cs.AI - 人工智能
cs.CC - 计算复杂度 cs.CL - 计算与语言 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.ST - 统计理论 physics.bio-ph - 生物物理 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 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
• [cs.AI]Interactive Collaborative Exploration using Incomplete Contexts
• [cs.CC]Complexity and Geometry of Sampling Connected Graph Partitions
• [cs.CL]Deep Learning Based Chatbot Models
• [cs.CL]Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
• [cs.CL]Hierarchically-Refined Label Attention Network for Sequence Labeling
• [cs.CL]Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model
• [cs.CL]Neural Poetry: Learning to Generate Poems using Syllables
• [cs.CL]Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI’s gpt2 Transformer Model
• [cs.CL]Unsupervised Text Summarization via Mixed Model Back-Translation
• [cs.CV]A BLSTM Network for Printed Bengali OCR System with High Accuracy
• [cs.CV]A Review of Point Cloud Semantic Segmentation
• [cs.CV]AdvHat: Real-world adversarial attack on ArcFace Face ID system
• [cs.CV]Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
• [cs.CV]Crowd Counting with Deep Structured Scale Integration Network
• [cs.CV]DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
• [cs.CV]Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
• [cs.CV]Generating High-Resolution Fashion Model Images Wearing Custom Outfits
• [cs.CV]Learning Filter Basis for Convolutional Neural Network Compression
• [cs.CV]Learning Similarity Conditions Without Explicit Supervision
• [cs.CV]Multi-Spectral Visual Odometry without Explicit Stereo Matching
• [cs.CV]Mutual information neural estimation in CNN-based end-to-end medical image registration
• [cs.CV]Onion-Peel Networks for Deep Video Completion
• [cs.CV]Region Tracking in an Image Sequence: Preventing Driver Inattention
• [cs.CV]Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry
• [cs.CV]Shadow Removal via Shadow Image Decomposition
• [cs.CV]Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
• [cs.CV]Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
• [cs.CY]A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue
• [cs.CY]AI and Accessibility: A Discussion of Ethical Considerations
• [cs.CY]Analysis of User Dwell Time by Category in News Application
• [cs.CY]On the importance of system-view centric validation for the design and operation of a crypto-based digital economy
• [cs.CY]Tracking Behavioral Patterns among Students in an Online Educational System
• [cs.CY]Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)
• [cs.DB]Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search
• [cs.DC]Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping
• [cs.DC]Simulation of Quantum Many-Body Systems on Amazon Cloud
• [cs.HC]Stackelberg Punishment and Bully-Proofing Autonomous Vehicles
• [cs.IR]DC3 — A Diagnostic Case Challenge Collection for Clinical Decision Support
• [cs.IR]Improving Few-shot Text Classification via Pretrained Language Representations
• [cs.IR]Intent term selection and refinement in e-commerce queries
• [cs.IR]Song Hit Prediction: Predicting Billboard Hits Using Spotify Data
• [cs.IT]A novel approach to multivariate redundancy and synergy
• [cs.IT]Beating the probabilistic lower bound on perfect hashing
• [cs.IT]Beyond the Channel Capacity of BPSK Input
• [cs.IT]Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness
• [cs.IT]On the minimum weights of ternary linear complementary dual codes
• [cs.IT]Remark on subcodes of linear complementary dual codes
• [cs.LG]$α$ Belief Propagation as Fully Factorized Approximation
• [cs.LG]Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
• [cs.LG]Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
• [cs.LG]Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
• [cs.LG]Fairness in Deep Learning: A Computational Perspective
• [cs.LG]Feedbackward Decoding for Semantic Segmentation
• [cs.LG]Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems
