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Multi-layer Hebbian networks with modern deep learning frameworks


Jul 04, 2021
Thomas Miconi

* All code available at https://github.com/ThomasMiconi/HebbianCNNPyTorch 

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Enabling Continual Learning with Differentiable Hebbian Plasticity


Jun 30, 2020
Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor

* Published as a conference paper at IJCNN 2020 

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Learning to Continually Learn


Mar 04, 2020
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney


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Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity


Feb 24, 2020
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley

* 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 
* Presented at the 7th International Conference on Learning Representations (ICLR 2019) 

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Estimating Q(s,s') with Deep Deterministic Dynamics Gradients


Feb 21, 2020
Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski


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First-Order Preconditioning via Hypergradient Descent


Oct 18, 2019
Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal


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Differentiable plasticity: training plastic neural networks with backpropagation


Jul 31, 2018
Thomas Miconi, Jeff Clune, Kenneth O. Stanley

* Proceedings of the 35th International Conference on Machine Learning (ICML2018), Stockholm, Sweden, PMLR 80, 2018 
* Presented at ICML 2018 

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The impossibility of "fairness": a generalized impossibility result for decisions


Sep 11, 2017
Thomas Miconi


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Learning to learn with backpropagation of Hebbian plasticity


Oct 19, 2016
Thomas Miconi


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Neural networks with differentiable structure


Aug 06, 2016
Thomas Miconi


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