Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning. - Ming-Kun Xie; Jiahao Xiao; Hao-Zhe Liu; Gang Niu 001; Masashi Sugiyama; Sheng-Jun Huang (NeurIPS, 2023)

Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. - Hao-Zhe Liu; Ming-Kun Xie; Chen-Chen Zong; Sheng-Jun Huang (KDD, 2024)