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most citedPRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

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cs.CV2025

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu +1

We propose a novel sample selection method for image classification in the presence of noisy labels. Existing methods typically consider small-loss samples as correctly labeled. Ho…