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Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

25 January 2024
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
ArXivPDFHTML

Papers citing "Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective"

4 / 4 papers shown
Title
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
144
368
0
09 May 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
237
455
0
11 Mar 2020
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
229
443
0
28 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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