cs.AI - 人工智能
cs.CG - 计算几何学 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.IR - 信息检索 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 eess.AS - 语音处理 eess.IV - 图像与视频处理 math.DS - 动力系统 math.ST - 统计理论 q-bio.NC - 神经元与认知 q-fin.RM - 风险管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
• [cs.AI]Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents
• [cs.AI]Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm
• [cs.AI]Seeding the Singularity for A.I
• [cs.CG]Stress-Plus-X (SPX) Graph Layout
• [cs.CL]Co-Attention Based Neural Network for Source-Dependent Essay Scoring
• [cs.CL]Dialog State Tracking: A Neural Reading Comprehension Approach
• [cs.CL]Dialogue Act Classification in Group Chats with DAG-LSTMs
• [cs.CL]Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0
• [cs.CL]Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
• [cs.CL]Self-Balanced Dropout
• [cs.CL]Self-Knowledge Distillation in Natural Language Processing
• [cs.CL]Word Embedding for Response-To-Text Assessment of Evidence
• [cs.CL]eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
• [cs.CR]TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
• [cs.CR]Who’s Tracking Sensitive Domains?
• [cs.CV]Addressing Data Bias Problems for Chest X-ray Image Report Generation
• [cs.CV]Aligning Linguistic Words and Visual Semantic Units for Image Captioning
• [cs.CV]Answering Questions about Data Visualizations using Efficient Bimodal Fusion
• [cs.CV]Attention Control with Metric Learning Alignment for Image Set-based Recognition
• [cs.CV]AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
• [cs.CV]Attract or Distract: Exploit the Margin of Open Set
• [cs.CV]Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition
• [cs.CV]Consensus Maximization Tree Search Revisited
• [cs.CV]Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
• [cs.CV]Deep Self-Learning From Noisy Labels
• [cs.CV]Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge
• [cs.CV]Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
• [cs.CV]Full-Stack Filters to Build Minimum Viable CNNs
• [cs.CV]Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces
• [cs.CV]Hybrid Camera Pose Estimation with Online Partitioning
• [cs.CV]Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
• [cs.CV]Live Illumination Decomposition of Videos
• [cs.CV]Logic could be learned from images
• [cs.CV]MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
• [cs.CV]Multi-view Deep Subspace Clustering Networks
• [cs.CV]Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning
• [cs.CV]Neural Blind Deconvolution Using Deep Priors
• [cs.CV]REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
• [cs.CV]Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
• [cs.CV]Semi-Automatic Labeling for Deep Learning in Robotics
• [cs.CV]Semi-Supervised Adversarial Monocular Depth Estimation
• [cs.CV]Semi-supervised Skin Detection by Network with Mutual Guidance
• [cs.CV]Symmetry-constrained Rectification Network for Scene Text Recognition
• [cs.CV]Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
• [cs.CV]Unsupervised Representations of Pollen in Bright-Field Microscopy
• [cs.CV]ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
• [cs.CV]View N-gram Network for 3D Object Retrieval
• [cs.CY]Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
• [cs.CY]Above the Clouds: A Brief Survey
• [cs.CY]Backronym
• [cs.CY]Industrial Artificial Intelligence
• [cs.CY]Knowledge Query Network: How Knowledge Interacts with Skills
• [cs.DC]Blockchain Consensus Formation while Solving Optimization Problems
• [cs.DC]Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition
• [cs.DC]Revisiting consensus protocols through wait-free parallelization
• [cs.DC]The Capacity of Smartphone Peer-to-Peer Networks
• [cs.DC]The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain
• [cs.DC]Wait-Free Universality of Consensus in the Infinite Arrival Model
• [cs.IR]Local versus Global Strategies in Social Query Expansion
• [cs.IR]On the Merge of k-NN Graph
• [cs.IR]Unsupervised Context Retrieval for Long-tail Entities
• [cs.LG]Animal Wildlife Population Estimation Using Social Media Images Collections
• [cs.LG]Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
• [cs.LG]BlurNet: Defense by Filtering the Feature Maps
• [cs.LG]Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
• [cs.LG]Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
• [cs.LG]Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
• [cs.LG]Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
• [cs.LG]Hermitian matrices for clustering directed graphs: insights and applications
• [cs.LG]Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications
• [cs.LG]Model inference for Ordinary Differential Equations by parametric polynomial kernel regression
• [cs.LG]Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning
