cs.AI - 人工智能

    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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.RA - 环与代数 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 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]Extensional Higher-Order Paramodulation in Leo-III
    • [cs.AI]Learning and T-Norms Theory
    • [cs.AI]Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine
    • [cs.CL]Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
    • [cs.CL]DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
    • [cs.CL]Investigating Self-Attention Network for Chinese Word Segmentation
    • [cs.CL]LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
    • [cs.CL]On the Use/Misuse of the Term ‘Phoneme’
    • [cs.CL]RoBERTa: A Robustly Optimized BERT Pretraining Approach
    • [cs.CL]Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems
    • [cs.CL]Weakly Supervised Domain Detection
    • [cs.CR]On the Round Complexity of Randomized Byzantine Agreement
    • [cs.CR]Protocol for Asynchronous, Reliable, Secure and Efficient Consensus (PARSEC) Version 2.0
    • [cs.CV]A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network
    • [cs.CV]A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
    • [cs.CV]Context-Aware Multipath Networks
    • [cs.CV]Context-Integrated and Feature-Refined Network for Lightweight Urban Scene Parsing
    • [cs.CV]Cooperative image captioning
    • [cs.CV]DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients
    • [cs.CV]Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
    • [cs.CV]Differential Scene Flow from Light Field Gradients
    • [cs.CV]Improving Generalization via Attribute Selection on Out-of-the-box Data
    • [cs.CV]LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction
    • [cs.CV]MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
    • [cs.CV]Multi-level Domain Adaptive learning for Cross-Domain Detection
    • [cs.CV]Multiple Human Association between Top and Horizontal Views by Matching Subjects’ Spatial Distributions
    • [cs.CV]On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
    • [cs.CV]Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
    • [cs.CV]Product Image Recognition with Guidance Learning and Noisy Supervision
    • [cs.CV]Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms
    • [cs.CV]Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities
    • [cs.CV]Single Level Feature-to-Feature Forecasting with Deformable Convolutions
    • [cs.CV]UGAN: Untraceable GAN for Multi-Domain Face Translation
    • [cs.CV]Universal Pooling — A New Pooling Method for Convolutional Neural Networks
    • [cs.CV]Unsupervised Learning Framework of Interest Point Via Properties Optimization
    • [cs.CV]Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
    • [cs.CV]Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
    • [cs.CY]Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools
    • [cs.CY]Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning
    • [cs.CY]Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools
    • [cs.DC]Edge User Allocation with Dynamic Quality of Service
    • [cs.DC]Fog Computing Applications: Taxonomy and Requirements
    • [cs.DC]Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer
    • [cs.DC]ServerMix: Tradeoffs and Challenges of Serverless Data Analytics
    • [cs.DS]Exhaustive Exact String Matching: The Analysis of the Full Human Genome
    • [cs.HC]Personality is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification
    • [cs.HC]Vocal Interactivity in Crowds, Flocks and Swarms: Implications for Voice User Interfaces
    • [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
    • [cs.IT]Neural Dynamic Successive Cancellation Flip Decoding of Polar Codes
    • [cs.IT]Power Error Locating Pairs
    • [cs.LG]A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem
    • [cs.LG]An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems
    • [cs.LG]Bayesian Volumetric Autoregressive generative models for better semisupervised learning
    • [cs.LG]Compressing deep quaternion neural networks with targeted regularization
    • [cs.LG]DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization
    • [cs.LG]Lexicographic Multiarmed Bandit
    • [cs.LG]Making Neural Networks FAIR
    • [cs.LG]Multi-Stage Prediction Networks for Data Harmonization
    • [cs.LG]Scalable Semi-Supervised SVM via Triply Stochastic Gradients
