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05/13/2022
Test-time Fourier Style Calibration for Domain Generalization
The topic of generalizing machine learning models learned on a collectio...
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04/12/2021
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging
Application of deep neural networks to medical imaging tasks has in some...
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02/25/2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning
We consider a model-agnostic solution to the problem of Multi-Domain Lea...
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02/12/2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Typical machine learning frameworks heavily rely on an underlying assump...
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02/07/2021
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve
Theoretically, domain adaptation is a well-researched problem. Further, ...
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02/21/2019