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I was going through this paper and I understood the concept of the Meta-learning framework and using a few-shot technique. But when I tried to interpret the results in "Table 1: Results on the Omniglot dataset", I couldn't understand the column "Fine Tune".

  1. Is this "Fine Tune" the same as hyperparameter tuning?
  2. If so, shouldn't the accuracy be higher when fine-tune is yes as compared to when not fine-tuned?

or am I misinterpreting something?

Pathi_rao
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  • Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking. – Community Feb 09 '22 at 18:54

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