Neural Architecture Search On Cifar 10
Métriques
Parameters
Search Time (GPU days)
Top-1 Error Rate
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Parameters | Search Time (GPU days) | Top-1 Error Rate |
|---|---|---|---|
| cate-computation-aware-neural-architecture | 4.1 | 10.3 | 2.46% |
| eeea-net-an-early-exit-evolutionary-neural | - | - | 2.46% |
| how-does-topology-of-neural-architectures | 3.82M | 0 | 3.18% |
| searching-for-a-robust-neural-architecture-in-1 | - | 0.21 | 3.4% |
| Modèle 5 | 144.6M | 200 | 1.93% |
| m-darts-model-uncertainty-aware | - | 0.1 | 3.277% |
| efficacy-of-neural-prediction-based-nas-for | - | - | 3.3% |
| how-does-topology-of-neural-architectures | 5.02M | 0 | 3.0% |
| muxconv-information-multiplexing-in | 2.1M | - | 2.0% |
| zen-nas-a-zero-shot-nas-for-high-performance | 2.0M | - | 2.5% |
| blockwisely-supervised-neural-architecture | - | - | 1.7% |
| neural-architecture-transfer | 4.3M | 1.0 | 2.6% |
| balanced-mixture-of-supernets-for-learning | - | - | - |
| fair-darts-eliminating-unfair-advantages-in | 2.8M | 0.25 | 2.54% |
| neural-architecture-transfer | 6.9M | 1.0 | 1.6% |
| one-shot-neural-architecture-search-via-self | - | 1.8 | 2.69% |
| tnasp-a-transformer-based-nas-predictor-with | 3.7M | 0.3 | 2.52% |
| du-darts-decreasing-the-uncertainty-of | 3.8M | 0.4 | 2.32% |
| sharpdarts-faster-and-more-accurate | 1.98M | 1.8 | 2.29% |
| neural-architecture-transfer | 4.6M | 1.0 | 2.1% |
| sharpdarts-faster-and-more-accurate | 3.6M | 0.8 | 1.98% |
| on-constrained-optimization-in-differentiable | 3.7M | 0.5 | 2.62% |
| sgas-sequential-greedy-architecture-search | 3.8M | 0.25 | 2.39% |
| darts-differentiable-architecture-search | 3.3 | 4 | 2.76% |
| bonsai-net-one-shot-neural-architecture | 2.9M | 0.10 | 3.35% |
| optimizing-neural-architecture-search-using | - | 1 | 2.82% |
| darts-differentiable-architecture-search | 3.3 | 1.5 | 3% |
| learning-implicitly-recurrent-cnns-through | - | 0.7 | 2.53% |
| pc-darts-partial-channel-connections-for | - | - | 2.51% |
| pc-darts-partial-channel-connections-for | 3.6M | 0.1 | 2.57% |
| b-darts-beta-decay-regularization-for | - | - | 2.53% |
| neural-architecture-search-using-stable-rank | 4.0M | 0.3 | 2.54% |
| does-unsupervised-architecture-representation | 3.6M | 10.5 | 2.56% |
| idarts-improving-darts-by-node-normalization | 3.6M | 0.4 | 2.25% |
| noisy-differentiable-architecture-search | 3.25M | 0.25 | 2.39% |
| alphax-exploring-neural-architectures-with-1 | - | 224 | 2.82% |
| fairnas-rethinking-evaluation-fairness-of | 3 | 8 | 1.8% |
| searching-for-a-robust-neural-architecture-in-1 | - | 0.17 | 2.5% |
| drnas-dirichlet-neural-architecture-search | 4.1M | - | 2.46% |
| neural-architecture-transfer | 6.2M | 1.0 | 1.8% |
| shapley-nas-discovering-operation-1 | 3.6M | - | 2.43% |