Learning to Adapt to Evolving Domains

By Hong Liu, Mingsheng Long, Jianmin Wang, Yu Wang. 2020

62 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zhenyi Wang
2. Li Shen
3. Le Fang
4. Tiehang Duan
5. Mingchen Gao
6. Donglin Zhan
7. Ning Xu
8. Qiufeng Wang

Citations in the corpus

• Learngene: From Open-World to Your Learning Task (2021, background): “Moreover, continual domain adaptation (Zhao and Hoi 2010; Liu et al. 2020; Bitarafan, Baghshah, and Gheisari 2016; Wang, He, and Katabi 2020; Mancini et al. 2019a) enables the learner to adapt to continually evolving target domains without forgetting.”
• Learning to Learn and Remember Super Long Multi-Domain Task Sequence (2022, background): “Continuous domain adaptation [42] is a recent application of continual learning to domain adaptation.”