"Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural ..."

Shanglin Zhou et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3624476

access: closed

type: Journal Article

metadata version: 2023-12-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/todaes/ZhouBGPMD23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/todaes/ZhouBGPMD23
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding:
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28(6): 102:1-102:19 (2023)

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.