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Yu Gong
Yu Gong
在 sfu.ca 的电子邮件经过验证 - 首页
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Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International Conference on Learning Representations, 2019
112019
Variational selective autoencoder
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
Second Symposium on Advances in Approximate Bayesian Inference, 2020
72020
Variational selective autoencoder: Learning from partially-observed heterogeneous data
Y Gong, H Hajimirsadeghi, J He, T Durand, G Mori
International Conference on Artificial Intelligence and Statistics, 2377-2385, 2021
52021
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y Gong, G Mori, F Tung
International Conference on Machine Learning 162, 7634-7649, 2022
22022
Muse: Feature self-distillation with mutual information and self-information
Y Gong, Y Yu, G Mittal, G Mori, M Chen
arXiv preprint arXiv:2110.12606, 2021
22021
System and method for machine learning architecture for partially-observed multimodal data
Y Gong, J He, T Durand, M Nawhal, CAO Yanshuai, M Gregory, ...
US Patent App. 16/882,074, 2020
22020
Latent structure learning in variational autoencoders
Y Gong
Simon Fraser University, 2019
2019
Learning from Partially-Observed Multimodal Data with Variational Autoencoders
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
Variational Latent Dependency Learning
J He, Y Gong, J Marino, G Mori, A Lehrmann
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