"Virtual Data Augmentation: A Robust and General Framework for Fine-tuning ..."

Kun Zhou et al. (2021)

> Home

Details and statistics

DOI: 10.18653/V1/2021.EMNLP-MAIN.315

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-06

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/emnlp/ZhouZWZWW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/ZhouZWZWW21
Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) 2021: 3875-3887

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.