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AnyBottle: A Recipe to Only Keep the Concepts You Really Need

Wolfgang Stammer et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
Concept bottleneck models (CBMs) make predictions inspectable and intervenable by routing them through human-interpretable concepts, but originally required concept annotations. Annotation-free variants remove this requirement, but typically use large concept vocabularies, static at both training an
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