Low-Budget Active Learning via Wasserstein Distance: An Integer Programming ApproachDownload PDFOpen Website

2022 (modified: 09 Feb 2023)ICLR 2022Readers: Everyone
Abstract: Active learning is the process of training a model with limited labeled data by selecting a core subset of an unlabeled data pool to label. The large scale of data sets used in deep learning forces...
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