cond-mat.mtrl-sci - 材料科学

    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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 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 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Machine learning-guided synthesis of advanced inorganic materials
    • [cs.AI]AI in the media and creative industries
    • [cs.AI]Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
    • [cs.AI]Integrating Artificial Intelligence into Weapon Systems
    • [cs.AI]Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
    • [cs.AI]Robust Goal Recognition with Operator-Counting Heuristics
    • [cs.CL]Language Modeling with Deep Transformers
    • [cs.CL]Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
    • [cs.CL]MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
    • [cs.CL]Restoring Arabic vowels through omission-tolerant dictionary lookup
    • [cs.CL]Survey on Evaluation Methods for Dialogue Systems
    • [cs.CR]A One-Round Key Agreement Protocol with Information-Theoretic Security
    • [cs.CV]A fast online cascaded regression algorithm for face alignment
    • [cs.CV]Breast Tumor Classification and Segmentation using Convolutional Neural Networks
    • [cs.CV]DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
    • [cs.CV]EdgeSegNet: A Compact Network for Semantic Segmentation
    • [cs.CV]Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
    • [cs.CV]Exploiting temporal context for 3D human pose estimation in the wild
    • [cs.CV]Hierarchical approach to classify food scenes in egocentric photo-streams
    • [cs.CV]Memory-Attended Recurrent Network for Video Captioning
    • [cs.CV]Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
    • [cs.CV]Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks
    • [cs.CV]Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
    • [cs.CV]SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
    • [cs.CV]Spatio-temporal Video Re-localization by Warp LSTM
    • [cs.CV]Support Relation Analysis for Objects in Multiple View RGB-D Images
    • [cs.CV]Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs
    • [cs.CV]Towards Egocentric Person Re-identification and Social Pattern Analysis
    • [cs.CV]Towards Emotion Retrieval in Egocentric PhotoStream
    • [cs.CV]Towards Unsupervised Familiar Scene Recognition in Egocentric Videos
    • [cs.CV]Unsupervised routine discovery in egocentric photo-streams
    • [cs.CV]Virtual Mixup Training for Unsupervised Domain Adaptation
    • [cs.CY]A model to assess customer alignment through customer experience concepts - Preprint version
    • [cs.CY]A survival model for course-course interactions in a Massive Open Online Course platform
    • [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
    • [cs.CY]On the Inevitability of Online Echo Chambers
    • [cs.DB]Selectivity Estimation with Deep Likelihood Models
    • [cs.DC]Charlotte: Composable Authenticated Distributed Data Structures, Technical Report
    • [cs.DC]PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs
    • [cs.DC]Priority-based Parameter Propagation for Distributed DNN Training
    • [cs.DM]Robustness: a New Form of Heredity Motivated by Dynamic Networks
    • [cs.DS]Refined Complexity of PCA with Outliers
    • [cs.ET]Convolutional Neural Networks Utilizing Multifunctional Spin-Hall MTJ Neurons
    • [cs.GR]An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
    • [cs.HC]A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
    • [cs.IT]Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors
    • [cs.IT]On Unlimited Sampling and Reconstruction
    • [cs.IT]On the Distribution of AoI for the GI/GI/1/1 and GI/GI/1/2* Systems: Exact Expressions and Bounds
    • [cs.IT]Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
    • [cs.LG]A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
    • [cs.LG]Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
    • [cs.LG]Attention-based Deep Reinforcement Learning for Multi-view Environments
    • [cs.LG]Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning
    • [cs.LG]Bayesian Optimized Continual Learning with Attention Mechanism
    • [cs.LG]Compressing Weight-updates for Image Artifacts Removal Neural Networks
    • [cs.LG]Credit Scoring for Micro-Loans
    • [cs.LG]Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
    • [cs.LG]Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
    • [cs.LG]Differentially Private Learning with Adaptive Clipping
