DISSERTATION

Few-Shot Meta-Learning in Heterogeneous Contexts

Rego Drumond, Rafael

Year: 2024 University:   HilDok – Institutional Repository (Universität Hildesheim)   Publisher: Springer Nature (Switzerland)
Keywords:
Context (archaeology) Perspective (graphical) Set (abstract data type) Variety (cybernetics) Identification (biology)

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Domain Adaptation and Few-Shot Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
Machine Learning and Data Classification
Physical Sciences →  Computer Science →  Artificial Intelligence
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Few-Shot meta-Learning code

LUO, XUAN

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2024
JOURNAL ARTICLE

Few-Shot meta-Learning code

LUO, XUAN

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2024
JOURNAL ARTICLE

Context-informed few-shot molecular property prediction via heterogeneous meta-learning

Junhao XueJun LiuKai Chen

Journal:   Computational and Structural Biotechnology Journal Year: 2025 Vol: 27 Pages: 4173-4182
JOURNAL ARTICLE

Heterogeneous Riemannian Few-Shot Learning Network

Jie ChenLingling LiLicheng JiaoFang LiuXu LiuYuwei GuoPuhua ChenWenping Ma

Journal:   IEEE Transactions on Neural Networks and Learning Systems Year: 2025 Vol: 36 (9)Pages: 16507-16520
© 2026 ScienceGate Book Chapters — All rights reserved.