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

1 code implementation • 11 Nov 2022 • Xuan Rao, Bo Zhao, Xiaosong Yi, 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 latent space.

Neural Architecture Search