Learning feed-forward one-shot learners
One-shot learning is usually tackled by using generative models or discriminative embeddings. Discriminative methods based on deep learning, which are very effective in other learning scenarios, are ill-suited for one-shot learning as they need large amounts of training data. In this paper, we propo...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference item |
| Published: |
Massachusetts Institute of Technology Press
2016
|