most citedCR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 3 cited

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks

Xuan Rao, Bo Zhao, Derong Liu

In neural architecture search (NAS) methods based on latent space optimization (LSO), a deep generative model is trained to embed discrete neural architectures into a continuous la…