2021
Factorized CRF with Batch Normalization Based on the Entire Training Data
ICASSP 2021accepted
Batch normalization (BN) is a key component of most neural network architectures. A major weakness of Batch Normalization is its critical dependence on having a reasonably large batch size, due to the inherent approximation of estimating the mean and variance with a single batch of data. Another wea…