How does Early Stopping Help Generalization against Label Noise?

19 Nov 2019Hwanjun SongMinseok KimDongmin ParkJae-Gil Lee

Noisy labels are very common in real-world training data, which lead to poor generalization on test data because of overfitting to the noisy labels. In this paper, we claim that such overfitting can be avoided by "early stopping" training a deep neural network before the noisy labels are severely memorized... (read more)

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