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VNU University of Engineering and Technology
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CANOLA achieves up to 52% error reduction in label correction, enabling even simple models to outperform complex approaches by 67%.
Relabeler achieves a remarkable 58% improvement in label correction precision, transforming how we handle noisy labels in machine learning.