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Geometry and Generalization: Eigenvalues as predictors of where a
  network will fail to generalize

Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize

13 July 2021
S. Agarwala
Ben Dees
A. Gearhart
Corey Lowman
ArXivPDFHTML

Papers citing "Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize"

2 / 2 papers shown
Title
Geometric instability of out of distribution data across autoencoder
  architecture
Geometric instability of out of distribution data across autoencoder architecture
S. Agarwala
Ben Dees
Corey Lowman
DRL
22
0
0
28 Jan 2022
Eigenvalues of Autoencoders in Training and at Initialization
Eigenvalues of Autoencoders in Training and at Initialization
Ben Dees
S. Agarwala
Corey Lowman
19
0
0
27 Jan 2022
1