KL guided domain adaptation
Domain adaptation is an important problem and often needed for real-world applications. In this problem, instead of i.i.d. training and testing datapoints, we assume that the source (training) data and the target (testing) data have different distributions. With that setting, the empirical risk mini...
| Main Authors: | , , , , |
|---|---|
| Format: | Internet publication |
| Language: | English |
| Published: |
arXiv
2021
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