Yuge Shi

22 papers A* 10Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
Genie: Generative Interactive Environments.
ICML
Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024 J jnl
Genie: Generative Interactive Environments.
CoRR
Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024 A* conf
Memory Consolidation Enables Long-Context Video Understanding.
ICML
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
2024 J jnl
Memory Consolidation Enables Long-Context Video Understanding.
CoRR
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
2024 J jnl
Open-Endedness is Essential for Artificial Superhuman Intelligence.
CoRR
Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel
2024 A* conf
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence.
ICML
Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel
2023 A* conf
How robust is unsupervised representation learning to distribution shift?
ICLR
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
2023 A* conf
Tuning Computer Vision Models With Task Rewards.
ICML
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
2023 J jnl
Tuning computer vision models with task rewards.
CoRR
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
2022 A* conf
Adversarial Masking for Self-Supervised Learning.
ICML
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
2022 J jnl
Adversarial Masking for Self-Supervised Learning.
CoRR
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
2022 A* conf
Gradient Matching for Domain Generalization.
ICLR
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve
2022 J jnl
How robust are pre-trained models to distribution shift?
CoRR
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
2022 A* conf
Learning Multimodal VAEs through Mutual Supervision.
ICLR
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy
2021 J jnl
Gradient Matching for Domain Generalization.
CoRR
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve
2021 J jnl
Learning Multimodal VAEs through Mutual Supervision.
CoRR
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth
2021 A* conf
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models.
ICLR
Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth
2020 J jnl
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models.
CoRR
Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth
2019 J jnl
Action Anticipation with RBF Kernelized Feature Mapping RNN.
CoRR
Yuge Shi, Basura Fernando, Richard I. Hartley
2019 A* conf
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models.
NeurIPS
Yuge Shi, Siddharth Narayanaswamy, Brooks Paige, Philip H. S. Torr
2019 J jnl
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models.
CoRR
Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr
2018 — conf
Action Anticipation with RBF Kernelized Feature Mapping RNN.
ECCV (10)
Yuge Shi, Basura Fernando, Richard Hartley