Research map / Continual learning / Online and replay-based
Uncertainty-based Continual Learning with Adaptive Regularization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Remove upper freeze (ablation) | UCL · Split CIFAR-10/100 | early-task retention | Hurt |
| Remove upper freeze (ablation) | UCL · Split CIFAR-10/100 | average accuracy | Helped |
| Remove component (5) (ablation) | UCL · Split CIFAR-10/100 | Task 1 retention | Hurt |
| Remove component (5) (ablation) | UCL · Split CIFAR-10/100 | average accuracy | No clear effect |
| Remove component (6) (ablation) | UCL · Split CIFAR-10/100 | Task 1 accuracy | Helped |
| Remove component (6) (ablation) | UCL · Split CIFAR-10/100 | accuracy after Task 1 | Hurt |
| Initialize with small uncertainty (σ_init^(l) = 1×10^-3) (ablation) | UCL · Eight-task continual reinforcement learning | cumulative normalized reward | Hurt |
| Initialize with small uncertainty (σ_init^(l) = 1×10^-3) (ablation) | UCL · Eight-task continual reinforcement learning, Task 8 | new-task learning | Hurt |
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