astro-ph.CO - 宇宙学和天体物理学

    astro-ph.EP - 地球与行星天体 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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 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 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AC - 交换代数 math.CO - 组合数学 math.FA - 泛函演算 math.HO - 历史与概述 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.optics - 光学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
    • [astro-ph.EP]Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis
    • [cs.AI]Commonsense ReasoningUsing WordNet and SUMO: a Detailed Analysis
    • [cs.AI]No Press Diplomacy: Modeling Multi-Agent Gameplay
    • [cs.AI]Semantically-Regularized Logic Graph Embeddings
    • [cs.CL]A Discussion on Influence of Newspaper Headlines on Social Media
    • [cs.CL]A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
    • [cs.CL]Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network
    • [cs.CL]Adversarial Examples with Difficult Common Words for Paraphrase Identification
    • [cs.CL]An Entity-Driven Framework for Abstractive Summarization
    • [cs.CL]An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
    • [cs.CL]Automated Let’s Play Commentary
    • [cs.CL]Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank
    • [cs.CL]Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
    • [cs.CL]Distributionally Robust Language Modeling
    • [cs.CL]Examining Gender Bias in Languages with Grammatical Gender
    • [cs.CL]FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
    • [cs.CL]Fusing Vector Space Models for Domain-Specific Applications
    • [cs.CL]Informative and Controllable Opinion Summarization
    • [cs.CL]Informing Unsupervised Pretraining with External Linguistic Knowledge
    • [cs.CL]Investigating Multilingual NMT Representations at Scale
    • [cs.CL]Jointly Learning to Align and Translate with Transformer Models
    • [cs.CL]KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
    • [cs.CL]Learning Dynamic Context Augmentation for Global Entity Linking
    • [cs.CL]Multi-Granularity Self-Attention for Neural Machine Translation
    • [cs.CL]Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
    • [cs.CL]Neural Rule Grounding for Low-Resource Relation Extraction
    • [cs.CL]PaLM: A Hybrid Parser and Language Model
    • [cs.CL]REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
    • [cs.CL]Reading Comprehension Ability Test-A Turing Test for Reading Comprehension
    • [cs.CL]Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
    • [cs.CL]Rewarding Coreference Resolvers for Being Consistent with World Knowledge
    • [cs.CL]Robust Navigation with Language Pretraining and Stochastic Sampling
    • [cs.CL]Semantics-aware BERT for Language Understanding
    • [cs.CL]Source Dependency-Aware Transformer with Supervised Self-Attention
    • [cs.CL]TIGEr: Text-to-Image Grounding for Image Caption Evaluation
    • [cs.CL]TabFact: A Large-scale Dataset for Table-based Fact Verification
    • [cs.CL]Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
    • [cs.CL]Towards Task-Oriented Dialogue in Mixed Domains
    • [cs.CV]A Better Way to Attend: Attention with Trees for Video Question Answering
    • [cs.CV]Adaptive Graph Representation Learning for Video Person Re-identification
    • [cs.CV]An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
    • [cs.CV]An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
    • [cs.CV]C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
    • [cs.CV]Depth Map Estimation for Free-Viewpoint Television
    • [cs.CV]Detector With Focus: Normalizing Gradient In Image Pyramid
    • [cs.CV]Do Cross Modal Systems Leverage Semantic Relationships?
    • [cs.CV]Effective Domain Knowledge Transfer with Soft Fine-tuning
    • [cs.CV]Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
    • [cs.CV]FreeAnchor: Learning to Match Anchors for Visual Object Detection
    • [cs.CV]Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
    • [cs.CV]Gravity as a Reference for Estimating a Person’s Height from Video
    • [cs.CV]Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
    • [cs.CV]Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
    • [cs.CV]Image Inpainting with Learnable Bidirectional Attention Maps
    • [cs.CV]Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity
    • [cs.CV]Large-scale Tag-based Font Retrieval with Generative Feature Learning
    • [cs.CV]MANAS: Multi-Agent Neural Architecture Search
    • [cs.CV]Neural Style-Preserving Visual Dubbing
    • [cs.CV]POD: Practical Object Detection with Scale-Sensitive Network
    • [cs.CV]Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis
    • [cs.CV]Program-Guided Image Manipulators
    • [cs.CV]Semantic-Aware Scene Recognition
    • [cs.CV]Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
    • [cs.CV]Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
    • [cs.CV]Training Compact Neural Networks via Auxiliary Overparameterization
    • [cs.CV]Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
    • [cs.CV]Utilizing Temporal Information in DeepConvolutional Network for Efficient Soccer BallDetection and Tracking
    • [cs.CV]Weakly Supervised Universal Fracture Detection in Pelvic X-rays
    • [cs.DC]Correct, Fast Remote Persistence
    • [cs.DC]Fast BFS-Based Triangle Counting on GPUs
    • [cs.DC]Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
    • [cs.DC]Performance Analysis and Comparison of Distributed Machine Learning Systems
    • [cs.DC]Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores
    • [cs.DL]Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
    • [cs.HC]Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
    • [cs.IR]Conversational Product Search Based on Negative Feedback
    • [cs.IR]Leverage Implicit Feedback for Context-aware Product Search
    • [cs.IR]On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
    • [cs.IT]An Outage Probability Analysis of Full-Duplex NOMA in UAV Communications
    • [cs.IT]Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems
    • [cs.IT]Enabling UAV communications with cell-free massive MIMO
    • [cs.IT]Outage Analysis of Cooperative NOMA Using Maximum Ratio Combining at Intersections
    • [cs.IT]Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
    • [cs.IT]Straggler Mitigation with Tiered Gradient Codes
    • [cs.LG]$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
    • [cs.LG]A Transfer Learning Approach for Network Intrusion Detection
    • [cs.LG]ALIME: Autoencoder Based Approach for Local Interpretability
    • [cs.LG]Are Adversarial Robustness and Common Perturbation Robustness Independant Attributes ?
    • [cs.LG]Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
    • [cs.LG]Best Practices for Scientific Research on Neural Architecture Search
    • [cs.LG]Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
    • [cs.LG]Detecting Deep Neural Network Defects with Data Flow Analysis
    • [cs.LG]Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring
    • [cs.LG]Hierarchical Federated Learning Across Heterogeneous Cellular Networks
    • [cs.LG]Kernel absolute summability is only sufficient for RKHS stability