    • [cs.LG]Taming Momentum in a Distributed Asynchronous Environment
    • [cs.LG]Towards meta-learning for multi-target regression problems
    • [cs.LG]Training products of expert capsules with mixing by dynamic routing
    • [cs.LG]Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach
    • [cs.LO]Revisiting Explicit Negation in Answer Set Programming
    • [cs.MA]Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
    • [cs.NE]Autoencoding with a Learning Classifier System: Initial Results
    • [cs.NE]Training capsules as a routing-weighted product of expert neurons
    • [cs.NI]Data Aggregation Techniques for Internet of Things
    • [cs.NI]Delay Analysis in Full-Duplex Heterogeneous Cellular Networks
    • [cs.PF]Anonymity Mixes as (Partial) Assembly Queues: Modeling and Analysis
    • [cs.RO]Feedback Control for Autonomous Riding of Hovershoes by a Cassie Bipedal Robot
    • [cs.RO]Learning to Solve a Rubik’s Cube with a Dexterous Hand
    • [cs.RO]Precise localization relative to 3D Automated Driving map using the Decentralized Kalman filter with Feedback
    • [cs.RO]Vehicular Multi-object Tracking with Persistent Detector Failures
    • [cs.SD]Interactive Lungs Auscultation with Reinforcement Learning Agent
    • [cs.SE]An Empirical Analysis of the Python Package Index (PyPI)
    • [cs.SI]Challenges in Community Discovery on Temporal Networks
    • [cs.SI]Networks of Power: Analyzing World Leaders Interactions on Social Media
    • [eess.AS]Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
    • [eess.IV]Adaptive Compressed Sensing MRI with Unsupervised Learning
    • [eess.IV]Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
    • [eess.IV]As easy as 1, 2… 4? Uncertainty in counting tasks for medical imaging
    • [eess.IV]Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet
    • [eess.IV]Image Enhancement by Recurrently-trained Super-resolution Network
    • [eess.IV]Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
    • [eess.SP]Detection of Malfunctioning Smart Electricity Meter
    • [eess.SP]Online Subspace Tracking for Damage Propagation Modeling and Predictive Analytics: Big Data Perspective
    • [eess.SP]Towards the Enhancement of Body Standing Balance Recovery by Means of a Wireless Audio-Biofeedback System
    • [math.NA]A bisector line field approach to interpolation of orientation fields
    • [math.OC]Incremental Methods for Weakly Convex Optimization
    • [math.OC]Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm
    • [math.PR]Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity
    • [math.RA]Rational Motions with Generic Trajectories of Low Degree
    • [math.ST]Adaptive regression with Brownian path covariate
    • [math.ST]An asymptotically optimal transform of Pearson’s correlation statistic
    • [math.ST]Double Bayesian Smoothing as Message Passing
    • [math.ST]Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
    • [math.ST]Phase Transition Unbiased Estimation in High Dimensional Settings
    • [math.ST]Robust multivariate mean estimation: the optimality of trimmed mean
    • [math.ST]Subexponential-Time Algorithms for Sparse PCA
    • [physics.ao-ph]Analog forecasting of extreme-causing weather patterns using deep learning
    • [stat.AP]Adjusting for Spatial Effects in Genomic Prediction
    • [stat.AP]Comparative Analysis of User Behavior of Dock-Based vs. Dockless Bikeshare and Scootershare in Washington, D.C
    • [stat.AP]Decision Tree Learning for Uncertain Clinical Measurements
    • [stat.AP]Exploiting new forms of data to study the private rented sector: strengths and limitations of a database of rental listings
    • [stat.CO]Analyzing MCMC Output
    • [stat.ME]A memory-free spatial additive mixed modeling for big spatial data
    • [stat.ME]Measurement error and precision medicine: error-prone tailoring covariates in dynamic treatment regimes
    • [stat.ME]On the variability of regression shrinkage methods for clinical prediction models: simulation study on predictive performance
    • [stat.ME]Some examples of application for predicting of compressive sensing method
    • [stat.ML]A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
    • [stat.ML]Doubly-Robust Lasso Bandit
    • [stat.ML]Graph Informer Networks for Molecules
    • [stat.ML]Sequential Learning of Active Subspaces
    • [stat.ML]Towards Scalable Gaussian Process Modeling

