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Yuge Shi
Yuge Shi
University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Variational mixture-of-experts autoencoders for multi-modal deep generative models
Y Shi, B Paige, P Torr
Advances in Neural Information Processing Systems 32, 2019
912019
Action anticipation with rbf kernelized feature mapping rnn
Y Shi, B Fernando, R Hartley
Proceedings of the European Conference on Computer Vision (ECCV), 301-317, 2018
652018
Gradient matching for domain generalization
Y Shi, J Seely, PHS Torr, N Siddharth, A Hannun, N Usunier, G Synnaeve
arXiv preprint arXiv:2104.09937, 2021
242021
Relating by contrasting: A data-efficient framework for multimodal DGMs
Y Shi, B Paige, PHS Torr, N Siddharth
Open Review, 2021
8*2021
Learning Multimodal VAEs through Mutual Supervision
T Joy, Y Shi, PHS Torr, T Rainforth, SM Schmon, N Siddharth
arXiv preprint arXiv:2106.12570, 2021
12021
Adversarial Masking for Self-Supervised Learning
Y Shi, N Siddharth, PHS Torr, AR Kosiorek
arXiv preprint arXiv:2201.13100, 2022
2022
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Articles 1–6