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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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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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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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04/05/2021
SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
In the English speech-to-text (STT) machine learning task, acoustic mode...
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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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04/05/2019
Jasper: An End-to-End Convolutional Neural Acoustic Model
In this paper, we report state-of-the-art results on LibriSpeech among e...
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05/25/2018
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models
We present OpenSeq2Seq -- an open-source toolkit for training sequence-t...
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10/10/2017
Mixed Precision Training
Deep neural networks have enabled progress in a wide variety of applicat...
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08/05/2017
Training Deep AutoEncoders for Collaborative Filtering
This paper proposes a novel model for the rating prediction task in reco...
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03/31/2017
