Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation

Wei Huang, Yuxuan Xiong, Hezhe Qiao +3

Identifying anomalous instances in tabular data is essential for improving data reliability and maintaining system stability. Due to the scarcity of ground-truth anomaly labels, ex…