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Oct 22, 2019In this paper, we focus on a popular and widely used method of XAI, the Layer-wise Relevance Propagation (LRP). Since its initial proposition ...
In this paper we investigate — and for the first time quantify — the effect of this current best practice on feedforward neural networks in a visual object ...
This chapter describes Layer-wise Relevance Propagation (LRP), a propagation-based explanation technique that can explain the decisions of a variety of ML ...
We investigate – and for the first time quantify – the effect of this current best practice on feedforward neural networks in a visual object detection setting.
Since its initial proposition LRP has evolved as a method, and a best practice for applying the method has tacitly emerged, based on humanly observed evidence.
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Oct 22, 2019In this paper, we focus on a popular and widely used method of XAI, the Layer-wise Relevance Propagation (LRP). Since its initial proposition ...
Jan 6, 2024Towards best practice in explaining neural network decisions with LRP. In 2020 International Joint Confer- ence on Neural Networks (IJCNN) ...
Layer-wise relevance propagation (LRP) is a recently proposed technique for explaining predictions of complex non-linear classifiers in terms of input variables ...
Towards best practice in explaining neural network decisions with LRP. M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin.
Towards Best Practice in Explaining Neural Network Decisions with LRP ... In this paper, we focus on a popular and widely used method of XAI, the Layer-wise ...