Domain adaptation is an important topic for the application of Machine Learning algorithms. It arises when the distribution of the test data differs from the distribution of the learning data.
GVinoth7/Adversarial-models-for-Domain-Adaptation
Domain adaptation is an important topic for the application of Machine Learning algorithms. It arises when the distribution of the test data differs from the distribution of the learning data. The goal of this work is study existing adversarial algorithms for domain adaptation in order to make a survey of existing method.