74 citations · 448 across the 40 of their papers we have counts for
4 papers · 1 filter
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…
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots
Weixing Wang, Haojin Yang, Christoph Meinel
Previous studies have shown that demonstrations can significantly help Large Language Models (LLMs ) perform better on the given tasks. However, this so-called In-Context Learning…
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection
Weixing Wang, Haojin Yang, Christoph Meinel +3
In recent years, there has been a growing interest in using Machine Learning (ML), especially Deep Learning (DL) to solve Network Intrusion Detection (NID) problems. However, the f…
Generalized Categories Discovery for Long-tailed Recognition
Ziyun Li, Christoph Meinel, Haojin Yang
Generalized Class Discovery (GCD) plays a pivotal role in discerning both known and unknown categories from unlabeled datasets by harnessing the insights derived from a labeled set…