A Comparative Study of Rule Extraction for Recurrent Neural Networks

v1v2 (latest)

A Comparative Study of Rule Extraction for Recurrent Neural Networks

16 January 2018

Alexander Ororbia

Masashi Sugiyama

ArXiv (abs)PDF HTML

Papers citing "A Comparative Study of Rule Extraction for Recurrent Neural Networks"

5 / 5 papers shown

Title
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions S. Bhattamishra Arkil Patel Varun Kanade Phil Blunsom 123 49 0 22 Nov 2022
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 153 198 0 15 May 2021
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture Ikram Chraibi Kaadoud N. Rougier F. Alexandre 28 22 0 06 Dec 2019
State-Regularized Recurrent Neural Networks Cheng Wang Mathias Niepert 72 40 0 25 Jan 2019
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi Zhou AI4CE 83 70 0 25 Oct 2018