Standard training techniques for neural networks involve multiple source...
The label shift problem refers to the supervised learning setting where ...
Recently, there has been a surge of interest in representation learning ...
We present a theoretically grounded approach to train deep neural networ...
In many real-world applications of machine learning classifiers, it is
e...