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cs.LG2021
Model Complexity of Deep Learning: A Survey
Xia Hu, Lingyang Chu, Jian Pei +2
Model complexity is a fundamental problem in deep learning. In this paper we conduct a systematic overview of the latest studies on model complexity in deep learning. Model complex…
cs.LG2020
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test
Zicun Cong, Lingyang Chu, Yu Yang +1
The Kolmogorov-Smirnov (KS) test is popularly used in many applications, such as anomaly detection, astronomy, database security and AI systems. One challenge remained untouched is…
cs.LG2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
Zicun Cong, Lingyang Chu, Lanjun Wang +2
More and more AI services are provided through APIs on cloud where predictive models are hidden behind APIs. To build trust with users and reduce potential application risk, it is…