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Cartoon Explanations of Image Classifiers
v1v2v3v4v5 (latest)

Cartoon Explanations of Image Classifiers

7 October 2021
Stefan Kolek
Duc Anh Nguyen
Ron Levie
Joan Bruna
Gitta Kutyniok
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Cartoon Explanations of Image Classifiers"

14 / 14 papers shown
On Spectral Properties of Gradient-based Explanation Methods
On Spectral Properties of Gradient-based Explanation MethodsEuropean Conference on Computer Vision (ECCV), 2025
Amir Mehrpanah
Erik Englesson
Hossein Azizpour
FAtt
195
1
0
14 Aug 2025
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Yiran Qiao
Disheng Liu
Yiren Lu
Yu Yin
Mengnan Du
Jing Ma
GANCMLAAML
324
1
0
14 Jul 2025
Direct Preference Optimization for Adaptive Concept-based Explanations
Direct Preference Optimization for Adaptive Concept-based Explanations
Jacopo Teneggi
Zhenzhen Wang
Paul H. Yi
Tianmin Shu
Jeremias Sulam
588
0
0
21 May 2025
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large InfrastructuresEngineering applications of artificial intelligence (EAAI), 2025
Giovanni Floreale
Piero Baraldi
Enrico Zio
Olga Fink
315
3
0
19 Mar 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
Haosheng Zhang
Hao Huang
373
0
0
06 Jan 2025
Sufficient and Necessary Explanations (and What Lies in Between)
Sufficient and Necessary Explanations (and What Lies in Between)
Beepul Bharti
Paul H. Yi
Jeremias Sulam
XAIFAtt
490
4
0
30 Sep 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Róisín Luo
James McDermott
C. O'Riordan
AAML
522
2
0
02 Aug 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
284
8
0
12 Jun 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
3VL: Using Trees to Improve Vision-Language Models' InterpretabilityIEEE Transactions on Image Processing (IEEE TIP), 2023
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGeVLM
682
8
0
28 Dec 2023
Adversarial Counterfactual Visual Explanations
Adversarial Counterfactual Visual ExplanationsComputer Vision and Pattern Recognition (CVPR), 2023
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
361
53
0
17 Mar 2023
Explaining Image Classifiers with Multiscale Directional Image
  Representation
Explaining Image Classifiers with Multiscale Directional Image RepresentationComputer Vision and Pattern Recognition (CVPR), 2022
Stefan Kolek
Robert Windesheim
Héctor Andrade-Loarca
Gitta Kutyniok
Ron Levie
298
8
0
22 Nov 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi
Beepul Bharti
Yaniv Romano
Jeremias Sulam
FAtt
553
10
0
14 Jul 2022
A Rate-Distortion Framework for Explaining Black-box Model Decisions
A Rate-Distortion Framework for Explaining Black-box Model Decisions
Stefan Kolek
Duc Anh Nguyen
Ron Levie
Joan Bruna
Gitta Kutyniok
210
16
0
12 Oct 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,148
0
16 Feb 2016
1
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