Simple data balancing achieves competitive worst-group-accuracy

27 October 2021

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

50 / 125 papers shown

Title
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet Kodai Hirata Tsuyoshi Okita ViT 43 0 0 09 May 2025
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis Xinyuan Yan Xiwei Xuan Jorge Henrique Piazentin Ono Jiajing Guo V. Mohanty Shekar Arvind Kumar Liang Gou Bei Wang Liu Ren 42 0 0 06 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 67 1 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 51 2 0 11 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 150 0 0 24 Mar 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 41 0 0 17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui Hanwang Zhang Chi Zhang 85 0 0 12 Mar 2025
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Massimiliano Mancini MU OOD 77 0 0 12 Mar 2025
Debiased Prompt Tuning in Vision-Language Model without Annotations Chaoquan Jiang Yunfan Yang Rui Hu Jitao Sang VLM 57 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 53 2 0 10 Mar 2025
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks Martin Surner Abdelmajid Khelil Ludwig Bothmann OOD 53 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 109 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 62 2 0 01 Jan 2025
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Yicheng Gao Jinkui Hao Bo Zhou 84 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 105 3 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 28 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 46 6 0 06 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 36 1 0 04 Nov 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 26 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 28 1 0 12 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 28 1 0 08 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 26 3 0 08 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 46 1 0 04 Oct 2024
Causal Inference Tools for a Better Evaluation of Machine Learning Michaël Soumm CML 29 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 45 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 41 0 0 19 Jul 2024
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 31 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 36 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 32 12 0 01 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 30 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 45 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 37 2 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 46 0 0 13 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 40 1 0 02 Jun 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 46 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 58 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 46 112 0 28 Mar 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers Zeliang Zhang Mingqian Feng Zhiheng Li Chenliang Xu 47 8 0 19 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 27 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 47 8 0 04 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 29 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 36 6 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 59 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 39 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 20 3 0 16 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 35 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 20 6 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 24 0 0 09 Dec 2023