cs.AI - 人工智能

    cs.CL - 计算与语言 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.DS - 数据结构与算法 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.RO - 机器人学 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 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 quant-ph - 量子物理 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Automatic Player Identification in Dota 2
    • [cs.AI]On modularity in reactive control architectures, with an application to formal verification
    • [cs.AI]Optimal minimal-perturbation university timetabling with faculty preferences
    • [cs.AI]The Effects of Quantum Randomness on a System Exhibiting Computational Creativity
    • [cs.CL]Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition
    • [cs.CL]Language Models as Emotional Classifiers for Textual Conversations
    • [cs.CL]Linked Credibility Reviews for Explainable Misinformation Detection
    • [cs.CL]Misogynistic Tweet Detection: Modelling CNN with Small Datasets
    • [cs.CL]Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
    • [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
    • [cs.CL]QutNocturnal@HASOC’19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
    • [cs.CL]Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19
    • [cs.CL]The Adapter-Bot: All-In-One Controllable Conversational Model
    • [cs.CL]Two Step Joint Model for Drug Drug Interaction Extraction
    • [cs.CV]A Dataset and Baselines for Visual Question Answering on Art
    • [cs.CV]A Federated Approach for Fine-Grained Classification of Fashion Apparel
    • [cs.CV]A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
    • [cs.CV]Adaptive WGAN with loss change rate balancing
    • [cs.CV]Adversarial Training for Multi-Channel Sign Language Production
    • [cs.CV]All About Knowledge Graphs for Actions
    • [cs.CV]AllenAct: A Framework for Embodied AI Research
    • [cs.CV]Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
    • [cs.CV]Color and Edge-Aware Adversarial Image Perturbations
    • [cs.CV]Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
    • [cs.CV]Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
    • [cs.CV]Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images
    • [cs.CV]Few-Shot Object Detection via Knowledge Transfer
    • [cs.CV]Metrics for Exposing the Biases of Content-Style Disentanglement
    • [cs.CV]Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy
    • [cs.CV]Next-Best View Policy for 3D Reconstruction
    • [cs.CV]PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
    • [cs.CV]Person-in-Context Synthesiswith Compositional Structural Space
    • [cs.CV]Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction
    • [cs.CV]Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
    • [cs.CV]Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
    • [cs.CV]The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
    • [cs.CY]A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft)
    • [cs.CY]An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning
    • [cs.CY]Investigating Taxi and Uber competition in New York City: Multi-agent modeling by reinforcement-learning
    • [cs.DB]Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
    • [cs.DB]The Impact of Discretization Method on the Detection of Six Types of Anomalies in Datasets
    • [cs.DC]A Dynamic Load Balancing Algorithm for Distributing Mobile Codes in Multi-Applications and Multi-Hosts Environment
    • [cs.DC]Coffea — Columnar Object Framework For Effective Analysis
    • [cs.DC]GOSH: Embedding Big Graphs on Small Hardware
    • [cs.DC]SAF: Simulated Annealing Fair Scheduling for Hadoop Yarn Clusters
    • [cs.DC]Work-Efficient Parallel Algorithms for Predicate Detection
    • [cs.DS]Differentially Private Clustering via Maximum Coverage
    • [cs.HC]A survey on applications of augmented, mixed and virtual reality for nature and environment
    • [cs.HC]How Researchers Use Diagrams in Communicating Neural Network Systems
    • [cs.HC]Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
    • [cs.HC]The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays
    • [cs.IT]A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer
    • [cs.IT]Bandwidth Cost of Code Conversions in Distributed Storage: Fundamental Limits and Optimal Constructions
    • [cs.IT]Gridless Multidimensional Angle of Arrival Estimation for Arbitrary 3D Antenna Arrays
    • [cs.IT]Power Control for ISI Mitigation in Mobile Molecular Communication
    • [cs.LG]A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
    • [cs.LG]Adversarially Robust Learning via Entropic Regularization
    • [cs.LG]An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
    • [cs.LG]Certainty Equivalent Perception-Based Control
    • [cs.LG]Collaborative Fairness in Federated Learning
    • [cs.LG]Continuous Regularized Wasserstein Barycenters
    • [cs.LG]Controlling Level of Unconsciousness with Deep Reinforcement Learning
    • [cs.LG]Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
    • [cs.LG]Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks
