astro-ph.IM - 仪器仪表和天体物理学方法
astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 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 math.FA - 泛函演算 math.NT - 数论 math.OA - 算子代数 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.CP -计算金融学 q-fin.ST - 统计金融学 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.IM]Identifying microlensing events using neural networks
• [astro-ph.SR]Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
• [cs.AI]A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach
• [cs.AI]A principled analysis of Behavior Trees and their generalisations
• [cs.AI]Analysis of English free association network reveals mechanisms of efficient solution of the Remote Association Tests
• [cs.AI]Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
• [cs.AI]Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
• [cs.AI]Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
• [cs.AI]Reputation-driven Decision-making in Networks of Stochastic Agents
• [cs.AI]The Advantage Regret-Matching Actor-Critic
• [cs.CC]Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
• [cs.CL]A Survey of Evaluation Metrics Used for NLG Systems
• [cs.CL]AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
• [cs.CL]Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check
• [cs.CL]Automatic Speech Summarisation: A Scoping Review
• [cs.CL]Entity and Evidence Guided Relation Extraction for DocRED
• [cs.CL]GREEK-BERT: The Greeks visiting Sesame Street
• [cs.CL]Improvement of a dedicated model for open domain persona-aware dialogue generation
• [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection
• [cs.CL]On the Optimality of Vagueness: “Around”, “Between”, and the Gricean Maxims
• [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
• [cs.CL]Query Focused Multi-document Summarisation of Biomedical Texts
• [cs.CL]Relation/Entity-Centric Reading Comprehension
• [cs.CL]SHAP values for Explaining CNN-based Text Classification Models
• [cs.CL]Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
• [cs.CR]Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
• [cs.CR]Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
• [cs.CV]A Flexible Selection Scheme for Minimum-Effort Transfer Learning
• [cs.CV]A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
• [cs.CV]Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
• [cs.CV]Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
• [cs.CV]Attribute-guided image generation from layout
• [cs.CV]CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image
• [cs.CV]Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
• [cs.CV]Compensation Tracker: Data Association Method for Lost Object
• [cs.CV]Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
• [cs.CV]DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
• [cs.CV]Deep Learning for 2D grapevine bud detection
• [cs.CV]Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
• [cs.CV]DeepFake Detection Based on the Discrepancy Between the Face and its Context
• [cs.CV]Domain Adaptation Through Task Distillation
• [cs.CV]Edge and Identity Preserving Network for Face Super-Resolution
• [cs.CV]Expressive Telepresence via Modular Codec Avatars
• [cs.CV]Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
• [cs.CV]How semantic and geometric information mutually reinforce each other in ToF object localization
• [cs.CV]Inner Eye Canthus Localization for Human Body Temperature Screening
• [cs.CV]Instance Adaptive Self-Training for Unsupervised Domain Adaptation
• [cs.CV]Large Scale Photometric Bundle Adjustment
• [cs.CV]Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
• [cs.CV]Learning Global Structure Consistency for Robust Object Tracking
• [cs.CV]Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
• [cs.CV]MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
• [cs.CV]Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
• [cs.CV]Moderately supervised learning: definition and framework
• [cs.CV]Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
• [cs.CV]Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
• [cs.CV]One Shot 3D Photography
• [cs.CV]Pose-Guided High-Resolution Appearance Transfer via Progressive Training
• [cs.CV]Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
• [cs.CV]Reducing Drift in Structure from Motion using Extended Features
• [cs.CV]Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
• [cs.CV]Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
• [cs.CV]Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
• [cs.CV]Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
• [cs.CV]Visual Concept Reasoning Networks
• [cs.CV]Visual Question Answering on Image Sets
• [cs.CV]Webly Supervised Image Classification with Self-Contained Confidence
• [cs.CY]”Improving” prediction of human behavior using behavior modification
• [cs.CY]#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
• [cs.CY]Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
• [cs.CY]How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
• [cs.CY]Multifaceted COVID-19 Outbreak
• [cs.DC]$k$-ported vs. $k$-lane Broadcast, Scatter, and Alltoall Algorithms
• [cs.DC]A Brief Survey on Replica Consistency in Cloud Environments
• [cs.DC]A transprecision floating-point cluster for efficient near-sensor data analytics
• [cs.DC]Amortized Constant Round Atomic Snapshot in Message-Passing Systems
• [cs.DC]BumbleBee: Application-aware adaptation for container orchestration
• [cs.DC]Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs
• [cs.DC]Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
• [cs.DC]SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks
• [cs.ET]Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?
