
• [cs.LG]CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
• [cs.LG]Coalitional Bayesian Autoencoders — Towards explainable unsupervised deep learning
• [cs.LG]Continuous Control with Action Quantization from Demonstrations
• [cs.LG]Contrastive Active Inference
• [cs.LG]Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
• [cs.LG]Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
• [cs.LG]Eigenbehaviour as an Indicator of Cognitive Abilities
• [cs.LG]Explaining Deep Tractable Probabilistic Models: The sum-product network case
• [cs.LG]Extensive Deep Temporal Point Process
• [cs.LG]FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
• [cs.LG]FriendlyCore: Practical Differentially Private Aggregation
• [cs.LG]Further Generalizations of the Jaccard Index
• [cs.LG]Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
• [cs.LG]Inductive Biases and Variable Creation in Self-Attention Mechanisms
• [cs.LG]Label-Descriptive Patterns and their Application to Characterizing Classification Errors
• [cs.LG]Latent reweighting, an almost free improvement for GANs
• [cs.LG]Learning Representations that Support Robust Transfer of Predictors
• [cs.LG]Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
• [cs.LG]Minimal Multi-Layer Modifications of Deep Neural Networks
• [cs.LG]Multi-Objective Loss Balancing for Physics-Informed Deep Learning
• [cs.LG]Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm
• [cs.LG]Offline Reinforcement Learning with Value-based Episodic Memory
• [cs.LG]On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
• [cs.LG]On the Global Convergence of Momentum-based Policy Gradient
• [cs.LG]Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
• [cs.LG]Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
• [cs.LG]Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
• [cs.LG]Pre and Post Counting for Scalable Statistical-Relational Model Discovery
• [cs.LG]Private measurement of nonlinear correlations between data hosted across multiple parties
• [cs.LG]Random Feature Approximation for Online Nonlinear Graph Topology Identification
• [cs.LG]Relational Neural Markov Random Fields
• [cs.LG]Relational Neural Markov Random Fields
• [cs.LG]Robust Event Classification Using Imperfect Real-world PMU Data
• [cs.LG]State-based Episodic Memory for Multi-Agent Reinforcement Learning
• [cs.LG]Stateful Offline Contextual Policy Evaluation and Learning
• [cs.LG]TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks
• [cs.LG]Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
• [cs.LG]ToFFi — Toolbox for Frequency-based Fingerprinting of Brain Signals
• [cs.LG]Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant
• [cs.LG]Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution
• [cs.LG]Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
• [cs.LG]User-Centric Federated Learning
• [cs.LG]Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
• [cs.LO]Permutation Invariance of Deep Neural Networks with ReLUs
• [cs.RO]A Lightweight, High-Extension, Planar 3-Degree-of-Freedom Manipulator Using Pinched Bistable Tapes
• [cs.RO]A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation
• [cs.RO]Active Tapping via Gaussian Process for Efficient Unknown Object Surface Reconstruction
• [cs.RO]Improving GNSS Positioning using Neural Network-based Corrections
• [cs.RO]Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
• [cs.RO]Learning-based Fast Path Planning in Complex Environments
• [cs.RO]PI(t)D(t) Control and Motion Profiling for Omnidirectional Mobile Robots
• [cs.RO]Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing
• [cs.RO]Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator
• [cs.RO]Towards Optimal Correlational Object Search
• [cs.RO]Trajectory Prediction with Linguistic Representations
• [cs.RO]UAV Path Planning for Optimal Coverage of Areas with Nonuniform Importance
• [cs.SD]Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices
• [cs.SD]Continual self-training with bootstrapped remixing for speech enhancement
• [cs.SD]Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge
• [cs.SD]Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks
• [cs.SD]SSAST: Self-Supervised Audio Spectrogram Transformer
• [cs.SD]Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition
• [cs.SE]A Survey on Machine Learning Techniques for Source Code Analysis
• [cs.SI]Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory
• [cs.SI]Network Science Predicts Who Dies Next in Game of Thrones
• [cs.SI]POLE: Polarized Embedding for Signed Networks
• [cs.SI]Visualizing Collective Idea Generation and Innovation Processes in Social Networks
• [eess.AS]CycleFlow: Purify Information Factors by Cycle Loss
• [eess.AS]Personalized Speech Enhancement: New Models and Comprehensive Evaluation
• [eess.AS]Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
• [eess.IV]Bilateral-ViT for Robust Fovea Localization
• [eess.IV]Conditional De-Identification of 3D Magnetic Resonance Images
• [eess.IV]Cross-Vendor CT Image Data Harmonization Using CVH-CT
• [eess.IV]Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator
• [eess.IV]ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
• [eess.IV]Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism
• [eess.IV]Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
• [eess.IV]Stochastic Primal-Dual Deep Unrolling Networks for Imaging Inverse Problems
• [eess.SP]Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?
