3 papers
math.OC2025
Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems
Lanyu Lin, Yong-Jin Liu, Bo Wang +1
Multi-task learning enhances model generalization by jointly learning from related tasks. This paper focuses on the -norm constrained multi-task learning problem,…
cs.CV2024
On the Effect of Image Resolution on Semantic Segmentation
Ritambhara Singh, Abhishek Jain, Pietro Perona +2
High-resolution semantic segmentation requires substantial computational resources. Traditional approaches in the field typically downscale the input images before processing and t…
cs.OS2015
EOS: Automatic In-vivo Evolution of Kernel Policies for Better Performance
Yan Cui, Quan Chen, Junfeng Yang
Today's monolithic kernels often implement a small, fixed set of policies such as disk I/O scheduling policies, while exposing many parameters to let users select a policy or adjus…