Avoiding spurious correlations via logit correction

2 December 2022

Sheng Liu

Papers citing "Avoiding spurious correlations via logit correction"

37 / 37 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 78 0 0 11 May 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 205 1 0 22 Mar 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 196 0 0 03 Feb 2025
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 76 4 0 08 Oct 2024
Automated radiotherapy treatment planning guided by GPT-4Vision Sheng Liu O. Pastor-Serrano Yizheng Chen Matthew Gopaulchan Weixing Liang ... Michael Gensheimer P. Dong Yong Yang James Zou Lei Xing 93 7 0 21 Jun 2024
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 70 18 0 16 Sep 2023
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 95 36 0 19 Sep 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 80 336 0 06 Apr 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 68 108 0 28 Feb 2022
Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao Yu Wang Sai Li Linjun Zhang Weixin Liang James Zou Chelsea Finn OOD OODD 84 222 0 02 Jan 2022
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 63 88 0 23 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 99 50 0 06 Aug 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 91 561 0 19 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 55 155 0 03 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 54 80 0 23 Jun 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 69 43 0 28 Mar 2021
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 77 90 0 05 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 73 251 0 25 Nov 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 59 177 0 29 Oct 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 120 709 0 14 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 104 566 0 30 Jun 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 188 379 0 09 May 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 62 73 0 20 Feb 2020
On the design of convolutional neural networks for automatic detection of Alzheimer's disease Sheng Liu Chhavi Yadav C. Fernandez‐Granda N. Razavian 70 47 0 09 Nov 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 73 383 0 27 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 179 2,229 0 05 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 124 1,602 0 18 Jun 2019
REPAIR: Removing Representation Bias by Dataset Resampling Yi Li Nuno Vasconcelos FaML 70 287 0 16 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 172 3,435 0 28 Mar 2019
Bag of Freebies for Training Object Detection Neural Networks Zhi-Li Zhang Tong He Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li VLM ObjD 49 187 0 11 Feb 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 59 410 0 26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 577 10,555 0 12 Dec 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 92 849 0 13 Jul 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 83 2,602 0 20 May 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data Guillem Collell D. Prelec K. Patil 55 44 0 28 Jun 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 241 8,408 0 28 Nov 2014