Image Classification on CIFAR10 without data augmentation (In-distribution)
82.35AccuracyDE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DEModel Type=Kernel, Data Augmentation=None2026.03 | 82.35 | 0.6934 | 5.04 | 6.99 | |
| SGPAEModel Type=Kernel, Data Augmentation=None2026.03 | 81.72 | 0.5657 | 1.84 | 5.79 | |
| MCDModel Type=Kernel, Data Augmentation=None2026.03 | 79.1 | 0.7789 | 7.99 | 15.01 | |
| SNGPModel Type=Kernel, Data Augmentation=None2026.03 | 78.37 | 0.7534 | 7.45 | 14.43 | |
| MLEModel Type=Kernel, Data Augmentation=None2026.03 | 78.11 | 1.3395 | 20.82 | 37.24 | |
| TSModel Type=Kernel, Data Augmentation=None2026.03 | 78.11 | 0.8254 | 13.57 | 24.99 | |
| SGPAModel Type=Kernel, Data Augmentation=None2026.03 | 77.87 | 0.6968 | 5.89 | 8.25 | |
| KFLLLAModel Type=Kernel, Data Augmentation=None2026.03 | 77.52 | 0.7201 | 7.1 | 14.97 | |
| MLEModel Type=SDP, Data Augmentation=None2026.03 | 74.39 | 2.294 | 27.03 | 45.09 | |
| MFVIModel Type=Kernel, Data Augmentation=None2026.03 | 72.02 | 0.7995 | 3.31 | 6.64 |