| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| SST, QA-SRL, and WOZ Permuted Sequences GPT-2 models (test) | LSEBMCL | Accuracy (SRL WOZ SST)82.4 | 28 | 4d ago | |
| 5-dataset (test) | TRGP | Accuracy93.56 | 15 | 4d ago | |
| Split miniImageNet (test) | Accuracy69.46 | 15 | 4d ago | ||
| AWA Split | AT (%)66.8 | 12 | 4d ago | ||
| 5-dataset | Accuracy70 | 8 | 4d ago | ||
| CUB Split | Accuracy71.65 | 8 | 4d ago | ||
| CIFAR100 Split | Accuracy67.7 | 8 | 4d ago | ||
| Split-CUB (test) | TAG-RMSProp | Accuracy61.58 | 7 | 4d ago | |
| Split-CIFAR100 (test) | TAG-RMSProp | Accuracy62.79 | 7 | 4d ago | |
| CIFAR-100 Seq 5 (test) | AE-TAME | Avg Forgetting5.2 | 5 | 4d ago | |
| CIFAR-100 Seq 4 (test) | AE-TAME | Avg Forgetting0.95 | 5 | 4d ago | |
| CIFAR-100 Seq 3 (test) | TAME | Avg Forgetting2.7 | 5 | 4d ago | |
| CIFAR-100 Seq 2 (test) | TAME | Average Forgetting0.51 | 5 | 4d ago | |
| CIFAR-100 Seq 1 (test) | AE-TAME | Avg Forgetting1.85 | 5 | 4d ago | |
| CIFAR | Training Time (s)105 | 5 | 4d ago | ||
| MNIST | Training Time (s)186 | 5 | 4d ago | ||
| Real-world robot tasks | PPL | Task 1 Success Rate72 | 3 | 4d ago | |
| AWA | Training Time (s)4,123 | 3 | 4d ago | ||
| CUB | Training Time (s)54 | 3 | 4d ago |
