astro-ph.SR - 太阳和天体物理学恒星
cond-mat.soft - 软凝聚物质 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.OS - 操作系统 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.SR]Solar coronal magnetic field extrapolation from synchronic data with AI-generated farside
• [cond-mat.soft]Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
• [cs.AI]A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media
• [cs.AI]A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
• [cs.AI]Causal Inference in the Presence of Interference in Sponsored Search Advertising
• [cs.AI]Designing Emergency Response Pipelines : Lessons and Challenges
• [cs.AI]Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
• [cs.AI]GMH: A General Multi-hop Reasoning Model for KG Completion
• [cs.AI]Improving Neural Network Verification through Spurious Region Guided Refinement
• [cs.AI]Multi-Agent Trust Region Policy Optimization
• [cs.AI]On the Importance of Domain Model Configuration for Automated Planning Engines
• [cs.AI]Research on AI Composition Recognition Based on Music Rules
• [cs.AI]TDRE: A Tensor Decomposition Based Approach for Relation Extraction
• [cs.AI]Uncertainty Aware Wildfire Management
• [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
• [cs.CL]A new approach for extracting the conceptual schema of texts based on the linguistic Thematic Progression theory
• [cs.CL]Compressive Summarization with Plausibility and Salience Modeling
• [cs.CL]Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
• [cs.CL]Continual Learning for Neural Semantic Parsing
• [cs.CL]Decoding Methods for Neural Narrative Generation
• [cs.CL]DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
• [cs.CL]Diverse Keyphrase Generation with Neural Unlikelihood Training
• [cs.CL]Does Chinese BERT Encode Word Structure?
• [cs.CL]Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
• [cs.CL]From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli?
• [cs.CL]Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
• [cs.CL]Hierarchical Poset Decoding for Compositional Generalization in Language
• [cs.CL]Improving Constituency Parsing with Span Attention
• [cs.CL]Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
• [cs.CL]Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
• [cs.CL]Learning Better Representation for Tables by Self-Supervised Tasks
• [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
• [cs.CL]MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
• [cs.CL]Multi-Task Learning for Cross-Lingual Abstractive Summarization
• [cs.CL]NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
• [cs.CL]Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
• [cs.CL]Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
• [cs.CL]Neural Deepfake Detection with Factual Structure of Text
• [cs.CL]On Cross-Dataset Generalization in Automatic Detection of Online Abuse
• [cs.CL]Pretrained Language Models for Dialogue Generation with Multiple Input Sources
• [cs.CL]Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
• [cs.CL]RNNs can generate bounded hierarchical languages with optimal memory
• [cs.CL]Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
• [cs.CL]Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
• [cs.CL]Semantic Label Smoothing for Sequence to Sequence Problems
• [cs.CL]Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection
• [cs.CL]Six Attributes of Unhealthy Conversation
• [cs.CL]The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19
• [cs.CL]Tokenization Repair in the Presence of Spelling Errors
• [cs.CL]Understanding Neural Abstractive Summarization Models via Uncertainty
• [cs.CL]Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
• [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
• [cs.CL]Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
• [cs.CR]BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
• [cs.CR]EnCoD: Distinguishing Compressed and Encrypted File Fragments
• [cs.CR]Federated Learning in Adversarial Settings
• [cs.CR]Multi-factor authentication for users of non-internet based applications of blockchain-based platforms
• [cs.CR]Towards Cross-Blockchain Smart Contracts
• [cs.CV]A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
• [cs.CV]A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
• [cs.CV]A Human Eye-based Text Color Scheme Generation Method for Image Synthesis
• [cs.CV]AI-based BMI Inference from Facial Images: An Application to Weight Monitoring
• [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
• [cs.CV]An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
• [cs.CV]Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
• [cs.CV]Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
• [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
• [cs.CV]Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
• [cs.CV]CIMON: Towards High-quality Hash Codes
• [cs.CV]Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
• [cs.CV]Do End-to-end Stereo Algorithms Under-utilize Information?
• [cs.CV]Does Data Augmentation Benefit from Split BatchNorms
• [cs.CV]Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
• [cs.CV]FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
• [cs.CV]Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
• [cs.CV]HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
• [cs.CV]Improved Multi-Source Domain Adaptation by Preservation of Factors
• [cs.CV]Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
• [cs.CV]Interactive Latent Interpolation on MNIST Dataset
• [cs.CV]Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
• [cs.CV]LTN: Long-Term Network for Long-Term Motion Prediction
• [cs.CV]MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
• [cs.CV]Matching-space Stereo Networks for Cross-domain Generalization
• [cs.CV]NeRF++: Analyzing and Improving Neural Radiance Fields
• [cs.CV]Object Tracking Using Spatio-Temporal Future Prediction
• [cs.CV]Photovoltaic module segmentation and thermal analysis tool from thermal images
• [cs.CV]Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
• [cs.CV]Self-Supervised Domain Adaptation with Consistency Training
• [cs.CV]Self-training for Few-shot Transfer Across Extreme Task Differences
• [cs.CV]Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
• [cs.CV]Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
• [cs.CV]THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
• [cs.CV]Unsupervised Constrative Person Re-identification
• [cs.CV]Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
• [cs.CV]Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
• [cs.CV]Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features
• [cs.CY]Assessing the Readiness of Greece for Autonomous Vehicle Technologies
• [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
• [cs.CY]Enabling older citizens safe mobility. The ACTIVAGE approach
• [cs.CY]Enhancement of the e-Invoicing Systems by Increasing the Efficiency of Workflows via Disruptive Technologies
• [cs.CY]Kids Today: Remote Education in the time of COVID-19
• [cs.CY]My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
• [cs.CY]Overview of C-ITS Deployment Projects in Europe and USA
• [cs.CY]Towards a Flexible Framework for Algorithmic Fairness
• [cs.DB]Data Readiness Report