    • [cs.LG]Dynamical Variational Autoencoders: A Comprehensive Review
    • [cs.LG]Efficiently Solving MDPs with Stochastic Mirror Descent
    • [cs.LG]Fast Partial Fourier Transform
    • [cs.LG]Forecasting with Multiple Seasonality
    • [cs.LG]Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
    • [cs.LG]Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography
    • [cs.LG]Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
    • [cs.LG]On the model-based stochastic value gradient for continuous reinforcement learning
    • [cs.LG]Predicting Training Time Without Training
    • [cs.LG]Predicting conversions in display advertising based on URL embeddings
    • [cs.LG]RKT : Relation-Aware Self-Attention for Knowledge Tracing
    • [cs.LG]Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
    • [cs.LG]Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection
    • [cs.LG]Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction
    • [cs.LG]Temporal Random Indexing of Context Vectors Applied to Event Detection
    • [cs.LG]The UU-test for Statistical Modeling of Unimodal Data
    • [cs.LG]learn2learn: A Library for Meta-Learning Research
    • [cs.MA]Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance
    • [cs.MM]Rate distortion optimization over large scale video corpus with machine learning
    • [cs.RO]Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
    • [cs.RO]Comparison Between Genetic Fuzzy Methodology and Q-learning for Collaborative Control Design
    • [cs.RO]Long-term map maintenance pipeline for autonomous vehicles
    • [cs.RO]Online Dynamic Trajectory Optimization and Control for a QuadrupedRobot
    • [cs.RO]Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution
    • [cs.RO]iviz: A ROS Visualization App for Mobile Devices
    • [cs.SE]Type-driven Neural Programming by Example
    • [cs.SI]CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
    • [cs.SI]Decoupled Variational Embedding for Signed Directed Networks
    • [cs.SI]Evolution of Real-world Hypergraphs: Patterns and Models without Oracles
    • [cs.SI]Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques
    • [cs.SI]Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
    • [econ.EM]Efficient closed-form estimation of large spatial autoregressions
    • [econ.EM]How is Machine Learning Useful for Macroeconomic Forecasting?
    • [econ.EM]Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs
    • [eess.IV]Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
    • [eess.IV]CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
    • [eess.IV]DALE : Dark Region-Aware Low-light Image Enhancement
    • [eess.IV]Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning
    • [eess.IV]Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
    • [eess.IV]Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery
    • [eess.IV]On the Reliability of the PNU for Source Camera Identification Tasks
    • [eess.IV]PCB Defect Detection Using Denoising Convolutional Autoencoders
    • [eess.IV]Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
    • [eess.IV]W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
    • [eess.SP]On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
    • [math.NA]Distributed-memory $\mathcal{H}$-matrix Algebra I: Data Distribution and Matrix-vector Multiplication
    • [math.OC]Control On the Manifolds Of Mappings As a Setting For Deep Learning
    • [math.OC]ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
    • [math.PR]Drift estimation of the threshold Ornstein-Uhlenbeck process from continuous and discrete observations
    • [math.ST]An optimal linear filter for estimation of random functions in Hilbert space
    • [math.ST]Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data
    • [math.ST]On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix
    • [math.ST]Second Moment Estimator for an AR(1) Model Driven by a Long Memory Gaussian Noise
    • [nlin.AO]Causal blankets: Theory and algorithmic framework
    • [physics.comp-ph]A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures
    • [physics.comp-ph]Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition
    • [physics.soc-ph]Complexity science approach to economic crime
    • [q-bio.BM]Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity
    • [quant-ph]Blind information reconciliation with polar codes for quantum key distribution
    • [quant-ph]Trade-offs on number and phase shift resilience in bosonic quantum codes
    • [stat.CO]A Simple Algorithm for Exact Multinomial Tests
    • [stat.ME]A Note on Debiased/Double Machine Learning Logistic Partially Linear Model
    • [stat.ME]A copula transformation in multivariate mixed discrete-continuous models
    • [stat.ME]Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints
    • [stat.ML]BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
    • [stat.ML]Exact and Approximation Algorithms for Sparse PCA
    • [stat.ML]Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach
    • [stat.ML]agtboost: Adaptive and Automatic Gradient Tree Boosting Computations

