Explainability-guided partial privileged learning: a class-aware weighted similarity approach
This work designs a class-aware weighted similarity strategy to accurately impute missing PI and dynamically assign confidence weights to the downstream SVM+ classifier and confirms EPPL as a highly robust solution for leveraging incomplete privileged information in complex environments.