AINeutralarXiv – CS AI · 10h ago5/10
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Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Researchers enhance Meta-Weight-Net (MW-Net), a neural network for sample reweighting under distribution shifts, by applying neural architecture search to optimize its structure. The improved approach better handles combined label noise and class imbalance problems that degrade standard MW-Net performance, demonstrating effectiveness on CIFAR-10 and CIFAR-100 datasets.