34 citations · 46 across the 3 of their papers we have counts for
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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,…
cs.LG2019
AutoML @ NeurIPS 2018 challenge: Design and Results
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon +5
We organized a competition on Autonomous Lifelong Machine Learning with Drift that was part of the competition program of NeurIPS 2018. This data driven competition asked participa…