2 papers
cs.CV2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin +1
Recent advances in dataset distillation have led to solutions in two main directions. The conventional batch-to-batch matching mechanism is ideal for small-scale datasets and inclu…
cs.LG2024
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
Ammar Sherif, Abubakar Abid, Mustafa Elattar +1
Multi-Task Learning (MTL) is a powerful technique that has gained popularity due to its performance improvement over traditional Single-Task Learning (STL). However, MTL is often c…