Methods › General › Neural Architecture Search › ProxylessNAS
ProxylessNAS
Introduced by Han Cai et al. in ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ProxylessNAS directly learns neural network architectures on the target task and target hardware without any proxy task. Additional contributions include:
- Using a new path-level pruning perspective for neural architecture search, showing a close connection between NAS and model compression. Memory consumption is saved by one order of magnitude by using path-level binarization.
- Using a novel gradient-based approach (latency regularization loss) for handling hardware objectives (e.g. latency). Given different hardware platforms: CPU/GPU/Mobile, ProxylessNAS enables hardware-aware neural network specialization that’s exactly optimized for the target hardware.
Papers archive 2025-07-28
17 shown of 17, 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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Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge 24 Jan 2023 · 1 repository · arXiv:2301.10281
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NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension 23 Nov 2022 · 1 repository · arXiv:2211.12759
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AGNAS: Attention-Guided Micro- and Macro-Architecture Search 5 Jun 2022 · 1 repository
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Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification 5 Jun 2022 · 0 repositories · arXiv:2206.02098
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Generalizing Few-Shot NAS with Gradient Matching 29 Mar 2022 · 1 repository · arXiv:2203.15207Syntology ran 0 of 7 samples · 7 unverified
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Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search 23 Feb 2022 · 0 repositories · arXiv:2202.11490
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Data-Free Neural Architecture Search via Recursive Label Calibration 3 Dec 2021 · 0 repositories · arXiv:2112.02086
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Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search 25 Sep 2021 · 1 repository · arXiv:2109.12426
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Federated Model Search via Reinforcement Learning 7 Jul 2021 · 0 repositories
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Generative Adversarial Neural Architecture Search 19 May 2021 · 0 repositories · arXiv:2105.09356
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Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search 4 Jan 2021 · 2 repositories · arXiv:2101.00732
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Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients 11 Nov 2020 · 1 repository · arXiv:2011.05649
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How Does Supernet Help in Neural Architecture Search? 16 Oct 2020 · 0 repositories · arXiv:2010.08219
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Angle-based Search Space Shrinking for Neural Architecture Search 28 Apr 2020 · 1 repository · arXiv:2004.13431Syntology ran 2 of 4 samples · 2 unverified
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UNAS: Differentiable Architecture Search Meets Reinforcement Learning 16 Dec 2019 · 1 repository · arXiv:1912.07651
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Neural Predictor for Neural Architecture Search 2 Dec 2019 · 2 repositories · arXiv:1912.00848Syntology ran 0 of 10 samples · 10 unverified
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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 · 23 repositories · arXiv:1812.00332Syntology ran 5 of 27 samples · 22 unverified
Tasks archive 2025-07-28
20 shown of 23 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections