astro-ph.IM - 仪器仪表和天体物理学方法

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [astro-ph.IM]$L_1$ Trend Filtering: A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
    • [cs.AI]An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
    • [cs.AI]Reinforcement Learning is not a Causal problem
    • [cs.AI]Technical Report on Implementing Ranking-Based Semantics in ConArg
    • [cs.CG]Universal Reconfiguration of Facet-Connected Modular Robots by Pivots: The $O(1)$ Musketeers
    • [cs.CL]A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation
    • [cs.CL]Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
    • [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
    • [cs.CL]Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
    • [cs.CL]Dialog State Tracking with Reinforced Data Augmentation
    • [cs.CL]Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
    • [cs.CL]Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
    • [cs.CL]GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
    • [cs.CL]Improving Captioning for Low-Resource Languages by Cycle Consistency
    • [cs.CL]Improving Neural Machine Translation with Pre-trained Representation
    • [cs.CL]It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
    • [cs.CL]Latent Relation Language Models
    • [cs.CL]Learning document embeddings along with their uncertainties
    • [cs.CL]MoEL: Mixture of Empathetic Listeners
    • [cs.CL]On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
    • [cs.CL]Predict Emoji Combination with Retrieval Strategy
    • [cs.CL]Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
    • [cs.CL]Restricted Recurrent Neural Networks
    • [cs.CL]Similarity Learning for Authorship Verification in Social Media
    • [cs.CL]Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
    • [cs.CL]WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
    • [cs.CR]A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component
    • [cs.CV]A Realistic Face-to-Face Conversation System based on Deep Neural Networks
    • [cs.CV]Action recognition with spatial-temporal discriminative filter banks
    • [cs.CV]Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
    • [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
    • [cs.CV]Attention on Attention for Image Captioning
    • [cs.CV]Communal Domain Learning for Registration in Drifted Image Spaces
    • [cs.CV]Deep High-Resolution Representation Learning for Visual Recognition
    • [cs.CV]DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
    • [cs.CV]Effects of Blur and Deblurring to Visual Object Tracking
    • [cs.CV]FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
    • [cs.CV]InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
    • [cs.CV]KeystoneDepth: Visualizing History in 3D
    • [cs.CV]Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
    • [cs.CV]MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
    • [cs.CV]Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
    • [cs.CV]Non-negative Sparse and Collaborative Representation for Pattern Classification
    • [cs.CV]On Object Symmetries and 6D Pose Estimation from Images
    • [cs.CV]PCRNet: Point Cloud Registration Network using PointNet Encoding
    • [cs.CV]Phrase Localization Without Paired Training Examples
    • [cs.CV]Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
    • [cs.CV]Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
    • [cs.CV]RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
    • [cs.CV]Saccader: Improving Accuracy of Hard Attention Models for Vision
    • [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    • [cs.CV]Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
    • [cs.CY]Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies
    • [cs.DB]Data Management for Causal Algorithmic Fairness
    • [cs.DB]Improved Cardinality Estimation by Learning Queries Containment Rates
    • [cs.DC]A sufficient condition for a linear speedup in competitive parallel computing
    • [cs.DC]Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock
    • [cs.DC]Securing HPC using Federated Authentication
    • [cs.DS]A Quality Metric for Visualization of Clusters in Graphs
    • [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
    • [cs.HC]Championing Research Through Design in HRI
    • [cs.IR]Assessing the Impact of a User-Item Collaborative Attack on Class of Users
    • [cs.IR]Boosting the Rating Prediction with Click Data and Textual Contents
    • [cs.IR]CommentsRadar: Dive into Unique Data on All Comments on the Web
    • [cs.IR]From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories
    • [cs.IR]Learning Joint Embedding for Cross-Modal Retrieval
    • [cs.IR]Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
    • [cs.IR]User Diverse Preference Modeling by Multimodal Attentive Metric Learning
    • [cs.IT]Covert Millimeter-Wave Communication via a Dual-Beam Transmitter
