58 citations · 101 across the 18 of their papers we have counts for
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cs.LG2023
Multi-label Learning from Privacy-Label
Zhongnian Li, Haotian Ren, Tongfeng Sun +1
Multi-abel Learning (MLL) often involves the assignment of multiple relevant labels to each instance, which can lead to the leakage of sensitive information (such as smoking, disea…
cs.LG2023
Learning from Stochastic Labels
Meng Wei, Zhongnian Li, Yong Zhou +2
Annotating multi-class instances is a crucial task in the field of machine learning. Unfortunately, identifying the correct class label from a long sequence of candidate labels is…