• [cs.LG]Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior
• [cs.LG]Sparse hierarchical representation learning on molecular graphs
• [cs.MM]Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
• [cs.NE]Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks
• [cs.PF]Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
• [cs.RO]Design, Modeling, and Control of Norma: a Slider & Pendulum-Driven Spherical Robot
• [cs.RO]DoorGym: A Scalable Door Opening Environment And Baseline Agent
• [cs.RO]Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight
• [cs.RO]Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps
• [cs.RO]Jenny 5 — the robot
• [cs.RO]NAVARO II, a Novel Scissor-Based Planar Parallel Robot 1
• [cs.RO]Preliminary design of a device to assist handwriting in children with movement disorders
• [cs.RO]Representing Robot Task Plans as Robust Logical-Dynamical Systems
• [cs.RO]Towards Active Robotic Vision in Agriculture: A Deep Learning Approach to Visual Servoing in Occluded and Unstructured Protected Cropping Environments
• [eess.AS]Practical Speech Recognition with HTK
• [eess.AS]Probabilistic Permutation Invariant Training for Speech Separation
• [eess.IV]An attempt at beating the 3D U-Net
• [eess.IV]Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
• [eess.IV]Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging
• [math.DS]Koopman Representations of Dynamic Systems with Control
• [math.ST]Bound on FWER for correlated normal distribution
• [math.ST]Characterizations of Two-Points and Other Related Distributions
• [math.ST]On estimation and prediction in spatial functional linear regression model
• [math.ST]Optimal Sliced Latin Hypercube Designs with Slices of Arbitrary Run Sizes
• [q-bio.NC]Neuroscience-inspired online unsupervised learning algorithms
• [q-fin.RM]Stochastic ordering of Gini indexes for multivariate elliptical random variables
• [stat.AP]Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets
• [stat.AP]Second-order Control of Complex Systems with Correlated Synthetic Data
• [stat.ME]Change-point detection in dynamic networks via graphon estimation
• [stat.ME]Does Preliminary Model Checking Help With Subsequent Inference? A Review And A New Result
• [stat.ME]Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections
• [stat.ME]Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data
• [stat.ML]Bayesian Batch Active Learning as Sparse Subset Approximation
• [stat.ML]On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond
• [stat.ML]Policy Evaluation with Latent Confounders via Optimal Balance
• [stat.ML]Some Developments in Clustering Analysis on Stochastic Processes
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• [cs.AI]Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis
http://arxiv.org/abs/1908.02047v1
• [cs.AI]Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents
Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez
http://arxiv.org/abs/1908.02037v1
• [cs.AI]Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm
Elad I. Farhi, Vadim Indelman
http://arxiv.org/abs/1908.02002v1
• [cs.AI]Seeding the Singularity for A.I
Pavel Kraikivski
http://arxiv.org/abs/1908.01766v1
• [cs.CG]Stress-Plus-X (SPX) Graph Layout
Sabin Devkota, Reyan Ahmed, Felice De Luca, Kate Isaacs, Stephen Kobourov
http://arxiv.org/abs/1908.01769v1
• [cs.CL]Co-Attention Based Neural Network for Source-Dependent Essay Scoring
Haoran Zhang, Diane Litman
http://arxiv.org/abs/1908.01993v1
• [cs.CL]Dialog State Tracking: A Neural Reading Comprehension Approach
Shuyang Gao, Abhishek Sethi, Sanchit Aggarwal, Tagyoung Chung, Dilek Hakkani-Tur
http://arxiv.org/abs/1908.01946v1
• [cs.CL]Dialogue Act Classification in Group Chats with DAG-LSTMs
Ozan İrsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz
http://arxiv.org/abs/1908.01821v1
• [cs.CL]Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0
Suhas Gupta, Eric Hulburd
http://arxiv.org/abs/1908.01767v1
• [cs.CL]Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
Aarne Talman, Antti Suni, Hande Celikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio
http://arxiv.org/abs/1908.02262v1
• [cs.CL]Self-Balanced Dropout
Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu
http://arxiv.org/abs/1908.01968v1
• [cs.CL]Self-Knowledge Distillation in Natural Language Processing
Sangchul Hahn, Heeyoul Choi
http://arxiv.org/abs/1908.01851v1
• [cs.CL]Word Embedding for Response-To-Text Assessment of Evidence
Haoran Zhang, Diane Litman
http://arxiv.org/abs/1908.01969v1
• [cs.CL]eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
Haoran Zhang, Ahmed Magooda, Diane Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana
http://arxiv.org/abs/1908.01992v1
• [cs.CR]TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song
http://arxiv.org/abs/1908.01763v1
• [cs.CR]Who’s Tracking Sensitive Domains?
Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris
http://arxiv.org/abs/1908.02261v1
• [cs.CV]Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig, Yan-Ying Chen, Francine Chen, Rainer Lienhart
http://arxiv.org/abs/1908.02123v1
• [cs.CV]Aligning Linguistic Words and Visual Semantic Units for Image Captioning
Longteng Guo, Jing Liu, Jinhui Tang, Jiangwei Li, Wei Luo, Hanqing Lu
http://arxiv.org/abs/1908.02127v1
• [cs.CV]Answering Questions about Data Visualizations using Efficient Bimodal Fusion
Kushal Kafle, Robik Shrestha, Brian Price, Scott Cohen, Christopher Kanan
http://arxiv.org/abs/1908.01801v1
• [cs.CV]Attention Control with Metric Learning Alignment for Image Set-based Recognition
Xiaofeng Liu, Zhenhua Guo, Jane You, B. V. K Vijaya Kumar
http://arxiv.org/abs/1908.01872v1
• [cs.CV]AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz-Demir
http://arxiv.org/abs/1908.02095v1
• [cs.CV]Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang
http://arxiv.org/abs/1908.01925v1
• [cs.CV]Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition
Veeru Talreja, Fariborz Taherkhani, Matthew C Valenti, Nasser M Nasrabadi
http://arxiv.org/abs/1908.01790v1
• [cs.CV]Consensus Maximization Tree Search Revisited
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
http://arxiv.org/abs/1908.02021v1
• [cs.CV]Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
Zixuan Chen, Huajun Zhou, Xiaohua Xie, Jianhuang Lai
http://arxiv.org/abs/1908.01975v1
• [cs.CV]Deep Self-Learning From Noisy Labels
Jiangfan Han, Ping Luo, Xiaogang Wang
http://arxiv.org/abs/1908.02160v1
• [cs.CV]Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge
Yanlin Qian, Ke Chen, Huanglin Yu
http://arxiv.org/abs/1908.02076v1
• [cs.CV]Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan, Wei Zhuo, Yu-Wing Tai
http://arxiv.org/abs/1908.01998v1
• [cs.CV]Full-Stack Filters to Build Minimum Viable CNNs
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
http://arxiv.org/abs/1908.02023v1
• [cs.CV]Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces
Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro
http://arxiv.org/abs/1908.02013v1
• [cs.CV]Hybrid Camera Pose Estimation with Online Partitioning
Xinyi Li, Haibin Ling
http://arxiv.org/abs/1908.01797v1
• [cs.CV]Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu
http://arxiv.org/abs/1908.02231v1
• [cs.CV]Live Illumination Decomposition of Videos
Abhimitra Meka, Mohammad Shafiei, Michael Zollhoefer, Christian Richardt, Christian Theobalt
http://arxiv.org/abs/1908.01961v1
• [cs.CV]Logic could be learned from images
Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang
http://arxiv.org/abs/1908.01931v1
• [cs.CV]MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Junhai Yong, Dan Zeng
http://arxiv.org/abs/1908.02199v1
• [cs.CV]Multi-view Deep Subspace Clustering Networks
Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu
http://arxiv.org/abs/1908.01978v1
• [cs.CV]Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning
Rui Wang, XiaoJun Wu, Josef Kittler
http://arxiv.org/abs/1908.01950v1
• [cs.CV]Neural Blind Deconvolution Using Deep Priors
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
http://arxiv.org/abs/1908.02197v1
• [cs.CV]REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Peng Zhang, Xinyu Zhu, Zhanzhan Cheng, Shuigeng Zhou, Yi Niu
