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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 4 months ago
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Summary by jerpint 4 months ago
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Summary by Qure.ai 2 years ago
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Summary by CodyWild 1 month ago
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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 5 months ago
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Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan and Luke Vilnis and Quoc V. Le and Ilya Sutskever and Lukasz Kaiser and Karol Kurach and James Martens
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 6 months ago
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang and Yixuan Li and R. Srikant
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 6 months ago
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AI Safety Gridworlds
Jan Leike and Miljan Martic and Victoria Krakovna and Pedro A. Ortega and Tom Everitt and Andrew Lefrancq and Laurent Orseau and Shane Legg
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by dniku 6 months ago
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Summary by CodyWild 2 months ago
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Summary by Oleksandr Bailo 2 months ago
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