Image Classification on Split MNIST S (test)
99.83Task-Averaged AccuracyHNET+R
Evaluation results
| Method | Links | |
|---|---|---|
| HNET+RContinual Learning Scenario=CL12019.06 | 99.83 | |
| HNET+ENTContinual Learning Scenario=CL12019.06 | 99.79 | |
| HNET+TIRContinual Learning Scenario=CL12019.06 | 99.79 | |
| DGRContinual Learning Scenario=CL12019.06 | 99.61 | |
| EWCContinual Learning Scenario=CL12019.06 | 99.12 | |
| SIContinual Learning Scenario=CL12019.06 | 99.09 | |
| HNET+RContinual Learning Scenario=CL22019.06 | 98 | |
| DGRContinual Learning Scenario=CL22019.06 | 96.83 | |
| HNET+RContinual Learning Scenario=CL32019.06 | 95.3 | |
| HNET+TIRContinual Learning Scenario=CL22019.06 | 94.43 | |
| DGRContinual Learning Scenario=CL32019.06 | 91.79 | |
| HNET+TIRContinual Learning Scenario=CL32019.06 | 89.59 | |
| HNET+ENTContinual Learning Scenario=CL22019.06 | 87.01 | |
| HNET+ENTContinual Learning Scenario=CL32019.06 | 69.48 | |
| SIContinual Learning Scenario=CL22019.06 | 65.36 | |
| EWCContinual Learning Scenario=CL22019.06 | 64.32 | |
| SIContinual Learning Scenario=CL32019.06 | 19.99 | |
| EWCContinual Learning Scenario=CL32019.06 | 19.96 |