Online Batch Selection for Enhanced Generalization in Imbalanced Datasets
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DOI: 10.3390/a16020065
Abstract: Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model. We study, here, the performance of a… read more here.
Keywords: batch selection; imbalanced datasets; convergence; generalization ... See more keywords