• [cs.DB]Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
• [cs.DC]A Tendermint Light Client
• [cs.DC]Mitigating Byzantine Attacks in Federated Learning
• [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
• [cs.DC]Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
• [cs.DC]Towards Self-Improving Hybrid Elasticity Control of Cloud-based Software Systems
• [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
• [cs.HC]Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
• [cs.IR]Hierarchical Text Interaction for Rating Prediction
• [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
• [cs.IT]Concentrated Stopping Set Design for Coded Merkle Tree: Improving Security Against Data Availability Attacks in Blockchain Systems
• [cs.IT]Joint Beamforming and Phase Shift Optimization for Multicell IRS-aided OFDMA-URLLC Systems
• [cs.IT]Matched Quantized Min-Sum Decoding of Low-Density Parity-Check Codes
• [cs.IT]Minimization of Age-of-Information in Remote Sensing with Energy Harvesting
• [cs.IT]Noise Recycling
• [cs.IT]Secret Sharing from Correlated Gaussian Random Variables and Public Communication
• [cs.IT]Window Processing of Binary Polarization Kernels
• [cs.LG]A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
• [cs.LG]A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
• [cs.LG]A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
• [cs.LG]AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
• [cs.LG]Adaptive Deep Forest for Online Learning from Drifting Data Streams
• [cs.LG]Adaptive and Universal Single-gradient Algorithms for Variational Inequalities
• [cs.LG]Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
• [cs.LG]An Alternative to Backpropagation in Deep Reinforcement Learning
• [cs.LG]Asynchronous ε-Greedy Bayesian Optimisation
• [cs.LG]Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
• [cs.LG]Avoiding Side Effects By Considering Future Tasks
• [cs.LG]Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
• [cs.LG]Bi-GCN: Binary Graph Convolutional Network
• [cs.LG]Bi-level Score Matching for Learning Energy-based Latent Variable Models
• [cs.LG]Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
• [cs.LG]Causal Multi-Level Fairness
• [cs.LG]Certifying Neural Network Robustness to Random Input Noise from Samples
• [cs.LG]Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
• [cs.LG]Decision trees as partitioning machines to characterize their generalization properties
• [cs.LG]Deep Conditional Transformation Models
• [cs.LG]Deep Generative Modeling in Network Science with Applications to Public Policy Research
• [cs.LG]Deep Learning of Koopman Representation for Control
• [cs.LG]Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
• [cs.LG]Depth-Width Trade-offs for Neural Networks via Topological Entropy
• [cs.LG]Direct Federated Neural Architecture Search
• [cs.LG]Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
• [cs.LG]Explainability for fair machine learning
• [cs.LG]FAR: A General Framework for Attributional Robustness
• [cs.LG]Fairness in Streaming Submodular Maximization: Algorithms and Hardness
• [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
• [cs.LG]Graph Deep Factors for Forecasting
• [cs.LG]Human-interpretable model explainability on high-dimensional data
• [cs.LG]Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
• [cs.LG]Interpreting Deep Learning Model Using Rule-based Method
• [cs.LG]Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles
• [cs.LG]Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
• [cs.LG]Local Differentially Private Regret Minimization in Reinforcement Learning
• [cs.LG]Marginal Contribution Feature Importance — an Axiomatic Approach for The Natural Case
• [cs.LG]Masked Contrastive Representation Learning for Reinforcement Learning
• [cs.LG]Maximum Moment Restriction for Instrumental Variable Regression
• [cs.LG]Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
• [cs.LG]Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
• [cs.LG]Multi-view Hierarchical Clustering
• [cs.LG]Neograd: gradient descent with an adaptive learning rate
• [cs.LG]On Convergence of Nearest Neighbor Classifiers over Feature Transformations
• [cs.LG]Online Learning with Vector Costs and Bandits with Knapsacks
• [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
• [cs.LG]R-GAP: Recursive Gradient Attack on Privacy
• [cs.LG]Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
• [cs.LG]Representation Learning via Invariant Causal Mechanisms
• [cs.LG]Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
• [cs.LG]RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
• [cs.LG]Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
• [cs.LG]Revisiting Projection-free Online Learning: the Strongly Convex Case
• [cs.LG]Selective Classification via One-Sided Prediction
• [cs.LG]Spherical Knowledge Distillation
• [cs.LG]Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
• [cs.LG]Temperature check: theory and practice for training models with softmax-cross-entropy losses
• [cs.LG]Theoretical Foundations of Hyperdimensional Computing
• [cs.LG]Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
• [cs.LG]Viewmaker Networks: Learning Views for Unsupervised Representation Learning
• [cs.LG]What you need to know to train recurrent neural networks to make Flip Flops memories and more
• [cs.MS]DSLib: An open source library for the dominant set clustering method
• [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
• [cs.NE]EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
• [cs.NE]GTOPX Space Mission Benchmarks
• [cs.OS]PIMOD: A Tool for Configuring Single-Board Computer Operating System Images
• [cs.PL]The LL(finite) strategy for optimal LL(k) parsing
• [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
• [cs.RO]A Reversible Dynamic Movement Primitive formulation
• [cs.RO]Adaptive tracking control for task-based robot trajectory planning
• [cs.RO]Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
• [cs.RO]Development and Validation of a Data Fusion Algorithm with Low-Cost Inertial Measurement Units to Analyze Shoulder Movements in Manual Workers
• [cs.RO]DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
• [cs.RO]Dynamic Walking: Toward Agile and Efficient Bipedal Robots
• [cs.RO]Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
• [cs.RO]Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices
• [cs.RO]Locomotion Design for an Internally Actuated Cubic Robot for Exploration of Low Gravity Bodies in the Solar System
• [cs.RO]Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning
• [cs.RO]Pick-Place With Uncertain Object Instance Segmentation and Shape Completion
• [cs.RO]Task-Adaptive Robot Learning from Demonstration under Replication with Gaussian Process Models
• [cs.RO]alurity, a toolbox for robot cybersecurity
• [cs.SD]A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation
• [cs.SD]Melody Classification based on Performance Event Vector and BRNN
• [cs.SE]Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
• [cs.SI]Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach
• [cs.SI]Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data
• [econ.EM]Comment: Individualized Treatment Rules Under Endogeneity
• [eess.IV]A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics’ Gramian Matrix
