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Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery

Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery

22 November 2016
Scott Wisdom
Thomas Powers
J. Pitton
L. Atlas
ArXivPDFHTML

Papers citing "Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery"

5 / 5 papers shown
Title
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
33
55
0
05 Dec 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
37
6,111
0
22 Oct 2019
Learning with Interpretable Structure from Gated RNN
Learning with Interpretable Structure from Gated RNN
Bo-Jian Hou
Zhi-Hua Zhou
AI4CE
18
69
0
25 Oct 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
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