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

    • [cs.AI]Extensional Higher-Order Paramodulation in Leo-III
    Alexander Steen, Christoph Benzmüller
    http://arxiv.org/abs/1907.11501v1

    • [cs.AI]Learning and T-Norms Theory
    Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori
    http://arxiv.org/abs/1907.11468v1

    • [cs.AI]Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine
    Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott, Merrill Knapp, Akos Vertes
    http://arxiv.org/abs/1907.11321v1

    • [cs.CL]Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
    Hai Ye, Zhunchen Luo
    http://arxiv.org/abs/1907.11521v1

    • [cs.CL]DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
    Lin Zehui, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/1907.11065v2

    • [cs.CL]Investigating Self-Attention Network for Chinese Word Segmentation
    Leilei Gan, Yue Zhang
    http://arxiv.org/abs/1907.11512v1

    • [cs.CL]LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
    Max Eichler, Gözde Gül Şahin, Iryna Gurevych
    http://arxiv.org/abs/1907.11438v1

    • [cs.CL]On the Use/Misuse of the Term ‘Phoneme’
    Roger K. Moore, Lucy Skidmore
    http://arxiv.org/abs/1907.11640v1

    • [cs.CL]RoBERTa: A Robustly Optimized BERT Pretraining Approach
    Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
    http://arxiv.org/abs/1907.11692v1

    • [cs.CL]Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems
    Rylan Conway, Lambert Mathias
    http://arxiv.org/abs/1907.11315v1

    • [cs.CL]Weakly Supervised Domain Detection
    Yumo Xu, Mirella Lapata
    http://arxiv.org/abs/1907.11499v1

    • [cs.CR]On the Round Complexity of Randomized Byzantine Agreement
    Ran Cohen, Iftach Haitner, Nikolaos Makriyannis, Matan Orland, Alex Samorodnitsky
    http://arxiv.org/abs/1907.11329v1

    • [cs.CR]Protocol for Asynchronous, Reliable, Secure and Efficient Consensus (PARSEC) Version 2.0
    Pierre Chevalier, Bartlomiej Kaminski, Fraser Hutchison, Qi Ma, Spandan Sharma, Andreas Fackler, William J Buchanan
    http://arxiv.org/abs/1907.11445v1

    • [cs.CV]A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network
    Kaite Xiang, Kaiwei Wang, Kailun Yang
    http://arxiv.org/abs/1907.11394v1

    • [cs.CV]A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
    M. Ozan Tezcan, Janusz Konrad, Prakash Ishwar
    http://arxiv.org/abs/1907.11371v1

    • [cs.CV]Context-Aware Multipath Networks
    Dumindu Tissera, Kumara Kahatapitiya, Rukshan Wijesinghe, Subha Fernando, Ranga Rodrigo
    http://arxiv.org/abs/1907.11519v1

    • [cs.CV]Context-Integrated and Feature-Refined Network for Lightweight Urban Scene Parsing
    Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan
    http://arxiv.org/abs/1907.11474v1

    • [cs.CV]Cooperative image captioning
    Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
    http://arxiv.org/abs/1907.11565v1

    • [cs.CV]DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients
    Bulla Rajesh, Mohammed Javed, Ratnesh, Shubham Srivastava
    http://arxiv.org/abs/1907.11503v1

    • [cs.CV]Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
    J. G. M. Esgario, R. A. Krohling, J. A. Ventura
    http://arxiv.org/abs/1907.11561v1

    • [cs.CV]Differential Scene Flow from Light Field Gradients
    Sizhuo Ma, Brandon M. Smith, Mohit Gupta
    http://arxiv.org/abs/1907.11637v1

    • [cs.CV]Improving Generalization via Attribute Selection on Out-of-the-box Data
    Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
    http://arxiv.org/abs/1907.11397v1

    • [cs.CV]LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction
    Kumara Kahatapitiya, Ranga Rodrigo
    http://arxiv.org/abs/1907.11432v1

    • [cs.CV]MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
    Zhulin Zhang, Dong Li, Jinhua Wu, Yunda Sun, Li Zhang
    http://arxiv.org/abs/1907.11366v1

    • [cs.CV]Multi-level Domain Adaptive learning for Cross-Domain Detection
    Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang
    http://arxiv.org/abs/1907.11484v1

    • [cs.CV]Multiple Human Association between Top and Horizontal Views by Matching Subjects’ Spatial Distributions
    Ruize Han, Yujun Zhang, Wei Feng, Chenxing Gong, Xiaoyu Zhang, Jiewen Zhao, Liang Wan, Song Wang
    http://arxiv.org/abs/1907.11458v1

