11 citations · 16 across the 7 of their papers we have counts for
4 papers · 1 filter
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang +2
The maximum entropy encoding framework provides a unified perspective for many non-contrastive learning methods like SimSiam, Barlow Twins, and MEC. Inspired by this framework, we…
RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
Yifan Zhang, Jingqin Yang, Zhiquan Tan +1
Semi-supervised learning has emerged as a pivotal approach for leveraging scarce labeled data alongside abundant unlabeled data. Despite significant progress, prevailing SSL method…
Contrastive Learning Is Spectral Clustering On Similarity Graph
Zhiquan Tan, Yifan Zhang, Jingqin Yang +1
Contrastive learning is a powerful self-supervised learning method, but we have a limited theoretical understanding of how it works and why it works. In this paper, we prove that c…
Trade-off Between Efficiency and Consistency for Removal-based Explanations
Yifan Zhang, Haowei He, Zhiquan Tan +1
In the current landscape of explanation methodologies, most predominant approaches, such as SHAP and LIME, employ removal-based techniques to evaluate the impact of individual feat…