Search Results for author:
Found 2 papers, 0 papers with code
Neurogenesis Deep Learning
Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks.
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory
Furthermore, we propose a perturbation model for the effect of general perturbations, such as a compression, on the recurrent parameters of RNNs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