    • [cs.IT]Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm
    • [cs.IT]Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs
    • [cs.LG]AdaCliP: Adaptive Clipping for Private SGD
    • [cs.LG]CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
    • [cs.LG]Decentralized Federated Learning: A Segmented Gossip Approach
    • [cs.LG]Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
    • [cs.LG]Developing Creative AI to Generate Sculptural Objects
    • [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
    • [cs.LG]Estimation of perceptual scales using ordinal embedding
    • [cs.LG]Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem
    • [cs.LG]Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
    • [cs.LG]Federated Learning: Challenges, Methods, and Future Directions
    • [cs.LG]Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
    • [cs.LG]Hotel Recommendation System
    • [cs.LG]Multi-hypothesis classifier
    • [cs.LG]P2L: Predicting Transfer Learning for Images and Semantic Relations
    • [cs.LG]PAC-Bayes with Backprop
    • [cs.LG]QCNN: Quantile Convolutional Neural Network
    • [cs.LG]Real-time Person Re-identification at the Edge: A Mixed Precision Approach
    • [cs.LG]Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
    • [cs.LG]Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
    • [cs.LG]Testing Robustness Against Unforeseen Adversaries
    • [cs.NE]Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
    • [cs.NE]Evolutionary Computation, Optimization and Learning Algorithms for Data Science
    • [cs.RO]Design Space of Behaviour Planning for Autonomous Driving
    • [cs.RO]MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
    • [cs.SD]AI for Earth: Rainforest Conservation by Acoustic Surveillance
    • [cs.SI]Arabs and Atheism: Religious Discussions in the Arab Twittersphere
    • [cs.SI]Benchmarks for Graph Embedding Evaluation
    • [cs.SI]Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
    • [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
    • [cs.SI]SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
    • [cs.SI]Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts
    • [eess.AS]Survey on Deep Neural Networks in Speech and Vision Systems
    • [eess.IV]Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
    • [eess.IV]Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
    • [eess.IV]Dataset Growth in Medical Image Analysis Research
    • [eess.IV]Direct Neural Network 3D Image Reconstruction of Radon Encoded Data
    • [eess.IV]Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
    • [eess.IV]Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
    • [eess.IV]Pixel-wise Segmentation of Right Ventricle of Heart
    • [eess.IV]TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
    • [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
    • [eess.SP]Detecting Gas Vapor Leaks Using Uncalibrated Sensors
    • [eess.SP]Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate
    • [eess.SP]Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs
    • [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
    • [math.NA]Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism
    • [math.OC]A tree-based radial basis function method for noisy parallel surrogate optimization
    • [math.ST]Causality from the Point of View of Classical Statistics
    • [physics.geo-ph]Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings
    • [physics.geo-ph]Semi-supervised Sequence Modeling for Elastic Impedance Inversion
    • [q-bio.NC]DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis
    • [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
    • [q-fin.PM]Myopic robust index tracking with Bregman divergence
    • [stat.AP]A Parametric Bootstrap for the Mean Measure of Divergence
    • [stat.AP]Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
    • [stat.AP]Beyond p-values: a phase II dual-criterion design with statistical significance and clinical relevance
    • [stat.AP]Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction
    • [stat.CO]Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility
    • [stat.CO]Bayesian models for survival data of clinical trials: Comparison of implementations using R software
    • [stat.ME]Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
    • [stat.ME]Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters
    • [stat.ME]Efficient and powerful equivalency test on combined mean and variance with application to diagnostic device comparison studies
    • [stat.ME]Latent group structure and regularized regression
    • [stat.ME]Risk-Efficient Bayesian Data Synthesis for Privacy Protection
    • [stat.ML]Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
    • [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
    • [stat.OT]Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off

