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Nan Ding
Nan Ding
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Title
Cited by
Cited by
Year
Characterizing quantum supremacy in near-term devices
S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ...
Nature Physics 14 (6), 595-600, 2018
9452018
Scalable quantum simulation of molecular energies
PJJ O’Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ...
Physical Review X 6 (3), 031007, 2016
9372016
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
P Sharma, N Ding, S Goodman, R Soricut
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
9122018
Large-scale object classification using label relation graphs
J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ...
European conference on computer vision, 48-64, 2014
4762014
What is the computational value of finite-range tunneling?
VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush, V Smelyanskiy, ...
Physical Review X 6 (3), 031015, 2016
4682016
Bayesian sampling using stochastic gradient thermostats
N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven
Advances in Neural Information Processing Systems, 3203-3211, 2014
2312014
Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
S Changpinyo, P Sharma, N Ding, R Soricut
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1692021
On the convergence of stochastic gradient MCMC algorithms with high-order integrators
C Chen, N Ding, L Carin
Advances in neural information processing systems 28, 2015
1672015
Robust classification with adiabatic quantum optimization
VS Denchev, N Ding, SVN Vishwanathan, H Neven
International Conference on Machine Learning, 2012
612012
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Y Zhang, N Ding, R Soricut
NAACL 2018, 2018
512018
THU and ICRC at TRECVID 2007.
J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, D Wang, X Liu, C Liu, ...
TRECVID, 2007
472007
Cold-Start Reinforcement Learning with Softmax Policy Gradient
N Ding, R Soricut
Advances in Neural Information Processing Systems, 2017, 2017
412017
Do Transformer Modifications Transfer Across Implementations and Applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
EMNLP 2021, 2021
382021
Differential topic models
C Chen, W Buntine, N Ding, L Xie, L Du
Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 230-242, 2015
372015
Histogram-based estimation of distribution algorithm: A competent method for continuous optimization
N Ding, SD Zhou, ZQ Sun
Journal of computer science and technology 23 (1), 35-43, 2008
342008
Dependent hierarchical normalized random measures for dynamic topic modeling
C Chen, N Ding, W Buntine
International Conference on Machine Learning, 2012
332012
Nonparametric Bayesian matrix factorization by Power-EP
N Ding, Y Qi, R Xiang, I Molloy, N Li
International Conference on Artificial Intelligence and Statistics, 169-176, 2010
312010
Probabilistic Label Relation Graphs with Ising Models
N Ding, J Deng, K Murphy, H Neven
International Conference on Computer Vision, ICCV 2015, 2015
292015
Variational nonparametric Bayesian hidden Markov model
N Ding, Z Ou
2010 IEEE international conference on acoustics, speech and signal …, 2010
272010
Talking-heads attention
N Shazeer, Z Lan, Y Cheng, N Ding, L Hou
arXiv preprint arXiv:2003.02436, 2020
262020
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