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Summary by jerpint 4 months 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 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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Summary by CodyWild 2 months ago
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A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang and Ji Gao and Yanjun Qi
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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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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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle and Michael Carbin
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.NE

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Summary by David Stutz 6 months ago
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