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cs.LG2020
An Investigation of how Label Smoothing Affects Generalization
Blair Chen, Liu Ziyin, Zihao Wang +1
It has been hypothesized that label smoothing can reduce overfitting and improve generalization, and current empirical evidence seems to corroborate these effects. However, there i…
cs.LG2020★ 18 cited
Learning Not to Learn in the Presence of Noisy Labels
Liu Ziyin, Blair Chen, Ru Wang +4
Learning in the presence of label noise is a challenging yet important task: it is crucial to design models that are robust in the presence of mislabeled datasets. In this paper, w…