2021
Fractional moment-preserving initialization schemes for training deep neural networks
AISTATS 2021poster
A traditional approach to initialization in deep neural networks (DNNs) is to sample the network weights randomly for preserving the variance of pre-activations. On the other hand, several studies show that during the training process, the distribution of stochastic gradients can be heavy-tailed esp…