1 citations · 1 across the 4 of their papers we have counts for
4 papers
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang, Wei Cong, Jiahua Dong +4
Continual Named Entity Recognition (CNER) is a burgeoning area, which involves updating an existing model by incorporating new entity types sequentially. Nevertheless, continual le…
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Duzhen Zhang, Hongliu Li, Wei Cong +3
Incremental Named Entity Recognition (INER) involves the sequential learning of new entity types without accessing the training data of previously learned types. However, INER face…
Federated Incremental Semantic Segmentation
Jiahua Dong, Duzhen Zhang, Yang Cong +3
Federated learning-based semantic segmentation (FSS) has drawn widespread attention via decentralized training on local clients. However, most FSS models assume categories are fixe…
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
Yumin Zhang, Yajun Gao, Hongliu Li +3
Unsupervised Domain Adaptation (UDA), which aims to explore the transferrable features from a well-labeled source domain to a related unlabeled target domain, has been widely progr…