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Tag "deep learning"

Illustration for news: Two papers were accepted to NAACL 2021

Two papers were accepted to NAACL 2021

Статьи Надежды Чирковой и Сергея Трошина приняты в программу конференции NAACL, одной из ведущих по тематике обработки естественного языка.

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.


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