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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Exploring Properties of Icosoku by Constraint Satisfaction Approach
    • [cs.AI]The Regularization of Small Sub-Constraint Satisfaction Problems
    • [cs.CG]Parallel Computation of Alpha Complex for Biomolecules
    • [cs.CL]Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
    • [cs.CL]BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
    • [cs.CL]Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding
    • [cs.CL]Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
    • [cs.CL]Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
    • [cs.CL]Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation
    • [cs.CL]Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach
    • [cs.CL]Few-shot Text Classification with Distributional Signatures
    • [cs.CL]How Sequence-to-Sequence Models Perceive Language Styles?
    • [cs.CL]Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
    • [cs.CL]Named Entity Recognition for Nepali Language
    • [cs.CL]Pushing the Limits of Low-Resource Morphological Inflection
    • [cs.CL]Reasoning Over Paragraph Effects in Situations
    • [cs.CL]Simplify the Usage of Lexicon in Chinese NER
    • [cs.CL]Sketch-Driven Regular Expression Generation from Natural Language and Examples
    • [cs.CR]All About Phishing: Exploring User Research through a Systematic Literature Review
    • [cs.CR]Evaluating User Perception of Multi-Factor Authentication: A Systematic Review
    • [cs.CR]MFA is a Waste of Time! Understanding Negative Connotation Towards MFA Applications via User Generated Content
    • [cs.CR]Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
    • [cs.CV]A Cooperative Autoencoder for Population-BasedRegularization of CNN Image Registration
    • [cs.CV]Adversarial point perturbations on 3D objects
    • [cs.CV]Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation
    • [cs.CV]Context-Aware Emotion Recognition Networks
    • [cs.CV]Cross-Domain Adaptation for Animal Pose Estimation
    • [cs.CV]Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks
    • [cs.CV]Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
    • [cs.CV]FSGAN: Subject Agnostic Face Swapping and Reenactment
    • [cs.CV]GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
    • [cs.CV]Learning Deep Representations by Mutual Information for Person Re-identification
    • [cs.CV]Mixed High-Order Attention Network for Person Re-Identification
    • [cs.CV]Needles in Haystacks: On Classifying Tiny Objects in Large Images
    • [cs.CV]Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
    • [cs.CV]Pseudo-task Regularization for ConvNet Transfer Learning
    • [cs.CV]Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
    • [cs.CV]Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data
    • [cs.CV]See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
    • [cs.CV]Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation
    • [cs.CV]Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
    • [cs.CV]The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors
    • [cs.CV]Transferable Contrastive Network for Generalized Zero-Shot Learning
    • [cs.CV]Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training
    • [cs.CV]Zero-Shot Crowd Behavior Recognition
    • [cs.CV]daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices
    • [cs.CY]Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing
    • [cs.CY]Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
    • [cs.DB]AutoER: Automated Entity Resolution using Generative Modelling
    • [cs.DC]Distributed Backup Placement in One Round and its Applications to Maximum Matching Approximation and Self-Stabilization
    • [cs.DC]Distributed Edge Partitioning for Trillion-edge Graphs
    • [cs.DC]Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions (Technical Report)
    • [cs.DC]Resolvable Designs for Speeding up Distributed Computing
    • [cs.DC]Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
    • [cs.DC]stdgpu: Efficient STL-like Data Structures on the GPU
    • [cs.IR]Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks
    • [cs.IT]A Unified Framework for Constructing Centralized Coded Caching Schemes
    • [cs.IT]Distilling On-Device Intelligence at the Network Edge
