40 citations · 110 across the 18 of their papers we have counts for
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cs.LG2019★ 8 cited
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Junliang Guo, Xu Tan, Linli Xu +3
Non-autoregressive translation (NAT) models remove the dependence on previous target tokens and generate all target tokens in parallel, resulting in significant inference speedup b…
cs.LG2019★ 4 cited
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu +2
With the increase in the amount of data and the expansion of model scale, distributed parallel training becomes an important and successful technique to address the optimization ch…