• [eess.IV]CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
• [eess.IV]Deep Learning in Ultrasound Elastography Imaging
• [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
• [eess.IV]Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
• [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
• [eess.IV]Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
• [eess.IV]LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
• [eess.IV]The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
• [eess.IV]XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
• [eess.SP]Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
• [eess.SP]Multiscale Optimal Filtering on the Sphere
• [eess.SP]Reconfigurable Intelligent Surface: Design the Channel — a New Opportunity for Future Wireless Networks
• [eess.SP]Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
• [eess.SY]Optimal Dispatch in Emergency Service System via Reinforcement Learning
• [math.DS]Balanced Colorings and Bifurcations in Rivalry and Opinion Networks
• [math.OC]An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
• [math.OC]Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes
• [math.PR]Moderate deviations for empirical measures for nonhomogeneous Markov chains
• [math.ST]Anomaly Detection for Bivariate Signals
• [math.ST]Approximation of BSDE with Hidden Forward Equation and Unknown Volatility
• [math.ST]Hidden Markov Model Where Higher Noise Makes Smaller Errors
• [math.ST]On Multi-step Estimation of Delay for SDE
• [math.ST]On Non Asymptotic Expansion of the MME in the Case of Poisson Observations
• [math.ST]Quadratic Variation Estimation of Hidden Markov Process and Related Problems
• [math.ST]Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability
• [physics.comp-ph]Towards Reflectivity profile inversion through Artificial Neural Networks
• [physics.soc-ph]Modelling COVID-19 transmission in supermarkets using an agent-based model
• [q-bio.MN]Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
• [q-bio.PE]Collective defense of honeybee colonies: experimental results and theoretical modeling
• [q-bio.QM]Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
• [quant-ph]Entropic proofs of Singleton bounds for quantum error-correcting codes
• [stat.AP]How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
• [stat.AP]On cointegration for modeling and forecasting wind power production
• [stat.AP]Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics
• [stat.ME]An Improved Online Penalty Parameter Selection Procedure for $\ell_1$-Penalized Autoregressive with Exogenous Variables
• [stat.ME]Detecting conflicting summary statistics in likelihood-free inference
• [stat.ME]Distributional Null Hypothesis Testing with the T distribution
• [stat.ME]Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
• [stat.ME]Robust weights that optimally balance confounders for estimating the effect of binary and continuous treatments with time-to-event data
• [stat.ME]Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
• [stat.ML]A Theory of Hyperbolic Prototype Learning
• [stat.ML]Double Robust Representation Learning for Counterfactual Prediction
• [stat.ML]Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
• [stat.ML]Magnetic Manifold Hamiltonian Monte Carlo
• [stat.ML]Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
• [stat.ML]Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
• [stat.ML]Statistical Inference for Online Decision Making via Stochastic Gradient Descent
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• [astro-ph.SR]Solar coronal magnetic field extrapolation from synchronic data with AI-generated farside
Hyunjin Jeong, Yong-Jae Moon, Eunsu Park, Harim Lee
http://arxiv.org/abs/2010.07553v1
• [cond-mat.soft]Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
Stephen Wu, Hironao Yamada, Yoshihiro Hayashi, Massimiliano Zamengo, Ryo Yoshida
http://arxiv.org/abs/2010.07683v1
• [cs.AI]A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media
Shakshi Sharma, Rajesh Sharma
http://arxiv.org/abs/2010.07647v1
• [cs.AI]A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
Fabrice Muhlenbach
http://arxiv.org/abs/2010.07610v1
• [cs.AI]Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kıcıman
http://arxiv.org/abs/2010.07458v1
• [cs.AI]Designing Emergency Response Pipelines : Lessons and Challenges
Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey
http://arxiv.org/abs/2010.07504v1
• [cs.AI]Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi, Ana Marasović, Tim Miller, Yoav Goldberg
http://arxiv.org/abs/2010.07487v1
• [cs.AI]GMH: A General Multi-hop Reasoning Model for KG Completion
Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Zhenglu Yang
http://arxiv.org/abs/2010.07620v1
• [cs.AI]Improving Neural Network Verification through Spurious Region Guided Refinement
Pengfei Yang, Renjue Li, Jianlin Li, Cheng-Chao Huang, Jingyi Wang, Jun Sun, Bai Xue, Lijun Zhang
http://arxiv.org/abs/2010.07722v1
• [cs.AI]Multi-Agent Trust Region Policy Optimization
Hepeng Li, Haibo He
http://arxiv.org/abs/2010.07916v1
• [cs.AI]On the Importance of Domain Model Configuration for Automated Planning Engines
Mauro Vallati, Lukas Chrpa, Thomas L. McCluskey, Frank Hutter
http://arxiv.org/abs/2010.07710v1
• [cs.AI]Research on AI Composition Recognition Based on Music Rules
Yang Deng, Ziyao Xu, Li Zhou, Huanping Liu, Anqi Huang
http://arxiv.org/abs/2010.07805v1
• [cs.AI]TDRE: A Tensor Decomposition Based Approach for Relation Extraction
Bin-Bin Zhao, Liang Li, Hui-Dong Zhang
http://arxiv.org/abs/2010.07533v1
• [cs.AI]Uncertainty Aware Wildfire Management
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer
http://arxiv.org/abs/2010.07915v1
• [cs.AR]Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen
http://arxiv.org/abs/2010.07185v2
• [cs.CL]A new approach for extracting the conceptual schema of texts based on the linguistic Thematic Progression theory
Elena del Olmo Suárez, Ana María Fernández-Pampillón Cesteros
http://arxiv.org/abs/2010.07440v1
• [cs.CL]Compressive Summarization with Plausibility and Salience Modeling
Shrey Desai, Jiacheng Xu, Greg Durrett
http://arxiv.org/abs/2010.07886v1
• [cs.CL]Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Zhengxuan Wu, Desmond C. Ong
http://arxiv.org/abs/2010.07523v1
• [cs.CL]Continual Learning for Neural Semantic Parsing
Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah
http://arxiv.org/abs/2010.07865v1
• [cs.CL]Decoding Methods for Neural Narrative Generation
Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc
http://arxiv.org/abs/2010.07375v1
• [cs.CL]DialogueTRM: Exploring the Intra- and Inter-Modal Emotional Behaviors in the Conversation
Yuzhao Mao, Qi Sun, Guang Liu, Xiaojie Wang, Weiguo Gao, Xuan Li, Jianping Shen
http://arxiv.org/abs/2010.07637v1
• [cs.CL]Diverse Keyphrase Generation with Neural Unlikelihood Training
Hareesh Bahuleyan, Layla El Asri
http://arxiv.org/abs/2010.07665v1
• [cs.CL]Does Chinese BERT Encode Word Structure?
Yile Wang, Leyang Cui, Yue Zhang
http://arxiv.org/abs/2010.07711v1
• [cs.CL]Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
http://arxiv.org/abs/2010.07835v1
• [cs.CL]From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli?
Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
http://arxiv.org/abs/2010.07435v1
• [cs.CL]Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
Simon Flachs, Ophélie Lacroix, Helen Yannakoudakis, Marek Rei, Anders Søgaard
http://arxiv.org/abs/2010.07574v1
• [cs.CL]Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
http://arxiv.org/abs/2010.07792v1
• [cs.CL]Improving Constituency Parsing with Span Attention
Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang
http://arxiv.org/abs/2010.07543v1
• [cs.CL]Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Ekta Sood, Simon Tannert, Philipp Mueller, Andreas Bulling
http://arxiv.org/abs/2010.07891v1
• [cs.CL]Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
Peng Cui, Le Hu, Yuanchao Liu
http://arxiv.org/abs/2010.07668v1
• [cs.CL]Learning Better Representation for Tables by Self-Supervised Tasks
Liang Li, Can Ma, Yinliang Yue, Linjun Shou, Dayong Hu
http://arxiv.org/abs/2010.07606v1
• [cs.CL]Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy
http://arxiv.org/abs/2010.07261v2
• [cs.CL]MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang
http://arxiv.org/abs/2010.07497v1
• [cs.CL]Multi-Task Learning for Cross-Lingual Abstractive Summarization
Sho Takase, Naoaki Okazaki
http://arxiv.org/abs/2010.07503v1
• [cs.CL]NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Shubhanker Banerjee, Arun Jayapal, Sajeetha Thavareesan
http://arxiv.org/abs/2010.07773v1
• [cs.CL]Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki
http://arxiv.org/abs/2010.07522v1
• [cs.CL]Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
http://arxiv.org/abs/2010.07526v1
• [cs.CL]Neural Deepfake Detection with Factual Structure of Text
Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin
http://arxiv.org/abs/2010.07475v1
• [cs.CL]On Cross-Dataset Generalization in Automatic Detection of Online Abuse
Isar Nejadgholi, Svetlana Kiritchenko
http://arxiv.org/abs/2010.07414v1
• [cs.CL]Pretrained Language Models for Dialogue Generation with Multiple Input Sources
Yu Cao, Wei Bi, Meng Fang, Dacheng Tao
http://arxiv.org/abs/2010.07576v1
• [cs.CL]Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
Prathyusha Jwalapuram, Shafiq Joty, Youlin Shen
http://arxiv.org/abs/2010.07638v1
• [cs.CL]RNNs can generate bounded hierarchical languages with optimal memory
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
http://arxiv.org/abs/2010.07515v1
• [cs.CL]Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao
http://arxiv.org/abs/2010.07676v1
• [cs.CL]Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
Weishi Wang, Shafiq Joty, Steven C. H. Hoi
http://arxiv.org/abs/2010.07785v1
• [cs.CL]Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, Sanjiv Kumar
http://arxiv.org/abs/2010.07447v1
• [cs.CL]Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection
Laura Oberländer, Roman Klinger
http://arxiv.org/abs/2010.07557v1
• [cs.CL]Six Attributes of Unhealthy Conversation
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
http://arxiv.org/abs/2010.07410v1
• [cs.CL]The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19
Hoang Van, Ahmad Musa, Mihai Surdeanu, Stephen Kobourov
http://arxiv.org/abs/2010.07466v1
• [cs.CL]Tokenization Repair in the Presence of Spelling Errors
Hannah Bast, Matthias Hertel, Mostafa M. Mohamed
http://arxiv.org/abs/2010.07878v1
• [cs.CL]Understanding Neural Abstractive Summarization Models via Uncertainty
Jiacheng Xu, Shrey Desai, Greg Durrett
http://arxiv.org/abs/2010.07882v1
• [cs.CL]Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith
http://arxiv.org/abs/2010.07761v1
• [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
http://arxiv.org/abs/2010.07717v1
• [cs.CL]Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
George Michalopoulos, Helen Chen, Alexander Wong
http://arxiv.org/abs/2010.07816v1
• [cs.CR]BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
Harsh Bimal Desai, Mustafa Safa Ozdayi, Murat Kantarcioglu
http://arxiv.org/abs/2010.07427v1
• [cs.CR]EnCoD: Distinguishing Compressed and Encrypted File Fragments
Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini
http://arxiv.org/abs/2010.07754v1
• [cs.CR]Federated Learning in Adversarial Settings
Raouf Kerkouche, Gergely Ács, Claude Castelluccia
http://arxiv.org/abs/2010.07808v1
• [cs.CR]Multi-factor authentication for users of non-internet based applications of blockchain-based platforms
Andrew Kinai, Fred Otieno, Nelson Bore, Komminist Weldemariam
http://arxiv.org/abs/2010.07818v1
• [cs.CR]Towards Cross-Blockchain Smart Contracts
Markus Nissl, Emanuel Sallinger, Stefan Schulte, Michael Borkowski
http://arxiv.org/abs/2010.07352v1
• [cs.CV]A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
Xin Jin, Xiqiao Li, Heng Huang, Xiaodong Li, Xinghui Zhou
http://arxiv.org/abs/2010.07661v1
• [cs.CV]A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin
http://arxiv.org/abs/2010.07849v1
• [cs.CV]A Human Eye-based Text Color Scheme Generation Method for Image Synthesis
Shao Wei Wang, Guan Jie Huang, Xiang Yu Luo
http://arxiv.org/abs/2010.07510v1
• [cs.CV]AI-based BMI Inference from Facial Images: An Application to Weight Monitoring
Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean
http://arxiv.org/abs/2010.07442v1
• [cs.CV]AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
Nanyu Li, Charles C. Zhou
http://arxiv.org/abs/2010.06907v2
• [cs.CV]An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
Mehdi Miah, Justine Pepin, Nicolas Saunier, Guillaume-Alexandre Bilodeau
http://arxiv.org/abs/2010.07881v1
• [cs.CV]Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
http://arxiv.org/abs/2010.07930v1
• [cs.CV]Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
Yunhai Han, Yuhan Liu, David Paz, Henrik Christensen
http://arxiv.org/abs/2010.07441v1
• [cs.CV]Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
Xinyu Yang, Majid Mirmehdi, Tilo Burghardt
http://arxiv.org/abs/2010.07217v2
• [cs.CV]Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
http://arxiv.org/abs/2010.07811v1
• [cs.CV]CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-sheng Hua
http://arxiv.org/abs/2010.07804v1
• [cs.CV]Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John Anderson
http://arxiv.org/abs/2010.07445v1
• [cs.CV]Do End-to-end Stereo Algorithms Under-utilize Information?
Changjiang Cai, Philippos Mordohai
http://arxiv.org/abs/2010.07350v1
• [cs.CV]Does Data Augmentation Benefit from Split BatchNorms
Amil Merchant, Barret Zoph, Ekin Dogus Cubuk
http://arxiv.org/abs/2010.07810v1
• [cs.CV]Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
Berta Bescos, Cesar Cadena, Jose Neira
http://arxiv.org/abs/2010.07646v1
• [cs.CV]FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
