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Publikováno v:
Proceedings: 36th Conference on Neural Information Processing Systems (NeurIPS), Dec 2022
Deep active learning aims to reduce the annotation cost for the training of deep models, which is notoriously data-hungry. Until recently, deep active learning methods were ineffectual in the low-budget regime, where only a small number of examples a
Externí odkaz:
http://arxiv.org/abs/2205.11320