2024
Boosting Pruned Networks with Linear Over-Parameterization
ICASSP 2024accepted
Structured pruning is a popular technique for reducing the computational cost and memory footprint of neural networks by removing channels. It often leads to a decrease in network accuracy, which can be restored through fine-tuning. However, as the pruning ratio increases, it becomes progressively m…