Machine Learning Group
Department of Computer Science
University of Toronto
Email: jsnell [at] cs [dot] toronto [dot] edu
Curriculum vitae (last updated: May 2017).
Prototypical Networks for Few-Shot Learning
Jake Snell, Kevin Swersky & Richard Zemel. (NIPS 2017)
[pdf] [supplementary] [code]
Stochastic Segmentation Trees for Multiple Ground Truths
Jake Snell & Richard S. Zemel. (UAI 2017)
Learning to Generate Images with Perceptual Similarity Metrics
Jake Snell, Karl Ridgeway, Renjie Liao, Brett Roads, Michael C. Mozer & Richard S. Zemel. (ICIP 2017)
My research interests lie primarily in deep learning, few-shot learning and generative modeling. In the past I've also worked on structured output learning and image segmentation.
My supervisor is Rich Zemel.