    • [cs.LG]Learning Action-Transferable Policy with Action Embedding
    • [cs.LG]Learning from Label Proportions with Generative Adversarial Networks
    • [cs.LG]McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
    • [cs.LG]Meta Learning with Relational Information for Short Sequences
    • [cs.LG]Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data
    • [cs.LG]Mixture Probabilistic Principal Geodesic Analysis
    • [cs.LG]More Adaptive Algorithms for Tracking the Best Expert
    • [cs.LG]Powerset Convolutional Neural Networks
    • [cs.LG]Quasi-Newton Optimization Methods For Deep Learning Applications
    • [cs.LG]Riemannian batch normalization for SPD neural networks
    • [cs.LG]Stochastic Linear Optimization with Adversarial Corruption
    • [cs.LG]Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
    • [cs.LG]Understanding ML driven HPC: Applications and Infrastructure
    • [cs.MM]Remembering winter was coming
    • [cs.NE]A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks
    • [cs.NE]Minibatch Processing in Spiking Neural Networks
    • [cs.PF]ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference
    • [cs.RO]A Lexicographic Search Method for Multi-Objective Motion Planning
    • [cs.RO]An Optimal Assistive Control Strategy based on User’s Motor Goal Estimation
    • [cs.RO]Continuous-Time Trajectory Optimization for Decentralized Multi-Robot Navigation
    • [cs.RO]Directional Semantic Grasping of Real-World Objects: From Simulation to Reality
    • [cs.RO]EPANer Team Description Paper for World Robot Challenge 2020
    • [cs.RO]Efficient Optimal Planning in non-FIFO Time-Dependent Flow Fields
    • [cs.RO]Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor
    • [cs.RO]NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions
    • [cs.RO]Occ-Traj120: Occupancy Maps with Associated Trajectories
    • [cs.RO]Proceedings of the SREC (Social Robots in Therapy and Care) Workshop at HRI 2019
    • [cs.RO]Robot Motion Risk Reasoning Framework
    • [cs.RO]SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface
    • [cs.RO]The homunculus for proprioception: Toward learning the representation of a humanoid robot’s joint space using self-organizing maps
    • [cs.RO]Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
    • [cs.SI]A complex network approach to political analysis: application to the Brazilian Chamber of Deputies
    • [cs.SI]Diversity Breeds Innovation With Discounted Impact and Recognition
    • [cs.SI]How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers
    • [econ.EM]Using Wasserstein Generative Adversial Networks for the Design of Monte Carlo Simulations
    • [econ.TH]An Experiment on Network Density and Sequential Learning
    • [eess.IV]AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
    • [eess.IV]CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT
    • [eess.IV]DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
    • [eess.IV]Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing
    • [eess.IV]Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
    • [eess.IV]Online Regularization by Denoising with Applications to Phase Retrieval
    • [eess.IV]Scalable Double Regularization for 3D Nano-CT Reconstruction
    • [eess.IV]Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
    • [eess.IV]Tensor Oriented No-Reference Light Field Image Quality Assessment
    • [eess.IV]The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries
    • [eess.SP]Drone-Assisted Communications for Remote Areas and Disaster Relief
    • [eess.SP]Generative Machine Learning for Robust Free-Space Communication
    • [eess.SY]Two-Way Coding and Attack Decoupling in Control Systems Under Injection Attacks
    • [math.AC]Free resolutions of function classes via order complexes
    • [math.CO]Sticky matroids and convolution
    • [math.FA]Phase retrieval of complex and vector-valued functions
    • [math.HO]Number of Sign Changes: Segment of AR(1)
    • [math.OC]A simple parallelizable method for the approximate solution of a quadratic transportation problem of large dimension with additional constraints
    • [math.OC]Accelerated Information Gradient flow
    • [math.ST]A new reproducing kernel based nonlinear dimension reduction method for survival data
    • [math.ST]Further study on inferential aspects of log-Lindley distribution with an application of stress-strength reliability in insurance
    • [math.ST]On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors
    • [math.ST]On perfectness in Gaussian graphical models
    • [math.ST]Optimal UCB Adjustments for Large Arm Sizes
    • [math.ST]The distribution of Yule’s ‘nonsense correlation’
    • [math.ST]Theory of high-dimensional outliers
    • [math.ST]Vector-valued Generalised Ornstein-Uhlenbeck Processes
    • [physics.chem-ph]Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
    • [physics.chem-ph]Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-BasedMachine Learning
    • [physics.comp-ph]PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data
    • [physics.optics]Dispersion Characterization and Pulse Prediction with Machine Learning
    • [q-bio.NC]Cultural diversity and the measurement of functional impairment: A cross-cultural validation of the Amsterdam IADL Questionnaire
    • [q-bio.NC]Towards a general model for psychopathology
    • [q-bio.QM]Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
    • [q-bio.QM]Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
    • [quant-ph]Coherent Optical Communications Enhanced by Machine Intelligence
    • [quant-ph]Playing Games with Multiple Access Channels
    • [quant-ph]Quantum Natural Gradient
    • [stat.AP]Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation
    • [stat.AP]Predictive Claim Scores for Dynamic Multi-Product Risk Classification in Insurance
    • [stat.AP]Reply to “Issues arising from benchmarking single-cell RNA sequencing imputation methods”
    • [stat.ME]Analyzing Brain Circuits in Population Neuroscience: A Case to Be a Bayesian
    • [stat.ME]Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
    • [stat.ME]Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data
    • [stat.ME]Latent Multivariate Log-Gamma Models for High-Dimensional Multi-Type Responses with Application to Daily Fine Particulate Matter and Mortality Counts
    • [stat.ME]Machine Learning in Least-Squares Monte Carlo Proxy Modeling of Life Insurance Companies
    • [stat.ME]Predictive distributions that mimic frequencies over a restricted subdomain (expanded preprint version)
    • [stat.ME]Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
    • [stat.ME]Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models
    • [stat.ME]Reduced-bias estimation of spatial econometric models with incompletely geocoded data
    • [stat.ME]Regression Models Using Shapes of Functions as Predictors
    • [stat.ML]An Arm-wise Randomization Approach to Combinatorial Linear Semi-bandits
    • [stat.ML]LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport
    • [stat.ML]Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
    • [stat.ML]Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes

