Evaluating the fairness of fine-tuning strategies in self-supervised learning

1 October 2021

Papers citing "Evaluating the fairness of fine-tuning strategies in self-supervised learning"

4 / 4 papers shown

Title
Using Self-supervised Learning Can Improve Model Fairness Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 61 4 0 04 Jun 2024
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 55 2 0 03 Jan 2024
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization Gelei Xu Yawen Wu Jingtong Hu Yiyu Shi FedML 27 2 0 23 Aug 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021