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Stable Rank Normalization

SRN

17 papers tagged archive 2025-07-28

Introduced by Amartya Sanyal et al. in Stable Rank Normalization for Improved Generalization in Neural Networks and GANs

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Stable Rank Normalization (SRN) is a weight-normalization scheme which minimizes the stable rank of a linear operator. It simultaneously controls the Lipschitz constant and the stable rank of a linear operator. Stable rank is a softer version of the rank operator and is defined as the squared ratio of the Frobenius norm to the spectral norm.

PaperSource

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.

Tasks archive 2025-07-28

20 shown of 40 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Novel View Synthesis3
Computational Efficiency2
Decoder2
Image Reconstruction2
NeRF2
3D Object Reconstruction1
3D Reconstruction1
Classification1
Compressive Sensing1
Data Visualization1
Denoising1
Ensemble Learning1
Face Alignment1
Face Generation1
Few-Shot Learning1
GPU1
Generalization Bounds1
Image Generation1
Image Inpainting1
Image Quality Assessment1

Usage over time archive 2025-07-28

Papers per year tagged with SRN: 2019 to 2025, peak 5 5 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 5 papers 2021 2022: 5 papers 2022 2023: 1 paper 2023 2024: 4 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (17 dated). Bars are counts, not a trend claim.

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

NormalizationRegularization

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