Minusformer: A Progressive Approach to Enhance Time Series Forecasting by Learning Residuals

The core message of this article is that the proposed Minusformer architecture can effectively mitigate the overfitting problem in time series forecasting by progressively learning the residuals of the supervision signal through a subtraction-based information aggregation mechanism.