70 citations · 86 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 70 cited
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui, Toan Tran, Anh Tuan Tran +1
Domain Generalization (DG) aims to train a model, from multiple observed source domains, in order to perform well on unseen target domains. To obtain the generalization capability,…
cs.CL2021
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
Thuy-Trang Vu, Xuanli He, Dinh Phung +1
This paper considers the unsupervised domain adaptation problem for neural machine translation (NMT), where we assume the access to only monolingual text in either the source or ta…
cs.CV2021★ 16 cited
Multi-Label Image Classification with Contrastive Learning
Son D. Dao, Ethan Zhao, Dinh Phung +1
Recently, as an effective way of learning latent representations, contrastive learning has been increasingly popular and successful in various domains. The success of constrastive…