Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Self-supervised learning (SSL) has recently achieved impressive performance on various time series tasks. The most prominent advantage of SSL is that it reduces the dependence on labeled data. Based on the pre-training and fine-tuning strategy, even a small amount of labeled data can achieve high performance. Compared with many published …