换句话说,做一个attribution,就是过一遍反向传播。 Integrated Gradient IG其实就是vanilla gradient上了一个小trick。vanilla有一个致命问题:当输入特征的值很小时,梯度反而大;当输入特征的值很大时,梯度反而小。因此,对于输入特征值很大的情况,由于输出对输入的梯度变成0,我们很自然地发现原始的saliency map方法输出...
(2019). Gradient-Based Attribution Methods. In: Samek, W., Montavon, G., Vedaldi, A., Hansen, L., Müller, KR. (eds) Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Lecture Notes in Computer Science(), vol 11700. Springer, Cham. https://doi.org/10.1007/978-3...
In this work, we investigate whether gradient-based attribution methods, used to explain classifiers' decisions by identifying the most relevant features, can be used to help identify and select more robust algorithms. To this end, we propose to exploit two different metrics that represent the...
DeepExplain: attribution methods for Deep Learning DeepExplain provides a unified framework for state-of-the-art gradient and perturbation-based attribution methods. It can be used by researchers and practitioners for better undertanding the recommended existing models, as well for benchmarking other ...
Gradient-based attribution methods Saliency maps Gradient * Input Integrated Gradients DeepLIFT, in its first variant with Rescale rule (*) ε-LRP(*) Methods marked with (*) are implemented as modified chain-rule, as better explained inTowards better understanding of gradient-based attribution method...
《A unified view of gradient-based attribution methods for Deep Neural Networks》M Ancona, E Ceolini, C Öztireli, M Gross [ETH Zurich] (2017) O网页链接 GitHub: https:\//github.com\/marcoancona/DeepExplain 长图 标签: 论文 ...
In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving the performance and accuracy of the algorithm for solving complex optimization and engineering problems. The proposed IGBO has the added features of adjusting the best solution by adding inertia weight...
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Share and Cite MDPI and ACS Style Cinemre, I.; Mehmood, K.; Kralevska, K.; Mahmoodi, T. Gradient-Based ...
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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. History Date received : 3 February 2009 Date accepted : 24 March 2009 Categories...