Machine Learning Pipeline for Reusing Pretrained Models-Reference-Cited by-同舟云学术

Machine Learning Pipeline for Reusing Pretrained Models

Published:2020-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Conference on Management of Digital EcoSystems
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Author:

AlShehhi Maryam¹,Wang Di²

Affiliation:

1. Department of Electrical Engineering & Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates

2. Emirates ICT Innovation Center EBTIC, Khalifa University, Abu Dhabi, United Arab Emirates

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3415958.3433054

Reference22 articles.

1. Chen Z. et al. 2019. Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR. (2019) 2248--2257. Chen Z. et al. 2019. Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR. (2019) 2248--2257.

2. Csurka G. 2017. Domain Adaptation for Visual Applications: A Comprehensive Survey. arXiv:1702.05374 (2017) 1--46. Csurka G. 2017. Domain Adaptation for Visual Applications: A Comprehensive Survey. arXiv:1702.05374 (2017) 1--46.

3. Damodaran B.B. et al. 2018. DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (2018). Damodaran B.B. et al. 2018. DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (2018).

4. Learning in Nonstationary Environments: A Survey

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