3 papers
cs.LG2025
Non-Uniform Class-Wise Coreset Selection for Vision Model Fine-tuning
Hanyu Zhang, Zhen Xing, Ruian He +4
Coreset selection aims to identify a small yet highly informative subset of data, thereby enabling more efficient model training while reducing storage overhead. Recently, this cap…
cs.LG2025
Scaling Laws for Data-Efficient Visual Transfer Learning
Wenxuan Yang, Qingqu Wei, Chenxi Ma +2
Current scaling laws for visual AI models focus predominantly on large-scale pretraining, leaving a critical gap in understanding how performance scales for data-constrained downst…
cs.LG2025
A Self-Supervised Paradigm for Data-Efficient Medical Foundation Model Pre-training: V-information Optimization Framework
Wenxuan Yang, Hanyu Zhang, Weimin Tan +2
Self-supervised pre-training medical foundation models on large-scale datasets demonstrate exceptional performance. Recent research challenges this common paradigm by introducing d…