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    • [cs.AI]Automatic Player Identification in Dota 2
    Sizhe Yuen, John D. Thomson, Oliver Don
    http://arxiv.org/abs/2008.12401v1

    • [cs.AI]On modularity in reactive control architectures, with an application to formal verification
    Oliver Biggar, Mohammad Zamani, Iman Shames
    http://arxiv.org/abs/2008.12515v1

    • [cs.AI]Optimal minimal-perturbation university timetabling with faculty preferences
    Jakob Kotas, Peter Pham, Sam Koellmann
    http://arxiv.org/abs/2008.12342v1

    • [cs.AI]The Effects of Quantum Randomness on a System Exhibiting Computational Creativity
    Azlan Iqbal
    http://arxiv.org/abs/2008.11545v2

    • [cs.CL]Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition
    Tingting Cai, Yangming Zhou, Hong Zheng
    http://arxiv.org/abs/2008.12548v1

    • [cs.CL]Language Models as Emotional Classifiers for Textual Conversations
    Connor T. Heaton, David M. Schwartz
    http://arxiv.org/abs/2008.12360v1

    • [cs.CL]Linked Credibility Reviews for Explainable Misinformation Detection
    Ronald Denaux, Jose Manuel Gomez-Perez
    http://arxiv.org/abs/2008.12742v1

    • [cs.CL]Misogynistic Tweet Detection: Modelling CNN with Small Datasets
    Md Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir
    http://arxiv.org/abs/2008.12452v1

    • [cs.CL]Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
    Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning
    http://arxiv.org/abs/2008.12348v1

    • [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
    Yang Deng, Wenxuan Zhang, Wai Lam
    http://arxiv.org/abs/2008.11972v2

    • [cs.CL]QutNocturnal@HASOC’19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
    Md Abul Bashar, Richi Nayak
    http://arxiv.org/abs/2008.12448v1

    • [cs.CL]Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19
    Connor T. Heaton, Prasenjit Mitra
    http://arxiv.org/abs/2008.12353v1

    • [cs.CL]The Adapter-Bot: All-In-One Controllable Conversational Model
    Andrea Madotto, Zhaojiang Lin, Yejin Bang, Pascale Fung
    http://arxiv.org/abs/2008.12579v1

    • [cs.CL]Two Step Joint Model for Drug Drug Interaction Extraction
    Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu
    http://arxiv.org/abs/2008.12704v1

    • [cs.CV]A Dataset and Baselines for Visual Question Answering on Art
    Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura
    http://arxiv.org/abs/2008.12520v1

    • [cs.CV]A Federated Approach for Fine-Grained Classification of Fashion Apparel
    Tejaswini Mallavarapu, Luke Cranfill, Junggab Son, Eun Hye Kim, Reza M. Parizi, John Morris
    http://arxiv.org/abs/2008.12350v1

    • [cs.CV]A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
    Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vazquez, Marcus Sheaves
    http://arxiv.org/abs/2008.12603v1

    • [cs.CV]Adaptive WGAN with loss change rate balancing
    Xu Ouyang, Gady Agam
    http://arxiv.org/abs/2008.12463v1

    • [cs.CV]Adversarial Training for Multi-Channel Sign Language Production
    Ben Saunders, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/2008.12405v1

    • [cs.CV]All About Knowledge Graphs for Actions
    Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava
    http://arxiv.org/abs/2008.12432v1

