157 citations · 471 across the 17 of their papers we have counts for
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cs.LG2016
Optimizing Performance of Recurrent Neural Networks on GPUs
Jeremy Appleyard, Tomas Kocisky, Phil Blunsom
As recurrent neural networks become larger and deeper, training times for single networks are rising into weeks or even months. As such there is a significant incentive to improve…
cs.CL2016
Latent Predictor Networks for Code Generation
Wang Ling, Edward Grefenstette, Karl Moritz Hermann +4
Many language generation tasks require the production of text conditioned on both structured and unstructured inputs. We present a novel neural network architecture which generates…