Variational dropout sparsifies DNNs paper has been accepted to ICML'17
The paper authored by laboratory's research assistants Dmitry Molchanov and Arsenii Ashukha and head Dmitry Vetrov has been accepted to the International Conference on Machine Learning'2017. In this research a state-of-the-art result in deep neural networks sparsification was achieved using Bayesian framework applied to deep learning.
14 May
2017