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Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz and Jelena Luketina and Wojciech M. Czarnecki and Agnieszka Grabska-Barwinska and Yee Whye Teh and Razvan Pascanu and Raia Hadsell
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by devin132 3 months ago
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Unsupervised Learning via Meta-Learning
Kyle Hsu and Sergey Levine and Chelsea Finn
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by CodyWild 1 year ago
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Summary by Hugo Larochelle 3 years ago
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Summary by David Stutz 1 year 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 7 months ago
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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro and Sameer Singh and Carlos Guestrin
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Martin Thoma 3 years ago
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Deep contextualized word representations
Matthew E. Peters and Mark Neumann and Mohit Iyyer and Matt Gardner and Christopher Clark and Kenton Lee and Luke Zettlemoyer
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CL

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Summary by mnoukhov 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 6 months ago
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Summary by CodyWild 5 months ago
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Summary by David Stutz 8 months ago
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