• [cs.HC]A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
• [cs.HC]A survey on applications of augmented, mixed andvirtual reality for nature and environment
• [cs.HC]Adapting Security Warnings to Counter Online Disinformation
• [cs.HC]Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
• [cs.HC]How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
• [cs.HC]Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
• [cs.IR]MultiGBS: A multi-layer graph approach to biomedical summarization
• [cs.IR]Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
• [cs.IR]SciLens News Platform: A System for Real-Time Evaluation of News Articles
• [cs.IR]Time-based Sequence Model for Personalization and Recommendation Systems
• [cs.IT]A Precise Performance Analysis of Learning with Random Features
• [cs.IT]Galois ring isomorphism problem
• [cs.IT]Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results
• [cs.IT]Orbit Structure of Grassmannian $G_{2, m}$ and a decoder for Grassmann code $C(2, m)$
• [cs.IT]Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
• [cs.IT]Some classes of power functions with low c-differential uniformity over finite fields
• [cs.IT]Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
• [cs.IT]Type Size Code for Compressing Erdös-Rényi Graphs
• [cs.LG]A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs
• [cs.LG]A benchmark of data stream classification for human activity recognition on connected objects
• [cs.LG]Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
• [cs.LG]Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
• [cs.LG]AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
• [cs.LG]Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
• [cs.LG]Collaborative Fairness in Federated Learning
• [cs.LG]Constrained Markov Decision Processes via Backward Value Functions
• [cs.LG]DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
• [cs.LG]Designing Neural Networks for Real-Time Systems
• [cs.LG]Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses
• [cs.LG]Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
• [cs.LG]Graph Neural Network Architecture Search for Molecular Property Prediction
• [cs.LG]Meta-Learning with Shared Amortized Variational Inference
• [cs.LG]Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
• [cs.LG]NASirt: AutoML based learning with instance-level complexity information
• [cs.LG]Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
• [cs.LG]Predicting conversions in display advertising based on URL embeddings
• [cs.LG]Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
• [cs.LG]SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
• [cs.LG]Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
• [cs.LG]Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
• [cs.LG]Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
• [cs.LG]learn2learn: A Library for Meta-Learning Research
• [cs.MA]Algorithmic Approaches to Reconfigurable Assembly Systems
• [cs.MS]GPU-accelerating ImageJ Macro image processing workflows using CLIJ
• [cs.NE]CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices
• [cs.NE]Training robust anomaly detection using ML-Enhanced simulations
• [cs.RO]Design of a sensor integrated adaptive gripper
• [cs.RO]Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
• [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
• [cs.RO]Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
• [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
• [cs.SD]Exploring British Accents: Modeling the Trap-Bath Split with Functional Data Analysis
• [cs.SE]MAR: A structure-based search engine for models
• [cs.SI]Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic
• [cs.SI]Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
• [cs.SI]Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge?
• [cs.SI]Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
• [cs.SI]OFFER: A Motif Dimensional Framework for Network Representation Learning
• [cs.SI]Path homology and temporal networks
• [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
• [eess.AS]FCN Approach for Dynamically Locating Multiple Speakers
• [eess.IV]DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
• [eess.IV]Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
• [eess.IV]Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
• [eess.IV]Mixed Noise Removal with Pareto Prior
• [eess.IV]Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
• [eess.SP]Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
• [math.FA]Adaptive directional Haar tight framelets on bounded domains for digraph signal representations
• [math.NT]The group structures of automorphism groups of elliptic function fields over finite fields and their applications to optimal locally repairable codes
