Enhancing Explainability of Neural Networks through Architecture
Constraints

Enhancing Explainability of Neural Networks through Architecture Constraints

12 January 2019

Papers citing "Enhancing Explainability of Neural Networks through Architecture Constraints"

14 / 14 papers shown

Title
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 31 0 0 20 Nov 2023
Attention Visualizer Package: Revealing Word Importance for Deeper Insight into Encoder-Only Transformer Models A. A. Falaki R. Gras ViT 26 7 0 28 Aug 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 22 3 0 16 Feb 2023
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance Dangxing Chen Luyao Zhang SyDa 30 6 0 17 Jan 2023
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 28 15 0 16 Oct 2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring Dangxing Chen Weicheng Ye FaML 34 13 0 21 Sep 2022
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME Niloofar Ranjbar Reza Safabakhsh FAtt 18 5 0 07 Apr 2022
Designing Inherently Interpretable Machine Learning Models Agus Sudjianto Aijun Zhang FaML 19 31 0 02 Nov 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 21 9 0 13 May 2021
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions Zebin Yang Aijun Zhang Agus Sudjianto FAtt 19 126 0 16 Mar 2020
Interpretation and Simplification of Deep Forest Sangwon Kim Mira Jeong ByoungChul Ko FAtt 19 8 0 14 Jan 2020
A Survey of Binary Code Similarity I. Haq Juan Caballero 13 133 0 25 Sep 2019
Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison J. Günther Elias Reichensdörfer P. Pilarski Klaus Diepold 4 1 0 30 May 2019