most citedTraining Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…