Yuge Shi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
3
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Position: Open-Endedness is Essential for Artificial Superhuman Intelligence. | Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktschel |
| 2024 | ICML | Memory Consolidation Enables Long-Context Video Understanding. | Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hnaff |
| 2024 | ICML | 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 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 Rocktschel |
| 2023 | ICLR | How robust is unsupervised representation learning to distribution shift? | Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal |
| 2023 | ICML | Tuning Computer Vision Models With Task Rewards. | Andr Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai |
| 2022 | ICLR | Learning Multimodal VAEs through Mutual Supervision. | Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy |
| 2022 | ICLR | Gradient Matching for Domain Generalization. | Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve |
| 2022 | ICML | Adversarial Masking for Self-Supervised Learning. | Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek |
| 2021 | ICLR | Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. | Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth |
| 2018 | ECCV | Action Anticipation with RBF Kernelized Feature Mapping RNN. | Yuge Shi, Basura Fernando, Richard Hartley |