Jinchi Li

LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning

Label distribution learning (LDL) is a novel machine learning paradigm that can handle label ambiguity. This paper focuses on the interpretability issue of label distribution learning. Existing local interpretability models are mainly designed for single-label learning problems and are difficult to…