CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Gerald Woo, Chenghao Liu, Doyen Sahoo +2

Deep learning has been actively studied for time series forecasting, and the mainstream paradigm is based on the end-to-end training of neural network architectures, ranging from c…