    • [cs.IT]Edge Computing-Enabled Cell-Free Massive MIMO Systems
    • [cs.IT]Efficient Flicker-Free FEC Codes using Knuth’s Balancing Algorithm for VLC
    • [cs.IT]Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime
    • [cs.IT]PHY Research Is Sick but Curable: An Empirical Analysis
    • [cs.IT]Polar Codes: Analysis and Construction Based on Polar Spectrum
    • [cs.LG]A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
    • [cs.LG]AI Predicts Independent Construction Safety Outcomes from Universal Attributes
    • [cs.LG]Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games
    • [cs.LG]Convex geometry of the Coding problem for error constrained Dictionary Learning
    • [cs.LG]Effect of Activation Functions on the Training of Overparametrized Neural Nets
    • [cs.LG]Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
    • [cs.LG]Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs
    • [cs.LG]Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It
    • [cs.LG]Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators
    • [cs.LG]Iterative Neural Networks with Bounded Weights
    • [cs.LG]Linear Stochastic Bandits Under Safety Constraints
    • [cs.LG]M-BERT: Injecting Multimodal Information in the BERT Structure
    • [cs.LG]Model-based Lookahead Reinforcement Learning
    • [cs.LG]Multitask and Transfer Learning for Autotuning Exascale Applications
    • [cs.LG]N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding
    • [cs.LG]NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization
    • [cs.LG]Performing Deep Recurrent Double Q-Learning for Atari Games
    • [cs.LG]ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search
    • [cs.LG]The Partial Response Network
    • [cs.NI]On-Demand Routing for Urban VANETs using Cooperating UAVs
    • [cs.RO]AGDC: Automatic Garbage Detection and Collection
    • [cs.RO]Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units
    • [cs.SD]Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
    • [cs.SI]A Survey on Computational Politics
    • [cs.SI]Higher-Order Visualization of Causal Structures in Dynamics Graphs
    • [eess.IV]Empirical Bayesian Mixture Models for Medical Image Translation
    • [eess.IV]MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints
    • [eess.IV]Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
    • [eess.IV]Multi-step Cascaded Networks for Brain Tumor Segmentation
    • [eess.SY]Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations
    • [math.OC]Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework
    • [math.ST]Isotonic regression discontinuity designs
    • [math.ST]On identifiability and consistency of the nugget in Gaussian spatial process models
    • [math.ST]Regularization of linear ill-posed problems involving multiplication operators
    • [math.ST]Stochastic Comparisons of Series and Parallel Systems with Topp-Leone Generated Family of Distributions
    • [math.ST]The generalization error of random features regression: Precise asymptotics and double descent curve
    • [physics.ao-ph]Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
    • [physics.comp-ph]A Shift Selection Strategy for Parallel Shift-Invert Spectrum Slicing in Symmetric Self-Consistent Eigenvalue Computation
    • [physics.med-ph]Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy
    • [physics.soc-ph]Homophily on social networks changes evolutionary advantage in competitive information diffusion
    • [physics.soc-ph]On community structure in complex networks: challenges and opportunities
    • [stat.AP]A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart
    • [stat.ME]A Model of a Randomized Experiment with an Application to the PROWESS Clinical Trial
    • [stat.ME]Bayesian design and analysis of external pilot trials for complex interventions
    • [stat.ME]Counting Defiers
    • [stat.ME]Pearson Distance is not a Distance
    • [stat.ME]Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)
    • [stat.ML]An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
    • [stat.ML]Attending to Future Tokens For Bidirectional Sequence Generation
    • [stat.ML]Kernel Sketching yields Kernel JL
    • [stat.ML]Regression on imperfect class labels derived by unsupervised clustering
    • [stat.ML]Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers

