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COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable
  ELements for explaining neural net classifiers on NLP tasks

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks

11 May 2023
Fanny Jourdan
Agustin Picard
Thomas Fel
Laurent Risser
Jean-Michel Loubes
Nicholas M. Asher
ArXivPDFHTML

Papers citing "COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks"

4 / 4 papers shown
Title
Latent Concept-based Explanation of NLP Models
Latent Concept-based Explanation of NLP Models
Xuemin Yu
Fahim Dalvi
Nadir Durrani
Marzia Nouri
Hassan Sajjad
LRM
FAtt
29
1
0
18 Apr 2024
Look at the Variance! Efficient Black-box Explanations with Sobol-based
  Sensitivity Analysis
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas Fel
Rémi Cadène
Mathieu Chalvidal
Matthieu Cord
David Vigouroux
Thomas Serre
MLAU
FAtt
AAML
114
58
0
07 Nov 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
200
296
0
15 Oct 2012
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