A Survey of Learning on Small Data. (arXiv:2207.14443v1 [cs.LG])

Learning on big data brings success for artificial intelligence (AI), but the
annotation and training costs are expensive. In future, learning on small data
is one of the ultimate purposes of AI, which requires machines to recognize
objectives and scenarios relying on small data as humans. A series of machine
learning models is going on this way such as active learning, few-shot
learning, deep clustering. However, there are few theoretical guarantees for
their generalization performance. Moreover, most of their settings …

arxiv data learning lg small small data survey