Understanding and improving early stop** for learning with noisy labels

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[PDF] thecvf.com

Instance-dependent label-noise learning with manifold-regularized transition matrix estimation

D Cheng, T Liu, Y Ning, N Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
In label-noise learning, estimating the transition matrix has attracted more and more
attention as the matrix plays an important role in building statistically consistent classifiers …
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[PDF] arxiv.org

Label-free node classification on graphs with large language models (llms)

Z Chen, H Mao, H Wen, H Han, W **, H Zhang… - ar** the model prediction
H Wei, H Zhuang, R **e, L Feng… - International …, 2023 - proceedings.mlr.press
In the presence of noisy labels, designing robust loss functions is critical for securing the
generalization performance of deep neural networks. Cross Entropy (CE) loss has been …
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