• [eess.SP]Coordinated Beamforming in Quantized Massive MIMO Systems with Per-Antenna Constraints
• [eess.SP]Data Driven Prediction of Battery Cycle Life Before Capacity Degradation
• [eess.SP]Data-driven and Automatic Surface Texture Analysis Using Persistent Homology
• [eess.SP]ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks
• [eess.SP]Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems
• [eess.SP]Model Order Estimation for A Sum of Complex Exponentials
• [eess.SP]Wideband and Entropy-Aware Deep Soft Bit Quantization
• [eess.SY]Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
• [eess.SY]Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty
• [eess.SY]System Norm Regularization Methods for Koopman Operator Approximation
• [math.OC]Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials
• [math.ST]Efficient and Consistent Data-Driven Model Selection for Time Series
• [math.ST]The -divergence and Loss Functions in ROC Curve
• [physics.plasm-ph]Identification of high order closure terms from fully kinetic simulations using machine learning
• [physics.soc-ph]Coordination and equilibrium selection in games: the role of local effects
• [stat.AP]A simple Bayesian state-space model for the collective risk model
• [stat.AP]Advanced Statistical Learning on Short Term Load Process Forecasting
• [stat.AP]Gradient boosting with extreme-value theory for wildfire prediction
• [stat.AP]Hierarchical Bayesian Modeling of Ocean Heat Content and its Uncertainty
• [stat.AP]Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails
• [stat.AP]Simulating the Power of Statistical Tests: A Collection of R Examples
• [stat.AP]The Two Cultures for Prevalence Mapping: Small Area Estimation and Spatial Statistics
• [stat.AP]The dynamic relationship of crude oil prices on macroeconomic variables in Ghana: a time series analysis approach
• [stat.CO]BNPdensity: Bayesian nonparametric mixture modeling in R
• [stat.ME]A General Modeling Framework for Network Autoregressive Processes
• [stat.ME]Bayes Factors can only Quantify Evidence w.r.t. Sets of Parameters, not w.r.t. (Prior) Distributions on the Parameter
• [stat.ME]Comparative Methods for the Analysis of Cluster Randomized Trials
• [stat.ME]Covariate Adjustment in Regression Discontinuity Designs
• [stat.ME]Fully Three-dimensional Radial Visualization
• [stat.ME]How to Guide Decisions with Bayes Factors
• [stat.ME]Hybrid variable monitoring: An unsupervised process monitoring framework
• [stat.ME]Practical Relevance: A Formal Definition
• [stat.ME]Robustly leveraging the post-randomization information to improve precision in the analyses of randomized clinical trials
• [stat.ME]Robustness against conflicting prior information in regression
• [stat.ME]Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
• [stat.ME]Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey
• [stat.ML]A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
• [stat.ML]Interpolating between sampling and variational inference with infinite stochastic mixtures
• [stat.ML]Learning Pareto-Efficient Decisions with Confidence
• [stat.ML]Learning to Learn Graph Topologies
• [stat.ML]Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
• [stat.ML]Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
• [stat.ML]On Clustering Categories of Categorical Predictors in Generalized Linear Models
• [stat.ML]abess: A Fast Best Subset Selection Library in Python and R
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• [cond-mat.mtrl-sci]Microstructure reconstruction via artificial neural networks: A combination of causal and non-causal approach
Kryštof Latka, Martin Doškář, Jan Zeman
http://arxiv.org/abs/2110.09815v1
• [cs.AI]Gradient-Based Mixed Planning with Discrete and Continuous Actions
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
http://arxiv.org/abs/2110.10007v1
• [cs.AI]Ideal Partition of Resources for Metareasoning
Eric Horvitz, John Breese
http://arxiv.org/abs/2110.09624v1
• [cs.AI]On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm
Marcel Gehrke
http://arxiv.org/abs/2110.09197v2
• [cs.AI]Towards Social Situation Awareness in Support Agents
Ilir Kola, Catholijn M. Jonker, M. Birna van Riemsdijk
http://arxiv.org/abs/2110.09829v1
• [cs.AI]Watch out for the risky actors: Assessing risk in dynamic environments for safe driving
Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer
http://arxiv.org/abs/2110.09998v1
• [cs.AI]What is Learned in Knowledge Graph Embeddings?
Michael R. Douglas, Michael Simkin, Omri Ben-Eliezer, Tianqi Wu, Peter Chin, Trung V. Dang, Andrew Wood
http://arxiv.org/abs/2110.09978v1
• [cs.CL]A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti
http://arxiv.org/abs/2110.09570v1
• [cs.CL]A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
Rongyi Sun, Borun Chen, Qingyu Zhou, Yinghui Li, YunBo Cao, Hai-Tao Zheng
http://arxiv.org/abs/2110.09702v1
• [cs.CL]Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning
Heng Yang, Biqing Zeng, Mayi Xu, Tianxing Wang
http://arxiv.org/abs/2110.08604v1
• [cs.CL]DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
Flávio Nakasato Cação, Marcos Menon José, André Seidel Oliveira, Stefano Spindola, Anna Helena Reali Costa, Fábio Gagliardi Cozman
http://arxiv.org/abs/2110.10015v1
• [cs.CL]Ensemble ALBERT on SQuAD 2.0
Shilun Li, Renee Li, Veronica Peng
http://arxiv.org/abs/2110.09665v1
• [cs.CL]Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao
http://arxiv.org/abs/2110.09915v1
• [cs.CL]Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data
Roxana Girju, David Peng
http://arxiv.org/abs/2110.09721v1
• [cs.CL]Idiomatic Expression Identification using Semantic Compatibility
Ziheng Zeng, Suma Bhat
http://arxiv.org/abs/2110.10064v1
• [cs.CL]Importance Estimation from Multiple Perspectives for Keyphrase Extraction
Mingyang Song, Liping Jing, Lin Xiao
http://arxiv.org/abs/2110.09749v1
• [cs.CL]Inter-Sense: An Investigation of Sensory Blending in Fiction
Roxana Girju, Charlotte Lambert
http://arxiv.org/abs/2110.09710v1
• [cs.CL]Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
HyoJung Han, Seokchan Ahn, Yoonjung Choi, Insoo Chung, Sangha Kim, Kyunghyun Cho
http://arxiv.org/abs/2110.09646v1
• [cs.CL]Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters
Asa Cooper Stickland, Alexandre Bérard, Vassilina Nikoulina
http://arxiv.org/abs/2110.09574v1
• [cs.CL]Open-domain clarification question generation without question examples
Julia White, Gabriel Poesia, Robert Hawkins, Dorsa Sadigh, Noah Goodman
http://arxiv.org/abs/2110.09779v1
• [cs.CL]ViraPart: A Text Refinement Framework for ASR and NLP Tasks in Persian
Narges Farokhshad, Milad Molazadeh, Saman Jamalabbasi, Hamed Babaei Giglou, Saeed Bibak
http://arxiv.org/abs/2110.09086v2
• [cs.CR]Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng, Peipei Jiang, Qian Wang, Qi Li, Chao Shen, Cong Wang, Yunjie Ge, Qingyang Teng, Shenyi Zhang
http://arxiv.org/abs/2110.09714v1
• [cs.CV]A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation
Yupan Huang, Bei Liu, Jianlong Fu, Yutong Lu
http://arxiv.org/abs/2110.09756v1
• [cs.CV]Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen
http://arxiv.org/abs/2110.09674v1
• [cs.CV]Aesthetic Photo Collage with Deep Reinforcement Learning
Mingrui Zhang, Mading Li, Li Chen, Jiahao Yu
http://arxiv.org/abs/2110.09775v1
• [cs.CV]BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition
Somnath Sendhil Kumara, Pratik Chattopadhyaya, Lipo Wang
http://arxiv.org/abs/2110.09564v1
• [cs.CV]CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian
http://arxiv.org/abs/2110.09788v1
• [cs.CV]DPFM: Deep Partial Functional Maps
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
http://arxiv.org/abs/2110.09994v1
• [cs.CV]Detecting Blurred Ground-based Sky/Cloud Images
Mayank Jain, Navya Jain, Yee Hui Lee, Stefan Winkler, Soumyabrata Dev
http://arxiv.org/abs/2110.09764v1
• [cs.CV]Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo
http://arxiv.org/abs/2110.10101v1
• [cs.CV]Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang, Gongbo Liang, Nathan Jacobs
http://arxiv.org/abs/2110.09641v1
• [cs.CV]Geo-DefakeHop: High-Performance Geographic Fake Image Detection
Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu, Suya You, C. -C. Jay Kuo
http://arxiv.org/abs/2110.09795v1
• [cs.CV]HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery
Hakki Motorcu, Hasan F. Ates, H. Fatih Ugurdag, Bahadir Gunturk
http://arxiv.org/abs/2110.09881v1
• [cs.CV]Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
A. S. Jameel Hassan, Suren Sritharan, Gihan Jayatilaka, Roshan I. Godaliyadda, Parakrama B. Ekanayake, Vijitha Herath, Janaka B. Ekanayake
http://arxiv.org/abs/2110.09571v1
• [cs.CV]Image Quality Assessment in the Modern Age
Kede Ma, Yuming Fang
http://arxiv.org/abs/2110.09699v1
• [cs.CV]Improving Tail-Class Representation with Centroid Contrastive Learning
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi
http://arxiv.org/abs/2110.10048v1
• [cs.CV]LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
Yuxi Li, Boshen Zhang, Jian Li, Yabiao Wang, Weiyao Lin, Chengjie Wang, Jilin Li, Feiyue Huang
http://arxiv.org/abs/2110.09819v1
• [cs.CV]Learning Not to Reconstruct Anomalies
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee
http://arxiv.org/abs/2110.09742v1
• [cs.CV]Learning a self-supervised tone mapping operator via feature contrast masking loss
Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano
http://arxiv.org/abs/2110.09866v1
• [cs.CV]Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas
http://arxiv.org/abs/2110.09734v1
• [cs.CV]Measuring Hidden Bias within Face Recognition via Racial Phenotypes
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
http://arxiv.org/abs/2110.09839v1
• [cs.CV]Memory-Augmented Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
http://arxiv.org/abs/2110.09766v1