    • [cs.LG]Do Autonomous Agents Benefit from Hearing?
    • [cs.LG]Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
    • [cs.LG]Exploring the Hyperparameter Landscape of Adversarial Robustness
    • [cs.LG]Formal Verification of Input-Output Mappings of Tree Ensembles
    • [cs.LG]GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
    • [cs.LG]Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
    • [cs.LG]Integrating Tensor Similarity to Enhance Clustering Performance
    • [cs.LG]Interpreting and Evaluating Neural Network Robustness
    • [cs.LG]Multiple Independent Subspace Clusterings
    • [cs.LG]Mutual Information Scaling and Expressive Power of Sequence Models
    • [cs.LG]Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
    • [cs.LG]Predicting Path Failure In Time-Evolving Graphs
    • [cs.LG]Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
    • [cs.LG]Reinforcement Learning in Non-Stationary Environments
    • [cs.LG]Second Order Value Iteration in Reinforcement Learning
    • [cs.LG]Single-Path NAS: Device-Aware Efficient ConvNet Design
    • [cs.LG]Supervized Segmentation with Graph-Structured Deep Metric Learning
    • [cs.LG]Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning
    • [cs.LG]The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems
    • [cs.MA]Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
    • [cs.MA]On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
    • [cs.NI]P4BFT: Hardware-Accelerated Byzantine-Resilient Network Control Plane
    • [cs.PL]Dynamic Verification with Observational Equivalence of C/C++ Concurrency
    • [cs.RO]An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs
    • [cs.RO]Autonomous Locomotion Mode Transition Simulation of a Track-legged Quadruped Robot Step Negotiation
    • [cs.RO]Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization
    • [cs.RO]Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System
    • [cs.RO]Quantifying Teaching Behaviour in Robot Learning from Demonstration
    • [cs.RO]Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped
    • [cs.SD]On the representation of speech and music
    • [cs.SE]When Deep Learning Met Code Search
    • [cs.SI]Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
    • [cs.SY]Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach
    • [econ.EM]Demand and Welfare Analysis in Discrete Choice Models with Social Interactions
    • [eess.AS]Semi-supervised and Population Based Training for Voice Commands Recognition
    • [eess.IV]T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
    • [eess.IV]Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
    • [eess.SP]Beamforming Algorithm for Multiuser Wideband Millimeter-Wave Systems with Hybrid and Subarray Architectures
    • [eess.SP]Efficient Channel AoD/AoA Estimation Using Widebeams for Millimeter Wave MIMO Systems
    • [eess.SP]Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning
    • [eess.SP]Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation
    • [eess.SP]Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)
    • [math.OC]Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
    • [math.OC]Inverse optimal transport
    • [math.PR]Asymptotic laws for upper and strong record values in the extreme domain of attraction and beyond
    • [math.PR]On limit theorems for persistent Betti numbers from dependent data
    • [math.ST]Illumination depth
    • [math.ST]Large scale in transit computation of quantiles for ensemble runs
    • [math.ST]Optimal rates for F-score binary classification
    • [math.ST]Robust high dimensional learning for Lipschitz and convex losses
    • [math.ST]Why scoring functions cannot assess tail properties
    • [physics.comp-ph]Fast electrostatic solvers for kinetic Monte Carlo simulations
    • [stat.AP]Confidence intervals with maximal average power
    • [stat.AP]Dynamic principal component regression: Application to age-specific mortality forecasting
    • [stat.ME]Comparison Between Bayesian and Frequentist Tail Probability Estimates
    • [stat.ME]Extreme events evaluation using CRPS distributions
    • [stat.ME]Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments
    • [stat.ML]A Contrastive Divergence for Combining Variational Inference and MCMC
    • [stat.ML]On the Connection Between Adversarial Robustness and Saliency Map Interpretability
    • [stat.ML]The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima?

