Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19

  • Huimin Zeng
  • , Zhenrui Yue
  • , Lanyu Shang
  • , Yang Zhang
  • , Dong Wang

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1105-1116
Number of pages12
JournalIeee Transactions on Emerging Topics in Computing
Volume12
Issue number4
DOIs
StatePublished - Jan 26 2024
Externally publishedYes

Keywords

  • Adaptation models
  • Covid-19
  • Data models
  • Domain adaptation
  • Fake news
  • Question answering (information retrieval)
  • Task analysis
  • Training
  • Contrastive domain mixup
  • Misinformation detection
  • Question answering

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