• [cs.CV]NeuralDiff: Segmenting 3D objects that move in egocentric videos
Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
http://arxiv.org/abs/2110.09936v1
• [cs.CV]Self-Supervised Object Detection via Generative Image Synthesis
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
http://arxiv.org/abs/2110.09848v1
• [cs.CV]Spatial-Temporal Transformer for 3D Point Cloud Sequences
Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo
http://arxiv.org/abs/2110.09783v1
• [cs.CV]Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
http://arxiv.org/abs/2110.09772v1
• [cs.CV]Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
http://arxiv.org/abs/2110.09768v1
• [cs.CV]Talking Head Generation with Audio and Speech Related Facial Action Units
Sen Chen, Zhilei Liu, Jiaxing Liu, Zhengxiang Yan, Longbiao Wang
http://arxiv.org/abs/2110.09951v1
• [cs.CV]Towards Toxic and Narcotic Medication Detection with Rotated Object Detector
Jiao Peng, Feifan Wang, Zhongqiang Fu, Yiying Hu, Zichen Chen, Xinghan Zhou, Lijun Wang
http://arxiv.org/abs/2110.09777v1
• [cs.CV]TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation
Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, Xiaohui Xie
http://arxiv.org/abs/2110.09554v1
• [cs.CV]Unifying Multimodal Transformer for Bi-directional Image and Text Generation
Yupan Huang, Hongwei Xue, Bei Liu, Yutong Lu
http://arxiv.org/abs/2110.09753v1
• [cs.CY]Ride Sharing & Data Privacy: An Analysis of the State of Practice
Carsten Hesselmann, Jan Gertheiss, Jörg P. Müller
http://arxiv.org/abs/2110.09188v2
• [cs.CY]Risks of AI Foundation Models in Education
Su Lin Blodgett, Michael Madaio
http://arxiv.org/abs/2110.10024v1
• [cs.CY]Scalable Learning Environments for Teaching Cybersecurity Hands-on
Jan Vykopal, Pavel Čeleda, Pavel Seda, Valdemar Švábenský, Daniel Tovarňák
http://arxiv.org/abs/2110.10004v1
• [cs.CY]The Impact of User Location on Cookie Notices (Inside and Outside of the European Union)
Rob van Eijk, Hadi Asghari, Philipp Winter, Arvind Narayanan
http://arxiv.org/abs/2110.09832v1
• [cs.DB]Using RDMA for Efficient Index Replication in LSM Key-Value Stores
Michalis Vardoulakis, Giorgos Saloustros, Pilar González-Férez, Angelos Bilas
http://arxiv.org/abs/2110.09918v1
• [cs.DC]A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim, Kun Yuan
http://arxiv.org/abs/2110.09993v1
• [cs.DC]Boosting Graph Embedding on a Single GPU
Amro Alabsi Aljundi, Taha Atahan Akyıldız, Kamer Kaya
http://arxiv.org/abs/2110.10049v1
• [cs.DC]Energy-based Accounting Model for Heterogeneous Supercomputers
Cristian Di Pietrantonio, Christopher Harris, Maciej Cytowski
http://arxiv.org/abs/2110.09987v1
• [cs.DC]Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center
Wenhong Tian, Minxian Xu, Guangyao Zhou, Kui Wu, Chengzhong Xu, Rajkumar Buyya
http://arxiv.org/abs/2110.09913v1
• [cs.HC]Riemannian classification of EEG signals with missing values
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
http://arxiv.org/abs/2110.10011v1
• [cs.IR]Demographic Biases of Crowd Workers in Key Opinion Leaders Finding
Hossein A. Rahmani, Jie Yang
http://arxiv.org/abs/2110.09248v2
• [cs.IR]EILEEN: A recommendation system for scientific publications and grants
Daniel E. Acuna, Zijun Yi, Kartik Nagre, Priya Matnani
http://arxiv.org/abs/2110.09663v1
• [cs.IR]Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
http://arxiv.org/abs/2110.09905v1
• [cs.IT]An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme
Shufeng Li, Mingyu Cai, Libiao Jin, Yao Sun, Hongda Wu, Ping Wang
http://arxiv.org/abs/2110.09977v1
• [cs.IT]Cyclic and Quasi-Cyclic DNA Codes
Adel Alahmadi, Alaa Altassan, Amani Alyoubi, Manish K. Gupta, Hatoon Shoaib
http://arxiv.org/abs/2110.09789v1
• [cs.IT]Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
Esmaeil Karimi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson
http://arxiv.org/abs/2110.10110v1
• [cs.LG]A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario
Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho, João Morais
http://arxiv.org/abs/2110.08331v1
• [cs.LG]A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification
Linhai Ma, Liang Liang
http://arxiv.org/abs/2110.09759v1
• [cs.LG]A survey on active noise control techniques — Part II: Nonlinear systems
Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare, Zongsheng Zheng, Yi Yu, Xiaomin Yang, Badong Chen
http://arxiv.org/abs/2110.09672v1
• [cs.LG]A-Optimal Active Learning
Tue Boesen, Eldad Haber
http://arxiv.org/abs/2110.09585v1
• [cs.LG]AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong, Jie Yang, Yacong Ma, Shoubin Dong, Jinlong Hu
http://arxiv.org/abs/2110.09770v1
• [cs.LG]Accelerated Graph Learning from Smooth Signals
Seyed Saman Saboksayr, Gonzalo Mateos
http://arxiv.org/abs/2110.09677v1
• [cs.LG]Activation Landscapes as a Topological Summary of Neural Network Performance
Matthew Wheeler, Jose Bouza, Peter Bubenik
