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Reformer should be included in PyPOTS, and could start from the imputation task.
@inproceedings{kitaev2020reformer,
title={Reformer: The Efficient Transformer},
author={Nikita Kitaev and Lukasz Kaiser and Anselm Levskaya},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=rkgNKkHtvB}
}
2. Check open-source status
The model implementation is publicly available
3. Provide useful information for the implementation
1. Model description
Reformer should be included in PyPOTS, and could start from the imputation task.
2. Check open-source status
3. Provide useful information for the implementation
https://github.com/google/trax/tree/master/trax/models/reformer and https://github.com/lucidrains/reformer-pytorch
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