Results 251 to 257 of about 514,020 (257)

Meta-transfer-adjustment learning for few-shot learning

Journal of Visual Communication and Image Representation, 2022
Yadang Chen, Hui Yan, Zhi-Xin Yang, Enhua Wu   +3 more
openaire   +1 more source

Few-Shot Learning

2020
openaire   +2 more sources

Few-Shot Learning on Graphs

Graph representation learning has garnered significant attention due to its outstanding performance across numerous real-world applications, such as social network analysis, bioinformatics, and recommendation systems. However, supervised graph representation learning models often struggle with label sparsity, as data labeling is time-consuming and ...
Zhang, Chuxu, Ding, Kaize, Li, Jundong
openaire   +1 more source

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

Relational Generalized Few-Shot Learning

Proceedings of the British Machine Vision Conference 2020, 2020
Xiahan Shi, Leonard Salewski, Martin Schiegg, Max Welling   +3 more
openaire   +1 more source

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

Electroencephalogram Helps Few-Shot Learning

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Xiaoya Fan, Yuntao Liu, Zhong Wang
openaire   +1 more source