Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation

9 September 2021

Papers citing "Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation"

9 / 9 papers shown

Title
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models Mengdan Zhu Raasikh Kanjiani Jiahui Lu Andrew Choi Qirui Ye Liang Zhao DiffM 34 1 0 21 Jun 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 26 5 0 21 Mar 2024
SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation Bo Pan Zhenke Liu Yifei Zhang Liang Zhao 25 2 0 11 Oct 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 45 13 0 04 Jul 2023
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu Kazuto Fukuchi Youhei Akimoto Jun Sakuma 21 2 0 27 May 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 31 11 0 07 Nov 2022
ECLAD: Extracting Concepts with Local Aggregated Descriptors Andres Felipe Posada-Moreno N. Surya Sebastian Trimpe 20 13 0 09 Jun 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 62 35 0 19 Sep 2019