    • [cs.CV]On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
    Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
    http://arxiv.org/abs/1907.11684v1

    • [cs.CV]Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
    Xin Wang, Bo Wu, Yun Ye, Yueqi Zhong
    http://arxiv.org/abs/1907.11496v1

    • [cs.CV]Product Image Recognition with Guidance Learning and Noisy Supervision
    Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao
    http://arxiv.org/abs/1907.11384v1

    • [cs.CV]Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms
    Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang, Walter J. Scheirer
    http://arxiv.org/abs/1907.11529v1

    • [cs.CV]Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities
    Sebastian P. Kleinschmidt, Bernardo Wagner
    http://arxiv.org/abs/1907.11436v1

    • [cs.CV]Single Level Feature-to-Feature Forecasting with Deformable Convolutions
    Josip Šarić, Marin Oršić, Tonći Antunović, Sacha Vražić, Siniša Šegvić
    http://arxiv.org/abs/1907.11475v1

    • [cs.CV]UGAN: Untraceable GAN for Multi-Domain Face Translation
    Defa Zhu, Si Liu, Wentao Jiang, Chen Gao, Tianyi Wu, Guodong Guo
    http://arxiv.org/abs/1907.11418v1

    • [cs.CV]Universal Pooling — A New Pooling Method for Convolutional Neural Networks
    Junhyuk Hyun, Hongje Seong, Euntai Kim
    http://arxiv.org/abs/1907.11440v1

    • [cs.CV]Unsupervised Learning Framework of Interest Point Via Properties Optimization
    Pei Yan, Yihua Tan, Yuan Xiao, Yuan Tai, Cai Wen
    http://arxiv.org/abs/1907.11375v1

    • [cs.CV]Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM
    Shuosen Guan, Haoxin Li, Wei-Shi Zheng
    http://arxiv.org/abs/1907.11628v1

    • [cs.CV]Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
    Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel
    http://arxiv.org/abs/1907.11454v1

    • [cs.CY]Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools
    Mohamed Khalifa, Farah Magrabi, Blanca Gallego
    http://arxiv.org/abs/1907.11523v1

    • [cs.CY]Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning
    Aviv Ovadya, Jess Whittlestone
    http://arxiv.org/abs/1907.11274v1

    • [cs.CY]Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools
    Mohamed Khalifa, Farah Magrabi, Blanca Gallego
    http://arxiv.org/abs/1907.11524v1

    • [cs.DC]Edge User Allocation with Dynamic Quality of Service
    Phu Lai, Qiang He, Guangming Cui, Xiaoyu Xia, Mohamed Abdelrazek, Feifei Chen, John Hosking, John Grundy, Yun Yang
    http://arxiv.org/abs/1907.11580v1

    • [cs.DC]Fog Computing Applications: Taxonomy and Requirements
    Arif Ahmed, HamidReza Arkian, Davaadorj Battulga, Ali J. Fahs, Mozhdeh Farhadi, Dimitrios Giouroukis, Adrien Gougeon, Felipe Oliveira Gutierrez, Guillaume Pierre, Paulo R. Souza Jr, Mulugeta Ayalew Tamiru, Li Wu
    http://arxiv.org/abs/1907.11621v1

    • [cs.DC]Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer
    Yongmin Hu, Hailong Yang, Zhongzhi Luan, Depei Qian
    http://arxiv.org/abs/1907.11678v1

    • [cs.DC]ServerMix: Tradeoffs and Challenges of Serverless Data Analytics
    Pedro García-López, Marc Sánchez-Artigas, Simon Shillaker, Peter Pietzuch, David Breitgand, Gil Vernik, Pierre Sutra, Tristan Tarrant, Ana Juan Ferrer
    http://arxiv.org/abs/1907.11465v1

    • [cs.DS]Exhaustive Exact String Matching: The Analysis of the Full Human Genome
    Konstantinos F. Xylogiannopoulos
    http://arxiv.org/abs/1907.11232v1

    • [cs.HC]Personality is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification
    Mohammed Khwaja, Aleksandar Matic
    http://arxiv.org/abs/1907.11498v1

