Uses TPE-based neural architecture search to tune MW-Net's layers, nodes, and input layer for combined label noise and class imbalance, showing improved results on modified CIFAR-10/100.
arXiv preprint arXiv:2212.11542 (2022)
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Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Uses TPE-based neural architecture search to tune MW-Net's layers, nodes, and input layer for combined label noise and class imbalance, showing improved results on modified CIFAR-10/100.