- I am curious how the performance varies quantitatively if the training "shot" is not the same as "test" shot: In realistic applications, knowing the "shot" before-hand is a fairly strong and impractical assumption.
- I find the zero-shot version and the connection to density estimation a bit distracting to the main point of the paper, which is that one can learn to produce good prototypes that are effective for few-shot learning. However, this is more an aesthetic argument than a technical one.
- I find the zero-shot version and the connection to density estimation a bit distracting to the main point of the paper, which is that one can learn to produce good prototypes that are effective for few-shot learning. However, this is more an aesthetic argument than a technical one.