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Learning with Explanation Constraints

Learning with Explanation Constraints

25 March 2023
Rattana Pukdee
Dylan Sam
J. Zico Kolter
Maria-Florina Balcan
Pradeep Ravikumar
    FAtt
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Papers citing "Learning with Explanation Constraints"

7 / 7 papers shown
Title
Finetuning CLIP to Reason about Pairwise Differences
Finetuning CLIP to Reason about Pairwise Differences
Dylan Sam
Devin Willmott
João Dias Semedo
J. Zico Kolter
VLM
61
3
0
15 Sep 2024
Towards a general framework for improving the performance of classifiers
  using XAI methods
Towards a general framework for improving the performance of classifiers using XAI methods
Andrea Apicella
Salvatore Giugliano
Francesco Isgrò
R. Prevete
17
0
0
15 Mar 2024
Bayesian Neural Networks with Domain Knowledge Priors
Bayesian Neural Networks with Domain Knowledge Priors
Dylan Sam
Rattana Pukdee
Daniel P. Jeong
Yewon Byun
J. Zico Kolter
BDL
UQCV
30
9
0
20 Feb 2024
Saliency strikes back: How filtering out high frequencies improves
  white-box explanations
Saliency strikes back: How filtering out high frequencies improves white-box explanations
Sabine Muzellec
Thomas Fel
Victor Boutin
Léo Andéol
R. V. Rullen
Thomas Serre
FAtt
22
0
0
18 Jul 2023
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
32
9
0
07 Oct 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
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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