PR-DARTS: Pruning-Based Differentiable Architecture Search

This work proposes two novel PrunedConv and PrunedLinear operations that mitigate the problem of unstable gradients by regularizing the objective function of the pruned networks and outperforms those used in the state-of-the-art pruning networks on CIFAR-10 and ImageNet.