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Found 2 papers, 1 papers with code
Episode Adaptive Embedding Networks for Few-shot Learning
Few-shot learning aims to learn a classifier using a few labelled instances for each class.
Learning to Sample: an Active Learning Framework
However, current learning-based active learning approaches still require sufficient training data so as to generalize meta-learning models for active learning.
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