A Generalized Supervised Contrastive Learning Framework
By Jaewon Kim, Jooyoung Chang, Sang Min Park. 2022
3 citations recorded by the source corpus.
Subfields: Representation & Self-Supervised Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Representation & Self-Supervised Learning
- Ali Farhadi
- Sachin Mehta
- Mehrdad Farajtabar
- Hadi Pouransari
- Mohammad Rastegari
- Oncel Tuzel
- Fartash Faghri
Citations in the corpus
- Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement (2023, methodology): “For self-supervised learning, [30] adapted modern image-based regularizations with KD to improve the contrastive loss with some supervision.”