The paper proposes attribution-guided data partitioning plus regression-based neuron pruning and fine-tuning for noisy training data, but the headline label-noise result is contradicted by the feature-noise-only experiments.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
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Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments
The paper proposes attribution-guided data partitioning plus regression-based neuron pruning and fine-tuning for noisy training data, but the headline label-noise result is contradicted by the feature-noise-only experiments.