astro-ph.IM - 仪器仪表和天体物理学方法

    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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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.SD - 声音处理 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 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.CO - 组合数学 math.HO - 历史与概述 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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

    • [astro-ph.IM]Development of a data infrastructure for a global data and analysis center in astroparticle physics
    • [cs.AI]On Open-Universe Causal Reasoning
    • [cs.CL]A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
    • [cs.CL]An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning
    • [cs.CL]Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
    • [cs.CL]Learning Multi-Party Turn-Taking Models from Dialogue Logs
    • [cs.CL]Morphological Word Embeddings
    • [cs.CL]Multi-Task Learning for Coherence Modeling
    • [cs.CL]Neural Image Captioning
    • [cs.CL]Use of OWL and Semantic Web Technologies at Pinterest
    • [cs.CR]Diffprivlib: The IBM Differential Privacy Library
    • [cs.CR]On Privacy Risks of Public WiFi Captive Portals
    • [cs.CV]Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling
    • [cs.CV]Attention routing between capsules
    • [cs.CV]Believe It or Not, We Know What You Are Looking at!
    • [cs.CV]Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
    • [cs.CV]Deep Saliency Models : The Quest For The Loss Function
    • [cs.CV]Edge-Aware Deep Image Deblurring
    • [cs.CV]FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture
    • [cs.CV]Guided Image Generation with Conditional Invertible Neural Networks
    • [cs.CV]Multi-Instance Multi-Scale CNN for Medical Image Classification
    • [cs.CV]RFBTD: RFB Text Detector
    • [cs.CV]Searching for Apparel Products from Images in the Wild
    • [cs.CV]Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation
    • [cs.CV]Sim2real transfer learning for 3D pose estimation: motion to the rescue
    • [cs.CV]Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
    • [cs.CV]The Indirect Convolution Algorithm
    • [cs.CV]Video Crowd Counting via Dynamic Temporal Modeling
    • [cs.CY]Cryptocurrency Egalitarianism: A Quantitative Approach
    • [cs.CY]News and the city: understanding online press consumption patterns through mobile data
    • [cs.CY]Toward Fairness in AI for People with Disabilities: A Research Roadmap
    • [cs.DC]A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
    • [cs.DC]Accelerator-level Parallelism
    • [cs.DC]Automating Distributed Tiered Storage Management in Cluster Computing
    • [cs.DC]CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling
    • [cs.DC]Security modeling and efficient computation offloading for service workflow in mobile edge computing
    • [cs.HC]Chatbots as Unwitting Actors
    • [cs.HC]Experience Management in Multi-player Games
    • [cs.HC]From Pixels to Affect: A Study on Games and Player Experience
    • [cs.IR]An Item Recommendation Approach by Fusing Images based on Neural Networks
    • [cs.IR]Detecting Cyber-Related Discussions in Online Social Platforms
    • [cs.IR]The evolution of argumentation mining: From models to social media and emerging tools
    • [cs.IT]A New Insight into GAMP and AMP
    • [cs.IT]Application of Flexible Numerology to Blockage Mitigation in 5G-mmWave Networks
    • [cs.IT]Bayesian Nonlinear Function Estimation with Approximate Message Passing
    • [cs.IT]The Geometry of Community Detection via the MMSE Matrix
    • [cs.IT]Understanding Phase Transitions via Mutual Information and MMSE
    • [cs.IT]infotheory: A C++/Python package for multivariate information theoretic analysis
    • [cs.LG]Adversarial Attacks in Sound Event Classification
    • [cs.LG]Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
    • [cs.LG]Capacity Bounded Differential Privacy
    • [cs.LG]Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN
    • [cs.LG]Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information
    • [cs.LG]Dimensional Reweighting Graph Convolutional Networks
    • [cs.LG]Fair Kernel Regression via Fair Feature Embedding in Kernel Space
    • [cs.LG]Graph-based Knowledge Distillation by Multi-head Self-attention Network
    • [cs.LG]Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
    • [cs.LG]Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model
    • [cs.LG]Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
    • [cs.LG]Least Action Principles and Well-Posed Learning Problems
    • [cs.LG]Locally Private k-Means Clustering
    • [cs.LG]LumièreNet: Lecture Video Synthesis from Audio
    • [cs.LG]Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
    • [cs.LG]Neuron ranking — an informed way to condense convolutional neural networks architecture
    • [cs.LG]Non-structured DNN Weight Pruning Considered Harmful
    • [cs.LG]On Validating, Repairing and Refining Heuristic ML Explanations
