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Prototypical networks in Flair #2627
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Thanks to the work of @plonerma, this PR adds a prototype decoder to Flair.
Prototype networks learn prototypes for each target class. For each data point to be classified, the network predicts a vector in class-prototype-space, which is then compared to all class prototypes.The prediction is then the closest class prototype. See paper Prototypical Networks for Few-shot Learning for more info.
@plonerma implemented a custom decoder that can be added to any Flair model that inherits from
DefaultClassifier
(i.e. early all Flair models). For instance, use this script:However, this is still in beta and will likely still change a lot until the next Flair release.