3 papers
cs.CV2020
Meta Soft Label Generation for Noisy Labels
Görkem Algan, Ilkay Ulusoy
The existence of noisy labels in the dataset causes significant performance degradation for deep neural networks (DNNs). To address this problem, we propose a Meta Soft Label Gener…
cs.CV2020
Label Noise Types and Their Effects on Deep Learning
Görkem Algan, İlkay Ulusoy
The recent success of deep learning is mostly due to the availability of big datasets with clean annotations. However, gathering a cleanly annotated dataset is not always feasible…
cs.LG2019
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…