    • [cs.LG]Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
    • [cs.LG]Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches
    • [cs.LG]Probabilistic CCA with Implicit Distributions
    • [cs.LG]k is the Magic Number — Inferring the Number of Clusters Through Nonparametric Concentration Inequalities
    • [cs.MM]Intrinsic Image Popularity Assessment
    • [cs.NE]On Explaining Machine Learning Models by Evolving Crucial and Compact Features
    • [cs.NI]DeePCCI: Deep Learning-based Passive Congestion Control Identification
    • [cs.RO]Desiderata for Planning Systems in General-Purpose Service Robots
    • [cs.RO]Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton
    • [cs.RO]LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation
    • [cs.RO]Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction
    • [cs.RO]Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
    • [cs.RO]Sensing Volume Coverage of Robot Workspace using On-Robot Time-of-Flight Sensor Arrays for Safe Human Robot Interaction
    • [cs.SD]Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification
    • [cs.SD]Supervised Symbolic Music Style Translation Using Synthetic Data
    • [cs.SE]A Hybrid Approach for Learning Program Representations
    • [cs.SE]SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
    • [cs.SI]Discovering Communities of Community Discovery
    • [cs.SI]On computing distances and latencies in Link Streams
    • [cs.SI]Tracking Temporal Evolution of Graphs using Non-Timestamped Data
    • [econ.GN]Machine learning and behavioral economics for personalized choice architecture
    • [eess.AS]Fine-grained robust prosody transfer for single-speaker neural text-to-speech
    • [eess.IV]A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k
    • [eess.IV]DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
    • [eess.IV]From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
    • [eess.SP]A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver
    • [eess.SP]An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems
    • [eess.SP]Asynchronous Averaging of Gait Cycles for Classification of Gait and Device Modes
    • [eess.SP]Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
    • [eess.SP]Location-aware Beam Alignment for mmWave Communications
    • [eess.SY]Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation
    • [hep-ph]Preserving physically important variables in optimal event selections: A case study in Higgs physics
    • [math.CO]Injective envelopes of transition systems and Ferrers languages
    • [math.HO]GeoGebra e situações que envolvem modelação numa abordagem STEAM
    • [math.OC]A global constraint for the capacitated single-item lot-sizing problem
    • [math.OC]A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms
    • [math.OC]Markov Decision Processes under Ambiguity
    • [math.OC]On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems
    • [math.OC]Online Mixed-Integer Optimization in Milliseconds
    • [math.PR]Randomized sequential importance sampling for estimating the number of perfect matchings in bipartite graphs
    • [math.ST]Bayes factors with (overly) informative priors
    • [math.ST]Consistent Regression using Data-Dependent Coverings
    • [math.ST]Construction of Blocked Factorial Designs to Estimate Main Effects and Selected Two-Factor Interactions
    • [math.ST]Estimation of common change point and isolation of changed panels after sequential detection
    • [math.ST]Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models
    • [physics.med-ph]Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
    • [physics.soc-ph]Latent geometry and dynamics of proximity networks
    • [q-bio.NC]Multiplicative modulations in hue-selective cells enhance unique hue representation
    • [quant-ph]Resource reduction for distributed quantum information processing using quantum multiplexed photons
    • [stat.AP]Bayesian analysis of extreme values in economic indexes and climate data: Simulation and application
    • [stat.AP]Sequential Experimental Design for Functional Response Experiments
    • [stat.CO]mgcpy: A Comprehensive High Dimensional Independence Testing Python Package
    • [stat.ME]A Bayesian Semiparametric Gaussian Copula Approach to a Multivariate Normality Test
    • [stat.ME]An enriched mixture model for functional clustering
    • [stat.ME]Bayesian Regularization of Gaussian Graphical Models with Measurement Error
    • [stat.ME]Efficient Parameter Estimation of Sampled Random Fields
    • [stat.ML]A Quantum Field Theory of Representation Learning
    • [stat.ML]Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality
    • [stat.ML]High-dimensional Gaussian graphical model for network-linked data
    • [stat.ML]Learning Latent Dynamics for Partially-Observed Chaotic Systems
    • [stat.ML]Neural Networks, Hypersurfaces, and Radon Transforms
    • [stat.ML]On the Convergence of FedAvg on Non-IID Data
    • [stat.ML]Subsampling Bias and The Best-Discrepancy Systematic Cross Validation

