Oct 22, 2019 ¡¤ In this paper, we focus on a popular and widely used method of XAI, the Layer-wise Relevance Propagation (LRP). Since its initial proposition ...
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.
The results verify that the layer-dependent approach to LRP applied in recent literature better represents the model's reasoning, and at the same time ...
The LRP¢Ú-rule provides invariance to the decomposition process wrt. to translations in the input domain and effectively propagates relevance scores of higher ...
LRP differs from other techniques such as SA and LIME because it calculates explanations by considering the weights and inputs of each neural network layer [26] ...
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Oct 22, 2019 ¡¤ The LRP technique can be used to find relevant information the network is using, and when combined with the XAUG variables, can be used to rank ...
In this paper, we focus on a popular and widely used method of XAI, the Layer-wise Relevance Propagation (LRP). Ranked #1 on Object Detection on SIXray.
Recently, a technique called Layer-wise Relevance Propagation (LRP) was shown to deliver insightful explanations in the form of input space relevances for ...
Towards best practice in explaining neural network decisions with LRP. M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin. 2020 International ...
Towards best practice in explaining neural network decisions with LRP. M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin. 2020 International ...