Multi-domain learning (MDL) aims to train a model with minimal average r...
Multi-task learning (MTL) has gained significant popularity in recommend...
Out-of-distribution (OOD) generalization, where the model needs to handl...
The goal of multi-task learning is to utilize useful knowledge from mult...
Multi-task learning (MTL) models have demonstrated impressive results in...
Deep neural networks achieve remarkable performances on a wide range of ...
To mitigate the burden of data labeling, we aim at improving data effici...
Domain adaptation (DA) aims at transferring knowledge from a labeled sou...
Deep learning has made revolutionary advances to diverse applications in...
It is common within the deep learning community to first pre-train a dee...
Domain Adaptation (DA) enables transferring a learning machine from a la...
Domain Adaptation (DA) transfers a learning model from a labeled source
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