Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks

10 May 2025

Papers citing "Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks"

5 / 5 papers shown

Title
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 72 1 0 31 May 2024
$Feature Learning in $L_{2}$-regularized DNNs: Attraction/Repulsion and Sparsity$ Feature Learning in $L_{2}$ -regularized DNNs: Attraction/Repulsion and Sparsity Arthur Jacot Eugene Golikov Clément Hongler Franck Gabriel MLT 56 18 0 31 May 2022
On the geometry of generalization and memorization in deep neural networks Cory Stephenson Suchismita Padhy Abhinav Ganesh Yue Hui Hanlin Tang SueYeon Chung TDI AI4CE 64 73 0 30 May 2021
Learnability for the Information Bottleneck Tailin Wu Ian S. Fischer Isaac L. Chuang Max Tegmark 36 42 0 17 Jul 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 197 2,885 0 14 Mar 2017