• [math.OA]Quantum information theory and Fourier multipliers on quantum groups
• [math.OC]Balanced dynamic multiple travelling salesmen: algorithms and continuous approximations
• [math.OC]Complexity Aspects of Fundamental Questions in Polynomial Optimization
• [math.OC]Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
• [math.PR]Approximate Message Passing algorithms for rotationally invariant matrices
• [math.ST]Analytical and statistical properties of local depth functions motivated by clustering applications
• [math.ST]Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
• [math.ST]Discrepancy of stratified samples from partitions of the unit cube
• [math.ST]On the High Accuracy Limitation of Adaptive Property Estimation
• [math.ST]Out-of-sample error estimate for robust M-estimators with convex penalty
• [math.ST]Posterior Contraction Rates for Graph-Based Semi-Supervised Classification
• [math.ST]Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
• [math.ST]Statistical inference for principal components of spiked covariance matrix
• [math.ST]The linear conditional expectation in Hilbert space
• [math.ST]The polar-generalized normal distribution
• [physics.comp-ph]Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene
• [physics.comp-ph]Multi-scale approach for the prediction of atomic scale properties
• [physics.soc-ph]Exploring Urban Form Through Openstreetmap Data: A Visual Introduction
• [q-bio.QM]A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata
• [q-bio.QM]MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
• [q-fin.CP]Deep Learning for Constrained Utility Maximisation
• [q-fin.ST]Quantifying the impact of Covid-19 on the US stock market: An analysis from multi-source information
• [q-fin.ST]Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA
• [quant-ph]Hybrid quantum-classical optimization for financial index tracking
• [stat.AP]An exploratory time series analysis of total deaths per month in Brazil since 2015
• [stat.AP]Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
• [stat.AP]What Can We Learn from the Travelers Data in Detecting Disease Outbreaks — A Case Study of the COVID-19 Epidemic
• [stat.ME]Bellman filtering for state-space models
• [stat.ME]Improved estimators in beta prime regression models
• [stat.ME]Joint modeling of time-varying exposure history and subsequent health outcomes: identification of critical windows
• [stat.ME]Minimizing post-shock forecasting error through aggregation of outside information
• [stat.ME]Pleiotropy robust methods for multivariable Mendelian randomization
• [stat.ML]Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
• [stat.ML]Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
·····································
• [astro-ph.IM]Identifying microlensing events using neural networks
Przemek Mroz
http://arxiv.org/abs/2008.11930v1
• [astro-ph.SR]Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang
http://arxiv.org/abs/2008.12080v1
• [cs.AI]A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach
Maryam Abdirad, Krishna Krishnan, Deepak Gupta
http://arxiv.org/abs/2008.11719v1
• [cs.AI]A principled analysis of Behavior Trees and their generalisations
Oliver Biggar, Mohammad Zamani, Iman Shames
http://arxiv.org/abs/2008.11906v1
• [cs.AI]Analysis of English free association network reveals mechanisms of efficient solution of the Remote Association Tests
O. V. Valba, A. S. Gorsky, S. K. Nechaev, M. V. Tamm
http://arxiv.org/abs/2008.12219v1
• [cs.AI]Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
Teng Liu, Hong Wang, Bing Lu, Jun Li, Dongpu Cao
http://arxiv.org/abs/2008.11852v1
• [cs.AI]Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton
http://arxiv.org/abs/2008.12095v1
• [cs.AI]Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
Mohammad Jafar Mashhadi, Hadi Hemmati
http://arxiv.org/abs/2008.11856v1
• [cs.AI]Reputation-driven Decision-making in Networks of Stochastic Agents
David Maoujoud, Gavin Rens
http://arxiv.org/abs/2008.11791v1
• [cs.AI]The Advantage Regret-Matching Actor-Critic
Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls
http://arxiv.org/abs/2008.12234v1
• [cs.CC]Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein
http://arxiv.org/abs/2008.12237v1
• [cs.CL]A Survey of Evaluation Metrics Used for NLG Systems
Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra
http://arxiv.org/abs/2008.12009v1
• [cs.CL]AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
Xinsong Zhang, Hang Li
http://arxiv.org/abs/2008.11869v1
• [cs.CL]Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
http://arxiv.org/abs/2008.12281v1
• [cs.CL]Automatic Speech Summarisation: A Scoping Review
Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, A. Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico Coiera
http://arxiv.org/abs/2008.11897v1
• [cs.CL]Entity and Evidence Guided Relation Extraction for DocRED
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
http://arxiv.org/abs/2008.12283v1
• [cs.CL]GREEK-BERT: The Greeks visiting Sesame Street
John Koutsikakis, Ilias Chalkidis, Prodromos Malakasiotis, Ion Androutsopoulos
http://arxiv.org/abs/2008.12014v1
• [cs.CL]Improvement of a dedicated model for open domain persona-aware dialogue generation
Qiang Han
http://arxiv.org/abs/2008.11970v1
• [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection
Dmitry Grigorev, Vladimir Ivanov
http://arxiv.org/abs/2008.11584v2
• [cs.CL]On the Optimality of Vagueness: “Around”, “Between”, and the Gricean Maxims
Paul Egré, Benjamin Spector, Adèle Mortier, Steven Verheyen
http://arxiv.org/abs/2008.11841v1
• [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Yang Deng, Wenxuan Zhanng, Wai Lam
http://arxiv.org/abs/2008.11972v1
• [cs.CL]Query Focused Multi-document Summarisation of Biomedical Texts
Diego Molla, Christopher Jones, Vincent Nguyen
http://arxiv.org/abs/2008.11986v1
• [cs.CL]Relation/Entity-Centric Reading Comprehension
Takeshi Onishi
http://arxiv.org/abs/2008.11940v1
• [cs.CL]SHAP values for Explaining CNN-based Text Classification Models
Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
http://arxiv.org/abs/2008.11825v1
• [cs.CL]Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
Tommi Jauhiainen, Heidi Jauhiainen, Niko Partanen, Krister Lindén
http://arxiv.org/abs/2008.12169v1
• [cs.CR]Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou
http://arxiv.org/abs/2008.12199v1
• [cs.CR]Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
Kien Nguyen, John Krumm, Cyrus Shahabi
http://arxiv.org/abs/2008.11817v1
• [cs.CV]A Flexible Selection Scheme for Minimum-Effort Transfer Learning
Amelie Royer, Christoph H. Lampert
http://arxiv.org/abs/2008.11995v1
• [cs.CV]A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
http://arxiv.org/abs/2008.11887v1
• [cs.CV]Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Taotao Jing, Haifeng Xia, Zhengming Ding
http://arxiv.org/abs/2008.11873v1
• [cs.CV]Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Taotao Jing, Zhengming Ding
http://arxiv.org/abs/2008.11878v1
• [cs.CV]Attribute-guided image generation from layout
Ke Ma, Bo Zhao, Leonid Sigal
http://arxiv.org/abs/2008.11932v1
• [cs.CV]CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image
Yu Sun, Qian Bao, Wu Liu, Yili Fu, Tao Mei
http://arxiv.org/abs/2008.12272v1
• [cs.CV]Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft
http://arxiv.org/abs/2008.11988v1
• [cs.CV]Compensation Tracker: Data Association Method for Lost Object
Zhibo Zou, Junjie Huang, Ping Luo
http://arxiv.org/abs/2008.12052v1
• [cs.CV]Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
Xuewen Yang, Dongliang Xie, Xin Wang
http://arxiv.org/abs/2008.11882v1
• [cs.CV]DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado
http://arxiv.org/abs/2008.12085v1
• [cs.CV]Deep Learning for 2D grapevine bud detection
Wenceslao Villegas Marset, Diego Sebastián Pérez, Carlos Ariel Díaz, Facundo Bromberg
http://arxiv.org/abs/2008.11872v1
• [cs.CV]Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J Hung
http://arxiv.org/abs/2008.11833v1
• [cs.CV]DeepFake Detection Based on the Discrepancy Between the Face and its Context
Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner
http://arxiv.org/abs/2008.12262v1
• [cs.CV]Domain Adaptation Through Task Distillation
Brady Zhou, Nimit Kalra, Philipp Krähenbühl
http://arxiv.org/abs/2008.11911v1
• [cs.CV]Edge and Identity Preserving Network for Face Super-Resolution
Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, Joongkyu Kim
http://arxiv.org/abs/2008.11977v1
• [cs.CV]Expressive Telepresence via Modular Codec Avatars
Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh
http://arxiv.org/abs/2008.11789v1
• [cs.CV]Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki
http://arxiv.org/abs/2008.11917v1
• [cs.CV]How semantic and geometric information mutually reinforce each other in ToF object localization
Antoine Vanderschueren, Victor Joos, Christophe De Vleeschouwer
http://arxiv.org/abs/2008.12002v1
• [cs.CV]Inner Eye Canthus Localization for Human Body Temperature Screening
Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini, Alberto Del Bimbo
http://arxiv.org/abs/2008.12046v1
• [cs.CV]Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang
http://arxiv.org/abs/2008.12197v1
• [cs.CV]Large Scale Photometric Bundle Adjustment
Oliver J. Woodford, Edward Rosten
http://arxiv.org/abs/2008.11762v1
