Chao Du
Chao Du
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Composite quantization for approximate nearest neighbor search
T Zhang, C Du, J Wang
International Conference on Machine Learning, 838-846, 2014
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
Towards robust detection of adversarial examples
T Pang, C Du, Y Dong, J Zhu
arXiv preprint arXiv:1706.00633, 2017
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
Max-mahalanobis linear discriminant analysis networks
T Pang, C Du, J Zhu
International Conference on Machine Learning, 4016-4025, 2018
Inner product similarity search using compositional codes
C Du, J Wang
arXiv preprint arXiv:1406.4966, 2014
Learning deep generative models with doubly stochastic gradient MCMC
C Du, J Zhu, B Zhang
IEEE transactions on neural networks and learning systems 29 (7), 3084-3096, 2017
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Robust deep learning via reverse cross-entropy training and thresholding test
T Pang, C Du, J Zhu
arXiv preprint arXiv:1706.00633 3, 2017
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
Learning implicit generative models by teaching explicit ones
C Du, K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
Learning Implicit Generative Models by Teaching Density Estimators
K Xu, C Du, C Li, J Zhu, B Zhang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
A Bayesian Approach for Subset Selection in Contextual Bandits
J Li, C Du, J Zhu
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
C Du, Y Zeng, Z Gao, S Yuan, L Gao, Z Li, X Zhu, J Xu, K Gai
arXiv preprint arXiv:2012.02298, 2020
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