Training-Free Neural Active Learning with Initialization-Robustness GuaranteesDownload PDFOpen Website

Published: 2023, Last Modified: 04 Oct 2023ICML 2023Readers: Everyone
Abstract: Existing neural active learning algorithms have aimed to optimize the predictive performance of neural networks (NNs) by selecting data for labelling. However, other than a good predictive performa...
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