Work on scaling laws has found that large language models (LMs) show
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This paper introduces FedMLSecurity, a benchmark that simulates adversar...
Language models have been shown to exhibit positive scaling, where
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Representation learning has been increasing its impact on the research a...
Contrastive learning is an efficient approach to self-supervised
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We consider the scenario of deep clustering, in which the available prio...
The inevitable feature deviation of synthetic aperture radar (SAR) image...
Given the prevalence of 3D medical imaging technologies such as MRI and ...
Recent multi-modal contrastive learning models have demonstrated the abi...
Language models (LMs) are becoming the foundation for almost all major
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We present modality gap, an intriguing geometric phenomenon of the
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We introduce biomedical and clinical English model packages for the Stan...
We introduce Stanza, an open-source Python natural language processing
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Supervised learning is limited both by the quantity and quality of the
l...