Multi-Task Self-Supervised Time-Series Representation Learning

no code implementations • 2 Mar 2023 • Heejeong Choi, Pilsung Kang

We propose a new time-series representation learning method by combining the advantages of self-supervised tasks related to contextual, temporal, and transformation consistency.

Anomaly Detection Contrastive Learning +5

Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection

no code implementations • 21 Feb 2022 • Heejeong Choi, Subin Kim, Pilsung Kang

Predictive coding is further introduced to encourage the model to learn the temporal dependencies of the time series.

Anomaly Detection Decoder +2