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Jianfeng Gao
Jianfeng Gao
Microsoft Research, Redmond
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
39882014
Deberta: Decoding-enhanced bert with disentangled attention
P He, X Liu, J Gao, W Chen
arXiv preprint arXiv:2006.03654, 2020
27052020
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
26602015
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
24802016
MS MARCO: A human generated machine reading comprehension dataset
T Nguyen
arXiv preprint arXiv:1611.09268, 2016
24222016
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
24042013
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
23402016
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
23182019
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
21242020
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
19792021
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
18342021
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
18212019
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
16792015
Deep reinforcement learning for dialogue generation
J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky
arXiv preprint arXiv:1606.01541, 2016
16372016
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
1625*2014
Dialogpt: Large-Scale generative pre-training for conversational response generation
Y Zhang
arXiv preprint arXiv:1911.00536, 2019
15842019
Multi-task deep neural networks for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
14622019
A persona-based neural conversation model
J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan
arXiv preprint arXiv:1603.06155, 2016
13242016
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
1223*2021
Piqa: Reasoning about physical commonsense in natural language
Y Bisk, R Zellers, J Gao, Y Choi
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7432-7439, 2020
11612020
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