Unsupervised Few-shot Learning via Self-supervised Training

20 Dec 2019Zilong JiXiaolong ZouTiejun HuangSi Wu

Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are mostly supervised and rely heavily on a large amount of labeled examples... (read more)

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