Takafumi Kanamori

Learning domain invariant representations by joint Wasserstein distance minimization

2023 · Neural Networks

Domain shifts in the training data are common in practical applications of machine learning; they occur for instance when the data is coming from different sources. Ideally, a ML model should work well independently of …