Explaining Neural Networks by Decoding Layer Activations-Reference-Cited by-同舟云学术

Explaining Neural Networks by Decoding Layer Activations

Published:2021 Issue: Volume: Page:63-75
ISSN:0302-9743
Container-title:Advances in Intelligent Data Analysis XIX
language:
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Author:

Schneider Johannes,Vlachos Michalis

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74251-5_6

Reference21 articles.

1. Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., Kim, B.: Sanity checks for saliency maps. In: Neural Information Processing Systems (2018)

2. Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.R., Samek, W.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PloS one 10(7), e0130140 (2015)

3. Baldi, P., Hornik, K.: Neural networks and principal component analysis: Learning from examples without local minima. Neural Netw. 2(1), 53–58 (1989)

4. Lecture Notes in Computer Science;J van Doorenmalen,2020

5. Ghorbani, A., Abid, A., Zou, J.: Interpretation of neural networks is fragile. In: AAAI Conference on Artificial Intelligence (2019)

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