Papers by Chenchen Dai

1 papers
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training (2022.coling-1)

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Challenge: Existing methods to handle label noise in text classification tasks are limited to visual data.
Approach: They propose a method to handle label noise in text classification tasks using a Gaussian Mixture Model.
Outcome: The proposed method outperforms baselines on three types of text classification tasks on visual and textual data.

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