A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
To bridge the gap, in this paper, we propose AutoOD, an automated outlier detection framework, which aims to search for an optimal neural network model within a predefined search space. ... We further introduce an experience replay mechanism based on self-imitation learning to improve the sample efficiency. ... AutoOD builds on the theory of curiosity-driven exploration and self-imitation learning. ...arXiv:2006.11321v1 fatcat:sqptlaxro5gb7frxdugtvje46y