    • [cs.CV]AllenAct: A Framework for Embodied AI Research
    Luca Weihs, Jordi Salvador, Klemen Kotar, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, Aniruddha Kembhavi
    http://arxiv.org/abs/2008.12760v1

    • [cs.CV]Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
    David Novotny, Roman Shapovalov, Andrea Vedaldi
    http://arxiv.org/abs/2008.12709v1

    • [cs.CV]Color and Edge-Aware Adversarial Image Perturbations
    Robert Bassett, Mitchell Graves
    http://arxiv.org/abs/2008.12454v1

    • [cs.CV]Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
    Guangshuai Gao, Qingjie Liu, Yunhong Wang
    http://arxiv.org/abs/2008.12470v1

    • [cs.CV]Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
    Ryota Akai, Yuzuko Utsumi, Yuka Miwa, Masakazu Iwamura, Koichi Kise
    http://arxiv.org/abs/2008.12511v1

    • [cs.CV]Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images
    Zhenhang Huang, Shihao Sun, Ruirui Li
    http://arxiv.org/abs/2008.12447v1

    • [cs.CV]Few-Shot Object Detection via Knowledge Transfer
    Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee
    http://arxiv.org/abs/2008.12496v1

    • [cs.CV]Metrics for Exposing the Biases of Content-Style Disentanglement
    Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O’Neil, Sotirios A. Tsaftaris
    http://arxiv.org/abs/2008.12378v1

    • [cs.CV]Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy
    Alvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel
    http://arxiv.org/abs/2008.12380v1

    • [cs.CV]Next-Best View Policy for 3D Reconstruction
    Daryl Peralta, Joel Casimiro, Aldrin Michael Nilles, Justine Aletta Aguilar, Rowel Atienza, Rhandley Cajote
    http://arxiv.org/abs/2008.12664v1

    • [cs.CV]PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
    Shaoshuai Shi, Chaoxu Guo, Jihan Yang, Hongsheng Li
    http://arxiv.org/abs/2008.12599v1

    • [cs.CV]Person-in-Context Synthesiswith Compositional Structural Space
    Weidong Yin, Ziwei Liu, Leonid Sigal
    http://arxiv.org/abs/2008.12679v1

    • [cs.CV]Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction
    Zhang Yunxuan, Rong Yu, Liu Ziwei, Cheng Cheng
    http://arxiv.org/abs/2008.12444v1

    • [cs.CV]Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
    Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
    http://arxiv.org/abs/2008.12416v1

    • [cs.CV]Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
    Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
    http://arxiv.org/abs/2008.12577v1

    • [cs.CV]The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
    Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger
    http://arxiv.org/abs/2008.12602v1

    • [cs.CY]A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft)
    Miriam Redi, Martin Gerlach, Isaac Johnson, Jonathan Morgan, Leila Zia
    http://arxiv.org/abs/2008.12314v1

    • [cs.CY]An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning
    Dr. Lance Eliot
    http://arxiv.org/abs/2008.12615v1

    • [cs.CY]Investigating Taxi and Uber competition in New York City: Multi-agent modeling by reinforcement-learning
    Saeed Vasebi, Yeganeh M. Hayeri
    http://arxiv.org/abs/2008.12530v1

    • [cs.DB]Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
    Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du
    http://arxiv.org/abs/2008.12763v1

    • [cs.DB]The Impact of Discretization Method on the Detection of Six Types of Anomalies in Datasets
    Ralph Foorthuis
    http://arxiv.org/abs/2008.12330v1

    • [cs.DC]A Dynamic Load Balancing Algorithm for Distributing Mobile Codes in Multi-Applications and Multi-Hosts Environment
    Nevin Vunka Jungum, Nawaz Mohamudally, Nimal Nissanke
    http://arxiv.org/abs/2008.12385v1

    • [cs.DC]Coffea — Columnar Object Framework For Effective Analysis
    Nicholas Smith, Lindsey Gray, Matteo Cremonesi, Bo Jayatilaka, Oliver Gutsche, Allison Hall, Kevin Pedro, Maria Acosta, Andrew Melo, Stefano Belforte, Jim Pivarski
    http://arxiv.org/abs/2008.12712v1

