Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations. The key idea is to rank the filters based on a certain criterion (say, …
