34 citations · 42 across the 3 of their papers we have counts for
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cs.LG2020★ 34 cited
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo, Hao Zhou, Weiwei Tu +3
Tabular data is the most common data format adopted by our customers ranging from retail, finance to E-commerce, and tabular data classification plays an essential role to their bu…
cs.LG2019★ 8 cited
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications
Yuanfei Luo, Mengshuo Wang, Hao Zhou +5
Feature crossing captures interactions among categorical features and is useful to enhance learning from tabular data in real-world businesses. In this paper, we present AutoCross,…