    • [cs.DC]GOSH: Embedding Big Graphs on Small Hardware
    Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya
    http://arxiv.org/abs/2008.12336v1

    • [cs.DC]SAF: Simulated Annealing Fair Scheduling for Hadoop Yarn Clusters
    Mahsa Ghanavatinasab, Mastaneh Bahmani, Reza Azmi
    http://arxiv.org/abs/2008.12586v1

    • [cs.DC]Work-Efficient Parallel Algorithms for Predicate Detection
    Rohan Garg
    http://arxiv.org/abs/2008.12516v1

    • [cs.DS]Differentially Private Clustering via Maximum Coverage
    Matthew Jones, Huy Lê Nguyen, Thy Nguyen
    http://arxiv.org/abs/2008.12388v1

    • [cs.HC]A survey on applications of augmented, mixed and virtual reality for nature and environment
    Jason Rambach, Gergana Lilligreen, Alexander Schäfer, Ramya Bankanal, Alexander Wiebel, Didier Stricker
    http://arxiv.org/abs/2008.12024v2

    • [cs.HC]How Researchers Use Diagrams in Communicating Neural Network Systems
    Guy Clarke Marshall, André Freitas, Caroline Jay
    http://arxiv.org/abs/2008.12566v1

    • [cs.HC]Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
    Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan
    http://arxiv.org/abs/2008.12735v1

    • [cs.HC]The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays
    Alexandra Lee, Daniel Archambault, Miguel A. Nacenta
    http://arxiv.org/abs/2008.12747v1

    • [cs.IT]A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer
    Onel L. A. López, Francisco A. Monteiro, Hirley Alves, Rui Zhang, Matti Latva-aho
    http://arxiv.org/abs/2008.12507v1

    • [cs.IT]Bandwidth Cost of Code Conversions in Distributed Storage: Fundamental Limits and Optimal Constructions
    Francisco Maturana, K. V. Rashmi
    http://arxiv.org/abs/2008.12707v1

    • [cs.IT]Gridless Multidimensional Angle of Arrival Estimation for Arbitrary 3D Antenna Arrays
    Matilde Sánchez-Fernández, Vahid Jamali, Jaime Llorca, Antonia Tulino
    http://arxiv.org/abs/2008.12323v1

    • [cs.IT]Power Control for ISI Mitigation in Mobile Molecular Communication
    Dongliang Jing, Yongzhao Li, Andrew W. Eckford
    http://arxiv.org/abs/2008.12368v1

    • [cs.LG]A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset
    Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta
    http://arxiv.org/abs/2008.12335v1

    • [cs.LG]Adversarially Robust Learning via Entropic Regularization
    Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
    http://arxiv.org/abs/2008.12338v1

    • [cs.LG]An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
    Genggeng Liu, Canyang Guo, Lin Xie, Wenxi Liu, Naixue Xiong, Guolong Chen
    http://arxiv.org/abs/2008.12522v1

    • [cs.LG]Certainty Equivalent Perception-Based Control
    Sarah Dean, Benjamin Recht
    http://arxiv.org/abs/2008.12332v1

    • [cs.LG]Collaborative Fairness in Federated Learning
    Lingjuan Lyu, Xinyi Xu, Qian Wang
    http://arxiv.org/abs/2008.12161v2

    • [cs.LG]Continuous Regularized Wasserstein Barycenters
    Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon
    http://arxiv.org/abs/2008.12534v1

    • [cs.LG]Controlling Level of Unconsciousness with Deep Reinforcement Learning
    Gabe Schamberg, Marcus Badgeley, Emery N. Brown
    http://arxiv.org/abs/2008.12333v1

    • [cs.LG]Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
    Niharika Shimona D’Souza, Mary Beth Nebel, Deana Crocetti, Nicholas Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman
    http://arxiv.org/abs/2008.12410v1

