DivDis

Code for the paper "Diversify and Disambiguate: Learning From Underspecified Data" (arXiv, project page).

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The main repulsion loss for DivDis is implemented in divdis.py in the root directory, and shared by all experiments.

Citation

If you find this code useful, please cite our paper:

@inproceedings{lee2022divdis,
  title     = {Diversify and Disambiguate: Learning From Underspecified Data},
  author    = {Lee, Yoonho and Yao, Huaxiu and Finn, Chelsea},
  year      = {2022}
}

Code references

• MNIST-CIFAR repo (base code for MNIST-CIFAR experiment)
• GroupDRO repo (base code for subpopulation shifts)