2 papers
cs.LG2020
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
Zhe Li, Chunhua Sun, Chunli Liu +3
Outlier detection is an important task in data mining and many technologies have been explored in various applications. However, due to the default assumption that outliers are non…
cs.LG2018
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…