Simple data balancing achieves competitive worst-group-accuracy

27 October 2021

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

50 / 124 papers shown

Title
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet Kodai Hirata Tsuyoshi Okita ViT 28 0 0 09 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 60 0 0 24 Apr 2025
Steering CLIP's vision transformer with sparse autoencoders Sonia Joseph Praneet Suresh Ethan Goldfarb Lorenz Hufe Yossi Gandelsman Robert Graham Danilo Bzdok Wojciech Samek Blake A. Richards 46 1 0 11 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 47 0 0 24 Mar 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 31 0 0 17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 65 0 0 12 Mar 2025
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Massimiliano Mancini MU OOD 67 0 0 12 Mar 2025
Debiased Prompt Tuning in Vision-Language Model without Annotations Chaoquan Jiang Yunfan Yang Rui Hu Jitao Sang VLM 52 0 0 11 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 34 2 0 10 Mar 2025
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks Martin Surner Abdelmajid Khelil Ludwig Bothmann OOD 46 0 0 26 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 68 1 1 30 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 43 2 0 01 Jan 2025
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Yicheng Gao Jinkui Hao Bo Zhou 76 0 0 20 Dec 2024
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling Seonguk Seo Bohyung Han 81 0 0 19 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 92 2 0 10 Dec 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 25 0 0 15 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma Jean-Benoit Delbrouck Zhihong Chen Akshay S. Chaudhari C. Langlotz VLM 27 1 0 06 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 18 0 0 04 Nov 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 19 0 0 18 Oct 2024
Debiasing Vison-Language Models with Text-Only Training Yunfan Yang Chaoquan Jiang Zhiyu Lin Jinlin Xiao Jiaming Zhang Jitao Sang VLM 21 1 0 12 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 13 1 0 08 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 21 3 0 08 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 30 1 0 04 Oct 2024
Causal Inference Tools for a Better Evaluation of Machine Learning Michaël Soumm CML 19 1 0 02 Oct 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 30 1 0 30 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 25 0 0 19 Jul 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 16 7 0 16 Jul 2024
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers Salvatore Greco Ke Zhou L. Capra Tania Cerquitelli Daniele Quercia 21 2 0 01 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 19 9 0 01 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 22 0 0 28 Jun 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 24 1 0 25 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection Saachi Jain Kimia Hamidieh Kristian Georgiev Andrew Ilyas Marzyeh Ghassemi Aleksander Madry 25 1 0 24 Jun 2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading Nathan Stromberg Rohan Ayyagari Sanmi Koyejo Richard Nock Lalitha Sankar 31 0 0 13 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 22 1 0 02 Jun 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 27 0 0 28 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 32 3 0 23 May 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 38 110 0 28 Mar 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers Zeliang Zhang Mingqian Feng Zhiheng Li Chenliang Xu 39 8 0 19 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 25 8 0 05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 34 9 0 04 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 16 3 0 29 Feb 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation Fahimeh Hosseini Noohdani Parsa Hosseini Aryan Yazdan Parast Hamidreza Yaghoubi Araghi M. Baghshah CoGe OOD 18 0 0 29 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin Yan Zhang A. Baratin Francesco Locatello Irina Rish Dianbo Liu Kenji Kawaguchi 30 6 0 20 Feb 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 26 33 0 20 Feb 2024
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains Nathan Stromberg Rohan Ayyagari Monica Welfert Sanmi Koyejo Richard Nock Lalitha Sankar 13 3 0 16 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 21 6 0 26 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 19 0 0 04 Jan 2024
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 15 5 0 11 Dec 2023
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs Chaoquan Jiang Jinqiang Wang Rui Hu Jitao Sang 8 0 0 09 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 6 3 0 07 Dec 2023