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Deep Active Learning with Budget Annotation. (arXiv:2208.00508v1 [cs.LG])
Aug. 2, 2022, 2:10 a.m. | Kinyua Gikunda
cs.LG updates on arXiv.org arxiv.org
Digital data collected over the decades and data currently being produced
with use of information technology is vastly the unlabeled data or data without
description. The unlabeled data is relatively easy to acquire but expensive to
label even with use of domain experts. Most of the recent works focus on use of
active learning with uncertainty metrics measure to address this problem.
Although most uncertainty selection strategies are very effective, they fail to
take informativeness of the unlabeled instances into …
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