    ·····································

    • [astro-ph.CO]Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
    Johann Brehmer, Siddharth Mishra-Sharma, Joeri Hermans, Gilles Louppe, Kyle Cranmer
    http://arxiv.org/abs/1909.02005v1

    • [astro-ph.EP]Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis
    Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask
    http://arxiv.org/abs/1909.02387v1

    • [cs.AI]Commonsense ReasoningUsing WordNet and SUMO: a Detailed Analysis
    Javier Álvez, Itziar Gonzalez-Dios, German Rigau
    http://arxiv.org/abs/1909.02314v1

    • [cs.AI]No Press Diplomacy: Modeling Multi-Agent Gameplay
    Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron Courville
    http://arxiv.org/abs/1909.02128v1

    • [cs.AI]Semantically-Regularized Logic Graph Embeddings
    Yaqi Xie, Ziwei Xu, Kuldeep Meel, Mohan S Kankanhalli, Harold Soh
    http://arxiv.org/abs/1909.01161v3

    • [cs.CL]A Discussion on Influence of Newspaper Headlines on Social Media
    Aneek Barman Roy, Baolei Chen, Siddharth Tiwari, Zihan Huang
    http://arxiv.org/abs/1909.02476v1

    • [cs.CL]A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
    Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu
    http://arxiv.org/abs/1909.02188v1

    • [cs.CL]Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network
    Chengyi Wang, Shuangzhi Wu, Shujie Liu
    http://arxiv.org/abs/1909.02279v1

    • [cs.CL]Adversarial Examples with Difficult Common Words for Paraphrase Identification
    Zhouxing Shi, Minlie Huang, Ting Yao, Jingfang Xu
    http://arxiv.org/abs/1909.02560v1

    • [cs.CL]An Entity-Driven Framework for Abstractive Summarization
    Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
    http://arxiv.org/abs/1909.02059v1

    • [cs.CL]An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
    Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
    http://arxiv.org/abs/1909.02027v1

    • [cs.CL]Automated Let’s Play Commentary
    Shukan Shah, Matthew Guzdial, Mark O. Riedl
    http://arxiv.org/abs/1909.02195v1

    • [cs.CL]Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank
    Zhang Meishan, Zhang Yue, Fu Guohong
    http://arxiv.org/abs/1909.02235v1

    • [cs.CL]Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
    Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut
    http://arxiv.org/abs/1909.02097v1

    • [cs.CL]Distributionally Robust Language Modeling
    Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang
    http://arxiv.org/abs/1909.02060v1

    • [cs.CL]Examining Gender Bias in Languages with Grammatical Gender
    Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
    http://arxiv.org/abs/1909.02224v1

    • [cs.CL]FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
    Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy
    http://arxiv.org/abs/1909.02480v1

    • [cs.CL]Fusing Vector Space Models for Domain-Specific Applications
    Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux
    http://arxiv.org/abs/1909.02307v1

    • [cs.CL]Informative and Controllable Opinion Summarization
    Reinald Kim Amplayo, Mirella Lapata
    http://arxiv.org/abs/1909.02322v1

    • [cs.CL]Informing Unsupervised Pretraining with External Linguistic Knowledge
    Anne Lauscher, Ivan Vulić, Edoardo Maria Ponti, Anna Korhonen, Goran Glavaš
    http://arxiv.org/abs/1909.02339v1

    • [cs.CL]Investigating Multilingual NMT Representations at Scale
    Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Naveen Arivazhagan, Orhan Firat
    http://arxiv.org/abs/1909.02197v1

    • [cs.CL]Jointly Learning to Align and Translate with Transformer Models
    Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik
    http://arxiv.org/abs/1909.02074v1

    • [cs.CL]KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
    Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
    http://arxiv.org/abs/1909.02151v1

    • [cs.CL]Learning Dynamic Context Augmentation for Global Entity Linking
    Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren
    http://arxiv.org/abs/1909.02117v1

    • [cs.CL]Multi-Granularity Self-Attention for Neural Machine Translation
    Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu
    http://arxiv.org/abs/1909.02222v1

    • [cs.CL]Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
    Takashi Shibuya, Eduard Hovy
    http://arxiv.org/abs/1909.02250v1

    • [cs.CL]Neural Rule Grounding for Low-Resource Relation Extraction
    Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren
    http://arxiv.org/abs/1909.02177v1

    • [cs.CL]PaLM: A Hybrid Parser and Language Model
    Hao Peng, Roy Schwartz, Noah A. Smith
    http://arxiv.org/abs/1909.02134v1

    • [cs.CL]REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
    Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao
    http://arxiv.org/abs/1909.02217v1

    • [cs.CL]Reading Comprehension Ability Test-A Turing Test for Reading Comprehension
    Yuan Miao, Gongqi Lin, Yidan Hu, Chunyan Miao
    http://arxiv.org/abs/1909.02399v1

