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"Infinite wide (finite depth) Neural Networks benefit from multi-task ..."

Jakob Heiss, Josef Teichmann, Hanna Wutte (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-04-09

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2112-15577
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-15577
Jakob Heiss, Josef Teichmann, Hanna Wutte:
Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes - an exact quantitative macroscopic characterization. CoRR abs/2112.15577 (2021)

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