571 citations · 1.2k across the 13 of their papers we have counts for
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cs.LG2021★ 6 cited
A Loss Curvature Perspective on Training Instability in Deep Learning
Justin Gilmer, Behrooz Ghorbani, Ankush Garg +6
In this work, we study the evolution of the loss Hessian across many classification tasks in order to understand the effect the curvature of the loss has on the training dynamics.…
cs.LG2021
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes
Zachary Nado, Justin M. Gilmer, Christopher J. Shallue +2
Recently the LARS and LAMB optimizers have been proposed for training neural networks faster using large batch sizes. LARS and LAMB add layer-wise normalization to the update rules…