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

    • [astro-ph.IM]$L_1$ Trend Filtering: A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
    Collin A. Politsch, Jessi Cisewski-Kehe, Rupert A. C. Croft, Larry Wasserman
    http://arxiv.org/abs/1908.07151v1

    • [cs.AI]An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
    Tajul Rosli Razak
    http://arxiv.org/abs/1908.07651v1

    • [cs.AI]Reinforcement Learning is not a Causal problem
    Mauricio Gonzalez-Soto, Felipe Orihuela Espina
    http://arxiv.org/abs/1908.07617v1

    • [cs.AI]Technical Report on Implementing Ranking-Based Semantics in ConArg
    Stafano Bistarelli, Francesco Faloci, Carlo Taticchi
    http://arxiv.org/abs/1908.07784v1

    • [cs.CG]Universal Reconfiguration of Facet-Connected Modular Robots by Pivots: The $O(1)$ Musketeers
    Hugo A. Akitaya, Esther M. Arkin, Mirela Damian, Erik D. Demaine, Vida Dujmović, Robin Flatland, Matias Korman, Belén Palop, Irene Parada, André van Renssen, Vera Sacristán
    http://arxiv.org/abs/1908.07880v1

    • [cs.CL]A novel text representation which enables image classifiers to perform text classification, applied to name disambiguation
    Stephen M. Petrie, T’Mir D. Julius
    http://arxiv.org/abs/1908.07846v1

    • [cs.CL]Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
    Mor Geva, Yoav Goldberg, Jonathan Berant
    http://arxiv.org/abs/1908.07898v1

    • [cs.CL]CA-EHN: Commonsense Word Analogy from E-HowNet
    Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma
    http://arxiv.org/abs/1908.07218v2

    • [cs.CL]Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
    Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
    http://arxiv.org/abs/1908.07705v1

    • [cs.CL]Dialog State Tracking with Reinforced Data Augmentation
    Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
    http://arxiv.org/abs/1908.07795v1

    • [cs.CL]Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
    Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter
    http://arxiv.org/abs/1908.07899v1

    • [cs.CL]Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
    Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, Ping He
    http://arxiv.org/abs/1908.07721v1

    • [cs.CL]GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
    Zixian Huang, Yulin Shen, Xiao Li, Yuang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu
    http://arxiv.org/abs/1908.07855v1

    • [cs.CL]Improving Captioning for Low-Resource Languages by Cycle Consistency
    Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su
    http://arxiv.org/abs/1908.07810v1

    • [cs.CL]Improving Neural Machine Translation with Pre-trained Representation
    Rongxiang Weng, Heng Yu, Shujian Huang, Weihua Luo, Jiajun Chen
    http://arxiv.org/abs/1908.07688v1

    • [cs.CL]It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
    Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov
    http://arxiv.org/abs/1908.07912v1

    • [cs.CL]Latent Relation Language Models
    Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig
    http://arxiv.org/abs/1908.07690v1

    • [cs.CL]Learning document embeddings along with their uncertainties
    Santosh Kesiraju, Oldřich Plchot, Lukaš Burget, Suryakanth V Gangashetty
    http://arxiv.org/abs/1908.07599v1

    • [cs.CL]MoEL: Mixture of Empathetic Listeners
    Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung
    http://arxiv.org/abs/1908.07687v1

    • [cs.CL]On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
    Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
    http://arxiv.org/abs/1908.07742v1

    • [cs.CL]Predict Emoji Combination with Retrieval Strategy
    Weitsung Lin, Tinghsuan Chao, Jianmin Wu, Tianhuang Su
    http://arxiv.org/abs/1908.07761v1

    • [cs.CL]Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
    Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio
    http://arxiv.org/abs/1908.07819v1

    • [cs.CL]Restricted Recurrent Neural Networks
    Enmao Diao, Jie Ding, Vahid Tarokh
    http://arxiv.org/abs/1908.07724v1

    • [cs.CL]Similarity Learning for Authorship Verification in Social Media
    Benedikt Boenninghoff, Robert M. Nickel, Steffen Zeiler, Dorothea Kolossa
    http://arxiv.org/abs/1908.07844v1

    • [cs.CL]Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
    Piotr Żelasko, Jan Mizgajski, Mikołaj Morzy, Adrian Szymczak, Piotr Szymański, Łukasz Augustyniak, Yishay Carmiel
    http://arxiv.org/abs/1908.07888v1

    • [cs.CL]WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
    Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
    http://arxiv.org/abs/1908.08025v1

    • [cs.CR]A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component
    Chin-Yu Sun, Allen C. -H. Wu, TingTing Hwang
    http://arxiv.org/abs/1908.07701v1

    • [cs.CV]A Realistic Face-to-Face Conversation System based on Deep Neural Networks
    Zezhou Chen, Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shiguo Lian, Fuyuan Shi, Kai Wang
    http://arxiv.org/abs/1908.07750v1

    • [cs.CV]Action recognition with spatial-temporal discriminative filter banks
    Brais Martinez, Davide Modolo, Yuanjun Xiong, Joseph Tighe
    http://arxiv.org/abs/1908.07625v1

    • [cs.CV]Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
    Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang
    http://arxiv.org/abs/1908.07860v1

    • [cs.CV]Asymmetric Non-local Neural Networks for Semantic Segmentation
    Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai
    http://arxiv.org/abs/1908.07678v1

    • [cs.CV]Attention on Attention for Image Captioning
    Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei
    http://arxiv.org/abs/1908.06954v2

