Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with ..."

Han Li et al. (2022)

> Home

Details and statistics

DOI: 10.1145/3565478.3572530

access: closed

type: Conference or Workshop Paper

metadata version: 2024-01-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/nanoarch/LiSJL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nanoarch/LiSJL22
Han Li, Heng Shi, Honglan Jiang, Siting Liu:
HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. NANOARCH 2022: 22:1-22:6

a service of

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.