A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li,
Zhen Wang,
Yankai Chen
et al.
Abstract:Active learning seeks to achieve strong performance with fewer training samples. It does this by iteratively asking an oracle to label newly selected samples in a human-in-the-loop manner. This technique has gained increasing popularity due to its broad applicability, yet its survey papers, especially for deep active learning (DAL), remain scarce. Therefore, we conduct an advanced and comprehensive survey on DAL. We first introduce reviewed paper collection and filtering. Second, we formally define the DAL tas… Show more
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