    • [cs.CV]Communal Domain Learning for Registration in Drifted Image Spaces
    Awais Mansoor, Marius George Linguraru
    http://arxiv.org/abs/1908.07646v1

    • [cs.CV]Deep High-Resolution Representation Learning for Visual Recognition
    Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao
    http://arxiv.org/abs/1908.07919v1

    • [cs.CV]DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
    Mohamed H. Abdelpakey, Mohamed S. Shehata
    http://arxiv.org/abs/1908.07905v1

    • [cs.CV]Effects of Blur and Deblurring to Visual Object Tracking
    Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang
    http://arxiv.org/abs/1908.07904v1

    • [cs.CV]FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
    Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille
    http://arxiv.org/abs/1908.07654v1

    • [cs.CV]InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
    Hao-Shu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu
    http://arxiv.org/abs/1908.07801v1

    • [cs.CV]KeystoneDepth: Visualizing History in 3D
    Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steve Seitz
    http://arxiv.org/abs/1908.07732v1

    • [cs.CV]Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
    Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang
    http://arxiv.org/abs/1908.07878v1

    • [cs.CV]MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
    Royson Lee, Stylianos I. Venieris, Łukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
    http://arxiv.org/abs/1908.07985v1

    • [cs.CV]Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing
    Wenjin Tao, Ming C. Leu, Zhaozheng Yin
    http://arxiv.org/abs/1908.07519v1

    • [cs.CV]Non-negative Sparse and Collaborative Representation for Pattern Classification
    Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang
    http://arxiv.org/abs/1908.07956v1

    • [cs.CV]On Object Symmetries and 6D Pose Estimation from Images
    Giorgia Pitteri, Michaël Ramamonjisoa, Slobodan Ilic, Vincent Lepetit
    http://arxiv.org/abs/1908.07640v1

    • [cs.CV]PCRNet: Point Cloud Registration Network using PointNet Encoding
    Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset
    http://arxiv.org/abs/1908.07906v1

    • [cs.CV]Phrase Localization Without Paired Training Examples
    Josiah Wang, Lucia Specia
    http://arxiv.org/abs/1908.07553v1

    • [cs.CV]Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
    Jie Luo, Alexandra Golby, Masashi Sugiyama, William M. Wells III, Sarah Frisken
    http://arxiv.org/abs/1908.07709v1

    • [cs.CV]Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
    Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
    http://arxiv.org/abs/1908.07683v1

    • [cs.CV]RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
    Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo
    http://arxiv.org/abs/1908.07748v1

    • [cs.CV]Saccader: Improving Accuracy of Hard Attention Models for Vision
    Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le
    http://arxiv.org/abs/1908.07644v1

    • [cs.CV]Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou
    http://arxiv.org/abs/1908.07669v1

    • [cs.CV]Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes
    Maik Simon, Markus Küchhold, Tobias Senst, Erik Bochinski, Thomas Sikora
    http://arxiv.org/abs/1908.07772v1

    • [cs.CY]Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies
    Julissa Milligan, Sarah Scheffler, Andrew Sellars, Trishita Tiwari, Ari Trachtenberg, Mayank Varia
    http://arxiv.org/abs/1908.07965v1

    • [cs.DB]Data Management for Causal Algorithmic Fairness
    Babak Salimi, Bill Howe, Dan Suciu
    http://arxiv.org/abs/1908.07924v1

    • [cs.DB]Improved Cardinality Estimation by Learning Queries Containment Rates
    Rojeh Hayek, Oded Shmueli
    http://arxiv.org/abs/1908.07723v1

    • [cs.DC]A sufficient condition for a linear speedup in competitive parallel computing
    Naoki Yonezawa
    http://arxiv.org/abs/1908.07715v1

    • [cs.DC]Eunomia: A Permissionless Parallel Chain Protocol Based on Logical Clock
    Jianyu Niu
    http://arxiv.org/abs/1908.07567v1

    • [cs.DC]Securing HPC using Federated Authentication
    Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner
    http://arxiv.org/abs/1908.07573v1

    • [cs.DS]A Quality Metric for Visualization of Clusters in Graphs
    Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel Keim
    http://arxiv.org/abs/1908.07792v1

    • [cs.ET]Implications of Quantum Computing for Artificial Intelligence alignment research
    Jaime Sevilla, Pablo Moreno
    http://arxiv.org/abs/1908.07613v1

