Recent advancements in multimodal foundation models (e.g., CLIP) have
ex...
Magnetic Resonance Fingerprinting (MRF) is an efficient quantitative MRI...
Much of named entity recognition (NER) research focuses on developing
da...
Contrastive learning methods achieve state-of-the-art results in unsuper...
In this paper, we propose a theoretical framework to explain the efficac...
Accurate understanding of users in terms of predicative segments play an...
Text moderation for user generated content, which helps to promote healt...
We present our HABERTOR model for detecting hatespeech in large scale
us...
The neural attention mechanism plays an important role in many natural
l...
We consider the problem of Named Entity Recognition (NER) on biomedical
...
User intended actions are widely seen in many areas. Forecasting these
a...