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Prototypical Networks for Few-shot Learning
Jake Snell and Kevin Swersky and Richard S. Zemel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 1 year ago
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Meta-Learning with Implicit Gradients
Aravind Rajeswaran and Chelsea Finn and Sham Kakade and Sergey Levine
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, math.OC, stat.ML

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Summary by Prateek Gupta 4 weeks ago
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Summary by Alexander Jung 2 years ago
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Summary by Kirill Pevzner 2 years ago
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Summary by Hugo Larochelle 3 years ago
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Fully Convolutional Networks for Semantic Segmentation
Jonathan Long and Evan Shelhamer and Trevor Darrell
arXiv e-Print archive - 2014 via Local arXiv
Keywords: cs.CV

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Summary by Martin Thoma 3 years ago
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Globally Normalized Transition-Based Neural Networks
Daniel Andor and Chris Alberti and David Weiss and Aliaksei Severyn and Alessandro Presta and Kuzman Ganchev and Slav Petrov and Michael Collins
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CL, cs.LG, cs.NE

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Summary by Udibr 3 years ago
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One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro and Sergey Bartunov and Matthew Botvinick and Daan Wierstra and Timothy Lillicrap
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by Hugo Larochelle 3 years ago
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Learning with Opponent-Learning Awareness
Jakob N. Foerster and Richard Y. Chen and Maruan Al-Shedivat and Shimon Whiteson and Pieter Abbeel and Igor Mordatch
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.AI, cs.GT

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Summary by mnoukhov 1 year ago
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RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina and Michael Gillhofer and Michael Widrich and Thomas Unterthiner and Sepp Hochreiter
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, math.OC, stat.ML

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Summary by wassname 1 year ago
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