Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure

13 June 2022

Papers citing "Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure"

21 / 21 papers shown

Title
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework Ankit Amrutkar Björn Kampa Volkmar Schulz Johannes Stegmaier Markus Rothermel Dorit Merhof 23 0 0 30 Apr 2025
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Qichuan Geng Xiaochun Cao FAtt 82 4 0 25 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 42 2 0 06 Nov 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 54 0 0 10 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 35 0 0 02 Oct 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach David Bertoin Eduardo Hugo Sanchez Mehdi Zouitine Emmanuel Rachelson 45 0 0 25 Sep 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 40 6 0 08 Jul 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 46 6 0 18 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 40 0 0 08 Jun 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 31 3 0 15 Feb 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 18 1 0 19 Jan 2024
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 16 2 0 09 Aug 2023
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 32 0 0 18 Jul 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 24 19 0 11 Jun 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 16 51 0 11 Jun 2023
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc FAtt 18 3 0 24 May 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? Victor Boutin Thomas Fel Lakshya Singhal Rishav Mukherji Akash Nagaraj Julien Colin Thomas Serre DiffM 30 6 0 27 Jan 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 19 103 0 17 Nov 2022
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis Thomas Fel Mélanie Ducoffe David Vigouroux Rémi Cadène Mikael Capelle C. Nicodeme Thomas Serre AAML 26 41 0 15 Feb 2022
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 33 101 0 06 Dec 2021
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 120 60 0 07 Nov 2021