Simple data balancing achieves competitive worst-group-accuracy

27 October 2021

Papers citing "Simple data balancing achieves competitive worst-group-accuracy"

24 / 124 papers shown

Title
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 68 56 0 04 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 14 16 0 04 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 25 7 0 19 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 358 47 0 01 Sep 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 16 52 0 19 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 6 61 0 14 Jul 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 12 5 0 14 Jul 2022
How does overparametrization affect performance on minority groups? Subha Maity Saptarshi Roy Songkai Xue Mikhail Yurochkin Yuekai Sun 11 3 0 07 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 31 20 0 31 May 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 29 10 0 26 May 2022
Why does Throwing Away Data Improve Worst-Group Error? Kamalika Chaudhuri Kartik Ahuja Martín Arjovsky David Lopez-Paz 15 15 0 23 May 2022
Unintended memorisation of unique features in neural networks J. Hartley Sotirios A. Tsaftaris 15 1 0 20 May 2022
Active Learning Helps Pretrained Models Learn the Intended Task Alex Tamkin Dat Nguyen Salil Deshpande Jesse Mu Noah D. Goodman 10 35 0 18 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 14 15 0 13 Apr 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 13 9 0 07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 24 313 0 06 Apr 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 8 65 0 23 Mar 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification Tian Xia Pedro Sanchez C. Qin Sotirios A. Tsaftaris OOD MedIm 16 12 0 15 Mar 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks J. Hartley Sotirios A. Tsaftaris 14 8 0 16 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 10 77 0 14 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 11 25 0 10 Feb 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 510 0 31 Aug 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016