JournalProceedings of the IEEE2021
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, et al.
A comprehensive review of post-hoc explainability methods for deep neural networks, covering theory, comparative evaluation, best practices, and applications.
1.3kMar 1, 2021Attention MechanismsNeural Networks