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    • [astro-ph.IM]Development of a data infrastructure for a global data and analysis center in astroparticle physics
    V. Tokareva, A. Haungs, D. Kang, D. Kostunin, F. Polgart, D. Wochele, J. Wochele
    http://arxiv.org/abs/1907.02335v1

    • [cs.AI]On Open-Universe Causal Reasoning
    Duligur Ibeling, Thomas Icard
    http://arxiv.org/abs/1907.02170v1

    • [cs.CL]A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
    Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan
    http://arxiv.org/abs/1907.02298v1

    • [cs.CL]An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning
    Duan Wei, Li Lin
    http://arxiv.org/abs/1907.02205v1

    • [cs.CL]Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
    Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
    http://arxiv.org/abs/1907.02326v1

    • [cs.CL]Learning Multi-Party Turn-Taking Models from Dialogue Logs
    Maira Gatti de Bayser, Paulo Cavalin, Claudio Pinhanez, Bianca Zadrozny
    http://arxiv.org/abs/1907.02090v1

    • [cs.CL]Morphological Word Embeddings
    Ryan Cotterell, Hinrich Schütze
    http://arxiv.org/abs/1907.02423v1

    • [cs.CL]Multi-Task Learning for Coherence Modeling
    Youmna Farag, Helen Yannakoudakis
    http://arxiv.org/abs/1907.02427v1

    • [cs.CL]Neural Image Captioning
    Elaina Tan, Lakshay Sharma
    http://arxiv.org/abs/1907.02065v1

    • [cs.CL]Use of OWL and Semantic Web Technologies at Pinterest
    Rafael S. Gonçalves, Matthew Horridge, Rui Li, Yu Liu, Mark A. Musen, Csongor I. Nyulas, Evelyn Obamos, Dhananjay Shrouty, David Temple
    http://arxiv.org/abs/1907.02106v1

    • [cs.CR]Diffprivlib: The IBM Differential Privacy Library
    Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher
    http://arxiv.org/abs/1907.02444v1

    • [cs.CR]On Privacy Risks of Public WiFi Captive Portals
    Suzan Ali, Tousif Osman, Mohammad Mannan, Amr Youssef
    http://arxiv.org/abs/1907.02142v1

    • [cs.CV]Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling
    Florian Piewak, Peter Pinggera, Marius Zöllner
    http://arxiv.org/abs/1907.02149v1

    • [cs.CV]Attention routing between capsules
    Jaewoong Choi, Hyun Seo, Suii Im, Myungju Kang
    http://arxiv.org/abs/1907.01750v2

    • [cs.CV]Believe It or Not, We Know What You Are Looking at!
    Dongze Lian, Zehao Yu, Shenghua Gao
    http://arxiv.org/abs/1907.02364v1

    • [cs.CV]Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
    Bin Duan, Wei Wang, Hao Tang, Hugo Latapie, Yan Yan
    http://arxiv.org/abs/1907.01826v2

    • [cs.CV]Deep Saliency Models : The Quest For The Loss Function
    Alexandre Bruckert, Hamed R. Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur
    http://arxiv.org/abs/1907.02336v1

