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Jimmy Ba

Appointment

  • Canada CIFAR AI Chair
  • Pan-Canadian AI Strategy

Connect

University of Toronto

Google Scholar

About

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

  • 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

  • Ba, J. L., Kiros, J. R., & Hinton, G. E. (2016). Layer normalization.

  • Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., … & Bengio, Y. (2015). Show, attend and tell: Neural image caption generation with visual attention. In International conference on machine learning (pp. 2048-2057). PMLR.

  • Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization.

  • Ba, L. J., & Caruana, R. (2014). Do deep nets really need to be deep?

  • Ba, J., Mnih, V., & Kavukcuoglu, K. (2014). Multiple object recognition with visual attention.

Institution

  • University of Toronto
  • Vector Institute

Department

School of Computer Science

Education

  • PhD (Electrical and Computer Engineering), University of Toronto
  • MAS (Electrical and Computer Engineering ), University of Toronto
  • BAS (Electrical and Computer Engineering), University of Toronto

Country

  • Canada

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