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

15 October 2021

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

8 / 8 papers shown

Title
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture Yikun Hou Suvrit Sra A. Yurtsever 29 0 0 28 Jan 2025
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang M. Sznaier Octavia Camps Octavia Camps Jennifer Dy AAML 18 0 0 14 Dec 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 11 7 0 09 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer S. Pokutta FAtt 10 4 0 01 Jun 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber S. Pokutta FAtt 23 8 0 23 Feb 2022
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 134 656 0 28 Dec 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,233 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017