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Recently deep neural networks have shown their capacity to memorize training data, even with noisy labels, which hurts generalization performance.
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A. K. Menon, B. Van Rooyen, and N. Natarajan · 2016
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A closer look at memorization in deep networks
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Robust loss functions under label noise for deep neural networks
A. Ghosh, H. Kumar, and P. Sastry · 2017
Inception-v4, inception-resnet and the impact of residual connections on learning
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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J. Goldberger and E. Ben-Reuven · 2017
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M. E. Houle · 2017
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N. Jean, S. M. Xie, and S. Ermon · 2018
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X. Ma, Y. Wang, M. E. Houle, S. Zhou, S. M. Erfani, S.-T. Xia, S. Wijewickrema, and J. Bailey · 2018
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Z. Zhang and M. Sabuncu · 2018
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