Decoy-MNIST

The dataset used in the paper is a synthetic dataset similar to decoy-MNIST of Ross et al. (2017) with induced shortcuts and is presented in Section 5.2. For evaluation on practical tasks, the authors evaluated on a plant phenotyping (Shao et al., 2021) task in Section 5.3, skin cancer detection (Rieger et al., 2020) task presented in Section 5.4, and object classification task presented in Section 5.5. All the datasets contain a known spurious feature, and were used in the past for evaluation of MLX methods.

Data and Resources

Cite this as

Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller (2024). Dataset: Decoy-MNIST. https://doi.org/10.57702/liahaagd

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2303.06419
Author Juyeon Heo
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Vihari Piratla
Matthew Wicker
Adrian Weller
Homepage https://github.com/vihari/robust_mlx