Generalization Comparison of Deep Neural Networks via Output Sensitivity

30 Jul 2020Mahsa ForouzeshFarnood SalehiPatrick Thiran

Although recent works have brought some insights into the performance improvement of techniques used in state-of-the-art deep-learning models, more work is needed to understand their generalization properties. We shed light on this matter by linking the loss function to the output's sensitivity to its input... (read more)

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