{"task":"Parameter Prediction","dataset":"CIFAR10","metric_names":["Classification Accuracy (BN-free)","Classification Accuracy (Deep)","Classification Accuracy (Dense)","Classification Accuracy (ID-test)","Classification Accuracy (ResNet-50)","Classification Accuracy (ViT)","Classification Accuracy (Wide)"],"rows":[{"id":120608,"task":"Parameter Prediction","parent_task":null,"dataset":"CIFAR10","model_name":"GHN-2","metrics":{"Classification Accuracy (BN-free)":"36.8","Classification Accuracy (Deep)":"60.5","Classification Accuracy (Dense)":"65.8","Classification Accuracy (ID-test)":"66.9","Classification Accuracy (ResNet-50)":"58.6","Classification Accuracy (ViT)":"11.4","Classification Accuracy (Wide)":"64"},"paper_url":"https://arxiv.org/abs/2110.13100v1","paper_title":"Parameter Prediction for Unseen Deep Architectures","paper_date":"2021-10-25","code_links":[{"title":"facebookresearch/ppuda","url":"https://github.com/facebookresearch/ppuda"}],"metrics_order":"[\"Classification Accuracy (BN-free)\", \"Classification Accuracy (Deep)\", \"Classification Accuracy (Dense)\", \"Classification Accuracy (ID-test)\", \"Classification Accuracy (ResNet-50)\", \"Classification Accuracy (ViT)\", \"Classification Accuracy (Wide)\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]}]}