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Transition to Linearity of Wide Neural Networks is an Emerging Property
  of Assembling Weak Models

Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models

10 March 2022
Chaoyue Liu
Libin Zhu
M. Belkin
ArXiv (abs)PDFHTML

Papers citing "Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models"

4 / 4 papers shown
Title
On the Role of Initialization on the Implicit Bias in Deep Linear
  Networks
On the Role of Initialization on the Implicit Bias in Deep Linear Networks
Oria Gruber
H. Avron
AI4CE
13
0
0
04 Feb 2024
Catapults in SGD: spikes in the training loss and their impact on
  generalization through feature learning
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
Libin Zhu
Chaoyue Liu
Adityanarayanan Radhakrishnan
M. Belkin
124
15
0
07 Jun 2023
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks
Chaoyue Liu
Amirhesam Abedsoltan
M. Belkin
NoLa
61
5
0
05 Jun 2023
Transition to Linearity of General Neural Networks with Directed Acyclic
  Graph Architecture
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu
Chaoyue Liu
M. Belkin
GNNAI4CE
60
4
0
24 May 2022
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