Corpus ID: 309759

Prototypical Networks for Few-shot Learning

@inproceedings{Snell2017PrototypicalNF,
  title={Prototypical Networks for Few-shot Learning},
  author={J. Snell and Kevin Swersky and R. Zemel},
  booktitle={NIPS},
  year={2017}
}

• J. Snell, Kevin Swersky, R. Zemel
• Published in NIPS 2017
• Computer Science, Mathematics

A recent approach to few-shot classification called matching networks has demonstrated the benefits of coupling metric learning with a training procedure that mimics test. [...] Key Method Our method is competitive with state-of-the-art one-shot classification approaches while being much simpler and more scalable with the size of the support set. We empirically demonstrate the performance of our approach on the Omniglot and mini-ImageNet datasets. We further demonstrate that a similar idea can be used for zero…Expand

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