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Meta-Learning with Neural Tangent Kernels

ICLR 2021 · Learning theory and algorithms › Kernels and regression theory · approach: Kernel regression under shift · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Meta-RKHS-I instead of Reptilefew-shot meta-learning · Mini-ImageNet 5-way 1-shotaccuracy: 49.70 ± 1.83 % -> 51.10 ± 1.82 %Helped
Use Meta-RKHS-I instead of Reptilefew-shot meta-learning · Mini-ImageNet 5-way 5-shotaccuracy: 65.91 ± 0.84 % -> 66.19 ± 0.80 %Helped
Use Meta-RKHS-II instead of Reptilefew-shot meta-learning · FC-100 5-way 1-shotaccuracy: 38.40 ± 1.94 % -> 41.20 ± 2.17%Helped
Use Meta-RKHS-I instead of Reptilefew-shot meta-learning · FC-100 5-way 5-shotaccuracy: 50.50 ± 0.87 % -> 51.47 ± 0.86%Helped
Use Meta-RKHS-II instead of Bayesian TAMLout-of-distribution few-shot adaptation · CUB 5-way 1-shot, trained on Mini-ImageNetaccuracy: 41.57± 0.60% -> 45.36± 0.87 %Helped
Use Meta-RKHS-II instead of Bayesian TAMLout-of-distribution few-shot adaptation · VGG Flower 5-way 1-shot, trained on Mini-ImageNetaccuracy: 58.56± 0.66 % -> 60.80± 1.02 %Helped
Use Meta-RKHS-II instead of Bayesian TAMLout-of-distribution few-shot adaptation · CUB 5-way 5-shot, trained on Mini-ImageNetaccuracy: 61.78± 0.56% -> 65.21 ± 0.64 %Helped
Use Meta-RKHS-II instead of Bayesian TAMLout-of-distribution few-shot adaptation · VGG Flower 5-way 5-shot, trained on Mini-ImageNetaccuracy: 77.95±0.46 % -> 78.25 ± 0.49 %No clear effect
Set adaptation time to t=10 rather than t=∞ (ablation)Meta-RKHS-II · Mini-ImageNet 5-way 1-shotaccuracy: 48.70 ± 2.28 % -> 50.53 ± 2.09Helped
Set adaptation time to t=10 rather than t=∞ (ablation)Meta-RKHS-II · Mini-ImageNet 5-way 5-shotaccuracy: 64.95± 0.96 % -> 65.40± 0.91 %No clear effect
Set adaptation time to t=10 rather than t=∞ (ablation)Meta-RKHS-II · FC-100 5-way 1-shotaccuracy: 37.60 ± 2.13 % -> 41.20 ± 2.17 %Helped
Set adaptation time to t=10 rather than t=∞ (ablation)Meta-RKHS-II · FC-100 5-way 5-shotaccuracy: 49.48 ± 0.98 % -> 51.36 ± 0.96Helped

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