BayesPCN: A Continually Learnable Predictive Coding Associative Memory

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BayesPCN: A Continually Learnable Predictive Coding Associative Memory

20 May 2022

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Papers citing "BayesPCN: A Continually Learnable Predictive Coding Associative Memory"

18 / 18 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 170 7 0 17 Feb 2025
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention Kazuki Irie Róbert Csordás Jürgen Schmidhuber 61 44 0 11 Feb 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz VLM 51 54 0 09 Feb 2022
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold Sugandha Sharma Sarthak Chandra Ila R. Fiete 109 22 0 01 Feb 2022
Attention Approximates Sparse Distributed Memory Trenton Bricken Cengiz Pehlevan 76 34 0 10 Nov 2021
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 64 65 0 16 Sep 2021
Predictive Coding: a Theoretical and Experimental Review Beren Millidge A. Seth Christopher L. Buckley AI4CE 49 132 0 27 Jul 2021
Hierarchical Associative Memory Dmitry Krotov BDL 139 34 0 14 Jul 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 124 250 0 22 Feb 2021
Large Associative Memory Problem in Neurobiology and Machine Learning Dmitry Krotov J. Hopfield 58 141 0 16 Aug 2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter Günter Klambauer 235 118 0 16 Jul 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 114 436 0 16 Jul 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 73 122 0 07 Jun 2020
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 143 34 0 07 Oct 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 57 16 0 25 May 2019
Unsupervised Progressive Learning and the STAM Architecture James Smith Cameron Taylor Seth Baer C. Dovrolis OffRL CLL 51 39 0 03 Apr 2019
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 103 2,330 0 20 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013

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