14 citations · 17 across the 5 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021
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…
stat.ML2021★ 14 cited
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…