2.2k citations · 3.3k across the 14 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020★ 9 cited
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian, Li Shen, Guinan Su +2
Generative Adversarial Networks (GANs) are formulated as minimax game problems, whereby generators attempt to approach real data distributions by virtue of adversarial learning aga…
cs.LG2020★ 8 cited
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Chaoyang He, Haishan Ye, Li Shen +1
Many recently proposed methods for Neural Architecture Search (NAS) can be formulated as bilevel optimization. For efficient implementation, its solution requires approximations of…