    • [cs.CV]Edge-Aware Deep Image Deblurring
    Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He
    http://arxiv.org/abs/1907.02282v1

    • [cs.CV]FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture
    Wenjun Liu, Yuchun Huang, Ying Li, Qi Chen
    http://arxiv.org/abs/1907.02248v1

    • [cs.CV]Guided Image Generation with Conditional Invertible Neural Networks
    Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
    http://arxiv.org/abs/1907.02392v1

    • [cs.CV]Multi-Instance Multi-Scale CNN for Medical Image Classification
    Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
    http://arxiv.org/abs/1907.02413v1

    • [cs.CV]RFBTD: RFB Text Detector
    Christen M, AB Saravanan
    http://arxiv.org/abs/1907.02228v1

    • [cs.CV]Searching for Apparel Products from Images in the Wild
    Son Tran, Ming Du, Sampath Chanda, R. Manmatha, Cj Taylor
    http://arxiv.org/abs/1907.02244v1

    • [cs.CV]Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation
    Shuangjun Liu, Sarah Ostadabbas
    http://arxiv.org/abs/1907.02161v1

    • [cs.CV]Sim2real transfer learning for 3D pose estimation: motion to the rescue
    Carl Doersch, Andrew Zisserman
    http://arxiv.org/abs/1907.02499v1

    • [cs.CV]Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
    Ankit Sharma, Hassan Foroosh
    http://arxiv.org/abs/1907.02157v1

    • [cs.CV]The Indirect Convolution Algorithm
    Marat Dukhan
    http://arxiv.org/abs/1907.02129v1

    • [cs.CV]Video Crowd Counting via Dynamic Temporal Modeling
    Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
    http://arxiv.org/abs/1907.02198v1

    • [cs.CY]Cryptocurrency Egalitarianism: A Quantitative Approach
    Dimitris Karakostas, Aggelos Kiayias, Christos Nasikas, Dionysis Zindros
    http://arxiv.org/abs/1907.02434v1

    • [cs.CY]News and the city: understanding online press consumption patterns through mobile data
    Salvatore Vilella, Daniela Paolotti, Giancarlo Ruffo, Leo Ferres
    http://arxiv.org/abs/1907.02480v1

    • [cs.CY]Toward Fairness in AI for People with Disabilities: A Research Roadmap
    Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris
    http://arxiv.org/abs/1907.02227v1

    • [cs.DC]A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
    Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang
    http://arxiv.org/abs/1907.02154v1

    • [cs.DC]Accelerator-level Parallelism
    Mark D. Hill, Vijay Janapa Reddi
    http://arxiv.org/abs/1907.02064v1

    • [cs.DC]Automating Distributed Tiered Storage Management in Cluster Computing
    Herodotos Herodotou, Elena Kakoulli
    http://arxiv.org/abs/1907.02394v1

    • [cs.DC]CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling
    Samuel S. Ogden, Tian Guo
    http://arxiv.org/abs/1907.02162v1

    • [cs.DC]Security modeling and efficient computation offloading for service workflow in mobile edge computing
    Binbin Huang, Zhongjin Lia, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hua, Wanqing Lia, Victor Chang
    http://arxiv.org/abs/1907.02506v1

    • [cs.HC]Chatbots as Unwitting Actors
    Allison Perrone, Justin Edwards
    http://arxiv.org/abs/1907.01921v1

    • [cs.HC]Experience Management in Multi-player Games
    Jichen Zhu, Santiago Ontañón
    http://arxiv.org/abs/1907.02349v1

    • [cs.HC]From Pixels to Affect: A Study on Games and Player Experience
    Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
    http://arxiv.org/abs/1907.02288v1

    • [cs.IR]An Item Recommendation Approach by Fusing Images based on Neural Networks
    Weibin Lin, Lin Li
    http://arxiv.org/abs/1907.02203v1

