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Towards a Deeper Understanding of Concept Bottleneck Models Through
  End-to-End Explanation

Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation

7 February 2023
Jack Furby
Daniel Cunnington
Dave Braines
Alun D. Preece
ArXivPDFHTML

Papers citing "Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation"

4 / 4 papers shown
Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
Nicola Debole
Pietro Barbiero
Francesco Giannini
Andrea Passerini
Stefano Teso
Emanuele Marconato
128
0
0
28 Apr 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Yuxuan Cai
X. Wang
Satoshi Tsutsui
Winnie Pang
Bihan Wen
60
0
0
03 Feb 2025
On the Concept Trustworthiness in Concept Bottleneck Models
On the Concept Trustworthiness in Concept Bottleneck Models
Qihan Huang
Jie Song
Jingwen Hu
Haofei Zhang
Yong Wang
Mingli Song
33
9
0
21 Mar 2024
Can we Constrain Concept Bottleneck Models to Learn Semantically
  Meaningful Input Features?
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
1