• [cs.LG]Lukthung Classification Using Neural Networks on Lyrics and Audios
• [cs.LG]MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
• [cs.LG]Mish: A Self Regularized Non-Monotonic Neural Activation Function
• [cs.LG]Quadratic Surface Support Vector Machine with L1 Norm Regularization
• [cs.LG]QuicK-means: Acceleration of K-means by learning a fast transform
• [cs.LG]Reinforcement Learning in Healthcare: A Survey
• [cs.LG]Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs
• [cs.LG]Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper
• [cs.MA]Immediate Observation in Mediated Population Protocols
• [cs.MA]Semantic Structures for Spatially-Distributed Multi-Agent Systems
• [cs.NE]Runtime Analysis of Fitness-Proportionate Selection on Linear Functions
• [cs.NE]Spiking Neural Predictive Coding for Continual Learning from Data Streams
• [cs.NI]Multiple D2D Multicasts in Underlay Cellular Networks
• [cs.NI]Network-Accelerated Non-Contiguous Memory Transfers
• [cs.RO]A Comparison of Action Spaces for Learning Manipulation Tasks
• [cs.RO]A Robust Regression Approach for Robot Model Learning
• [cs.RO]Flexible Trinocular: Non-rigid Multi-Camera-IMU Dense Reconstruction for UAV Navigation and Mapping
• [cs.RO]Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots
• [cs.RO]Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
• [cs.SE]Automated Generation of Test Models from Semi-Structured Requirements
• [cs.SI]Delivering Scientific Influence Analysis as a Service on Research Grants Repository
• [cs.SI]From Community to Role-based Graph Embeddings
• [cs.SI]Linear response theory for Google matrix
• [cs.SI]On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts
• [cs.SI]Toward Maximizing the Visibility of Content in Social Media Brand Pages: A Temporal Analysis
• [econ.GN]Economically rational sample-size choice and irreproducibility
• [eess.AS]Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation
• [eess.IV]A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
• [eess.IV]Assessing Knee OA Severity with CNN attention-based end-to-end architectures
• [eess.IV]Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
• [eess.IV]Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images
• [eess.IV]Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
• [eess.SP]Gaussian implementation of the multi-Bernoulli mixture filter
• [eess.SP]Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison
• [eess.SP]Spooky effect in optimal OSPA estimation and how GOSPA solves it
• [math.ST]Conformal prediction with localization
• [math.ST]Graphical Construction of Spatial Gibbs Random Graphs
• [math.ST]On the asymptotic properties of SLOPE
• [math.ST]On the estimation of high-dimensional integrated covariance matrix based on high-frequency data with multiple transactions
• [math.ST]Sparse Additive Gaussian Process Regression
• [physics.bio-ph]Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet
• [physics.chem-ph]Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground
• [physics.soc-ph]Dissent and Rebellion in the House of Commons: A Social Network Analysis of Brexit-Related Divisions in the 57$^{ th}$ Parliament
• [q-bio.QM]Exact inference under the perfect phylogeny model
• [quant-ph]Predicting Features of Quantum Systems using Classical Shadows
• [stat.AP]Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach
• [stat.CO]Accelerating proximal Markov chain Monte Carlo by using explicit stabilised methods
• [stat.ME]A relation between log-likelihood and cross-validation log-scores
• [stat.ME]BdryGP: a new Gaussian process model for incorporating boundary information
• [stat.ME]M-type penalized splines for functional linear regression
• [stat.ME]On Poisson-exponential-Tweedie models for ultra-overdispersed data
• [stat.ME]Regression Analysis of Unmeasured Confounding
• [stat.ML]Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized
• [stat.ML]Increasing the Generalisaton Capacity of Conditional VAEs
