2020
Data-Independent Neural Pruning via Coresets
ICLR 2020poster
Previous work showed empirically that large neural networks can be significantly reduced in size while preserving their accuracy. Model compression became a central research topic, as it is crucial for deployment of neural networks on devices with limited computational and memory resources. The majo…