• [cs.CV]Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool
http://arxiv.org/abs/2008.12165v1
• [cs.CV]Learning Global Structure Consistency for Robust Object Tracking
Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang, Jingtuo Liu, Junyu Han, Errui Ding, Wenyu Liu
http://arxiv.org/abs/2008.11769v1
• [cs.CV]Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami
http://arxiv.org/abs/2008.11772v1
• [cs.CV]MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-jui Hsieh
http://arxiv.org/abs/2008.12094v1
• [cs.CV]Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
http://arxiv.org/abs/2008.12066v1
• [cs.CV]Moderately supervised learning: definition and framework
Yongquan Yang, Zhongxi Zheng
http://arxiv.org/abs/2008.11945v1
• [cs.CV]Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
http://arxiv.org/abs/2008.11901v1
• [cs.CV]Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
Chen-Hsiu Huang, Ja-Ling Wu
http://arxiv.org/abs/2008.11961v1
• [cs.CV]One Shot 3D Photography
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Peter Vajda, Ayush Saraf, Michael Cohen
http://arxiv.org/abs/2008.12298v1
• [cs.CV]Pose-Guided High-Resolution Appearance Transfer via Progressive Training
Ji Liu, Heshan Liu, Mang-Tik Chiu, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2008.11898v1
• [cs.CV]Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
http://arxiv.org/abs/2008.12205v1
• [cs.CV]Reducing Drift in Structure from Motion using Extended Features
Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski
http://arxiv.org/abs/2008.12295v1
• [cs.CV]Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Fillia Makedon
http://arxiv.org/abs/2008.11755v1
• [cs.CV]Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
http://arxiv.org/abs/2008.11954v1
• [cs.CV]Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural
http://arxiv.org/abs/2008.11842v1
• [cs.CV]Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
http://arxiv.org/abs/2008.11946v1
• [cs.CV]Visual Concept Reasoning Networks
Taesup Kim, Sungwoong Kim, Yoshua Bengio
http://arxiv.org/abs/2008.11783v1
• [cs.CV]Visual Question Answering on Image Sets
Ankan Bansal, Yuting Zhang, Rama Chellappa
http://arxiv.org/abs/2008.11976v1
• [cs.CV]Webly Supervised Image Classification with Self-Contained Confidence
Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang
http://arxiv.org/abs/2008.11894v1
• [cs.CY]“Improving” prediction of human behavior using behavior modification
Galit Shmueli
http://arxiv.org/abs/2008.12138v1
• [cs.CY]#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
Fatima Zahrah, Jason R. C. Nurse, Michael Goldsmith
http://arxiv.org/abs/2008.11808v1
• [cs.CY]Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
http://arxiv.org/abs/2008.12146v1
• [cs.CY]How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
Christina Uhl, Nadia Abou Nabout, Klaus Miller
http://arxiv.org/abs/2008.12132v1
• [cs.CY]Multifaceted COVID-19 Outbreak
Aneesh Mathews Paul, Sinnu SusanThomas
http://arxiv.org/abs/2008.12127v1
• [cs.DC]$k$-ported vs. $k$-lane Broadcast, Scatter, and Alltoall Algorithms
Jesper Larsson Träff
http://arxiv.org/abs/2008.12144v1
• [cs.DC]A Brief Survey on Replica Consistency in Cloud Environments
Robson A. Campêlo, Marco A. Casanova, Dorgival O. Guedes, Alberto H. F. Laender
http://arxiv.org/abs/2008.11900v1
• [cs.DC]A transprecision floating-point cluster for efficient near-sensor data analytics
Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini
http://arxiv.org/abs/2008.12243v1
• [cs.DC]Amortized Constant Round Atomic Snapshot in Message-Passing Systems
Vijay Garg, Saptaparni Kumar, Lewis Tseng, Xiong Zheng
http://arxiv.org/abs/2008.11837v1
• [cs.DC]BumbleBee: Application-aware adaptation for container orchestration
HyunJong Lee, Shadi Noghabi, Brian Noble, Matthew Furlong, Landon P. Cox
http://arxiv.org/abs/2008.11868v1
• [cs.DC]Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs
Changwan Hong, Laxman Dhulipala, Julian Shun
http://arxiv.org/abs/2008.11839v1
• [cs.DC]Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
http://arxiv.org/abs/2008.12260v1
• [cs.DC]SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks
Abdullah Yousafzai, Choong Seon Hong
http://arxiv.org/abs/2008.11803v1
• [cs.ET]Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?
Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
http://arxiv.org/abs/2008.12016v1
• [cs.HC]A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
Bernd Dudzik, Joost Broekens, Mark Neerincx, Hayley Hung
http://arxiv.org/abs/2008.12096v1
• [cs.HC]A survey on applications of augmented, mixed andvirtual reality for nature and environment
Jason Rambach, Gergana Lilligreen, Alexander Schäfer, Ramya Bankanal, Alexander Wiebel, Didier Stricker
