no code implementations • 17 Jan 2023 • Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar
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.
1 code implementation • 19 Apr 2021 • Piyushi Manupriya, Tarun Ram Menta, J. Saketha Nath, Vineeth N Balasubramanian
This work explores the novel idea of learning a submodular scoring function to improve the specificity/selectivity of existing feature attribution methods.