MODE: automated neural network model debugging via state differential analysis and input selection-Reference-Cited by-同舟云学术

MODE: automated neural network model debugging via state differential analysis and input selection

Published:2018-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Ma Shiqing¹,Liu Yingqi¹,Lee Wen-Chuan¹,Zhang Xiangyu¹,Grama Ananth¹

Affiliation:

1. Purdue University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3236024.3236082

Reference82 articles.

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3. Sanjeev Arora and Yi Zhang. 2017. Do GANs actually learn the distribution? an empirical study. arXiv:1706.08224 (2017). Sanjeev Arora and Yi Zhang. 2017. Do GANs actually learn the distribution? an empirical study. arXiv:1706.08224 (2017).

4. Ivan Beschastnikh Yuriy Brun Sigurd Schneider Michael Sloan and Michael D Ernst. 2011. Ivan Beschastnikh Yuriy Brun Sigurd Schneider Michael Sloan and Michael D Ernst. 2011.

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