14 citations · 17 across the 5 of their papers we have counts for
3 papers · 1 filter
Classification Under Ambiguity: When Is Average-K Better Than Top-K?
Titouan Lorieul, Alexis Joly, Dennis Shasha
When many labels are possible, choosing a single one can lead to low precision. A common alternative, referred to as top- classification, is to choose some number (commonly…
Multi-Label Learning from Single Positive Labels
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul +3
Predicting all applicable labels for a given image is known as multi-label classification. Compared to the standard multi-class case (where each image has only one label), it is co…
Set-valued classification -- overview via a unified framework
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +1
Multi-class classification problem is among the most popular and well-studied statistical frameworks. Modern multi-class datasets can be extremely ambiguous and single-output predi…