Research map / Architectures and efficiency / Neural architecture search
Binarized Neural Architecture Search
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use BNAS full-precision search instead of PC-DARTS | full-precision architecture search · CIFAR-10 | search cost (GPU days): 0.15 -> 0.08 | Helped |
| use BNAS full-precision search instead of PC-DARTS | full-precision architecture search · CIFAR-10 | test error (%): 2.78 -> 2.84 | Hurt |
| increase initial channels to 44 (ablation) | BNAS (XNOR) · CIFAR-10 | test error (%): 5.71 -> 4.88 | Helped |
| increase initial channels to 48 (ablation) | BNAS (PCNN) · CIFAR-10 | test error (%): 3.94 -> 3.47 | Helped |
| use BNAS with PCNN instead of PC-DARTS with PCNN | binarized architecture search · CIFAR-10 | test accuracy (%): 95.12% -> 96.06% | Helped |
| use BNAS with PCNN instead of PC-DARTS with PCNN | binarized architecture search · CIFAR-10 | search cost (GPU days): 0.18 -> 0.09375 | Helped |
| use BNAS (PCNN) instead of PC-DARTS | architecture search · ImageNet | search cost (GPU days): 3.8 -> 2.6 | Helped |
| use BNAS (PCNN) instead of PC-DARTS | architecture search · ImageNet | Top1 accuracy (%): 75.8 -> 71.3 | Hurt |
Closest papers by meaning
- ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding (NeurIPS 2020 · similarity 0.90)
- Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective (ICLR 2021 · similarity 0.90)
- Vision-Oriented Lightweight Neural Architecture Search with Budget-Adaptive Evaluation (CVPR 2026 · similarity 0.89)
- NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization (CVPR 2021 · similarity 0.89)
- Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions (AAAI 2025 · similarity 0.88)
- einspace: Searching for Neural Architectures from Fundamental Operations (NeurIPS 2024 · similarity 0.88)
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