• Corpus ID: 250311964

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks

@inproceedings{Tu2021NASBench360BN,
  title={NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks},
  author={Renbo Tu and Nicholas Roberts and Mikhail Khodak and Jun Shen and Frederic Sala and Ameet S. Talwalkar},
  year={2021}
}
Most existing neural architecture search (NAS) benchmarks and algorithms prioritize well-studied tasks, e.g. image classification on CIFAR or ImageNet. This makes the performance of NAS approaches in more diverse areas poorly understood. In this paper, we present NAS-Bench-360, a benchmark suite to evaluate methods on domains beyond those traditionally studied in architecture search, and use it to address the following question: do state-of-the-art NAS methods perform well on diverse tasks? To… 

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