Our paper "Single-positive Multi-label Learning with Label Cardinality", written in collaboration with Shayan Gharib and Prof. Arto Klami (University of Helsinki) got accepted for publication at TMLR.
The paper investigates how to learn a multi-label classifier from partially labeled data, exploiting some auxiliary information on the label cardinality. The source code can be found on the project's repository.
