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Enhancing Decision Tree based Interpretation of Deep Neural Networks
  through L1-Orthogonal Regularization
v1v2 (latest)

Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization

10 April 2019
Nina Schaaf
Marco F. Huber
Johannes Maucher
ArXiv (abs)PDFHTML

Papers citing "Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization"

7 / 7 papers shown
Title
Logical Distillation of Graph Neural Networks
Logical Distillation of Graph Neural Networks
Alexander Pluska
Pascal Welke
Thomas Gärtner
Sagar Malhotra
79
2
0
11 Jun 2024
Interpreting Neural Policies with Disentangled Tree Representations
Interpreting Neural Policies with Disentangled Tree Representations
Tsun-Hsuan Wang
Wei Xiao
Tim Seyde
Ramin Hasani
Daniela Rus
DRL
111
2
0
13 Oct 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Mingli Song
AI4CE
102
6
0
07 Sep 2022
NN2Rules: Extracting Rule List from Neural Networks
NN2Rules: Extracting Rule List from Neural Networks
G. R. Lal
Varun Mithal
42
2
0
04 Jul 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees
Peter Müller
Lukas Faber
Karolis Martinkus
Roger Wattenhofer
93
8
0
26 May 2022
A Survey on the Explainability of Supervised Machine Learning
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart
Marco F. Huber
FaMLXAI
77
781
0
16 Nov 2020
ERIC: Extracting Relations Inferred from Convolutions
ERIC: Extracting Relations Inferred from Convolutions
Joe Townsend
Theodoros Kasioumis
Hiroya Inakoshi
NAIFAtt
82
16
0
19 Oct 2020
1