Statistics
Publications
7
Citations
6.4K
H-Index
7
Active since
2017
Affiliations
Jake Snell is an author at University of Toronto specializing in machine learning, representation learning, and computer science.
Publications per year
2017–2019
7
7
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 5.2K citations · Full text
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi et al. · arXiv (Cornell University) · 2018 · 728 citations · Full text
Meta-Learning for Semi-Supervised Few-Shot Classification
Eleni Triantafillou, Hugo Larochelle, Jake Snell et al. · arXiv (Cornell University) · 2018 · 203 citations · Full text
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 85 citations · Full text
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