Sepehr Dehdashtian博士生Computer Science Department Michigan State University关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介My research interests center around Invariant Representation Learning and specifically Fairness in Machine Learning models.I’m passionate about applying ML to real-world problems and am always looking to collaborate with other researchers.研究兴趣论文共 3 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSsSepehr Dehdashtian,Lan Wang,Vishnu Naresh Boddetiarxiv(2024)引用0浏览0引用00Utility-Fairness Trade-Offs and How to Find ThemSepehr Dehdashtian,Bashir Sadeghi,Vishnu Naresh BoddetiCVPR 2024 (2024)引用0浏览0引用00On Characterizing the Trade-off in Invariant Representation LearningBashir Sadeghi,Sepehr Dehdashtian,Vishnu Boddetiarxiv(2022)引用0浏览0EI引用00作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn