Image Classification on MNIST 50% symmetric noise (test)
94.38Accuracy (Test)BARE
Evaluation results
| Method | Links | |
|---|---|---|
| BAREBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 94.38 | |
| COT+Backbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 93.17 | |
| CLBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 92 | |
| COTBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 90.8 | |
| MRBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 90.39 | |
| MNBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 74.94 | |
| CCEBackbone=1-hidden layer MLP, Noise Type=symmetric, Noise Rate (η)=0.52021.06 | 74.3 |