Demystification of Few-shot and One-shot Learning

25 April 2021

Papers citing "Demystification of Few-shot and One-shot Learning"

8 / 8 papers shown

Title
Learning Dynamic Cognitive Map with Autonomous Navigation Daria de Tinguy Tim Verbelen Bart Dhoedt 42 0 0 13 Nov 2024
Exploring and Learning Structure: Active Inference Approach in Navigational Agents Daria de Tinguy Tim Verbelen Bart Dhoedt 37 2 0 12 Aug 2024
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning R. Parameshwara Ibrahim Radwan Akshay Asthana Iman Abbasnejad Ramanathan Subramanian Roland Goecke CVBM 77 5 0 04 Aug 2023
Towards a mathematical understanding of learning from few examples with nonlinear feature maps Oliver J. Sutton Alexander N. Gorban I. Tyukin 13 3 0 07 Nov 2022
Learning from few examples with nonlinear feature maps I. Tyukin Oliver J. Sutton Alexander N. Gorban 24 1 0 31 Mar 2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation Qinghua Zhou Alexander N. Gorban Evgeny M. Mirkes Jonathan Bac A. Zinovyev I. Tyukin 28 2 0 30 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
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 37 20 0 28 Jun 2021