GAM-Reference-Cited by-同舟云学术

GAM

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Barkan Oren¹,Armstrong Omri²,Hertz Amir³,Caciularu Avi⁴,Katz Ori⁵,Malkiel Itzik⁶,Koenigstein Noam⁶

Affiliation:

1. The Open University & Microsoft, Raanana, Israel

2. Tel-Aviv University, Tel-Aviv, Israel

3. Microsoft, Herzliya, Israel

4. Bar-Ilan University, Ramat Gan, Israel

5. Technion & Microsoft, Haifa, Israel

6. Microsoft & Tel-Aviv University, Tel-Aviv, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482430

Reference32 articles.

1. 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.

2. Emanuel Ben-Baruch Tal Ridnik Nadav Zamir Asaf Noy Itamar Friedman Matan Protter and Lihi Zelnik-Manor. 2020. Asymmetric Loss For Multi-Label Classification. arXiv:2009.14119 [cs.CV] Emanuel Ben-Baruch Tal Ridnik Nadav Zamir Asaf Noy Itamar Friedman Matan Protter and Lihi Zelnik-Manor. 2020. Asymmetric Loss For Multi-Label Classification. arXiv:2009.14119 [cs.CV]

3. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

4. Adapting Grad-CAM for Embedding Networks

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