Papers › Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun
We revisit the one-shot Neural Architecture Search (NAS) paradigm and analyze its advantages over existing NAS approaches. Existing one-shot method, however, is hard to train and not yet effective on large scale datasets like ImageNet. This work propose a Single Path One-Shot model to address the challenge in the training. Our central idea is to construct a simplified supernet, where all architectures are single paths so that weight co-adaption problem is alleviated. Training is performed by uniform path sampling. All architectures (and their weights) are trained fully and equally. Comprehensive experiments verify that our approach is flexible and effective. It is easy to train and fast to search. It effortlessly supports complex search spaces (e.g., building blocks, channel, mixed-precision quantization) and different search constraints (e.g., FLOPs, latency). It is thus convenient to use for various needs. It achieves start-of-the-art performance on the large dataset ImageNet.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Neural Architecture Search | ImageNet | SPOS (ProxylessNAS (GPU) latency) | Accuracy | 75.3 | #132 of 135 | Archive leaderboard | report |
| Neural Architecture Search | ImageNet | SPOS (ProxylessNAS (GPU) latency) | MACs | 465M | #132 of 135 | Archive leaderboard | report |
| Neural Architecture Search | ImageNet | SPOS (FBNet-C latency) | Accuracy | 75.1 | #133 of 135 | Archive leaderboard | report |
| Neural Architecture Search | ImageNet | SPOS (FBNet-C latency) | MACs | 375M | #133 of 135 | Archive leaderboard | report |
| Neural Architecture Search | ImageNet | SPOS (block search + channel search) | Accuracy | 74.7 | #134 of 135 | Archive leaderboard | report |
| Neural Architecture Search | ImageNet | SPOS (block search + channel search) | MACs | 328M | #134 of 135 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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