Image Classification on CIFAR-10 (val) (Best-Found Accuracy & Std Dev)
91.45AccuracyCOLE
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| COLEEvaluation Budget=5002026.05 | 91.45 | — | — | — | — | — | — | — | |
| PathEvaluation Budget=5002026.05 | 91.43 | — | — | — | — | — | — | — | |
| COLEEvaluation Budget=2502026.05 | 91.31 | — | — | — | — | — | — | — | |
| PathEvaluation Budget=2502026.05 | 91.29 | — | — | — | — | — | — | — | |
| COLEEvaluation Budget=1202026.05 | 91.08 | — | — | — | — | — | — | — | |
| PathEvaluation Budget=1202026.05 | 91.08 | — | — | — | — | — | — | — | |
| COLEEvaluation Budget=602026.05 | 90.78 | — | — | — | — | — | — | — | |
| PathEvaluation Budget=602026.05 | 90.69 | — | — | — | — | — | — | — | |
| CTMd_model=512, Backbone=HRF, Steps=600K, Seeding Protocol=single seed2026.05 | — | — | 86.16 | — | — | — | — | — | |
| TIDEd_model=512, Backbone=HRF, Steps=600K, Seeding Protocol=multi-seeded2026.05 | — | — | 90.6 | 90.5 | 90.57 | 0.04 | 90.48 | 0.04 |