Masakazu Yoshimura, Satoshi Ogata
http://arxiv.org/abs/2010.07544v1
• [cs.CV]Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
http://arxiv.org/abs/2010.07788v1
• [cs.CV]HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
Pengcheng Yuan, Shufei Lin, Cheng Cui, Yuning Du, Ruoyu Guo, Ruoyu Guo, Errui Ding, Shumin Han
http://arxiv.org/abs/2010.07621v1
• [cs.CV]Improved Multi-Source Domain Adaptation by Preservation of Factors
Sebastian Schrom, Stephan Hasler, Jürgen Adamy
http://arxiv.org/abs/2010.07783v1
• [cs.CV]Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
Xiaofei Mao, Jiahao Cao, Dongfang Li, Xia Jia, Qingfang Zheng
http://arxiv.org/abs/2010.07675v1
• [cs.CV]Interactive Latent Interpolation on MNIST Dataset
Mazeyar Moeini Feizabadi, Ali Mohammed Shujjat, Sarah Shahid, Zainab Hasnain
http://arxiv.org/abs/2010.07581v1
• [cs.CV]Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning
Gustaf Halvardsson, Johanna Peterson, César Soto-Valero, Benoit Baudry
http://arxiv.org/abs/2010.07827v1
• [cs.CV]LTN: Long-Term Network for Long-Term Motion Prediction
YingQiao Wang
http://arxiv.org/abs/2010.07931v1
• [cs.CV]MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking
Patrick Dendorfer, Aljoša Ošep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé
http://arxiv.org/abs/2010.07548v1
• [cs.CV]Matching-space Stereo Networks for Cross-domain Generalization
Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai
http://arxiv.org/abs/2010.07347v1
• [cs.CV]NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun
http://arxiv.org/abs/2010.07492v1
• [cs.CV]Object Tracking Using Spatio-Temporal Future Prediction
Yuan Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui
http://arxiv.org/abs/2010.07605v1
• [cs.CV]Photovoltaic module segmentation and thermal analysis tool from thermal images
L. E. Montañez, L. M. Valentín-Coronado, D. Moctezuma, G. Flores
http://arxiv.org/abs/2010.07356v1
• [cs.CV]Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall
http://arxiv.org/abs/2010.07367v1
• [cs.CV]Self-Supervised Domain Adaptation with Consistency Training
L. Xiao, J. Xu, D. Zhao, Z. Wang, L. Wang, Y. Nie, B. Dai
http://arxiv.org/abs/2010.07539v1
• [cs.CV]Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan
http://arxiv.org/abs/2010.07734v1
• [cs.CV]Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre
http://arxiv.org/abs/2010.07830v1
• [cs.CV]Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Yinyu Nie, Yiqun Lin, Xiaoguang Han, Shihui Guo, Jian Chang, Shuguang Cui, Jian Jun Zhang
http://arxiv.org/abs/2010.07428v1
• [cs.CV]THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
http://arxiv.org/abs/2010.07614v1
• [cs.CV]Unsupervised Constrative Person Re-identification
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
http://arxiv.org/abs/2010.07608v1
• [cs.CV]Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
Alisha Sharma, Ryan Nett, Jonathan Ventura
http://arxiv.org/abs/2010.07704v1
• [cs.CV]Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection
Yuan Zhou, Xiangrui Li
http://arxiv.org/abs/2010.07469v1
• [cs.CV]Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features
MyeongAh Cho, Taeoh Kim, Sangyoun Lee
http://arxiv.org/abs/2010.07524v1
• [cs.CY]Assessing the Readiness of Greece for Autonomous Vehicle Technologies
Chrysostomos Mylonas, Charis Chalkiadakis, Alexandros Dolianitis, Dimitris Tzanis, Evangelos Mitsakis
http://arxiv.org/abs/2010.07297v1
• [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
Golshan Madraki, Isabella Grasso, Jacqueline Otala, Yu Liu, Jeanna Matthews
http://arxiv.org/abs/2010.06455v2
• [cs.CY]Enabling older citizens safe mobility. The ACTIVAGE approach
Charis Chalkiadakis, Dimitris Tzanis, Evangelos Mitsakis
http://arxiv.org/abs/2010.07298v1
• [cs.CY]Enhancement of the e-Invoicing Systems by Increasing the Efficiency of Workflows via Disruptive Technologies
Hiruni Gunaratne, Ingrid Pappel
http://arxiv.org/abs/2010.07636v1
• [cs.CY]Kids Today: Remote Education in the time of COVID-19
Adriana Mejia Castaño, Javier E Hernandez, Angie Mendez Llanos
http://arxiv.org/abs/2010.07295v1
• [cs.CY]My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N’godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein
http://arxiv.org/abs/2010.07292v1
• [cs.CY]Overview of C-ITS Deployment Projects in Europe and USA
Areti Kotsi, Evangelos Mitsakis, Dimitris Tzanis
http://arxiv.org/abs/2010.07299v1
• [cs.CY]Towards a Flexible Framework for Algorithmic Fairness
Philip Hacker, Emil Wiedemann, Meike Zehlike
http://arxiv.org/abs/2010.07848v1
• [cs.DB]Data Readiness Report
Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel
http://arxiv.org/abs/2010.07213v2
• [cs.DB]Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou
http://arxiv.org/abs/2010.07586v1
• [cs.DC]A Tendermint Light Client
Sean Braithwaite, Ethan Buchman, Ismail Khoffi, Igor Konnov, Zarko Milosevic, Romain Ruetschi, Josef Widder
http://arxiv.org/abs/2010.07031v2
• [cs.DC]Mitigating Byzantine Attacks in Federated Learning
Saurav Prakash, Amir Salman Avestimehr
http://arxiv.org/abs/2010.07541v1
• [cs.DC]Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime
Weile Wei, Arghya Chatterjee, Kevin Huck, Oscar Hernandez, Hartmut Kaiser
http://arxiv.org/abs/2010.07098v2
• [cs.DC]Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
Janardhan Kulkarni, Stefan Schmid, Paweł Schmidt
http://arxiv.org/abs/2010.07920v1
• [cs.DC]Towards Self-Improving Hybrid Elasticity Control of Cloud-based Software Systems
Mohan Baruwal Chhetri, Abdur Rahim Mohammad Forkan, Anton V. Uzunov, Surya Nepal
http://arxiv.org/abs/2010.07584v1
• [cs.FL]Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
Mingyu Cai, Shaoping Xiao, Baoluo Li, Zhiliang Li, Zhen Kan
http://arxiv.org/abs/2010.06797v2
• [cs.HC]Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
Benjamin Newman, Kevin Carlberg, Ruta Desai
http://arxiv.org/abs/2010.07358v1
• [cs.IR]Hierarchical Text Interaction for Rating Prediction
Jiahui Wen, Jingwei Ma, Hongkui Tu, Wei Yin, Jian Fang
http://arxiv.org/abs/2010.07628v1
• [cs.IT]Breaking the Unit Throughput Barrier in Distributed Systems
Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cedric Adijh
http://arxiv.org/abs/2010.07430v1
• [cs.IT]Concentrated Stopping Set Design for Coded Merkle Tree: Improving Security Against Data Availability Attacks in Blockchain Systems
Debarnab Mitra, Lev Tauz, Lara Dolecek
http://arxiv.org/abs/2010.07363v1
• [cs.IT]Joint Beamforming and Phase Shift Optimization for Multicell IRS-aided OFDMA-URLLC Systems
Walid R. Ghanem, Vahid Jamali, Robert Schober
http://arxiv.org/abs/2010.07698v1
• [cs.IT]Matched Quantized Min-Sum Decoding of Low-Density Parity-Check Codes
Emna Ben Yacoub
