2 papers
cs.CV2024
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification
Zi Yang, Haojin Yang, Soumajit Majumder +2
Previous studies have demonstrated that not each sample in a dataset is of equal importance during training. Data pruning aims to remove less important or informative samples while…
cs.AI2024
Command-line Risk Classification using Transformer-based Neural Architectures
Paolo Notaro, Soroush Haeri, Jorge Cardoso +1
To protect large-scale computing environments necessary to meet increasing computing demand, cloud providers have implemented security measures to monitor Operations and Maintenanc…