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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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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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Summary by Abhishek Das 2 years ago
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Summary by Alexander Jung 2 years ago
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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio and Tristan Deleu and Nasim Rahaman and Rosemary Ke and Sébastien Lachapelle and Olexa Bilaniuk and Anirudh Goyal and Christopher Pal
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Joseph Paul Cohen 4 months ago
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Summary by Kirill Pevzner 2 years ago
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Summary by Denny Britz 3 years ago
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Summary by Joseph Paul Cohen 2 years ago
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An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow and Mehdi Mirza and Da Xiao and Aaron Courville and Yoshua Bengio
arXiv e-Print archive - 2013 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Summary by Andrea Walter Ruggerini 1 month 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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