2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Meta-Learning Siamese Network for Few-Shot Text Classification
Chengcheng Han, Yuhe Wang, Yingnan Fu +4
Few-shot learning has been used to tackle the problem of label scarcity in text classification, of which meta-learning based methods have shown to be effective, such as the prototy…
cs.CV2023★ 1 cited
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting
Kangyang Luo, Xiang Li, Yunshi Lan +1
Federated Learning (FL) has emerged as a de facto machine learning area and received rapid increasing research interests from the community. However, catastrophic forgetting caused…
cs.LG2014★ 1 cited
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning
Chao Zhang, Dacheng Tao, Tao Hu +1
In this paper, we study the generalization performance of regularized multi-task learning (RMTL) in a vector-valued framework, where MTL is considered as a learning process for vec…