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

    • [cs.AI]Exploring Properties of Icosoku by Constraint Satisfaction Approach
    Ke Liu, Sven Löffler, Petra Hofstedt
    http://arxiv.org/abs/1908.06003v1

    • [cs.AI]The Regularization of Small Sub-Constraint Satisfaction Problems
    Sven Löffler, Ke Liu, Petra Hofstedt
    http://arxiv.org/abs/1908.05907v1

    • [cs.CG]Parallel Computation of Alpha Complex for Biomolecules
    Talha Bin Masood, Tathagata Ray, Vijay Natarajan
    http://arxiv.org/abs/1908.05944v1

    • [cs.CL]Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
    Ari Z. Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez
    http://arxiv.org/abs/1908.06015v1

    • [cs.CL]BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
    Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu
    http://arxiv.org/abs/1908.05908v1

    • [cs.CL]Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding
    Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis
    http://arxiv.org/abs/1908.06006v1

    • [cs.CL]Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
    Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu
    http://arxiv.org/abs/1908.05957v1

    • [cs.CL]Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
    Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu
    http://arxiv.org/abs/1908.05859v1

    • [cs.CL]Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation
    Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli
    http://arxiv.org/abs/1908.05762v1

    • [cs.CL]Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach
    Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon
    http://arxiv.org/abs/1908.05854v1

    • [cs.CL]Few-shot Text Classification with Distributional Signatures
    Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
    http://arxiv.org/abs/1908.06039v1

    • [cs.CL]How Sequence-to-Sequence Models Perceive Language Styles?
    Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng
    http://arxiv.org/abs/1908.05947v1

    • [cs.CL]Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
    Zihan Liu, Yan Xu, Genta Indra Winata, Pascale Fung
    http://arxiv.org/abs/1908.05925v1

    • [cs.CL]Named Entity Recognition for Nepali Language
    Oyesh Mann Singh, Ankur Padia, Anupam Joshi
    http://arxiv.org/abs/1908.05828v1

    • [cs.CL]Pushing the Limits of Low-Resource Morphological Inflection
    Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/1908.05838v1

    • [cs.CL]Reasoning Over Paragraph Effects in Situations
    Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
    http://arxiv.org/abs/1908.05852v1

    • [cs.CL]Simplify the Usage of Lexicon in Chinese NER
    Minlong Peng, Ruotian Ma, Qi Zhang, Xuanjing Huang
    http://arxiv.org/abs/1908.05969v1

    • [cs.CL]Sketch-Driven Regular Expression Generation from Natural Language and Examples
    Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett
    http://arxiv.org/abs/1908.05848v1

    • [cs.CR]All About Phishing: Exploring User Research through a Systematic Literature Review
    Sanchari Das, Andrew Kim, Zachary Tingle, Christena Nippert-Eng
    http://arxiv.org/abs/1908.05897v1

    • [cs.CR]Evaluating User Perception of Multi-Factor Authentication: A Systematic Review
    Sanchari Das, Bingxing Wang, Zachary Tingle, L. Jean Camp
    http://arxiv.org/abs/1908.05901v1

    • [cs.CR]MFA is a Waste of Time! Understanding Negative Connotation Towards MFA Applications via User Generated Content
    Sanchari Das, Bingxing Wang, L. Jean Camp
    http://arxiv.org/abs/1908.05902v1

    • [cs.CR]Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
    Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti
    http://arxiv.org/abs/1908.05759v1

    • [cs.CV]A Cooperative Autoencoder for Population-BasedRegularization of CNN Image Registration
    Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker
    http://arxiv.org/abs/1908.05825v1

    • [cs.CV]Adversarial point perturbations on 3D objects
    Daniel Liu, Ronald Yu, Hao Su
    http://arxiv.org/abs/1908.06062v1

    • [cs.CV]Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation
    Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem
    http://arxiv.org/abs/1908.06079v1

    • [cs.CV]Context-Aware Emotion Recognition Networks
    Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn
    http://arxiv.org/abs/1908.05913v1

    • [cs.CV]Cross-Domain Adaptation for Animal Pose Estimation
    Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai
    http://arxiv.org/abs/1908.05806v1

    • [cs.CV]Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks
    Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
    http://arxiv.org/abs/1908.05867v1

    • [cs.CV]Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
    Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen
    http://arxiv.org/abs/1908.05900v1

    • [cs.CV]FSGAN: Subject Agnostic Face Swapping and Reenactment
    Yuval Nirkin, Yosi Keller, Tal Hassner
    http://arxiv.org/abs/1908.05932v1

