7 citations · 13 across the 5 of their papers we have counts for
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cs.LG2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
Kun-Peng Ning, Lue Tao, Songcan Chen +1
In addition to high accuracy, robustness is becoming increasingly important for machine learning models in various applications. Recently, much research has been devoted to improvi…
cs.LG2021★ 2 cited
Co-Imitation Learning without Expert Demonstration
Kun-Peng Ning, Hu Xu, Kun Zhu +1
Imitation learning is a primary approach to improve the efficiency of reinforcement learning by exploiting the expert demonstrations. However, in many real scenarios, obtaining exp…