Hebbian Semi-Supervised Learning in a Sample Efficiency Setting

Hebbian Semi-Supervised Learning in a Sample Efficiency Setting

16 March 2021

Gabriele Lagani

Fabrizio Falchi

Claudio Gennaro

Papers citing "Hebbian Semi-Supervised Learning in a Sample Efficiency Setting"

14 / 14 papers shown

Title
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 34 2 0 17 Sep 2024
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 31 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 33 6 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
Instruction Tuned Models are Quick Learners Himanshu Gupta Saurabh Arjun Sawant Swaroop Mishra Mutsumi Nakamura Arindam Mitra Santosh Mashetty Chitta Baral 26 26 0 17 May 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 39 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 19 7 0 09 Dec 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 18 7 0 26 Sep 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 18 48 0 23 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 35 5 0 09 Sep 2022
Unsupervised Hebbian Learning on Point Sets in StarCraft II Beomseok Kang H. Kumar Saurabh Dash Saibal Mukhopadhyay SSL 13 5 0 13 Jul 2022
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level Gabriele Lagani Claudio Gennaro Hannes Fassold Giuseppe Amato 18 10 0 07 Jul 2022
Deep Features for CBIR with Scarce Data using Hebbian Learning Gabriele Lagani D. Bacciu Claudio Gallicchio Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 6 0 18 May 2022
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