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2102.06307
Cited By
What does LIME really see in images?
11 February 2021
Damien Garreau
Dina Mardaoui
FAtt
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Papers citing
"What does LIME really see in images?"
17 / 17 papers shown
Title
Study on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta
Elizaveta Kulicheva
Ronja Froelian
Christian Geißler
Xenia Melman
Julian von Klitzing
ELM
33
0
0
14 Oct 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Thomas Decker
Ananta R. Bhattarai
Jindong Gu
Volker Tresp
Florian Buettner
28
2
0
07 Jun 2024
CAM-Based Methods Can See through Walls
Magamed Taimeskhanov
R. Sicre
Damien Garreau
21
1
0
02 Apr 2024
Using Stratified Sampling to Improve LIME Image Explanations
Muhammad Rashid
E. Amparore
Enrico Ferrari
Damiano Verda
FAtt
17
2
0
26 Mar 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models
Lev V. Utkin
Danila Eremenko
A. Konstantinov
23
0
0
11 Dec 2023
GLIME: General, Stable and Local LIME Explanation
Zeren Tan
Yang Tian
Jian Li
FAtt
LRM
13
19
0
27 Nov 2023
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
20
0
0
22 Aug 2023
On the Robustness of Text Vectorizers
R. Catellier
Samuel Vaiter
Damien Garreau
OOD
26
2
0
09 Mar 2023
Stop overkilling simple tasks with black-box models and use transparent models instead
Matteo Rizzo
Matteo Marcuzzo
A. Zangari
A. Gasparetto
A. Albarelli
VLM
21
0
0
06 Feb 2023
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Misgina Tsighe Hagos
Kathleen M. Curran
Brian Mac Namee
20
10
0
15 Nov 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
Jiayun Luo
Boyang Albert Li
Cyril Leung
53
11
0
20 Oct 2022
The Manifold Hypothesis for Gradient-Based Explanations
Sebastian Bordt
Uddeshya Upadhyay
Zeynep Akata
U. V. Luxburg
FAtt
AAML
28
12
0
15 Jun 2022
How to scale hyperparameters for quickshift image segmentation
Damien Garreau
13
1
0
23 Jan 2022
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Lev V. Utkin
A. Konstantinov
Kirill Vishniakov
FAtt
29
5
0
16 Jun 2021
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
16
20
0
04 Mar 2021
An Analysis of LIME for Text Data
Dina Mardaoui
Damien Garreau
FAtt
134
45
0
23 Oct 2020
Looking Deeper into Tabular LIME
Damien Garreau
U. V. Luxburg
FAtt
LMTD
104
30
0
25 Aug 2020
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