WINGs compresses neural network weights by storing a reduced first layer and predicting all later layers with PCA and support vector regression, claiming up to 53x compression, a number contradicted by the paper's own tables.
Deep residual learning for image recognition,
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Secure and Storage-Efficient Deep Learning Models for Edge AI Using Automatic Weight Generation
WINGs compresses neural network weights by storing a reduced first layer and predicting all later layers with PCA and support vector regression, claiming up to 53x compression, a number contradicted by the paper's own tables.