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Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off

M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
Michelangelo Diligenti
Z. Shams
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
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Papers citing "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off"

3 / 3 papers shown
Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
X. Li
49
9
0
03 Jan 2025
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Biwei Huang
Eric P. Xing
Yuejie Chi
Kun Zhang
36
4
0
01 Jun 2024
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
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
115
293
0
17 Oct 2019