    • [cs.LG]Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks
    Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash
    http://arxiv.org/abs/2008.12767v1

    • [cs.LG]Dynamical Variational Autoencoders: A Comprehensive Review
    Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
    http://arxiv.org/abs/2008.12595v1

    • [cs.LG]Efficiently Solving MDPs with Stochastic Mirror Descent
    Yujia Jin, Aaron Sidford
    http://arxiv.org/abs/2008.12776v1

    • [cs.LG]Fast Partial Fourier Transform
    Yong-chan Park, Jun-Gi Jang, U Kang
    http://arxiv.org/abs/2008.12559v1

    • [cs.LG]Forecasting with Multiple Seasonality
    Tianyang Xie, Jie Ding
    http://arxiv.org/abs/2008.12340v1

    • [cs.LG]Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
    Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis
    http://arxiv.org/abs/2008.12578v1

    • [cs.LG]Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography
    Waheeda Saib, David Sengeh, Gcininwe Dlamini, Elvira Singh
    http://arxiv.org/abs/2008.12571v1

    • [cs.LG]Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
    Fei Ye, Pin Wang, Ching-Yao Chan, Jiucai Zhang
    http://arxiv.org/abs/2008.12451v1

    • [cs.LG]On the model-based stochastic value gradient for continuous reinforcement learning
    Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
    http://arxiv.org/abs/2008.12775v1

    • [cs.LG]Predicting Training Time Without Training
    Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
    http://arxiv.org/abs/2008.12478v1

    • [cs.LG]Predicting conversions in display advertising based on URL embeddings
    Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis
    http://arxiv.org/abs/2008.12003v2

    • [cs.LG]RKT : Relation-Aware Self-Attention for Knowledge Tracing
    Shalini Pandey, Jaideep Srivastava
    http://arxiv.org/abs/2008.12736v1

    • [cs.LG]Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
    Trevor A. McInroe
    http://arxiv.org/abs/2008.12693v1

    • [cs.LG]Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection
    Yang Chen, Nami Ashizawa, Seanglidet Yean, Chai Kiat Yeo, Naoto Yanai
    http://arxiv.org/abs/2008.12686v1

    • [cs.LG]Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction
    Wenchong He, Zhe Jiang
    http://arxiv.org/abs/2008.12442v1

    • [cs.LG]Temporal Random Indexing of Context Vectors Applied to Event Detection
    Yashank Singh, Niladri Chatterjee
    http://arxiv.org/abs/2008.12552v1

    • [cs.LG]The UU-test for Statistical Modeling of Unimodal Data
    Paraskevi Chasani, Aristidis Likas
    http://arxiv.org/abs/2008.12537v1

    • [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/2008.12284v2

    • [cs.MA]Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance
    Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein Abbass
    http://arxiv.org/abs/2008.12708v1

    • [cs.MM]Rate distortion optimization over large scale video corpus with machine learning
    Sam John, Akshay Gadde, Balu Adsumilli
    http://arxiv.org/abs/2008.12408v1

    • [cs.RO]Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
    Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund
    http://arxiv.org/abs/2008.12610v1

    • [cs.RO]Comparison Between Genetic Fuzzy Methodology and Q-learning for Collaborative Control Design
    Anoop Sathyan, Kelly Cohen, Ou Ma
    http://arxiv.org/abs/2008.12678v1

    • [cs.RO]Long-term map maintenance pipeline for autonomous vehicles
    Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo Nebot
    http://arxiv.org/abs/2008.12449v1

    • [cs.RO]Online Dynamic Trajectory Optimization and Control for a QuadrupedRobot
    Oguzhan Cebe, Carlo Tiseo, Guiyang Xin, Hsiu-chin Lin, Joshua Smith, Michael Mistry
    http://arxiv.org/abs/2008.12687v1

    • [cs.RO]Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution
    Saber Elsayed, Hemant Singh, Essam Debie, Anthony Perry, Benjamin Campbell, Robert Hunjet, Hussein Abbass
    http://arxiv.org/abs/2008.12639v1

