| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Permuted Pixel-by-Pixel MNIST Classification | Permuted MNIST (pMNIST) pixel-by-pixel (test) | Accuracy (Clean)96.7 | 25 | |
| Online Continual Learning | Permuted MNIST 1000-tasks (last 5 tasks) | Mean Accuracy (5 Tasks)95.2 | 16 | |
| Incremental Domain Learning (IDL) | permuted-MNIST (test) | Retained Accuracy97.51 | 16 | |
| Continual Learning | Permuted-MNIST (P-MNIST) (test) | Accuracy97.73 | 11 | |
| Image Classification | Permuted-MNIST Single-task | Accuracy (1 Task)96.1 | 8 | |
| Image Classification | Permuted MNIST 10 tasks | Accuracy95.9 | 5 | |
| Continual Learning | Permuted-MNIST (5 tasks) | Average Accuracy (AA)95.4 | 4 |