9 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2023
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
Weakly supervised learning aims to empower machine learning when the perfect supervision is unavailable, which has drawn great attention from researchers. Among various types of we…
cs.LG2023★ 9 cited
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
Zheng Xie, Yu Liu, Hao-Yuan He +2
Since acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to…
cs.AI2022★ 6 cited
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
Haoyuan He, Wangzhou Dai, Ming Li
Integrating logical reasoning and machine learning by approximating logical inference with differentiable operators is a widely used technique in Neuro-Symbolic systems. However, s…