2 papers
cs.LG2026
Maximizing Incremental Information Entropy for Contrastive Learning
Jiansong Zhang, Zhuoqin Yang, Xu Wu +3
Contrastive learning has achieved remarkable success in self-supervised representation learning, often guided by information-theoretic objectives such as mutual information maximiz…
cs.CV2024
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning
Jiansong Zhang, Linlin Shen, Peizhong Liu
In recent years, self-supervised contrastive learning has emerged as a distinguished paradigm in the artificial intelligence landscape. It facilitates unsupervised feature learning…