2017
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
arXiv (Cornell University) OA
5.2k
cites
Jake Snell
Faculty
Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image SynthesisMachine Learning and Data ClassificationNeural Networks and Applications
About
Jake Snell is a Computer Science scholar at Princeton University. Research spans Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis, Machine Learning and Data Classification. 20 works, 6.4k citations (h-index 8).
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Affiliation on publications · Princeton University
Most-cited work
2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
arXiv (Cornell University) OA
725
cites
2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Eleni Triantafillou, Hugo Larochelle, Jake Snell, Josh Tenenbaum, Kevin Swersky, Mengye Ren, Richard S. Zemel, Sachin Ravi
arXiv (Cornell University) OA
195
cites