Shaolong Shu

Dynamic Soft Contrastive Learning for Time Series Anomaly Detection

Multivariate time series anomaly detection has been extensively studied in diverse domains. Within the horizon of unsupervised methods, density estimation is regarded as a promising direction. However, the anomalies that distribute closely with normal data in data space impact the desired density es…