Forgetting Rate on 20News FR
40.22AccuracyA-GEM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| A-GEMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 40.22 | 51.2 | |
| EWCScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 37.79 | 46.58 | |
| DER++Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 36.39 | 45.3 | |
| NFHScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 30.59 | 3.79 | |
| OWMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 27.38 | 32.76 | |
| HATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 26.04 | 29.7 | |
| L2Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 24.57 | 32.05 | |
| CATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 24.37 | 26.95 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT2021.12 | 24.29 | 30.52 | |
| OWMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 24 | 27.56 | |
| L2Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 23.12 | 27.39 | |
| KANScenario=Continual Learning (CL), Backbone=W2V2021.12 | 20.98 | 27.02 | |
| LAMOLScenario=Continual Learning (CL), Backbone=GPT-22021.12 | 20.03 | 16.6 | |
| KANScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 15.52 | 18.87 | |
| OWMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 13.8 | 15.81 | |
| SRKScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 12.06 | 13.97 | |
| DER++Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 10.54 | 12.16 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT (Frozen)2021.12 | 8.76 | 9.73 | |
| L2Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 7.83 | 11.89 | |
| SRKScenario=Continual Learning (CL), Backbone=W2V2021.12 | 7.2 | 8.81 | |
| UCLScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 4.7 | 6.6 | |
| UCLScenario=Continual Learning (CL), Backbone=W2V2021.12 | 4.53 | 4.7 | |
| DER++Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 4.32 | 4.42 | |
| NFHScenario=Continual Learning (CL), Backbone=W2V2021.12 | 4.3 | 4.47 | |
| A-GEMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 4.09 | 4.48 | |
| A-GEMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 3.94 | 4.08 | |
| EWCScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 3.5 | 3.03 | |
| EWCScenario=Continual Learning (CL), Backbone=W2V2021.12 | 2.64 | 2.71 | |
| HATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 2.26 | 2.89 | |
| CATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 0.8 | 0.81 | |
| B-CLScenario=Continual Learning (CL), Backbone=BERT2021.12 | 0.58 | 0.59 | |
| UCLScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 0.48 | 0.48 | |
| CTRScenario=Continual Learning (CL), Backbone=BERT2021.12 | 0.42 | 0.43 | |
| HATScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 0.33 | 0.34 |