AutoFocus: Interpreting attention-based neural networks by code perturbation
Despite being adopted in software engineering tasks, deep neural networks are treated mostly as a black box due to the difficulty in interpreting how the networks infer the outputs from the inputs. To address this problem, we propose AutoFocus, an automated approach for rating and visualizing the im...
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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2019
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/4817 https://ink.library.smu.edu.sg/context/sis_research/article/5820/viewcontent/ase19autofocus.pdf |
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