2 citations · 2 across the 2 of their papers we have counts for
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cs.CV2018
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang +6
Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists. Based on the fact that fun…
cs.LG2018
Ambient Hidden Space of Generative Adversarial Networks
Xinhan Di, Pengqian Yu, Meng Tian
Generative adversarial models are powerful tools to model structure in complex distributions for a variety of tasks. Current techniques for learning generative models require an ac…
cs.LG2018
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification
Xinhan Di, Pengqian Yu, Meng Tian
It has been demonstrated that deep neural networks are prone to noisy examples particular adversarial samples during inference process. The gap between robust deep learning systems…