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Dai et al., 2023 - Google Patents

Deep Learning Model Compression With Rank Reduction in Tensor Decomposition

Dai et al., 2023

Document ID
1787588339452862448
Author
Dai W
Fan J
Miao Y
Hwang K
Publication year
Publication venue
IEEE Transactions on Neural Networks and Learning Systems

External Links

Snippet

Large neural network models are hard to deploy on lightweight edge devices demanding large network bandwidth. In this article, we propose a novel deep learning (DL) model compression method. Specifically, we present a dual-model training strategy with an …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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