Mingbin Feng

Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection

Time series anomaly detection (TSAD) plays a vital role in many industrial applications. While contrastive learning has gained momentum in the time series domain for its prowess in extracting meaningful representations from unlabeled data, its straightforward application to anomaly detection is not…