16 citations · 29 across the 3 of their papers we have counts for
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cs.LG2019★ 16 cited
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
Chenjun Xiao, Yifan Wu, Chen Ma +2
Despite its potential to improve sample complexity versus model-free approaches, model-based reinforcement learning can fail catastrophically if the model is inaccurate. An algorit…
cs.IR2019
The Hitchhiker's Guide to LDA
Chen Ma
Latent Dirichlet Allocation (LDA) model is a famous model in the topic model field, it has been studied for years due to its extensive application value in industry and academia. H…
cs.CV2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Chen Ma, Chenxu Zhao, Hailin Shi +3
Deep neural networks (DNNs) are vulnerable to adversarial attack which is maliciously implemented by adding human-imperceptible perturbation to images and thus leads to incorrect p…