Real: A representative error-driven approach for active learning
Given a limited labeling budget, active learning (al) aims to sample the most informative instances from an unlabeled pool to acquire labels for subsequent model training. To achieve this, al typically measures the informativeness of unlabeled instances based on uncertainty and diversity. However, i...
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| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/8586 https://ink.library.smu.edu.sg/context/sis_research/article/9589/viewcontent/real.pdf |
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