4 citations · 6 across the 2 of their papers we have counts for
2 papers
eess.AS2020★ 4 cited
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data
Vincent Roger, Jérôme Farinas, Julien Pinquier
Most state-of-the-art speech systems are using Deep Neural Networks (DNNs). Those systems require a large amount of data to be learned. Hence, learning state-of-the-art frameworks…
stat.ML2017★ 2 cited
Semi-Supervised Learning via New Deep Network Inversion
Randall Balestriero, Vincent Roger, Herve G. Glotin +1
We exploit a recently derived inversion scheme for arbitrary deep neural networks to develop a new semi-supervised learning framework that applies to a wide range of systems and pr…