timchen0618 / pytorch-leo Goto Github PK
View Code? Open in Web Editor NEWPytorch Implemtation of Meta-Learning with Latent Embedding Optimization
License: MIT License
Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
License: MIT License
How to train Leo on other datasets ? Thanks
Thank you for this great work! I tried running this code with Deepmind's LEO hyperparameters (https://github.com/deepmind/leo) for the miniImageNet 1-shot task, which resulted in a surpisingly low score (Meta Test Accuracy: 0.4390). Do you have any hypotheses as to why this is happening?
Furthermore, I also ran the code for the miniImageNet 1-shot task using your hyperparameters, and got a Meta Test Accuracy of .5825, which is around 1% slightly lower than what your posted. Taking a closer look at the model during test time, I noticed that all the generated latents with these hyperparameters are mapped to 0 after the relation net. Any hypotheses here?
Thanks for your help!
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