Continual meta-learning algorithm
M Jiang, F Li, L Liu - Applied Intelligence, 2022 - Springer
Deep learning has accomplished impressive excellence in many fields. However, its
achievement relies on a vast amount of marker data and when there is insufficient labeled …
achievement relies on a vast amount of marker data and when there is insufficient labeled …
SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification
J Ding, F Li - 2021 International Joint Conference on Neural …, 2021 - ieeexplore.ieee.org
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent
years. Particularly, employing meta-learning for few-shot classification has achieved …
years. Particularly, employing meta-learning for few-shot classification has achieved …