The content discusses a novel two-stage solution for addressing noisy labels and long-tailed distributions in machine learning. The first stage involves contrastive learning and a noise-tolerant loss function, while the second stage focuses on multi-expert ensemble learning. Extensive experiments validate the effectiveness of the proposed approach across various datasets.
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by Ying-Hsuan W... at arxiv.org 03-06-2024
https://arxiv.org/pdf/2403.02363.pdfDeeper Inquiries