The least-control principle for local learning at equilibrium

4 July 2022

Papers citing "The least-control principle for local learning at equilibrium"

22 / 22 papers shown

Title
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule Xinhao Fan S. P. Mysore 72 0 0 23 May 2024
Credit Assignment in Neural Networks through Deep Feedback Control Alexander Meulemans Matilde Tristany Farinha Javier García Ordónez Pau Vilimelis Aceituno João Sacramento Benjamin Grewe 48 36 0 15 Jun 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 66 114 0 26 Nov 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 80 211 0 15 Jun 2020
Stable and expressive recurrent vision models Drew Linsley A. Ashok L. Govindarajan Rex G Liu Thomas Serre 47 45 0 22 May 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 50 82 0 26 Mar 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 106 414 0 06 Nov 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs J. Kubilius Martin Schrimpf Kohitij Kar Ha Hong N. Majaj ... Kailyn Schmidt Aran Nayebi Daniel M. Bear Daniel L. K. Yamins J. DiCarlo 92 259 0 13 Sep 2019
Deep Declarative Networks: A New Hope Stephen Gould Leonid Sigal Dylan Campbell AI4CE 66 105 0 11 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 102 855 0 10 Sep 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 54 179 0 17 Aug 2019
Dendritic cortical microcircuits approximate the backpropagation algorithm João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn 78 312 0 26 Oct 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 82 244 0 12 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 404 5,099 0 19 Jun 2018
Group Normalization Yuxin Wu Kaiming He 228 3,654 0 22 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 227 2,232 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 818 11,894 0 09 Mar 2017
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network Aditya Gilra W. Gerstner 40 80 0 21 Feb 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 352 7,498 0 02 Dec 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 53 173 0 20 Nov 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 156 2,800 0 20 Feb 2015
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 91 350 0 23 Dec 2014