    • [cs.IR]Detecting Cyber-Related Discussions in Online Social Platforms
    Ruth Ikwu, Panos Louisvieris
    http://arxiv.org/abs/1907.02383v1

    • [cs.IR]The evolution of argumentation mining: From models to social media and emerging tools
    Anastasios Lytos, Thomas Lagkas, Panagiotis Sarigiannidis, Kalina Bontcheva
    http://arxiv.org/abs/1907.02258v1

    • [cs.IT]A New Insight into GAMP and AMP
    Lei Liu, Ying Li, Chongwen Huang, Chau Yuen, Yong Liang Guan
    http://arxiv.org/abs/1907.02247v1

    • [cs.IT]Application of Flexible Numerology to Blockage Mitigation in 5G-mmWave Networks
    Fadhil Firyaguna, Jacek Kibilda, Nicola Marchetti
    http://arxiv.org/abs/1907.02361v1

    • [cs.IT]Bayesian Nonlinear Function Estimation with Approximate Message Passing
    Hangjin Liu, You, Zhou, Ahmad Beirami, Dror Baron
    http://arxiv.org/abs/1907.02482v1

    • [cs.IT]The Geometry of Community Detection via the MMSE Matrix
    Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky
    http://arxiv.org/abs/1907.02496v1

    • [cs.IT]Understanding Phase Transitions via Mutual Information and MMSE
    Galen Reeves, Henry Pfister
    http://arxiv.org/abs/1907.02095v1

    • [cs.IT]infotheory: A C++/Python package for multivariate information theoretic analysis
    Madhavun Candadai, Eduardo J. Izquierdo
    http://arxiv.org/abs/1907.02339v1

    • [cs.LG]Adversarial Attacks in Sound Event Classification
    Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark Sandler
    http://arxiv.org/abs/1907.02477v1

    • [cs.LG]Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding
    Alessandro Muscoloni, Carlo Vittorio Cannistraci
    http://arxiv.org/abs/1907.00025v1

    • [cs.LG]Capacity Bounded Differential Privacy
    Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
    http://arxiv.org/abs/1907.02159v1

    • [cs.LG]Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN
    Brosnan Yuen
    http://arxiv.org/abs/1907.02188v1

    • [cs.LG]Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information
    Evaggelia Tsiligianni, Nikos Deligiannis
    http://arxiv.org/abs/1907.02511v1

    • [cs.LG]Dimensional Reweighting Graph Convolutional Networks
    Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang
    http://arxiv.org/abs/1907.02237v1

    • [cs.LG]Fair Kernel Regression via Fair Feature Embedding in Kernel Space
    Austin Okray, Hui Hu, Chao Lan
    http://arxiv.org/abs/1907.02242v1

    • [cs.LG]Graph-based Knowledge Distillation by Multi-head Self-attention Network
    Seunghyun Lee, Byung Cheol Song
    http://arxiv.org/abs/1907.02226v1

    • [cs.LG]Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
    Shuo Zhang, Lei Xie
    http://arxiv.org/abs/1907.02204v1

    • [cs.LG]Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model
    Akira Kinose, Tadahiro Taniguchi
    http://arxiv.org/abs/1907.02140v1

    • [cs.LG]Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
    Alex Gabourie, Mohammad Rostami, Philip Pope, Soheil Kolouri, Kyungnam Kim
    http://arxiv.org/abs/1907.02271v1

    • [cs.LG]Least Action Principles and Well-Posed Learning Problems
    Alessandro Betti, Marco Gori
    http://arxiv.org/abs/1907.02517v1

    • [cs.LG]Locally Private k-Means Clustering
    Uri Stemmer
    http://arxiv.org/abs/1907.02513v1

    • [cs.LG]LumièreNet: Lecture Video Synthesis from Audio
    Byung-Hak Kim, Varun Ganapathi
    http://arxiv.org/abs/1907.02253v1

    • [cs.LG]Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
    Falcon Z. Dai, Matthew R. Walter
    http://arxiv.org/abs/1907.02114v1

