Minh-Thang Luong
Minh-Thang Luong
Senior Research Scientist at Google
Verified email at google.com - Homepage
Cited by
Cited by
Effective approaches to attention-based neural machine translation
MT Luong, H Pham, CD Manning
arXiv preprint arXiv:1508.04025, 2015
Better word representations with recursive neural networks for morphology
MT Luong, R Socher, CD Manning
Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013
Addressing the rare word problem in neural machine translation
MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba
arXiv preprint arXiv:1410.8206, 2014
Multi-task sequence to sequence learning
MT Luong, QV Le, I Sutskever, O Vinyals, L Kaiser
arXiv preprint arXiv:1511.06114, 2015
A hierarchical neural autoencoder for paragraphs and documents
J Li, MT Luong, D Jurafsky
arXiv preprint arXiv:1506.01057, 2015
Qanet: Combining local convolution with global self-attention for reading comprehension
AW Yu, D Dohan, MT Luong, R Zhao, K Chen, M Norouzi, QV Le
arXiv preprint arXiv:1804.09541, 2018
Achieving open vocabulary neural machine translation with hybrid word-character models
MT Luong, CD Manning
arXiv preprint arXiv:1604.00788, 2016
Massive exploration of neural machine translation architectures
D Britz, A Goldie, MT Luong, Q Le
arXiv preprint arXiv:1703.03906, 2017
Stanford neural machine translation systems for spoken language domains
MT Luong, CD Manning
Proceedings of the International Workshop on Spoken Language Translation, 76-79, 2015
Bilingual word representations with monolingual quality in mind
MT Luong, H Pham, CD Manning
Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015
When Are Tree Structures Necessary for Deep Learning of Representations?
J Li, MT Luong, D Jurafsky, E Hovy
arXiv preprint arXiv:1503.00185, 2015
Unsupervised data augmentation for consistency training
Q Xie, Z Dai, E Hovy, MT Luong, QV Le
arXiv preprint arXiv:1904.12848, 2019
Online and linear-time attention by enforcing monotonic alignments
C Raffel, MT Luong, PJ Liu, RJ Weiss, D Eck
arXiv preprint arXiv:1704.00784, 2017
Neural machine translation (seq2seq) tutorial
MT Luong, E Brevdo, R Zhao
Semi-supervised sequence modeling with cross-view training
K Clark, MT Luong, CD Manning, QV Le
arXiv preprint arXiv:1809.08370, 2018
Self-training with noisy student improves imagenet classification
Q Xie, MT Luong, E Hovy, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Logical structure recovery in scholarly articles with rich document features
MT Luong, TD Nguyen, MY Kan
Multimedia Storage and Retrieval Innovations for Digital Library Systems …, 2012
Compression of neural machine translation models via pruning
A See, MT Luong, CD Manning
arXiv preprint arXiv:1606.09274, 2016
Learning longer-term dependencies in rnns with auxiliary losses
TH Trinh, AM Dai, MT Luong, QV Le
arXiv preprint arXiv:1803.00144, 2018
A hybrid morpheme-word representation for machine translation of morphologically rich languages
MT Luong, P Nakov, MY Kan
arXiv preprint arXiv:1911.08117, 2019
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