Task-incremental Learning on CIFAR-100 (10-splits)
76.1Average AccuracyMulti-task
Evaluation results
| Method | Links | |
|---|---|---|
| Multi-taskBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 76.1 | |
| SB-MCLBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 72.3 | |
| SGPBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 72 | |
| DRCLBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 71.9 | |
| BANBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 71.6 | |
| UPGDBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 71.6 | |
| POCLBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 71.2 | |
| WSNBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 70.2 | |
| IBPCLBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 69.3 | |
| UCLBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 65.7 | |
| HATBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 63.9 | |
| EWCBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 63.5 | |
| TAGBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 62.4 | |
| BaselineBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 54.9 | |
| A-GEMBackbone=AlexNet, Task Setting=Disjoint, Number of runs=32026.04 | 54.4 |