Paper-Conference

Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting

StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting