Search Results for author:
Found 1 papers, 0 papers with code
Meta-Ensemble Parameter Learning
Knowledge distillation is an approach that allows a single model to efficiently capture the approximate performance of an ensemble while showing poor scalability as demand for re-training when introducing new teacher models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
