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"Deep Ensembling with No Overhead for either Training or Testing: The ..."

Shiwei Liu et al. (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-02

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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - conf/iclr/LiuCACSMPWM22
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  persistent URL:
  - https://dblp.org/rec/conf/iclr/LiuCACSMPWM22
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR 2022

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