| Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks X Li, X Yin, C Li, P Zhang, X Hu, L Zhang, L Wang, H Hu, L Dong, F Wei, ... European Conference on Computer Vision, 121-137, 2020 | 2423* | 2020 |
| Vinvl: Revisiting visual representations in vision-language models P Zhang*, X Li*, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1123 | 2021 |
| End-to-End Task-Completion Neural Dialogue Systems X Li, YN Chen, L Li, J Gao, A Celikyilmaz The 8th International Joint Conference on Natural Language Processing …, 2017 | 471 | 2017 |
| Towards end-to-end reinforcement learning of dialogue agents for information access B Dhingra, L Li, X Li, J Gao, YN Chen, F Ahmed, L Deng arXiv preprint arXiv:1609.00777, 2016 | 390 | 2016 |
| Generating informative and diverse conversational responses via adversarial information maximization Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan Advances in Neural Information Processing Systems 31, 2018 | 319 | 2018 |
| Towards learning a generic agent for vision-and-language navigation via pre-training W Hao, C Li, X Li, L Carin, J Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 301 | 2020 |
| Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning Z Yao, X Li, J Gao, B Sadler, H Sun arXiv preprint arXiv:1808.06740, 2018 | 287* | 2018 |
| Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning Y Wu, X Li, J Liu, J Gao, Y Yang AAAI 2019, 2019 | 267* | 2019 |
| Deep dyna-q: Integrating planning for task-completion dialogue policy learning B Peng, X Li, J Gao, J Liu, KF Wong, SY Su arXiv preprint arXiv:1801.06176, 2018 | 243 | 2018 |
| Advances in smartphone-based point-of-care diagnostics X Xu, A Akay, H Wei, SQ Wang, B Pingguan-Murphy, BE Erlandsson, ... Proceedings of the IEEE 103 (2), 236-247, 2015 | 243 | 2015 |
| Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning B Peng, X Li, L Li, J Gao, A Celikyilmaz, S Lee, KF Wong arXiv preprint arXiv:1704.03084, 2017 | 241 | 2017 |
| Few-shot natural language generation for task-oriented dialog B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao arXiv preprint arXiv:2002.12328, 2020 | 228 | 2020 |
| Bbq-networks: Efficient exploration in deep reinforcement learning for task-oriented dialogue systems Z Lipton, X Li, J Gao, L Li, F Ahmed, L Deng Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 197 | 2018 |
| A user simulator for task-completion dialogues X Li, ZC Lipton, B Dhingra, L Li, J Gao, YN Chen arXiv preprint arXiv:1612.05688, 2016 | 195 | 2016 |
| Tactical rewind: Self-correction via backtracking in vision-and-language navigation L Ke, X Li, Y Bisk, A Holtzman, Z Gan, J Liu, J Gao, Y Choi, S Srinivasa Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 191 | 2019 |
| Optimus: Organizing sentences via pre-trained modeling of a latent space C Li, X Gao, Y Li, B Peng, X Li, Y Zhang, J Gao arXiv preprint arXiv:2004.04092, 2020 | 188 | 2020 |
| Vinvl: Making visual representations matter in vision-language models P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao arXiv e-prints, arXiv: 2101.00529, 2021 | 181 | 2021 |
| End-to-end learning of dialogue agents for information access L Li, B Dhingra, J Gao, X Li, YN Chen, L Deng, F Ahmed US Patent 10,546,066, 2020 | 162 | 2020 |
| Convlab: Multi-domain end-to-end dialog system platform S Lee, Q Zhu, R Takanobu, X Li, Y Zhang, Z Zhang, J Li, B Peng, X Li, ... arXiv preprint arXiv:1904.08637, 2019 | 130* | 2019 |
| Robust navigation with language pretraining and stochastic sampling X Li, C Li, Q Xia, Y Bisk, A Celikyilmaz, J Gao, N Smith, Y Choi arXiv preprint arXiv:1909.02244, 2019 | 128 | 2019 |
Jianfeng GaoMicrosoft Research, Redmond確認したメール アドレス: microsoft.com