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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia and Pau Rodriguez and Oleksiy Ostapenko and Fabrice Normandin and Min Lin and Lucas Caccia and Issam Laradji and Irina Rish and Alexande Lacoste and David Vazquez and Laurent Charlin
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.AI, cs.LG

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Summary by Massimo Caccia 2 weeks ago
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Group Normalization
Yuxin Wu and Kaiming He
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG

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Summary by CodyWild 1 year ago
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Summary by Joseph Paul Cohen 3 years ago
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Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma and Bo Li and Yisen Wang and Sarah M. Erfani and Sudanthi Wijewickrema and Grant Schoenebeck and Dawn Song and Michael E. Houle and James Bailey
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 1 year ago
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Summary by CodyWild 4 months 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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Layer Normalization
Jimmy Lei Ba and Jamie Ryan Kiros and Geoffrey E. Hinton
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Denny Britz 3 years ago
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu and Weinan Zhang and Jun Wang and Yong Yu
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by Jon Gauthier 3 years ago
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Relational Forward Models for Multi-Agent Learning
Andrea Tacchetti and H. Francis Song and Pedro A. M. Mediano and Vinicius Zambaldi and Neil C. Rabinowitz and Thore Graepel and Matthew Botvinick and Peter W. Battaglia
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.MA, stat.ML

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Summary by CodyWild 1 year ago
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Summary by Qure.ai 2 years ago
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