Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels - researchr publication authors

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Zhaowei Zhu, Yiwen Song, Yang Liu. Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 12912-12923, PMLR, 2021. [doi]

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