Sebra: Debiasing Through Self-Guided Bias Ranking

30 January 2025

Papers citing "Sebra: Debiasing Through Self-Guided Bias Ranking"

23 / 23 papers shown

Title
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 100 0 0 07 Mar 2025
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias Yu Yang Eric Gan Gintare Karolina Dziugaite Baharan Mirzasoleiman 81 28 0 30 May 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber Rui Hu Yahan Tu Jitao Sang 82 2 0 06 May 2023
Change is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi OOD 74 107 0 23 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 148 22 0 30 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 86 78 0 09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla Soheil Feizi 169 16 0 05 Dec 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 108 14 0 11 Oct 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 83 56 0 20 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 125 339 0 06 Apr 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 88 69 0 11 Mar 2022
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 96 8 0 02 Dec 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 120 183 0 27 Oct 2021
Salient ImageNet: How to discover spurious features in Deep Learning? Sahil Singla Soheil Feizi AAML VLM 121 120 0 08 Oct 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 118 563 0 19 Jul 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 66 32 0 02 Jun 2021
The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh H. Mobahi Richard Y. Zhang Brian Cheung Pulkit Agrawal Phillip Isola 117 116 0 18 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 337 1,452 0 14 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 90 252 0 25 Nov 2020
Learning from Failure: Training Debiased Classifier from Biased Classifier J. Nam Hyuntak Cha SungSoo Ahn Jaeho Lee Jinwoo Shin 84 150 0 06 Jul 2020
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 232 2,682 0 29 Nov 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 624 4,505 0 18 Apr 2017
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 278 8,454 0 28 Nov 2014