Neural Architecture Search On Nas Bench 201 2
评估指标
Accuracy (Test)
Accuracy (Val)
Search time (s)
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy (Test) | Accuracy (Val) | Search time (s) |
|---|---|---|---|
| 模型 1 | 15.61 | 15.03 | 10890 |
| knas-green-neural-architecture-search | 71.05 | - | - |
| dsnas-direct-neural-architecture-search | - | 31.01 | - |
| one-shot-neural-architecture-search-via-self | 56.87 | 59.05 | 31010 |
| shapley-nas-discovering-operation-1 | 73.51 | 73.49 | - |
| is-darts-stabilizing-darts-through-precise | 73.51 | 73.49 | - |
| differentiable-architecture-search-with-1 | 72.94 | 72.95 | - |
| a-darts-once-more-enhancing-differentiable | 73.16 | 73.21 | - |
| snas-stochastic-neural-architecture-search | 69.34 | 69.69 | - |
| 模型 10 | 15.61 | 15.03 | 29902 |
| idarts-differentiable-architecture-search | 70.83 | 70.57 | - |
| drnas-dirichlet-neural-architecture-search | 73.51 | 73.49 | - |
| geometry-aware-gradient-algorithms-for-neural | 73.43 | - | - |
| efficient-neural-architecture-search-via | 15.61 | 15.03 | 13315 |
| balenas-differentiable-architecture-search | 72.95 | 72.67 | - |
| generic-neural-architecture-search-via | 72.56 | - | 1080 |
| multi-conditioned-graph-diffusion-for-neural | 73.51 | 73.49 | 15.36 |
| does-unsupervised-architecture-representation | 73.37 | 73.35 | - |
| cr-lso-convex-neural-architecture | 73.47 | 73.44 | - |
| darts-robustly-stepping-out-of-performance | 71.53 | 71.36 | - |
| nas-lid-efficient-neural-architecture-search | 69.39 | 69.38 | - |
| when-nas-meets-trees-an-efficient-algorithm | 73.02 | - | - |
| l-darts-mitigating-performance-collapse-by | 73.51 | 73.49 | - |
| sandwich-batch-normalization-1 | 71.56 | - | - |
| catch-context-based-meta-reinforcement | - | 72.57 | - |
| random-search-and-reproducibility-for-neural | 58.33 | 59.00 | 7587 |
| pre-nas-predictor-assisted-evolutionary | 72.02 | 71.95 | - |
| automatic-subspace-evoking-for-efficient | - | 73.12 | - |
| guided-evolutionary-neural-architecture | 72.36 | 72.62 | - |
| epe-nas-efficient-performance-estimation | 69.33 | 69.23 | 105.8 |
| neural-architecture-ranker | 72.89 | 72.54 | - |
| fairnas-rethinking-evaluation-fairness-of | 71.00 | 70.94 | 9845 |
| epe-nas-efficient-performance-estimation | 69.58 | 69.44 | 206.2 |
| cyclic-differentiable-architecture-search | 71.92 | 72.12 | - |
| searching-for-a-robust-neural-architecture-in-1 | 70.70 | 71.34 | 28926 |
| epe-nas-efficient-performance-estimation | 70.10 | 69.78 | 2.3 |
| du-darts-decreasing-the-uncertainty-of | 71.84 | 71.88 | - |
| learning-where-to-look-generative-nas-is | 73.51 | 73.49 | - |
| b-darts-beta-decay-regularization-for | 73.51 | 73.49 | - |
| epe-nas-efficient-performance-estimation | 67.19 | 67.28 | 20.5 |