ESPN: Extremely Sparse Pruned Networks
2021 IEEE Data Science and Learning Workshop (DSLW)(2021)
Abstract
Deep neural networks are often highly over-parameterized, prohibiting their use in compute-limited systems. However, a line of recent works has shown that the size of deep networks can be considerably reduced by identifying a subset of neuron indicators (or mask) that correspond to significant weights prior to training. We demonstrate that a simple iterative mask discovery method can achieve state...
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Key words
Model compression,neural network pruning,sparsification
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