CLIF applies influence functions to pinpoint influential samples and concepts in CBMs on CEBaB and Yelp datasets, enabling performance restoration via adjustments without retraining.
In: The Eleventh International Conference on Learning Representations (2022)
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CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
CLIF applies influence functions to pinpoint influential samples and concepts in CBMs on CEBaB and Yelp datasets, enabling performance restoration via adjustments without retraining.