44 citations · 104 across the 11 of their papers we have counts for
Showing 2016 · cs.LGShow all
2 papers · 2 filters
cs.LG2016★ 30 cited
Generative Adversarial Parallelization
Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim +1
Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation. They have also been shown to be capable…
cs.LG2016★ 5 cited
Theano-MPI: a Theano-based Distributed Training Framework
He Ma, Fei Mao, Graham W. Taylor
We develop a scalable and extendable training framework that can utilize GPUs across nodes in a cluster and accelerate the training of deep learning models based on data parallelis…