Active Preference Learning for Ordering Items In- and Out-of-sample

no code implementations • 5 May 2024 • Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson

Learning an ordering of items based on noisy pairwise comparisons is useful when item-specific labels are difficult to assign, for example, when annotators have to make subjective assessments.

Active Learning