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The authors propose to perform a form of meta-learning by having the LSTM over outputs be conditioned on pooled representation of a support set of examples (which we can think of as a prototype, similar to Prototypical Networks).
We should try out something like this for having the LSTM over the query songs be adapted based on the support set.
The text was updated successfully, but these errors were encountered:
In this paper:
https://arxiv.org/abs/1710.04157
The authors propose to perform a form of meta-learning by having the LSTM over outputs be conditioned on pooled representation of a support set of examples (which we can think of as a prototype, similar to Prototypical Networks).
We should try out something like this for having the LSTM over the query songs be adapted based on the support set.
The text was updated successfully, but these errors were encountered: