Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Learning complex time series forecasting models usually requires a large
amount of data, as each model is trained from scratch for each task/data set.
Leveraging learning experience with similar datasets is a well-established
technique for classification problems called few-shot classification. Howe…
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