Funder
Japan Society for the Promotion of Science
New Energy and Industrial Technology Development Organization
Japan Science and Technology Agency
Core Research for Evolutional Science and Technology
JST-Mirai Program
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference58 articles.
1. Gradual domain adaptation in the wild: When intermediate distributions are absent;Abnar,2021
2. Analysis of representations for domain adaptation;Ben-David;Advances in Neural Information Processing Systems,2007
3. Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables;Blackard;Computers and Electronics in Agriculture,1999
4. Gradual domain adaptation without indexed intermediate domains;Chen;Advances in Neural Information Processing Systems,2021
5. Choi, Jongwon, Choi, Youngjoon, Kim, Jihoon, Chang, Jinyeop, Kwon, Ilhwan, Gwon, Youngjune, et al. (2020). Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain. Vol. 34, In Proceedings of the AAAI conference on artificial intelligence (07), (pp. 10655–10662).
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献