Yuge (Jimmy) Shi
Yuge (Jimmy) Shi
Google Deepmind
Verified email at - Homepage
Cited by
Cited by
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
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
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
Adversarial masking for self-supervised learning
Y Shi, N Siddharth, P Torr, AR Kosiorek
International Conference on Machine Learning, 20026-20040, 2022
Relating by contrasting: A data-efficient framework for multimodal DGMs
Y Shi, B Paige, PHS Torr, N Siddharth
Open Review, 2021
How robust are pre-trained models to distribution shift?
Y Shi, I Daunhawer, JE Vogt, P Torr, A Sanyal
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
Learning multimodal VAEs through mutual supervision
T Joy, Y Shi, PHS Torr, T Rainforth, SM Schmon, N Siddharth
arXiv preprint arXiv:2106.12570, 2021
Tuning computer vision models with task rewards
AS Pinto, A Kolesnikov, Y Shi, L Beyer, X Zhai
International Conference on Machine Learning, 33229-33239, 2023
Genie: Generative Interactive Environments
J Bruce, M Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ...
arXiv preprint arXiv:2402.15391, 2024
Memory Consolidation Enables Long-Context Video Understanding
I Balažević, Y Shi, P Papalampidi, R Chaabouni, S Koppula, OJ Hénaff
arXiv preprint arXiv:2402.05861, 2024
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