4 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 4 cited
Pathological Image Segmentation with Noisy Labels
Li Xiao, Yinhao Li, Luxi Qv +3
Segmentation of pathological images is essential for accurate disease diagnosis. The quality of manual labels plays a critical role in segmentation accuracy; yet, in practice, the…
cs.LG2021★ 2 cited
Noise Optimization for Artificial Neural Networks
Li Xiao, Zeliang Zhang, Yijie Peng
Adding noises to artificial neural network(ANN) has been shown to be able to improve robustness in previous work. In this work, we propose a new technique to compute the pathwise s…
cs.LG2019★ 2 cited
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness
Li Xiao, Yijie Peng, Jeff Hong +2
In this work, we propose a generalized likelihood ratio method capable of training the artificial neural networks with some biological brain-like mechanisms,.e.g., (a) learning by…