    • [cs.LG]Neuron ranking — an informed way to condense convolutional neural networks architecture
    Kamil Adamczewski, Mijung Park
    http://arxiv.org/abs/1907.02519v1

    • [cs.LG]Non-structured DNN Weight Pruning Considered Harmful
    Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
    http://arxiv.org/abs/1907.02124v1

    • [cs.LG]On Validating, Repairing and Refining Heuristic ML Explanations
    Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
    http://arxiv.org/abs/1907.02509v1

    • [cs.LG]Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
    Tong Geng, Xiliang Lin, Harikesh S. Nair
    http://arxiv.org/abs/1907.02178v1

    • [cs.LG]Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches
    Matheus Guedes Vilas Boas, Haroldo Gambini Santos, Luiz Henrique de Campos Merschmann, Greet Vanden Berghe
    http://arxiv.org/abs/1907.02211v1

    • [cs.LG]Probabilistic CCA with Implicit Distributions
    Yaxin Shi, Yuangang Pan, Donna Xu, Ivor Tsang
    http://arxiv.org/abs/1907.02345v1

    • [cs.LG]k is the Magic Number — Inferring the Number of Clusters Through Nonparametric Concentration Inequalities
    Sibylle Hess, Wouter Duivesteijn
    http://arxiv.org/abs/1907.02343v1

    • [cs.MM]Intrinsic Image Popularity Assessment
    Keyan Ding, Kede Ma, Shiqi Wang
    http://arxiv.org/abs/1907.01985v2

    • [cs.NE]On Explaining Machine Learning Models by Evolving Crucial and Compact Features
    Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
    http://arxiv.org/abs/1907.02260v1

    • [cs.NI]DeePCCI: Deep Learning-based Passive Congestion Control Identification
    Constantin Sander, Jan Rüth, Oliver Hohlfeld, Klaus Wehrle
    http://arxiv.org/abs/1907.02323v1

    • [cs.RO]Desiderata for Planning Systems in General-Purpose Service Robots
    Nick Walker, Yuqian Jiang, Maya Cakmak, Peter Stone
    http://arxiv.org/abs/1907.02300v1

    • [cs.RO]Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton
    Xianlian Zhou, Xinyu Chen
    http://arxiv.org/abs/1907.02200v1

    • [cs.RO]LINS: A Lidar-Inerital State Estimator for Robust and Fast Navigation
    Chao Qin, Haoyang Ye, Christian E. Pranata, Jun Han, Ming Liu
    http://arxiv.org/abs/1907.02233v1

    • [cs.RO]Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction
    Susanne Trick, Dorothea Koert, Jan Peters, Constantin Rothkopf
    http://arxiv.org/abs/1907.02426v1

    • [cs.RO]Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
    Boyang Wang, Jianwei Gong, Wenli Liang, Huiyan Chen
    http://arxiv.org/abs/1907.02464v1

    • [cs.RO]Sensing Volume Coverage of Robot Workspace using On-Robot Time-of-Flight Sensor Arrays for Safe Human Robot Interaction
    Shitij Kumar, Ferat Sahin
    http://arxiv.org/abs/1907.02125v1

    • [cs.SD]Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification
    Zhichao Zhang, Shugong Xu, Tianhao Qiao, Shunqing Zhang, Shan Cao
    http://arxiv.org/abs/1907.02230v1

    • [cs.SD]Supervised Symbolic Music Style Translation Using Synthetic Data
    Ondřej Cífka, Umut Şimşekli, Gaël Richard
    http://arxiv.org/abs/1907.02265v1

    • [cs.SE]A Hybrid Approach for Learning Program Representations
    Ke Wang, Zhendong Su
    http://arxiv.org/abs/1907.02136v1

    • [cs.SE]SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
    Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu
    http://arxiv.org/abs/1907.02202v1

    • [cs.SI]Discovering Communities of Community Discovery
    Michele Coscia
    http://arxiv.org/abs/1907.02277v1

    • [cs.SI]On computing distances and latencies in Link Streams
    Frédéric Simard
    http://arxiv.org/abs/1907.02146v1

