DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning. (arXiv:2204.08499v3 [cs.LG] UPDATED)

Coreset selection, which aims to select a subset of the most informative
training samples, is a long-standing learning problem that can benefit many
downstream tasks such as data-efficient learning, continual learning, neural
architecture search, active learning, etc. However, many existing coreset
selection methods are not designed for deep learning, which may have high
complexity and poor generalization performance. In addition, the recently
proposed methods are evaluated on models, datasets, and settings of different
complexities. To advance the research of coreset …

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