"DipDNN: Preserving Inverse Consistency and Approximation Efficiency for ..."

Jingyi Yuan, Yang Weng, Erik Blasch (2024)

> Home

Details and statistics

DOI: 10.1145/3637528.3672036

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/kdd/YuanWB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/YuanWB24
Jingyi Yuan, Yang Weng, Erik Blasch:
DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning. KDD 2024: 4071-4082

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.