On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity - researchr publication authors

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Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten. On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

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