Methods › General › Normalization › InPlace-ABN
In-Place Activated Batch Normalization
InPlace-ABN
Introduced by Samuel Rota Bulò et al. in In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
In-Place Activated Batch Normalization, or InPlace-ABN, substitutes the conventionally used succession of BatchNorm + Activation layers with a single plugin layer, hence avoiding invasive framework surgery while providing straightforward applicability for existing deep learning frameworks. It approximately halves the memory requirements during training of modern deep learning models.
Papers archive 2025-07-28
2 shown of 2, 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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TResNet: High Performance GPU-Dedicated Architecture 30 Mar 2020 · 3 repositories · arXiv:2003.13630
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In-Place Activated BatchNorm for Memory-Optimized Training of DNNs 7 Dec 2017 · 2 repositories · arXiv:1712.02616
Tasks archive 2025-07-28
11 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
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Categories archive 2025-07-28
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