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Kun Xu
Kun Xu
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Title
Cited by
Cited by
Year
Triple generative adversarial nets
C Li, T Xu, J Zhu, B Zhang
Advances in neural information processing systems 30, 2017
3972017
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
International Conference on Machine Learning, 4970-4979, 2019
2632019
Rethinking softmax cross-entropy loss for adversarial robustness
T Pang, K Xu, Y Dong, C Du, N Chen, J Zhu
arXiv preprint arXiv:1905.10626, 2019
932019
Mixup inference: Better exploiting mixup to defend adversarial attacks
T Pang, K Xu, J Zhu
arXiv preprint arXiv:1909.11515, 2019
772019
Boosting adversarial training with hypersphere embedding
T Pang, X Yang, Y Dong, K Xu, J Zhu, H Su
Advances in Neural Information Processing Systems 33, 7779-7792, 2020
602020
Neuron segmentation based on CNN with semi-supervised regularization
K Xu, H Su, J Zhu, JS Guan, B Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
262016
Triple generative adversarial networks
C Li, K Xu, J Zhu, J Liu, B Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
172021
Understanding and stabilizing gans' training dynamics with control theory
K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1909.13188, 2019
14*2019
Multi-objects generation with amortized structural regularization
T Xu, C Li, J Zhu, B Zhang
Advances in Neural Information Processing Systems 32, 2019
142019
To relieve your headache of training an mrf, take advil
C Li, C Du, K Xu, M Welling, J Zhu, B Zhang
arXiv preprint arXiv:1901.08400, 2019
132019
Efficient learning of generative models via finite-difference score matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
Advances in Neural Information Processing Systems 33, 19175-19188, 2020
122020
Learning Implicit Generative Models By Teaching Density Estimators
K Xu, C Du, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
11*2018
The youtube-8m kaggle competition: Challenges and methods
H Zou, K Xu, J Li, J Zhu
arXiv preprint arXiv:1706.09274, 2017
112017
Bi-level score matching for learning energy-based latent variable models
F Bao, C Li, K Xu, H Su, J Zhu, B Zhang
Advances in Neural Information Processing Systems 33, 18110-18122, 2020
72020
Deep structured generative models
K Xu, H Liang, J Zhu, H Su, B Zhang
arXiv preprint arXiv:1807.03877, 2018
62018
Variational (gradient) estimate of the score function in energy-based latent variable models
F Bao, K Xu, C Li, L Hong, J Zhu, B Zhang
International Conference on Machine Learning, 651-661, 2021
42021
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