What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics

Kunwoong Kim, Dongha Kim

Outlier detection (OD) aims to identify anomalous instances by learning the underlying structure of normal data (inliers), and is particularly challenging in fully unsupervised set…