http://arxiv.org/abs/2008.12024v1
• [cs.HC]Adapting Security Warnings to Counter Online Disinformation
Ben Kaiser, Jerry Wei, Elena Lucherini, Kevin Lee, J. Nathan Matias, Jonathan Mayer
http://arxiv.org/abs/2008.10772v2
• [cs.HC]Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
http://arxiv.org/abs/2008.11844v1
• [cs.HC]How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
Hua Shen, Ting-Hao ‘Kenneth’ Huang
http://arxiv.org/abs/2008.11721v1
• [cs.HC]Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
Guy Clarke Marshall, Caroline Jay, André Freitas
http://arxiv.org/abs/2008.11785v1
• [cs.IR]MultiGBS: A multi-layer graph approach to biomedical summarization
Ensieh Davoodijam, Nasser Ghadiri, Maryam Lotfi Shahreza, Fabio Rinaldi
http://arxiv.org/abs/2008.11908v1
• [cs.IR]Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
Geert Heyman, Tom Van Cutsem
http://arxiv.org/abs/2008.12193v1
• [cs.IR]SciLens News Platform: A System for Real-Time Evaluation of News Articles
Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer
http://arxiv.org/abs/2008.12039v1
• [cs.IR]Time-based Sequence Model for Personalization and Recommendation Systems
Tigran Ishkhanov, Maxim Naumov, Xianjie Chen, Yan Zhu, Yuan Zhong, Alisson Gusatti Azzolini, Chonglin Sun, Frank Jiang, Andrey Malevich, Liang Xiong
http://arxiv.org/abs/2008.11922v1
• [cs.IT]A Precise Performance Analysis of Learning with Random Features
Oussama Dhifallah, Yue M. Lu
http://arxiv.org/abs/2008.11904v1
• [cs.IT]Galois ring isomorphism problem
Karan Khathuria
http://arxiv.org/abs/2008.11927v1
• [cs.IT]Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results
Armin Eftekhari, Konstantinos Zygalakis
http://arxiv.org/abs/2008.12091v1
• [cs.IT]Orbit Structure of Grassmannian $G_{2, m}$ and a decoder for Grassmann code $C(2, m)$
Fernando Piñero, Prasant Singh
http://arxiv.org/abs/2008.12067v1
• [cs.IT]Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
Xiaoling Hu, Caijun Zhong, Mohamed-Slim Alouini, Zhaoyang Zhang
http://arxiv.org/abs/2008.11864v1
• [cs.IT]Some classes of power functions with low c-differential uniformity over finite fields
Zhengbang Zha, Lei Hu
http://arxiv.org/abs/2008.12183v1
• [cs.IT]Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
http://arxiv.org/abs/2008.12246v1
• [cs.IT]Type Size Code for Compressing Erdös-Rényi Graphs
Nematollah Iri
http://arxiv.org/abs/2008.11876v1
• [cs.LG]A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs
Nathan de Lara, Thomas Bonald
http://arxiv.org/abs/2008.11944v1
• [cs.LG]A benchmark of data stream classification for human activity recognition on connected objects
Martin Khannouz, Tristan Glatard
http://arxiv.org/abs/2008.11880v1
• [cs.LG]Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
http://arxiv.org/abs/2008.11832v1
• [cs.LG]Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
http://arxiv.org/abs/2008.11752v1
• [cs.LG]AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
http://arxiv.org/abs/2008.12001v1
• [cs.LG]Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
http://arxiv.org/abs/2008.11828v1
• [cs.LG]Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
http://arxiv.org/abs/2008.12161v1
• [cs.LG]Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija, Philip Amortila, Joelle Pineau
http://arxiv.org/abs/2008.11811v1
• [cs.LG]DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev
http://arxiv.org/abs/2008.12152v1
• [cs.LG]Designing Neural Networks for Real-Time Systems
Hammond Pearce, Xin Yang, Partha S. Roop, Marc Katzef, Tórur Biskopstø Strøm
http://arxiv.org/abs/2008.11830v1
• [cs.LG]Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses
Saskia Nuñez von Voigt, Mira Pauli, Johanna Reichert, Florian Tschorsch
http://arxiv.org/abs/2008.12282v1
• [cs.LG]Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan J. Rodríguez
http://arxiv.org/abs/2008.12025v1
• [cs.LG]Graph Neural Network Architecture Search for Molecular Property Prediction
Shengli Jiang, Prasanna Balaprakash
http://arxiv.org/abs/2008.12187v1
• [cs.LG]Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
http://arxiv.org/abs/2008.12037v1
• [cs.LG]Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
http://arxiv.org/abs/2008.11979v1
• [cs.LG]NASirt: AutoML based learning with instance-level complexity information
Habib Asseiss Neto, Ronnie C. O. Alves, Sergio V. A. Campos
http://arxiv.org/abs/2008.11846v1
• [cs.LG]Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
http://arxiv.org/abs/2008.11990v1
• [cs.LG]Predicting conversions in display advertising based on URL embeddings
Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis
http://arxiv.org/abs/2008.12003v1
• [cs.LG]Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