• [stat.ML]Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
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• [cs.AI]Interactive Collaborative Exploration using Incomplete Contexts
Maximilian Felde, Gerd Stumme
http://arxiv.org/abs/1908.08740v1
• [cs.CC]Complexity and Geometry of Sampling Connected Graph Partitions
Lorenzo Najt, Daryl DeFord, Justin Solomon
http://arxiv.org/abs/1908.08881v1
• [cs.CL]Deep Learning Based Chatbot Models
Richard Csaky
http://arxiv.org/abs/1908.08835v1
• [cs.CL]Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
Mahault Garnerin, Solange Rossato, Laurent Besacier
http://arxiv.org/abs/1908.08717v1
• [cs.CL]Hierarchically-Refined Label Attention Network for Sequence Labeling
Leyang Cui, Yue Zhang
http://arxiv.org/abs/1908.08676v1
• [cs.CL]Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model
Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang
http://arxiv.org/abs/1908.08672v1
• [cs.CL]Neural Poetry: Learning to Generate Poems using Syllables
Andrea Zugarini, Stefano Melacci, Marco Maggini
http://arxiv.org/abs/1908.08861v1
• [cs.CL]Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI’s gpt2 Transformer Model
Matthias von Davier
http://arxiv.org/abs/1908.08594v1
• [cs.CL]Unsupervised Text Summarization via Mixed Model Back-Translation
Yacine Jernite
http://arxiv.org/abs/1908.08566v1
• [cs.CV]A BLSTM Network for Printed Bengali OCR System with High Accuracy
Debabrata Paul, Bidyut Baran Chaudhuri
http://arxiv.org/abs/1908.08674v1
• [cs.CV]A Review of Point Cloud Semantic Segmentation
Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu
http://arxiv.org/abs/1908.08854v1
• [cs.CV]AdvHat: Real-world adversarial attack on ArcFace Face ID system
Stepan Komkov, Aleksandr Petiushko
http://arxiv.org/abs/1908.08705v1
• [cs.CV]Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang
http://arxiv.org/abs/1908.08841v1
• [cs.CV]Crowd Counting with Deep Structured Scale Integration Network
Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin
http://arxiv.org/abs/1908.08692v1
• [cs.CV]DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Baocai Yin, Qiang Zhang, Xiaopeng Wei
http://arxiv.org/abs/1908.08837v1
• [cs.CV]Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E O’ Connor
http://arxiv.org/abs/1908.08840v1
• [cs.CV]Generating High-Resolution Fashion Model Images Wearing Custom Outfits
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
http://arxiv.org/abs/1908.08847v1
• [cs.CV]Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/1908.08932v1
• [cs.CV]Learning Similarity Conditions Without Explicit Supervision
Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer
http://arxiv.org/abs/1908.08589v1
• [cs.CV]Multi-Spectral Visual Odometry without Explicit Stereo Matching
Weichen Dai, Yu Zhang, Donglei Sun, Naira Hovakimyan, Ping Li
http://arxiv.org/abs/1908.08814v1
• [cs.CV]Mutual information neural estimation in CNN-based end-to-end medical image registration
Yechong Huang, Tao Song, Jieru Zhu, Wenqi Luo, Jiahang Xu, Xiahai Zhuang
http://arxiv.org/abs/1908.08767v1
• [cs.CV]Onion-Peel Networks for Deep Video Completion
Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim
http://arxiv.org/abs/1908.08718v1
• [cs.CV]Region Tracking in an Image Sequence: Preventing Driver Inattention
Matthew Kowal, Gillian Sandison, Len Yabuki-Soh, Raner la Bastide
http://arxiv.org/abs/1908.08914v1
• [cs.CV]Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry
Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha
http://arxiv.org/abs/1908.08704v1
• [cs.CV]Shadow Removal via Shadow Image Decomposition
Hieu Le, Dimitris Samaras
http://arxiv.org/abs/1908.08628v1
• [cs.CV]Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudrealt, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris
http://arxiv.org/abs/1908.08597v1
• [cs.CV]Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
Manh Huynh, Gita Alaghband
http://arxiv.org/abs/1908.08908v1
• [cs.CY]A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue
