Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation J. Lee, R. Shu and K. Cho Empirical Methods in Natural Language Processing (EMNLP), 2020 [arxiv] [bib] On the Discrepancy between Density Estimation and Sequence Generation J. Lee, D. Tran, O. Firat and K. Cho Empirical Methods in Natural Language Processing (EMNLP), Workshop on Structured Prediction for NLP, 2020, Oral [arxiv] [bib] Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior R. Shu, J. Lee, H. Nakayama and K. Cho AAAI Conference on Artificial Intelligence (AAAI) , 2020 [arxiv] [bib] Multi-Turn Beam Search for Neural Dialogue Modeling I. Kulikov*, J. Lee* and K. Cho Neural Information Processing Systems (NeurIPS), Conversational AI Workshop, 2019, Oral [arxiv] [bib] Countering Language Drift via Visual Grounding J. Lee, K. Cho and D. Kiela Empirical Methods in Natural Language Processing (EMNLP), 2019 [arxiv] [bib] Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement J. Lee*, E. Mansimov* and K. Cho Empirical Methods in Natural Language Processing (EMNLP), 2018, Oral [arxiv] [code] [bib] Emergent Translation in Multi-Agent Communication J. Lee, K. Cho, J. Weston and D. Kiela International Conference on Learning Representations (ICLR), 2018 [arxiv] [code] [bib] Fully Character-Level Neural Machine Translation without Explicit Segmentation J. Lee, K. Cho and T. Hofmann Transactions of the Association for Computational Linguistics (TACL), 2017 [arxiv] [journal] [code] [bib] |