CROWDS

作品数：36被引量：41H指数：4
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相关领域：自动化与计算机技术更多>>
相关作者：王伟平吴云霞杨路明宋虹段桂华更多>>
相关机构：中南大学北京邮电大学江西师范大学西安电子科技大学更多>>
相关期刊：《高技术通讯》《China's Foreign Trade》《IEEE/CAA Journal of Automatica Sinica》《Computers, Materials & Continua》更多>>
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KD-Crowd:a knowledge distillation framework for learning from crowds
《Frontiers of Computer Science》2025年第1期119-130,共12页Shaoyuan LI Yuxiang ZHENG Ye SHI Shengjun HUANG Songcan CHEN 
supported by the National Key R&D Program of China(2022ZD0114801);the National Natural Science Foundation of China(Grant No.61906089);the Jiangsu Province Basic Research Program(BK20190408).
Recently, crowdsourcing has established itself as an efficient labeling solution by distributing tasks to crowd workers. As the workers can make mistakes with diverse expertise, one core learning task is to estimate e...
关键词：crowdsourcing label noise worker expertise knowledge distillation robust learning 
Classification-oriented dawid skene model for transferring intelligence from crowds to machines
《Frontiers of Computer Science》2023年第5期53-66,共14页Jiaran LI Richong ZHANG Samuel MENSAH Wenyi QIN Chunming HU 
supported in part by the National Key R&D Program of China(2021ZD0110700);in part by the Fundamental Research Funds for the Central Universities,in part by the State Key Laboratory of Software Development Environment;in part by a Leverhulme Trust Research Project Grant.
When a crowdsourcing approach is used to assist the classification of a set of items,the main objective is to classify this set of items by aggregating the worker-provided labels.A secondary objective is to assess the...
关键词：crowdsourcing information aggregation lear-ning from crowds 
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