Seunghwan Park

Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection

Outlier detection (OD) aims to identify abnormal instances, known as outliers or anomalies, by learning typical patterns of normal data, or inliers. Performing OD under an unsupervised regime--without any information about anomalous instances in the training data--is challenging. A recently observed