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