most citedMulti-Level Generative Models for Partial Label Learning with Non-random Label Noise

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 2 cited

Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise

Yan Yan, Yuhong Guo

Partial label (PL) learning tackles the problem where each training instance is associated with a set of candidate labels that include both the true label and irrelevant noise labe…

cs.LG2019

Adversarial Partial Multi-Label Learning

Yan Yan, Yuhong Guo

Partial multi-label learning (PML), which tackles the problem of learning multi-label prediction models from instances with overcomplete noisy annotations, has recently started gai…