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
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• [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