Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization

Feature visualization has gained substantial popularity, particularly after the influential work by Olah et al. in 2017, which established it as a crucial tool for explainability. However, its widespread adoption has been limited due to a reliance on tricks to generate interpretable images, and corr...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Fel, Thomas, Boissin, Thibaut, Boutin, Victor, Picard, Agustin, Novello, Paul, Julien, Colin, Linsley, Drew, Rousseau, Tom, Cadène, Rémi, Goetschalckx, Lore, Gardes, Laurent, Serre, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Neural networks Optimization Visualization
Online-Zugang:	Volltext
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