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P. Shul'zhenko

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#machine learning Preprint Sep 2026

From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy

This work proposes an efficient strategy that enables merging of layers without an existing analytical solution, and also without increasing kernel size, and validate the approach across multiple architectures and datasets, and measure inference speed-up gains on real embedded platforms.

P. Shul'zhenko, Gabriele Spadaro, Enzo Tartaglione · 0 citations

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