    • [cs.CL]Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
    Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani
    http://arxiv.org/abs/1909.02126v1

    • [cs.CL]Rewarding Coreference Resolvers for Being Consistent with World Knowledge
    Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard
    http://arxiv.org/abs/1909.02392v1

    • [cs.CL]Robust Navigation with Language Pretraining and Stochastic Sampling
    Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah Smith, Yejin Choi
    http://arxiv.org/abs/1909.02244v1

    • [cs.CL]Semantics-aware BERT for Language Understanding
    Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou
    http://arxiv.org/abs/1909.02209v1

    • [cs.CL]Source Dependency-Aware Transformer with Supervised Self-Attention
    Chengyi Wang, Shuangzhi Wu, Shujie Liu
    http://arxiv.org/abs/1909.02273v1

    • [cs.CL]TIGEr: Text-to-Image Grounding for Image Caption Evaluation
    Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao
    http://arxiv.org/abs/1909.02050v1

    • [cs.CL]TabFact: A Large-scale Dataset for Table-based Fact Verification
    Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang
    http://arxiv.org/abs/1909.02164v1

    • [cs.CL]Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
    Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
    http://arxiv.org/abs/1909.02304v1

    • [cs.CL]Towards Task-Oriented Dialogue in Mixed Domains
    Tho Luong Chi, Phuong Le-Hong
    http://arxiv.org/abs/1909.02265v1

    • [cs.CV]A Better Way to Attend: Attention with Trees for Video Question Answering
    Hongyang Xue, Wenqing Chu, Zhou Zhao, Deng Cai
    http://arxiv.org/abs/1909.02218v1

    • [cs.CV]Adaptive Graph Representation Learning for Video Person Re-identification
    Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian
    http://arxiv.org/abs/1909.02240v1

    • [cs.CV]An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
    Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng
    http://arxiv.org/abs/1909.02344v1

    • [cs.CV]An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
    Rayson Laroca, Luiz A. Zanlorensi, Gabriel R. Gonçalves, Eduardo Todt, William Robson Schwartz, David Menotti
    http://arxiv.org/abs/1909.01754v2

    • [cs.CV]C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
    David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
    http://arxiv.org/abs/1909.02533v1

    • [cs.CV]Depth Map Estimation for Free-Viewpoint Television
    Dawid Mieloch, Olgierd Stankiewicz, Marek Domański
    http://arxiv.org/abs/1909.02294v1

    • [cs.CV]Detector With Focus: Normalizing Gradient In Image Pyramid
    Yonghyun Kim, Bong-Nam Kang, Daijin Kim
    http://arxiv.org/abs/1909.02301v1

    • [cs.CV]Do Cross Modal Systems Leverage Semantic Relationships?
    Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo, Arif Mahmood, Alessandro Calefati, Faisal Shafait
    http://arxiv.org/abs/1909.01976v1

    • [cs.CV]Effective Domain Knowledge Transfer with Soft Fine-tuning
    Zhichen Zhao, Bowen Zhang, Yuning Jiang, Li Xu, Lei Li, Wei-Ying Ma
    http://arxiv.org/abs/1909.02236v1

    • [cs.CV]Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
    Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
    http://arxiv.org/abs/1909.02293v1

    • [cs.CV]FreeAnchor: Learning to Match Anchors for Visual Object Detection
    Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji, Qixiang Ye
    http://arxiv.org/abs/1909.02466v1

    • [cs.CV]Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
    Yiwei Lu, Mahesh Kumar K, Seyed shahabeddin Nabavi, Yang Wang
    http://arxiv.org/abs/1909.02168v1

    • [cs.CV]Gravity as a Reference for Estimating a Person’s Height from Video
    Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin
    http://arxiv.org/abs/1909.02211v1

    • [cs.CV]Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
    Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
    http://arxiv.org/abs/1909.02543v1

    • [cs.CV]Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
    Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
    http://arxiv.org/abs/1909.02201v1

    • [cs.CV]Image Inpainting with Learnable Bidirectional Attention Maps
    Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding
    http://arxiv.org/abs/1909.00968v3

    • [cs.CV]Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity
    Vladislav Golyanik, André Jonas, Didier Stricker, Christian Theobalt
    http://arxiv.org/abs/1909.02468v1

    • [cs.CV]Large-scale Tag-based Font Retrieval with Generative Feature Learning
    Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo
    http://arxiv.org/abs/1909.02072v1

    • [cs.CV]MANAS: Multi-Agent Neural Architecture Search
    Fabio Maria Carlucci, Pedro M Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
    http://arxiv.org/abs/1909.01051v2

    • [cs.CV]Neural Style-Preserving Visual Dubbing
    Hyeongwoo Kim, Mohamed Elgharib, Michael Zollhöfer, Hans-Peter Seidel, Thabo Beeler, Christian Richardt, Christian Theobalt
    http://arxiv.org/abs/1909.02518v1

    • [cs.CV]POD: Practical Object Detection with Scale-Sensitive Network
    Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
    http://arxiv.org/abs/1909.02225v1

    • [cs.CV]Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis
    Nilesh Pandey, Andreas Savakis
    http://arxiv.org/abs/1909.02165v1

    • [cs.CV]Program-Guided Image Manipulators
    Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    http://arxiv.org/abs/1909.02116v1

    • [cs.CV]Semantic-Aware Scene Recognition
    Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós, Álvaro García
    http://arxiv.org/abs/1909.02410v1

    • [cs.CV]Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
    Wei Wei, Ling Cheng, Xianling Mao, Guangyou Zhou, Feida Zhu
    http://arxiv.org/abs/1909.02489v1

    • [cs.CV]Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
    Baris Gecer, Alexander Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou
    http://arxiv.org/abs/1
    39d0
    909.02215v1
    39d0
    909.02215v1)

