weijiaheng

Advances-in-Label-Noise-Learning

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

Robust-f-divergence-measures

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

Drops

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

Credible-sample-elicitation

[AISTATS2021] Official implementation of "Sample Elicitation"

Multi-class-Peer-Loss-functions

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

Model-Elicitation

[DAI 2023] Official Pytorch implementation of "Auditing for federated learning: A model elicitation approach"

deep_feature_reweighting

google-research

Google Research

weijiaheng.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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