Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
and Relevance Orderings

v1v2 (latest)

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings

15 October 2021

Mathieu Besançon

Sebastian Pokutta

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Papers citing "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings"

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Title
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture Yikun Hou Suvrit Sra A. Yurtsever 271 0 0 27 Jan 2025
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang Masih Eskandar Mario Sznaier Octavia Camps Jennifer Dy AAML 226 1 0 14 Dec 2022
Spatial-temporal Concept based Explanation of 3D ConvNetsComputer Vision and Pattern Recognition (CVPR), 2022 Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 128 12 0 09 Jun 2022
Interpretability Guarantees with Merlin-Arthur ClassifiersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer Sebastian Pokutta FAtt 259 7 0 01 Jun 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect FourInternational Conference on Machine Learning (ICML), 2022 S. Wäldchen Felix Huber Sebastian Pokutta FAtt 147 8 0 23 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,183 0 16 Feb 2016