Daisuke Moriwaki, Komei Fujita, Shota Yasui, Takahiro Hoshino
http://arxiv.org/abs/1908.08936v1
• [cs.CY]AI and Accessibility: A Discussion of Ethical Considerations
Meredith Ringel Morris
http://arxiv.org/abs/1908.08939v1
• [cs.CY]Analysis of User Dwell Time by Category in News Application
Yoshifumi Seki, Mitsuo Yoshida
http://arxiv.org/abs/1908.08690v1
• [cs.CY]On the importance of system-view centric validation for the design and operation of a crypto-based digital economy
Alexander Poddey, Nik Scharmann
http://arxiv.org/abs/1908.08675v1
• [cs.CY]Tracking Behavioral Patterns among Students in an Online Educational System
Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup
http://arxiv.org/abs/1908.08937v1
• [cs.CY]Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)
Euclides C. Pinto Neto, Derick M. Baum, Jorge Rady de Almeida Junior, João Batista Camargo Junior, Paulo Sérgio Cugnasca
http://arxiv.org/abs/1908.08651v1
• [cs.DB]Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search
Stephan S. Lorenzen, Ninh Pham
http://arxiv.org/abs/1908.08656v1
• [cs.DC]Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping
Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi
http://arxiv.org/abs/1908.08774v1
• [cs.DC]Simulation of Quantum Many-Body Systems on Amazon Cloud
Justin A. Reyes, Eduardo R. Mucciolo, Dan Marinescu
http://arxiv.org/abs/1908.08553v1
• [cs.HC]Stackelberg Punishment and Bully-Proofing Autonomous Vehicles
Matt Cooper, Jun Ki Lee, Jacob Beck, Joshua D. Fishman, Michael Gillett, Zoë Papakipos, Aaron Zhang, Jerome Ramos, Aansh Shah, Michael L. Littman
http://arxiv.org/abs/1908.08641v1
• [cs.IR]DC3 — A Diagnostic Case Challenge Collection for Clinical Decision Support
Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser
http://arxiv.org/abs/1908.08581v1
• [cs.IR]Improving Few-shot Text Classification via Pretrained Language Representations
Ningyu Zhang, Zhanlin Sun, Shumin Deng, Jiaoyan Chen, Huajun Chen
http://arxiv.org/abs/1908.08788v1
• [cs.IR]Intent term selection and refinement in e-commerce queries
Saurav Manchanda, Mohit Sharma, George Karypis
http://arxiv.org/abs/1908.08564v1
• [cs.IR]Song Hit Prediction: Predicting Billboard Hits Using Spotify Data
Kai Middlebrook, Kian Sheik
http://arxiv.org/abs/1908.08609v1
• [cs.IT]A novel approach to multivariate redundancy and synergy
Artemy Kolchinsky
http://arxiv.org/abs/1908.08642v1
• [cs.IT]Beating the probabilistic lower bound on perfect hashing
Chaoping Xing, Chen Yuan
http://arxiv.org/abs/1908.08792v1
• [cs.IT]Beyond the Channel Capacity of BPSK Input
Bingli Jiao, Dongsheng Zheng, Mingxi Yin, Yuli Yang
http://arxiv.org/abs/1908.08836v1
• [cs.IT]Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness
Deepak Mishra, Erik G. Larsson
http://arxiv.org/abs/1908.08748v1
• [cs.IT]On the minimum weights of ternary linear complementary dual codes
Makoto Araya, Masaaki Harada
http://arxiv.org/abs/1908.08661v1
• [cs.IT]Remark on subcodes of linear complementary dual codes
Masaaki Harada, Ken Saito
http://arxiv.org/abs/1908.08662v1
• [cs.LG]$α$ Belief Propagation as Fully Factorized Approximation
Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
http://arxiv.org/abs/1908.08906v1
• [cs.LG]Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
http://arxiv.org/abs/1908.08563v1
• [cs.LG]Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka
http://arxiv.org/abs/1908.08771v1
• [cs.LG]Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
http://arxiv.org/abs/1908.08619v1
• [cs.LG]Fairness in Deep Learning: A Computational Perspective
Mengnan Du, Fan Yang, Na Zou, Xia Hu
http://arxiv.org/abs/1908.08843v1
• [cs.LG]Feedbackward Decoding for Semantic Segmentation
Beinan Wang, John Glossner, Daniel Iancu, Georgi N. Gaydadjiev
http://arxiv.org/abs/1908.08584v1
• [cs.LG]Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang
http://arxiv.org/abs/1908.08733v1
• [cs.LG]Lukthung Classification Using Neural Networks on Lyrics and Audios
Kawisorn Kamtue, Kasina Euchukanonchai, Dittaya Wanvarie, Naruemon Pratanwanich
