What if your CBM actually doesn’t look at attributes when it explains the classification decision? We suggest to use this dataset and method to generate realistic images with unusual attributes to stress-test explainability methods. @jessica-bader.bsky.social is at ICCV to talk to you about it!
Zeynep Akata
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SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
@jessica-bader.bsky.social , @lgirrbach.bsky.social , Stephan Alaniz, @zeynepakata.bsky.social
[Paper]: arxiv.org/pdf/2507.23784
[Code]: github.com/ExplainableM...
📍Hall I #2142
🕑Oct 23, Poster Session 5