    • [cs.CV]GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
    Jue Wang, Anoop Cherian
    http://arxiv.org/abs/1908.05884v1

    • [cs.CV]Learning Deep Representations by Mutual Information for Person Re-identification
    Peng Chen, Tong Jia, Pengfei Wu, Jianjun Wu, Dongyue Chen
    http://arxiv.org/abs/1908.05860v1

    • [cs.CV]Mixed High-Order Attention Network for Person Re-Identification
    Binghui Chen, Weihong Deng, Jiani Hu
    http://arxiv.org/abs/1908.05819v1

    • [cs.CV]Needles in Haystacks: On Classifying Tiny Objects in Large Images
    Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
    http://arxiv.org/abs/1908.06037v1

    • [cs.CV]Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
    Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou
    http://arxiv.org/abs/1908.05898v1

    • [cs.CV]Pseudo-task Regularization for ConvNet Transfer Learning
    Yang Zhong, Atsuto Maki
    http://arxiv.org/abs/1908.05997v1

    • [cs.CV]Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
    Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang
    http://arxiv.org/abs/1908.06052v1

    • [cs.CV]Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data
    Ahmadreza Baghaie
    http://arxiv.org/abs/1908.06047v1

    • [cs.CV]See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion
    Lei Sun, Kaiwei Wang, Kailun Yang, Kaite Xiang
    http://arxiv.org/abs/1908.05868v1

    • [cs.CV]Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation
    Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe
    http://arxiv.org/abs/1908.05794v1

    • [cs.CV]Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
    Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo
    http://arxiv.org/abs/1908.05840v1

    • [cs.CV]The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors
    Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas
    http://arxiv.org/abs/1908.05861v1

    • [cs.CV]Transferable Contrastive Network for Generalized Zero-Shot Learning
    Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1908.05832v1

    • [cs.CV]Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training
    Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou
    http://arxiv.org/abs/1908.06066v1

    • [cs.CV]Zero-Shot Crowd Behavior Recognition
    Xun Xu, Shaogang Gong, Timothy Hospedales
    http://arxiv.org/abs/1908.05877v1

    • [cs.CV]daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices
    Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, Tao Mei
    http://arxiv.org/abs/1908.05858v1

    • [cs.CY]Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing
    Anindya Maiti, Nisha Vinayaga-Sureshkanth, Murtuza Jadliwala, Raveen Wijewickrama
    http://arxiv.org/abs/1908.05846v1

    • [cs.CY]Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
    Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
    http://arxiv.org/abs/1908.05780v1

    • [cs.DB]AutoER: Automated Entity Resolution using Generative Modelling
    Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
    http://arxiv.org/abs/1908.06049v1

    • [cs.DC]Distributed Backup Placement in One Round and its Applications to Maximum Matching Approximation and Self-Stabilization
    Leonid Barenboim, Gal Oren
    http://arxiv.org/abs/1908.05700v1

    • [cs.DC]Distributed Edge Partitioning for Trillion-edge Graphs
    Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan, Elvis Liu, Georgios Theodoropoulos, Wentong Cai
    http://arxiv.org/abs/1908.05855v1

    • [cs.DC]Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions (Technical Report)
    Tim Soethout, Jurgen Vinju, Tijs van der Storm
    http://arxiv.org/abs/1908.05940v1

    • [cs.DC]Resolvable Designs for Speeding up Distributed Computing
    Konstantinos Konstantinidis, Aditya Ramamoorthy
    http://arxiv.org/abs/1908.05666v1

    • [cs.DC]Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
    Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Wonchan Lee, Qinglei Cao, George Bosilca, Seema Mirchandaney, Sean Treichler, Patrick McCormick, Alex Aiken
    http://arxiv.org/abs/1908.05790v1