http://arxiv.org/abs/2110.10136v1
• [cs.LG]AequeVox: Automated Fairness Testing of Speech Recognition Systems
Sai Sathiesh Rajan, Sakshi Udeshi, Sudipta Chattopadhyay
http://arxiv.org/abs/2110.09843v1
• [cs.LG]BAMLD: Bayesian Active Meta-Learning by Disagreement
Ivana Nikoloska, Osvaldo Simeone
http://arxiv.org/abs/2110.09943v1
• [cs.LG]BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin Fan, Yue Wang, Yan Huo, Zhi Tian
http://arxiv.org/abs/2110.09660v1
• [cs.LG]Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic
Sicen Li, Gang Wang, Qinyun Tang, Liquan Wang
http://arxiv.org/abs/2110.09712v1
• [cs.LG]Batched Lipschitz Bandits
Yasong Feng, Zengfeng Huang, Tianyu Wang
http://arxiv.org/abs/2110.09722v1
• [cs.LG]Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
Yuhao Ding, Junzi Zhang, Javad Lavaei
http://arxiv.org/abs/2110.10117v1
• [cs.LG]CGNN: Traffic Classification with Graph Neural Network
Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia
http://arxiv.org/abs/2110.09726v1
• [cs.LG]CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta
http://arxiv.org/abs/2110.10067v1
• [cs.LG]Coalitional Bayesian Autoencoders — Towards explainable unsupervised deep learning
Bang Xiang Yong, Alexandra Brintrup
http://arxiv.org/abs/2110.10038v1
• [cs.LG]Continuous Control with Action Quantization from Demonstrations
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
http://arxiv.org/abs/2110.10149v1
• [cs.LG]Contrastive Active Inference
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
http://arxiv.org/abs/2110.10083v1
• [cs.LG]Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David Sharp, Payam Barnaghi
http://arxiv.org/abs/2110.09868v1
• [cs.LG]Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
Sarwan Ali, Yijing Zhou, Murray Patterson
http://arxiv.org/abs/2110.09606v1
• [cs.LG]Eigenbehaviour as an Indicator of Cognitive Abilities
Angela Botros, Narayan Schütz, Christina Röcke, Robert Weibel, Mike Martin, René Müri, Tobias Nef
http://arxiv.org/abs/2110.09525v1
• [cs.LG]Explaining Deep Tractable Probabilistic Models: The sum-product network case
Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan
http://arxiv.org/abs/2110.09778v1
• [cs.LG]Extensive Deep Temporal Point Process
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li
http://arxiv.org/abs/2110.09823v1
• [cs.LG]FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin, Ngai Edith
http://arxiv.org/abs/2110.09910v1
• [cs.LG]FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer
http://arxiv.org/abs/2110.10132v1
• [cs.LG]Further Generalizations of the Jaccard Index
Luciano da F. Costa
http://arxiv.org/abs/2110.09619v1
• [cs.LG]Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
Sebastian Buschjäger, Katharina Morik
http://arxiv.org/abs/2110.10075v1
• [cs.LG]Inductive Biases and Variable Creation in Self-Attention Mechanisms
Benjamin L. Edelman, Surbhi Goel, Sham Kakade, Cyril Zhang
http://arxiv.org/abs/2110.10090v1
• [cs.LG]Label-Descriptive Patterns and their Application to Characterizing Classification Errors
Michael Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
http://arxiv.org/abs/2110.09599v1
• [cs.LG]Latent reweighting, an almost free improvement for GANs
Thibaut Issenhuth, Ugo Tanielian, David Picard, Jeremie Mary
http://arxiv.org/abs/2110.09803v1
• [cs.LG]Learning Representations that Support Robust Transfer of Predictors
Yilun Xu, Tommi Jaakkola
http://arxiv.org/abs/2110.09940v1
• [cs.LG]Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
Chonghua Liao, Jiafan He, Quanquan Gu
http://arxiv.org/abs/2110.10133v1
• [cs.LG]Minimal Multi-Layer Modifications of Deep Neural Networks
Idan Refaeli, Guy Katz
http://arxiv.org/abs/2110.09929v1
• [cs.LG]Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof, Michael Kraus
http://arxiv.org/abs/2110.09813v1
• [cs.LG]Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm
Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar
http://arxiv.org/abs/2110.10017v1
• [cs.LG]Offline Reinforcement Learning with Value-based Episodic Memory
Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang
http://arxiv.org/abs/2110.09796v1
• [cs.LG]On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
http://arxiv.org/abs/2110.09771v1
• [cs.LG]On the Global Convergence of Momentum-based Policy Gradient
Yuhao Ding, Junzi Zhang, Javad Lavaei
http://arxiv.org/abs/2110.10116v1
• [cs.LG]Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi
http://arxiv.org/abs/2110.10031v1
• [cs.LG]Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Tolga Ergen, Mert Pilanci
http://arxiv.org/abs/2110.09548v1
• [cs.LG]Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu, Connor W. Coley
http://arxiv.org/abs/2110.09681v1
• [cs.LG]Pre and Post Counting for Scalable Statistical-Relational Model Discovery
Richard Mar, Oliver Schulte
http://arxiv.org/abs/2110.09767v1
• [cs.LG]Private measurement of nonlinear correlations between data hosted across multiple parties
Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar
http://arxiv.org/abs/2110.09670v1
• [cs.LG]Random Feature Approximation for Online Nonlinear Graph Topology Identification
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano
http://arxiv.org/abs/2110.09935v1
• [cs.LG]Relational Neural Markov Random Fields
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
http://arxiv.org/abs/2110.09647v1
• [cs.LG]Relational Neural Markov Random Fields
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
http://arxiv.org/abs/2110.09
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647v1
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647v1)
• [cs.LG]Robust Event Classification Using Imperfect Real-world PMU Data
Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang
http://arxiv.org/abs/2110.10128v1
• [cs.LG]State-based Episodic Memory for Multi-Agent Reinforcement Learning
Xiao Ma, Wu-Jun Li
http://arxiv.org/abs/2110.09817v1
• [cs.LG]Stateful Offline Contextual Policy Evaluation and Learning
Nathan Kallus, Angela Zhou
http://arxiv.org/abs/2110.10081v1
• [cs.LG]TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks
Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi
http://arxiv.org/abs/2110.10108v1
• [cs.LG]Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
Tae Jin Park, Kenichi Kumatani, Dimitrios Dimitriadis
http://arxiv.org/abs/2110.09695v1
• [cs.LG]ToFFi — Toolbox for Frequency-based Fingerprinting of Brain Signals
Michał K. Komorowski, Krzysztof Rykaczewski, Tomasz Piotrowski, Katarzyna Jurewicz, Jakub Wojciechowski, Anne Keitel, Joanna Dreszer, Włodzisław Duch
http://arxiv.org/abs/2110.09919v1
• [cs.LG]Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant
Wei Xiao, Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Mohamed AbdelHady
http://arxiv.org/abs/2110.09877v1
• [cs.LG]Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution
Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
http://arxiv.org/abs/2110.09902v1
• [cs.LG]Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
http://arxiv.org/abs/2110.09524v1
• [cs.LG]User-Centric Federated Learning
Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset
http://arxiv.org/abs/2110.09869v1
• [cs.LG]Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
http://arxiv.org/abs/2110.09947v1
• [cs.LO]Permutation Invariance of Deep Neural Networks with ReLUs
Diganta Mukhopadhyay, Kumar Madhukar, Mandayam Srivas
http://arxiv.org/abs/2110.09578v1
• [cs.RO]A Lightweight, High-Extension, Planar 3-Degree-of-Freedom Manipulator Using Pinched Bistable Tapes
Brian H. Do, O. Godson Osele, Allison M. Okamura
http://arxiv.org/abs/2110.09751v1
• [cs.RO]A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation
Wenpei Zhu, Chenghua Lu, Qule Zheng, Zhonggui Fang, Haichuan Che, Kailuan Tang, Mingchao Zhu, Sicong Liu, Zheng Wang
http://arxiv.org/abs/2110.10035v1
• [cs.RO]Active Tapping via Gaussian Process for Efficient Unknown Object Surface Reconstruction
Su Sun, Byung-Cheol Min
http://arxiv.org/abs/2110.09593v1
• [cs.RO]Improving GNSS Positioning using Neural Network-based Corrections
Ashwin V. Kanhere, Shubh Gupta, Akshay Shetty, Grace Gao
http://arxiv.org/abs/2110.09581v1
• [cs.RO]Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin
http://arxiv.org/abs/2110.09904v1
• [cs.RO]Learning-based Fast Path Planning in Complex Environments
Jianbang Liu, Baopu Li, Tingguang Li, Wenzheng Chi, Jiankun Wang, Max Q. -H. Meng
http://arxiv.org/abs/2110.10041v1
• [cs.RO]PI(t)D(t) Control and Motion Profiling for Omnidirectional Mobile Robots
Michael Zeng
http://arxiv.org/abs/2110.09707v1
• [cs.RO]Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing
Shohei Wakayama, Nisar Ahmed
http://arxiv.org/abs/2110.09621v1
• [cs.RO]Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator
Zach J. Patterson, Andrew P. Sabelhaus, Carmel Majidi
http://arxiv.org/abs/2110.10022v1
• [cs.RO]Towards Optimal Correlational Object Search
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex
http://arxiv.org/abs/2110.09991v1
• [cs.RO]Trajectory Prediction with Linguistic Representations
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
http://arxiv.org/abs/2110.09741v1
• [cs.RO]UAV Path Planning for Optimal Coverage of Areas with Nonuniform Importance
Gregory Snyder, Sachin Shriwastav, Dylan Morrison-Fogel, Zhuoyuan Song
http://arxiv.org/abs/2110.09745v1
• [cs.SD]Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices
Stanisław Kacprzak, Konrad Kowalczyk
http://arxiv.org/abs/2110.09598v1
• [cs.SD]Continual self-training with bootstrapped remixing for speech enhancement
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Anurag Kumar
http://arxiv.org/abs/2110.10103v1
• [cs.SD]Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge
Mutian He, Jingzhou Yang, Lei He, Frank K. Soong
http://arxiv.org/abs/2110.09698v1
• [cs.SD]Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks
Marco Comunità, Huy Phan, Joshua D. Reiss
http://arxiv.org/abs/2110.09605v1
• [cs.SD]SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong, Cheng-I Jeff Lai, Yu-An Chung, James Glass
http://arxiv.org/abs/2110.09784v1
• [cs.SD]Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition
Haozhe Chen, Weiming Zhang, Kunlin Liu, Kejiang Chen, Han Fang, Nenghai Yu
http://arxiv.org/abs/2110.09814v1
• [cs.SE]A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Federica Sarro
http://arxiv.org/abs/2110.09610v1
• [cs.SI]Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory
Thomas Gebhart, Xiaojun Fu, Russell Funk
http://arxiv.org/abs/2110.09637v1
• [cs.SI]Network Science Predicts Who Dies Next in Game of Thrones
Milan Janosov
http://arxiv.org/abs/2110.09856v1
• [cs.SI]POLE: Polarized Embedding for Signed Networks
Zexi Huang, Arlei Silva, Ambuj Singh
http://arxiv.org/abs/2110.09899v1
• [cs.SI]Visualizing Collective Idea Generation and Innovation Processes in Social Networks
Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama
http://arxiv.org/abs/2110.09893v1
• [eess.AS]CycleFlow: Purify Information Factors by Cycle Loss
Haoran Sun, Chen Chen, Lantian Li, Dong Wang
http://arxiv.org/abs/2110.09928v1
• [eess.AS]Personalized Speech Enhancement: New Models and Comprehensive Evaluation
Sefik Emre Eskimez, Takuya Yoshioka, Huaming Wang, Xiaofei Wang, Zhuo Chen, Xuedong Huang
http://arxiv.org/abs/2110.09625v1
• [eess.AS]Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
Yi-Chen Chen, Shu-wen Yang, Cheng-Kuang Lee, Simon See, Hung-yi Lee
http://arxiv.org/abs/2110.09930v1
• [eess.IV]Bilateral-ViT for Robust Fovea Localization
Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding
http://arxiv.org/abs/2110.09860v1
• [eess.IV]Conditional De-Identification of 3D Magnetic Resonance Images
Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
http://arxiv.org/abs/2110.09927v1
• [eess.IV]Cross-Vendor CT Image Data Harmonization Using CVH-CT
Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen
http://arxiv.org/abs/2110.09693v1
• [eess.IV]Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator
Vojtěch Kulvait, Georg Rose
http://arxiv.org/abs/2110.09841v1
• [eess.IV]ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
Anastasia Kirillova, Eugene Lyapustin, Anastasia Antsiferova, Dmitry Vatolin
http://arxiv.org/abs/2110.09992v1
• [eess.IV]Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism
Heng Fan, Jiaxiang Ren, Jie Yang, Yi-Xian Qin, Haibin Ling
http://arxiv.org/abs/2110.09662v1
• [eess.IV]Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Ge Zhang, Shaohui Mei, Mingyang Ma, Yan Feng
http://arxiv.org/abs/2110.09744v1
• [eess.IV]Stochastic Primal-Dual Deep Unrolling Networks for Imaging Inverse Problems
Junqi Tang
http://arxiv.org/abs/2110.10093v1
• [eess.SP]Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?
Anubhab Chowdhury, Ribhu Chopra, Chandra R. Murthy
http://arxiv.org/abs/2110.09968v1
• [eess.SP]Coordinated Beamforming in Quantized Massive MIMO Systems with Per-Antenna Constraints
Yunseong Cho, Jinseok Choi, Brian L. Evans
http://arxiv.org/abs/2110.09671v1
• [eess.SP]Data Driven Prediction of Battery Cycle Life Before Capacity Degradation
Anmol Singh, Caitlin Feltner, Jamie Peck, Kurt I. Kuhn
http://arxiv.org/abs/2110.09687v1
• [eess.SP]Data-driven and Automatic Surface Texture Analysis Using Persistent Homology
Melih C. Yesilli, Firas A. Khasawneh
http://arxiv.org/abs/2110.10005v1
• [eess.SP]ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Xingjun Ma, Alireza Tavakkoli
http://arxiv.org/abs/2110.09983v1
• [eess.SP]Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems
Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang
http://arxiv.org/abs/2110.09997v1
• [eess.SP]Model Order Estimation for A Sum of Complex Exponentials
Raymundo Albert, Cecilia G. Galarza
http://arxiv.org/abs/2110.09616v1
• [eess.SP]Wideband and Entropy-Aware Deep Soft Bit Quantization
Marius Arvinte, Jonathan I. Tamir
http://arxiv.org/abs/2110.09541v1
• [eess.SY]Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi
http://arxiv.org/abs/2110.08956v2
• [eess.SY]Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty
Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah
http://arxiv.org/abs/2110.09584v1
• [eess.SY]System Norm Regularization Methods for Koopman Operator Approximation
Steven Dahdah, James Richard Forbes
http://arxiv.org/abs/2110.09658v1
• [math.OC]Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials
Robin Francis, Sundeep Prabhakar Chepuri
http://arxiv.org/abs/2110.09738v1
• [math.ST]Efficient and Consistent Data-Driven Model Selection for Time Series
Jean-Marc Bardet, Kamila Kare, William Kengne
http://arxiv.org/abs/2110.09785v1
• [math.ST]The -divergence and Loss Functions in ROC Curve
Song Liu
http://arxiv.org/abs/2110.09651v1
• [physics.plasm-ph]Identification of high order closure terms from fully kinetic simulations using machine learning
