| Compressing word embeddings via deep compositional code learning R Shu, H Nakayama arXiv preprint arXiv:1711.01068, 2017 | 151 | 2017 |
| Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference R Shu, J Lee, H Nakayama, K Cho The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 118* | 2020 |
| Generating diverse translations with sentence codes R Shu, H Nakayama, K Cho Proceedings of the 57th annual meeting of the association for computational …, 2019 | 44 | 2019 |
| Generating video description using sequence-to-sequence model with temporal attention N Laokulrat, S Phan, N Nishida, R Shu, Y Ehara, N Okazaki, Y Miyao, ... Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 31 | 2016 |
| Iterative refinement in the continuous space for non-autoregressive neural machine translation J Lee, R Shu, K Cho arXiv preprint arXiv:2009.07177, 2020 | 26 | 2020 |
| Graphplan: Story generation by planning with event graph H Chen, R Shu, H Takamura, H Nakayama arXiv preprint arXiv:2102.02977, 2021 | 25 | 2021 |
| Later-stage minimum bayes-risk decoding for neural machine translation R Shu, H Nakayama arXiv preprint arXiv:1704.03169, 2017 | 17 | 2017 |
| Improving beam search by removing monotonic constraint for neural machine translation R Shu, H Nakayama Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 15 | 2018 |
| Residual stacking of rnns for neural machine translation R Shu, A Miura Proceedings of the 3rd Workshop on Asian Translation (WAT2016), 223-229, 2016 | 13 | 2016 |
| Federated semi-supervised learning with prototypical networks W Kim, K Park, K Sohn, R Shu, HS Kim arXiv preprint arXiv:2205.13921, 2022 | 10 | 2022 |
| Diacttod: Learning generalizable latent dialogue acts for controllable task-oriented dialogue systems Q Wu, J Gung, R Shu, Y Zhang arXiv preprint arXiv:2308.00878, 2023 | 7 | 2023 |
| Conversation style transfer using few-shot learning S Roy, R Shu, N Pappas, E Mansimov, Y Zhang, S Mansour, D Roth arXiv preprint arXiv:2302.08362, 2023 | 6 | 2023 |
| Dialog2api: Task-oriented dialogue with api description and example programs R Shu, E Mansimov, T Alkhouli, N Pappas, S Romeo, A Gupta, S Mansour, ... arXiv preprint arXiv:2212.09946, 2022 | 6 | 2022 |
| Reward optimization for neural machine translation with learned metrics R Shu, KM Yoo, JW Ha arXiv preprint arXiv:2104.07541, 2021 | 6 | 2021 |
| An empirical study of adequate vision span for attention-based neural machine translation R Shu, H Nakayama arXiv preprint arXiv:1612.06043, 2016 | 5 | 2016 |
| User simulation with large language models for evaluating task-oriented dialogue S Davidson, S Romeo, R Shu, J Gung, A Gupta, S Mansour, Y Zhang arXiv preprint arXiv:2309.13233, 2023 | 4 | 2023 |
| Intent induction from conversations for task-oriented dialogue track at dstc 11 J Gung, R Shu, E Moeng, W Rose, S Romeo, Y Benajiba, A Gupta, ... arXiv preprint arXiv:2304.12982, 2023 | 4 | 2023 |
| Pre-training intent-aware encoders for zero-and few-shot intent classification M Sung, J Gung, E Mansimov, N Pappas, R Shu, S Romeo, Y Zhang, ... arXiv preprint arXiv:2305.14827, 2023 | 3 | 2023 |
| Real-time Neural-based Input Method J Yao, R Shu, X Li, K Ohtsuki, H Nakayama arXiv preprint arXiv:1810.09309, 2018 | 2 | 2018 |
| Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks R Yang, R Shu, H Nakayama IEICE TRANSACTIONS on Information and Systems 105 (9), 1537-1545, 2022 | 1 | 2022 |
Hideki NakayamaThe University of Tokyo, Full Professor在 ci.i.u-tokyo.ac.jp 的电子邮件经过验证
Hideki NakayamaThe University of Tokyo, Full Professor在 ci.i.u-tokyo.ac.jp 的电子邮件经过验证
Kyunghyun ChoNew York University, Genentech在 nyu.edu 的电子邮件经过验证
Jason LeeSalesforce AI Research在 salesforce.com 的电子邮件经过验证