Parameter Prediction On Cifar10
Metrics
Classification Accuracy (BN-free)
Classification Accuracy (Deep)
Classification Accuracy (Dense)
Classification Accuracy (ID-test)
Classification Accuracy (ResNet-50)
Classification Accuracy (ViT)
Classification Accuracy (Wide)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Classification Accuracy (BN-free) | Classification Accuracy (Deep) | Classification Accuracy (Dense) | Classification Accuracy (ID-test) | Classification Accuracy (ResNet-50) | Classification Accuracy (ViT) | Classification Accuracy (Wide) |
|---|---|---|---|---|---|---|---|
| parameter-prediction-for-unseen-deep | 36.8 | 60.5 | 65.8 | 66.9 | 58.6 | 11.4 | 64 |