2020
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
ICLR 2020poster
Training large deep neural networks on massive datasets is computationally very challenging. There has been recent surge in interest in using large batch stochastic optimization methods to tackle this issue. The most prominent algorithm in this line of research is LARS, which by employing layerwis…