Jimmy Ba
Appointment
Canada CIFAR AI Chair (on leave)
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2018
Jimmy Ba is a Canada CIFAR AI Chair at the Vector Institute and an assistant professor at the Department of Computer Science at the University of Toronto.
Ba’s long-term research goal is to address a computational question on building general problem-solving machines with human-like efficiency and adaptability. In particular, his research interests focus on the development of efficient learning algorithms for deep neural networks.
Awards
- Alfred P. Sloan Research Fellow, 2023
- Facebook Graduate Student Fellowship, 2016-2018
- Massey College Junior Fellowship, 2013-2017
- Rogers Scholarship, Department of Electrical and Computer Engineering, University of Toronto, 2011-present
- Electrical and Computer Engineering Outstanding Student Award, University of Toronto, 2009-2011
- University of Toronto Excellent Award in the Natural Science and Engineering, 2009-2010
Relevant Publications
- Juhan Bae, Michael R Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, and Roger Grosse. “Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve”. In: International Conference on Learning Representations. 2023.
- Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba. “Large language models are human-level prompt engineers”. In: International Conference on Learning Representations. 2023.
- Jimmy Ba, Murat A Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, and Greg Yang. “High-dimensional asymptotics of feature learning: How one gradient step improves the representation”. In: Advances in Neural Information Processing Systems (2022).
- Keiran Paster, Sheila McIlraith, and Jimmy Ba. “You Can’t Count on Luck: Why Decision Trans- formers Fail in Stochastic Environments”. In: Advances in Neural Information Processing Systems (2022).
- Yongchao Zhou, Ehsan Nezhadarya, and Jimmy Ba. “Dataset distillation using neural feature regression”. In: Advances in Neural Information Processing Systems (2022).