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Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
19 September 2022
M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
Michelangelo Diligenti
Z. Shams
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
Re-assign community
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Papers citing
"Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off"
9 / 9 papers shown
Title
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu
Y. Hu
Hui Tang
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
50
0
0
08 May 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
53
2
0
16 Feb 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
X. Li
66
9
0
03 Jan 2025
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Biwei Huang
Eric P. Xing
Yuejie Chi
Kun Zhang
52
4
0
01 Jun 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
38
1
0
02 May 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
27
5
0
11 Mar 2024
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance
Shantanu Ghosh
Kayhan Batmanghelich
20
0
0
07 Jul 2023
Learning with Explanation Constraints
Rattana Pukdee
Dylan Sam
J. Zico Kolter
Maria-Florina Balcan
Pradeep Ravikumar
FAtt
24
6
0
25 Mar 2023
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
120
297
0
17 Oct 2019
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