Brecht Laperre, Jorge Amaya, Giovanni Lapenta
http://arxiv.org/abs/2110.09916v1
• [physics.soc-ph]Coordination and equilibrium selection in games: the role of local effects
Tomasz Raducha, Maxi San Miguel
http://arxiv.org/abs/2110.10036v1
• [stat.AP]A simple Bayesian state-space model for the collective risk model
Jae Youn Ahn, Himchan Jeong, Yang Lu
http://arxiv.org/abs/2110.09657v1
• [stat.AP]Advanced Statistical Learning on Short Term Load Process Forecasting
Junjie Hu, Brenda López Cabrera, Awdesch Melzer
http://arxiv.org/abs/2110.09920v1
• [stat.AP]Gradient boosting with extreme-value theory for wildfire prediction
Jonathan Koh
http://arxiv.org/abs/2110.09497v2
• [stat.AP]Hierarchical Bayesian Modeling of Ocean Heat Content and its Uncertainty
Samuel Baugh, Karen McKinnon
http://arxiv.org/abs/2110.09717v1
• [stat.AP]Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails
Mitchell Krock, Julie Bessac, Michael L. Stein, Adam H. Monahan
http://arxiv.org/abs/2110.10046v1
• [stat.AP]Simulating the Power of Statistical Tests: A Collection of R Examples
Florian Wickelmaier
http://arxiv.org/abs/2110.09836v1
• [stat.AP]The Two Cultures for Prevalence Mapping: Small Area Estimation and Spatial Statistics
Geir-Arne Fuglstad, Zehang Richard Li, Jon Wakefield
http://arxiv.org/abs/2110.09576v1
• [stat.AP]The dynamic relationship of crude oil prices on macroeconomic variables in Ghana: a time series analysis approach
Dennis Arku, Gabriel Kallah-Dagadu, Dzidzor Kwabla Klogo
http://arxiv.org/abs/2110.09850v1
• [stat.CO]BNPdensity: Bayesian nonparametric mixture modeling in R
Julyan Arbel, Guillaume Kon Kam King, Antonio Lijoi, Luis Enrique Nieto-Bajaras, Igor Prünster
http://arxiv.org/abs/2110.10019v1
• [stat.ME]A General Modeling Framework for Network Autoregressive Processes
Hang Yin, Abolfazl Safikhani, George Michailidis
http://arxiv.org/abs/2110.09596v1
• [stat.ME]Bayes Factors can only Quantify Evidence w.r.t. Sets of Parameters, not w.r.t. (Prior) Distributions on the Parameter
Patrick Schwaferts, Thomas Augustin
http://arxiv.org/abs/2110.09871v1
• [stat.ME]Comparative Methods for the Analysis of Cluster Randomized Trials
Alejandra Benitez, Maya L. Petersen, Mark J. van der Laan, Nicole Santos, Elizabeth Butrick, Dilys Walker, Rakesh Ghosh, Phelgona Otieno, Peter Waiswa, Laura B. Balzer
http://arxiv.org/abs/2110.09633v1
• [stat.ME]Covariate Adjustment in Regression Discontinuity Designs
Matias D. Cattaneo, Luke Keele, Rocio Titiunik
http://arxiv.org/abs/2110.08410v1
• [stat.ME]Fully Three-dimensional Radial Visualization
Yifan Zhu, Fan Dai, Ranjan Maitra
http://arxiv.org/abs/2110.09971v1
• [stat.ME]How to Guide Decisions with Bayes Factors
Patrick Schwaferts, Thomas Augustin
http://arxiv.org/abs/2110.09981v1
• [stat.ME]Hybrid variable monitoring: An unsupervised process monitoring framework
Min Wang, Donghua Zhou, Maoyin Chen
http://arxiv.org/abs/2110.09704v1
• [stat.ME]Practical Relevance: A Formal Definition
Patrick Schwaferts, Thomas Augustin
http://arxiv.org/abs/2110.09837v1
• [stat.ME]Robustly leveraging the post-randomization information to improve precision in the analyses of randomized clinical trials
Bingkai Wang, Yu Du
http://arxiv.org/abs/2110.09645v1
• [stat.ME]Robustness against conflicting prior information in regression
Philippe Gagnon
http://arxiv.org/abs/2110.09556v1
• [stat.ME]Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Liang Liang, Jue Hou, Hajime Uno, Kelly Cho, Yanyuan Ma, Tianxi Cai
http://arxiv.org/abs/2110.09612v1
• [stat.ME]Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/2110.09620v1
• [stat.ML]A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
http://arxiv.org/abs/2110.09626v1
• [stat.ML]Interpolating between sampling and variational inference with infinite stochastic mixtures
Richard D. Lange, Ari Benjamin, Ralf M. Haefner, Xaq Pitkow
http://arxiv.org/abs/2110.09618v1
• [stat.ML]Learning Pareto-Efficient Decisions with Confidence
Sofia Ek, Dave Zachariah, Petre Stoica
http://arxiv.org/abs/2110.09864v1
• [stat.ML]Learning to Learn Graph Topologies
Xingyue Pu, Tianyue Cao, Xiaoyun Zhang, Xiaowen Dong, Siheng Chen
http://arxiv.org/abs/2110.09807v1
• [stat.ML]Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Xiaoyu Wang, Wenrui Li, Yuetian Sun, Snezana Milanovic, Mark Kon, Julio Enrique Castrillon-Candas
http://arxiv.org/abs/2110.09680v1
• [stat.ML]Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast, Zheng Wang, Shandian Zhe
http://arxiv.org/abs/2110.10082v1
• [stat.ML]On Clustering Categories of Categorical Predictors in Generalized Linear Models
Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
http://arxiv.org/abs/2110.10059v1
• [stat.ML]abess: A Fast Best Subset Selection Library in Python and R
Jin Zhu, Liyuan Hu, Junhao Huang, Kangkang Jiang, Yanhang Zhang, Shiyun Lin, Junxian Zhu, Xueqin Wang
http://arxiv.org/abs/2110.09697v1
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