cs.AI - 人工智能
cs.CE - 计算工程、 金融和科学
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.GT - 计算机科学与博弈论
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
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.IV - 图像与视频处理
math.CA - 古典分析与常微分方程
math.ST - 统计理论
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
stat.OT - 其他统计学
• [cs.AI]Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game
• [cs.AI]Transfer Learning for Prosthetics Using Imitation Learning
• [cs.CE]A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating
• [cs.CL]A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
• [cs.CL]Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection
• [cs.CL]Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
• [cs.CL]Human few-shot learning of compositional instructions
• [cs.CL]Incremental Reading for Question Answering
• [cs.CR]Selfish Mining in Ethereum
• [cs.CV]A deep learning approach to solar-irradiance forecasting in sky-videos
• [cs.CV]AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
• [cs.CV]Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning
• [cs.CV]Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
• [cs.CV]Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
• [cs.CV]DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
• [cs.CV]Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
• [cs.CV]Early Salient Region Selection Does Not Drive Rapid Visual Categorization
• [cs.CV]Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
• [cs.CV]Feature Boosting Network For 3D Pose Estimation
• [cs.CV]Multi-modal Ensemble Classification for Generalized Zero Shot Learning
• [cs.CV]Resampling detection of recompressed images via dual-stream convolutional neural network
• [cs.CV]SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
• [cs.CV]Self-Supervised Deep Active Accelerated MRI
• [cs.CV]Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
• [cs.CV]Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
• [cs.CV]Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
• [cs.CV]Toward Explainable Fashion Recommendation
• [cs.CV]URNet : User-Resizable Residual Networks with Conditional Gating Module
• [cs.CV]Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
• [cs.CY]BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala
• [cs.CY]Topological Analysis of Bitcoin's Lightning Network
• [cs.DC]Blockchain enabled fog structure to provide data security in IoT applications
• [cs.DC]Byzantine Consensus under Local Broadcast Model: Tight Sufficient Condition
• [cs.DC]NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications
• [cs.DC]Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2019
• [cs.DC]Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
• [cs.GT]Self-Stabilization Through the Lens of Game Theory
• [cs.IR]Integrating and querying similar tables from PDF documents using deep learning
• [cs.IR]Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval
• [cs.IR]Passage Re-ranking with BERT
• [cs.IT]A New Inequality Related to Proofs of Strong Converse Theorems in Multiterminal Information Theory
• [cs.IT]Decentralized Asynchronous Coded Caching Design and Performance Analysis in Fog Radio Access Networks
• [cs.IT]Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes
• [cs.IT]Distributed Stochastic Gradient Descent Using LDGM Codes
• [cs.IT]Integrated Access and Backhaul Optimization for Millimeter Wave Heterogeneous Networks
• [cs.IT]Linear Network Coding: Effects of Varying the Message Dimension on the Set of Characteristics
• [cs.IT]Multihop Routing for Data Delivery in V2X Networks
• [cs.IT]Multiple Importance Sampling for Efficient Symbol Error Rate Estimation
• [cs.IT]Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement
• [cs.IT]Unicast-Uniprior Index Coding Problems: Minrank and Criticality
• [cs.LG]A Novel Topology Optimization Approach using Conditional Deep Learning
