Hao Cheng
Hao Cheng
Microsoft Research
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
Zitiert von
Zitiert von
Language models for image captioning: The quirks and what works
J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell
Annual Meeting of the Association for Computational Linguistics (ACL), 2015
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, ...
arXiv preprint arXiv:2007.15779, 2020
Bi-directional Attention with Agreement for Dependency Parsing
H Cheng, H Fang, X He, J Gao, L Deng
EMNLP, 2016
Open-Domain Name Error Detection using a Multi-Task RNN
H Cheng, H Fang, M Ostendorf
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
Sounding Board: A User-Centric and Content-Driven Social Chatbot
H Fang, H Cheng, M Sap, E Clark, A Holtzman, Y Choi, NA Smith, ...
Conference of the North American Chapter of the Association for …, 2018
Adversarial training for large neural language models
X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao
arXiv preprint arXiv:2004.08994, 2020
Sounding board–university of washington’s alexa prize submission
H Fang, H Cheng, E Clark, A Holtzman, M Sap, M Ostendorf, Y Choi, ...
Alexa prize proceedings, 2017
Convex Two-Layer Modeling
O Aslan, H Cheng, D Schuurmans, X Zhang
Neural Information Processing Systems (NeurIPS), 2013
Characterizing the representer theorem
Y Yu, H Cheng, D Schuurmans, C Szepesvári
International Conference on Machine Learning (ICML), 2013
Scalable and sound low-rank tensor learning
H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2016
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
arXiv preprint arXiv:2101.00133, 2021
The microsoft toolkit of multi-task deep neural networks for natural language understanding
X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa, P He, W Chen, H Poon, ...
arXiv preprint arXiv:2002.07972, 2020
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
H Cheng, H Fang, M Ostendorf
EMNLP, 2017
A dynamic speaker model for conversational interactions
H Cheng, H Fang, M Ostendorf
NAACL, 2019
Approximate low-rank tensor learning
Y Yu, H Cheng, X Zhang
NIPS workshop on optimization for machine learning, 2014
Learning latent local conversation modes for predicting comment endorsement in online discussions
H Fang, H Cheng, M Ostendorf
Proceedings of The Fourth International Workshop on Natural Language …, 2016
Convex Relaxations of Bregman Divergence Clustering
H Cheng, X Zhang, D Schuurmans
Conference on Uncertainty in Artificial Intelligence (UAI), 2013
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
H Cheng, MW Chang, K Lee, K Toutanova
ACL, 2020
Learning latent local conversation modes for predicting community endorsement in online discussions
H Fang, H Cheng, M Ostendorf
International Workshop on Natural Language Processing for Social Media …, 2016
Posterior differential regularization with f-divergence for improving model robustness
H Cheng, X Liu, L Pereira, Y Yu, J Gao
arXiv preprint arXiv:2010.12638, 2020
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