Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces-Reference-Cited by-同舟云学术

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Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces

Published:2024-06 Issue:6 Volume:46 Page:4476-4488
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Xiao Qiao¹^ORCID,Zhang Yu²^ORCID,Yang Qiang³^ORCID

Affiliation:

1. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

3. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10522060/10416705.pdf?arnumber=10416705

Reference48 articles.

1. Transfer Learning

2. Transferring localization models across space;Pan

3. Simultaneous Deep Transfer Across Domains and Tasks

4. Deep Learning of Transferable Representation for Scalable Domain Adaptation

5. Adapting instance weights for unsupervised domain adaptation using quadratic mutual information and subspace learning

Cited by 1 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. Node Embedding Accelerates Randoms Walk on a Graph;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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