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A comprehensive study on deep learning bug characteristics.

, , , и . ESEC/SIGSOFT FSE, стр. 510-520. ACM, (2019)

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Weiqing Pan

Alexey Pan

Xiaoqing Pan

Petra Pan

Yaling Pan

 

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Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis., , , , , и . ICSE, стр. 785-796. IEEE, (2021)Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement., , , , , и . ICSE, стр. 1020-1032. IEEE, (2023)Does fixing bug increase robustness in deep learning?. ICSE (Companion Volume), стр. 146-148. ACM, (2020)Identifying Classes Susceptible to Adversarial Attacks., , , и . CoRR, (2019)Repairing deep neural networks: fix patterns and challenges., , , и . ICSE, стр. 1135-1146. ACM, (2020)Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code., , , , , , , , , и . ICSE, стр. 82:1-82:13. ACM, (2024)Static deep neural network analysis for robustness.. ESEC/SIGSOFT FSE, стр. 1238-1240. ACM, (2019)A comprehensive study on deep learning bug characteristics., , , и . ESEC/SIGSOFT FSE, стр. 510-520. ACM, (2019)Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules., и . ICSE, стр. 524-535. ACM, (2022)Manas: Mining Software Repositories to Assist AutoML., , , и . ICSE, стр. 1368-1380. ACM, (2022)