    • [cs.CV]Training Compact Neural Networks via Auxiliary Overparameterization
    Yifan Liu, Bohan Zhuang, Chunhua Shen, Hao Chen, Wei Yin
    http://arxiv.org/abs/1909.02214v1

    • [cs.CV]Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
    Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-Chun Zhu
    http://arxiv.org/abs/1909.02144v1

    • [cs.CV]Utilizing Temporal Information in DeepConvolutional Network for Efficient Soccer BallDetection and Tracking
    Anna Kukleva, Mohammad Asif Khan, Hafez Farazi, Sven Behnke
    http://arxiv.org/abs/1909.02406v1

    • [cs.CV]Weakly Supervised Universal Fracture Detection in Pelvic X-rays
    Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao
    http://arxiv.org/abs/1909.02077v1

    • [cs.DC]Correct, Fast Remote Persistence
    Sanidhya Kashyap, Dai Qin, Steve Byan, Virendra J. Marathe, Sanketh Nalli
    http://arxiv.org/abs/1909.02092v1

    • [cs.DC]Fast BFS-Based Triangle Counting on GPUs
    Leyuan Wang, John D. Owens
    http://arxiv.org/abs/1909.02127v1

    • [cs.DC]Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
    Subho S Banerjee, Saurabh Jha, Ravishankar K. Iyer
    http://arxiv.org/abs/1909.02119v1

    • [cs.DC]Performance Analysis and Comparison of Distributed Machine Learning Systems
    Salem Alqahtani, Murat Demirbas
    http://arxiv.org/abs/1909.02061v1

    • [cs.DC]Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores
    Duong Nguyen, Aleksey Charapko, Sandeep S Kulkarni, Murat Demirbas
    http://arxiv.org/abs/1909.01980v1

    • [cs.DL]Author Growth Outstrips Publication Growth in Computer Science and Publication Quality Correlates with Collaboration
    Stephen M. Blackburn, Kathryn S. McKinley, Lexing Xie
    http://arxiv.org/abs/1909.02212v1

    • [cs.HC]Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
    Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, Alexander Gray
    http://arxiv.org/abs/1909.02309v1

    • [cs.IR]Conversational Product Search Based on Negative Feedback
    Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft
    http://arxiv.org/abs/1909.02071v1

    • [cs.IR]Leverage Implicit Feedback for Context-aware Product Search
    Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
    http://arxiv.org/abs/1909.02065v1

    • [cs.IR]On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
    Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone
    http://arxiv.org/abs/1909.02523v1

    • [cs.IT]An Outage Probability Analysis of Full-Duplex NOMA in UAV Communications
    Tan Zheng Hui Ernest, A S Madhukumar, Rajendra Prasad Sirigina, Anoop Kumar Krishna
    http://arxiv.org/abs/1909.02194v1

    • [cs.IT]Analysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems
    Zijian Zhang, Ying Cui, Feng Yang, Lianghui Ding
    http://arxiv.org/abs/1909.02193v1

    • [cs.IT]Enabling UAV communications with cell-free massive MIMO
    Carmen D’Andrea, Adrian Garcia-Rodriguez, Giovanni Geraci, Lorenzo Galati Giordano, Stefano Buzzi
    http://arxiv.org/abs/1909.02485v1

    • [cs.IT]Outage Analysis of Cooperative NOMA Using Maximum Ratio Combining at Intersections
    Baha Eddine Youcef Belmekki, Abdelkrim
    305
    Hamza, Benoît Escrig
    http://arxiv.org/abs/1909.01989v1

    • [cs.IT]Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing
    Hang Zhang, Martin Slawski, Ping Li
    http://arxiv.org/abs/1909.02496v1

    • [cs.IT]Straggler Mitigation with Tiered Gradient Codes
    Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan
    http://arxiv.org/abs/1909.02516v1

    • [cs.LG]$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
    Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
    http://arxiv.org/abs/1909.02506v1

    • [cs.LG]A Transfer Learning Approach for Network Intrusion Detection
    Peilun Wu, Hui Guo, Richard Buckland
    http://arxiv.org/abs/1909.02352v1

    • [cs.LG]ALIME: Autoencoder Based Approach for Local Interpretability
    Sharath M. Shankaranarayana, Davor Runje
    http://arxiv.org/abs/1909.02437v1

    • [cs.LG]Are Adversarial Robustness and Common Perturbation Robustness Independant Attributes ?
    Alfred Laugros, Alice Caplier, Matthieu Ospici
    http://arxiv.org/abs/1909.02436v1

    • [cs.LG]Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
    Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-tsun Li
    http://arxiv.org/abs/1909.02157v1

    • [cs.LG]Best Practices for Scientific Research on Neural Architecture Search
    Marius Lindauer, Frank Hutter
    http://arxiv.org/abs/1909.02453v1

    • [cs.LG]Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
    Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov, Jiyan Yang
    http://arxiv.org/abs/1909.02107v1

    • [cs.LG]Detecting Deep Neural Network Defects with Data Flow Analysis
    Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael Lyu
    http://arxiv.org/abs/1909.02190v1

    • [cs.LG]Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring
    Olivier Goudet, Béatrice Duval, Jin-Kao Hao
    http://arxiv.org/abs/1909.02261v1

    • [cs.LG]Hierarchical Federated Learning Across Heterogeneous Cellular Networks
    Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz, Ozgur Ercetin
    http://arxiv.org/abs/1909.02362v1

    • [cs.LG]Kernel absolute summability is only sufficient for RKHS stability
    Mauro Bisiacco, Gianluigi Pillonetto
    http://arxiv.org/abs/1909.02341v1