    • [cs.HC]Championing Research Through Design in HRI
    Michal Luria, John Zimmerman, Jodi Forlizzi
    http://arxiv.org/abs/1908.07572v1

    • [cs.IR]Assessing the Impact of a User-Item Collaborative Attack on Class of Users
    Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
    http://arxiv.org/abs/1908.07968v1

    • [cs.IR]Boosting the Rating Prediction with Click Data and Textual Contents
    ThaiBinh Nguyen, Atsuhiro Takasu
    http://arxiv.org/abs/1908.07749v1

    • [cs.IR]CommentsRadar: Dive into Unique Data on All Comments on the Web
    Sergey Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded
    http://arxiv.org/abs/1908.07069v1

    • [cs.IR]From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories
    Songwei Ge, Curtis Xuan, Ruihua Song, Chao Zou, Wei Liu, Jin Zhou
    http://arxiv.org/abs/1908.07590v1

    • [cs.IR]Learning Joint Embedding for Cross-Modal Retrieval
    Donghuo Zeng
    http://arxiv.org/abs/1908.07673v1

    • [cs.IR]Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
    Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen
    http://arxiv.org/abs/1908.07600v1

    • [cs.IR]User Diverse Preference Modeling by Multimodal Attentive Metric Learning
    Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli
    http://arxiv.org/abs/1908.07738v1

    • [cs.IT]Covert Millimeter-Wave Communication via a Dual-Beam Transmitter
    Mohammad Vahid Jamali, Hessam Mahdavifar
    http://arxiv.org/abs/1908.07591v1

    • [cs.IT]Eliminating Impulsive Noise in Pilot-Aided OFDM Channels via Dual of Penalized Atomic Norm
    Iman Valiulahi, Farzad Parvaresh, Ali Asghar Beheshti
    http://arxiv.org/abs/1908.07729v1

    • [cs.IT]Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs
    Ramy Amer, Walid Saad, Nicola Marchetti
    http://arxiv.org/abs/1908.07774v1

    • [cs.LG]AdaCliP: Adaptive Clipping for Private SGD
    Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
    http://arxiv.org/abs/1908.07643v1

    • [cs.LG]CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
    Sterling Ramroach, Andrew Dhanoo, Brian Cockburn, Ajay Joshi
    http://arxiv.org/abs/1908.07847v1

    • [cs.LG]Decentralized Federated Learning: A Segmented Gossip Approach
    Chenghao Hu, Jingyan Jiang, Zhi Wang
    http://arxiv.org/abs/1908.07782v1

    • [cs.LG]Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
    Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
    http://arxiv.org/abs/1908.07667v1

    • [cs.LG]Developing Creative AI to Generate Sculptural Objects
    Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabas Poczos
    http://arxiv.org/abs/1908.07587v1

    • [cs.LG]Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
    Mohammad Reza Keshtkaran, Chethan Pandarinath
    http://arxiv.org/abs/1908.07896v1

    • [cs.LG]Estimation of perceptual scales using ordinal embedding
    Siavash Haghiri, Felix Wichmann, Ulrike von Luxburg
    http://arxiv.org/abs/1908.07962v1

    • [cs.LG]Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem
    Jules Kruijswijk, Petri Parvinen, Maurits Kaptein
    http://arxiv.org/abs/1908.07808v1

    • [cs.LG]Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
    Jun Yang, Shengyang Sun, Daniel M. Roy
    http://arxiv.org/abs/1908.07585v1

    • [cs.LG]Federated Learning: Challenges, Methods, and Future Directions
    Tian Li, Anit Kumar Sahu, Ameet Talwalkar, Virginia Smith
    http://arxiv.org/abs/1908.07873v1

    • [cs.LG]Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
    Bingzhe Wu, Shiwan Zhao, Haoyang Xu, ChaoChao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
    http://arxiv.org/abs/1908.07882v1

    • [cs.LG]Hotel Recommendation System
    Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra
    http://arxiv.org/abs/1908.07498v2

    • [cs.LG]Multi-hypothesis classifier
    Sayantan Sengupta, Sudip Sanyal
    http://arxiv.org/abs/1908.07857v1

    • [cs.LG]P2L: Predicting Transfer Learning for Images and Semantic Relations
    Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian Belgodere
    http://arxiv.org/abs/1908.07630v1

