Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass

27 January 2022

Papers citing "Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass"

34 / 34 papers shown

Title
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks M. Apolinario Kaushik Roy Charlotte Frenkel 104 0 0 03 Feb 2025
Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Lorenzo Pes Maryam Dehbashizadeh Chehreghan Rick Luiken Sander Stuijk Ripalta Stabile Federico Corradi 38 0 0 07 Jan 2025
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients Katharina Flügel D. Coquelin Marie Weiel Achim Streit Markus Gotz 25 0 0 23 Oct 2024
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters Yuming Zhang Peizhe Wang Shouxin Zhang Dongzhi Guan Jiabin Liu Junhao Su 38 0 0 02 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 36 1 0 30 Sep 2024
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas 35 3 0 17 Aug 2024
Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation Amirreza Ahmadnejad S. Koohi 29 2 0 15 Aug 2024
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion Junhao Su Chenghao He Feiyu Zhu Xiaojie Xu Dongzhi Guan Chenyang Si 53 2 0 08 Jul 2024
Momentum Auxiliary Network for Supervised Local Learning Junhao Su Changpeng Cai Feiyu Zhu Chenghao He Xiaojie Xu Dongzhi Guan Chenyang Si 30 4 0 08 Jul 2024
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network Yuming Zhang Shouxin Zhang Peizhe Wang Feiyu Zhu Dongzhi Guan Junhao Su Jiabin Liu Changpeng Cai 33 2 0 24 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Philip H. S. Torr Guohao Li 37 2 0 07 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 40 2 0 24 May 2024
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation Ali Karkehabadi Houman Homayoun Avesta Sasan 29 9 0 21 May 2024
On-device Online Learning and Semantic Management of TinyML Systems Haoyu Ren Xue Li Darko Anicic Thomas Runkler 42 3 0 13 May 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 35 3 0 08 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
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
Training Convolutional Neural Networks with the Forward-Forward algorithm Riccardo Scodellaro A. Kulkarni Frauke Alves Matthias Schröter 24 7 0 22 Dec 2023
The Trifecta: Three simple techniques for training deeper Forward-Forward networks Thomas Dooms Ing Jyh Tsang José Oramas 33 4 0 29 Nov 2023
Effective Learning with Node Perturbation in Multi-Layer Neural Networks Sander Dalm Marcel van Gerven Nasir Ahmad AAML 30 0 0 02 Oct 2023
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 38 1 0 29 Sep 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 17 7 0 05 Sep 2023
Extending the Forward Forward Algorithm Saumya Gandhi Ritu Gala Jonah Kornberg Advaith Sridhar 37 6 0 09 Jul 2023
Understanding Predictive Coding as an Adaptive Trust-Region Method Francesco Innocenti Ryan Singh Christopher L. Buckley 23 0 0 29 May 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 30 30 0 22 May 2023
Feed-Forward Optimization With Delayed Feedback for Neural Networks Katharina Flügel D. Coquelin Marie Weiel Charlotte Debus Achim Streit Markus Goetz AI4CE 40 7 0 26 Apr 2023
Polarity is all you need to learn and transfer faster Qingyang Wang Michael A. Powell Ali Geisa Eric W. Bridgeford Joshua T. Vogelstein 31 3 0 29 Mar 2023
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization R. Srinivasan Francesca Mignacco M. Sorbaro Maria Refinetti A. Cooper Gabriel Kreiman Giorgia Dellaferrera 24 15 0 10 Feb 2023
Graph Neural Networks Go Forward-Forward Daniele Paliotta Mathieu Alain Bálint Máté Franccois Fleuret GNN 17 7 0 10 Feb 2023
The Predictive Forward-Forward Algorithm Alexander Ororbia A. Mali 20 37 0 04 Jan 2023
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits Lyes Khacef Philipp Klein M. Cartiglia Arianna Rubino Giacomo Indiveri Elisabetta Chicca 22 35 0 30 Sep 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 23 0 0 01 Aug 2022
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 40 432 0 27 Sep 2021
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012