Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection

Katrina Chen, Mingbin Feng, Tony S. Wirjanto

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…