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Multi-ScaleVMamba: HierarchyinHierarchy VisualStateSpaceModel
Neural Information Processing Systems
Our experiments demonstrate that MSVMamba is highly competitive, with the MSVMamba-Tinymodel achieving83.0%
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Fragment-based Pretraining and Finetuning on Molecular Graphs
Neural Information Processing Systems
Property prediction on molecular graphs is an important application of Graph Neural Networks (GNNs).
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One-to-Multiple: AProgressiveStyleTransfer UnsupervisedDomain-AdaptiveFrameworkfor KidneyTumorSegmentation
Neural Information Processing Systems
However,most existing UDAmethods arelimitedtoone-to-one domain adaptation, which tends tobeinefficient andresourceintensive when faced with multi-target domain transfer tasks.
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
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