http://arxiv.org/abs/2010.07538v1
• [cs.IT]Minimization of Age-of-Information in Remote Sensing with Energy Harvesting
Akanksha Jaiswal, Arpan Chattopadhyay
http://arxiv.org/abs/2010.07626v1
• [cs.IT]Noise Recycling
Alejandro Cohen, Amit Solomon, Ken R. Duffy, Muriel Médard
http://arxiv.org/abs/2010.07791v1
• [cs.IT]Secret Sharing from Correlated Gaussian Random Variables and Public Communication
Vidhi Rana, Remi A. Chou, Hyuck Kwon
http://arxiv.org/abs/2010.07536v1
• [cs.IT]Window Processing of Binary Polarization Kernels
Grigorii Trofimiuk, Peter Trifonov
http://arxiv.org/abs/2010.07884v1
• [cs.LG]A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
http://arxiv.org/abs/2010.07611v1
• [cs.LG]A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements
Y. Yang, P. Xiao, B. Liao, N. Deligiannis
http://arxiv.org/abs/2010.07564v1
• [cs.LG]A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius, Scott Cameron, Elan van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
http://arxiv.org/abs/2010.07777v1
• [cs.LG]AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha Dvornek, Yifan Ding, Xenophon Papademetris, James S. Duncan
http://arxiv.org/abs/2010.07468v1
• [cs.LG]Adaptive Deep Forest for Online Learning from Drifting Data Streams
Łukasz Korycki, Bartosz Krawczyk
http://arxiv.org/abs/2010.07340v1
• [cs.LG]Adaptive and Universal Single-gradient Algorithms for Variational Inequalities
Alina Ene, Huy L. Nguyen
http://arxiv.org/abs/2010.07799v1
• [cs.LG]Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
http://arxiv.org/abs/2010.07650v1
• [cs.LG]An Alternative to Backpropagation in Deep Reinforcement Learning
Stephen Chung
http://arxiv.org/abs/2010.07893v1
• [cs.LG]Asynchronous ε-Greedy Bayesian Optimisation
George De Ath, Richard Eversonn Jonathan Fieldsend
http://arxiv.org/abs/2010.07615v1
• [cs.LG]Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen
http://arxiv.org/abs/2010.07474v1
• [cs.LG]Avoiding Side Effects By Considering Future Tasks
Victoria Krakovna, Laurent Orseau, Richard Ngo, Miljan Martic, Shane Legg
http://arxiv.org/abs/2010.07877v1
• [cs.LG]Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
Jun Fu, Wei Zhou, Zhibo Chen
http://arxiv.org/abs/2010.07498v1
• [cs.LG]Bi-GCN: Binary Graph Convolutional Network
Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo
http://arxiv.org/abs/2010.07565v1
• [cs.LG]Bi-level Score Matching for Learning Energy-based Latent Variable Models
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
http://arxiv.org/abs/2010.07856v1
• [cs.LG]Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
http://arxiv.org/abs/2010.07378v1
• [cs.LG]Causal Multi-Level Fairness
Vishwali Mhasawade, Rumi Chunara
http://arxiv.org/abs/2010.07343v1
• [cs.LG]Certifying Neural Network Robustness to Random Input Noise from Samples
Brendon G. Anderson, Somayeh Sojoudi
http://arxiv.org/abs/2010.07532v1
• [cs.LG]Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach
Ruiyuan Lin, Suya You, Raghuveer Rao, C. -C. Jay Kuo
http://arxiv.org/abs/2010.07871v1
• [cs.LG]Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
http://arxiv.org/abs/2010.07374v1
• [cs.LG]Deep Conditional Transformation Models
Philipp F. M. Baumann, Torsten Hothorn, David Rügamer
http://arxiv.org/abs/2010.07860v1
• [cs.LG]Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowski, C. Ben Gibson, Federico Girosi, David Kennedy, Osonde Osoba
http://arxiv.org/abs/2010.07870v1
• [cs.LG]Deep Learning of Koopman Representation for Control
Yiqiang Han, Wenjian Hao, Umesh Vaidya
http://arxiv.org/abs/2010.07546v1
• [cs.LG]Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
http://arxiv.org/abs/2010.07842v1
• [cs.LG]Depth-Width Trade-offs for Neural Networks via Topological Entropy
Kaifeng Bu, Yaobo Zhang, Qingxian Luo
http://arxiv.org/abs/2010.07587v1
• [cs.LG]Direct Federated Neural Architecture Search
Anubhav Garg, Amit Kumar Saha, Debo Dutta
http://arxiv.org/abs/2010.06223v2
• [cs.LG]Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang
http://arxiv.org/abs/2010.07359v1
• [cs.LG]Explainability for fair machine learning
Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
http://arxiv.org/abs/2010.07389v1
• [cs.LG]FAR: A General Framework for Attributional Robustness
Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
http://arxiv.org/abs/2010.07393v1
• [cs.LG]Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Marwa El Halabi, Slobodan Mitrović, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
http://arxiv.org/abs/2010.07431v1
• [cs.LG]FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
Moming Duan, Duo Liu, Xinyuan Ji, Renping Liu, Liang Liang, Xianzhang Chen, Yujuan Tan
http://arxiv.org/abs/2010.06870v2
• [cs.LG]Graph Deep Factors for Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
http://arxiv.org/abs/2010.07373v1
• [cs.LG]Human-interpretable model explainability on high-dimensional data
Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige
http://arxiv.org/abs/2010.07384v1
• [cs.LG]Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
Andrei V. Konstantinov, Lev V. Utkin
http://arxiv.org/abs/2010.07388v1
• [cs.LG]Interpreting Deep Learning Model Using Rule-based Method
Xiaojian Wang, Jingyuan Wang, Ke Tang
http://arxiv.org/abs/2010.07824v1
• [cs.LG]Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
http://arxiv.org/abs/2010.07382v1
• [cs.LG]Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
Matthew L. Leavitt, Ari Morcos
http://arxiv.org/abs/2010.07693v1
• [cs.LG]Local Differentially Private Regret Minimization in Reinforcement Learning
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
http://arxiv.org/abs/2010.07778v1
• [cs.LG]Marginal Contribution Feature Importance — an Axiomatic Approach for The Natural Case
Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
http://arxiv.org/abs/2010.07910v1
• [cs.LG]Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
http://arxiv.org/abs/2010.07470v1
• [cs.LG]Maximum Moment Restriction for Instrumental Variable Regression
Rui Zhang, Masaaki Imaizumi, Bernhard Schölkopf, Krikamol Muandet
http://arxiv.org/abs/2010.07684v1
• [cs.LG]Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
http://arxiv.org/abs/2010.07494v1
• [cs.LG]Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
http://arxiv.org/abs/2010.07459v1
• [cs.LG]Multi-view Hierarchical Clustering
Qinghai Zheng, Jihua Zhu, Shuangxun Ma
http://arxiv.org/abs/2010.07573v1
• [cs.LG]Neograd: gradient descent with an adaptive learning rate
Michael F. Zimmer
http://arxiv.org/abs/2010.07873v1
• [cs.LG]On Convergence of Nearest Neighbor Classifiers over Feature Transformations
Luka Rimanic, Cedric Renggli, Bo Li, Ce Zhang
http://arxiv.org/abs/2010.07765v1
