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