Machine Learning Group
Department of Computer Science
University of Toronto, Vector Institute
Email: jsnell [at] cs [dot] toronto [dot] edu
Curriculum vitae (last updated: Jun 2018).
I am currently away for an internship from September - December 2018 at SK T-Brain in Seoul, South Korea.
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell & Richard Zemel. (NIPS 2018)
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Josh B. Tenenbaum, Hugo Larochelle & Richard Zemel. (ICLR 2018)
[pdf] [arxiv] [code]
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.