DARE (drop and re-scale) for model merging
DARE (drop and re-scale) is a technique used in model merging to efficiently combine multiple machine learning models, enhancing performance and resource management.
model merging
Model merging (neural networks)
Model merging in neural networks is a technique that combines multiple trained neural network models into a single model. This approach aims to integrate knowledge from different models to improve performance, efficiency, or adaptability.