    • [cs.LG]Learning Action-Transferable Policy with Action Embedding
    Yu Chen, Yingfeng Chen, Yu Yang, Ying Li, Jianwei Yin, Changjie Fan
    http://arxiv.org/abs/1909.02291v1

    • [cs.LG]Learning from Label Proportions with Generative Adversarial Networks
    Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
    http://arxiv.org/abs/1909.02180v1

    • [cs.LG]McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
    Rui, Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang
    http://arxiv.org/abs/1909.02330v1

    • [cs.LG]Meta Learning with Relational Information for Short Sequences
    Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha
    http://arxiv.org/abs/1909.02105v1

    • [cs.LG]Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data
    Samuel Showalter, Zhixin Wu
    http://arxiv.org/abs/1909.01486v2

    • [cs.LG]Mixture Probabilistic Principal Geodesic Analysis
    Youshan Zhang, Jiarui Xing, Miaomiao Zhang
    http://arxiv.org/abs/1909.01412v2

    • [cs.LG]More Adaptive Algorithms for Tracking the Best Expert
    Shiyin Lu, Lijun Zhang
    http://arxiv.org/abs/1909.02187v1

    • [cs.LG]Powerset Convolutional Neural Networks
    Chris Wendler, Dan Alistarh, Markus Püschel
    http://arxiv.org/abs/1909.02253v1

    • [cs.LG]Quasi-Newton Optimization Methods For Deep Learning Applications
    Jacob Rafati, Roummel F. Marcia
    http://arxiv.org/abs/1909.01994v1

    • [cs.LG]Riemannian batch normalization for SPD neural networks
    Daniel Brooks, Olivier Schwander, Frederic Barbaresco, Jean-Yves Schneider, Matthieu Cord
    http://arxiv.org/abs/1909.02414v1

    • [cs.LG]Stochastic Linear Optimization with Adversarial Corruption
    Yingkai Li, Edmund Y. Lou, Liren Shan
    http://arxiv.org/abs/1909.02109v1

    • [cs.LG]Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers
    Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li
    http://arxiv.org/abs/1909.02384v1

    • [cs.LG]Understanding ML driven HPC: Applications and Infrastructure
    Geoffrey Fox, Shantenu Jha
    http://arxiv.org/abs/1909.02363v1

    • [cs.MM]Remembering winter was coming
    Xavier Bost, Serigne Gueye, Vincent Labatut, Martha Larson, Georges Linarès, Damien Malinas, Raphaël Roth
    http://arxiv.org/abs/1909.02423v1

    • [cs.NE]A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks
    Andrés Camero, Jamal Toutouh, Enrique Alba
    http://arxiv.org/abs/1909.02425v1

    • [cs.NE]Minibatch Processing in Spiking Neural Networks
    Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney, Robert Kozma, Hava T. Siegelmann
    http://arxiv.org/abs/1909.02549v1

    • [cs.PF]ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference
    Samuel S. Ogden, Tian Guo
    http://arxiv.org/abs/1909.02053v1

    • [cs.RO]A Lexicographic Search Method for Multi-Objective Motion Planning
    Tixiao Shan, Brendan Englot
    http://arxiv.org/abs/1909.02184v1

    • [cs.RO]An Optimal Assistive Control Strategy based on User’s Motor Goal Estimation
    Jun-ichiro Furukawa, Jun Morimoto
    http://arxiv.org/abs/1909.02288v1

    • [cs.RO]Continuous-Time Trajectory Optimization for Decentralized Multi-Robot Navigation
    Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy, Madhavan Shanmugavel
    http://arxiv.org/abs/1909.02502v1

    • [cs.RO]Directional Semantic Grasping of Real-World Objects: From Simulation to Reality
    Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield
    http://arxiv.org/abs/1909.02075v1

    • [cs.RO]EPANer Team Description Paper for World Robot Challenge 2020
    Zhi Yan, Nathan Crombez, Li Sun
    http://arxiv.org/abs/1909.02355v1

    • [cs.RO]Efficient Optimal Planning in non-FIFO Time-Dependent Flow Fields
    James Ju Heon Lee, Chanyeol Yoo, Stuart Anstee, Robert Fitch
    http://arxiv.org/abs/1909.02198v1

    • [cs.RO]Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor
    Dekai Zhu, Jinhu Dong, Zhongcong Xu, Canbo Ye, Yinbai Hu, Hang Su, Zhengfa Liu, Guang Chen
    http://arxiv.org/abs/1909.02490v1

    • [cs.RO]NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions
    Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, Andre Brandenburger, Mojtaba Hosseini, Sven Behnke
    http://arxiv.org/abs/1909.02385v1

    • [cs.RO]Occ-Traj120: Occupancy Maps with Associated Trajectories
    Tin Lai, Weiming Zhi, Fabio Ramos
    http://arxiv.org/abs/1909.02333v1

    • [cs.RO]Proceedings of the SREC (Social Robots in Therapy and Care) Workshop at HRI 2019
    Pablo Gomez Esteban, Daniel Hernández García, Hee Rin Lee, Marta Romeo, Emmanuel Senft, Erik Billing
    http://arxiv.org/abs/1909.02228v1

    • [cs.RO]Robot Motion Risk Reasoning Framework
    Xuesu Xiao, Jan Dufek, Robin R. Murphy
    http://arxiv.org/abs/1909.02531v1

    • [cs.RO]SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface
    Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Akerke Tleugazy, Dzmitry Tsetserukou
    http://arxiv.org/abs/1909.02298v1

    • [cs.RO]The homunculus for proprioception: Toward learning the representation of a humanoid robot’s joint space using self-organizing maps
    Filipe Gama, Matej Hoffmann
    http://arxiv.org/abs/1909.02295v1

    • [cs.RO]Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
    Jialiang Zhao, Jacky Liang, Oliver Kroemer
    http://arxiv.org/abs/1909.02129v1

