Concept Preference Optimization, a DPO-based loss for concept bottleneck models, improves task accuracy and noise robustness over binary cross-entropy.
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Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
Concept Preference Optimization, a DPO-based loss for concept bottleneck models, improves task accuracy and noise robustness over binary cross-entropy.