Out-of-distribution (OOD) generalization, where the model needs to handl...
Transfer learning aims to leverage knowledge from pre-trained models to
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The success of deep learning algorithms generally depends on large-scale...
Learning a generalizable deep model from a few examples in a short time
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With the development of deep networks on various large-scale datasets, a...
Leveraging datasets available to learn a model with high generalization
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