Image Classification on CIFAR-10 (Accuracy and Efficiency Profile)
95.06Primary AccuracySOSP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SOSPDNN=ResNet-322024.12 | 95.06 | -0.24 | 67.36 | |
| CHIPDNN=ResNet-1102024.12 | 94.44 | 0.94 | 52.1 | |
| GNN-RLDNN=ResNet-1102024.12 | 94.31 | 0.63 | 52 | |
| MDPDNN=ResNet-562024.12 | 94.29 | 0.55 | 45.11 | |
| HrankDNN=ResNet-1102024.12 | 94.23 | 0.73 | 41.2 | |
| ABPDNN=ResNet-1102024.12 | 93.95 | 0.32 | 46.2 | |
| AutoSculptDNN=ResNet-1102024.12 | 93.91 | 0.41 | 55 | |
| DepGraphDNN=ResNet-562024.12 | 93.64 | 0.11 | 61 | |
| DLRFCDNN=ResNet-562024.12 | 93.57 | -0.51 | 52.58 | |
| GNN-RLDNN=ResNet-562024.12 | 93.49 | 0.1 | 54 | |
| NPPMDNN=ResNet-562024.12 | 93.4 | 0.36 | 50 | |
| AutoSculptDNN=ResNet-562024.12 | 93.35 | 0.09 | 63 | |
| MFPDNN=ResNet-1102024.12 | 93.31 | -0.37 | 52.3 | |
| DDGDNN=ResNet-322024.12 | 93.21 | -0.01 | 43.4 | |
| AGMCDNN=ResNet-1102024.12 | 93.08 | -0.6 | 50 | |
| AGMCDNN=ResNet-562024.12 | 92.76 | -0.63 | 50 | |
| MFPDNN=ResNet-562024.12 | 92.76 | -0.83 | 52.6 | |
| GNN-RLDNN=ResNet-322024.12 | 92.58 | -0.05 | 51 | |
| ABPDNN=ResNet-322024.12 | 92.55 | -0.08 | 46.3 | |
| ABPDNN=ResNet-562024.12 | 92.55 | -0.08 | 46.3 | |
| SOKSDNN=ResNet-322024.12 | 92.44 | -0.38 | 46.85 | |
| AutoSculptDNN=ResNet-322024.12 | 92.16 | -0.2 | 70 | |
| AGMCDNN=ResNet-322024.12 | 90.96 | -1.67 | 50 |