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Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi and Lucas Caccia and Eugene Belilovsky and Massimo Caccia and Laurent Charlin and Tinne Tuytelaars
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Massimo Caccia 1 month 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 2 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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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 Hugo Larochelle 2 years ago
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6 Comments
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Summary by Geneviève Boucher 1 year ago
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Summary by Denny Britz 3 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 2 weeks 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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Deep Learning with Separable Convolutions
François Chollet
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Summary by Qure.ai 2 years ago
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