    • [cs.SI]Tracking Temporal Evolution of Graphs using Non-Timestamped Data
    Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
    http://arxiv.org/abs/1907.02222v1

    • [econ.GN]Machine learning and behavioral economics for personalized choice architecture
    Emir Hrnjic, Nikodem Tomczak
    http://arxiv.org/abs/1907.02100v1

    • [eess.AS]Fine-grained robust prosody transfer for single-speaker neural text-to-speech
    Viacheslav Klimkov, Srikanth Ronanki, Jonas Rohnke, Thomas Drugman
    http://arxiv.org/abs/1907.02479v1

    • [eess.IV]A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k
    Domonkos Varga
    http://arxiv.org/abs/1907.02096v1

    • [eess.IV]DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
    Jimit Doshi, Guray Erus, Mohamad Habes, Christos Davatzikos
    http://arxiv.org/abs/1907.02110v1

    • [eess.IV]From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
    Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
    http://arxiv.org/abs/1907.02431v1

    • [eess.SP]A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver
    Feng Shu, Lin Liu, Yumeng Zhang, Guiyang Xia, Xiaoyu Liu, Jun Li, Shi Jin, Jiangzhou Wang
    http://arxiv.org/abs/1907.02215v1

    • [eess.SP]An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems
    Daesung Yu, Junbeom Kim, Seok-Hwan Park
    http://arxiv.org/abs/1907.02153v1

    • [eess.SP]Asynchronous Averaging of Gait Cycles for Classification of Gait and Device Modes
    Parinaz Kasebzadeh, Gustaf Hendeby, Fredrik Gustafsson
    http://arxiv.org/abs/1907.02329v1

    • [eess.SP]Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
    Valentin Leplat, Nicolas Gillis, Man Shun Ang
    http://arxiv.org/abs/1907.02404v1

    • [eess.SP]Location-aware Beam Alignment for mmWave Communications
    Orikumhi Igbafe, Jeongwan Kang, Henk Wymeersch, Sunwoo Kim
    http://arxiv.org/abs/1907.02197v1

    • [eess.SY]Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation
    Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos Vamvoudakis
    http://arxiv.org/abs/1907.02151v1

    • [hep-ph]Preserving physically important variables in optimal event selections: A case study in Higgs physics
    Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto
    http://arxiv.org/abs/1907.02098v1

    • [math.CO]Injective envelopes of transition systems and Ferrers languages
    Mustapha Kabil, Maurice Pouzet
    http://arxiv.org/abs/1907.02231v1

    • [math.HO]GeoGebra e situações que envolvem modelação numa abordagem STEAM
    J. M. D. S. Dos Santos, A. P. Silveira, A. E. S. Trocado
    http://arxiv.org/abs/1907.02099v1

    • [math.OC]A global constraint for the capacitated single-item lot-sizing problem
    Grigori German, Hadrien Cambazard, Jean-Philippe Gayon, Bernard Penz
    http://arxiv.org/abs/1907.02405v1

    • [math.OC]A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms
    Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
    http://arxiv.org/abs/1907.02109v1

    • [math.OC]Markov Decision Processes under Ambiguity
    Nicole Bäuerle, Ulrich Rieder
    http://arxiv.org/abs/1907.02347v1

    • [math.OC]On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems
    Mingxi Zhu, Kresimir Mihic, Yinyu Ye
    http://arxiv.org/abs/1907.01995v1

    • [math.OC]Online Mixed-Integer Optimization in Milliseconds
    Dimitris Bertsimas, Bartolomeo Stellato
    http://arxiv.org/abs/1907.02206v1

    • [math.PR]Randomized sequential importance sampling for estimating the number of perfect matchings in bipartite graphs
    Persi Diaconis, Brett Kolesnik
    http://arxiv.org/abs/1907.02333v1

    • [math.ST]Bayes factors with (overly) informative priors
    Richard A Lockhart
    http://arxiv.org/abs/1907.02473v1

