Google Researchers Propose a Novel Method, Called Constrained Instance reWeighting (CIW), To Reduce Noisy Labels in Deep Neural Networks

Deep neural networks (DNNs) have been highly successful in delivering substantial performance advances in various real-world applications, ranging from image recognition to genomics. Modern DNNs, on the other hand, frequently have significantly more trainable model parameters than training instances, resulting in overparameterized networks that readily overfit to noisy or corrupted labels. As a result, training […]

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