    • [cs.DC]stdgpu: Efficient STL-like Data Structures on the GPU
    Patrick Stotko
    http://arxiv.org/abs/1908.05936v1

    • [cs.IR]Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks
    Guannan Liu, Liang Zhang
    http://arxiv.org/abs/1908.05928v1

    • [cs.IT]A Unified Framework for Constructing Centralized Coded Caching Schemes
    Minquan Cheng, Jiyu Wang, Xi Zhong
    http://arxiv.org/abs/1908.05865v1

    • [cs.IT]Distilling On-Device Intelligence at the Network Edge
    Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis
    http://arxiv.org/abs/1908.05895v1

    • [cs.IT]Edge Computing-Enabled Cell-Free Massive MIMO Systems
    Sudarshan Mukherjee, Jemin Lee
    http://arxiv.org/abs/1908.05857v1

    • [cs.IT]Efficient Flicker-Free FEC Codes using Knuth’s Balancing Algorithm for VLC
    Elie Ngomseu Mambou, Thibaud Tonnellier, Seyyed Ali Hashemi, Warren J. Gross
    http://arxiv.org/abs/1908.05798v1

    • [cs.IT]Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime
    Li Xie, Xiaolan Tu, Siyao Zhou, Jun Chen
    http://arxiv.org/abs/1908.05713v1

    • [cs.IT]PHY Research Is Sick but Curable: An Empirical Analysis
    Kevin Luo, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini
    http://arxiv.org/abs/1908.06035v1

    • [cs.IT]Polar Codes: Analysis and Construction Based on Polar Spectrum
    Kai Niu, Yan Li, Weiling Wu
    http://arxiv.org/abs/1908.05889v1

    • [cs.LG]A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
    Meng Tang, Yimin Liu, Louis J. Durlofsky
    http://arxiv.org/abs/1908.05823v1

    • [cs.LG]AI Predicts Independent Construction Safety Outcomes from Universal Attributes
    Henrietta Baker, Matthew R. Hallowell, Antoine J. -P. Tixier
    http://arxiv.org/abs/1908.05972v1

    • [cs.LG]Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games
    Guojun Zhang, Yaoliang Yu
    http://arxiv.org/abs/1908.05699v1

    • [cs.LG]Convex geometry of the Coding problem for error constrained Dictionary Learning
    Mohammed Rayyan Sheriff, Debasish Chatterjee
    http://arxiv.org/abs/1908.06065v1

    • [cs.LG]Effect of Activation Functions on the Training of Overparametrized Neural Nets
    Abhishek Panigrahi, Abhishek Shetty, Navin Goyal
    http://arxiv.org/abs/1908.05660v1

    • [cs.LG]Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
    Johannes Günther, Nadia M. Ady, Alex Kearney, Michael R. Dawson, Patrick M. Pilarski
    http://arxiv.org/abs/1908.05751v1

    • [cs.LG]Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs
    Xin Yao, Tianchi Huang, Chenglei Wu, Rui-xiao Zhang, Lifeng Sun
    http://arxiv.org/abs/1908.05891v1

    • [cs.LG]Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It
    Grzegorz Dudek
    http://arxiv.org/abs/1908.05864v1

    • [cs.LG]Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators
    Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch
    http://arxiv.org/abs/1908.05744v1

    • [cs.LG]Iterative Neural Networks with Bounded Weights
    Tomasz Piotrowski, Krzysztof Rykaczewski
    http://arxiv.org/abs/1908.05982v1

    • [cs.LG]Linear Stochastic Bandits Under Safety Constraints
    Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
    http://arxiv.org/abs/1908.05814v1

    • [cs.LG]M-BERT: Injecting Multimodal Information in the BERT Structure
    Wasifur Rahman, Md Kamrul Hasan, Amir Zadeh, Louis-Philippe Morency, Mohammed Ehsan Hoque
    http://arxiv.org/abs/1908.05787v1

