5 citations · 8 across the 7 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
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.LG2024★ 1 cited
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo Song, Hao Zhao, Soumajit Majumder +1
Fine-tuning large pre-trained foundation models, such as the 175B GPT-3, has attracted more attention for downstream tasks recently. While parameter-efficient fine-tuning methods h…