• [cs.LG]Combinatorial Sleeping Bandits with Fairness Constraints
• [cs.LG]Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
• [cs.LG]DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
• [cs.LG]Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
• [cs.LG]Identifying and Correcting Label Bias in Machine Learning
• [cs.LG]Imitation-Regularized Offline Learning
• [cs.LG]Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
• [cs.LG]Online Algorithm for Unsupervised Sensor Selection
• [cs.LG]Practical Lossless Compression with Latent Variables using Bits Back Coding
• [cs.LG]Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
• [cs.LG]Tightening Mutual Information Based Bounds on Generalization Error
• [cs.LG]XNet: GAN Latent Space Constraints
• [cs.LO]Unconstrained Church-Turing thesis cannot possibly be true
• [cs.PL]AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
• [cs.RO]Learning Autonomous Exploration and Mapping with Semantic Vision
• [cs.RO]Optimal Needle Diameter, Shape, and Path in Autonomous Suturing
• [cs.RO]Sensorless Hand Guidance using Microsoft Hololens
• [cs.SD]Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN
• [cs.SD]Music Artist Classification with Convolutional Recurrent Neural Networks
• [cs.SD]Phoneme-Based Persian Speech Recognition
• [cs.SE]A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
• [cs.SI]Sharing emotions at scale: The Vent dataset
• [cs.SI]Spectral rejection for testing hypotheses of structure in networks
• [cs.SY]Adaptive Guidance with Reinforcement Meta-Learning
• [cs.SY]Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
• [econ.EM]Inference on Functionals under First Order Degeneracy
• [eess.IV]Electrical Impedance Tomography based on Genetic Algorithm
• [eess.IV]Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
• [math.CA]A forgotten Theorem of Schoenberg on one-sided integral averages
• [math.ST]Change-point Detection by the Quantile LASSO Method
• [math.ST]Only Closed Testing Procedures are Admissible for Controlling False Discovery Proportions
• [quant-ph]Separation and approximate separation of multipartite quantum gates
• [stat.AP]Optimal acceptance sampling for modules F and F1 of the European Measuring Instruments Directive
• [stat.AP]Six-Day Footraces in the Post-Pedestrianism Era
• [stat.AP]Statistical models for short and long term forecasts of snow depth
• [stat.CO]Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach
• [stat.CO]High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
• [stat.CO]Optimization of Survey Weights under a Large Number of Conflicting Constraints
• [stat.ME]A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications
• [stat.ME]An Ensemble Method for Interval-Censored Time-to-Event Data
• [stat.ME]Exact Power of the Rank-Sum Test for a Continuous Variable
• [stat.ME]Parameter Estimation in Abruptly Changing Dynamic Environments
• [stat.ME]Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations
• [stat.ME]Second-order variational equations for spatial point processes with a view to pair correlation function estimation
• [stat.ME]Semiparametric multi-parameter regression survival modelling
• [stat.ML]Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
• [stat.ML]Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
• [stat.ML]Interpretable machine learning: definitions, methods, and applications
• [stat.ML]Learning Direct and Inverse Transmission Matrices
• [stat.ML]Mixed Variational Inference
• [stat.ML]Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis
• [stat.ML]Optimistic optimization of a Brownian
• [stat.ML]The Limitations of Adversarial Training and the Blind-Spot Attack
• [stat.OT]Approaching Ethical Guidelines for Data Scientists
·····································
• [cs.AI]Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game
