Yuxuan Song
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Activation maximization generative adversarial nets
Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang
arXiv preprint arXiv:1703.02000, 2017
Lipschitz generative adversarial nets
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang
International Conference on Machine Learning, 7584-7593, 2019
Guiding the one-to-one mapping in cyclegan via optimal transport
G Lu, Z Zhou, Y Song, K Ren, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4432-4439, 2019
Yong Yu. Understanding the effectiveness of lipschitz constraint in training of gans via gradient analysis
Z Zhou, Y Song, L Yu
arXiv preprint arXiv:1807.00751, 2018
Do you have the right scissors? tailoring pre-trained language models via monte-carlo methods
N Miao, Y Song, H Zhou, L Li
arXiv preprint arXiv:2007.06162, 2020
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu
arXiv preprint arXiv:1911.09310, 2019
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Y Song, Q Ye, M Xu, TY Liu
arXiv preprint arXiv:2004.01704, 2020
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs
Z Zhou, J Shen, Y Song, W Zhang, Y Yu
arXiv preprint arXiv:1904.01184, 2019
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Y Song, N Miao, H Zhou, L Yu, M Wang, L Li
International Conference on Artificial Intelligence and Statistics, 122-132, 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2019
Volume Ranking and Sequential Selection in Programmatic Display Advertising
Y Song, K Ren, H Cai, W Zhang, Y Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
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