CLIF applies influence functions to pinpoint influential training samples and key concepts in Concept Bottleneck Models, enabling data debugging and behavioral insights on CEBaB and Yelp datasets.
In: Proceedings of the 34th International Conference on Machine Learning
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CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
CLIF applies influence functions to pinpoint influential training samples and key concepts in Concept Bottleneck Models, enabling data debugging and behavioral insights on CEBaB and Yelp datasets.