"Talaria: Interactively Optimizing Machine Learning Models for Efficient ..."

Fred Hohman et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3613904.3642628

access: closed

type: Conference or Workshop Paper

metadata version: 2024-07-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/chi/HohmanWLGMBRFSZ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/chi/HohmanWLGMBRFSZ24
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang:
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CHI 2024: 648:1-648:19

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.