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Research map / Continual learning / Online and replay-based

Look-ahead Meta Learning for Continual Learning

NeurIPS 2020 · Continual learning › Online and replay-based · approach: Memory-based and Bayesian online learning · 19 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add learned per-parameter asynchronous rates for meta-updates (ablation)C-MAML · CIFAR-100 Multiple-PassRA: 65.44 { $\pm$ 0.99} -> \textbf{70.08 { $\pm$ 0.66}}Helped
add learned per-parameter asynchronous rates for meta-updates (ablation)C-MAML · CIFAR-100 Single-PassRA: 55.57 { $\pm$ 0.94} -> \textbf{61.18 { $\pm$ 1.44}}Helped
add learned per-parameter asynchronous rates for meta-updates (ablation)C-MAML · TinyImagenet Multiple-PassRA: 61.93 { $\pm$ 1.55} -> \textbf{66.99 { $\pm$ 1.65}}Helped
add learned per-parameter asynchronous rates for meta-updates (ablation)C-MAML · TinyImagenet Single-PassRA: 48.77 { $\pm$ 1.26} -> 52.59 { $\pm$ 1.35}Helped
make learned meta-update rates asynchronous rather than fixed (ablation)Sync · CIFAR-100 Multiple-PassRA: 67.06 { $\pm$ 0.62} -> \textbf{70.08 { $\pm$ 0.66}}Helped
make learned meta-update rates asynchronous rather than fixed (ablation)Sync · CIFAR-100 Single-PassRA: 58.99 { $\pm$ 1.40} -> \textbf{61.18 { $\pm$ 1.44}}Helped
make learned meta-update rates asynchronous rather than fixed (ablation)Sync · TinyImagenet Multiple-PassRA: 65.40 { $\pm$ 1.40} -> \textbf{66.99 { $\pm$ 1.65}}Helped
make learned meta-update rates asynchronous rather than fixed (ablation)Sync · TinyImagenet Single-PassRA: \textbf{52.84 { $\pm$ 2.55}} -> 52.59 { $\pm$ 1.35}No clear effect
add meta-learning to LR-modulated ER updates (ablation)La-ER · CIFAR-100 Multiple-PassRA: 67.17 { $\pm$ 1.14} -> \textbf{70.08 { $\pm$ 0.66}}Helped
add meta-learning to LR-modulated ER updates (ablation)La-ER · TinyImagenet Multiple-PassRA: 54.76 { $\pm$ 1.94} -> \textbf{66.99 { $\pm$ 1.65}}Helped
add meta-learning to LR-modulated ER updates (ablation)La-ER · TinyImagenet Single-PassRA: 44.75 { $\pm$ 1.96} -> 52.59 { $\pm$ 1.35}Helped
add asynchronous LR modulation (ablation)C-MAML · MNIST PermutationsRA: \textbf{74.54 { $\pm$ 0.54}} -> 74.34 { $\pm$ 0.67}No clear effect

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