5 citations · 5 across the 2 of their papers we have counts for
3 papers · 1 filter
On Correlation of Features Extracted by Deep Neural Networks
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada
Redundancy in deep neural network (DNN) models has always been one of their most intriguing and important properties. DNNs have been shown to overparameterize, or extract a lot of…
Diversity Regularized Adversarial Learning
Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada
The two key players in Generative Adversarial Networks (GANs), the discriminator and generator, are usually parameterized as deep neural networks (DNNs). On many generative tasks,…
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
Babajide O. Ayinde, Jacek M. Zurada
Unsupervised feature extractors are known to perform an efficient and discriminative representation of data. Insight into the mappings they perform and human ability to understand…