목록semi-supervised learning (1)

iMTE

Meat-Learning 8. Meta-learning for semi-supervised few-shot classification

Meta-learning for semi-supervised few-shot classification (ICLR, 2018) Abstract"In this work, we advance this few-shot classification paradigm towards a scenario where unlabeled examples are also available within each episode....To address this paradigm, we propose novel extensions of Prototypical Networks that are augmented with the ability to use unlabeled examples when producing prototypes."U..
Deep learning study/Meta-Learning 2019. 5. 25. 16:13
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