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"On the Interpretability of Regularisation for Neural Networks Through ..."

Vincent Szolnoky et al. (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-08

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  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/SzolnokyAKJ22
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  - https://dblp.org/rec/conf/nips/SzolnokyAKJ22
Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten:
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. NeurIPS 2022

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