split miniimagenet to train val and test

[vainaixr]

split miniimagenet to train val and test

[lmzintgraf]

Glad to hear you got it to work! Sorry I didn't have time to look into this yet. Did you use the split or did it work without? I like the suggestion of using the split. If you managed to integrate this it would be great if you can open a pull request :)

[vainaixr]

I modified the classification code , I ran it with adabound optimizer, cosine annealing scheduler, and added dropout, should I create a pull request, I have modified certain things, I forked and uploaded it there.

I split dataset into train, val and test, and placed them in miniimagenet/{train}{val}{test} folders.

I added datetime, to save the results in new folder.

also, how to make cavia transductive, or proto cavia, just like we have transductive maml, and proto maml.

[lmzintgraf]

Cool! Did you run the experiment with those changes? I'm very curious what will happen and if you can get an improvement.

A pull request with just the train/va/test set split would be great.

I haven't looked into something like transductive / proto cavia. For Proto-MAML, are you referring to this paper https://arxiv.org/pdf/1903.03096.pdf? I think something similar can be done with CAVIA as well. I'm not familiary with transductive MAML, could you point me to a paper? (Also happy to continue this via email - [email protected])