How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation

29 July 2014

Papers citing "How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation"

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Title
Multiplicative Learning Han Kim Hyungjoon Soh V. Periwal Junghyo Jo 52 0 0 13 Mar 2025
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 130 5 0 17 Feb 2025
Sign-Symmetry Learning Rules are Robust Fine-Tuners Aymene Berriche Mehdi Zakaria Adjal Riyadh Baghdadi AAML 52 0 0 09 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
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines Jesus Garcia Fernandez Nasir Ahmad Marcel van Gerven 29 1 0 17 Oct 2024
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 37 0 0 07 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 50 1 0 30 Sep 2024
Momentum Auxiliary Network for Supervised Local Learning Junhao Su Changpeng Cai Feiyu Zhu Chenghao He Xiaojie Xu Dongzhi Guan Chenyang Si 46 4 0 08 Jul 2024
Towards Biologically Plausible Computing: A Comprehensive Comparison Changze Lv Yufei Gu Zhengkang Guo Zhibo Xu Yixin Wu ... Tianlong Li Jianhao Zhu Cenyuan Zhang Zixuan Ling Xiaoqing Zheng 38 1 0 23 Jun 2024
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule Xinhao Fan S. P. Mysore 37 0 0 23 May 2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations Jesus Garcia Fernandez Sander Keemink Marcel van Gerven AAML 45 4 0 14 May 2024
Learning Sequence Attractors in Recurrent Networks with Hidden Neurons Yao Lu Si Wu 48 3 0 03 Apr 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 47 1 0 16 Mar 2024
Scaling Supervised Local Learning with Augmented Auxiliary Networks Chenxiang Ma Jibin Wu Chenyang Si Kay Chen Tan 49 2 0 27 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 37 7 0 16 Feb 2024
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training Keitaro Sakamoto Issei Sato 24 4 0 14 Feb 2024
Zenkai -- Framework For Exploring Beyond Backpropagation Greg Short 25 0 0 16 Nov 2023
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment Tahereh Toosi Elias B. Issa 21 2 0 31 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 27 7 0 05 Sep 2023
Biologically-Motivated Learning Model for Instructed Visual Processing R. Abel S. Ullman 25 0 0 04 Jun 2023
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks Zachary Robertson Oluwasanmi Koyejo 40 0 0 02 Jun 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 26 15 0 20 Dec 2022
Fixed-Weight Difference Target Propagation Tatsukichi Shibuya Nakamasa Inoue Rei Kawakami Ikuro Sato AAML 22 3 0 19 Dec 2022
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 18 11 0 08 Dec 2022
Predictive Coding beyond Gaussian Distributions Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 32 11 0 07 Nov 2022
Scaling Forward Gradient With Local Losses Mengye Ren Simon Kornblith Renjie Liao Geoffrey E. Hinton 81 49 0 07 Oct 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux Friedemann Zenke 38 33 0 01 Sep 2022
A Theoretical Framework for Inference Learning Nick Alonso Beren Millidge J. Krichmar Emre Neftci 17 16 0 01 Jun 2022
Biologically-inspired neuronal adaptation improves learning in neural networks Yoshimasa Kubo Eric Chalmers Artur Luczak 19 6 0 08 Apr 2022
Signal Propagation: A Framework for Learning and Inference In a Forward Pass Adam A. Kohan E. Rietman H. Siegelmann 27 26 0 04 Apr 2022
Constrained Parameter Inference as a Principle for Learning Nasir Ahmad Ellen Schrader Marcel van Gerven 18 10 0 22 Mar 2022
Recent Advances and New Frontiers in Spiking Neural Networks Duzhen Zhang Shuncheng Jia Qingyu Wang AAML AI4CE 21 23 0 12 Mar 2022
Gradients without Backpropagation A. G. Baydin Barak A. Pearlmutter Don Syme Frank Wood Philip Torr 38 66 0 17 Feb 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
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization Frederik Benzing ODL 43 23 0 28 Jan 2022
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 27 4 0 02 Dec 2021
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization Shivam Garg Santosh Vempala 30 3 0 17 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 72 69 0 09 Nov 2021
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning Weizhi Lu Mingrui Chen Kai Guo Weiyu Li 13 0 0 20 Oct 2021
Training Spiking Neural Networks Using Lessons From Deep Learning Jason Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Bennamoun Doo Seok Jeong Wei D. Lu 40 437 0 27 Sep 2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms Albert Jiménez Sanfiz Mohamed Akrout OOD AAML 20 8 0 30 Aug 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 26 1 0 23 Jun 2021
Credit Assignment in Neural Networks through Deep Feedback Control Alexander Meulemans Matilde Tristany Farinha Javier García Ordónez Pau Vilimelis Aceituno João Sacramento Benjamin Grewe 31 35 0 15 Jun 2021
Credit Assignment Through Broadcasting a Global Error Vector David G. Clark L. F. Abbott SueYeon Chung 27 23 0 08 Jun 2021
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods Christopher Zach FedML 16 5 0 15 May 2021
Meta-Learning Bidirectional Update Rules Mark Sandler Max Vladymyrov A. Zhmoginov Nolan Miller Andrew Jackson T. Madams Blaise Agüera y Arcas 27 15 0 10 Apr 2021
Reverse Differentiation via Predictive Coding Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 30 26 0 08 Mar 2021
Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks Sander Dalm Nasir Ahmad L. Ambrogioni Marcel van Gerven 33 1 0 23 Feb 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
Differentiable Programming à la Moreau Vincent Roulet Zaïd Harchaoui 23 5 0 31 Dec 2020