JaesungHwang

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

The unsupervised outlier detection (UOD) problem refers to a task to identify inliers given training data which contain outliers as well as inliers, without any labeled information about inliers and outliers. It has been widely recognized that using fully-trained likelihood-based deep generative mod…