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