Multi-part Representation Learning For Cross-domain Web Content Classification Using Neural Networks
Author:
Affiliation:
1. IIIT Hyderabad & Xerox Research Centre, Hyderabad, India
2. American Express Big Data Labs & Conduent Labs, Bangalore, India
3. Conduent Labs India, Bangalore, India
4. American Express Big Data Labs & Xerox Research Centre, Bangalore, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3078714.3078745
Reference33 articles.
1. Hana Ajakan Pascal Germain Hugo Larochelle François Lavioleé and Mario Marchand. 2014. Domain-adversarial neural networks. arXiv preprint arXiv:1412.4446 (2014). Hana Ajakan Pascal Germain Hugo Larochelle François Lavioleé and Mario Marchand. 2014. Domain-adversarial neural networks. arXiv preprint arXiv:1412.4446 (2014).
2. Unsupervised Domain Adaptation by Domain Invariant Projection
3. Shai Ben-David John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning 79 1--2 (2010) 151--175. 10.1007/s10994-009-5152-4 Shai Ben-David John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning 79 1--2 (2010) 151--175. 10.1007/s10994-009-5152-4
4. An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification
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