Tri Cao

Anomaly Detection under Distribution Shift

2023

Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studiesassume that the training …

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection

2024 · arXiv (Cornell University)

Anomaly detection (AD) is a machine learning task that identifies anomalies by learning patterns from normal training data. In many real-world scenarios, anomalies vary in severity, from minor anomalies with little risk to severe abnormalities …