    • [cs.HC]Vocal Interactivity in Crowds, Flocks and Swarms: Implications for Voice User Interfaces
    Roger K. Moore
    http://arxiv.org/abs/1907.11656v1

    • [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
    Xiaojie Wang, Chulong Liang, Li Ping, Stephan ten Brink
    http://arxiv.org/abs/1907.11518v1

    • [cs.IT]Neural Dynamic Successive Cancellation Flip Decoding of Polar Codes
    Nghia Doan, Seyyed Ali Hashemi, Furkan Ercan, Thibaud Tonnellier, Warren Gross
    http://arxiv.org/abs/1907.11563v1

    • [cs.IT]Power Error Locating Pairs
    Alain Couvreur, Isabella Panaccione
    http://arxiv.org/abs/1907.11658v1

    • [cs.LG]A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem
    Pei-Chang Guo
    http://arxiv.org/abs/1907.11235v1

    • [cs.LG]An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems
    Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
    http://arxiv.org/abs/1907.11452v1

    • [cs.LG]Bayesian Volumetric Autoregressive generative models for better semisupervised learning
    Guilherme Pombo, Robert Gray, Tom Varsavsky, John Ashburner, Parashkev Nachev
    http://arxiv.org/abs/1907.11559v1

    • [cs.LG]Compressing deep quaternion neural networks with targeted regularization
    Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
    http://arxiv.org/abs/1907.11546v1

    • [cs.LG]DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization
    Jiyang Bai, Jiawei Zhang
    http://arxiv.org/abs/1907.11307v1

    • [cs.LG]Lexicographic Multiarmed Bandit
    Alihan Hüyük, Cem Tekin
    http://arxiv.org/abs/1907.11605v1

    • [cs.LG]Making Neural Networks FAIR
    Anna Nguyen, Tobias Weller, York Sure-Vetter
    http://arxiv.org/abs/1907.11569v1

    • [cs.LG]Multi-Stage Prediction Networks for Data Harmonization
    Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
    http://arxiv.org/abs/1907.11629v1

    • [cs.LG]Scalable Semi-Supervised SVM via Triply Stochastic Gradients
    Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
    http://arxiv.org/abs/1907.11584v1

    • [cs.LG]Taming Momentum in a Distributed Asynchronous Environment
    Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster
    http://arxiv.org/abs/1907.11612v1

    • [cs.LG]Towards meta-learning for multi-target regression problems
    Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr
    http://arxiv.org/abs/1907.11277v1

    • [cs.LG]Training products of expert capsules with mixing by dynamic routing
    Michael Hauser
    http://arxiv.org/abs/1907.11643v1

    • [cs.LG]Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach
    Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo
    http://arxiv.org/abs/1907.11457v1

    • [cs.LO]Revisiting Explicit Negation in Answer Set Programming
    Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, David Pearce, Gilberto Perez, Concepcion Vidal
    http://arxiv.org/abs/1907.11467v1

    • [cs.MA]Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
    Weixun Wang, Tianpei Yang Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
    http://arxiv.org/abs/1907.11461v1

    • [cs.NE]Autoencoding with a Learning Classifier System: Initial Results
    Larry Bull
    http://arxiv.org/abs/1907.11554v1

    • [cs.NE]Training capsules as a routing-weighted product of expert neurons
    Michael Hauser
    http://arxiv.org/abs/1907.11639v1

    • [cs.NI]Data Aggregation Techniques for Internet of Things
    Sunny Sanyal
    http://arxiv.org/abs/1907.11367v1

    • [cs.NI]Delay Analysis in Full-Duplex Heterogeneous Cellular Networks
    Leila Marandi, Mansour Naslcheraghi, Seyed Ali Ghorashi, Mohammad Shikh-Bahaei
    http://arxiv.org/abs/1907.11264v1

    • [cs.PF]Anonymity Mixes as (Partial) Assembly Queues: Modeling and Analysis
    Mehmet Fatih Aktas, Emina Soljanin
    http://arxiv.org/abs/1907.11603v1

    • [cs.RO]Feedback Control for Autonomous Riding of Hovershoes by a Cassie Bipedal Robot
    Shuxiao Chen, Jonathan Rogers, Bike Zhang, Koushil Sreenath
    http://arxiv.org/abs/1907.11353v1

