2 papers
cs.LG2026
Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting
Zhenan Yu, Guangxin Jiang, Jin Yang
Recent studies on long-term time series forecasting have shown that simple linear models and MLP-based predictors can achieve strong performance without increasingly complex archit…
cs.LG2023
PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning
Hao Liu, Jinrui Gan, Xiaoxuan Fan +8
Self-supervised learning has been actively studied in time series domain recently, especially for masked reconstruction. Most of these methods follow the "Pre-training + Fine-tunin…