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Selective Concept Models: Permitting Stakeholder Customisation at
  Test-Time

Selective Concept Models: Permitting Stakeholder Customisation at Test-Time

14 June 2023
Matthew Barker
Katherine M. Collins
Krishnamurthy Dvijotham
Adrian Weller
Umang Bhatt
ArXivPDFHTML

Papers citing "Selective Concept Models: Permitting Stakeholder Customisation at Test-Time"

8 / 8 papers shown
Title
Estimation of Concept Explanations Should be Uncertainty Aware
Estimation of Concept Explanations Should be Uncertainty Aware
Vihari Piratla
Juyeon Heo
Katherine M. Collins
Sukriti Singh
Adrian Weller
26
1
0
13 Dec 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models
Learning to Receive Help: Intervention-Aware Concept Embedding Models
M. Zarlenga
Katherine M. Collins
Krishnamurthy Dvijotham
Adrian Weller
Z. Shams
M. Jamnik
24
23
0
29 Sep 2023
Human Uncertainty in Concept-Based AI Systems
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins
Matthew Barker
M. Zarlenga
Naveen Raman
Umang Bhatt
M. Jamnik
Ilia Sucholutsky
Adrian Weller
Krishnamurthy Dvijotham
66
39
0
22 Mar 2023
Concept Activation Regions: A Generalized Framework For Concept-Based
  Explanations
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations
Jonathan Crabbé
M. Schaar
59
46
0
22 Sep 2022
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
...
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio
M. Jamnik
79
52
0
19 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
106
64
0
31 May 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Zou
145
185
0
31 May 2022
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
122
297
0
17 Oct 2019
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