Meta-Learning through Hebbian Plasticity in Random Networks

6 July 2020

Papers citing "Meta-Learning through Hebbian Plasticity in Random Networks"

11 / 11 papers shown

Title
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 78 2 0 01 May 2025
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective Szymon Mazurek Jakub Caputa Jan K. Argasiñski Maciej Wielgosz 19 0 0 06 Apr 2025
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 30 121 0 19 Jan 2023
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 11 30 0 20 Oct 2022
Biological connectomes as a representation for the architecture of artificial neural networks Samuel Schmidgall Catherine D. Schuman Maryam Parsa 16 2 0 28 Sep 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 10 12 0 25 Apr 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 16 10 0 17 Feb 2022
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 17 15 0 10 Jul 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016