Unsupervised Learning by Competing Hidden Units

26 June 2018

Papers citing "Unsupervised Learning by Competing Hidden Units"

50 / 55 papers shown

Title
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition Ludovico Iannello Luca Ciampi Gabriele Lagani Fabrizio Tonelli Eleonora Crocco Lucio Maria Calcagnile Angelo Di Garbo F. Cremisi Giuseppe Amato 49 0 0 06 May 2025
OscNet: Machine Learning on CMOS Oscillator Networks Wenxiao Cai Thomas H. Lee 65 1 0 11 Feb 2025
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction Alexei Figueroa Justus Westerhoff Golzar Atefi Dennis Fast B. Winter Felix Alexader Gers Alexander Loser Wolfang Nejdl 57 0 0 03 Feb 2025
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 49 2 0 17 Sep 2024
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference Yang Li Xiang He Qingqun Kong Yi Zeng 40 0 0 08 Jun 2024
Benchmarking Hebbian learning rules for associative memory A. Lansner Naresh B. Ravichandran Pawel Herman 37 4 0 30 Dec 2023
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 44 1 0 22 Nov 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 47 6 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 28 8 0 30 Jul 2023
Active Inference in Hebbian Learning Networks A. Safa Tim Verbelen Lars Keuninckx I. Ocket A. Bourdoux F. Catthoor Georges G. E. Gielen Gert Cauwenberghs 38 2 0 08 Jun 2023
Machine learning in and out of equilibrium Shishir Adhikari Alkan Kabakcciouglu A. Strang Deniz Yuret M. Hinczewski 29 4 0 06 Jun 2023
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification Jiahong Zhang Lihong Cao Moning Zhang Wenlong Fu SSL 13 2 0 16 Mar 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang Ce Zhang Heng Xu Shuoshuo Chen Jie Cheng Luziwei Leng Qinghai Guo Zhihai He TTA 44 24 0 02 Mar 2023
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop Manas Gupta Sarthak Ketanbhai Modi Hang Zhang Joon Hei Lee J. Lim 32 7 0 09 Dec 2022
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 18 0 0 26 Oct 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 32 7 0 26 Sep 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 31 49 0 23 Sep 2022
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning Beomseok Kang Saibal Mukhopadhyay 52 2 0 19 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 28 125 0 27 Jul 2022
Unsupervised Hebbian Learning on Point Sets in StarCraft II Beomseok Kang H. Kumar Saurabh Dash Saibal Mukhopadhyay SSL 23 6 0 13 Jul 2022
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level Gabriele Lagani Claudio Gennaro Hannes Fassold Giuseppe Amato 26 10 0 07 Jul 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition Naresh B. Ravichandran A. Lansner Pawel Herman 35 4 0 30 Jun 2022
Hebbian Continual Representation Learning P. Morawiecki Andrii Krutsylo Maciej Wołczyk Marek Śmieja CLL 30 2 0 28 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 27 0 0 06 Jun 2022
Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters O. Eidheim 17 1 0 02 May 2022
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection Jinyung Hong Theodore P. Pavlic 27 3 0 20 Nov 2021
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 35 62 0 16 Sep 2021
A Biologically Plausible Learning Rule for Perceptual Systems of organisms that Maximize Mutual Information Tao-Wen Liu 6 0 0 07 Sep 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 28 1 0 23 Jun 2021
Credit Assignment Through Broadcasting a Global Error Vector David G. Clark L. F. Abbott SueYeon Chung 30 23 0 08 Jun 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato SSL 23 22 0 16 Mar 2021
PyTorch-Hebbian: facilitating local learning in a deep learning framework Jules Talloen J. Dambre Alexander Vandesompele SSL 14 4 0 31 Jan 2021
Can a Fruit Fly Learn Word Embeddings? Yuchen Liang Chaitanya K. Ryali Benjamin Hoover Leopold Grinberg Saket Navlakha Mohammed J Zaki Dmitry Krotov 22 20 0 18 Jan 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
Parallel Training of Deep Networks with Local Updates Michael Laskin Luke Metz Seth Nabarrao Mark Saroufim Badreddine Noune Carlo Luschi Jascha Narain Sohl-Dickstein Pieter Abbeel FedML 32 26 0 07 Dec 2020
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks Ramin Zarei-Sabzevar Kamaledin Ghiasi-Shirazi Ahad Harati AAML 6 9 0 20 Aug 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 24 34 0 12 Jun 2020
Brain-like approaches to unsupervised learning of hidden representations -- a comparative study Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 14 12 0 06 May 2020
Learning representations in Bayesian Confidence Propagation neural networks Naresh B. Ravichandran A. Lansner Pawel Herman BDL SSL 12 14 0 27 Mar 2020
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning Christopher Bennett T. Xiao Can Cui Naimul Hassan Otitoaleke G. Akinola J. Incorvia Alvaro Velasquez Joseph S. Friedman M. Marinella 23 1 0 04 Mar 2020
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles 23 2 0 10 Feb 2020
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning Bonifaz Stuhr Jürgen Brauer SSL 28 8 0 28 Jan 2020
Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali J. Hopfield Leopold Grinberg Dmitry Krotov 9 25 0 14 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 2020
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning T. Shinozaki SSL 10 2 0 04 Jan 2020
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex D. Stathis C. Sudarshan Yu Yang Matthias Jung Syed Asad Mohamad Hasan Jafri C. Weis A. Hemani A. Lansner Norbert Wehn 24 13 0 03 Nov 2019
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks D. Obeid Hugo Ramambason Cengiz Pehlevan FedML 14 20 0 11 Oct 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 23 25 0 23 Aug 2019
Local Unsupervised Learning for Image Analysis Leopold Grinberg J. Hopfield Dmitry Krotov SSL 18 18 0 14 Aug 2019