metric-based meta-learning method
C64603
concept
A metric-based meta-learning method is an approach that learns a similarity measure or embedding space so that new tasks can be solved by comparing query examples to a small set of labeled support examples using distance-based inference.
Instances (3)
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matching networks
surface form: Matching Networks
- Prototypical Networks
- Relation Networks for few-shot learning