http://arxiv.org/abs/1908.08769v1
• [cs.LG]MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh, Kamal Krishna
http://arxiv.org/abs/1908.08652v1
• [cs.LG]Mish: A Self Regularized Non-Monotonic Neural Activation Function
Diganta Misra
http://arxiv.org/abs/1908.08681v1
• [cs.LG]Quadratic Surface Support Vector Machine with L1 Norm Regularization
Seyedahmad Mousavi, Zheming Gao, Lanshan Han, Alvin Lim
http://arxiv.org/abs/1908.08616v1
• [cs.LG]QuicK-means: Acceleration of K-means by learning a fast transform
Luc Giffon, Valentin Emiya, Liva Ralaivola, Hachem Kadri
http://arxiv.org/abs/1908.08713v1
• [cs.LG]Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
http://arxiv.org/abs/1908.08796v1
• [cs.LG]Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs
Daniel T. Chang
http://arxiv.org/abs/1908.08612v1
• [cs.LG]Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper
Muhammad Maaz
http://arxiv.org/abs/1908.08610v1
• [cs.MA]Immediate Observation in Mediated Population Protocols
Tobias Prehn, Myron Rotter
http://arxiv.org/abs/1908.08637v1
• [cs.MA]Semantic Structures for Spatially-Distributed Multi-Agent Systems
Frank Valencia
http://arxiv.org/abs/1908.08634v1
• [cs.NE]Runtime Analysis of Fitness-Proportionate Selection on Linear Functions
Duc-Cuong Dang, Anton Eremeev, Per Kristian Lehre
http://arxiv.org/abs/1908.08686v1
• [cs.NE]Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
http://arxiv.org/abs/1908.08655v1
• [cs.NI]Multiple D2D Multicasts in Underlay Cellular Networks
Ajay Bhardwaj, Samar Agnihotri
http://arxiv.org/abs/1908.08866v1
• [cs.NI]Network-Accelerated Non-Contiguous Memory Transfers
Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler
http://arxiv.org/abs/1908.08590v1
• [cs.RO]A Comparison of Action Spaces for Learning Manipulation Tasks
Patrick Varin, Lev Grossman, Scott Kuindersma
http://arxiv.org/abs/1908.08659v1
• [cs.RO]A Robust Regression Approach for Robot Model Learning
Francesco Cursi, Guang-Zhong Yang
http://arxiv.org/abs/1908.08855v1
• [cs.RO]Flexible Trinocular: Non-rigid Multi-Camera-IMU Dense Reconstruction for UAV Navigation and Mapping
Timo Hinzmann, Cesar Cadena, Juan Nieto, Roland Siegwart
http://arxiv.org/abs/1908.08891v1
• [cs.RO]Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots
Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal
http://arxiv.org/abs/1908.08601v1
• [cs.RO]Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
Joseph D. Greer, Laura H. Blumenschein, Ron Alterovitz, Elliot W. Hawkes, Allison M. Okamura
http://arxiv.org/abs/1908.08645v1
• [cs.SE]Automated Generation of Test Models from Semi-Structured Requirements
Jannik Fischbach, Maximilian Junker, Andreas Vogelsang, Dietmar Freudenstein
http://arxiv.org/abs/1908.08810v1
• [cs.SI]Delivering Scientific Influence Analysis as a Service on Research Grants Repository
Yuming Wang, Yanbo Long, Lai Tu, Ling Liu
http://arxiv.org/abs/1908.08715v1
• [cs.SI]From Community to Role-based Graph Embeddings
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
http://arxiv.org/abs/1908.08572v1
• [cs.SI]Linear response theory for Google matrix
Klaus M. Frahm, Dima L. Shepelyansky
http://arxiv.org/abs/1908.08924v1
• [cs.SI]On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts
Marcell Nagy, Roland Molontay
http://arxiv.org/abs/1908.08429v1
• [cs.SI]Toward Maximizing the Visibility of Content in Social Media Brand Pages: A Temporal Analysis
Nagendra Kumar, Gopi Ande, J. Shirish Kumar, Manish Singh
http://arxiv.org/abs/1908.08622v1
• [econ.GN]Economically rational sample-size choice and irreproducibility
Oliver Braganza
http://arxiv.org/abs/1908.08702v1
• [eess.AS]Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation
Sunwoo Kim, Mrinmoy Maity, Minje Kim
http://arxiv.org/abs/1908.08898v1
• [eess.IV]A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
http://arxiv.org/abs/1908.08588v1
• [eess.IV]Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O’Connor
http://arxiv.org/abs/1908.08856v1
