Biologically Motivated Algorithms for Propagating Local Target Representations

26 May 2018

Papers citing "Biologically Motivated Algorithms for Propagating Local Target Representations"

22 / 22 papers shown

Title
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 37 0 0 07 Oct 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 30 0 0 18 Sep 2024
Block-local learning with probabilistic latent representations David Kappel Khaleelulla Khan Nazeer Cabrel Teguemne Fokam Christian Mayr Anand Subramoney 24 4 0 24 May 2023
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop Manas Gupta Sarthak Ketanbhai Modi Hang Zhang Joon Hei Lee J. Lim 27 7 0 09 Dec 2022
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images Alexander Ororbia A. Mali BDL 35 10 0 22 Nov 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 31 10 0 16 Nov 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets M. Ernoult Fabrice Normandin A. Moudgil Sean Spinney Eugene Belilovsky Irina Rish Blake A. Richards Yoshua Bengio 19 28 0 31 Jan 2022
Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori Luca Pinchetti Beren Millidge Yuhang Song Tianyi Bao Rafal Bogacz Thomas Lukasiewicz 38 33 0 31 Jan 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems A. Mali Alexander Ororbia Daniel Kifer L. Giles 19 4 0 27 Jan 2022
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy Ila Fiete 39 9 0 15 Jun 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 27 24 0 05 Mar 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 38 3 0 09 Jan 2021
Relaxing the Constraints on Predictive Coding Models Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 21 23 0 02 Oct 2020
Contrastive Similarity Matching for Supervised Learning Shanshan Qin N. Mudur Cengiz Pehlevan SSL DRL 16 1 0 24 Feb 2020
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 21 25 0 23 Aug 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 11 124 0 18 Aug 2019
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation Yu-Wei Kao Hung-Hsuan Chen BDL 20 5 0 13 Jun 2019
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations Alexander Ororbia A. Mali C. Lee Giles Daniel Kifer 19 63 0 17 Oct 2018
A Neural Temporal Model for Human Motion Prediction Anand Gopalakrishnan A. Mali Daniel Kifer C. Lee Giles Alexander Ororbia 3DH 25 173 0 09 Sep 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 17 239 0 12 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 9 165 0 26 Jun 2018