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Found 3 papers, 3 papers with code
Shapley Value as Principled Metric for Structured Network Pruning
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.
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
The problem of explaining the behavior of deep neural networks has recently gained a lot of attention.
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years.
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