    • [cs.RO]Learning to Solve a Rubik’s Cube with a Dexterous Hand
    Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Qing-Hu Meng
    http://arxiv.org/abs/1907.11388v1

    • [cs.RO]Precise localization relative to 3D Automated Driving map using the Decentralized Kalman filter with Feedback
    Koba Natroshvili, Kai Storr, Fabian Oboril, Kay-Ulrich Scholl
    http://arxiv.org/abs/1907.11237v1

    • [cs.RO]Vehicular Multi-object Tracking with Persistent Detector Failures
    Michael Motro, Joydeep Ghosh
    http://arxiv.org/abs/1907.11306v1

    • [cs.SD]Interactive Lungs Auscultation with Reinforcement Learning Agent
    Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys
    http://arxiv.org/abs/1907.11238v1

    • [cs.SE]An Empirical Analysis of the Python Package Index (PyPI)
    Ethan Bommarito, Michael Bommarito
    http://arxiv.org/abs/1907.11073v2

    • [cs.SI]Challenges in Community Discovery on Temporal Networks
    Remy Cazabet, Giulio Rossetti
    http://arxiv.org/abs/1907.11435v1

    • [cs.SI]Networks of Power: Analyzing World Leaders Interactions on Social Media
    Evgeniia Iakhnis, Adam Badawy
    http://arxiv.org/abs/1907.11283v1

    • [eess.AS]Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
    Alzahra Badi, Sangwook Park, David K. Han, Hanseok Ko
    http://arxiv.org/abs/1907.11361v1

    • [eess.IV]Adaptive Compressed Sensing MRI with Unsupervised Learning
    Cagla D. Bahadir, Adrian V. Dalca, Mert R. Sabuncu
    http://arxiv.org/abs/1907.11374v1

    • [eess.IV]Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
    Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang
    http://arxiv.org/abs/1907.11483v1

    • [eess.IV]As easy as 1, 2… 4? Uncertainty in counting tasks for medical imaging
    Zach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, M. Jorge Cardoso
    http://arxiv.org/abs/1907.11555v1

    • [eess.IV]Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet
    Jiechao Ma, Rongguo Zhang
    http://arxiv.org/abs/1907.11392v1

    • [eess.IV]Image Enhancement by Recurrently-trained Super-resolution Network
    Saem Park, Nojun Kwak
    http://arxiv.org/abs/1907.11341v1

    • [eess.IV]Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
    Maria G. Baldeon Calisto, Susana K. Lai-Yuen
    http://arxiv.org/abs/1907.11587v1

    • [eess.SP]Detection of Malfunctioning Smart Electricity Meter
    Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu
    http://arxiv.org/abs/1907.11377v1

    • [eess.SP]Online Subspace Tracking for Damage Propagation Modeling and Predictive Analytics: Big Data Perspective
    Farhan Khan
    http://arxiv.org/abs/1907.11477v1

    • [eess.SP]Towards the Enhancement of Body Standing Balance Recovery by Means of a Wireless Audio-Biofeedback System
    Giovanni Costantini, Daniele Casali, Fabio Paolizzo, Marco Alessandrini, Alessandro Micarelli, Andrea Viziano, Giovanni Saggio
    http://arxiv.org/abs/1907.11542v1

    • [math.NA]A bisector line field approach to interpolation of orientation fields
    Nicolas Boizot, Ludovic Sacchelli
    http://arxiv.org/abs/1907.11449v1

    • [math.OC]Incremental Methods for Weakly Convex Optimization
    Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D Lee
    http://arxiv.org/abs/1907.11687v1

    • [math.OC]Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm
    Francisco J. Aragón Artacho, Rubén Campoy, Quoc Tran-Dinh, Phan T. Vuong
    http://arxiv.org/abs/1907.11471v1

    • [math.PR]Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity
    Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett
    http://arxiv.org/abs/1907.11331v1

    • [math.RA]Rational Motions with Generic Trajectories of Low Degree
    Johannes Siegele, Daniel F. Scharler, Hans-Peter Schröcker
    http://arxiv.org/abs/1907.11525v1

    • [math.ST]Adaptive regression with Brownian path covariate
    Karine Bertin, Nicolas Klutchnikoff
    http://arxiv.org/abs/1907.11284v1

