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Distance Learner: Incorporating Manifold Prior to Model Training

Distance Learner: Incorporating Manifold Prior to Model Training

14 July 2022
Aditya Chetan
Nipun Kwatra
ArXivPDFHTML

Papers citing "Distance Learner: Incorporating Manifold Prior to Model Training"

3 / 3 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,100
0
27 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
189
259
0
18 Apr 2021
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
183
272
0
03 Dec 2018
1