    • [cs.LG]PAC-Bayes with Backprop
    Omar Rivasplata, Vikram M Tankasali, Csaba Szepesvari
    http://arxiv.org/abs/1908.07380v2

    • [cs.LG]QCNN: Quantile Convolutional Neural Network
    Gábor Petneházi
    http://arxiv.org/abs/1908.07978v1

    • [cs.LG]Real-time Person Re-identification at the Edge: A Mixed Precision Approach
    Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi
    http://arxiv.org/abs/1908.07842v1

    • [cs.LG]Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
    Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
    http://arxiv.org/abs/1908.07885v1

    • [cs.LG]Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning
    Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
    http://arxiv.org/abs/1908.07558v1

    • [cs.LG]Testing Robustness Against Unforeseen Adversaries
    Daniel Kang, Yi Sun, Dan Hendrycks, Tom Brown, Jacob Steinhardt
    http://arxiv.org/abs/1908.08016v1

    • [cs.NE]Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
    Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié
    http://arxiv.org/abs/1908.08005v1

    • [cs.NE]Evolutionary Computation, Optimization and Learning Algorithms for Data Science
    Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
    http://arxiv.org/abs/1908.08006v1

    • [cs.RO]Design Space of Behaviour Planning for Autonomous Driving
    Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki
    http://arxiv.org/abs/1908.07931v1

    • [cs.RO]MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
    Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers Matthew Rockett, Joshua R. Smith, Sanjiban Choudhury, Christoforos Mavrogiannis, Fereshteh Sadeghi
    http://arxiv.org/abs/1908.08031v1

    • [cs.SD]AI for Earth: Rainforest Conservation by Acoustic Surveillance
    Yuan Liu, Zhongwei Cheng, Jie Liu, Bourhan Yassin, Zhe Nan, Jiebo Luo
    http://arxiv.org/abs/1908.07517v1

    • [cs.SI]Arabs and Atheism: Religious Discussions in the Arab Twittersphere
    Youssef Al Hariri, Walid Magdy, Maria Wolters
    http://arxiv.org/abs/1908.07811v1

    • [cs.SI]Benchmarks for Graph Embedding Evaluation
    Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
    http://arxiv.org/abs/1908.06543v2

    • [cs.SI]Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering
    Ross Griebenow, Brennan Klein, Erik Hoel
    http://arxiv.org/abs/1908.07565v1

    • [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
    Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, K. Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth
    http://arxiv.org/abs/1908.06520v2

    • [cs.SI]SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
    Hamed Nilforoshan, Neil Shah
    http://arxiv.org/abs/1908.07087v2

    • [cs.SI]Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts
    Felix Victor Münch, Ben Thies, Cornelius Puschmann, Axel Bruns
    http://arxiv.org/abs/1908.07788v1

    • [eess.AS]Survey on Deep Neural Networks in Speech and Vision Systems
    Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin
    http://arxiv.org/abs/1908.07656v1

    • [eess.IV]Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
    Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
    http://arxiv.org/abs/1908.07736v1

    • [eess.IV]Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
    Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
    http://arxiv.org/abs/1908.07726v1

    • [eess.IV]Dataset Growth in Medical Image Analysis Research
    Yuval Landau, Nahum Kiryati
    http://arxiv.org/abs/1908.07765v1

    • [eess.IV]Direct Neural Network 3D Image Reconstruction of Radon Encoded Data
    William Whiteley, Jens Gregor
    http://arxiv.org/abs/1908.07516v1

    • [eess.IV]Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
    Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
    http://arxiv.org/abs/1908.07623v1

    • [eess.IV]Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
    Mizuho Nishio, Koji Fujimoto, Kaori Togashi
    http://arxiv.org/abs/1908.07704v1

    • [eess.IV]Pixel-wise Segmentation of Right Ventricle of Heart
    Yaman Dang, Deepak Anand, Amit Sethi
    http://arxiv.org/abs/1908.08004v1

    • [eess.IV]TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
    Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
    http://arxiv.org/abs/1908.07926v1

    • [eess.IV]Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
    Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
    http://arxiv.org/abs/1908.07344v2

    • [eess.SP]Detecting Gas Vapor Leaks Using Uncalibrated Sensors
    Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin
    http://arxiv.org/abs/1908.07619v1

    • [eess.SP]Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate
    K. Ntontin, J. Song, M. Di Renzo
    http://arxiv.org/abs/1908.07967v1

