Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection

Ruiying Lu, Jinhan Liu, Chuan Du +1

Tabular anomaly detection, which aims at identifying deviant samples, has been crucial in a variety of real-world applications, such as medical disease identification, financial fr…