Uniter: Universal image-text representation learning YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu European conference on computer vision, 104-120, 2020 | 1896 | 2020 |
Dialogpt: Large-scale generative pre-training for conversational response generation Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ... arXiv preprint arXiv:1911.00536, 2019 | 1367 | 2019 |
Patient knowledge distillation for bert model compression S Sun, Y Cheng, Z Gan, J Liu arXiv preprint arXiv:1908.09355, 2019 | 779 | 2019 |
Less is more: Clipbert for video-and-language learning via sparse sampling J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 586 | 2021 |
Low-quality product review detection in opinion summarization J Liu, Y Cao, CY Lin, Y Huang, M Zhou Proceedings of the 2007 joint conference on empirical methods in natural …, 2007 | 576 | 2007 |
Hero: Hierarchical encoder for video+ language omni-representation pre-training L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu arXiv preprint arXiv:2005.00200, 2020 | 463 | 2020 |
Large-scale adversarial training for vision-and-language representation learning Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu Advances in Neural Information Processing Systems 33, 6616-6628, 2020 | 461 | 2020 |
Freelb: Enhanced adversarial training for natural language understanding C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu arXiv preprint arXiv:1909.11764, 2019 | 458 | 2019 |
Uniter: Learning universal image-text representations YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu | 394 | 2019 |
Relation-aware graph attention network for visual question answering L Li, Z Gan, Y Cheng, J Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 386 | 2019 |
Discourse-aware neural extractive text summarization J Xu, Z Gan, Y Cheng, J Liu arXiv preprint arXiv:1910.14142, 2019 | 287 | 2019 |
Record: Bridging the gap between human and machine commonsense reading comprehension S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme arXiv preprint arXiv:1810.12885, 2018 | 243 | 2018 |
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 | 224 | 2018 |
Hierarchical graph network for multi-hop question answering Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu arXiv preprint arXiv:1911.03631, 2019 | 202 | 2019 |
Video search re-ranking via multi-graph propagation J Liu, W Lai, XS Hua, Y Huang, S Li Proceedings of the 15th ACM international conference on multimedia, 208-217, 2007 | 190 | 2007 |
Storygan: A sequential conditional gan for story visualization Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 188 | 2019 |
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 | 171 | 2019 |
Graph optimal transport for cross-domain alignment L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu International Conference on Machine Learning, 1542-1553, 2020 | 152 | 2020 |
Review sentiment scoring via a parse-and-paraphrase paradigm J Liu, S Seneff Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 146 | 2009 |
Behind the scene: Revealing the secrets of pre-trained vision-and-language models J Cao, Z Gan, Y Cheng, L Yu, YC Chen, J Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 135 | 2020 |