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High-dimensional separability for one- and few-shot learning

High-dimensional separability for one- and few-shot learning

28 June 2021
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
    DRL
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Papers citing "High-dimensional separability for one- and few-shot learning"

3 / 3 papers shown
Title
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in
  Deep Learning
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
Alexander Bastounis
Alexander N. Gorban
Anders C. Hansen
D. Higham
Danil Prokhorov
Oliver J. Sutton
I. Tyukin
Qinghua Zhou
OOD
18
4
0
13 Sep 2023
Learning from few examples with nonlinear feature maps
Learning from few examples with nonlinear feature maps
I. Tyukin
Oliver J. Sutton
Alexander N. Gorban
14
1
0
31 Mar 2022
Learning from scarce information: using synthetic data to classify Roman
  fine ware pottery
Learning from scarce information: using synthetic data to classify Roman fine ware pottery
Santos J. Núñez Jareño
Daniël P. van Helden
Evgeny M. Mirkes
I. Tyukin
Penelope Allison
37
5
0
03 Jul 2021
1