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Stephan Gouws
Stephan Gouws
Senior Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu
arXiv preprint arXiv:1609.08144, 2016
91312016
Universal transformers
M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser
International Conference on Learning Representations (ICLR), 2019
10012019
Tensor2tensor for neural machine translation
A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ...
arXiv preprint arXiv:1803.07416, 2018
6512018
Bilbowa: Fast bilingual distributed representations without word alignments
S Gouws, Y Bengio, G Corrado
International Conference on Machine Learning (ICML), 2015
4572015
Generating high-quality and informative conversation responses with sequence-to-sequence models
Y Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
2542017
Simple task-specific bilingual word embeddings
S Gouws, A Søgaard
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
1752015
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
A Royer, K Bousmalis, S Gouws, F Bertsch, I Moressi, F Cole, K Murphy
arXiv preprint arXiv:1711.05139, 2017
1582017
Contextual bearing on linguistic variation in social media
S Gouws, D Metzler, C Cai, E Hovy
Proceedings of the workshop on language in social media (LSM 2011), 20-29, 2011
1472011
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016)
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
1042016
& Dean, J.(2016). Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 0
86
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
822016
Fidelity-weighted learning
M Dehghani, A Mehrjou, S Gouws, J Kamps, B Schölkopf
arXiv preprint arXiv:1711.02799, 2017
802017
Generating long and diverse responses with neural conversation models
L Shao, S Gouws, D Britz, A Goldie, B Strope, R Kurzweil
arXiv preprint arXiv:1701.03185, 2017
772017
Unsupervised mining of lexical variants from noisy text
S Gouws, D Hovy, D Metzler
Proceedings of the First workshop on Unsupervised Learning in NLP, 82-90, 2011
702011
Measuring conceptual similarity by spreading activation over Wikipedia’s hyperlink structure
S Gouws, GJ van Rooyen, HA Engelbrecht
Proceedings of the 2nd Workshop on The People’s Web Meets NLP …, 2010
412010
Universal transformers
M Dehghani, S Gouws, O Vinyals, JD Uszkoreit, LM Kaiser
US Patent 10,740,433, 2020
102020
Learning structural correspondences across different linguistic domains with synchronous neural language models
S Gouws, GJ Van Rooyen, MIH Medialab, Y Bengio
Proc. of the xLite Workshop on Cross-Lingual Technologies, NIPS, 2012
92012
Semantically-consistent image style transfer
S Gouws, F Bertsch, K Bousmalis, A Royer, KP Murphy
US Patent 11,380,034, 2022
82022
Deep unsupervised feature learning for natural language processing
S Gouws
Proceedings of the NAACL HLT 2012 Student Research Workshop, 48-53, 2012
72012
Universal transformers
M Dehghani, S Gouws, O Vinyals, JD Uszkoreit, LM Kaiser
US Patent 11,860,969, 2024
32024
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