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

    • [cond-mat.mtrl-sci]Machine learning-guided synthesis of advanced inorganic materials
    Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu
    http://arxiv.org/abs/1905.03938v1

    • [cs.AI]AI in the media and creative industries
    Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander Garcia, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Vieville, Emmanuel Vincent
    http://arxiv.org/abs/1905.04175v1

    • [cs.AI]Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
    Patrik Christen, Olivier Del Fabbro
    http://arxiv.org/abs/1905.04232v1

    • [cs.AI]Integrating Artificial Intelligence into Weapon Systems
    Philip Feldman, Aaron Dant, Aaron Massey
    http://arxiv.org/abs/1905.03899v1

    • [cs.AI]Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
    Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
    http://arxiv.org/abs/1905.04020v1

    • [cs.AI]Robust Goal Recognition with Operator-Counting Heuristics
    Felipe Meneguzzi, André Grahl Pereira, Ramon Fraga Pereira
    http://arxiv.org/abs/1905.04210v1

    • [cs.CL]Language Modeling with Deep Transformers
    Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/1905.04226v1

    • [cs.CL]Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
    Wenmian Yang, Weijia Jia, XIaojie Zhou, Yutao Luo
    http://arxiv.org/abs/1905.03969v1

    • [cs.CL]MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
    Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Rajiv Ratn Shah, Debanjan Mahata, Amanda Stent
    http://arxiv.org/abs/1905.03968v1

    • [cs.CL]Restoring Arabic vowels through omission-tolerant dictionary lookup
    Alexis Amid Neme, Sébastien Paumier
    http://arxiv.org/abs/1905.04051v1

    • [cs.CL]Survey on Evaluation Methods for Dialogue Systems
    Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak
    http://arxiv.org/abs/1905.04071v1

    • [cs.CR]A One-Round Key Agreement Protocol with Information-Theoretic Security
    Setareh Sharifian, Alireza Poostindouz, Reihaneh Safavi-Naini
    http://arxiv.org/abs/1905.04280v1

    • [cs.CV]A fast online cascaded regression algorithm for face alignment
    Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang
    http://arxiv.org/abs/1905.04010v1

    • [cs.CV]Breast Tumor Classification and Segmentation using Convolutional Neural Networks
    Parvin Yousefikamal
    http://arxiv.org/abs/1905.04247v1

    • [cs.CV]DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
    Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song
    http://arxiv.org/abs/1905.04153v1

    • [cs.CV]EdgeSegNet: A Compact Network for Semantic Segmentation
    Zhong Qiu Lin, Brendan Chwyl, Alexander Wong
    http://arxiv.org/abs/1905.04222v1

    • [cs.CV]Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
    Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu
    http://arxiv.org/abs/1905.04016v1

    • [cs.CV]Exploiting temporal context for 3D human pose estimation in the wild
    Anurag Arnab, Carl Doersch, Andrew Zisserman
    http://arxiv.org/abs/1905.04266v1

    • [cs.CV]Hierarchical approach to classify food scenes in egocentric photo-streams
    Estefania Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
    http://arxiv.org/abs/1905.04097v1

    • [cs.CV]Memory-Attended Recurrent Network for Video Captioning
    Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai
    http://arxiv.org/abs/1905.03966v1

    • [cs.CV]Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
    Eric Brachmann, Carsten Rother
    http://arxiv.org/abs/1905.04132v1

    • [cs.CV]Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks
    Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy
    http://arxiv.org/abs/1905.04243v1

    • [cs.CV]Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
    Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao
    http://arxiv.org/abs/1905.04075v1

    • [cs.CV]SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
    Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, Alex C. Kot
    http://arxiv.org/abs/1905.04088v1

    • [cs.CV]Spatio-temporal Video Re-localization by Warp LSTM
    Yang Feng, Lin Ma, Wei Liu, Jiebo Luo
    http://arxiv.org/abs/1905.03922v1

    • [cs.CV]Support Relation Analysis for Objects in Multiple View RGB-D Images
    Peng Zhang, Xiaoyu Ge, Jochen Renz
    http://arxiv.org/abs/1905.04084v1

