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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Bibliographic Details
Main Authors: BUI, Duy Quoc Nghi, YU, Yijun, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access: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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Institution: Singapore Management University
Language: English
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