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Found 2 papers, 1 papers with code
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
Reaching the performance of fully supervised learning with unlabeled data and only labeling one sample per class might be ideal for deep learning applications.
Empirical Perspectives on One-Shot Semi-supervised Learning
One of the greatest obstacles in the adoption of deep neural networks for new applications is that training the network typically requires a large number of manually labeled training samples.
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