HyperAI

Neural Architecture Search On Nas Bench 201 1

Metrics

Accuracy (Test)
Accuracy (Val)

Results

Performance results of various models on this benchmark

Comparison Table
Model NameAccuracy (Test)Accuracy (Val)
neural-architecture-ranker94.3391.44
b-darts-beta-decay-regularization-for94.3691.55
Model 354.3039.77
searching-for-a-robust-neural-architecture-in-193.6189.89
does-unsupervised-architecture-representation94.1891.41
epe-nas-efficient-performance-estimation92.6389.90
snas-stochastic-neural-architecture-search92.7790.10
shapley-nas-discovering-operation-194.3791.61
darts-robustly-stepping-out-of-performance93.8091.03
Model 1086.1982.25
Model 1154.3039.77
nas-lid-efficient-neural-architecture-search92.989.74
du-darts-decreasing-the-uncertainty-of 93.8691.21
learning-where-to-look-generative-nas-is94.3791.61
balenas-differentiable-architecture-search94.3391.52
l-darts-mitigating-performance-collapse-by94.3691.55
geometry-aware-gradient-algorithms-for-neural94.1-
random-search-and-reproducibility-for-neural87.6684.16
is-darts-stabilizing-darts-through-precise 94.3691.55
catch-context-based-meta-reinforcement-91.33
drnas-dirichlet-neural-architecture-search94.3691.55
efficient-neural-architecture-search-via54.339.77
pre-nas-predictor-assisted-evolutionary94.0491.37
cyclic-differentiable-architecture-search94.0291.12
epe-nas-efficient-performance-estimation91.3187.87
generic-neural-architecture-search-via94.18-
cr-lso-convex-neural-architecture94.3591.54
a-darts-once-more-enhancing-differentiable94.391.49
differentiable-architecture-search-with-194.2791.3
guided-evolutionary-neural-architecture 93.9991.26
fairnas-rethinking-evaluation-fairness-of93.2390.07
epe-nas-efficient-performance-estimation92.2788.17
epe-nas-efficient-performance-estimation91.5988.74
idarts-differentiable-architecture-search93.5889.86
when-nas-meets-trees-an-efficient-algorithm94.35-
multi-conditioned-graph-diffusion-for-neural94.3791.61
knas-green-neural-architecture-search93.43-