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Discrepancy on query size #58

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jin-zhe opened this issue Sep 24, 2020 · 1 comment
Open

Discrepancy on query size #58

jin-zhe opened this issue Sep 24, 2020 · 1 comment

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@jin-zhe
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jin-zhe commented Sep 24, 2020

Hi Harvey,

In your paper it was stated that

"For each class, we pick k labeled instances as our support set and 16 instances for the query set for a k-shot task"

However in your feature_evaluation function in test.py code, the default number of query instances per class was 15: n_query = 15.

Since the setting used by Ravi et al. was also 15 samples per class for D_test, was it a minor typological error in your paper?

@tailororrr
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I also have this doubt, and I don't understand why there are query sets in the fine-tuning methods(baseline and baseline++)?

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