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Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting

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Jan 18, 2024
Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming, Jiang

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A Survey on Query-based API Recommendation

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Dec 21, 2023
Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Ming Zhen, Jiang

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Studying the Practices of Testing Machine Learning Software in the Wild

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Dec 19, 2023
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming, Jiang, Mouna Abidi, Ahmed E. Hassan

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Bug Characterization in Machine Learning-based Systems

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Jul 26, 2023
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming, Jiang

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A Cross-direction Task Decoupling Network for Small Logo Detection

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May 04, 2023
Hou, Sujuan, Li, Xingzhuo, Min, Weiqing, Li, Jiacheng, Wang, Jing, Zheng, Yuanjie, Jiang, Shuqiang

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Balanced Contrastive Learning for Long-Tailed Visual Recognition

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Jul 19, 2022
Jianggang, Zhu, Zheng, Wang, Jingjing, Chen, Yi-Ping Phoebe, Chen, Yu-Gang, Jiang

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GitHub Copilot AI pair programmer: Asset or Liability?

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Jun 30, 2022
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming, Jiang

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An Empirical Study of Challenges in Converting Deep Learning Models

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Jun 28, 2022
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming, Jiang

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Bugs in Machine Learning-based Systems: A Faultload Benchmark

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Jun 24, 2022
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming, Jiang

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Towards a Change Taxonomy for Machine Learning Systems

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Mar 21, 2022
Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming, Jiang, Bram Adams

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