most citedAMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 2 cited

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Zheng Gao, Lin Guo, Chi Ma +6

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…

stat.ML2018

Visualizing and Understanding Deep Neural Networks in CTR Prediction

Lin Guo, Hui Ye, Wenbo Su +3

Although deep learning techniques have been successfully applied to many tasks, interpreting deep neural network models is still a big challenge to us. Recently, many works have be…