DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback
Author:
Affiliation:
1. Electrical Engineering and Computer Science, DGIST, Korea, Republic of
2. School of Computing, KAIST, Korea, Republic of
3. Google, Korea, Republic of
Funder
NAVER CLOVA
Institute of Information & Communications Technology Planning & Evaluation (IITP)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3640543.3645157
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3. Better call the crowd: using crowdsourcing to shape the notation of domain-specific languages
4. A process for evaluating quality decision-making practices during the development, review and reimbursement of medicines;Bujar Magdalena;International Journal of Health Policy and Management,2022
5. Classifier‐Guided Visual Correction of Noisy Labels for Image Classification Tasks
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