http://arxiv.org/abs/1908.01962v1
• [cs.CV]Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
Jerin Geo James, Pranay Agrawal, Ajit Rajwade
http://arxiv.org/abs/1908.01940v1
• [cs.CV]Semi-Automatic Labeling for Deep Learning in Robotics
Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano
http://arxiv.org/abs/1908.01862v1
• [cs.CV]Semi-Supervised Adversarial Monocular Depth Estimation
Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo
http://arxiv.org/abs/1908.02126v1
• [cs.CV]Semi-supervised Skin Detection by Network with Mutual Guidance
Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang
http://arxiv.org/abs/1908.01977v1
• [cs.CV]Symmetry-constrained Rectification Network for Scene Text Recognition
MingKun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai
http://arxiv.org/abs/1908.01957v1
• [cs.CV]Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
Xuanyi Dong, Yi Yang
http://arxiv.org/abs/1908.02116v1
• [cs.CV]Unsupervised Representations of Pollen in Bright-Field Microscopy
Peter He, Gerard Glowacki, Alexis Gkantiragas
http://arxiv.org/abs/1908.01866v1
• [cs.CV]ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
http://arxiv.org/abs/1908.02265v1
• [cs.CV]View N-gram Network for 3D Object Retrieval
Xinwei He, Tengteng Huang, Song Bai, Xiang Bai
http://arxiv.org/abs/1908.01958v1
• [cs.CY]Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
Dennis Banga, Peter Waiganjo
http://arxiv.org/abs/1908.02170v1
• [cs.CY]Above the Clouds: A Brief Survey
Ananga Thapaliya, Subham Chakraborty
http://arxiv.org/abs/1908.02124v1
• [cs.CY]Backronym
Arip Asadulaev
http://arxiv.org/abs/1908.01874v1
• [cs.CY]Industrial Artificial Intelligence
Jay Lee, Jaskaran Singh, Moslem Azamfar
http://arxiv.org/abs/1908.02150v1
• [cs.CY]Knowledge Query Network: How Knowledge Interacts with Skills
Jinseok Lee, Dit-Yan Yeung
http://arxiv.org/abs/1908.02146v1
• [cs.DC]Blockchain Consensus Formation while Solving Optimization Problems
Naoki Shibata
http://arxiv.org/abs/1908.01915v1
• [cs.DC]Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition
Leo Souquet, Amir Nakib
http://arxiv.org/abs/1908.02149v1
• [cs.DC]Revisiting consensus protocols through wait-free parallelization
Suyash Gupta, Jelle Hellings, Mohammad Sadoghi
http://arxiv.org/abs/1908.01458v2
• [cs.DC]The Capacity of Smartphone Peer-to-Peer Networks
Michael Dinitz, Magnús M. Halldórsson, Calvin Newport, Alex Weaver
http://arxiv.org/abs/1908.01894v1
• [cs.DC]The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain
János Végh
http://arxiv.org/abs/1908.02280v1
• [cs.DC]Wait-Free Universality of Consensus in the Infinite Arrival Model
Grégoire Bonin, Achour Mostéfaoui, Matthieu Perrin
http://arxiv.org/abs/1908.02063v1
• [cs.IR]Local versus Global Strategies in Social Query Expansion
Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay
http://arxiv.org/abs/1908.01868v1
• [cs.IR]On the Merge of k-NN Graph
Peng-Cheng Lin, Wan-Lei Zhao
http://arxiv.org/abs/1908.00814v2
• [cs.IR]Unsupervised Context Retrieval for Long-tail Entities
Darío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog
http://arxiv.org/abs/1908.01798v1
• [cs.LG]Animal Wildlife Population Estimation Using Social Media Images Collections
Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Berger-Wolf
http://arxiv.org/abs/1908.01875v1
• [cs.LG]Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
