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Learning Capacity: A Measure of the Effective Dimensionality of a Model

Learning Capacity: A Measure of the Effective Dimensionality of a Model

27 May 2023
Daiwei Chen
Wei-Di Chang
Pratik Chaudhari
ArXivPDFHTML

Papers citing "Learning Capacity: A Measure of the Effective Dimensionality of a Model"

3 / 3 papers shown
Title
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
J. Mao
Itay Griniasty
Yan Sun
M. Transtrum
J. Sethna
Pratik Chaudhari
24
0
0
13 May 2025
The Training Process of Many Deep Networks Explores the Same
  Low-Dimensional Manifold
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold
J. Mao
Itay Griniasty
H. Teoh
Rahul Ramesh
Rubing Yang
M. Transtrum
J. Sethna
Pratik Chaudhari
3DPC
42
15
0
02 May 2023
Deep incremental learning models for financial temporal tabular datasets
  with distribution shifts
Deep incremental learning models for financial temporal tabular datasets with distribution shifts
Thomas Wong
Mauricio Barahona
OOD
AIFin
AI4TS
18
0
0
14 Mar 2023
1