1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Learning Where to Edit Vision Transformers
Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen +2
Model editing aims to data-efficiently correct predictive errors of large pre-trained models while ensuring generalization to neighboring failures and locality to minimize unintend…
cs.CV2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Yunqiao Yang, Long-Kai Huang, Ying Wei
A multitude of prevalent pre-trained models mark a major milestone in the development of artificial intelligence, while fine-tuning has been a common practice that enables pretrain…
q-bio.BM2022★ 1 cited
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?
Ziqiao Zhang, Yatao Bian, Ailin Xie +3
Self-supervised pre-training is gaining increasingly more popularity in AI-aided drug discovery, leading to more and more pre-trained models with the promise that they can extract…