Lifelong Learning on 5-dataset (test)
93.56AccuracyTRGP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| TRGPNetwork=multi-head2022.11 | 93.56 | -0.04 | |
| CUBERNetwork=multi-head2022.11 | 93.48 | 0 | |
| HATNetwork=multi-head2022.11 | 91.82 | -1 | |
| MultitaskNetwork=multi-head2022.11 | 91.54 | — | |
| GPMNetwork=multi-head2022.11 | 91.22 | -1 | |
| ER_ResNetwork=multi-head2022.11 | 88.54 | -4 | |
| EWCNetwork=multi-head2022.11 | 87.67 | -3 | |
| A-GEMNetwork=multi-head2022.11 | 82.48 | -13 | |
| TAG-RMSProp2021.05 | 62.59 | -23.49 | |
| ER2021.05 | 61.58 | -22.72 | |
| A-GEM2021.05 | 55.9 | -26.71 | |
| EWC2021.05 | 48.58 | -30.98 | |
| Stable SGD2021.05 | 46.51 | -36.79 | |
| Naive SGD2021.05 | 46.48 | -38.06 | |
| Naive RMSProp2021.05 | 45.49 | -40.09 |