Addressing the cold start problem in active learning using self-supervised learning

Active learning promises to improve annotation efficiency by iteratively selecting the most important data to be annotated first. However, we uncover a striking contrast to this promise: Active querying strategies fail to select data as effectively as random selection at the first choice. We identif...

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Bibliographic Details
Main Author: Chen, Liangyu
Other Authors: Wen Bihan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158461
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Institution: Nanyang Technological University
Language: English

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