Continual Learning On Asc 19 Tasks
評価指標
F1 - macro
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | F1 - macro |
|---|---|
| continuous-learning-of-context-dependent | 0.7931 |
| achieving-forgetting-prevention-and-knowledge-1 | 0.8362 |
| continual-learning-of-a-mixed-sequence-of-1 | 0.6864 |
| adapting-bert-for-continual-learning-of-a-1 | 0.8140 |
| continual-learning-with-knowledge-transfer | 0.7738 |
| efficient-lifelong-learning-with-a-gem | 0.7844 |
| overcoming-catastrophic-forgetting-in-neural | 0.5243 |
| uncertainty-based-continual-learning-with | 0.7599 |
| dark-experience-for-general-continual | 0.7508 |
| overcoming-catastrophic-forgetting-in-neural | 0.7452 |
| overcoming-catastrophic-forgetting-with-hard | 0.7816 |
| achieving-forgetting-prevention-and-knowledge-1 | 0.7664 |
| lamal-language-modeling-is-all-you-need-for | 0.8059 |
| achieving-forgetting-prevention-and-knowledge-1 | 0.8811 |
| achieving-forgetting-prevention-and-knowledge-1 | 0.7807 |