    • [cs.RO]iviz: A ROS Visualization App for Mobile Devices
    Antonio Zea, Uwe D. Hanebeck
    http://arxiv.org/abs/2008.12725v1

    • [cs.SE]Type-driven Neural Programming by Example
    Kiara Grouwstra
    http://arxiv.org/abs/2008.12613v1

    • [cs.SI]CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
    Ece Çiğdem Mutlu, Amirarsalan Rajabi, Ivan Garibay
    http://arxiv.org/abs/2008.12723v1

    • [cs.SI]Decoupled Variational Embedding for Signed Directed Networks
    Xu Chen, Jiangchao Yao, Maosen Li, Ya zhang, Yanfeng Wang
    http://arxiv.org/abs/2008.12450v1

    • [cs.SI]Evolution of Real-world Hypergraphs: Patterns and Models without Oracles
    Yunbum Kook, Jihoon Ko, Kijung Shin
    http://arxiv.org/abs/2008.12729v1

    • [cs.SI]Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques
    Taehyun Kim, Hyomin Shin, Hyung Ju Hwang, Seungwon Jeong
    http://arxiv.org/abs/2008.12471v1

    • [cs.SI]Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
    Md Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam
    http://arxiv.org/abs/2008.12435v1

    • [econ.EM]Efficient closed-form estimation of large spatial autoregressions
    Abhimanyu Gupta
    http://arxiv.org/abs/2008.12395v1

    • [econ.EM]How is Machine Learning Useful for Macroeconomic Forecasting?
    Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic, Stéphane Surprenant
    http://arxiv.org/abs/2008.12477v1

    • [econ.EM]Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs
    Florian Huber, Gary Koop, Luca Onorante, Michael Pfarrhofer, Josef Schreiner
    http://arxiv.org/abs/2008.12706v1

    • [eess.IV]Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
    J. Senapati, A. Guha Roy, S. Poelsterl, D. Gutmann, S. Gatidis, C. Schlett, A. Peters, F. Bamberg, C. Wachinger
    http://arxiv.org/abs/2008.12680v1

    • [eess.IV]CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
    Dimitris Perdios, Manuel Vonlanthen, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran
    http://arxiv.org/abs/2008.12750v1

    • [eess.IV]DALE : Dark Region-Aware Low-light Image Enhancement
    Dokyeong Kwon, Guisik Kim, Junseok Kwon
    http://arxiv.org/abs/2008.12493v1

    • [eess.IV]Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning
    Ali Akbar Septiandri, Ade Jamal, Pritta Ameilia Iffanolida, Oki Riayati, Budi Wiweko
    http://arxiv.org/abs/2008.12480v1

    • [eess.IV]Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
    Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugenie Hunsicker
    http://arxiv.org/abs/2008.12371v1

    • [eess.IV]Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery
    Ezgi Demircan-Tureyen, Mustafa E. Kamasak
    http://arxiv.org/abs/2008.12505v1

    • [eess.IV]On the Reliability of the PNU for Source Camera Identification Tasks
    Andrea Bruno, Giuseppe Cattaneo, Paola Capasso
    http://arxiv.org/abs/2008.12700v1

    • [eess.IV]PCB Defect Detection Using Denoising Convolutional Autoencoders
    Saeed Khalilian, Yeganeh Hallaj, Arian Balouchestani, Hossein Karshenas, Amir Mohammadi
    http://arxiv.org/abs/2008.12589v1

    • [eess.IV]Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
    Theresa Neubauer, Maria Wimmer, Astrid Berg, David Major, Dimitrios Lenis, Thomas Beyer, Jelena Saponjski, Katja Bühler
    http://arxiv.org/abs/2008.12544v1

    • [eess.IV]W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
    Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Micheal Galeotti
    http://arxiv.org/abs/2008.12413v1

    • [eess.SP]On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
    Melih C. Yesilli, Firas A. Khasawneh
    http://arxiv.org/abs/2008.12691v1

