2 citations · 4 across the 7 of their papers we have counts for
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cs.LG2019
Evaluating and Boosting Uncertainty Quantification in Classification
Xiaoyang Huang, Jiancheng Yang, Linguo Li +3
Emergence of artificial intelligence techniques in biomedical applications urges the researchers to pay more attention on the uncertainty quantification (UQ) in machine-assisted me…
cs.CV2019★ 2 cited
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Zhenyu Duan, Martin Renqiang Min, Li Erran Li +3
In spite of achieving revolutionary successes in machine learning, deep convolutional neural networks have been recently found to be vulnerable to adversarial attacks and difficult…