Methods › Computer Vision › Convolutional Neural Networks › Single-path NAS
Single-path NAS
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Single-Path NAS is a convolutional neural network architecture discovered through the Single-Path neural architecture search approach. The NAS utilises a single-path search space. Specifically, compared to previous differentiable NAS methods, Single-Path NAS uses one single-path over-parameterized ConvNet to encode all architectural decisions with shared convolutional kernel parameters. The approach is built upon the observation that different candidate convolutional operations in NAS can be viewed as subsets of a single superkernel. Without having to choose among different paths/operations as in multi-path methods, we instead solve the NAS problem as finding which subset of kernel weights to use in each ConvNet layer. By sharing the convolutional kernel weights, we encode all candidate NAS operations into a single superkernel.
The architecture itself uses the inverted residual block from MobileNetV2 as its basic building block.
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture 21 Jun 2023 · 1 repository · arXiv:2306.11982
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S3NAS: Fast NPU-aware Neural Architecture Search Methodology 4 Sep 2020 · 1 repository · arXiv:2009.02009Syntology ran 0 of 5 samples · 5 unverified
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Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization 1 Jul 2019 · 1 repository · arXiv:1907.00959
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Single-Path NAS: Device-Aware Efficient ConvNet Design 10 May 2019 · 0 repositories · arXiv:1905.04159
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Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours 5 Apr 2019 · 9 repositories · arXiv:1904.02877Syntology ran 1 of 16 samples · 15 unverified
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Classification | 5 |
| Neural Architecture Search | 5 |
| image-classification | 4 |
| GPU | 3 |
| General Classification | 2 |
| AutoML | 1 |
| Hyperparameter Optimization | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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