In classification problems with large output spaces (up to millions of
l...
Extreme Multi-label Text Classification (XMC) involves learning a classi...
The propensity model introduced by Jain et al. 2016 has become a standar...
Extreme Multilabel Text Classification (XMTC) is a text classification
p...
Extreme multi-label classification (XMLC) refers to the task of tagging
...
In this paper we show that a simple, data dependent way of setting the
i...
This paper considers binary and multilabel classification problems in a
...
Automatic annotation of short-text data to a large number of target labe...
The goal in extreme multi-label classification (XMC) is to tag an instan...
Extreme multi-label classification refers to supervised multi-label lear...
The goal in extreme multi-label classification is to learn a classifier ...
Extreme multi-label classification refers to supervised multi-label lear...