GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking

1 code implementation • 7 Mar 2023 • V. Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal

We show that our method is able to accurately learn a representation of the incorporated positive rank order, which is not only consistent with the ground truth but also proportional to the underlying information.

RLSEP: Learning Label Ranks for Multi-label Classification

1 code implementation • 8 Dec 2022 • Emine Dari, V. Bugra Yesilkaynak, Alican Mertan, Gozde Unal

Multi-label ranking maps instances to a ranked set of predicted labels from multiple possible classes.

Classification Multi-Label Classification +1