• Corpus ID: 222066571

Few-shot Learning for Time-series Forecasting

  title={Few-shot Learning for Time-series Forecasting},
  author={Tomoharu Iwata and Atsutoshi Kumagai},
Time-series forecasting is important for many applications. Forecasting models are usually trained using time-series data in a specific target task. However, sufficient data in the target task might be unavailable, which leads to performance degradation. In this paper, we propose a few-shot learning method that forecasts a future value of a time-series in a target task given a few time-series in the target task. Our model is trained using time-series data in multiple training tasks that are… 

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