Extreme Multi-label Loss Functions for Reommencdation, Tagging, Ranking & Other Missing Label Applications
Published on Sep 25, 20161500 Views
The choice of the loss function is critical in extreme multi- label learning where the objective is to annotate each data point with the most relevant subset of labels from an ex- tremely large label