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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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01/16/2023
Modeling Uncertain Feature Representation for Domain Generalization
Though deep neural networks have achieved impressive success on various ...
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12/29/2022
The semi-implicit Euler-Maruyama method for nonlinear non-autonomous stochastic differential equations driven by a class of Lévy processes
In this paper, we investigate the strong convergence of the semi-implici...
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05/19/2022
Masked Image Modeling with Denoising Contrast
Since the development of self-supervised visual representation learning ...
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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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02/08/2022
Uncertainty Modeling for Out-of-Distribution Generalization
Though remarkable progress has been achieved in various vision tasks, de...
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10/06/2021
Explicit numerical method for highly non-linear time-changed stochastic differential equations
An explicit numerical method is developed for a class of time-changed st...
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05/19/2021
