Adaptive Search-based Repair of Deep Neural Networks-Reference-Cited by-同舟云学术

Adaptive Search-based Repair of Deep Neural Networks

Published:2023-07-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Li Calsi Davide¹^ORCID,Duran Matias²^ORCID,Laurent Thomas³^ORCID,Zhang Xiao-Yi⁴^ORCID,Arcaini Paolo²^ORCID,Ishikawa Fuyuki²^ORCID

Affiliation:

1. Technical University of Munich, Munich, Germany

2. National Institute of Informatics, Tokyo, Japan

3. National Institute of Informatics, JSPS International Research Fellow, Tokyo, Japan

4. University of Science and Technology Beijing, Beijing, China

Funder

JST-Mirai Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583131.3590477

Reference49 articles.

1. An Evaluation of Similarity Coefficients for Software Fault Localization

2. A practical guide for using statistical tests to assess randomized algorithms in software engineering

3. Spectrum-based fault localization in software product lines

4. Mariusz Bojarski , Davide Del Testa , Daniel Dworakowski, Bernhard Firner , Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016 . End to End Learning for Self-Driving Cars. CoRR abs/1604.07316 (2016). arXiv:1604.07316 http://arxiv.org/abs/1604.07316 Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs/1604.07316 (2016). arXiv:1604.07316 http://arxiv.org/abs/1604.07316

5. DeepFD

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. Federated Repair of Deep Neural Networks;Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning;2024-04-20

3. More is Not Always Better: Exploring Early Repair of DNNs;Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning;2024-04-20

4. Technical Briefing on Deep Neural Network Repair;Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings;2024-04-14

5. A Post-Training Framework for Improving the Performance of Deep Learning Models via Model Transformation;ACM Transactions on Software Engineering and Methodology;2023-10-23