Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning

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Theano: new features and speed improvements

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Do deep nets really need to be deep?

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How important is weight symmetry in backpropagation?

Qianli Liao, Joel Z Leibo, and Tomaso A Poggio · 2016

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Random synaptic feedback weights support error backpropagation for deep learning

Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, and Colin J Akerman · 2016

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Direct feedback alignment provides learning in deep neural networks

Arild Nøkland · 2016

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Equivalence of equilibrium propagation and recurrent backpropagation

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Benjamin Scellier and Yoshua Bengio · 2017

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Equilibrium propagation: Bridging the gap between energy-based models and backpropagation

Benjamin Scellier and Yoshua Bengio · 2017

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Towards deep learning with segregated dendrites

Jordan Guerguiev, Timothy P Lillicrap, and Blake A Richards · 2017

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Event-driven random back-propagation: Enabling neuromorphic deep learning machines

Emre O Neftci, Charles Augustine, Somnath Paul, and Georgios Detorakis · 2017

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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms

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Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017

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