Liudmyla Nechepurenko, Viktor Voss, Vyacheslav Gritsenko
http://arxiv.org/abs/1901.04626v1
• [cs.AI]Transfer Learning for Prosthetics Using Imitation Learning
Montaser Mohammedalamen, Waleed D. Khamies, Benjamin Rosman
http://arxiv.org/abs/1901.04772v1
• [cs.CE]A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating
Ece Calikus, Slawomir Nowaczyk, Anita Sant'Anna, Henrik Gadd, Sven Werner
http://arxiv.org/abs/1901.04863v1
• [cs.CL]A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Dilek Küçük, Fazli Can
http://arxiv.org/abs/1901.04787v1
• [cs.CL]Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection
Loreto Parisi, Simone Francia, Silvio Olivastri, Maria Stella Tavella
http://arxiv.org/abs/1901.04831v1
• [cs.CL]Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
Chien-Sheng Wu, Richard Socher, Caiming Xiong
http://arxiv.org/abs/1901.04713v1
• [cs.CL]Human few-shot learning of compositional instructions
Brenden M. Lake, Tal Linzen, Marco Baroni
http://arxiv.org/abs/1901.04587v1
• [cs.CL]Incremental Reading for Question Answering
Samira Abnar, Tania Bedrax-weiss, Tom Kwiatkowski, William W. Cohen
http://arxiv.org/abs/1901.04936v1
• [cs.CR]Selfish Mining in Ethereum
Jianyu Niu, Chen Feng
http://arxiv.org/abs/1901.04620v1
• [cs.CV]A deep learning approach to solar-irradiance forecasting in sky-videos
Talha A. Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman
http://arxiv.org/abs/1901.04881v1
• [cs.CV]AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo
http://arxiv.org/abs/1901.04596v1
• [cs.CV]Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning
Yi Zhen, Hang Chen, Xu Zhang, Meng Liu, Xin Meng, Jian Zhang, Jiantao Pu
http://arxiv.org/abs/1901.04540v1
• [cs.CV]Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
Y. S. Gan, Sze-Teng Liong, Yen-Chang Huang
http://arxiv.org/abs/1901.04947v1
• [cs.CV]Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
http://arxiv.org/abs/1901.04949v1
• [cs.CV]DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
http://arxiv.org/abs/1901.04780v1
• [cs.CV]Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe
http://arxiv.org/abs/1901.04604v1
• [cs.CV]Early Salient Region Selection Does Not Drive Rapid Visual Categorization
John K. Tsotsos, Iuliia Kotseruba, Calden Wloka
http://arxiv.org/abs/1901.04908v1
• [cs.CV]Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Hao Tang, Hong Liu, Wei Xiao, Nicu Sebe
http://arxiv.org/abs/1901.04622v1
• [cs.CV]Feature Boosting Network For 3D Pose Estimation
Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot
http://arxiv.org/abs/1901.04877v1
• [cs.CV]Multi-modal Ensemble Classification for Generalized Zero Shot Learning
Rafael Felix, Michele Sasdelli, Ian Reid, Gustavo Carneiro
http://arxiv.org/abs/1901.04623v1
• [cs.CV]Resampling detection of recompressed images via dual-stream convolutional neural network
Antao Zhou, Gang Cao, Xianglin Huang, Gege Song, Lifang Yang
http://arxiv.org/abs/1901.04637v1
• [cs.CV]SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong
http://arxiv.org/abs/1901.04641v1
• [cs.CV]Self-Supervised Deep Active Accelerated MRI
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
http://arxiv.org/abs/1901.04547v1
• [cs.CV]Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
Philip Sellars, Angelica Aviles-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibane Schönlieb
http://arxiv.org/abs/1901.04240v2
• [cs.CV]Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Felix M. Riese, Sina Keller
http://arxiv.org/abs/1901.04846v1
• [cs.CV]Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao
http://arxiv.org/abs/1901.04656v1
• [cs.CV]Toward Explainable Fashion Recommendation
Pongsate Tangseng, Takayuki Okatani
http://arxiv.org/abs/1901.04870v1
• [cs.CV]URNet : User-Resizable Residual Networks with Conditional Gating Module
Simyung Chang, Sang-ho Lee, Nojun Kwak