• [cs.LG]Online Learning with Vector Costs and Bandits with Knapsacks
Thomas Kesselheim, Sahil Singla
http://arxiv.org/abs/2010.07346v1
• [cs.LG]Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
http://arxiv.org/abs/2010.07904v1
• [cs.LG]R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew Blaschko
http://arxiv.org/abs/2010.07733v1
• [cs.LG]Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
http://arxiv.org/abs/2010.07921v1
• [cs.LG]Representation Learning via Invariant Causal Mechanisms
Jovana Mitrovic, Brian McWilliams, Jacob Walker, Lars Buesing, Charles Blundell
http://arxiv.org/abs/2010.07922v1
• [cs.LG]Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
Ziqi Wang, Marco Loog, Jan van Gemert
http://arxiv.org/abs/2010.07591v1
• [cs.LG]RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
http://arxiv.org/abs/2010.07488v1
• [cs.LG]Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
Zhen Xiang, David J. Miller, George Kesidis
http://arxiv.org/abs/2010.07489v1
• [cs.LG]Revisiting Projection-free Online Learning: the Strongly Convex Case
Dan Garber, Ben Kretzu
http://arxiv.org/abs/2010.07572v1
• [cs.LG]Selective Classification via One-Sided Prediction
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
http://arxiv.org/abs/2010.07853v1
• [cs.LG]Spherical Knowledge Distillation
Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai
http://arxiv.org/abs/2010.07485v1
• [cs.LG]Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
Shibo Zhou, Xiaohua Li
http://arxiv.org/abs/2010.07803v1
• [cs.LG]Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala, Jeffrey Pennington, Yann Dauphin, Sam Schoenholz
http://arxiv.org/abs/2010.07344v1
• [cs.LG]Theoretical Foundations of Hyperdimensional Computing
Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing
http://arxiv.org/abs/2010.07426v1
• [cs.LG]Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein
http://arxiv.org/abs/2010.07334v1
• [cs.LG]Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin, Mike Wu, Noah Goodman
http://arxiv.org/abs/2010.07432v1
• [cs.LG]What you need to know to train recurrent neural networks to make Flip Flops memories and more
Cecilia Jarne
http://arxiv.org/abs/2010.07858v1
• [cs.MS]DSLib: An open source library for the dominant set clustering method
Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino, Marcello Pelillo
http://arxiv.org/abs/2010.07906v1
• [cs.NE]Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos
http://arxiv.org/abs/2010.06209v3
• [cs.NE]EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier
http://arxiv.org/abs/2010.07859v1
• [cs.NE]GTOPX Space Mission Benchmarks
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
http://arxiv.org/abs/2010.07517v1
• [cs.OS]PIMOD: A Tool for Configuring Single-Board Computer Operating System Images
Jonas Höchst, Alvar Penning, Patrick Lampe, Bernd Freisleben
http://arxiv.org/abs/2010.07833v1
• [cs.PL]The LL(finite) strategy for optimal LL(k) parsing
Peter Belcak
http://arxiv.org/abs/2010.07874v1
• [cs.RO]A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Jonas Mårtensson, Bo Wahlberg
http://arxiv.org/abs/2010.07133v2
• [cs.RO]A Reversible Dynamic Movement Primitive formulation
Antonis Sidiropoulos, Zoe Doulgeri
http://arxiv.org/abs/2010.07708v1
• [cs.RO]Adaptive tracking control for task-based robot trajectory planning
Luis Trucios, Mahdi Tavakoli, Kim Adams
http://arxiv.org/abs/2010.07406v1
• [cs.RO]Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
Zhefan Xu, Di Deng, Kenji Shimada
http://arxiv.org/abs/2010.07429v1
• [cs.RO]Development and Validation of a Data Fusion Algorithm with Low-Cost Inertial Measurement Units to Analyze Shoulder Movements in Manual Workers
Marianne Boyer, Antoine Frasie, Laurent Bouyer, Jean-Sébastien Roy, Isabelle Poitras, Alexandre Campeau-Lecours
http://arxiv.org/abs/2010.07450v1
• [cs.RO]DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
Berta Bescos, Carlos Campos, Juan D. Tardós, José Neira
http://arxiv.org/abs/2010.07820v1
• [cs.RO]Dynamic Walking: Toward Agile and Efficient Bipedal Robots
Jenna Reher, Aaron D. Ames
http://arxiv.org/abs/2010.07451v1
• [cs.RO]Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
Huixin Zhan, Feng Tao, Yongcan Cao
http://arxiv.org/abs/2010.07467v1
• [cs.RO]Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices
Frédéric Schweitzer, Alexandre Campeau-Lecours
http://arxiv.org/abs/2010.07449v1
• [cs.RO]Locomotion Design for an Internally Actuated Cubic Robot for Exploration of Low Gravity Bodies in the Solar System
Alvaro Bátrez, Gustavo Rodriguez-Gomez, Angélica Muñoz-Meléndez
http://arxiv.org/abs/2010.07476v1
• [cs.RO]Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning
Nils Funk, Juan Tarrio, Sotiris Papatheodorou, Marija Popovic, Pablo F. Alcantarilla, Stefan Leutenegger
http://arxiv.org/abs/2010.07929v1
• [cs.RO]Pick-Place With Uncertain Object Instance Segmentation and Shape Completion
Marcus Gualtieri, Robert Platt
http://arxiv.org/abs/2010.07892v1
• [cs.RO]Task-Adaptive Robot Learning from Demonstration under Replication with Gaussian Process Models
Miguel Arduengo, Adrià Colomé, Júlia Borràs, Luis Sentis, Carme Torras
http://arxiv.org/abs/2010.07795v1
• [cs.RO]alurity, a toolbox for robot cybersecurity
Víctor Mayoral-Vilches, Irati Abad-Fernández, Martin Pinzger, Stefan Rass, Bernhard Dieber, Alcino Cunha, Francisco J. Rodríguez-Lera, Giovanni Lacava, Angelica Marotta, Fabio Martinelli, Endika Gil-Uriarte
http://arxiv.org/abs/2010.07759v1
• [cs.SD]A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation
Mingshuo Ding, Yinghao Ma
http://arxiv.org/abs/2010.07758v1
• [cs.SD]Melody Classification based on Performance Event Vector and BRNN
Jinyue Guo, Aozhi Liu, Jing Xiao
http://arxiv.org/abs/2010.07562v1
• [cs.SE]Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao
http://arxiv.org/abs/2010.07514v1
• [cs.SI]Detecting Automatically Managed Accounts in Online Social Networks: Graph Embedding Approach
Ilia Karpov, Ekaterina Glazkova
http://arxiv.org/abs/2010.07923v1
• [cs.SI]Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data
Xupin Zhang, Hanjia Lyu, Jiebo Luo
http://arxiv.org/abs/2010.07845v1
• [econ.EM]Comment: Individualized Treatment Rules Under Endogeneity
Sukjin, Han
http://arxiv.org/abs/2010.07656v1
• [eess.IV]A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics’ Gramian Matrix
Kelum Gajamannage, Randy Paffenroth, Anura P. Jayasumana
http://arxiv.org/abs/2010.07769v1
• [eess.IV]CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F Frang, Masahiro Akiba, Jiang Liu
http://arxiv.org/abs/2010.07486v1
• [eess.IV]Deep Learning in Ultrasound Elastography Imaging
Hongliang Li, Manish Bhatt, Zhen Qu, Shiming Zhang, Martin C. Hartel, Ali Khademhosseini, Guy Cloutier
