435 citations · 607 across the 16 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 4 cited
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei, Feng Shi, Hai Wang +1
Learning from positive and unlabeled data (PU learning) is prevalent in practical applications where only a couple of examples are positively labeled. Previous PU learning studies…
cs.LG2020★ 2 cited
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement
Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu +3
Weakly supervised learning aims at coping with scarce labeled data. Previous weakly supervised studies typically assume that there is only one kind of weak supervision in data. In…