Md Abul Bashar, Astin-Walmsley Kieren, Heath Kerina, Richi Nayak
http://arxiv.org/abs/2008.12065v1
• [cs.LG]SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
Ziheng Wang
http://arxiv.org/abs/2008.11849v1
• [cs.LG]Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
Rylan Perumal, Terence L van Zyl
http://arxiv.org/abs/2008.11835v1
• [cs.LG]Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
Vardan Papyan
http://arxiv.org/abs/2008.11865v1
• [cs.LG]Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
Jerry Chee, Ping Li
http://arxiv.org/abs/2008.12224v1
• [cs.LG]learn2learn: A Library for Meta-Learning Research
Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias
http://arxiv.org/abs/2008.12284v1
• [cs.MA]Algorithmic Approaches to Reconfigurable Assembly Systems
Allan Costa, Benjamin Jenett, Irina Kostitsyna, Amira Abdel-Rahman, Neil Gershenfeld, Kenneth Cheung
http://arxiv.org/abs/2008.11925v1
• [cs.MS]GPU-accelerating ImageJ Macro image processing workflows using CLIJ
Daniela Vorkel, Robert Haase
http://arxiv.org/abs/2008.11799v1
• [cs.NE]CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices
Parth Mannan, Ananda Samajdar, Tushar Krishna
http://arxiv.org/abs/2008.11881v1
• [cs.NE]Training robust anomaly detection using ML-Enhanced simulations
Philip Feldman
http://arxiv.org/abs/2008.12082v1
• [cs.RO]Design of a sensor integrated adaptive gripper
IA Sainul, Sankha Deb, AK Deb
http://arxiv.org/abs/2008.11754v1
• [cs.RO]Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
http://arxiv.org/abs/2008.11822v1
• [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
Sunny Katyara, Fanny Ficuciello, Darwin Caldwell, Bruno Siciliano, Fei Chen
http://arxiv.org/abs/2008.11574v2
• [cs.RO]Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
http://arxiv.org/abs/2008.11867v1
• [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
Thomas Ponn, Fabian Müller, Frank Diermeyer
http://arxiv.org/abs/2008.11568v2
• [cs.SD]Exploring British Accents: Modeling the Trap-Bath Split with Functional Data Analysis
Aranya Koshy, Shahin Tavakoli
http://arxiv.org/abs/2008.12233v1
• [cs.SE]MAR: A structure-based search engine for models
José Antonio Antonio Hernández López, Jesús Sánchez Cuadrado
http://arxiv.org/abs/2008.11858v1
• [cs.SI]Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic
Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu
http://arxiv.org/abs/2008.12172v1
• [cs.SI]Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
Shuai Wang, Qingchao Kong, Yuqi Wang, Lei Wang
http://arxiv.org/abs/2008.12154v1
• [cs.SI]Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge?
Josimar Chire-Saire, Khalid Mahmood
http://arxiv.org/abs/2008.12289v1
• [cs.SI]Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse
http://arxiv.org/abs/2008.12238v1
• [cs.SI]OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
http://arxiv.org/abs/2008.12010v1
• [cs.SI]Path homology and temporal networks
Samir Chowdhury, Steve Huntsman, Matvey Yutin
http://arxiv.org/abs/2008.11885v1
• [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
Josimar Chire Saire, Kobby Panford-Quainoo
http://arxiv.org/abs/2008.12277v1
• [eess.AS]FCN Approach for Dynamically Locating Multiple Speakers
Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
http://arxiv.org/abs/2008.11845v1
• [eess.IV]DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang
http://arxiv.org/abs/2008.11853v1
• [eess.IV]Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
Cian M. Scannell, Amedeo Chiribiri, Mitko Veta
http://arxiv.org/abs/2008.11776v1
• [eess.IV]Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan Yuille, Le Lu
http://arxiv.org/abs/2008.11870v1
• [eess.IV]Mixed Noise Removal with Pareto Prior
Zhou Liu, Lei Yu, Gui-Song Xia, Hong Sun
http://arxiv.org/abs/2008.11935v1
• [eess.IV]Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen
http://arxiv.org/abs/2008.11921v1
• [eess.SP]Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
http://arxiv.org/abs/2008.11827v1
• [math.FA]Adaptive directional Haar tight framelets on bounded domains for digraph signal representations
Yuchen Xiao, Xiaosheng Zhuang
http://arxiv.org/abs/2008.11966v1
• [math.NT]The group structures of automorphism groups of elliptic function fields over finite fields and their applications to optimal locally repairable codes
Liming Ma, Chaoping Xing
http://arxiv.org/abs/2008.12119v1
• [math.OA]Quantum information theory and Fourier multipliers on quantum groups
Cédric Arhancet
http://arxiv.org/abs/2008.12019v1
• [math.OC]Balanced dynamic multiple travelling salesmen: algorithms and continuous approximations
Wolfgang Garn
http://arxiv.org/abs/2008.12063v1
• [math.OC]Complexity Aspects of Fundamental Questions in Polynomial Optimization
