activity
20232026
most citedInaccurate Label Distribution Learning with Dependency Noise

1 citations · 2 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.LG2023

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations

Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia +2

This paper introduces RankMatch, an innovative approach for Semi-Supervised Label Distribution Learning (SSLDL). Addressing the challenge of limited labeled data, RankMatch effecti…