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ResNet50 on CIFAR10.
| Method | Pruning ratio (%) | Val. acc. (%) | |
|---|---|---|---|
| Para. | FLOPs | ||
| AutoML for model compression (93.53%) [49] | 60 | — | +0.12 |
| Prune Train (94.2%) [25] | — | 70 | −1.10 |
| Automatic neural network compression (93.55%) [26] | 50 | — | −1.51 |
| Pruning it Yourself (92.85%) [50] | 41.52 | 34.18 | −0.16 |
| MS-KD 0.6 (95.36%) [51] | 84.01 | 84.10 | −0.24 |
| Ours scheme 1 Iteration-6 (93.6%) | 83.97 | 86.30 | +0.40 |
