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05/08/2023
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Conformer-based models have become the most dominant end-to-end architec...
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05/07/2023
Leveraging Synthetic Targets for Machine Translation
In this work, we provide a recipe for training machine translation model...
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06/02/2022
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation
General translation models often still struggle to generate accurate tra...
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11/16/2021
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
This paper provides an overview of NVIDIA NeMo's neural machine translat...
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10/23/2019
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model
In this work, we introduce a simple yet efficient post-processing model ...
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09/14/2019
NeMo: a toolkit for building AI applications using Neural Modules
NeMo (Neural Modules) is a Python framework-agnostic toolkit for creatin...
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05/27/2019
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
We propose NovoGrad, a first-order stochastic gradient method with layer...
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02/28/2019
Catalyst.RL: A Distributed Framework for Reproducible RL Research
Despite the recent progress in deep reinforcement learning field (RL), a...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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01/30/2019
Generalized Tensor Models for Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are very successful at solving challeng...
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01/30/2019
Tensorized Embedding Layers for Efficient Model Compression
The embedding layers transforming input words into real vectors are the ...
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04/26/2017