http://arxiv.org/abs/1901.04687v1
• [cs.CV]Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
Timo Kohlberger, Yun Liu, Melissa Moran, Po-Hsuan, Chen, Trissia Brown, Craig H. Mermel, Jason D. Hipp, Martin C. Stumpe
http://arxiv.org/abs/1901.04619v1
• [cs.CY]BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala
E. I. Velazquez Richards, E. Gallagher, P. Suárez-Serrato
http://arxiv.org/abs/1901.04542v1
• [cs.CY]Topological Analysis of Bitcoin's Lightning Network
István András Seres, László Gulyás, Dániel A. Nagy, Péter Burcsi
http://arxiv.org/abs/1901.04972v1
• [cs.DC]Blockchain enabled fog structure to provide data security in IoT applications
Mozhdeh Farhadi, Daniele Miorandi, Guillaume Pierre
http://arxiv.org/abs/1901.04830v1
• [cs.DC]Byzantine Consensus under Local Broadcast Model: Tight Sufficient Condition
Muhammad Samir Khan, Nitin H. Vaidya
http://arxiv.org/abs/1901.03804v2
• [cs.DC]NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications
MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Wook Song, Jaeyun Jung, Hyoungjoo Ahn, Sangjung Woo, Youngchul Cho, Jinhyuck Park, Sewon Oh, Hong-Seok Kim
http://arxiv.org/abs/1901.04985v1
• [cs.DC]Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2019
David Castells-Rufas, Cédric Bastoul
http://arxiv.org/abs/1901.04797v1
• [cs.DC]Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
Aajna Karki, Chethan Palangotu Keshava, Spoorthi Mysore Shivakumar, Joshua Skow, Goutam Madhukeshwar Hegde, Hyeran Jeon
http://arxiv.org/abs/1901.04987v1
• [cs.GT]Self-Stabilization Through the Lens of Game Theory
Krzysztof R. Apt, Ehsan Shoja
http://arxiv.org/abs/1901.04709v1
• [cs.IR]Integrating and querying similar tables from PDF documents using deep learning
Rahul Anand, Hye-Young Paik, Cheng Wang
http://arxiv.org/abs/1901.04672v1
• [cs.IR]Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval
Zhenguo Yang, Zehang Lin, Peipei Kang, Jianming Lv, Qing Li, Wenyin Liu
http://arxiv.org/abs/1901.04268v2
• [cs.IR]Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
http://arxiv.org/abs/1901.04085v2
• [cs.IT]A New Inequality Related to Proofs of Strong Converse Theorems in Multiterminal Information Theory
Yasutada Oohama
http://arxiv.org/abs/1901.04968v1
• [cs.IT]Decentralized Asynchronous Coded Caching Design and Performance Analysis in Fog Radio Access Networks
Yanxiang Jiang, Wenlong Huang, Mehdi Bennis, Fu-Chun Zheng
http://arxiv.org/abs/1901.04476v1
• [cs.IT]Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes
Tadashi Wadayama, Satoshi Takabe
http://arxiv.org/abs/1901.04630v1
• [cs.IT]Distributed Stochastic Gradient Descent Using LDGM Codes
Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi, Toshiyasu Matsushima
http://arxiv.org/abs/1901.04668v1
• [cs.IT]Integrated Access and Backhaul Optimization for Millimeter Wave Heterogeneous Networks
Yilin Li, Jian Luo, Richard A. Stirling-Gallacher, Giuseppe Caire
http://arxiv.org/abs/1901.04959v1
• [cs.IT]Linear Network Coding: Effects of Varying the Message Dimension on the Set of Characteristics
Niladri Das, Brijesh Kumar Rai
http://arxiv.org/abs/1901.04820v1
• [cs.IT]Multihop Routing for Data Delivery in V2X Networks
Yilin Li, Jian Luo, Richard A. Stirling-Gallacher, Zhongfeng Li, Giuseppe Caire
http://arxiv.org/abs/1901.04962v1
• [cs.IT]Multiple Importance Sampling for Efficient Symbol Error Rate Estimation
Víctor Elvira, Ignacio Santamaría
http://arxiv.org/abs/1901.04918v1
• [cs.IT]Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement
Jie Gong, Qiaobin Kuang, Xiang Chen, Xiao Ma
http://arxiv.org/abs/1901.04654v1
• [cs.IT]Unicast-Uniprior Index Coding Problems: Minrank and Criticality
Niranjana Ambadi
http://arxiv.org/abs/1901.04926v1
• [cs.LG]A Novel Topology Optimization Approach using Conditional Deep Learning
Sharad Rawat, M. -H. Herman Shen
http://arxiv.org/abs/1901.04859v1
