Dissecting Supervised Constrastive Learning

By Florian Graf, Christoph Hofer, Marc Niethammer, Roland Kwitt. 2021

74 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dacheng Tao
2. Philip H. S. Torr
3. Rahaf Aljundi
4. Eugene Belilovsky
5. Xiangtai Li
6. Yibo Yang
7. Lucas Caccia
8. Nader Asadi

Citations in the corpus

• Probing Representation Forgetting in Supervised and Unsupervised Continual Learning (2022, background): “As well they are becoming a popular alternative to cross-entropy (CE) in the supervised setting [12, 21], referred to as SupCon.”
• Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning (2023, methodology): “This simplification has been widely adopted in prior studies to facilitate analysis (Graf et al., 2021; Fang et al., 2021; Zhu et al., 2021b).”