4 citations · 8 across the 6 of their papers we have counts for
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cs.LG2020★ 3 cited
Pointwise Binary Classification with Pairwise Confidence Comparisons
Lei Feng, Senlin Shu, Nan Lu +5
To alleviate the data requirement for training effective binary classifiers in binary classification, many weakly supervised learning settings have been proposed. Among them, some…
cs.LG2020★ 4 cited
Incorporating Multiple Cluster Centers for Multi-Label Learning
Senlin Shu, Fengmao Lv, Yan Yan +3
Multi-label learning deals with the problem that each instance is associated with multiple labels simultaneously. Most of the existing approaches aim to improve the performance of…