http://arxiv.org/abs/2010.07360v1
• [eess.IV]Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein
http://arxiv.org/abs/2010.06824v2
• [eess.IV]Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
Evgenii Sovetkin, Elbert Jan Achterberg, Thomas Weber, Bart E. Pieters
http://arxiv.org/abs/2010.07556v1
• [eess.IV]Fader Networks for domain adaptation on fMRI: ABIDE-II study
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
http://arxiv.org/abs/2010.07233v1
• [eess.IV]Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
http://arxiv.org/abs/2010.07411v1
• [eess.IV]LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
Benlei Cui, XueMei Dong, Qiaoqiao Zhan, Jiangtao Peng, Weiwei Sun
http://arxiv.org/abs/2010.07726v1
• [eess.IV]The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention
Ewa Nowara, Daniel McDuff, Ashok Veeraraghavan
http://arxiv.org/abs/2010.07770v1
• [eess.IV]XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
http://arxiv.org/abs/2010.07290v1
• [eess.SP]Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
Maximilian P Oppelt, Maximilian Riehl, Felix P Kemeth, Jan Steffan
http://arxiv.org/abs/2010.07639v1
• [eess.SP]Multiscale Optimal Filtering on the Sphere
Adeem Aslam, Zubair Khalid, Jason D. McEwen
http://arxiv.org/abs/2010.07809v1
• [eess.SP]Reconfigurable Intelligent Surface: Design the Channel — a New Opportunity for Future Wireless Networks
Miguel Dajer, Zhengxiang Ma, Leonard Piazzi, Narayan Prasad, Xiao-Feng Qi, Baoling Sheen, Jin Yang, Guosen Yue
http://arxiv.org/abs/2010.07408v1
• [eess.SP]Vehicular Networks for Combating a Worldwide Pandemic: Preventing the Spread of COVID-19
Ahmet M. Elbir, Gokhan Gurbilek, Burak Soner, Sinem Coleri
http://arxiv.org/abs/2010.07602v1
• [eess.SY]Optimal Dispatch in Emergency Service System via Reinforcement Learning
Cheng Hua, Tauhid Zaman
http://arxiv.org/abs/2010.07513v1
• [math.DS]Balanced Colorings and Bifurcations in Rivalry and Opinion Networks
Ian Stewart
http://arxiv.org/abs/2010.07716v1
• [math.OC]An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
http://arxiv.org/abs/2010.07531v1
• [math.OC]Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes
Ali Devran Kara, Serdar Yuksel
http://arxiv.org/abs/2010.07452v1
• [math.PR]Moderate deviations for empirical measures for nonhomogeneous Markov chains
Mingzhou Xu, Kun Cheng
http://arxiv.org/abs/2010.07501v1
• [math.ST]Anomaly Detection for Bivariate Signals
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
http://arxiv.org/abs/2010.07420v1
• [math.ST]Approximation of BSDE with Hidden Forward Equation and Unknown Volatility
Oleg V. Chernoyarov, Yury A. Kutoyants
http://arxiv.org/abs/2010.07618v1
• [math.ST]Hidden Markov Model Where Higher Noise Makes Smaller Errors
Yury A. Kutoyants
http://arxiv.org/abs/2010.07596v1
• [math.ST]On Multi-step Estimation of Delay for SDE
Yury A. Kutoyants
http://arxiv.org/abs/2010.07624v1
• [math.ST]On Non Asymptotic Expansion of the MME in the Case of Poisson Observations
O. V. Chernoyarov, A. S. Dabye, F. N. Diop, Yu. A. Kutoyants
http://arxiv.org/abs/2010.07612v1
• [math.ST]Quadratic Variation Estimation of Hidden Markov Process and Related Problems
Yury A. Kutoyants
http://arxiv.org/abs/2010.07603v1
• [math.ST]Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability
Tobias Fritz, Tomáš Gonda, Paolo Perrone, Eigil Fjeldgren Rischel
http://arxiv.org/abs/2010.07416v1
• [physics.comp-ph]Towards Reflectivity profile inversion through Artificial Neural Networks
Juan Manuel Carmona-Loaiza
http://arxiv.org/abs/2010.07634v1
• [physics.soc-ph]Modelling COVID-19 transmission in supermarkets using an agent-based model
Fabian Ying, Neave O’Clery
http://arxiv.org/abs/2010.07868v1
• [q-bio.MN]Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
Adriaan-Alexander Ludl, Tom Michoel
http://arxiv.org/abs/2010.07417v1
• [q-bio.PE]Collective defense of honeybee colonies: experimental results and theoretical modeling
Andrea López-Incera, Morgane Nouvian, Katja Ried, Thomas Müller, Hans J. Briegel
http://arxiv.org/abs/2010.07326v1
• [q-bio.QM]Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
Axel Wismüller, Larry Stockmaster
http://arxiv.org/abs/2010.07437v1
• [quant-ph]Entropic proofs of Singleton bounds for quantum error-correcting codes
Markus Grassl, Felix Huber, Andreas Winter
http://arxiv.org/abs/2010.07902v1
• [stat.AP]How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
Adam Peterson, Veronica Berrocal, Emma Sanchez-Vaznaugh, Brisa Sanchez
http://arxiv.org/abs/2010.07348v1
• [stat.AP]On cointegration for modeling and forecasting wind power production
Florian Ziel, Antonia Arsova
http://arxiv.org/abs/2010.07857v1
• [stat.AP]Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics
Valentin Sulzer, Peyman Mohtat, Suhak Lee, Jason B. Siegel, Anna G. Stefanopoulou
http://arxiv.org/abs/2010.07460v1
• [stat.ME]An Improved Online Penalty Parameter Selection Procedure for $\ell_1$-Penalized Autoregressive with Exogenous Variables
William B. Nicholson, Xiaohan Yan
http://arxiv.org/abs/2010.07594v1
• [stat.ME]Detecting conflicting summary statistics in likelihood-free inference
Yinan Mao, Xueou Wang, David J. Nott, Michael Evans
http://arxiv.org/abs/2010.07465v1
• [stat.ME]Distributional Null Hypothesis Testing with the T distribution
Fintan Costello, Paul Watts
http://arxiv.org/abs/2010.07813v1
• [stat.ME]Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
Wookyeong Song, Hee-Seok Oh, Yaeji Lim, Ying Kuen Cheung
http://arxiv.org/abs/2010.07462v1
• [stat.ME]Robust weights that optimally balance confounders for estimating the effect of binary and continuous treatments with time-to-event data
Michele Santacatterina
http://arxiv.org/abs/2010.07695v1
• [stat.ME]Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
Dongjun Kim, Kyungwoo Song, YoonYeong Kim, Yongjin Shin, Il-Chul Moon
http://arxiv.org/abs/2010.07604v1
• [stat.ML]A Theory of Hyperbolic Prototype Learning
Martin Keller-Ressel
http://arxiv.org/abs/2010.07744v1
• [stat.ML]Double Robust Representation Learning for Counterfactual Prediction
Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
http://arxiv.org/abs/2010.07866v1
• [stat.ML]Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek
http://arxiv.org/abs/2010.07355v1
• [stat.ML]Magnetic Manifold Hamiltonian Monte Carlo
James A. Brofos, Roy R. Lederman
http://arxiv.org/abs/2010.07753v1
• [stat.ML]Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen, Nicolas Thome
http://arxiv.org/abs/2010.07349v1
• [stat.ML]Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
http://arxiv.org/abs/2010.07422v1
• [stat.ML]Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Haoyu Chen, Wenbin Lu, Rui Song
http://arxiv.org/abs/2010.07341v1