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"Robustness in deep learning: The good (width), the bad (depth), and the ..."

Zhenyu Zhu 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/Zhu00C22a
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  persistent URL:
  - https://dblp.org/rec/conf/nips/Zhu00C22a
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher:
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization). NeurIPS 2022

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