Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for ...

Research team proposed RSLR, a robust self-training approach with label refinement for unsupervised domain adaptation under label noise. It uses LNet for pseudo-labeling and TNet for target-specific ...