Corpus ID: 57189242

Neural Architecture Search Over a Graph Search Space

@article{Laroussilhe2018NeuralAS,
  title={Neural Architecture Search Over a Graph Search Space},
  author={Quentin de Laroussilhe and Stanislaw Jastrzebski and Neil Houlsby and Andrea Gesmundo},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.10666}
}
  • Quentin de Laroussilhe, Stanislaw Jastrzebski, +1 author Andrea Gesmundo
  • Published in ArXiv 2018
  • Mathematics, Computer Science
  • Neural architecture search (NAS) enabled the discovery of state-of-the-art architectures in many domains. However, the success of NAS depends on the definition of the search space, i.e. the set of the possible to generate neural architectures. State-of-the-art search spaces are defined as a static sequence of decisions and a set of available actions for each decision, where each possible sequence of actions defines an architecture. We propose a more expressive formulation of NAS, using a graph… CONTINUE READING

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