Parameter Prediction On Cifar10
評価指標
Classification Accuracy (BN-free)
Classification Accuracy (Deep)
Classification Accuracy (Dense)
Classification Accuracy (ID-test)
Classification Accuracy (ResNet-50)
Classification Accuracy (ViT)
Classification Accuracy (Wide)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Classification Accuracy (BN-free) | Classification Accuracy (Deep) | Classification Accuracy (Dense) | Classification Accuracy (ID-test) | Classification Accuracy (ResNet-50) | Classification Accuracy (ViT) | Classification Accuracy (Wide) | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|---|
| GHN-2 | 36.8 | 60.5 | 65.8 | 66.9 | 58.6 | 11.4 | 64 | Parameter Prediction for Unseen Deep Architectures |
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