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Found 4 papers, 2 papers with code
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing
Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP).
SAMCNet for Spatial-configuration-based Classification: A Summary of Results
This problem is challenging due to an exponential number of category subsets which may vary in the strength of spatial interactions.
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
The proposed physical interpretation improves the transparency of SVANN models and the analytical results highlight the trade-off between model transparency and model performance (e. g., F1-score).
Rethinking Transfer Learning for Medical Image Classification
Transfer learning (TL) from pretrained deep models is a standard practice in modern medical image classification (MIC).
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