Papers with domain adversarial training
Transformer Based Multi-Source Domain Adaptation (2020.emnlp-main)
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| Challenge: | Existing approaches to improve machine learning performance are mixed experts and domain adversarial training. |
| Approach: | They investigate the problem of unsupervised multi-source domain adaptation . they combine predictions of multiple domain experts and combine them to induce a domain agnostic representation space . |
| Outcome: | The proposed methods improve models' performance while limiting learning time. |