    • [cs.LG]Model-based Lookahead Reinforcement Learning
    Zhang-Wei Hong, Joni Pajarinen, Jan Peters
    http://arxiv.org/abs/1908.06012v1

    • [cs.LG]Multitask and Transfer Learning for Autotuning Exascale Applications
    Wissam M. Sid-Lakhdar, Mohsen Mahmoudi Aznaveh, Xiaoye S. Li, James W. Demmel
    http://arxiv.org/abs/1908.05792v1

    • [cs.LG]N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding
    Ryan McConville, Raul Santos-Rodriguez, Robert J Piechocki, Ian Craddock
    http://arxiv.org/abs/1908.05968v1

    • [cs.LG]NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization
    Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy
    http://arxiv.org/abs/1908.06077v1

    • [cs.LG]Performing Deep Recurrent Double Q-Learning for Atari Games
    Felipe Moreno-Vera
    http://arxiv.org/abs/1908.06040v1

    • [cs.LG]ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search
    Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu
    http://arxiv.org/abs/1908.06022v1

    • [cs.LG]The Partial Response Network
    Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Ivan Olier
    http://arxiv.org/abs/1908.05978v1

    • [cs.NI]On-Demand Routing for Urban VANETs using Cooperating UAVs
    Omar Sami Oubbati, Noureddine Chaib, Abderrahmane Lakas, Salim Bitam
    http://arxiv.org/abs/1908.05905v1

    • [cs.RO]AGDC: Automatic Garbage Detection and Collection
    Siddhant Bansal, Seema Patel, Ishita Shah, Prof. Alpesh Patel, Prof. Jagruti Makwana, Dr. Rajesh Thakker
    http://arxiv.org/abs/1908.05849v1

    • [cs.RO]Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units
    Jabez L. Kit, Audelia G. Dharmawan, David Mateo, Shaohui Foong, Gim Song Soh, Roland Bouffanais, Kristin L. Wood
    http://arxiv.org/abs/1908.05822v1

    • [cs.SD]Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion
    Tianhao Qiao, Shunqing Zhang, Zhichao Zhang, Shan Cao, Shugong Xu
    http://arxiv.org/abs/1908.05863v1

    • [cs.SI]A Survey on Computational Politics
    Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui
    http://arxiv.org/abs/1908.06069v1

    • [cs.SI]Higher-Order Visualization of Causal Structures in Dynamics Graphs
    Vincenzo Perri, Ingo Scholtes
    http://arxiv.org/abs/1908.05976v1

    • [eess.IV]Empirical Bayesian Mixture Models for Medical Image Translation
    Mikael Brudfors, John Ashburner, Parashkev Nachev, Yael Balbastre
    http://arxiv.org/abs/1908.05926v1

    • [eess.IV]MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints
    Ouwen Huang, Will Long, Nick Bottenus, Gregg E. Trahey, Sina Farsiu, Mark L. Palmeri
    http://arxiv.org/abs/1908.05782v1

    • [eess.IV]Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
    Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardos
    http://arxiv.org/abs/1908.05959v1

    • [eess.IV]Multi-step Cascaded Networks for Brain Tumor Segmentation
    Xiangyu Li, Gongning Luo, Kuanquan Wang
    http://arxiv.org/abs/1908.05887v1

    • [eess.SY]Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations
    Sepehr Seyedi, Yasin Yazicioglu, Derya Aksaray
    http://arxiv.org/abs/1908.05727v1

    • [math.OC]Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework
    Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego
    http://arxiv.org/abs/1908.06010v1

    • [math.ST]Isotonic regression discontinuity designs
    Andrii Babii, Rohit Kumar
    http://arxiv.org/abs/1908.05752v1

    • [math.ST]On identifiability and consistency of the nugget in Gaussian spatial process models
    Wenpin Tang, Lu Zhang, Sudipto Banerjee
    http://arxiv.org/abs/1908.05726v1

