20 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Learning from Reduced Labels for Long-Tailed Data
Meng Wei, Zhongnian Li, Yong Zhou +1
Long-tailed data is prevalent in real-world classification tasks and heavily relies on supervised information, which makes the annotation process exceptionally labor-intensive and…
cs.LG2022★ 20 cited
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Meng Wei, Yong Zhou, Zhongnian Li +1
Complementary-label learning (CLL) is widely used in weakly supervised classification, but it faces a significant challenge in real-world datasets when confronted with class-imbala…
cs.LG2022★ 1 cited
Pairwise Learning for Neural Link Prediction
Zhitao Wang, Yong Zhou, Litao Hong +3
In this paper, we aim at providing an effective Pairwise Learning Neural Link Prediction (PLNLP) framework. The framework treats link prediction as a pairwise learning to rank prob…