Architecture Disentanglement for Deep Neural Networks

Architecture Disentanglement for Deep Neural Networks

30 March 2020

Liujuan Cao

Shengchuan Zhang

Papers citing "Architecture Disentanglement for Deep Neural Networks"

5 / 5 papers shown

Title
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 26 0 0 20 Nov 2023
Interpretable Disentangled Parametrization of Measured BRDF with $β$ -VAE A. Benamira Sachin Shah S. Pattanaik 14 3 0 08 Aug 2022
Disentangled Neural Architecture Search Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi AI4CE 22 4 0 24 Sep 2020
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 59 116 0 07 Jun 2018
Do semantic parts emerge in Convolutional Neural Networks? Abel Gonzalez-Garcia Davide Modolo V. Ferrari 152 113 0 13 Jul 2016