Generative Adversarial Active Learning for Unsupervised Outlier Detection

2 code implementations • 28 Sep 2018 • Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He

In this paper, we approach outlier detection as a binary-classification issue by sampling potential outliers from a uniform reference distribution.

Active Learning Binary Classification +1