3.2k citations · 4.2k across the 23 of their papers we have counts for
3 papers · 2 filters
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales +1
This paper focuses on domain generalization (DG), the task of learning from multiple source domains a model that generalizes well to unseen domains. A main challenge for DG is that…
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales +1
Machine learning models typically suffer from the domain shift problem when trained on a source dataset and evaluated on a target dataset of different distribution. To overcome thi…
Domain Adaptive Ensemble Learning
Kaiyang Zhou, Yongxin Yang, Yu Qiao +1
The problem of generalizing deep neural networks from multiple source domains to a target one is studied under two settings: When unlabeled target data is available, it is a multi-…