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Models/BaLeNAS-TF

BaLeNAS-TF

Reported on 12 benchmarks across 2 tasks · 1 paper · 2 SOTA

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)· 2021-11-25
    46.54
    best: 46.98 (CR-LSO)
    SOTA
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Accuracy (Test)· 2021-11-25
    46.54
    best: 46.98 (CR-LSO)
    SOTA
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
    Accuracy (Val)· 2021-11-25
    46.14
    best: 46.73 (AG-Net)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2021-11-25
    94.33
    best: 94.37 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2021-11-25
    91.52
    best: 91.61 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2021-11-25
    72.95
    best: 73.51 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2021-11-25
    72.67
    best: 73.49 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Accuracy (Val)· 2021-11-25
    46.14
    best: 46.73 (AG-Net)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2021-11-25
    94.33
    best: 94.37 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2021-11-25
    91.52
    best: 91.61 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2021-11-25
    72.95
    best: 73.51 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2021-11-25
    72.67
    best: 73.49 (DiNAS)
    BaLeNAS: Differentiable Architecture Search via the Bayesian Learning RulearXiv:2111.13204