3 papers
cs.LG2026
DFMU: Data-Frugal Machine Unlearning
Sajith U, Prateek Keserwani
Machine unlearning is an emerging domain that ensures the safe removal of elements (includes concepts, attributes, entity and class) from the trained model along with least drop in…
cs.LG2023
Feature Reweighting for EEG-based Motor Imagery Classification
Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra +1
Classification of motor imagery (MI) using non-invasive electroencephalographic (EEG) signals is a critical objective as it is used to predict the intention of limb movements of a…
cs.CV2023
Separate Scene Text Detector for Unseen Scripts is Not All You Need
Prateek Keserwani, Taveena Lotey, Rohit Keshari +1
Text detection in the wild is a well-known problem that becomes more challenging while handling multiple scripts. In the last decade, some scripts have gained the attention of the…