Towards interpreting recurrent neural networks through probabilistic abstraction

• Main Authors: DONG, Guoliang, WANG, Jingyi, SUN, Jun, ZHANG, Yang, WANG, Xinyu, DAI, Ting, DONG, Jin Song, WANG, Xingen
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2020
• 主題: Abstraction; Interpretation; Probabilistic automata; Recurrent neural networks; Software Engineering
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/5947; https://ink.library.smu.edu.sg/context/sis_research/article/6950/viewcontent/1909.10023.pdf
• 機構: Singapore Management University

Neural networks are becoming a popular tool for solving many realworld problems such as object recognition and machine translation, thanks to its exceptional performance as an end-to-end solution. However, neural networks are complex black-box models, which hinders humans from interpreting and conse...