2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Contrastive Label Enhancement
Yifei Wang, Yiyang Zhou, Jihua Zhu +3
Label distribution learning (LDL) is a new machine learning paradigm for solving label ambiguity. Since it is difficult to directly obtain label distributions, many studies are foc…
cs.LG2023★ 2 cited
Multi-view Semantic Consistency based Information Bottleneck for Clustering
Wenbiao Yan, Jihua Zhu, Yiyang Zhou +2
Multi-view clustering can make use of multi-source information for unsupervised clustering. Most existing methods focus on learning a fused representation matrix, while ignoring th…
cs.LG2023★ 2 cited
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
Yiyang Zhou, Qinghai Zheng, Wenbiao Yan +3
Multi-view clustering can explore consistent information from different views to guide clustering. Most existing works focus on pursuing shallow consistency in the feature space an…