Urs Spiegelhalter

Learning in Compact Spaces with Approximately Normalized Transformer

The successful training of deep neural networks requires addressing challenges such as overfitting, numerical instabilities leading to divergence, and increasing variance in the residual stream. A common solution is to apply regularization and normalization techniques that usually require tuning add…