Shi, Yuge

13 publications

ICML 2024 Genie: Generative Interactive Environments 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 Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando De Freitas, Satinder Singh, Tim Rocktäschel

ICML 2024 Memory Consolidation Enables Long-Context Video Understanding Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J Henaff

ICML 2024 Position: Open-Endedness Is Essential for Artificial Superhuman Intelligence Edward Hughes, Michael D Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel

ICLR 2023 How Robust Is Unsupervised Representation Learning to Distribution Shift? Yuge Shi, Imant Daunhawer, Julia E Vogt, Philip Torr, Amartya Sanyal

ICML 2023 Tuning Computer Vision Models with Task Rewards André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai

ICML 2022 Adversarial Masking for Self-Supervised Learning Yuge Shi, N Siddharth, Philip Torr, Adam R Kosiorek

ICLR 2022 Gradient Matching for Domain Generalization Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve

ICMLW 2022 How Robust Are Pre-Trained Models to Distribution Shift? Yuge Shi, Imant Daunhawer, Julia E Vogt, Philip Torr, Amartya Sanyal

ICMLW 2022 How Robust Are Pre-Trained Models to Distribution Shift? Yuge Shi, Imant Daunhawer, Julia E Vogt, Philip Torr, Amartya Sanyal

ICLR 2022 Learning Multimodal VAEs Through Mutual Supervision Tom Joy, Yuge Shi, Philip Torr, Tom Rainforth, Sebastian M Schmon, Siddharth N

ICLR 2021 Relating by Contrasting: A Data-Efficient Framework for Multimodal Generative Models Yuge Shi, Brooks Paige, Philip Torr, Siddharth N

NeurIPS 2019 Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi, Siddharth N, Brooks Paige, Philip Torr

ECCV 2018 Action Anticipation with RBF Kernelized Feature Mapping RNN Yuge Shi, Basura Fernando, Richard Hartley