Document Sentiment Classification on DSC small
89.12AccuracyLAMOL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LAMOLScenario=Continual Learning (CL), Backbone=GPT-22021.12 | 89.12 | 86.58 | |
| MTLScenario=Non-continual Learning (SDL), Backbone=BERT2021.12 | 85.05 | 84.03 | |
| CTRScenario=Continual Learning (CL), Backbone=BERT2021.12 | 84.34 | 83.29 | |
| CTR (forward)Scenario=Continual Learning (CL), Backbone=BERT2021.12 | 83.75 | 82.55 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT (Frozen)2021.12 | 83.12 | 79.23 | |
| EWCScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 82.38 | 78.41 | |
| B-CLScenario=Continual Learning (CL), Backbone=BERT2021.12 | 82.01 | 80.63 | |
| HATScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 80.83 | 78.41 | |
| UCLScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 80.12 | 74.13 | |
| HATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 79.48 | 72.78 | |
| SRKScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 78.58 | 76.03 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=BERT2021.12 | 78.04 | 74.17 | |
| DER++Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 77.51 | 73.13 | |
| KANScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 77.27 | 72.34 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=Adapter-BERT2021.12 | 76.31 | 71.04 | |
| OWMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 73.97 | 71.96 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=BERT (Frozen)2021.12 | 73.88 | 67.97 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT2021.12 | 73.87 | 69.44 | |
| DER++Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 72.29 | 66.28 | |
| DER++Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 70.52 | 63.56 | |
| A-GEMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 69.8 | 60.07 | |
| CATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 67.41 | 56.22 | |
| L2Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 67.26 | 62.76 | |
| NFHScenario=Continual Learning (CL), Backbone=W2V2021.12 | 65.16 | 57.48 | |
| EWCScenario=Continual Learning (CL), Backbone=W2V2021.12 | 64.82 | 57.2 | |
| SRKScenario=Continual Learning (CL), Backbone=W2V2021.12 | 64.47 | 55.93 | |
| NFHScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 63.76 | 53.95 | |
| A-GEMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 62.89 | 55.96 | |
| HATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 62.57 | 50.83 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=W2V2021.12 | 62.06 | 53.8 | |
| A-GEMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 59.33 | 45.94 | |
| L2Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 59.17 | 48.39 | |
| EWCScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 58.23 | 51.03 | |
| OWMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 58.07 | 42.63 | |
| KANScenario=Continual Learning (CL), Backbone=W2V2021.12 | 57.13 | 43.75 | |
| UCLScenario=Continual Learning (CL), Backbone=W2V2021.12 | 56.23 | 41.34 | |
| CATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 55.19 | 35.28 | |
| L2Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 54.34 | 43.19 | |
| OWMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 53.4 | 38.44 | |
| UCLScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 48.3 | 32.07 |