| 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, 2016 | 2248 | 2016 |
| Bilbowa: Fast bilingual distributed representations without word alignments S Gouws, Y Bengio, G Corrado International Conference on Machine Learning (ICML), 2015 | 256 | 2015 |
| 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 | 169 | 2018 |
| Universal transformers M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser International Conference on Learning Representations (ICLR), 2019 | 106 | 2019 |
| Contextual bearing on linguistic variation in social media S Gouws, D Metzler, C Cai, E Hovy Proceedings of the Workshop on Languages in Social Media, 20-29, 2011 | 102 | 2011 |
| Simple task-specific bilingual word embeddings S Gouws, A Søgaard Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 95 | 2015 |
| 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 | 76 | 2017 |
| 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 | 46 | 2011 |
| 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 | 38 | 2017 |
| 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 | 36 | 2010 |
| 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 | 34 | 2017 |
| 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 | 32 | 2016 |
| Fidelity-weighted learning M Dehghani, A Mehrjou, S Gouws, J Kamps, B Schölkopf arXiv preprint arXiv:1711.02799, 2017 | 17 | 2017 |
| Deep unsupervised feature learning for natural language processing S Gouws Proceedings of the 2012 Conference of the North American Chapter of the …, 2012 | 5 | 2012 |
| 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 | 5 | 2012 |
| Natural language processing D Parsing Proceedings of the ACL Workshop on Statistical NLP and Weighted Automata …, 2016 | 4 | 2016 |
| Xgan: Unsupervised image-to-image translation for many-to-many mappings A Royer, K Bousmalis, S Gouws, F Bertsch, I Mosseri, F Cole, K Murphy | 2 | 2018 |
| Training neural word embeddings for transfer learning and translation S Gouws Stellenbosch: Stellenbosch University, 2016 | 2 | 2016 |
| Evaluation and development of conceptual document similarity metrics with content-based recommender applications S Gouws Stellenbosch: University of Stellenbosch, 2010 | 2 | 2010 |
| Universal transformers M Dehghani, S Gouws, O Vinyals, JD Uszkoreit, LM Kaiser US Patent App. 16/417,587, 2019 | | 2019 |
Łukasz KaiserGoogle Brain & CNRSVerified email at liafa.jussieu.fr
