Papers with weight-based pruning techniques

1 papers
Layer-wise Model Pruning based on Mutual Information (2021.emnlp-main)

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Challenge: In spite of impressive results of neural networks, the huge model size has hindered their applications in cases where computation and memory resources are limited.
Approach: They propose a method for layer-wise pruning using mutual information based feature selection in SVMs and logistic regression.
Outcome: The proposed pruning strategy offers greater speedup and higher performance than weight-based pruning methods.

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