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[D] Transfer Learning / Domain Adaptation for Time-Series Forecasting

Is there any good papers / surveys on transfer learning / domain adaptation for time series forecasting?

I am mostly working with LSTM recurrent neural networks, but any other ML-based approach should be an interesting read.

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