103 citations · 217 across the 23 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020★ 2 cited
Slimmable Generative Adversarial Networks
Liang Hou, Zehuan Yuan, Lei Huang +3
Generative adversarial networks (GANs) have achieved remarkable progress in recent years, but the continuously growing scale of models makes them challenging to deploy widely in pr…
cs.LG2016
Network Morphism
Tao Wei, Changhu Wang, Yong Rui +1
We present in this paper a systematic study on how to morph a well-trained neural network to a new one so that its network function can be completely preserved. We define this as \…