Document Sentiment Classification on DSC full
92.11AccuracyLAMOL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LAMOLScenario=Continual Learning (CL), Backbone=GPT-22021.12 | 92.11 | 91.72 | |
| CTR (forward)Scenario=Continual Learning (CL), Backbone=BERT2021.12 | 89.86 | 89.16 | |
| MTLScenario=Non-continual Learning (SDL), Backbone=BERT2021.12 | 89.77 | 89.28 | |
| CTRScenario=Continual Learning (CL), Backbone=BERT2021.12 | 89.31 | 88.75 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=Adapter-BERT2021.12 | 88.3 | 87.31 | |
| HATScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 88 | 87.26 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=BERT2021.12 | 87.84 | 86.8 | |
| CATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 87.34 | 86.51 | |
| HATScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 87.29 | 86.14 | |
| DER++Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 86.7 | 85.46 | |
| OWMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 86.3 | 85.36 | |
| OWMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 85.46 | 84.57 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=BERT (Frozen)2021.12 | 85.34 | 80.17 | |
| SRKScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 83.99 | 82.66 | |
| KANScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 82.32 | 81.23 | |
| B-CLScenario=Continual Learning (CL), Backbone=BERT2021.12 | 79.76 | 76.51 | |
| CATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 79.58 | 75.99 | |
| A-GEMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 77.67 | 70.75 | |
| DER++Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 74.79 | 66.68 | |
| UCLScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 74.76 | 69.48 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT2021.12 | 73.08 | 71.81 | |
| L2Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 73.03 | 71.5 | |
| EWCScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 72.77 | 65.76 | |
| A-GEMScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 71.22 | 69.94 | |
| A-GEMScenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 70.67 | 61.77 | |
| UCLScenario=Continual Learning (CL), Backbone=W2V2021.12 | 70.56 | 67.01 | |
| NFHScenario=Continual Learning (CL), Backbone=W2V2021.12 | 70.4 | 68.03 | |
| EWCScenario=Continual Learning (CL), Backbone=W2V2021.12 | 70 | 65.11 | |
| L2Scenario=Continual Learning (CL), Backbone=BERT (frozen)2021.12 | 69.8 | 62.63 | |
| HATScenario=Continual Learning (CL), Backbone=W2V2021.12 | 69.75 | 65.44 | |
| SRKScenario=Continual Learning (CL), Backbone=W2V2021.12 | 69.65 | 65.25 | |
| SDLScenario=Non-continual Learning (SDL), Backbone=W2V2021.12 | 69.57 | 65.51 | |
| KANScenario=Continual Learning (CL), Backbone=W2V2021.12 | 69.35 | 64.78 | |
| OWMScenario=Continual Learning (CL), Backbone=W2V2021.12 | 67.15 | 65.42 | |
| NFHScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 64.94 | 63.4 | |
| EWCScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 62.69 | 61.51 | |
| NFHScenario=Continual Learning (CL), Backbone=BERT (Frozen)2021.12 | 61.88 | 45.79 | |
| DER++Scenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 59.67 | 57.82 | |
| L2Scenario=Continual Learning (CL), Backbone=W2V2021.12 | 57.71 | 48 | |
| UCLScenario=Continual Learning (CL), Backbone=Adapter-BERT2021.12 | 57.06 | 55.86 |