Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid
Learning in RNNs

Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs

7 February 2023

Qian Li

Papers citing "Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs"

4 / 4 papers shown

Title
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Guobin Shen Dongcheng Zhao Yiting Dong Yang Li Feifei Zhao Yi Zeng AI4CE 18 0 0 23 Aug 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason Eshraghian 31 52 0 18 May 2023
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 42 87 0 16 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017