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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Supervised machine learning, in which machine learning models learn from ...

Training deep learning models on large datasets is essential for their success; however, these datasets often contain label noise, which can significantly decrease the classification performance on ...

Massachussets Institute of Technology (MIT)'s most recent study concluded that labeling errors found on datasets used in AI benchmark testing lead scientists to draw incorrect conclusions on machine ...

Illustration of the proposed SS-FT framework. (A-B) show the overall SS-FT and the model’s dataflow. (C-D) elaborates on the supervised fine-tuning, and the self-supervised contrastive learning ...