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Unchain the Search Space with Hierarchical Differentiable Architecture Search

AAAI 2021 · Architectures and efficiency › Neural architecture search · approach: Differentiable architecture search (DARTS) · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Search stage-specific cell structures instead of one shared cell (ablation)DARTS · CIFAR10test error (%): 2.76 -> 2.66Helped
Search stage-level connections in addition to the shared cell (ablation)DARTS · CIFAR10test error (%): 2.76 -> 2.58Helped
Use stage-specific macro-architecture search rather than shared stage structure (ablation)H^s-DAS · CIFAR10test error (%): 2.58 -> 2.30Helped
Use stage-specific cell search together with stage-specific macro-architecture search (ablation)H^s-DAS · ImageNettop-1 test error (%): 24.50 -> 25.80Hurt
Constrain cell predecessors with a sliding window, reducing m from 7 to 3 (ablation)H^s-DAS · CIFAR10test error (%): 3.08 -> 2.58Helped
Add a depth loss to encourage deeper stage structures (ablation)H^s-DAS · CIFAR10test error (%): 2.59 -> 2.34Helped
Increase depth-loss weight from δ=1 to δ=1.5 (ablation)H^s-DAS · CIFAR10test error (%): 2.34 -> 2.53Hurt
Change stage-level operations while keeping the connections fixed (ablation)H^s-DAS · CIFAR10top-1 accuracy: 97.49 -> 97.48No clear effect
Replace the searched cell with a P-DARTS cell (ablation)H^s-DAS · CIFAR10test error (%): 2.41 -> 2.30Helped
Replace the searched cell with a NoisyDARTS cell (ablation)H^s-DAS · CIFAR10test error (%): 2.41 -> 2.34Helped
Combine H^s-DAS with AutoAugmentH^s-DAS · CIFAR10test error (%): 2.41 -> 1.99Helped

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