Learning from Crowds. also known as LFC. attempts to produce a decent classifier using training instances linked with a range of possibly noisy annotations supplied by crowdsourcing workers with varying personal preconditions. This process often relies heavily on network communications to facilitate the collection and aggregation of these annotations. https://www.toyscyclers.shop/product-category/baby-bottles/
Adversarially robust generalization from network crowd noisy labels
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