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Preprints.org
Residual Connection Learning by Contextual Modulation Training in Modern Deep Neural Networks
2025
Residual connections are a cornerstone of modern deep neural networks, facilitating stable gradient propagation and maintaining representational expressiveness. Conventional residual formulations typically combine identity mappings and functional transformati…
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Engineering

Applied science

Engineering is the use of scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and buildings. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering.

The term engineering is derived from the Latin ingenium , meaning "cleverness" and ingeniare , meaning "to contrive, devise".

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Preprints.org
Residual Connection Learning by Contextual Modulation Training in Modern Deep Neural Networks
2025
Residual connections are a cornerstone of modern deep neural networks, facilitating stable gradient propagation and maintaining representational expressiveness. Conventional residual formulations typically combine identity mappings and functional transformations with equal weight, without considering the input-dependent importance of each component. This uniformity restricts the model’s capability to adaptively regulate information flow. We propose a novel Contextual Modulation Training (CoMT) framework that intro…
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