β-RDARTS-L2

Reported on 2 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.

Methodology2 results

Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
Accuracy (Test)· 2022-03-03
46.71
best: 46.98 (CR-LSO)
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search arXiv:2203.01665
AutoMLonNAS-Bench-201, ImageNet-16-120
Accuracy (Test)· 2022-03-03
46.71
best: 46.98 (CR-LSO)
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search arXiv:2203.01665