Seoyoung Cho

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect

Outlier detection (OD) is the task of identifying unusual observations (or outliers) from a given or upcoming data by learning unique patterns of normal observations (or inliers). Recently, a study introduced a powerful unsupervised OD (UOD) solver based on a new observation of deep generative model…