Improving Adversarial Discriminative Domain Adaptation
Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Improving the robustness of convolutional networks to appearance variability in biomedical images
Factorized Adversarial Networks for Unsupervised Domain Adaptation
Joint auto-encoders: a flexible multi-task learning framework