    • [math.NA]Distributed-memory $\mathcal{H}$-matrix Algebra I: Data Distribution and Matrix-vector Multiplication
    Yingzhou Li, Jack Poulson, Lexing Ying
    http://arxiv.org/abs/2008.12441v1

    • [math.OC]Control On the Manifolds Of Mappings As a Setting For Deep Learning
    Andrei Agrachev, Andrey Sarychev
    http://arxiv.org/abs/2008.12702v1

    • [math.OC]ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
    Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan
    http://arxiv.org/abs/2008.12690v1

    • [math.PR]Drift estimation of the threshold Ornstein-Uhlenbeck process from continuous and discrete observations
    Sara Mazzonetto, Paolo Pigato
    http://arxiv.org/abs/2008.12653v1

    • [math.ST]An optimal linear filter for estimation of random functions in Hilbert space
    Phil Howlett, Anatoli Totokhti
    http://arxiv.org/abs/2008.12485v1

    • [math.ST]Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data
    Farhad Farokhi
    http://arxiv.org/abs/2008.12466v1

    • [math.ST]On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix
    T. Tony Cai, Rungang Han, Anru R. Zhang
    http://arxiv.org/abs/2008.12434v1

    • [math.ST]Second Moment Estimator for an AR(1) Model Driven by a Long Memory Gaussian Noise
    Li Tian
    http://arxiv.org/abs/2008.12443v1

    • [nlin.AO]Causal blankets: Theory and algorithmic framework
    Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani
    http://arxiv.org/abs/2008.12568v1

    • [physics.comp-ph]A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures
    Majid Ashouri, Alireza Hashemi
    http://arxiv.org/abs/2008.12483v1

    • [physics.comp-ph]Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition
    Joshua Hanson, Pavel Bochev, Biliana Paskaleva
    http://arxiv.org/abs/2008.12319v1

    • [physics.soc-ph]Complexity science approach to economic crime
    János Kertész, Johannes Wachs
    http://arxiv.org/abs/2008.12364v1

    • [q-bio.BM]Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity
    Xianggen Liu, Yunan Luo, Sen Song, Jian Peng
    http://arxiv.org/abs/2008.12473v1

    • [quant-ph]Blind information reconciliation with polar codes for quantum key distribution
    E. O. Kiktenko, A. O. Malyshev, A. K. Fedorov
    http://arxiv.org/abs/2008.12299v1

    • [quant-ph]Trade-offs on number and phase shift resilience in bosonic quantum codes
    Yingkai Ouyang, Earl Campbell
    http://arxiv.org/abs/2008.12576v1

    • [stat.CO]A Simple Algorithm for Exact Multinomial Tests
    Johannes Resin
    http://arxiv.org/abs/2008.12682v1

    • [stat.ME]A Note on Debiased/Double Machine Learning Logistic Partially Linear Model
    Molei Liu
    http://arxiv.org/abs/2008.12467v1

    • [stat.ME]A copula transformation in multivariate mixed discrete-continuous models
    Jae Youn Ahn, Sebastian Fuchs, Rosy Oh
    http://arxiv.org/abs/2008.12411v1

    • [stat.ME]Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints
    Tianyu Zhan, Yiwang Zhou, Ziqian Geng, Yihua Gu, Jian Kang, Li Wang, Xiaohong Huang, Elizabeth H. Slate
    http://arxiv.org/abs/2008.12774v1

    • [stat.ML]BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
    Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile
    http://arxiv.org/abs/2008.12504v1

    • [stat.ML]Exact and Approximation Algorithms for Sparse PCA
    Yongchun Li, Weijun Xie
    http://arxiv.org/abs/2008.12438v1

    • [stat.ML]Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach
    Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2008.12315v1

    • [stat.ML]agtboost: Adaptive and Automatic Gradient Tree Boosting Computations
    Berent Ånund Strømnes Lunde, Tore Selland Kleppe
    http://arxiv.org/abs/2008.12625v1