3 papers
cs.CV2024
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation
Mohammadreza Tayaranian, Seyyed Hasan Mozafari, James J. Clark +2
SWIN transformer is a prominent vision transformer model that has state-of-the-art accuracy in image classification tasks. Despite this success, its unique architecture causes slow…
cs.CV2024
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation
Lulan Shen, Ali Edalati, Brett Meyer +2
This paper describes a simple yet effective technique for refining a pretrained classifier network. The proposed AdCorDA method is based on modification of the training set and mak…
cs.LG2024
Robustness to distribution shifts of compressed networks for edge devices
Lulan Shen, Ali Edalati, Brett Meyer +2
It is necessary to develop efficient DNNs deployed on edge devices with limited computation resources. However, the compressed networks often execute new tasks in the target domain…