Jiaheng Wei

A curated (most recent) list of resources for Learning with Noisy Labels

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[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"

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[AISTATS2021] Official implementation of "Sample Elicitation"

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Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).

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[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"

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