"Grow, prune or select data: which technique allows the most ..."

Anais Boumendil et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ICTAI59109.2023.00051

access: closed

type: Conference or Workshop Paper

metadata version: 2024-01-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ictai/BoumendilBPME23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ictai/BoumendilBPME23
Anais Boumendil, Walid Bechkit, Pierre-Edouard Portier, Frédéric Le Mouël, Malcolm Egan:
Grow, prune or select data: which technique allows the most energy-efficient neural network training? ICTAI 2023: 303-308

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.