Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference79 articles.
1. Bahri, D., Jiang, H., & Gupta, M. (2020). Deep k-nn for noisy labels. In Proceedings of ICML.
2. Bekkouch, I. E. I., Youssry, Y., & Gafarov, R., et al. (2019). Triplet loss network for unsupervised domain adaptation. Algorithms.
3. Ben-David, S., Blitzer, J., & Crammer, K., et al. (2007). Analysis of representations for domain adaptation. In Proceedings of NeurIPS.
4. Ben-David, S., Blitzer, J., & Crammer, K., et al. (2010). A theory of learning from different domains. Machine Learning.
5. Berthelot, D., Roelofs, R., & Sohn, K., et al. (2021). Adamatch: A unified approach to semi-supervised learning and domain adaptation. In Proceedings of ICLR.