    • [eess.SP]Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs
    Nahid Amani, Saeedeh Parsaeefard, Hassan Taheri, Hossein Pedram
    http://arxiv.org/abs/1908.07568v1

    • [math.CO]K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
    Jacob D. Baron, R. W. R. Darling
    http://arxiv.org/abs/1908.07645v1

    • [math.NA]Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism
    Kevin K. Lin, Fei Lu
    http://arxiv.org/abs/1908.07725v1

    • [math.OC]A tree-based radial basis function method for noisy parallel surrogate optimization
    Chenchao Shou, Matthew West
    http://arxiv.org/abs/1908.07980v1

    • [math.ST]Causality from the Point of View of Classical Statistics
    José A. Ferreira
    http://arxiv.org/abs/1908.07301v2

    • [physics.geo-ph]Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-aware Matchings
    Maxime Soler, Martin Petitfrere, Gilles Darche, Melanie Plainchault, Bruno Conche, Julien Tierny
    http://arxiv.org/abs/1908.07841v1

    • [physics.geo-ph]Semi-supervised Sequence Modeling for Elastic Impedance Inversion
    Motaz Alfarraj, Ghassan AlRegib
    http://arxiv.org/abs/1908.07849v1

    • [q-bio.NC]DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis
    Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
    http://arxiv.org/abs/1908.07957v1

    • [q-bio.QM]DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
    Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu
    http://arxiv.org/abs/1908.07209v2

    • [q-fin.PM]Myopic robust index tracking with Bregman divergence
    Spiridon Penev, Pavel Shevchenko, Wei Wu
    http://arxiv.org/abs/1908.07659v1

    • [stat.AP]A Parametric Bootstrap for the Mean Measure of Divergence
    Federico Zertuche, Abigail Meza-Peñaloza
    http://arxiv.org/abs/1908.07514v1

    • [stat.AP]Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
    Kelly R. Moran, Elizabeth L. Turner, David Dunson, Amy H. Herring
    http://arxiv.org/abs/1908.07632v1

    • [stat.AP]Beyond p-values: a phase II dual-criterion design with statistical significance and clinical relevance
    Satrajit Roychoudhury, Nicolas Scheuer, Beat Neuenschwander
    http://arxiv.org/abs/1908.07751v1

    • [stat.AP]Importance of spatial predictor variable selection in machine learning applications — Moving from data reproduction to spatial prediction
    Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, Thomas Nauss
    http://arxiv.org/abs/1908.07805v1

    • [stat.CO]Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility
    Tore Selland Kleppe, Roman Liesenfeld, Guilherme Valle Moura, Atle Oglend
    http://arxiv.org/abs/1908.07798v1

    • [stat.CO]Bayesian models for survival data of clinical trials: Comparison of implementations using R software
    Lucie Biard, Anne Bergeron, Sylvie Chevret
    http://arxiv.org/abs/1908.06687v2

    • [stat.ME]Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
    Keefe Murphy, Thomas Brendan Murphy, Raffaella Piccarreta, Isobel Claire Gormley
    http://arxiv.org/abs/1908.07963v1

    • [stat.ME]Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters
    Duncan T. Wilson, Rebecca E. A. Walwyn, Richard Hooper, Julia Brown, Amanda J. Farrin
    http://arxiv.org/abs/1908.07769v1

    • [stat.ME]Efficient and powerful equivalency test on combined mean and variance with application to diagnostic device comparison studies
    Yun Bai, Zengri Wang, Theodore Lystig, Baolin Wu
    http://arxiv.org/abs/1908.07979v1

    • [stat.ME]Latent group structure and regularized regression
    Konstantinos Perrakis, Frank Dondelinger, Sach Mukherjee
    http://arxiv.org/abs/1908.07869v1

    • [stat.ME]Risk-Efficient Bayesian Data Synthesis for Privacy Protection
    Jingchen Hu, Terrance D. Savitsky
    http://arxiv.org/abs/1908.07639v1

    • [stat.ML]Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
    Tomer Lancewicki, Selcuk Kopru
    http://arxiv.org/abs/1908.07607v1

    • [stat.ML]How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets
    Vakeriy Avanesov
    http://arxiv.org/abs/1908.07636v1

    • [stat.OT]Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off
    Sreejith Sreekumar, Deniz Gunduz
    http://arxiv.org/abs/1908.07521v1