48 citations · 83 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 6 cited
Shapley Value as Principled Metric for Structured Network Pruning
Marco Ancona, Cengiz Öztireli, Markus Gross
Structured pruning is a well-known technique to reduce the storage size and inference cost of neural networks. The usual pruning pipeline consists of ranking the network internal f…
cs.LG2019★ 48 cited
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
Marco Ancona, Cengiz Öztireli, Markus Gross
The problem of explaining the behavior of deep neural networks has recently gained a lot of attention. While several attribution methods have been proposed, most come without stron…
cs.LG2017★ 29 cited
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli +1
Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years. While several methods have…