Wasserstein Barycenter for Multi-Source Domain Adaptation-Reference-Cited by-同舟云学术

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Wasserstein Barycenter for Multi-Source Domain Adaptation

Published:2021-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Montesuma Eduardo Fernandes,Mboula Fred Maurice Ngole

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09577917.pdf?arnumber=9577917

Cited by 17 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

1. Distributional Network of Networks for Modeling Data Heterogeneity;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Towards Discriminability with Distribution Discrepancy Constrains for Multisource Domain Adaptation;Mathematics;2024-08-20

3. A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-Quadratic Regularized Optimal Transport Problems;Journal of Scientific Computing;2024-05-04

4. Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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