Explainable Neural Networks based on Additive Index Models

Explainable Neural Networks based on Additive Index Models

5 June 2018

Papers citing "Explainable Neural Networks based on Additive Index Models"

17 / 17 papers shown

Title
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features Konstandinos Kotsiopoulos A. Miroshnikov Khashayar Filom Arjun Ravi Kannan FAtt 23 3 0 17 Mar 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 29 30 0 25 Feb 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
On the explainability of quantum neural networks based on variational quantum circuits Ammar Daskin MLT FAtt 23 2 0 12 Jan 2023
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 20 6 0 07 Sep 2022
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models Linwei Hu Jie Chen V. Nair 36 3 0 14 Jul 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 33 3 0 16 Apr 2022
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 28 27 0 23 Jul 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
Neural Networks and Denotation E. Allen 22 0 0 15 Mar 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 119 0 21 Jan 2021
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
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Enhancing Explainability of Neural Networks through Architecture Constraints Zebin Yang Aijun Zhang Agus Sudjianto AAML 11 87 0 12 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 8 54 0 08 Jan 2019
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 23 54 0 18 Dec 2018
On the Art and Science of Machine Learning Explanations Patrick Hall FAtt XAI 25 30 0 05 Oct 2018