Lorenzo Perini

How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection

2023 · Lirias (KU Leuven)

Anomaly detection attempts at finding examples that deviate from the expected behaviour. Usually, anomaly detection is tackled from an unsupervised perspective because anomalous labels are rare and difficult to acquire. However, the lack of labels …