Abstract: Batch Normalization (BatchNorm) has become the default component in modern neural networks to stabilize training. In BatchNorm, centering and scaling operations, along with mean and variance ...
Abstract: Large pretrained models, like BERT, GPT, and Wav2Vec, have demonstrated their ability to learn transferable representations for various downstream tasks. However, obtaining a substantial ...