Chongxuan Li
Chongxuan Li
Dirección de correo verificada de mail.tsinghua.edu.cn - Página principal
Título
Citado por
Citado por
Año
Towards better analysis of deep convolutional neural networks
M Liu, J Shi, Z Li, C Li, J Zhu, S Liu
IEEE transactions on visualization and computer graphics 23 (1), 91-100, 2016
2602016
Triple generative adversarial nets
LI Chongxuan, T Xu, J Zhu, B Zhang
Advances in neural information processing systems, 4088-4098, 2017
2342017
Max-margin deep generative models
C Li, J Zhu, T Shi, B Zhang
Advances in neural information processing systems, 1837-1845, 2015
292015
Max-margin deep generative models for (semi-) supervised learning
C Li, J Zhu, B Zhang
IEEE transactions on pattern analysis and machine intelligence 40 (11), 2762 …, 2017
252017
Learning to generate with memory
C Li, J Zhu, B Zhang
International Conference on Machine Learning, 1177-1186, 2016
232016
Learning to write stylized chinese characters by reading a handful of examples
D Sun, T Ren, C Li, H Su, J Zhu
arXiv preprint arXiv:1712.06424, 2017
172017
Graphical generative adversarial networks
LI Chongxuan, M Welling, J Zhu, B Zhang
Advances in neural information processing systems, 6069-6080, 2018
152018
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
arXiv preprint arXiv:1612.07146, 2016
122016
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
5*2019
Learning implicit generative models by teaching explicit ones
C Du, K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
42018
Multi-objects generation with amortized structural regularization
T Xu, LI Chongxuan, J Zhu, B Zhang
Advances in Neural Information Processing Systems, 6619-6629, 2019
32019
Countering noisy labels by learning from auxiliary clean labels
TW Tsai, C Li, J Zhu
arXiv preprint arXiv:1905.13305, 2019
22019
Population matching discrepancy and applications in deep learning
J Chen, LI Chongxuan, Y Ru, J Zhu
Advances in Neural Information Processing Systems, 6262-6272, 2017
22017
Triple generative adversarial networks
C Li, K Xu, J Liu, J Zhu, B Zhang
arXiv preprint arXiv:1912.09784, 2019
12019
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
K Xu, C Li, H Wei, J Zhu, B Zhang
arXiv preprint arXiv:1909.13188, 2019
12019
Efficient Learning of Generative Models via Finite-Difference Score Matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
arXiv preprint arXiv:2007.03317, 2020
2020
Learning Implicit Generative Models By Teaching Density Estimators
K Xu, C Du, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
2018
Model-based Credit Assignment for Model-free Deep Reinforcement Learning
D Yan, J Weng, S Huang, C Li, Y Zhou, H Su, J Zhu
Understanding and Stabilizing GANs’ Training Dynamics using Control Theory
K Xu, C Li, J Zhu, B Zhang
Interactive Demo: A Visual Analysis System for Analyzing Deep Convolutional Neural Networks
M Liu, T EDU, Z Li, C Li, COMJ Zhu, S Liu, EDU CN
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20