    • [math.ST]Regularization of linear ill-posed problems involving multiplication operators
    Peter Mathé, M. Thamban Nair, Bernd Hofmann
    http://arxiv.org/abs/1908.05871v1

    • [math.ST]Stochastic Comparisons of Series and Parallel Systems with Topp-Leone Generated Family of Distributions
    Ruby Chanchal, Vaishali Gupta, Amit Kumar Misra
    http://arxiv.org/abs/1908.05896v1

    • [math.ST]The generalization error of random features regression: Precise asymptotics and double descent curve
    Song Mei, Andrea Montanari
    http://arxiv.org/abs/1908.05355v2

    • [physics.ao-ph]Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
    Tai-Long He, Dylan B. A. Jones, Binxuan Huang, Yuyang Liu, Kazuyuki Miyazaki, Zhe Jiang, E. Charlie White, Helen M. Worden, John R. Worden
    http://arxiv.org/abs/1908.05841v1

    • [physics.comp-ph]A Shift Selection Strategy for Parallel Shift-Invert Spectrum Slicing in Symmetric Self-Consistent Eigenvalue Computation
    David B. Williams-Young, Paul G. Beckman, Chao Yang
    http://arxiv.org/abs/1908.06043v1

    • [physics.med-ph]Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy
    Dan Nguyen, Rafe McBeth, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve Jiang
    http://arxiv.org/abs/1908.05874v1

    • [physics.soc-ph]Homophily on social networks changes evolutionary advantage in competitive information diffusion
    Longzhao Liu, Xin Wang, Yi Zheng, Wenyi Fang, Shaoting Tang, Zhiming Zheng
    http://arxiv.org/abs/1908.05992v1

    • [physics.soc-ph]On community structure in complex networks: challenges and opportunities
    Hocine Cherifi, Gergely Palla, Boleslaw K. Szymanski, Xiaoyan Lu
    http://arxiv.org/abs/1908.04901v2

    • [stat.AP]A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart
    Jieying Jiao, Guanyu Hu, Jun Yan
    http://arxiv.org/abs/1908.05745v1

    • [stat.ME]A Model of a Randomized Experiment with an Application to the PROWESS Clinical Trial
    Amanda Kowalski
    http://arxiv.org/abs/1908.05810v1

    • [stat.ME]Bayesian design and analysis of external pilot trials for complex interventions
    Duncan T. Wilson, Rebecca E. A. Walwyn, James M. S. Wason, Julia Brown, Amanda J. Farrin
    http://arxiv.org/abs/1908.05955v1

    • [stat.ME]Counting Defiers
    Amanda Kowalski
    http://arxiv.org/abs/1908.05811v1

    • [stat.ME]Pearson Distance is not a Distance
    Victor Solo
    http://arxiv.org/abs/1908.06029v1

    • [stat.ME]Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)
    Fan Yin, Nolan Edward Phillips, Carter T. Butts
    http://arxiv.org/abs/1908.05873v1

    • [stat.ML]An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
    Xueying Tang, Zhi Wang, Jingchen Liu, Zhiliang Ying
    http://arxiv.org/abs/1908.06075v1

    • [stat.ML]Attending to Future Tokens For Bidirectional Sequence Generation
    Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
    http://arxiv.org/abs/1908.05915v1

    • [stat.ML]Kernel Sketching yields Kernel JL
    Samory Kpotufe, Bharath K. Sriperumbudur
    http://arxiv.org/abs/1908.05818v1

    • [stat.ML]Regression on imperfect class labels derived by unsupervised clustering
    Rasmus Froberg Brøndum, Thomas Yssing Michaelsen, Martin Bøgsted
    http://arxiv.org/abs/1908.05885v1

    • [stat.ML]Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers
    Laurent Risser, Quentin Vincenot, Nicolas Couellan, Jean-Michel Loubes
    http://arxiv.org/abs/1908.05783v1