On Interpretability of Artificial Neural Networks: A Survey

8 January 2020

Jinjun Xiong

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

29 / 29 papers shown

Title
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 Charles OÑeill David Klindt David Klindt 90 1 0 20 Nov 2024
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder Sina Saadati Mohammadreza Razzazi 21 0 0 30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 54 5 0 02 May 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 27 1 0 06 Mar 2024
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 26 0 0 20 Nov 2023
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 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 Hangcheng Dong Yuhao Jiang Yingyan Huang Jing-Xiao Liao Bingguo Liu Dong Ye Guodong Liu 10 1 0 04 Aug 2023
Model Doctor for Diagnosing and Treating Segmentation Error Zhijie Jia Lin Chen Kaiwen Hu Lechao Cheng Zunlei Feng Min-Gyoo Song 16 0 0 17 Feb 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei-Yue Wang 17 5 0 23 Jan 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 27 5 0 30 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 27 14 0 08 Nov 2022
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 13 0 0 31 Oct 2022
Explainable bilevel optimization: an application to the Helsinki deblur challenge S. Bonettini Giorgia Franchini Danilo Pezzi M. Prato 19 10 0 18 Oct 2022
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework Tingting Wu W. Wu Ying Yang Fenglei Fan T. Zeng 25 10 0 11 Oct 2022
A Survey of Neural Trees Haoling Li Jie Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 13 6 0 07 Sep 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising Dayang Wang Fenglei Fan Zhan Wu R. Liu Fei-Yue Wang Hengyong Yu ViT MedIm 26 121 0 28 Feb 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon S. Pokutta 27 11 0 15 Oct 2021
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 54 0 0 14 Oct 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 26 42 0 07 Feb 2021
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 20 167 0 22 Jun 2020
Deep Learning with Functional Inputs Barinder Thind Kevin Multani Jiguo Cao 11 21 0 17 Jun 2020
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 38 21 0 22 Nov 2018
Understanding Autoencoders with Information Theoretic Concepts Shujian Yu José C. Príncipe AI4CE 44 132 0 30 Mar 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,681 0 28 Feb 2017
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015