• [cs.LG]Combinatorial Sleeping Bandits with Fairness Constraints
Fengjiao Li, Jia Liu, Bo Ji
http://arxiv.org/abs/1901.04891v1
• [cs.LG]Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
Yuanyuan Zhang, Zi-Rui Wang, Jun Du
http://arxiv.org/abs/1901.04889v1
• [cs.LG]DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
http://arxiv.org/abs/1901.04704v1
• [cs.LG]Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
http://arxiv.org/abs/1901.04730v1
• [cs.LG]Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang, Ofir Nachum
http://arxiv.org/abs/1901.04966v1
• [cs.LG]Imitation-Regularized Offline Learning
Yifei Ma, Yu-Xiang Wang, Balakrishnan, Narayanaswamy
http://arxiv.org/abs/1901.04723v1
• [cs.LG]Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-wei H. Lehman, Andrew Ross, Aldo Faisal, Finale Doshi-Velez
http://arxiv.org/abs/1901.04670v1
• [cs.LG]Online Algorithm for Unsupervised Sensor Selection
Arun Verma, Manjesh K. Hanawal, Csaba Szepesvári, Venkatesh Saligrama
http://arxiv.org/abs/1901.04676v1
• [cs.LG]Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend, Tom Bird, David Barber
http://arxiv.org/abs/1901.04866v1
• [cs.LG]Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
http://arxiv.org/abs/1901.04562v1
• [cs.LG]Tightening Mutual Information Based Bounds on Generalization Error
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli
http://arxiv.org/abs/1901.04609v1
• [cs.LG]XNet: GAN Latent Space Constraints
Omry Sendik, Dani Lischinski, Daniel CohenOr
http://arxiv.org/abs/1901.04530v1
• [cs.LO]Unconstrained Church-Turing thesis cannot possibly be true
Yuri Gurevich
http://arxiv.org/abs/1901.04911v1
• [cs.PL]AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
Ameer Haj-Ali, Qijing Huang, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
http://arxiv.org/abs/1901.04615v1
• [cs.RO]Learning Autonomous Exploration and Mapping with Semantic Vision
Xiangyang Zhi, Xuming He, Sören Schwertfeger
http://arxiv.org/abs/1901.04782v1
• [cs.RO]Optimal Needle Diameter, Shape, and Path in Autonomous Suturing
S. Aghajani Pedram, P. Ferguson, J. Ma, E. Dutson, J. Rosen
http://arxiv.org/abs/1901.04588v1
• [cs.RO]Sensorless Hand Guidance using Microsoft Hololens
David Puljiz, Erik Stöhr, Katharina S. Riesterer, Björn Hein, Torsten Kröger
http://arxiv.org/abs/1901.04933v1
• [cs.SD]Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN
Saber Malekzadeh, Maryam Samami, Shahla RezazadehAzar, Maryam Rayegan
http://arxiv.org/abs/1901.04696v1
• [cs.SD]Music Artist Classification with Convolutional Recurrent Neural Networks
Zain Nasrullah, Yue Zhao
http://arxiv.org/abs/1901.04555v1
• [cs.SD]Phoneme-Based Persian Speech Recognition
Saber Malekzadeh
http://arxiv.org/abs/1901.04699v1
• [cs.SE]A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
Basel Magableh
http://arxiv.org/abs/1901.04011v2
• [cs.SI]Sharing emotions at scale: The Vent dataset
Nikolaos Lykousas, Costantinos Patsakis, Andreas Kaltenbrunner, Vicenç Gómez
http://arxiv.org/abs/1901.04856v1
• [cs.SI]Spectral rejection for testing hypotheses of structure in networks
Mark D. Humphries, Javier A. Caballero, Mat Evans, Silvia Maggi, Abhinav Singh
http://arxiv.org/abs/1901.04747v1
• [cs.SY]Adaptive Guidance with Reinforcement Meta-Learning
Brian Gaudet, Richard Linares
http://arxiv.org/abs/1901.04473v1
• [cs.SY]Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
Guanyu Gao, Jie Li, Yonggang Wen
http://arxiv.org/abs/1901.04693v1
• [econ.EM]Inference on Functionals under First Order Degeneracy
Qihui Chen, Zheng Fang
http://arxiv.org/abs/1901.04861v1
• [eess.IV]Electrical Impedance Tomography based on Genetic Algorithm
Mingyong Zhou
http://arxiv.org/abs/1901.04872v1
• [eess.IV]Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomas E. Ward
http://arxiv.org/abs/1901.04618v1
• [math.CA]A forgotten Theorem of Schoenberg on one-sided integral averages
