Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery

22 November 2016

Papers citing "Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery"

7 / 7 papers shown

Title
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 60 85 0 13 Oct 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi-An Ma 92 21 0 27 Oct 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 186 67 0 15 Aug 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 159 6,340 0 22 Oct 2019
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi Zhou AI4CE 75 69 0 25 Oct 2018
Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding Scott Wisdom Thomas Powers J. Pitton L. Atlas 63 21 0 21 Sep 2017