Papers by Hoin Jung
Fairness-Aware Online Positive-Unlabeled Learning (2024.emnlp-industry)
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| Challenge: | Positive-unlabeled (PU) learning is a new approach to improve text classification by analyzing the impact of the online setting on fairness. |
| Approach: | They propose to extend Positive-Unlabeled (PU) learning to online learning by analyzing the impact of the online setting on fairness. |
| Outcome: | The proposed approach improves fairness in PU learning in both offline and online settings by using only labeled positive and unlabeled samples. |