Papers with stale gradient problem
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation (D18-1)
Copied to clipboard
| Challenge: | In order to achieve faster training we increase the mini-batch size and scale the learning rate accordingly. |
| Approach: | They propose a technique that delays gradient updates by increasing the mini-batch size to improve the model's convergence. |
| Outcome: | The proposed technique can train a shallow machine translation system 27% faster than an optimized baseline with negligible penalty in BLEU. |