"ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector ..."

Haijun Zhao et al. (2023)

> Home

Details and statistics

DOI: 10.1007/978-3-031-46661-8_47

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/adma/ZhaoXWJ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/adma/ZhaoXWJ23
Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang:
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. ADMA (1) 2023: 709-723

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.