2017
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
arXiv (Cornell University) OA
5.2k
cites
Faculty
Richard S. Zemel is a Computer Science scholar at Columbia University. Research spans Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Neural Networks and Applications. 272 works, 35k citations (h-index 65).
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Affiliation on publications · Columbia University
Jake Snell, Kevin Swersky, Richard S. Zemel
arXiv (Cornell University) OA
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard S. Zemel
Gregory E. Koch, Richard S. Zemel, Ruslan Salakhutdinov