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cs.LG2021
Learning with Proper Partial Labels
Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama
Partial-label learning is a kind of weakly-supervised learning with inexact labels, where for each training example, we are given a set of candidate labels instead of only one true…
cs.LG2021★ 1 cited
On the Robustness of Average Losses for Partial-Label Learning
Jiaqi Lv, Biao Liu, Lei Feng +6
Partial-label learning (PLL) utilizes instances with PLs, where a PL includes several candidate labels but only one is the true label (TL). In PLL, identification-based strategy (I…