    • [cs.CV]Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs
    Okan Köpüklü, Yao Rong, Gerhard Rigoll
    http://arxiv.org/abs/1905.04225v1

    • [cs.CV]Towards Egocentric Person Re-identification and Social Pattern Analysis
    Estefania Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
    http://arxiv.org/abs/1905.04073v1

    • [cs.CV]Towards Emotion Retrieval in Egocentric PhotoStream
    Estefania Talavera, Petia Radeva, Nicolai Petkov
    http://arxiv.org/abs/1905.04107v1

    • [cs.CV]Towards Unsupervised Familiar Scene Recognition in Egocentric Videos
    Estefania Talavera, Nicolai Petkov, Petia Radeva
    http://arxiv.org/abs/1905.04093v1

    • [cs.CV]Unsupervised routine discovery in egocentric photo-streams
    Estefania Talavera, Nicolai Petkov, Petia Radeva
    http://arxiv.org/abs/1905.04076v1

    • [cs.CV]Virtual Mixup Training for Unsupervised Domain Adaptation
    Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, Qing Li
    http://arxiv.org/abs/1905.04215v1

    • [cs.CY]A model to assess customer alignment through customer experience concepts - Preprint version
    Leonardo Munoz, Oscar Avila
    http://arxiv.org/abs/1905.02356v2

    • [cs.CY]A survival model for course-course interactions in a Massive Open Online Course platform
    Edwin H. Wintermute, Matthieu Cisel, Ariel B. Lindner
    http://arxiv.org/abs/1905.04201v1

    • [cs.CY]Business and Information Technology Alignment Measurement — a recent Literature Review
    Leonardo Munoz, Oscar Avila
    http://arxiv.org/abs/1905.02349v2

    • [cs.CY]On the Inevitability of Online Echo Chambers
    Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
    http://arxiv.org/abs/1905.03919v1

    • [cs.DB]Selectivity Estimation with Deep Likelihood Models
    Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
    http://arxiv.org/abs/1905.04278v1

    • [cs.DC]Charlotte: Composable Authenticated Distributed Data Structures, Technical Report
    Isaac Sheff, Xinwen Wang, Haobin Ni, Robbert van Renesse, Andrew C. Myers
    http://arxiv.org/abs/1905.03888v1

    • [cs.DC]PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs
    Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
    http://arxiv.org/abs/1905.04264v1

    • [cs.DC]Priority-based Parameter Propagation for Distributed DNN Training
    Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
    http://arxiv.org/abs/1905.03960v1

    • [cs.DM]Robustness: a New Form of Heredity Motivated by Dynamic Networks
    Arnaud Casteigts, Swan Dubois, Franck Petit, John M. Robson
    http://arxiv.org/abs/1905.04106v1

    • [cs.DS]Refined Complexity of PCA with Outliers
    Fedor V. Fomin, Petr A. Golovach, Fahad Panolan, Kirill Simonov
    http://arxiv.org/abs/1905.04124v1

    • [cs.ET]Convolutional Neural Networks Utilizing Multifunctional Spin-Hall MTJ Neurons
    Andrew W. Stephan, Steven J. Koester
    http://arxiv.org/abs/1905.03812v1

    • [cs.GR]An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
    Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma
    http://arxiv.org/abs/1905.04000v1

    • [cs.HC]A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
    Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Mcalpine
    http://arxiv.org/abs/1905.04149v1

    • [cs.IT]Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors
    Yanting Ma, Cynthia Rush, Dror Baron
    http://arxiv.org/abs/1905.03913v1

    • [cs.IT]On Unlimited Sampling and Reconstruction
    Ayush Bhandari, Felix Krahmer, Ramesh Raskar
    http://arxiv.org/abs/1905.03901v1

    • [cs.IT]**On the Distribution of AoI for the GI/GI/1/1 and GI/GI/1/2 Systems: Exact Expressions and Bounds
    Jaya Prakash Champati, Hussein Al-Zubaidy, James Gross
    http://arxiv.org/abs/1905.04068v1

