349 citations · 419 across the 5 of their papers we have counts for
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cs.LG2021★ 19 cited
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
Görkem Algan, Ilkay Ulusoy
Real-world datasets commonly have noisy labels, which negatively affects the performance of deep neural networks (DNNs). In order to address this problem, we propose a label noise…
cs.LG2019★ 349 cited
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Görkem Algan, Ilkay Ulusoy
Image classification systems recently made a giant leap with the advancement of deep neural networks. However, these systems require an excessive amount of labeled data to be adequ…