Jeffrey Zhang
http://arxiv.org/abs/2008.12170v1
• [math.OC]Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
http://arxiv.org/abs/2008.11824v1
• [math.PR]Approximate Message Passing algorithms for rotationally invariant matrices
Zhou Fan
http://arxiv.org/abs/2008.11892v1
• [math.ST]Analytical and statistical properties of local depth functions motivated by clustering applications
Giacomo Francisci, Claudio Agostinelli, Alicia Nieto-Reyes, Anand N. Vidyashankar
http://arxiv.org/abs/2008.11957v1
• [math.ST]Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
Martin Hanik, Hans-Christian Hege, Christoph von Tycowicz
http://arxiv.org/abs/2008.12195v1
• [math.ST]Discrepancy of stratified samples from partitions of the unit cube
Markus Kiderlen, Florian Pausinger
http://arxiv.org/abs/2008.12026v1
• [math.ST]On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
http://arxiv.org/abs/2008.11964v1
• [math.ST]Out-of-sample error estimate for robust M-estimators with convex penalty
Pierre C Bellec
http://arxiv.org/abs/2008.11840v1
• [math.ST]Posterior Contraction Rates for Graph-Based Semi-Supervised Classification
Daniel Sanz-Alonso, Ruiyi Yang
http://arxiv.org/abs/2008.11809v1
• [math.ST]Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
Mohamed Ndaoud
http://arxiv.org/abs/2008.12236v1
• [math.ST]Statistical inference for principal components of spiked covariance matrix
Zhigang Bao, Xiucai Ding, Jingming Wang, Ke Wang
http://arxiv.org/abs/2008.11903v1
• [math.ST]The linear conditional expectation in Hilbert space
Ilja Klebanov, Björn Sprungk, T. J. Sullivan
http://arxiv.org/abs/2008.12070v1
• [math.ST]The polar-generalized normal distribution
Masoud Faridi, Majid Jafari Khaledi
http://arxiv.org/abs/2008.11765v1
• [physics.comp-ph]Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene
Yu Xie, Jonathan Vandermause, Lixin Sun, Andrea Cepellotti, Boris Kozinsky
http://arxiv.org/abs/2008.11796v1
• [physics.comp-ph]Multi-scale approach for the prediction of atomic scale properties
Andrea Grisafi, Jigyasa Nigam, Michele Ceriotti
http://arxiv.org/abs/2008.12122v1
• [physics.soc-ph]Exploring Urban Form Through Openstreetmap Data: A Visual Introduction
Geoff Boeing
http://arxiv.org/abs/2008.12142v1
• [q-bio.QM]A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata
Sayantari Ghosh, Saumik Bhattacharya
http://arxiv.org/abs/2008.12020v1
• [q-bio.QM]MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
Daniel S. Berman, Craig Howser, Thomas Mehoke, Jared D. Evans
http://arxiv.org/abs/2008.11790v1
• [q-fin.CP]Deep Learning for Constrained Utility Maximisation
Ashley Davey, Harry Zheng
http://arxiv.org/abs/2008.11757v1
• [q-fin.ST]Quantifying the impact of Covid-19 on the US stock market: An analysis from multi-source information
Asim Kumer Dey, Toufiqul Haq, Kumer Das
http://arxiv.org/abs/2008.10885v2
• [q-fin.ST]Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA
Linyu Zheng, Hongmei He
http://arxiv.org/abs/2008.11788v1
• [quant-ph]Hybrid quantum-classical optimization for financial index tracking
Samuel Fernández-Lorenzo, Diego Porras, Juan José García-Ripoll
http://arxiv.org/abs/2008.12050v1
• [stat.AP]An exploratory time series analysis of total deaths per month in Brazil since 2015
Alexandre Barbosa de Lima
http://arxiv.org/abs/2008.11805v1
• [stat.AP]Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
Xizhen Cai, Donna L. Coffman, Megan E. Piper, Runze Li
http://arxiv.org/abs/2008.11797v1
• [stat.AP]What Can We Learn from the Travelers Data in Detecting Disease Outbreaks — A Case Study of the COVID-19 Epidemic
Le Bao, Ying Zhang, Xiaoyue Niu
http://arxiv.org/abs/2008.11874v1
• [stat.ME]Bellman filtering for state-space models
Rutger-Jan Lange
http://arxiv.org/abs/2008.11477v2
• [stat.ME]Improved estimators in beta prime regression models
Francisco M. C. Medeiros, Mariana C. Araújo, Marcelo Bourguignon
http://arxiv.org/abs/2008.11750v1
• [stat.ME]Joint modeling of time-varying exposure history and subsequent health outcomes: identification of critical windows
Maude Wagner, Francine Grodstein, Karen Leffondre, Cécilia Samieri, Cécile Proust-Lima
http://arxiv.org/abs/2008.11866v1
• [stat.ME]Minimizing post-shock forecasting error through aggregation of outside information
Jilei Lin, Daniel J. Eck
http://arxiv.org/abs/2008.11756v1
• [stat.ME]Pleiotropy robust methods for multivariable Mendelian randomization
Andrew J. Grant, Stephen Burgess
http://arxiv.org/abs/2008.11997v1
• [stat.ML]Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
Raoul Heese, Michael Bortz
http://arxiv.org/abs/2008.12005v1
• [stat.ML]Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Zhimei Ren, Zhengyuan Zhou
http://arxiv.org/abs/2008.11918v1