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07/24/2023
Cross Contrastive Feature Perturbation for Domain Generalization
Domain generalization (DG) aims to learn a robust model from source doma...
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07/11/2023
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks
The success of the GPT series proves that GPT can extract general inform...
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05/13/2023
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Deep neural networks (DNNs) achieve promising performance in visual reco...
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05/13/2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Source-free domain adaptation aims to adapt deep neural networks using o...
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03/20/2023
Feature Alignment and Uniformity for Test Time Adaptation
Test time adaptation (TTA) aims to adapt deep neural networks when recei...
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03/17/2023
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Multi-modality medical imaging is crucial in clinical treatment as it ca...
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03/07/2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
In this paper, considering the balance of data/model privacy of model ow...
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02/05/2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Domain Generalization (DG) is a fundamental challenge for machine learni...
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11/26/2022
