Exploring Shifted Domain Problem within MNIST Dataset-Reference-Cited by-同舟云学术

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Exploring Shifted Domain Problem within MNIST Dataset

Published:2023-02-16 Issue: Volume: Page:
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Container-title:2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
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Author:

Hidayaturrahman ¹,Heryadi Yaya¹,Lukas ²,Suparta Wayan³,Arifin Yulyani¹

Affiliation:

1. Bina Nusatara University,BINUS Graduate Program – Computer Science,Computer Science Department,Jakarta,Indonesia,11480

2. Universitas Katolik Indonesia Atma Jaya,Cognitive Engineering Research Group (CERG) Faculty of Engineering,Jakarta,Indonesia,12930

3. Institut Teknologi Nasional Yogyakarta,Faculty of Industrial Technology,Department of Electrical Engineering,Yogyakarta,Indonesia,55281

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127649/10127667/10127672.pdf?arnumber=10127672

Reference20 articles.

1. Learning Target-Domain-Specific Classifier for Partial Domain Adaptation

2. Faster Domain Adaptation Networks;li;IEEE Trans Knowl Data Eng,2021

3. A Review of Deep Domain Adaptation: General Situation and Complex Situation;fan;Zidonghua Xuebao/Acta Automatica Sinica,2021

4. Metric-learning-assisted domain adaptation

5. Unsupervised domain adaptation by backpropagation;ganin;32nd International Conference on Machine Learning ICML 2015,2015

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