CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

Neural Information Processing Systems 

The objective of dataset condensation is to ensure that the model trained with the synthetic dataset can perform comparably to the model trained with full datasets. However, existing methods predominantly concentrate on classification tasks, posing challenges in their adaptation to time series forecasting (TS-forecasting).

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