Search Results for author:
Found 2 papers, 1 papers with code
Adaptive Transfer Learning on Graph Neural Networks
We design an adaptive auxiliary loss weighting model to learn the weights of auxiliary tasks by quantifying the consistency between auxiliary tasks and the target task.
Interpretable Attention Guided Network for Fine-grained Visual Classification
We propose an Interpretable Attention Guided Network (IAGN) for fine-grained visual classification.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
