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cs.LG2025
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
Yuval Grinberg, Nimrod Harel, Jacob Goldberger +1
Falsely annotated samples, also known as noisy labels, can significantly harm the performance of deep learning models. Two main approaches for learning with noisy labels are global…
cs.LG2022★ 2 cited
Inherent Inconsistencies of Feature Importance
Nimrod Harel, Uri Obolski, Ran Gilad-Bachrach
The rapid advancement and widespread adoption of machine learning-driven technologies have underscored the practical and ethical need for creating interpretable artificial intellig…