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