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

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

28 June 2021

Alexander N. Gorban

Evgeny M. Mirkes

Sergey V. Stasenko

Papers citing "High-dimensional separability for one- and few-shot learning"

4 / 4 papers shown

Title
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 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 Santos J. Núñez Jareño Daniël P. van Helden Evgeny M. Mirkes I. Tyukin Penelope Allison 37 5 0 03 Jul 2021
The Feasibility and Inevitability of Stealth Attacks I. Tyukin D. Higham Alexander Bastounis Eliyas Woldegeorgis Alexander N. Gorban AAML 22 19 0 26 Jun 2021