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CLIP-QDA: An Explainable Concept Bottleneck Model
v1v2v3 (latest)

CLIP-QDA: An Explainable Concept Bottleneck Model

30 November 2023
Rémi Kazmierczak
Eloise Berthier
Nicolas Bousquet
Andrea Passerini
ArXiv (abs)PDFHTML

Papers citing "CLIP-QDA: An Explainable Concept Bottleneck Model"

7 / 7 papers shown
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
Rémi Kazmierczak
Steve Azzolin
Eloise Berthier
Goran Frehse
Gianni Franchi
167
0
0
08 Oct 2025
Benchmarking XAI Explanations with Human-Aligned Evaluations
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak
Steve Azzolin
Eloise Berthier
Anna Hedström
Patricia Delhomme
...
Goran Frehse
Baptiste Caramiaux
Baptiste Caramiaux
Andrea Passerini
Gianni Franchi
436
5
0
04 Nov 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert
  Rules
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules
Lev V. Utkin
A. Konstantinov
Stanislav R. Kirpichenko
325
1
0
28 Jun 2024
Conceptual Learning via Embedding Approximations for Reinforcing
  Interpretability and Transparency
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter
Tsachi Blau
Chaim Baskin
310
0
0
13 Jun 2024
Incorporating Expert Rules into Neural Networks in the Framework of
  Concept-Based Learning
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
A. Konstantinov
Lev V. Utkin
237
5
0
22 Feb 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
3.8K
29,550
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,701
0
16 Feb 2016
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