Search Results for author:
Found 1 papers, 0 papers with code
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
Recent work has shown that using unlabeled data in semi-supervised learning is not always beneficial and can even hurt generalization, especially when there is a class mismatch between the unlabeled and labeled examples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
