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A Comparative Study of Rule Extraction for Recurrent Neural Networks

A Comparative Study of Rule Extraction for Recurrent Neural Networks

16 January 2018
Qinglong Wang
Kaixuan Zhang
Alexander Ororbia
Masashi Sugiyama
Xue Liu
C. Lee Giles
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Papers citing "A Comparative Study of Rule Extraction for Recurrent Neural Networks"

3 / 3 papers shown
Title
Simplicity Bias in Transformers and their Ability to Learn Sparse
  Boolean Functions
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
S. Bhattamishra
Arkil Patel
Varun Kanade
Phil Blunsom
22
46
0
22 Nov 2022
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
XAI
34
184
0
15 May 2021
Learning with Interpretable Structure from Gated RNN
Learning with Interpretable Structure from Gated RNN
Bo-Jian Hou
Zhi-Hua Zhou
AI4CE
21
69
0
25 Oct 2018
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