Continual Learning On Permuted Mnist
Metrics
Average Accuracy
BWT
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average Accuracy | BWT |
|---|---|---|
| code-cl-conceptor-based-gradient-projection | 96.56 | -0.24 |
| understanding-catastrophic-forgetting-and | 97.988 | - |
| boosting-a-model-zoo-for-multi-task-and | 97.71 | - |