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Do you guys try to compare the results of distilled data to the ones trained on randomly selected samples of the dataset?
For example, if I randomly select 10 images from the MNIST dataset (1 for each category) and train the network on them, how would the results be? I think it's a fundamental thing to compare with.
Very interesting work by the way!
The text was updated successfully, but these errors were encountered:
Do you guys try to compare the results of distilled data to the ones trained on randomly selected samples of the dataset?
For example, if I randomly select 10 images from the MNIST dataset (1 for each category) and train the network on them, how would the results be? I think it's a fundamental thing to compare with.
Very interesting work by the way!
The text was updated successfully, but these errors were encountered: