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LRP-Time-Series

Python implementation of the LRP method that is a novel methodology for interpreting generic multilayer neural networks by decomposing the network classification decision into contributions of its input elements.

Dataset & Preprocessing

Korean Movie Review Dataset NSMC Dataset

Reference Code

Based on code by Leila Arras

Reference Paper

"Explaining nonlinear classification decisions with deep taylor decomposition". Gregoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, and Klaus-Robert Muller (https://arxiv.org/abs/1512.02479)

Requirements

  • tensorflow (1.9.0)
  • numpy (1.15.0)
  • matplotlib (2.2.2)
  • scikit-learn (0.19.1)

License

Apache License 2.0

Contacts

If you have any question, please contact Sohee Cho (shcho@unist.ac.kr).



XAI Project

This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)

  • Project Name : A machine learning and statistical inference framework for explainable artificial intelligence (의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)

  • Managed by Ministry of Science and ICT/XAIC

  • Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics

  • Web Site : http://openXai.org