Towards Scaling Difference Target Propagation by Learning Backprop Targets

31 January 2022

Papers citing "Towards Scaling Difference Target Propagation by Learning Backprop Targets"

21 / 21 papers shown

Title
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 127 5 0 17 Feb 2025
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 46 0 0 04 Nov 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 28 1 0 30 Sep 2024
Towards training digitally-tied analog blocks via hybrid gradient computation Timothy Nest M. Ernoult 44 1 0 05 Sep 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 27 7 0 16 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 25 1 0 13 Feb 2024
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 12 7 0 05 Sep 2023
Biologically-Motivated Learning Model for Instructed Visual Processing R. Abel S. Ullman 20 0 0 04 Jun 2023
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks Zachary Robertson Oluwasanmi Koyejo 23 0 0 02 Jun 2023
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
Understanding and Improving Optimization in Predictive Coding Networks Nick Alonso J. Krichmar Emre Neftci 73 7 0 23 May 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 22 30 0 22 May 2023
Blockwise Self-Supervised Learning at Scale Shoaib Ahmed Siddiqui David M. Krueger Yann LeCun Stéphane Deny SSL 25 15 0 03 Feb 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons R. Høier D. Staudt Christopher Zach 26 11 0 02 Feb 2023
Learning efficient backprojections across cortical hierarchies in real time Kevin Max Laura Kriener Garibaldi Pineda García Thomas Nowotny Ismael Jaras Walter Senn Mihai A. Petrovici OOD 17 14 0 20 Dec 2022
Fixed-Weight Difference Target Propagation Tatsukichi Shibuya Nakamasa Inoue Rei Kawakami Ikuro Sato AAML 16 2 0 19 Dec 2022
Predictive Coding beyond Gaussian Distributions Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 29 11 0 07 Nov 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux Friedemann Zenke 26 32 0 01 Sep 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 21 9 0 02 Jun 2022
A Theoretical Framework for Inference Learning Nick Alonso Beren Millidge J. Krichmar Emre Neftci 17 16 0 01 Jun 2022
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 19 4 0 02 Dec 2021