10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
Zhenyi Wang, Li Shen, Le Fang +4
The paradigm of machine intelligence moves from purely supervised learning to a more practical scenario when many loosely related unlabeled data are available and labeled data is s…
cs.LG2022★ 10 cited
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang, Li Shen, Le Fang +3
Task-free continual learning (CL) aims to learn a non-stationary data stream without explicit task definitions and not forget previous knowledge. The widely adopted memory replay a…
cs.LG2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang, Tiehang Duan, Le Fang +2
Recognizing new objects by learning from a few labeled examples in an evolving environment is crucial to obtain excellent generalization ability for real-world machine learning sys…