| Fully Character-Level Neural Machine Translation without Explicit Segmentation J Lee, K Cho, T Hofmann Transactions of the Association for Computational Linguistics (TACL) 5, 365-378, 2017 | 434 | 2017 |
| Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement J Lee, E Mansimov, K Cho Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 332 | 2018 |
| Latent-variable non-autoregressive neural machine translation with deterministic inference using a delta posterior R Shu, J Lee, H Nakayama, K Cho Proceedings of the aaai conference on artificial intelligence 34 (05), 8846-8853, 2020 | 83 | 2020 |
| Emergent Translation in Multi-Agent Communication J Lee, K Cho, J Weston, D Kiela International Conference on Learning Representations (ICLR), 2018 | 59 | 2018 |
| Countering language drift via visual grounding J Lee, K Cho, D Kiela arXiv preprint arXiv:1909.04499, 2019 | 31 | 2019 |
| Iterative refinement in the continuous space for non-autoregressive neural machine translation J Lee, R Shu, K Cho arXiv preprint arXiv:2009.07177, 2020 | 16 | 2020 |
| On the discrepancy between density estimation and sequence generation J Lee, D Tran, O Firat, K Cho arXiv preprint arXiv:2002.07233, 2020 | 11 | 2020 |
| Multi-turn beam search for neural dialogue modeling I Kulikov, J Lee, K Cho arXiv preprint arXiv:1906.00141, 2019 | 3 | 2019 |
| Latent Variable Models and Iterative Refinement for Non-autoregressive Neural Machine Translation J Lee New York University, 2021 | | 2021 |
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
