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On the Inherent Regularization Effects of Noise Injection During Training
Randomly perturbing networks during the training process is a commonly used approach to improving generalization performance.
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons
Transfer learning seeks to improve the generalization performance of a target task by exploiting the knowledge learned from a related source task.
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