    • [cs.SI]A complex network approach to political analysis: application to the Brazilian Chamber of Deputies
    Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio
    http://arxiv.org/abs/1909.02346v1

    • [cs.SI]Diversity Breeds Innovation With Discounted Impact and Recognition
    Bas Hofstra, Sebastian Munoz-Najar Galvez, Bryan He, Vivek V. Kulkarni, Daniel A. McFarland
    http://arxiv.org/abs/1909.02063v1

    • [cs.SI]How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers
    Asura Enkhbayar, Stefanie Haustein, Germana Barata, Juan Pablo Alperin
    http://arxiv.org/abs/1909.01476v2

    • [econ.EM]Using Wasserstein Generative Adversial Networks for the Design of Monte Carlo Simulations
    Susan Athey, Guido Imbens, Jonas Metzger, Evan Munro
    http://arxiv.org/abs/1909.02210v1

    • [econ.TH]An Experiment on Network Density and Sequential Learning
    Krishna Dasaratha, Kevin He
    http://arxiv.org/abs/1909.02220v1

    • [eess.IV]AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
    Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu
    http://arxiv.org/abs/1909.02477v1

    • [eess.IV]CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT
    Bo Zhou, Adam Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu
    http://arxiv.org/abs/1909.02511v1

    • [eess.IV]DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
    Basel Alyafi, Oliver Diaz, Robert Marti
    http://arxiv.org/abs/1909.02062v1

    • [eess.IV]Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing
    Ashutosh Tiwari, Avadh Bihari Narayan, Onkar Dikshit
    http://arxiv.org/abs/1909.01868v2

    • [eess.IV]Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
    Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
    http://arxiv.org/abs/1909.01498v2

    • [eess.IV]Online Regularization by Denoising with Applications to Phase Retrieval
    Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
    http://arxiv.org/abs/1909.02040v1

    • [eess.IV]Scalable Double Regularization for 3D Nano-CT Reconstruction
    Wei Tang, Meng Li
    http://arxiv.org/abs/1909.02256v1

    • [eess.IV]Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
    Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Sadegh Aliakbarian, Antonio Robles-Kelly
    http://arxiv.org/abs/1909.02221v1

    • [eess.IV]Tensor Oriented No-Reference Light Field Image Quality Assessment
    Wei Zhou, Likun Shi, Zhibo Chen
    http://arxiv.org/abs/1909.02358v1

    • [eess.IV]The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries
    N. Anantrasirichai, J. Biggs, F. Albino, D. Bull
    http://arxiv.org/abs/1909.02321v1

    • [eess.SP]Drone-Assisted Communications for Remote Areas and Disaster Relief
    Anousheh Gholami, Usman A. Fiaz, John S. Baras
    http://arxiv.org/abs/1909.02150v1

    • [eess.SP]Generative Machine Learning for Robust Free-Space Communication
    Sanjaya Lohani, Ryan T. Glasser
    http://arxiv.org/abs/1909.02249v1

    • [eess.SY]Two-Way Coding and Attack Decoupling in Control Systems Under Injection Attacks
    Song Fang, Karl Henrik Johansson, Mikael Skoglund, Henrik Sandberg, Hideaki Ishii
    http://arxiv.org/abs/1909.01999v1

    • [math.AC]Free resolutions of function classes via order complexes
    Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang
    http://arxiv.org/abs/1909.02159v1

    • [math.CO]Sticky matroids and convolution
    Laszlo Csirmaz
    http://arxiv.org/abs/1909.02353v1

    • [math.FA]Phase retrieval of complex and vector-valued functions
    Yang Chen, Cheng Cheng, Qiyu Sun
    http://arxiv.org/abs/1909.02078v1

    • [math.HO]Number of Sign Changes: Segment of AR(1)
    Steven Finch
    http://arxiv.org/abs/1909.02556v1

    • [math.OC]A simple parallelizable method for the approximate solution of a quadratic transportation problem of large dimension with additional constraints
    S. V. Rotin, I. V. Gusakov, V. Ya. Gusakov
    http://arxiv.org/abs/1909.02334v1

    • [math.OC]Accelerated Information Gradient flow
    Yifei Wang, Wuchen Li
    http://arxiv.org/abs/1909.02102v1

    • [math.ST]A new reproducing kernel based nonlinear dimension reduction method for survival data
    Wenquan Cui, Jianjun Xu, Yuehua Wu
    http://arxiv.org/abs/1909.02243v1

    • [math.ST]Further study on inferential aspects of log-Lindley distribution with an application of stress-strength reliability in insurance
    Aniket Biswas, Subrata Chakraborty, Meghna Mukherjee
    http://arxiv.org/abs/1909.02303v1

    • [math.ST]On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors
    Arun K. Kuchibhotla, Rohit K. Patra
    http://arxiv.org/abs/1909.02088v1

    • [math.ST]On perfectness in Gaussian graphical models
    Arash A. Amini, Bryon Aragam, Qing Zhou
    http://arxiv.org/abs/1909.01978v1

    • [math.ST]Optimal UCB Adjustments for Large Arm Sizes
    Hock Peng Chan, Shouri Hu
    http://arxiv.org/abs/1909.02229v1

    • [math.ST]The distribution of Yule’s ‘nonsense correlation’
    Philip A. Ernst, L. C. G. Rogers, Quan Zhou
    http://arxiv.org/abs/1909.02546v1

    • [math.ST]Theory of high-dimensional outliers
    Hyo Young Choi, J. S. Marron
    http://arxiv.org/abs/1909.02139v1

    • [math.ST]Vector-valued Generalised Ornstein-Uhlenbeck Processes
    Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen, Soledad Torres, Ciprian Tudor
    http://arxiv.org/abs/1909.02376v1

