AutoOD: Automated Outlier Detection via Curiosity-guided Search and
Self-imitation Learning

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

19 June 2020

Zhengzhang Chen

Daochen Zha

Papers citing "AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning"

11 / 11 papers shown

Title
TODS: An Automated Time Series Outlier Detection System Kwei-Harng Lai Daochen Zha Guanchu Wang Junjie Xu Yue Zhao ... Yile Chen Purav Zumkhawaka Minyang Wan D. Martinez Xia Hu AI4TS 87 65 0 18 Sep 2020
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search Xiangxiang Chu Bo Zhang Ruijun Xu 44 331 0 03 Jul 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 49 719 0 20 Feb 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 89 1,467 0 11 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 52 1,865 0 02 Dec 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 58 799 0 27 Jun 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 149 4,326 0 24 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 96 8,807 0 25 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 74 762 0 17 Aug 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 30 182 0 10 Apr 2017
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments Yi Sun Faustino J. Gomez Jürgen Schmidhuber 57 163 0 29 Mar 2011