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Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2022
Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu
exaly  

Few-shot Continual Infomax Learning

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Ziqi Gu, Chunyan Xu, Jian Yang, Zhen Cui
openaire   +1 more source

Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Sissi Wang, Xiao Wang, Bo Jiang
exaly  

Relational Generalized Few-Shot Learning

Proceedings of the British Machine Vision Conference 2020, 2020
Xiahan Shi   +3 more
openaire   +1 more source

Few-shot transfer learning for intelligent fault diagnosis of machine

Measurement: Journal of the International Measurement Confederation, 2020
Jingyao Wu, Zhibin Zhao, Chuang Sun
exaly  

Few-Shot meta-Learning code

Our methodology builds upon the FAR-HO package, a gradient-based hyperparameter optimization and meta-learning framework.
openaire   +1 more source

A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

IEEE Transactions on Image Processing, 2018
Shafin Rahman   +2 more
exaly  

Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances

ACM Computing Surveys
Amir Gandomi, Fang Chen, Hassan Gharoun
exaly  

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