• [eess.IV]Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
http://arxiv.org/abs/1908.08746v1
• [eess.IV]Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images
Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E O’Connor, Dietrich Rebholz-Schuhmann, John Newell
http://arxiv.org/abs/1908.08873v1
• [eess.IV]Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
http://arxiv.org/abs/1908.08870v1
• [eess.SP]Gaussian implementation of the multi-Bernoulli mixture filter
Ángel F. García-Fernández, Yuxuan Xia, Karl Granström, Lennart Svensson, Jason L. Williams
http://arxiv.org/abs/1908.08819v1
• [eess.SP]Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison
K. Ntontin, M. Di Renzo, J. Song, F. Lazarakis, J. de Rosny, D. -T. Phan-Huy, O. Simeone, R. Zhang, M. Debbah, G. Lerosey, M. Fink, S. Tretyakov, S. Shamai
http://arxiv.org/abs/1908.08747v1
• [eess.SP]Spooky effect in optimal OSPA estimation and how GOSPA solves it
Ángel F. García-Fernández, Lennart Svensson
http://arxiv.org/abs/1908.08815v1
• [math.ST]Conformal prediction with localization
Leying Guan
http://arxiv.org/abs/1908.08558v1
• [math.ST]Graphical Construction of Spatial Gibbs Random Graphs
Andressa Cerqueira, Nancy L. Garcia
http://arxiv.org/abs/1908.08880v1
• [math.ST]On the asymptotic properties of SLOPE
Michał Kos, Małgorzata Bogdan
http://arxiv.org/abs/1908.08791v1
• [math.ST]On the estimation of high-dimensional integrated covariance matrix based on high-frequency data with multiple transactions
Moming Wang, Ningning Xia, You Zhou
http://arxiv.org/abs/1908.08670v1
• [math.ST]Sparse Additive Gaussian Process Regression
Hengrui Luo, Giovanni Nattino, Matthew T. Pratola
http://arxiv.org/abs/1908.08864v1
• [physics.bio-ph]Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet
Li Honghan, Daiki Matsunaga, Tsubasa S. Matsui, Hiroki Aosaki, Shinji Deguchi
http://arxiv.org/abs/1908.08631v1
• [physics.chem-ph]Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground
Christoph Schran, Jörg Behler, Dominik Marx
http://arxiv.org/abs/1908.08734v1
• [physics.soc-ph]Dissent and Rebellion in the House of Commons: A Social Network Analysis of Brexit-Related Divisions in the 57$^{ th}$ Parliament
Carla Intal, Taha Yasseri
http://arxiv.org/abs/1908.08859v1
• [q-bio.QM]Exact inference under the perfect phylogeny model
Surjyendu Ray, Bei Jia, Sam Safavi, Tim van Opijnen, Ralph Isberg, Jason Rosch, José Bento
http://arxiv.org/abs/1908.08623v1
• [quant-ph]Predicting Features of Quantum Systems using Classical Shadows
Hsin-Yuan Huang, Richard Kueng
http://arxiv.org/abs/1908.08909v1
• [stat.AP]Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach
Ayush Maheshwari, Kamal Kumar Murari, T. Jayaraman
http://arxiv.org/abs/1908.08570v1
• [stat.CO]Accelerating proximal Markov chain Monte Carlo by using explicit stabilised methods
Luis Vargas, Marcelo Pereyra, Konstantinos C. Zygalakis
http://arxiv.org/abs/1908.08845v1
• [stat.ME]A relation between log-likelihood and cross-validation log-scores
PierGianLuca Porta Mana
http://arxiv.org/abs/1908.08741v1
• [stat.ME]BdryGP: a new Gaussian process model for incorporating boundary information
Liang Ding, Simon Mak, C. F. Jeff Wu
http://arxiv.org/abs/1908.08868v1
• [stat.ME]M-type penalized splines for functional linear regression
Ioannis Kalogridis, Stefan Van Aelst
http://arxiv.org/abs/1908.08760v1
• [stat.ME]On Poisson-exponential-Tweedie models for ultra-overdispersed data
Rahma Abid, Celestin C. Kokonendji, Afif Masmoudi
http://arxiv.org/abs/1908.08764v1
• [stat.ME]Regression Analysis of Unmeasured Confounding
Brian Knaeble, Braxton Osting, Mark Abramson
http://arxiv.org/abs/1908.08596v1
• [stat.ML]Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
http://arxiv.org/abs/1908.08649v1
• [stat.ML]Increasing the Generalisaton Capacity of Conditional VAEs
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
http://arxiv.org/abs/1908.08750v1
• [stat.ML]Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
http://arxiv.org/abs/1908.08729v1