Multi-label Learning with Random Circular Vectors

Ken Nishida, Kojiro Machi, Kazuma Onishi +2

The extreme multi-label classification~(XMC) task involves learning a classifier that can predict from a large label set the most relevant subset of labels for a data instance. Whi…