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Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
However, the effect of label noise on the test loss curve has not been fully explored.
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise
Self-supervised Contrastive Learning (CL) has been recently shown to be very effective in preventing deep networks from overfitting noisy labels.
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