    • [math.ST]Consistent Regression using Data-Dependent Coverings
    Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger
    http://arxiv.org/abs/1907.02306v1

    • [math.ST]Construction of Blocked Factorial Designs to Estimate Main Effects and Selected Two-Factor Interactions
    Janet Godolphin
    http://arxiv.org/abs/1907.02373v1

    • [math.ST]Estimation of common change point and isolation of changed panels after sequential detection
    Yanhong Wu
    http://arxiv.org/abs/1907.02097v1

    • [math.ST]Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models
    Leonard Henckel, Emilija Perković, Marloes H. Maathuis
    http://arxiv.org/abs/1907.02435v1

    • [physics.med-ph]Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
    Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
    http://arxiv.org/abs/1907.02121v1

    • [physics.soc-ph]Latent geometry and dynamics of proximity networks
    Fragkiskos Papadopoulos, Marco Antonio Rodríguez Flores
    http://arxiv.org/abs/1907.00073v1

    • [q-bio.NC]Multiplicative modulations in hue-selective cells enhance unique hue representation
    Paria Mehrani, Andrei Mouraviev, John K. Tsotsos
    http://arxiv.org/abs/1907.02116v1

    • [quant-ph]Resource reduction for distributed quantum information processing using quantum multiplexed photons
    Nicolo Lo Piparo, Michael Hanks, Claude Gravel, Kae Nemoto, WIlliam J. Munro
    http://arxiv.org/abs/1907.02240v1

    • [stat.AP]Bayesian analysis of extreme values in economic indexes and climate data: Simulation and application
    Ali Reza Fotouhi
    http://arxiv.org/abs/1907.02175v1

    • [stat.AP]Sequential Experimental Design for Functional Response Experiments
    Hayden Moffat, Markus Hainy, Nikos E. Papanikolaou, Chris Drovandi
    http://arxiv.org/abs/1907.02179v1

    • [stat.CO]mgcpy: A Comprehensive High Dimensional Independence Testing Python Package
    Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein
    http://arxiv.org/abs/1907.02088v1

    • [stat.ME]A Bayesian Semiparametric Gaussian Copula Approach to a Multivariate Normality Test
    Luai Al-Labadi, Forough Fazeli Asl, Zahra Saberi
    http://arxiv.org/abs/1907.01736v2

    • [stat.ME]An enriched mixture model for functional clustering
    Tommaso Rigon
    http://arxiv.org/abs/1907.02493v1

    • [stat.ME]Bayesian Regularization of Gaussian Graphical Models with Measurement Error
    Michael Byrd, Linh Nghiem, Monnie McGee
    http://arxiv.org/abs/1907.02241v1

    • [stat.ME]Efficient Parameter Estimation of Sampled Random Fields
    Arthur P. Guillaumin, Adam M. Sykulski, Sofia C. Olhede, Frederik J. Simons
    http://arxiv.org/abs/1907.02447v1

    • [stat.ML]A Quantum Field Theory of Representation Learning
    Robert Bamler, Stephan Mandt
    http://arxiv.org/abs/1907.02163v1

    • [stat.ML]Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality
    Ryumei Nakada, Masaaki Imaizumi
    http://arxiv.org/abs/1907.02177v1

    • [stat.ML]High-dimensional Gaussian graphical model for network-linked data
    Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
    http://arxiv.org/abs/1907.02443v1

    • [stat.ML]Learning Latent Dynamics for Partially-Observed Chaotic Systems
    Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
    http://arxiv.org/abs/1907.02452v1

    • [stat.ML]Neural Networks, Hypersurfaces, and Radon Transforms
    Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
    http://arxiv.org/abs/1907.02220v1

    • [stat.ML]On the Convergence of FedAvg on Non-IID Data
    Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
    http://arxiv.org/abs/1907.02189v1

    • [stat.ML]Subsampling Bias and The Best-Discrepancy Systematic Cross Validation
    Liang Guo, Jianya Liu, Ruodan Lu
    http://arxiv.org/abs/1907.02437v1