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Fortunately, as more and more ML engineers have embraced a data-centric approach to AI development, the implementation of active learning strategies have been on the rise. The most sophisticated ...
His interest now lies in the field of machine learning and data mining, especially active learning and related topics. Xiaofan Que (Started in Fall 2019) Xiaofan received her B.Eng and M.Eng in ...
Active Learning to Reduce Data Requirements For Defect Identification in Semiconductor Manufacturing
A new technical paper titled “Exploring Active Learning for Semiconductor Defect Segmentation ... To address these challenges, we propose to perform contrastive pretraining on the unlabelled data to ...
The aim of MLDM is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to ...
While hundreds of peer-reviewed studies have concluded that students taught in an active learning environment are significantly more likely to outperform peers who are in classes taught more ...
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