Contextualizing Enhances Gradient Based Meta Learning

17 Jul 2020Evan VogelbaumRumen DangovskiLi JingMarin Soljačić

Meta learning methods have found success when applied to few shot classification problems, in which they quickly adapt to a small number of labeled examples. Prototypical representations, each representing a particular class, have been of particular importance in this setting, as they provide a compact form to convey information learned from the labeled examples... (read more)

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