Machine Learning, Artificial Intelligence, Technology, Data Science, Programming.
equation 13. First, we got λ, which weighs our domain loss. The rest is business as usual with, “The only difference is that in (13), the gradients from the class and domain predictors are subtracted, instead of being summed (the difference is important, as otherwise SGD would try to make features