mlsanityData to 14 Oct 2026

Dual Adversarial Co-Learning for Multi-Domain Text Classification

arXiv 1909.08203 ↗First posted 18 Sep 2019cs.LG cs.IR stat.MLcited by 13

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Abstract (arXiv)

In this paper we propose a novel dual adversarial co-learning approach for multi-domain text classification (MDTC). The approach learns shared-private networks for feature extraction and deploys dual adversarial regularizations to align features across different domains and between labeled and unlabeled data simultaneously under a discrepancy based co-learning framework, aiming to improve the classifiers' generalization capacity with the learned features. We conduct experiments on multi-domain sentiment classification datasets. The results show the proposed approach achieves the state-of-the-art MDTC performance.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Sep 2019.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 2; 2024: 2; 2025: 0; 2026: 1.

13 papers.

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  1. 2021Conditional Adversarial Networks for Multi-Domain Text Classificationcited by 16
  2. 2021Mixup Regularized Adversarial Networks for Multi-Domain Text Classificationcited by 8
  3. 2022A Robust Contrastive Alignment Method For Multi-Domain Text Classificationcited by 6
  4. 2022A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directionscited by 6
  5. 2021Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classificationcited by 3
  6. 2022Co-Regularized Adversarial Learning for Multi-Domain Text Classificationcited by 3
  7. 2022Maximum Batch Frobenius Norm for Multi-Domain Text Classificationcited by 3
  8. 2024Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysiscited by 3
  9. 2021Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptationcited by 2
  10. 2023Decoupled Training: Return of Frustratingly Easy Multi-Domain Learningcited by 1
  11. 2024Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classificationcited by 1
  12. 2023Regularized Conditional Alignment for Multi-Domain Text Classificationcited by 0
1 more
  1. 2026Transfer Learning for Evolving Domainscited by 0