FIELD NOTES TOPIC

low-rank factorization

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  1. SLORR: Simple and Efficient In-Training Low-Rank Regularization

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    The paper introduces SLORR, a simple and efficient low-rank regularization method for compressing neural networks during training. It addresses the limitations of existing methods by being stateless…