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In the case of 5way-5shot classification (2 modes), you report 73% accuracy for Multi-MAML. But actually MAML trained on 5way-5shot yields 99.9% accuracy for Omniglot and 63% for MiniImageNet (see MAML paper or any other paper that reimplemented MAML). So actually Multi-MAML should yield above 80% accuracy. How did you evaluate it to get to 73% ?
Thanks in advance.
The text was updated successfully, but these errors were encountered:
I have a short question regarding the results.
In the case of 5way-5shot classification (2 modes), you report 73% accuracy for Multi-MAML. But actually MAML trained on 5way-5shot yields 99.9% accuracy for Omniglot and 63% for MiniImageNet (see MAML paper or any other paper that reimplemented MAML). So actually Multi-MAML should yield above 80% accuracy. How did you evaluate it to get to 73% ?
Thanks in advance.
The text was updated successfully, but these errors were encountered: