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Yuge Shi
Observed name:
Shi, Yuge
Observed institutions:
Australian National University,
University of Oxford
ORCID:
0000-0003-1905-9320
Observed ORCID:
0000-0003-1905-9320
OpenAlex ID:
A5026461915
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
2019
·
Shi, Yuge
, Siddharth, N.
, et al.
·
arXiv (Cornell University)
·
171
PDF
Gradient Matching for Domain Generalization
2021
·
Shi, Yuge
, Seely, Jeffrey
, et al.
·
arXiv (Cornell University)
·
120
PDF
Action Anticipation with RBF Kernelized Feature Mapping RNN
2018
·
Yuge Shi
, Basura Fernando
, et al.
·
Lecture notes in computer science
·
78
Adversarial Masking for Self-Supervised Learning
2022
·
Shi, Yuge
, Siddharth, N.
, et al.
·
arXiv (Cornell University)
·
50
PDF
Genie: Generative Interactive Environments
2024
·
Bruce, Jake
, Dennis, Michael
, et al.
·
arXiv (Cornell University)
·
23
PDF
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
2020
·
Shi, Yuge
, Paige, Brooks
, et al.
·
arXiv (Cornell University)
·
21
PDF
Tuning computer vision models with task rewards
2023
·
Pinto, André Susano
, Kolesnikov, Alexander
, et al.
·
arXiv (Cornell University)
·
16
PDF
Action Anticipation with RBF Kernelized Feature Mapping RNN
2019
·
Shi, Yuge
, Fernando, Basura
, et al.
·
arXiv (Cornell University)
·
6
PDF
Learning Multimodal VAEs through Mutual Supervision
2021
·
Joy, Tom
, Shi, Yuge
, et al.
·
Durham Research Online (Durham University)
·
5
PDF
Open-Endedness is Essential for Artificial Superhuman Intelligence
2024
·
Hughes, Edward
, Dennis, Michael
, et al.
·
arXiv (Cornell University)
·
4
PDF
Memory Consolidation Enables Long-Context Video Understanding
2024
·
Balažević, Ivana
, Shi, Yuge
, et al.
·
arXiv (Cornell University)
·
3
PDF
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Works count:
13
Citation count:
506
H-index:
8
I10-index:
7
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