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08/29/2023
Exploring Model Transferability through the Lens of Potential Energy
Transfer learning has become crucial in computer vision tasks due to the...
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05/28/2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Data-free meta-learning (DFML) aims to enable efficient learning of new ...
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03/20/2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
The goal of data-free meta-learning is to learn useful prior knowledge f...
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01/16/2023
Modeling Uncertain Feature Representation for Domain Generalization
Though deep neural networks have achieved impressive success on various ...
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03/29/2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Image BERT pre-training with masked image modeling (MIM) becomes a popul...
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04/20/2020