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Found 2 papers, 1 papers with code
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models
We hypothesize that domain pre-trained models such as CXR-BERT, BlueBERT, and ClinicalBERT offer the potential to improve the performance of CLIP-like models with specific domain knowledge by replacing BERT weights at the cost of breaking the original model's alignment.
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
Topic models are some of the most popular ways to represent textual data in an interpret-able manner.
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