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Found 2 papers, 1 papers with code
Meta-Tasks: An alternative view on Meta-Learning Regularization
The ability to generalize effectively on both novel and training tasks is a significant barrier to FSL.
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning
We use augmented samples as the query set during the training phase of the unsupervised meta-learning.
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