1 code implementation • 2 Jun 2020 • Marco Ancona, Cengiz Öztireli, Markus Gross
The usual pruning pipeline consists of ranking the network internal filters and activations with respect to their contributions to the network performance, removing the units with the lowest contribution, and fine-tuning the network to reduce the harm induced by pruning.
1 code implementation • 26 Mar 2019 • Marco Ancona, Cengiz Öztireli, Markus Gross
The problem of explaining the behavior of deep neural networks has recently gained a lot of attention.
2 code implementations • ICLR 2018 • Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross
Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years.