Papers by Hongjian Sun

1 papers
Noisy Multi-Label Text Classification via Instance-Label Pair Correction (2024.findings-naacl)

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Challenge: Noise is a significant challenge for machine learning models, especially deep learning models.
Approach: They propose a holistic selection metric that identifies noisy pairs while considering global loss information and instance-specific ranking information.
Outcome: The proposed approach significantly improves performance in noisy multi-label text classification tasks.

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