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Jonathan Hseu

1 accepted papers

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…

Cited by 1205SourcecodeScholar