Image Classification on CIFAR-10 (test) (Symmetry Perturbation Metrics)
94.29Accuracy (Sym. 0%)CTRR
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CTRRBackbone=PreAct ResNet18, Number of runs=32022.03 | 94.29 | 93.05 | 92.16 | 87.34 | 83.66 | 81.65 | 89 | |
| SLBackbone=PreAct ResNet18, Number of runs=32022.03 | 94.21 | 92.45 | 89.22 | 84.63 | 72.59 | 51.13 | 83.58 | |
| CEBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.97 | 88.51 | 82.73 | 76.26 | 59.25 | 39.43 | 83.23 | |
| APLBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.97 | 92.51 | 89.34 | 85.01 | 70.52 | 49.38 | 84.06 | |
| ForwardBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.47 | 88.87 | 83.28 | 75.15 | 58.58 | 38.49 | 82.93 | |
| LIMITBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.47 | 89.63 | 85.39 | 78.05 | 58.71 | 40.46 | 83.56 | |
| Co-teachingBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.37 | 92.05 | 87.73 | 85.1 | 44.16 | 30.39 | 77.78 | |
| SLNBackbone=PreAct ResNet18, Number of runs=32022.03 | 93.21 | 88.77 | 87.03 | 80.57 | 63.99 | 36.64 | 81.02 | |
| GCEBackbone=PreAct ResNet18, Number of runs=32022.03 | 92.38 | 91.22 | 89.26 | 85.76 | 70.57 | 31.25 | 82.23 |