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20212023
most citedBiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

260 citations · 272 across the 12 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.LG2021

Deep Least Squares Alignment for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Unsupervised domain adaptation leverages rich information from a labeled source domain to model an unlabeled target domain. Existing methods attempt to align the cross-domain distr…

cs.CV2021★ 1 cited

Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

Youshan Zhang, Brian D. Davison, Vivien W. Talghader +3

Transmission electron microscopy (TEM) is one of the primary tools to show microstructural characterization of materials as well as film thickness. However, manual determination of…

cs.CV2021

Enhanced Separable Disentanglement for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Domain adaptation aims to mitigate the domain gap when transferring knowledge from an existing labeled domain to a new domain. However, existing disentanglement-based methods do no…

cs.CV2021

Correlated Adversarial Joint Discrepancy Adaptation Network

Youshan Zhang, Brian D. Davison

Domain adaptation aims to mitigate the domain shift problem when transferring knowledge from one domain into another similar but different domain. However, most existing works rely…

cs.IR2021★ 10 cited

WTR: A Test Collection for Web Table Retrieval

Zhiyu Chen, Shuo Zhang, Brian D. Davison

We describe the development, characteristics and availability of a test collection for the task of Web table retrieval, which uses a large-scale Web Table Corpora extracted from th…

cs.CV2021

Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Unsupervised Domain adaptation is an effective method in addressing the domain shift issue when transferring knowledge from an existing richly labeled domain to a new domain. Exist…

cs.CV2021★ 1 cited

Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Domain adaptation (DA) mitigates the domain shift problem when transferring knowledge from one annotated domain to another similar but different unlabeled domain. However, existing…