2 papers
cs.LG2023
Error Feedback Can Accurately Compress Preconditioners
Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic +2
Leveraging second-order information about the loss at the scale of deep networks is one of the main lines of approach for improving the performance of current optimizers for deep l…
eess.AS2021
CarneliNet: Neural Mixture Model for Automatic Speech Recognition
Aleksei Kalinov, Somshubra Majumdar, Jagadeesh Balam +1
End-to-end automatic speech recognition systems have achieved great accuracy by using deeper and deeper models. However, the increased depth comes with a larger receptive field tha…