Generative Adversarial Active Learning for Unsupervised Outlier Detection

Yezheng Liu, Zhe Li, Chong Zhou +4

Outlier detection is an important topic in machine learning and has been used in a wide range of applications. In this paper, we approach outlier detection as a binary-classificati…