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For artificial general intelligence (AGI) it would be efficient if multiple users trained the same giant neural network, permitting parameter reuse, without catastrophic forgetting.
Continual Learning in Reinforcement Environments
M. B. Ring · 1994
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Multitask learning
R. Caruana · 1998
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Interactions between frontal cortex and basal ganglia in working memory: a computational model
M. J. Frank, B. Loughry, and R. C. O’Reilly · 2001
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Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
R. C. O’Reilly and M. J. Frank · 2006
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Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system
T. E. Hazy, M. J. Frank, and R. C. O’Reilly · 2007
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Evolvable neuronal paths: a novel basis for information and search in the brain
C. Fernando, V. Vasas, E. Szathmáry, and P. Husbands · 2011
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The microbial genetic algorithm
I. Harvey · 2011
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An introduction to intertask transfer for reinforcement learning
M. E. Taylor and P. Stone · 2011
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Selectionist and evolutionary approaches to brain function: a critical appraisal
C. T. Fernando, E. Szathmary, and P. Husbands · 2012
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Online extreme evolutionary learning machines
J. E. Auerbach, C. Fernando, and D. Floreano · 2014
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Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
Cited alongside, same era.
Net2net: Accelerating learning via knowledge transfer
T. Chen, I. Goodfellow, and J. Shlens · 2015
Reinforcement learning with unsupervised auxiliary tasks
M. Jaderberg, V. Mnih, W. M. Czarnecki, T. Schaul, J. Z. Leibo, D. Silver, and K. Kavukcuoglu · 2016
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Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
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Deep exploration via bootstrapped dqn
I. Osband, C. Blundell, A. Pritzel, and B. Van Roy · 2016
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A. A. Rusu, N. C. Rabinowitz, G. Desjardins, H. Soyer, J. Kirkpatrick, K. Kavukcuoglu, R. Pascanu, and R. Hadsell · 2016
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Cited alongside, same era.
Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, and J. Dean · 2015
Cited alongside, same era.
Reading digits in natural images with unsupervised feature learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng
Cited in the paper.
S. Saxena and J. Verbeek · 2016
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Swapout: Learning an ensemble of deep architectures
S. Singh, D. Hoiem, and D. Forsyth · 2016
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Outrageously large neural networks: A sparsely-gated mixture-of-experts layer
N. Shazeer, A. Mirhoseini, K. Maziarz, A. Davis, Q. Le, G. Hinton, and J. Dean · 2017
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