    • [cs.IT]Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
    Mohsen Joneidi, Nazanin Rahnavard
    http://arxiv.org/abs/1905.04284v1

    • [cs.LG]A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
    K. Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
    http://arxiv.org/abs/1905.04199v1

    • [cs.LG]Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
    Rob Ashmore, Radu Calinescu, Colin Paterson
    http://arxiv.org/abs/1905.04223v1

    • [cs.LG]Attention-based Deep Reinforcement Learning for Multi-view Environments
    Elaheh Barati, Xuewen Chen, Zichun Zhong
    http://arxiv.org/abs/1905.03985v1

    • [cs.LG]Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning
    Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
    http://arxiv.org/abs/1905.04181v1

    • [cs.LG]Bayesian Optimized Continual Learning with Attention Mechanism
    Ju Xu, Jin Ma, Zhanxing Zhu
    http://arxiv.org/abs/1905.03980v1

    • [cs.LG]Compressing Weight-updates for Image Artifacts Removal Neural Networks
    Yat Hong Lam, Alireza Zare, Caglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska Hannuksela
    http://arxiv.org/abs/1905.04079v1

    • [cs.LG]Credit Scoring for Micro-Loans
    Nikolay Dubina, Dasom Kang, Alex Suh
    http://arxiv.org/abs/1905.03946v1

    • [cs.LG]Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
    Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang
    http://arxiv.org/abs/1905.04035v1

    • [cs.LG]Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
    Andrei Claudiu Roibu
    http://arxiv.org/abs/1905.04127v1

    • [cs.LG]Differentially Private Learning with Adaptive Clipping
    Om Thakkar, Galen Andrew, H. Brendan McMahan
    http://arxiv.org/abs/1905.03871v1

    • [cs.LG]Do Autonomous Agents Benefit from Hearing?
    Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamaki
    http://arxiv.org/abs/1905.04192v1

    • [cs.LG]Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
    Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao
    http://arxiv.org/abs/1905.04094v1

    • [cs.LG]Exploring the Hyperparameter Landscape of Adversarial Robustness
    Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy
    http://arxiv.org/abs/1905.03837v1

    • [cs.LG]Formal Verification of Input-Output Mappings of Tree Ensembles
    John Törnblom, Simin Nadjm-Tehrani
    http://arxiv.org/abs/1905.04194v1

    • [cs.LG]GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
    Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Xianfu Chen
    http://arxiv.org/abs/1905.03929v1

    • [cs.LG]Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
    Tong Wang, Qihang Lin
    http://arxiv.org/abs/1905.04241v1

    • [cs.LG]Integrating Tensor Similarity to Enhance Clustering Performance
    Hong Peng, Jiazhou Chen, Haiyan Wang, Yu Hu, Hongmin Cai
    http://arxiv.org/abs/1905.03920v1

    • [cs.LG]Interpreting and Evaluating Neural Network Robustness
    Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
    http://arxiv.org/abs/1905.04270v1

    • [cs.LG]Multiple Independent Subspace Clusterings
    Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo
    http://arxiv.org/abs/1905.04191v1

    • [cs.LG]Mutual Information Scaling and Expressive Power of Sequence Models
    Huitao Shen
    http://arxiv.org/abs/1905.04271v1

    • [cs.LG]Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
    Max Simchowitz, Kevin Jamieson
    http://arxiv.org/abs/1905.03814v1

    • [cs.LG]Predicting Path Failure In Time-Evolving Graphs
    Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
    http://arxiv.org/abs/1905.03994v1

    • [cs.LG]Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
    Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
    http://arxiv.org/abs/1905.04042v1

    • [cs.LG]Reinforcement Learning in Non-Stationary Environments
    Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar
    http://arxiv.org/abs/1905.03970v1

    • [cs.LG]Second Order Value Iteration in Reinforcement Learning
    Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
    http://arxiv.org/abs/1905.03927v1

