34 citations · 54 across the 4 of their papers we have counts for
5 papers
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…
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,…
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Wenyuan Dai +1
Scoring functions (SFs), which measure the plausibility of triplets in knowledge graph (KG), have become the crux of KG embedding. Lots of SFs, which target at capturing different…
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…
Differential Private Stack Generalization with an Application to Diabetes Prediction
Quanming Yao, Xiawei Guo, James T. Kwok +4
To meet the standard of differential privacy, noise is usually added into the original data, which inevitably deteriorates the predicting performance of subsequent learning algorit…