Papers by Chang gyun Seo
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels (2022.lrec-1)
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| Challenge: | Recent studies show that deep neural networks can memorize noisy labels with limited training time. |
| Approach: | They propose a virtual adversarial training method to prevent a classifier from overfitting to noisy labels. |
| Outcome: | The proposed method performs the adversarial training in the context rather than the inputs. |