http://arxiv.org/abs/1908.02172v1
• [cs.LG]BlurNet: Defense by Filtering the Feature Maps
Ravi Raju, Mikko Lipasti
http://arxiv.org/abs/1908.02256v1
• [cs.LG]Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, Ali Etemad
http://arxiv.org/abs/1908.02252v1
• [cs.LG]Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
http://arxiv.org/abs/1908.01842v1
• [cs.LG]Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
Charles B. Delahunt, Mayoore S. Jaiswal, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun, Roman Gebrehiwot, Benjamin K. Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian
http://arxiv.org/abs/1908.01901v1
• [cs.LG]Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer
http://arxiv.org/abs/1908.01022v1
• [cs.LG]Hermitian matrices for clustering directed graphs: insights and applications
Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti
http://arxiv.org/abs/1908.02096v1
• [cs.LG]Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications
Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang
http://arxiv.org/abs/1908.01878v1
• [cs.LG]Model inference for Ordinary Differential Equations by parametric polynomial kernel regression
David K. E. Green, Filip Rindler
http://arxiv.org/abs/1908.02105v1
• [cs.LG]Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning
Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher Pal
http://arxiv.org/abs/1908.02269v1
• [cs.LG]Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior
Stevan Tomic, Federico Pecora, Alessandro Saffiotti
http://arxiv.org/abs/1908.02138v1
• [cs.LG]Sparse hierarchical representation learning on molecular graphs
Matthias Bal, Hagen Triendl, Mariana Assmann, Michael Craig, Lawrence Phillips, Jarvist Moore Frost, Usman Bashir, Noor Shaker, Vid Stojevic
http://arxiv.org/abs/1908.02065v1
• [cs.MM]Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun
http://arxiv.org/abs/1908.02270v1
• [cs.NE]Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks
Joseph Marvin Imperial, Jeyrome Orosco, Shiela Mae Mazo, Lany Maceda
http://arxiv.org/abs/1908.01765v1
• [cs.PF]Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
http://arxiv.org/abs/1908.01924v1
• [cs.RO]Design, Modeling, and Control of Norma: a Slider & Pendulum-Driven Spherical Robot
Saeed Moazami, M-Mahdi Naddaf-Sh, Srinivas Palanki, Hassan Zargarzadeh
http://arxiv.org/abs/1908.02243v1
• [cs.RO]DoorGym: A Scalable Door Opening Environment And Baseline Agent
Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel
http://arxiv.org/abs/1908.01887v1
• [cs.RO]Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight
Marius Beul, Sven Behnke
http://arxiv.org/abs/1908.02028v1
• [cs.RO]Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps
Alexander Millane, Helen Oleynikova, Juan Nieto, Roland Siegwart, César Cadena
http://arxiv.org/abs/1908.01863v1
• [cs.RO]Jenny 5 — the robot
Mihai Oltean
http://arxiv.org/abs/1908.01826v1
• [cs.RO]NAVARO II, a Novel Scissor-Based Planar Parallel Robot 1
Damien Chablat, Luc Rolland
http://arxiv.org/abs/1908.02090v1
• [cs.RO]Preliminary design of a device to assist handwriting in children with movement disorders
Gabrielle Lemire, Thierry Laliberté, Katia Turcot, Véronique Flamand, Alexandre Campeau-Lecours
http://arxiv.org/abs/1908.02221v1
• [cs.RO]Representing Robot Task Plans as Robust Logical-Dynamical Systems
