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On Interpretability of Artificial Neural Networks: A Survey

On Interpretability of Artificial Neural Networks: A Survey

8 January 2020
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
    AAML
    AI4CE
ArXivPDFHTML

Papers citing "On Interpretability of Artificial Neural Networks: A Survey"

25 / 25 papers shown
Title
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Emré Anakok
Pierre Barbillon
Colin Fontaine
Elisa Thébault
47
0
0
19 Mar 2025
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Charles OÑeill
David Klindt
David Klindt
84
1
0
20 Nov 2024
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for
  Detecting Muscles Disorder
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder
Sina Saadati
Mohammadreza Razzazi
16
0
0
30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
62
28
0
30 Aug 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
52
5
0
02 May 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
22
1
0
06 Mar 2024
AI-based association analysis for medical imaging using latent-space geometric confounder correction
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Bo-wen Li
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
24
0
0
03 Oct 2023
Knowledge-tuning Large Language Models with Structured Medical Knowledge
  Bases for Reliable Response Generation in Chinese
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Hao Wang
Sendong Zhao
Zewen Qiang
Zijian Li
Nuwa Xi
...
Haoqiang Guo
Yuhan Chen
Haoming Xu
Bing Qin
Ting Liu
LM&MA
AI4MH
24
16
0
08 Sep 2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic
  Information in Shallow Layers by Reducing Noise
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
Hangcheng Dong
Yuhao Jiang
Yingyan Huang
Jing-Xiao Liao
Bingguo Liu
Dong Ye
Guodong Liu
8
0
0
04 Aug 2023
Model Doctor for Diagnosing and Treating Segmentation Error
Model Doctor for Diagnosing and Treating Segmentation Error
Zhijie Jia
Lin Chen
Kaiwen Hu
Lechao Cheng
Zunlei Feng
Min-Gyoo Song
11
0
0
17 Feb 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural
  Networks
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
Fenglei Fan
Yingxin Li
Hanchuan Peng
T. Zeng
Fei-Yue Wang
9
5
0
23 Jan 2023
Interpretability with full complexity by constraining feature
  information
Interpretability with full complexity by constraining feature information
Kieran A. Murphy
Danielle Bassett
FAtt
9
5
0
30 Nov 2022
Confidence-Nets: A Step Towards better Prediction Intervals for
  regression Neural Networks on small datasets
Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets
M. Altayeb
A. Elamin
Hozaifa Ahmed
Eithar Elfatih Elfadil Ibrahim
Omer Haydar
Saba Abdulaziz
Najlaa H. M. Mohamed
UQCV
11
0
0
31 Oct 2022
Explainable bilevel optimization: an application to the Helsinki deblur
  challenge
Explainable bilevel optimization: an application to the Helsinki deblur challenge
S. Bonettini
Giorgia Franchini
Danilo Pezzi
M. Prato
12
10
0
18 Oct 2022
Retinex Image Enhancement Based on Sequential Decomposition With a
  Plug-and-Play Framework
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
Tingting Wu
W. Wu
Ying Yang
Fenglei Fan
T. Zeng
23
10
0
11 Oct 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed
C. Omlin
XAI
34
414
0
11 Nov 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
S. Pokutta
24
11
0
15 Oct 2021
Training Neural Networks for Solving 1-D Optimal Piecewise Linear
  Approximation
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation
Hangcheng Dong
Jing-Xiao Liao
Yan Wang
Yixin Chen
Bingguo Liu
Dong Ye
Guodong Liu
34
0
0
14 Oct 2021
Damage detection using in-domain and cross-domain transfer learning
Damage detection using in-domain and cross-domain transfer learning
Z. Bukhsh
N. Jansen
Aaqib Saeed
19
42
0
07 Feb 2021
Convolutional-network models to predict wall-bounded turbulence from
  wall quantities
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni
A. Güemes
A. Ianiro
S. Discetti
P. Schlatter
Hossein Azizpour
R. Vinuesa
18
167
0
22 Jun 2020
Deep Learning with Functional Inputs
Deep Learning with Functional Inputs
Barinder Thind
Kevin Multani
Jiguo Cao
9
20
0
17 Jun 2020
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
18
21
0
22 Nov 2018
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
41
132
0
30 Mar 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
114
577
0
27 Feb 2015
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