The following publications are possibly variants of this publication:
- Learning with privileged information for multi-Label classificationShangfei Wang, Shiyu Chen, Tanfang Chen, Xiaoxiao Shi. PR, 81:60-70, 2018. [doi]
- Retaining Privileged Information for Multi-Task LearningFengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman. kdd 2019: 1369-1377 [doi]
- LR-SVM+: Learning Using Privileged Information with Noisy LabelsZhengning Wu, Xiaobo Xia, Ruxin Wang, Jiatong Li, Jun Yu 0001, Yinian Mao, Tongliang Liu. tmm, 24:1080-1092, 2022. [doi]
- Multi-view learning with privileged weighted twin support vector machineRuxin Xu, Huiru Wang. eswa, 206:117787, 2022. [doi]
- pMPL: A Robust Multi-Party Learning Framework with a Privileged PartyLushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han. ccs 2022: 2689-2703 [doi]
- Privileged multi-task learning for attribute-aware aesthetic assessmentYangyang Shu, Qian Li 0003, Lingqiao Liu, Guandong Xu. PR, 132:108921, 2022. [doi]