Generalization gap prediction on ImageNet
13Gap Prediction ErrorInconsistency
Evaluation results
| Method | Links | |
|---|---|---|
| InconsistencyTraining scenario=From scratch, Data source=Unlabeled data2023.05 | 13 | |
| 1-sharpnessTraining scenario=From scratch, Data source=Test loss landscape (dev data, unfair advantage)2023.05 | 14 | |
| 1-sharpnessTraining scenario=From scratch, Data source=Training loss landscape2023.05 | 21 | |
| HessianTraining scenario=From scratch, Data source=Test loss landscape (dev data, unfair advantage)2023.05 | 45 | |
| HessianTraining scenario=From scratch, Data source=Training loss landscape2023.05 | 50 |