Stefan Steinerberger
http://arxiv.org/abs/1901.04953v1
• [math.ST]Change-point Detection by the Quantile LASSO Method
Gabriela Ciuperca, Matúš Maciak
http://arxiv.org/abs/1901.04691v1
• [math.ST]Only Closed Testing Procedures are Admissible for Controlling False Discovery Proportions
Jelle Goeman, Jesse Hemerik, Aldo Solari
http://arxiv.org/abs/1901.04885v1
• [quant-ph]Separation and approximate separation of multipartite quantum gates
Kan He, Shusen Liu, Jinchuan Hou
http://arxiv.org/abs/1901.04629v1
• [stat.AP]Optimal acceptance sampling for modules F and F1 of the European Measuring Instruments Directive
Cord A. Müller
http://arxiv.org/abs/1901.04869v1
• [stat.AP]Six-Day Footraces in the Post-Pedestrianism Era
Greg Salvesen
http://arxiv.org/abs/1901.04610v1
• [stat.AP]Statistical models for short and long term forecasts of snow depth
Hugo Lewi Hammer
http://arxiv.org/abs/1901.04695v1
• [stat.CO]Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach
Shovanur Haque, Kerrie Mengersen, Steven Stern
http://arxiv.org/abs/1901.04779v1
• [stat.CO]High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander
http://arxiv.org/abs/1901.04345v1
• [stat.CO]Optimization of Survey Weights under a Large Number of Conflicting Constraints
Matthew R. Williams, Terrance D. Savitsky
http://arxiv.org/abs/1901.03791v1
• [stat.ME]A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications
Bas B. L. Penning de Vries, Maarten van Smeden, Rolf H. H. Groenwold
http://arxiv.org/abs/1901.04795v1
• [stat.ME]An Ensemble Method for Interval-Censored Time-to-Event Data
Weichi Yao, Halina Frydman, Jeffrey S. Simonoff
http://arxiv.org/abs/1901.04599v1
• [stat.ME]Exact Power of the Rank-Sum Test for a Continuous Variable
Katie R. Mollan, Ilana M. Trumble, Sarah A. Reifeis, Orlando Ferrer, Camden P. Bay, Pedro L. Baldoni, Michael G. Hudgens
http://arxiv.org/abs/1901.04597v1
• [stat.ME]Parameter Estimation in Abruptly Changing Dynamic Environments
Hugo Lewi Hammer, Anis Yazidi
http://arxiv.org/abs/1901.04678v1
• [stat.ME]Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations
Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
http://arxiv.org/abs/1901.04681v1
• [stat.ME]Second-order variational equations for spatial point processes with a view to pair correlation function estimation
Jean-François Coeurjolly, Francisco Cuevas-Pacheco, Rasmus Waagepetersen
http://arxiv.org/abs/1901.04744v1
• [stat.ME]Semiparametric multi-parameter regression survival modelling
Kevin Burke, Frank Eriksson, C. B. Pipper
http://arxiv.org/abs/1901.04708v1
• [stat.ML]Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant
http://arxiv.org/abs/1901.04827v1
• [stat.ML]Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
Yibo Yang, Paris Perdikaris
http://arxiv.org/abs/1901.04878v1
• [stat.ML]Interpretable machine learning: definitions, methods, and applications
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu
http://arxiv.org/abs/1901.04592v1
• [stat.ML]Learning Direct and Inverse Transmission Matrices
Daniele Ancora, Luca Leuzzi
http://arxiv.org/abs/1901.04816v1
• [stat.ML]Mixed Variational Inference
Nikolaos Gianniotis
http://arxiv.org/abs/1901.04791v1
• [stat.ML]Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis
Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama
http://arxiv.org/abs/1901.04653v1
• [stat.ML]Optimistic optimization of a Brownian
Jean-Bastien Grill, Michal Valko, Rémi Munos
http://arxiv.org/abs/1901.04884v1
• [stat.ML]The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang, Hongge Chen, Zhao Song, Duane Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
http://arxiv.org/abs/1901.04684v1
• [stat.OT]Approaching Ethical Guidelines for Data Scientists
Ursula Garzcarek, Detlef Steuer
http://arxiv.org/abs/1901.04824v1
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