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The Predictive Forward-Forward Algorithm

4 January 2023

Papers citing "The Predictive Forward-Forward Algorithm"

30 / 30 papers shown

Title
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas AAML CLL 96 0 0 10 Jan 2025
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 119 2 0 17 Sep 2024
The Forward-Forward Algorithm: Some Preliminary Investigations Geoffrey E. Hinton 108 272 0 27 Dec 2022
Signal Propagation: A Framework for Learning and Inference In a Forward Pass Adam A. Kohan E. Rietman H. Siegelmann 60 27 0 04 Apr 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems A. Mali Alexander Ororbia Daniel Kifer L. Giles 43 4 0 27 Jan 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass Giorgia Dellaferrera Gabriel Kreiman 67 54 0 27 Jan 2022
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 64 64 0 16 Sep 2021
Reverse Differentiation via Predictive Coding Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 54 26 0 08 Mar 2021
The Neural Coding Framework for Learning Generative Models Alexander Ororbia Daniel Kifer GAN 70 66 0 07 Dec 2020
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages Daniel Jeffrey Wu An Yang Vinay Uday Prabhu 58 4 0 28 Sep 2020
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 64 26 0 23 Aug 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 71 2,657 0 05 Jun 2019
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 54 117 0 23 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 78 227 0 20 Jan 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 108 708 0 03 Dec 2018
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning Adam A. Kohan E. Rietman H. Siegelmann 83 24 0 09 Aug 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 89 244 0 12 Jul 2018
Biologically Motivated Algorithms for Propagating Local Target Representations Alexander Ororbia A. Mali 119 88 0 26 May 2018
Learning to Adapt by Minimizing Discrepancy Alexander Ororbia P. Haffner David Reitter C. Lee Giles AI4TS 52 28 0 30 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Direct Feedback Alignment Provides Learning in Deep Neural Networks Arild Nøkland ODL 92 457 0 06 Sep 2016
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 82 358 0 18 Aug 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 66 492 0 16 Feb 2016
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 96 350 0 23 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks David Balduzzi Hastagiri P. Vanchinathan J. M. Buhmann FAtt 65 71 0 23 Nov 2014
Random feedback weights support learning in deep neural networks Timothy Lillicrap D. Cownden D. Tweed C. Akerman ODL 70 171 0 02 Nov 2014
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 104 183 0 11 Jun 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 178 1,849 0 20 Dec 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 131 396 0 05 Jun 2013