Deep Integrated Explanations-Reference-Cited by-同舟云学术

Deep Integrated Explanations

Published:2023-10-21 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Barkan Oren¹^ORCID,Elisha Yehonatan¹^ORCID,Weill Jonathan²^ORCID,Asher Yuval²^ORCID,Eshel Amit²^ORCID,Koenigstein Noam²^ORCID

Affiliation:

1. The Open University, Raanana, Israel

2. Tel Aviv University, Tel Aviv, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614836

Reference57 articles.

1. Samira Abnar and Willem Zuidema . 2020. Quantifying Attention Flow in Transformers. arXiv preprint arXiv:2005.00928 ( 2020 ). Samira Abnar and Willem Zuidema. 2020. Quantifying Attention Flow in Transformers. arXiv preprint arXiv:2005.00928 (2020).

2. Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt and Been Kim. 2018. Sanity checks for saliency maps. In Advances in Neural Information Processing Systems. 9505--9515. Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt and Been Kim. 2018. Sanity checks for saliency maps. In Advances in Neural Information Processing Systems. 9505--9515.

3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

4. Vijay Badrinarayanan , Alex Kendall , and Roberto Cipolla . 2017 . Segnet: A deep convolutional encoder-decoder architecture for image segmentation . IEEE transactions on pattern analysis and machine intelligence, Vol. 39 , 12 (2017), 2481--2495. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence, Vol. 39, 12 (2017), 2481--2495.

5. GAM