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Copy file name to clipboardexpand all lines: README.md
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This is the official PyTorch implementation of our NAC-UE: https://arxiv.org/abs/2306.02879.
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In this updated version, we re-evaluated NAC-UE on OpenOOD v1.5 without modifying the core method. It still outperforms 21 SoTA OOD detection methods across three benchmarks!
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> Please see the source code for NAC-ME in the folder [domainbed](https://github.com/BierOne/ood_coverage/tree/master/domainbed), which is tailored for generalization tasks.
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