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This repository is the official implementation of "Removing Undesirable Feature Contributions using Out-of-Distribution Data", published as a conference paper at ICLR 2021.

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Removing Undesirable Feature Contributions using Out-of-Distribution Data

This repository is the official implementation of "Removing Undesirable Feature Contributions using Out-of-Distribution Data", published as a conference paper at ICLR 2021.

You can download the OOD dataset and pre-trained models on CIFAR-10 here:

You can also create your own OOD datasets using the work of Carmon et al.

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This repository is the official implementation of "Removing Undesirable Feature Contributions using Out-of-Distribution Data", published as a conference paper at ICLR 2021.

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