Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs
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DOI: 10.1109/tnnls.2024.3408099
Abstract: Sparsification and low-rank decomposition are two important techniques to compress deep neural network (DNN) models. To date, these two popular yet distinct approaches are typically used in separate ways; while their efficient integration for better… read more here.
Keywords: structured sparsification; sparsification; tensor decomposition; sparsification low ... See more keywords