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Models/RF-DARTS

RF-DARTS

Reported on 12 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

  • Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
    Accuracy (Test)· 2022-08-18
    46.1
    best: 46.98 (CR-LSO)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
    Accuracy (Val)· 2022-08-18
    46.4
    best: 46.73 (AG-Net)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2022-08-18
    94.27
    best: 94.37 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2022-08-18
    91.3
    best: 91.61 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2022-08-18
    72.94
    best: 73.51 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2022-08-18
    72.95
    best: 73.49 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Accuracy (Test)· 2022-08-18
    46.1
    best: 46.98 (CR-LSO)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Accuracy (Val)· 2022-08-18
    46.4
    best: 46.73 (AG-Net)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2022-08-18
    94.27
    best: 94.37 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2022-08-18
    91.3
    best: 91.61 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2022-08-18
    72.94
    best: 73.51 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2022-08-18
    72.95
    best: 73.49 (DiNAS)
    Differentiable Architecture Search with Random FeaturesarXiv:2208.08835