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We present a novel method for learning the weights of an artificial neural network - a Message Passing Learning Protocol (MPLP).
Learning a synaptic learning rule
Y. Bengio, S. Bengio, and J. Cloutier · 1991
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A neural network that embeds its own meta-levels
J. Schmidhuber · 1993
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On the optimization of a synaptic learning rule, 1997
Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, and Jan Gecsei · 1997
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Learning to learn using gradient descent
Sepp Hochreiter, A. Steven Younger, and Peter R. Conwell · 2001
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Meta-learning with backpropagation
A. S. Younger, S. Hochreiter, and P. R. Conwell · 2001
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Random feedback weights support learning in deep neural networks, 2014
Timothy P. Lillicrap, Daniel Cownden, Douglas B. Tweed, and Colin J. Akerman · 2014
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Learning to learn by gradient descent by gradient descent, 2016
Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, and Nando de Freitas · 2016
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Direct feedback alignment provides learning in deep neural networks, 2016
Arild Nøkland · 2016
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Model-agnostic meta-learning for fast adaptation of deep networks, 2017
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
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Meta-sgd: Learning to learn quickly for few-shot learning, 2017
Zhenguo Li, Fengwei Zhou, Fei Chen, and Hang Li · 2017
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Low-shot learning with imprinted weights, 2017
Hang Qi, Matthew Brown, and David G. Lowe · 2017
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Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2017
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How to train your maml, 2018
Antreas Antoniou, Harrison Edwards, and Amos Storkey · 2018
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Dynamic few-shot visual learning without forgetting
Spyros Gidaris and Nikos Komodakis · 2018
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Meta-learning update rules for unsupervised representation learning, 2018
Luke Metz, Niru Maheswaranathan, Brian Cheung, and Jascha Sohl-Dickstein · 2018
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Continual lifelong learning with neural networks: A review, 2018
German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, and Stefan Wermter · 2018
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Online meta-learning, 2019
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, and Sergey Levine · 2019
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Meta-learning representations for continual learning, 2019
Khurram Javed and Martha White · 2019
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Meta-dataset: A dataset of datasets for learning to learn from few examples, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, and Hugo Larochelle · 2019
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Learning to continually learn, 2020
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, and Nick Cheney · 2020
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Finding online neural update rules by learning to remember, 2020
Karol Gregor · 2020
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Meta-learning in neural networks: A survey, 2020
Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey · 2020
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