3 citations · 7 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.IR2020★ 3 cited
CAN: Feature Co-Action for Click-Through Rate Prediction
Weijie Bian, Kailun Wu, Lejian Ren +12
Feature interaction has been recognized as an important problem in machine learning, which is also very essential for click-through rate (CTR) prediction tasks. In recent years, De…
cs.LG2020★ 1 cited
Learning Fast Approximations of Sparse Nonlinear Regression
Yuhai Song, Zhong Cao, Kailun Wu +2
The idea of unfolding iterative algorithms as deep neural networks has been widely applied in solving sparse coding problems, providing both solid theoretical analysis in convergen…