Corpus ID: 219792625

Neural Architecture Optimization with Graph VAE

@article{Li2020NeuralAO,
  title={Neural Architecture Optimization with Graph VAE},
  author={Jian Li and Y. Liu and J. Liu and Weiping Wang},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.10310}
}

Jian Li, Y. Liu, +1 author Weiping Wang

Published 2020

Computer Science, Mathematics

ArXiv

Due to their high computational efficiency on a continuous space, gradient optimization methods have shown great potential in the neural architecture search (NAS) domain. The mapping of network representation from the discrete space to a latent space is the key to discovering novel architectures, however, existing gradient-based methods fail to fully characterize the networks. In this paper, we propose an efficient NAS approach to optimize network architectures in a continuous space, where the… CONTINUE READING

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