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question about Hessian-vector products #18

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shawnkx opened this issue Feb 13, 2019 · 3 comments
Open

question about Hessian-vector products #18

shawnkx opened this issue Feb 13, 2019 · 3 comments

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@shawnkx
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shawnkx commented Feb 13, 2019

In the original paper, the authors claimed that MAML needs second gradient and Hessian-vector products. Could you explain how do you implement this or Pytorch just do this automatically? Thanks!

@dragen1860
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@shawnkx Does the official MAML git repo. implement hessian vector product ? I forgot already.

@wechto
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wechto commented Mar 18, 2019

The results in the original paper claim K-shot, which comes to a doubt that the K means the number on the stage of meta-training or meta-testing (fine-tuning) with regard to the different shot number in the code.

@seanie12
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seanie12 commented Jun 4, 2019

@dragen1860
In the official MAML you can choose whether to use second order deriative as follows
https://github.com/cbfinn/maml/blob/master/main.py#L60
https://github.com/cbfinn/maml/blob/master/maml.py#L92

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