41 citations · 126 across the 31 of their papers we have counts for
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3 papers · 1 filter
cs.CV2022★ 3 cited
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Serban Stan, Mohammad Rostami
The recent prevalence of deep neural networks has lead semantic segmentation networks to achieve human-level performance in the medical field when sufficient training data is provi…
cs.LG2022★ 2 cited
Increasing Model Generalizability for Unsupervised Domain Adaptation
Mohammad Rostami
A dominant approach for addressing unsupervised domain adaptation is to map data points for the source and the target domains into an embedding space which is modeled as the output…
cs.CL2022★ 23 cited
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva +3
Current state-of-the-art vision-and-language models are evaluated on tasks either individually or in a multi-task setting, overlooking the challenges of continually learning (CL) t…