Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Jianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong. Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. In Yingxu Wang 0001, Konstantinos N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong, editors, 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2022, Toronto, ON, Canada, December 8-10, 2022. pages 9-15, IEEE, 2022. [doi]

The following publications are possibly variants of this publication:

Robust feature learning by stacked autoencoder with maximum correntropy criterionYu Qi, Yueming Wang, Xiaoxiang Zheng, Zhaohui Wu. icassp 2014: 6716-6720 [doi]

Robust Neural Networks Learning via a Minimization of Stochastic Output SensitivityJincheng Li, Wing W. Y. Ng. access, 8:205455-205466, 2020. [doi]

runs on WebDSL