Style transfer from non-parallel text by cross-alignment T Shen, T Lei, R Barzilay, T Jaakkola Advances in neural information processing systems 30, 2017 | 849 | 2017 |
Mixture models for diverse machine translation: Tricks of the trade T Shen, M Ott, M Auli, MA Ranzato International conference on machine learning, 5719-5728, 2019 | 127 | 2019 |
Generating sequences by learning to self-correct S Welleck, X Lu, P West, F Brahman, T Shen, D Khashabi, Y Choi arXiv preprint arXiv:2211.00053, 2022 | 77 | 2022 |
Educating text autoencoders: Latent representation guidance via denoising T Shen, J Mueller, R Barzilay, T Jaakkola International conference on machine learning, 8719-8729, 2020 | 71 | 2020 |
Blank language models T Shen, V Quach, R Barzilay, T Jaakkola arXiv preprint arXiv:2002.03079, 2020 | 70 | 2020 |
Learning to make generalizable and diverse predictions for retrosynthesis B Chen, T Shen, TS Jaakkola, R Barzilay arXiv preprint arXiv:1910.09688, 2019 | 45 | 2019 |
Controlling directions orthogonal to a classifier Y Xu, H He, T Shen, T Jaakkola arXiv preprint arXiv:2201.11259, 2022 | 20 | 2022 |
Film: Fill-in language models for any-order generation T Shen, H Peng, R Shen, Y Fu, Z Harchaoui, Y Choi arXiv preprint arXiv:2310.09930, 2023 | 2 | 2023 |
Making dependency labeling simple, fast and accurate T Shen, T Lei, R Barzilay Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 2 | 2016 |
Controlling Neural Language Generation T Shen Massachusetts Institute of Technology, 2022 | | 2022 |
Text Style Transfer with Confounders T Shen, R Barzilay, TS Jaakkola | | 2021 |
Language style transfer T Shen Massachusetts Institute of Technology, 2018 | | 2018 |