Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels
Mohammadreza Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar · 2021
Extreme Classification (XC) refers to supervised learning where each training/test instance is labeled with small subset of relevant labels that are chosen from a large set of possible target labels. The framework of XC has been widely employed in web applications such as automatic labeling of web-encyclopedia, prediction of related searches, and recommendation systems.