Infinite Width Models That Work: Why Feature Learning Doesn't Matter as
Much as You Think

Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think

27 June 2024

Luke Sernau

Papers citing "Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think"

6 / 6 papers shown

Title
Feature Learning in Infinite-Width Neural Networks Greg Yang J. E. Hu MLT 73 153 0 30 Nov 2020
On the Inductive Bias of Neural Tangent Kernels A. Bietti Julien Mairal 63 257 0 29 May 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 246 3,191 0 20 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 212 3,457 0 09 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 642 130,942 0 12 Jun 2017
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely Roy Frostig Y. Singer 150 343 0 18 Feb 2016