    • [cs.LG]Single-Path NAS: Device-Aware Efficient ConvNet Design
    Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
    http://arxiv.org/abs/1905.04159v1

    • [cs.LG]Supervized Segmentation with Graph-Structured Deep Metric Learning
    Loic Landrieu, Mohamed Boussaha
    http://arxiv.org/abs/1905.04014v1

    • [cs.LG]Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning
    Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
    http://arxiv.org/abs/1905.03911v1

    • [cs.LG]The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems
    K. Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin
    http://arxiv.org/abs/1905.04206v1

    • [cs.MA]Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
    Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien
    http://arxiv.org/abs/1905.04077v1

    • [cs.MA]On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
    Stefan Rudolph, Sven Tomforde, Jörg Hähner
    http://arxiv.org/abs/1905.04205v1

    • [cs.NI]P4BFT: Hardware-Accelerated Byzantine-Resilient Network Control Plane
    Ermin Sakic, Nemanja Deric, Endri Goshi, Wolfgang Kellerer
    http://arxiv.org/abs/1905.04064v1

    • [cs.PL]Dynamic Verification with Observational Equivalence of C/C++ Concurrency
    Sanjana Singh, Divyanjali Sharma, Subodh Sharma
    http://arxiv.org/abs/1905.03957v1

    • [cs.RO]An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs
    Daniele Palossi, Francesco Conti, Luca Benini
    http://arxiv.org/abs/1905.04166v1

    • [cs.RO]Autonomous Locomotion Mode Transition Simulation of a Track-legged Quadruped Robot Step Negotiation
    J. Wang, A. Ramirez-Serrano, K. A. Davies
    http://arxiv.org/abs/1905.04235v1

    • [cs.RO]Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization
    Kanrun Huang, Tucker Hermans
    http://arxiv.org/abs/1905.03907v1

    • [cs.RO]Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System
    Nuno Ferreira Duarte, Mirko Raković, José Santos-Victor
    http://arxiv.org/abs/1905.04072v1

    • [cs.RO]Quantifying Teaching Behaviour in Robot Learning from Demonstration
    Aran Sena, Matthew J Howard
    http://arxiv.org/abs/1905.04218v1

    • [cs.RO]Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped
    Nathan Kau, Aaron Schultz, Natalie Ferrante, Patrick Slade
    http://arxiv.org/abs/1905.04254v1

    • [cs.SD]On the representation of speech and music
    David N. Levin
    http://arxiv.org/abs/1905.03278v1

    • [cs.SE]When Deep Learning Met Code Search
    Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra
    http://arxiv.org/abs/1905.03813v1

    • [cs.SI]Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
    Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou, Rafael Andreou, George Pallis, Marios D. Dikaiakos, Evangelos Markatos
    http://arxiv.org/abs/1905.04260v1

    • [cs.SY]Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach
    Hamid Shiri, Jihong Park, Mehdi Bennis
    http://arxiv.org/abs/1905.04152v1

    • [econ.EM]Demand and Welfare Analysis in Discrete Choice Models with Social Interactions
    Debopam Bhattacharya, Pascaline Dupas, Shin Kanaya
    http://arxiv.org/abs/1905.04028v1

    • [eess.AS]Semi-supervised and Population Based Training for Voice Commands Recognition
    Oguz H. Elibol, Gokce Keskin, Anil Thomas
    http://arxiv.org/abs/1905.04230v1

    • [eess.IV]T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
    Tae Joon Jun, Jihoon Kweon, Young-Hak Kim, Daeyoung Kim
    http://arxiv.org/abs/1905.04197v1

    • [eess.IV]Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
    Dongwook Lee, Won-Jin Moon, Jong Chul Ye
    http://arxiv.org/abs/1905.04105v1

    • [eess.SP]Beamforming Algorithm for Multiuser Wideband Millimeter-Wave Systems with Hybrid and Subarray Architectures
    Carlos A. Viteri-Mera, Fernando L. Teixeira
    http://arxiv.org/abs/1905.03918v1

