2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Reduction from Complementary-Label Learning to Probability Estimates
Wei-I Lin, Hsuan-Tien Lin
Complementary-Label Learning (CLL) is a weakly-supervised learning problem that aims to learn a multi-class classifier from only complementary labels, which indicate a class to whi…
cs.LG2022★ 2 cited
Preserving Domain Private Representation via Mutual Information Maximization
Jiahong Chen, Jing Wang, Weipeng Lin +2
Recent advances in unsupervised domain adaptation have shown that mitigating the domain divergence by extracting the domain-invariant representation could significantly improve the…