Weight Pruning via Adaptive Sparsity Loss

George Retsinas, Athena Elafrou, Georgios Goumas +1

Pruning neural networks has regained interest in recent years as a means to compress state-of-the-art deep neural networks and enable their deployment on resource-constrained devic…