    • [eess.SP]Efficient Channel AoD/AoA Estimation Using Widebeams for Millimeter Wave MIMO Systems
    Hyeongtaek Lee, Sucheol Kim, Junil Choi
    http://arxiv.org/abs/1905.03930v1

    • [eess.SP]Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning
    Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor
    http://arxiv.org/abs/1905.04041v1

    • [eess.SP]Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation
    Mingda Zhou, Zhe Feng, Xinming Huang, Youjian, Liu
    http://arxiv.org/abs/1905.03808v1

    • [eess.SP]Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)
    Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad
    http://arxiv.org/abs/1905.04200v1

    • [math.OC]Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
    Yang Yang, Marius Pesavento, Zhi-Quan Luo, Björn Ottersten
    http://arxiv.org/abs/1905.04211v1

    • [math.OC]Inverse optimal transport
    Andrew M. Stuart, Marie-Therese Wolfram
    http://arxiv.org/abs/1905.03950v1

    • [math.PR]Asymptotic laws for upper and strong record values in the extreme domain of attraction and beyond
    Gane Samb Lo, Mohammad ahsanullah
    http://arxiv.org/abs/1905.03380v2

    • [math.PR]On limit theorems for persistent Betti numbers from dependent data
    Johannes T. N. Krebs
    http://arxiv.org/abs/1905.04045v1

    • [math.ST]Illumination depth
    Stanislav Nagy, Jiří Dvořák
    http://arxiv.org/abs/1905.04119v1

    • [math.ST]Large scale in transit computation of quantiles for ensemble runs
    Alejandro Ribes, Théophile Terraz, Bertrand Iooss, Yvan Fournier, Bruno Raffin
    http://arxiv.org/abs/1905.04180v1

    • [math.ST]Optimal rates for F-score binary classification
    Evgenii Chzhen
    http://arxiv.org/abs/1905.04039v1

    • [math.ST]Robust high dimensional learning for Lipschitz and convex losses
    Geoffrey Chinot, Guillaume Lecué, Matthieu Lerasle
    http://arxiv.org/abs/1905.04281v1

    • [math.ST]Why scoring functions cannot assess tail properties
    Jonas Brehmer, Kirstin Strokorb
    http://arxiv.org/abs/1905.04233v1

    • [physics.comp-ph]Fast electrostatic solvers for kinetic Monte Carlo simulations
    William Robert Saunders, James Grant, Eike Hermann Müller, Ian Thompson
    http://arxiv.org/abs/1905.04065v1

    • [stat.AP]Confidence intervals with maximal average power
    Christian Bartels, Johanna Mielke, Ekkehard Glimm
    http://arxiv.org/abs/1905.03981v1

    • [stat.AP]Dynamic principal component regression: Application to age-specific mortality forecasting
    Han Lin Shang
    http://arxiv.org/abs/1905.03900v1

    • [stat.ME]Comparison Between Bayesian and Frequentist Tail Probability Estimates
    Nan Shen, Bárbara González, Luis Raúl Pericchi
    http://arxiv.org/abs/1905.03426v1

    • [stat.ME]Extreme events evaluation using CRPS distributions
    Maxime Taillardat, Anne-Laure Fougères, Philippe Naveau, Raphaël de Fondeville
    http://arxiv.org/abs/1905.04022v1

    • [stat.ME]Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments
    Adam Kapelner, Abba M. Krieger, Michael Sklar, David Azriel
    http://arxiv.org/abs/1905.03337v1

    • [stat.ML]A Contrastive Divergence for Combining Variational Inference and MCMC
    Francisco J. R. Ruiz, Michalis K. Titsias
    http://arxiv.org/abs/1905.04062v1

    • [stat.ML]On the Connection Between Adversarial Robustness and Saliency Map Interpretability
    Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/1905.04172v1

    • [stat.ML]The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima?
    Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis
    http://arxiv.org/abs/1905.04121v1