Search Results for author:
Found 2 papers, 1 papers with code
Towards Estimating Transferability using Hard Subsets
As transfer learning techniques are increasingly used to transfer knowledge from the source model to the target task, it becomes important to quantify which source models are suitable for a given target task without performing computationally expensive fine tuning.
Improving Attribution Methods by Learning Submodular Functions
This work explores the novel idea of learning a submodular scoring function to improve the specificity/selectivity of existing feature attribution methods.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
