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CelebA
anchor
Findings
IC-1520
OpenCLIP's per-sample zero-shot accuracy on ImageNet-based OOD benchmarks is strongly correlated with the perceptual similarity between that sample and its nearest neighbor in LAION-400M
[eval]
IC-644
CLIP relies on spurious features (background) as a shortcut in zero-shot classification, and conditioning on the correct background reduces this reliance
[eval]
IC-685
CLIP ViT-B/32 with a linear probe relies on gender as a spurious correlation for hair color, achieving only 15.85% accuracy on female gray hair
[eval]
IC-834
CLIP zero-shot predictions exhibit high equal opportunity difference when target and sensitive attributes are intrinsically dependent
[eval]
IC-835
CLIP zero-shot predictions exhibit large worst-group accuracy gaps due to spurious correlations on Waterbirds and CelebA
[eval]
IC-984
CLIP ViT-B/16's representation space does not reliably preserve semantic similarity as measured by shared image tags
[eval]