How connectivity structure shapes rich and lazy learning in neural circuits

12 October 2023

Papers citing "How connectivity structure shapes rich and lazy learning in neural circuits"

9 / 9 papers shown

Title
On the Cone Effect in the Learning Dynamics Zhanpeng Zhou Yongyi Yang Jie Ren Mahito Sugiyama Junchi Yan 46 0 0 20 Mar 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Dominé Nicolas Anguita A. Proca Lukas Braun D. Kunin P. Mediano Andrew M. Saxe 30 3 0 22 Sep 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 65 5 0 26 May 2024
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 36 4 0 27 Jul 2023
Continual task learning in natural and artificial agents Timo Flesch Andrew M. Saxe Christopher Summerfield CLL 24 24 0 10 Oct 2022
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks Blake Bordelon C. Pehlevan 41 22 0 05 Oct 2022
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation Sebastian Lee Stefano Sarao Mannelli Claudia Clopath Sebastian Goldt Andrew M. Saxe CLL 39 12 0 18 May 2022
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization Mariia Seleznova Gitta Kutyniok 179 16 0 01 Feb 2022
Geometric compression of invariant manifolds in neural nets J. Paccolat Leonardo Petrini Mario Geiger Kevin Tyloo M. Wyart MLT 42 34 0 22 Jul 2020