    • [physics.chem-ph]Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
    David Pfau, James S. Spencer, Alexander G. de G. Matthews, W. M. C. Foulkes
    http://arxiv.org/abs/1909.02487v1

    • [physics.chem-ph]Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-BasedMachine Learning
    Lixue Cheng, Nikola B. Kovachki, Matthew Welbon, Thomas F. Miller III
    http://arxiv.org/abs/1909.02041v1

    • [physics.comp-ph]PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data
    B. Ahmmed, M. K. Mudunuru, S. Karra, S. C. James, H. S. Viswanathan, J. A. Dunbar
    http://arxiv.org/abs/1909.02125v1

    • [physics.optics]Dispersion Characterization and Pulse Prediction with Machine Learning
    Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang, Ryan T. Glasser
    http://arxiv.org/abs/1909.02526v1

    • [q-bio.NC]Cultural diversity and the measurement of functional impairment: A cross-cultural validation of the Amsterdam IADL Questionnaire
    Mark A. Dubbelman, Merike Verrijp, David Facal, Gonzalo Sánchez-Benavides, Laura J. E. Brown, Wiesje M. van der Flier, Hanna Jokinen, Athene Lee, Iracema Leroi, Cristina Lojo-Seoane, Vuk Milosevic, José Luís Molinuevo, Arturo X. Pereiro Rozas, Craig Ritchie, Stephen Salloway, Gemma Stringer, Stelios Zygouris, Bruno Dubois, Stéphane Epelbaum, Philip Scheltens, Sietske A. M. Sikkes
    http://arxiv.org/abs/1909.01915v1

    • [q-bio.NC]Towards a general model for psychopathology
    Alessandro Fontana
    http://arxiv.org/abs/1909.02199v1

    • [q-bio.QM]Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
    John T. Halloran, David M. Rocke
    http://arxiv.org/abs/1909.02093v1

    • [q-bio.QM]Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
    John T. Halloran, David M. Rocke
    http://arxiv.org/abs/1909.02136v1

    • [quant-ph]Coherent Optical Communications Enhanced by Machine Intelligence
    Sanjaya Lohani, Ryan T. Glasser
    http://arxiv.org/abs/1909.02525v1

    • [quant-ph]Playing Games with Multiple Access Channels
    Felix Leditzky, Mohammad A. Alhejji, Joshua Levin, Graeme Smith
    http://arxiv.org/abs/1909.02479v1

    • [quant-ph]Quantum Natural Gradient
    James Stokes, Josh Izaac, Nathan Killoran, Giuseppe Carleo
    http://arxiv.org/abs/1909.02108v1

    • [stat.AP]Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation
    Abhishek Varghese, Christopher Drovandi, Kerrie Mengersen, Antonietta Mira
    http://arxiv.org/abs/1909.02169v1

    • [stat.AP]Predictive Claim Scores for Dynamic Multi-Product Risk Classification in Insurance
    Robert Verschuren
    http://arxiv.org/abs/1909.02403v1

    • [stat.AP]Reply to “Issues arising from benchmarking single-cell RNA sequencing imputation methods”
    Mo Huang, Nancy R. Zhang
    http://arxiv.org/abs/1909.02492v1

    • [stat.ME]Analyzing Brain Circuits in Population Neuroscience: A Case to Be a Bayesian
    Danilo Bzdok, Dorothea L. Floris, Andre F. Marquand
    http://arxiv.org/abs/1909.02527v1

    • [stat.ME]Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
    Elin Shaddox, Christine B. Peterson, Francesco C. Stingo, Nicola A. Hanania, Charmion Cruickshank-Quinn, Katerina Kechris, Russell Bowler, Marina Vannucci
    http://arxiv.org/abs/1909.02058v1

    • [stat.ME]Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data
    Eshan D. Mitra, William S. Hlavacek
    http://arxiv.org/abs/1909.00072v1

    • [stat.ME]Latent Multivariate Log-Gamma Models for High-Dimensional Multi-Type Responses with Application to Daily Fine Particulate Matter and Mortality Counts
    Zhixing Xu, Jonathan R. Bradley, Debajyoti Sinha
    http://arxiv.org/abs/1909.02528v1

    • [stat.ME]Machine Learning in Least-Squares Monte Carlo Proxy Modeling of Life Insurance Companies
    Anne-Sophie Krah, Zoran Nikolić, Ralf Korn
    http://arxiv.org/abs/1909.02182v1

    • [stat.ME]Predictive distributions that mimic frequencies over a restricted subdomain (expanded preprint version)
    Frank Lad, Giuseppe Sanfilippo
    http://arxiv.org/abs/1909.02499v1

    • [stat.ME]Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
    Georgia Papacharalampous, Hristos Tyralis, Demetris Koutsoyiannis, Alberto Montanari
    http://arxiv.org/abs/1909.00247v1

    • [stat.ME]Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models
    Georgia Papacharalampous, Demetris Koutsoyiannis, Alberto Montanari
    http://arxiv.org/abs/1909.00244v1

    • [stat.ME]Reduced-bias estimation of spatial econometric models with incompletely geocoded data
    Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa, Diego Giuliani, Flavio Santi
    http://arxiv.org/abs/1909.02282v1

    • [stat.ME]Regression Models Using Shapes of Functions as Predictors
    Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava
    http://arxiv.org/abs/1909.02426v1

    • [stat.ML]An Arm-wise Randomization Approach to Combinatorial Linear Semi-bandits
    Kei Takemura, Shinji Ito
    http://arxiv.org/abs/1909.02251v1

    • [stat.ML]LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport
    Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
    http://arxiv.org/abs/1909.02373v1

    • [stat.ML]Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
    Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao
    http://arxiv.org/abs/1909.01525v2

    • [stat.ML]Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
    Yichun Hu, Nathan Kallus, Xiaojie Mao
    http://arxiv.org/abs/1909.02553v1