Christopher Reining

pRSL: Interpretable multi-label stacking by learning probabilistic rules

A key task in multi-label classification is modeling the structure between the involved classes. Modeling this structure by probabilistic and interpretable means enables application in a broad variety of tasks such as zero-shot learning or learning from incomplete data. In this paper, we present the…