2 citations · 7 across the 4 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024★ 2 cited
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
Tanmay Garg, Deepika Vemuri, Vineeth N Balasubramanian
This paper presents a novel concept learning framework for enhancing model interpretability and performance in visual classification tasks. Our approach appends an unsupervised exp…
cs.CV2023★ 1 cited
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
Vimal K B, Saketh Bachu, Tanmay Garg +3
Estimating the transferability of publicly available pretrained models to a target task has assumed an important place for transfer learning tasks in recent years. Existing efforts…