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Summary by Hugo Larochelle 3 years ago
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End-to-End Instance Segmentation and Counting with Recurrent Attention
Mengye Ren and Richard S. Zemel
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CV

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Summary by Joseph Paul Cohen 3 years 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 7 months ago
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Summary by CodyWild 5 months ago
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Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz and Jelena Luketina and Wojciech M. Czarnecki and Agnieszka Grabska-Barwinska and Yee Whye Teh and Razvan Pascanu and Raia Hadsell
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by devin132 3 months ago
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Unsupervised Learning via Meta-Learning
Kyle Hsu and Sergey Levine and Chelsea Finn
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by CodyWild 1 year ago
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Summary by Alexander Jung 2 years ago
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Summary by David Stutz 1 year 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 7 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 3 years ago
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