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Models/SharpSepConvDARTS

SharpSepConvDARTS

Reported on 8 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.

Methodology8 results

  • Neural Architecture SearchonCIFAR-10 Image Classification
    Percentage error· 2019-03-23
    1.98
    best: 1.6 (NAT-M4)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • Neural Architecture SearchonCIFAR-10
    Search Time (GPU days)· 2019-03-23
    0.8
    best: 224 (AlphaX-1 (cutout NASNet))
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • Neural Architecture SearchonImageNet
    Accuracy· 2019-03-23
    74.1
    best: 83.9 (DeepMAD-50M)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • Neural Architecture SearchonImageNet
    Top-1 Error Rate· 2019-03-23
    25.1
    best: 16.1 (DeepMAD-50M)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • AutoMLonCIFAR-10 Image Classification
    Percentage error· 2019-03-23
    1.98
    best: 1.6 (NAT-M4)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • AutoMLonCIFAR-10
    Search Time (GPU days)· 2019-03-23
    0.8
    best: 224 (AlphaX-1 (cutout NASNet))
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • AutoMLonImageNet
    Accuracy· 2019-03-23
    74.1
    best: 83.9 (DeepMAD-50M)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900
  • AutoMLonImageNet
    Top-1 Error Rate· 2019-03-23
    25.1
    best: 16.1 (DeepMAD-50M)
    sharpDARTS: Faster and More Accurate Differentiable Architecture SearcharXiv:1903.09900