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Found 3 papers, 2 papers with code
Analyzing and Explaining Image Classifiers via Diffusion Guidance
While deep learning has led to huge progress in complex image classification tasks like ImageNet, unexpected failure modes, e. g. via spurious features, call into question how reliably these classifiers work in the wild.
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
In contrast, we work with ImageNet and validate our results by showing that presence of the harmful spurious feature of a class alone is sufficient to trigger the prediction of that class.
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
In contrast, we work with ImageNet and validate our results by showing that presence of the harmful spurious feature of a class alone is sufficient to trigger the prediction of that class.
