2018
A no-regret generalization of hierarchical softmax to extreme multi-label classification
NeurIPS 2018poster
Extreme multi-label classification (XMLC) is a problem of tagging an instance with a small subset of relevant labels chosen from an extremely large pool of possible labels. Large label spaces can be efficiently handled by organizing labels as a tree, like in the hierarchical softmax (HSM) approach c…