Implementation of the filter sparsity methods Only Train Once (OTO), Network Slimming (NS) and Polarization Pruning for LeNet5. The performance is benchmarked using the FashionMNIST dataset.
The code for NS and Polarization Pruning for LeNet5 was built/adapted based on the official implementation of these methods.