2022
Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction
CVPR 2022poster
Dynamic model pruning is a recent direction that allows for the inference of a different sub-network for each input sample during deployment. However, current dynamic methods rely on learning a continuous channel gating through regularization by inducing sparsity loss. This formulation introduces co…