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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 2 months ago
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Summary by Oleksandr Bailo 1 week ago
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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun
arXiv e-Print archive - 2014 via Local arXiv
Keywords: cs.CV

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Summary by Martin Thoma 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 5 months ago
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Summary by David Stutz 4 months ago
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Summary by Hadrien Bertrand 3 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 2 years ago
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Using Fast Weights to Attend to the Recent Past
Jimmy Ba and Geoffrey Hinton and Volodymyr Mnih and Joel Z. Leibo and Catalin Ionescu
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Summary by Hugo Larochelle 3 years ago
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Summary by jerpint 1 month ago
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Summary by Denny Britz 3 years ago
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