Active Learning of Pattern Classification Based on PEDCC-Loss
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DOI: 10.1109/access.2021.3123095
Abstract: Deep learning classifiers require a large number of labeled samples to train the model. Active learning reduces the dependence of classification model on labeled samples by gradually selecting high-quality samples for iterative training. In this… read more here.
Keywords: active learning; classification; pattern classification; pedcc loss ... See more keywords