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I have a question on updating the meta learner: in the original paper, the update for meta learner is interpolation between the previous parameter and the parameters learned by the local learners.
However, it seems that here you are updating the meta learner based on the gradients produced by local learners on the query set. I was wondering is this implementation the same as the original paper's implementation?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, thanks for sharing the code!
I have a question on updating the meta learner: in the original paper, the update for meta learner is interpolation between the previous parameter and the parameters learned by the local learners.
However, it seems that here you are updating the meta learner based on the gradients produced by local learners on the query set. I was wondering is this implementation the same as the original paper's implementation?
Thanks!
The text was updated successfully, but these errors were encountered: