On the Concept Trustworthiness in Concept Bottleneck Models

21 March 2024

Papers citing "On the Concept Trustworthiness in Concept Bottleneck Models"

7 / 7 papers shown

Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 38 0 0 09 May 2025
Leakage and Interpretability in Concept-Based Models Enrico Parisini Tapabrata Chakraborti Chris Harbron Ben D. MacArthur Christopher R. S. Banerji 40 0 0 18 Apr 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning Zhijie Zhu Lei Fan M. Pagnucco Yang Song 41 0 0 13 Mar 2025
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang Jie Song Mengqi Xue H. Zhang Bingde Hu Huiqiong Wang Hao Jiang Xingen Wang Xiuming Zhang VLM 29 0 0 14 Oct 2024
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency Maor Dikter Tsachi Blau Chaim Baskin 41 0 0 13 Jun 2024
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features? Jack Furby Daniel Cunnington Dave Braines Alun D. Preece 35 3 0 01 Feb 2024
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 99 0 06 Dec 2021