Chris Paxton, Nathan Ratliff, Clemens Eppner, Dieter Fox
http://arxiv.org/abs/1908.01896v1
• [cs.RO]Towards Active Robotic Vision in Agriculture: A Deep Learning Approach to Visual Servoing in Occluded and Unstructured Protected Cropping Environments
Paul Zapotezny-Anderson, Chris Lehnert
http://arxiv.org/abs/1908.01885v1
• [eess.AS]Practical Speech Recognition with HTK
Zulkarnaen Hatala
http://arxiv.org/abs/1908.02119v1
• [eess.AS]Probabilistic Permutation Invariant Training for Speech Separation
Midia Yousefi, Soheil Khorram, John H. L. Hansen
http://arxiv.org/abs/1908.01768v1
• [eess.IV]An attempt at beating the 3D U-Net
Fabian Isensee, Klaus H. Maier-Hein
http://arxiv.org/abs/1908.02182v1
• [eess.IV]Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
http://arxiv.org/abs/1908.01997v1
• [eess.IV]Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
http://arxiv.org/abs/1908.02054v1
• [math.DS]Koopman Representations of Dynamic Systems with Control
Craig Bakker, Steven Rosenthal, Kathleen E. Nowak
http://arxiv.org/abs/1908.02233v1
• [math.ST]Bound on FWER for correlated normal distribution
Nabaneet Das, Subir K. Bhandari
http://arxiv.org/abs/1908.02193v1
• [math.ST]Characterizations of Two-Points and Other Related Distributions
Lev Klebanov
http://arxiv.org/abs/1908.01865v1
• [math.ST]On estimation and prediction in spatial functional linear regression model
Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet
http://arxiv.org/abs/1908.02143v1
• [math.ST]Optimal Sliced Latin Hypercube Designs with Slices of Arbitrary Run Sizes
Jing Zhang, Jin Xu, Kai Jia, Yimin Yin, Zhengming Wang
http://arxiv.org/abs/1908.01976v1
• [q-bio.NC]Neuroscience-inspired online unsupervised learning algorithms
Cengiz Pehlevan, Dmitri B. Chklovskii
http://arxiv.org/abs/1908.01867v1
• [q-fin.RM]Stochastic ordering of Gini indexes for multivariate elliptical random variables
Chuancun Yin
http://arxiv.org/abs/1908.01943v1
• [stat.AP]Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets
Vivek Srikrishnan, Yawen Guan, Richard S. J. Tol, Klaus Keller
http://arxiv.org/abs/1908.01923v1
• [stat.AP]Second-order Control of Complex Systems with Correlated Synthetic Data
Juste Raimbault
http://arxiv.org/abs/1908.02034v1
• [stat.ME]Change-point detection in dynamic networks via graphon estimation
Zifeng Zhao, Li Chen, Lizhen Lin
http://arxiv.org/abs/1908.01823v1
• [stat.ME]Does Preliminary Model Checking Help With Subsequent Inference? A Review And A New Result
M. Iqbal Shamsudheen, Christian Hennig
http://arxiv.org/abs/1908.02218v1
• [stat.ME]Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections
Martin Tveten, Ingrid K. Glad
http://arxiv.org/abs/1908.02029v1
• [stat.ME]Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data
Nir Billfeld, Moshe Kim
http://arxiv.org/abs/1908.02166v1
• [stat.ML]Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler, Jonathan Gordon, Eric Nalisnick, José Miguel Hernández-Lobato
http://arxiv.org/abs/1908.02144v1
• [stat.ML]On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond
Xiao-Tong Yuan, Ping Li
http://arxiv.org/abs/1908.02246v1
• [stat.ML]Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett, Nathan Kallus
http://arxiv.org/abs/1908.01920v1
• [stat.ML]Some Developments in Clustering Analysis on Stochastic Processes
Qidi Peng, Nan Rao, Ran Zhao
http://arxiv.org/abs/1908.01794v1