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Kai Fan
Kai Fan
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duke.edu의 이메일 확인됨
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인용
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Adversarial feature matching for text generation
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin
International conference on machine learning, 4006-4015, 2017
4002017
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1622018
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
802016
Massive computational acceleration by using neural networks to emulate mechanism-based biological models
S Wang, F Kai, N Luo, Y Cao, F Wu, C Zhang, KA Heller, L You
Nature Communications 10 (1), 4354, 2019
712019
Unsupervised multi-modal neural machine translation
Y Su, K Fan, N Bach, CCJ Kuo, F Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
602019
“Bilingual Expert” can find translation errors
K Fan, J Wang, B Li, F Zhou, B Chen, L Si
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6367-6374, 2019
562019
Alibaba submission for WMT18 quality estimation task
J Wang, K Fan, B Li, F Zhou, B Chen, Y Shi, L Si
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
442018
Fast second order stochastic backpropagation for variational inference
K Fan, Z Wang, J Beck, J Kwok, KA Heller
Advances in Neural Information Processing Systems 28, 2015
422015
Lattice transformer for speech translation
P Zhang, B Chen, N Ge, K Fan
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
412019
Improving distantly supervised relation extraction with neural noise converter and conditional optimal selector
S Wu, K Fan, Q Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7273-7280, 2019
382019
High-order stochastic gradient thermostats for Bayesian learning of deep models
C Li, C Chen, K Fan, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
282016
Learning a generative classifier from label proportions
K Fan, H Zhang, S Yan, L Wang, W Zhang, J Feng
Neurocomputing 139, 47-55, 2014
282014
Inner-loop free ADMM using Auxiliary Deep Neural Networks
K Fan, Q Wei, KA Heller
Advances in Neural Information Processing Systems, 2367-2377, 2017
25*2017
A unifying variational inference framework for hierarchical graph-coupled HMM with an application to influenza infection
K Fan, C Li, K Heller
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
222016
Towards unifying Hamiltonian Monte Carlo and slice sampling
Y Zhang, X Wang, C Chen, R Henao, K Fan, L Carin
Advances in Neural Information Processing Systems 29, 2016
222016
Hierarchical graph-coupled hmms for heterogeneous personalized health data
K Fan, M Eisenberg, A Walsh, A Aiello, K Heller
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
182015
Efficient cluster-based k-nearest-neighbor machine translation
D Wang, K Fan, B Chen, D Xiong
arXiv preprint arXiv:2204.06175, 2022
172022
Efficient algorithm for privately releasing smooth queries
Z Wang, K Fan, J Zhang, L Wang
Advances in Neural Information Processing Systems 26, 2013
172013
Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation
P Zhang, B Chen, N Ge, K Fan
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
162020
Differentially private data releasing for smooth queries
Z Wang, C Jin, K Fan, J Zhang, J Huang, Y Zhong, L Wang
The Journal of Machine Learning Research 17 (1), 1779-1820, 2016
132016
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