    • [math.ST]An asymptotically optimal transform of Pearson’s correlation statistic
    Iosif Pinelis
    http://arxiv.org/abs/1907.11579v1

    • [math.ST]Double Bayesian Smoothing as Message Passing
    Pasquale Di Viesti, Giorgio M. Vitetta, Emilio Sirignano
    http://arxiv.org/abs/1907.11547v1

    • [math.ST]Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
    Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira
    http://arxiv.org/abs/1907.11636v1

    • [math.ST]Phase Transition Unbiased Estimation in High Dimensional Settings
    Stéphane Guerrier, Mucyo Karemera, Samuel Orso, Maria-Pia Victoria-Feser
    http://arxiv.org/abs/1907.11541v1

    • [math.ST]Robust multivariate mean estimation: the optimality of trimmed mean
    Gabor Lugosi, Shahar Mendelson
    http://arxiv.org/abs/1907.11391v1

    • [math.ST]Subexponential-Time Algorithms for Sparse PCA
    Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira
    http://arxiv.org/abs/1907.11635v1

    • [physics.ao-ph]Analog forecasting of extreme-causing weather patterns using deep learning
    Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh
    http://arxiv.org/abs/1907.11617v1

    • [stat.AP]Adjusting for Spatial Effects in Genomic Prediction
    Xiaojun Mao, Somak Dutta, Raymond K. W. Wong, Dan Nettleton
    http://arxiv.org/abs/1907.11581v1

    • [stat.AP]Comparative Analysis of User Behavior of Dock-Based vs. Dockless Bikeshare and Scootershare in Washington, D.C
    Kiana Roshan Zamir, Iryna Bondarenko, Arefeh Nasri, Stefanie Brodie, Kimberly Lucas
    http://arxiv.org/abs/1907.11526v1

    • [stat.AP]Decision Tree Learning for Uncertain Clinical Measurements
    Cecília Nunes, Hélène Langet, Mathieu De Craene, Oscar Camara, Bart Bijnens, Anders Jonsson
    http://arxiv.org/abs/1907.11325v1

    • [stat.AP]Exploiting new forms of data to study the private rented sector: strengths and limitations of a database of rental listings
    Mark Livingston, Francesca Pannullo, Adrian Bowman, Marian Scott, Nick Bailey
    http://arxiv.org/abs/1907.11447v1

    • [stat.CO]Analyzing MCMC Output
    Dootika Vats, Nathan Robertson, James M Flegal, Galin L Jones
    http://arxiv.org/abs/1907.11680v1

    • [stat.ME]A memory-free spatial additive mixed modeling for big spatial data
    Daisuke Murakami, Daniel A. Griffith
    http://arxiv.org/abs/1907.11369v1

    • [stat.ME]Measurement error and precision medicine: error-prone tailoring covariates in dynamic treatment regimes
    Dylan Spicker, Michael Wallace
    http://arxiv.org/abs/1907.11659v1

    • [stat.ME]On the variability of regression shrinkage methods for clinical prediction models: simulation study on predictive performance
    Ben Van Calster, Maarten van Smeden, Ewout W. Steyerberg
    http://arxiv.org/abs/1907.11493v1

    • [stat.ME]Some examples of application for predicting of compressive sensing method
    Nicholas Rowe
    http://arxiv.org/abs/1907.11508v1

    • [stat.ML]A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
    José E. Chacón
    http://arxiv.org/abs/1907.11505v1

    • [stat.ML]Doubly-Robust Lasso Bandit
    Gi-Soo Kim, Myunghee Cho Paik
    http://arxiv.org/abs/1907.11362v1

    • [stat.ML]Graph Informer Networks for Molecules
    Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau
    http://arxiv.org/abs/1907.11318v1

    • [stat.ML]Sequential Learning of Active Subspaces
    Nathan Wycoff, Mickael Binois, Stefan M. Wild
    http://arxiv.org/abs/1907.11572v1

    • [stat.ML]Towards Scalable Gaussian Process Modeling
    Piyush Pandita, Jesper Kristensen, Liping Wang
    http://arxiv.org/abs/1907.11313v1