Generalization gap prediction on Stanford Dogs
27Generalization Gap Prediction ErrorInconsistency
Evaluation results
| Method | Links | |
|---|---|---|
| InconsistencyTraining scenario=From scratch, Data source=Unlabeled data2023.05 | 27 | |
| 1-sharpnessTraining scenario=From scratch, Data source=Test loss landscape (dev data, unfair advantage)2023.05 | 40 | |
| HessianTraining scenario=From scratch, Data source=Training loss landscape2023.05 | 72 | |
| 1-sharpnessTraining scenario=From scratch, Data source=Training loss landscape2023.05 | 74 | |
| HessianTraining scenario=From scratch, Data source=Test loss landscape (dev data, unfair advantage)2023.05 | 75 |