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Demystification of Few-shot and One-shot Learning
v1v2 (latest)

Demystification of Few-shot and One-shot Learning

IEEE International Joint Conference on Neural Network (IJCNN), 2021
25 April 2021
I. Tyukin
A. Gorban
Muhammad H. Alkhudaydi
Qinghua Zhou
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
Ali Nawaz
Amir Ahmad
Shehroz S. Khan
96
0
0
09 Sep 2025
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
697
5
0
23 Nov 2024
Learning Dynamic Cognitive Map with Autonomous Navigation
Learning Dynamic Cognitive Map with Autonomous Navigation
Daria de Tinguy
Tim Verbelen
Bart Dhoedt
293
7
0
13 Nov 2024
Exploring and Learning Structure: Active Inference Approach in
  Navigational Agents
Exploring and Learning Structure: Active Inference Approach in Navigational AgentsInternational Workshop on Affective Interactions (AI), 2024
Daria de Tinguy
Tim Verbelen
Bart Dhoedt
223
5
0
12 Aug 2024
Efficient Labelling of Affective Video Datasets via Few-Shot &
  Multi-Task Contrastive Learning
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive LearningACM Multimedia (ACM MM), 2023
R. Parameshwara
Ibrahim Radwan
Akshay Asthana
Iman Abbasnejad
Ramanathan Subramanian
Roland Goecke
CVBM
232
5
0
04 Aug 2023
Towards a mathematical understanding of learning from few examples with
  nonlinear feature maps
Towards a mathematical understanding of learning from few examples with nonlinear feature maps
Oliver J. Sutton
Alexander N. Gorban
I. Tyukin
120
3
0
07 Nov 2022
Learning from few examples with nonlinear feature maps
Learning from few examples with nonlinear feature maps
I. Tyukin
Oliver J. Sutton
Alexander N. Gorban
99
1
0
31 Mar 2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and
  generalisation
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Qinghua Zhou
Alexander N. Gorban
Evgeny M. Mirkes
Jonathan Bac
A. Zinovyev
I. Tyukin
110
2
0
30 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
154
6
0
03 Jul 2021
High-dimensional separability for one- and few-shot learning
High-dimensional separability for one- and few-shot learningEntropy (Entropy), 2021
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
227
24
0
28 Jun 2021
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