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Jianfeng Gao
Jianfeng Gao
Microsoft Research, Redmond
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Embedding entities and relations for learning and inference in knowledge bases
B Yang, W Yih, X He, J Gao, L Deng
arXiv preprint arXiv:1412.6575, 2014
38482014
A diversity-promoting objective function for neural conversation models
J Li, M Galley, C Brockett, J Gao, B Dolan
arXiv preprint arXiv:1510.03055, 2015
25982015
Deberta: Decoding-enhanced bert with disentangled attention
P He, X Liu, J Gao, W Chen
arXiv preprint arXiv:2006.03654, 2020
24972020
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Y Guo, L Zhang, Y Hu, X He, J Gao
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
24262016
Learning deep structured semantic models for web search using clickthrough data
PS Huang, X He, J Gao, L Deng, A Acero, L Heck
Proceedings of the 22nd ACM international conference on Information …, 2013
23662013
MS MARCO: A human generated machine reading comprehension dataset
T Nguyen
arXiv preprint arXiv:1611.09268, 2016
23182016
Stacked attention networks for image question answering
Z Yang, X He, J Gao, L Deng, A Smola
Proceedings of the IEEE conference on computer vision and pattern …, 2016
22992016
On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
22342019
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, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
20252020
Domain-specific language model pretraining for biomedical natural language processing
Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ...
ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021
18442021
Unified language model pre-training for natural language understanding and generation
L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon
Advances in neural information processing systems 32, 2019
17652019
Deep learning--based text classification: a comprehensive review
S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao
ACM computing surveys (CSUR) 54 (3), 1-40, 2021
17272021
From captions to visual concepts and back
H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
16632015
Deep reinforcement learning for dialogue generation
J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky
arXiv preprint arXiv:1606.01541, 2016
16102016
A latent semantic model with convolutional-pooling structure for information retrieval
Y Shen, X He, J Gao, L Deng, G Mesnil
Proceedings of the 23rd ACM international conference on conference on …, 2014
1607*2014
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
15322019
Multi-task deep neural networks for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
14292019
A persona-based neural conversation model
J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan
arXiv preprint arXiv:1603.06155, 2016
13022016
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
1154*2021
A neural network approach to context-sensitive generation of conversational responses
A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ...
arXiv preprint arXiv:1506.06714, 2015
11422015
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