On Feature Learning in the Presence of Spurious Correlations

20 October 2022

Papers citing "On Feature Learning in the Presence of Spurious Correlations"

50 / 94 papers shown

Title
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 64 1 0 24 Apr 2025
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 51 0 0 07 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 39 0 0 25 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 50 0 0 23 Mar 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 36 0 0 17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 83 0 0 12 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 138 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 48 2 0 10 Mar 2025
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization Keane Ong Rui Mao Deeksha Varshney Erik Cambria G. Mengaldo 51 0 0 20 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 54 0 0 10 Feb 2025
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment Haoyu Wang Zeyu Qin Li Shen Xueqian Wang Minhao Cheng Dacheng Tao 91 1 0 06 Feb 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 117 0 0 03 Feb 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations Haocheng Dai Sarang Joshi VLM 66 0 0 03 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 60 2 0 01 Jan 2025
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
On the Surprising Effectiveness of Attention Transfer for Vision Transformers Alexander C. Li Yuandong Tian B. Chen Deepak Pathak Xinlei Chen 38 0 0 14 Nov 2024
Impact of Label Noise on Learning Complex Features Rahul Vashisht P. Krishna Kumar Harsha Vardhan Govind H. G. Ramaswamy NoLa 31 0 0 07 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 44 6 0 06 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 47 6 0 27 Oct 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraru Antonio Bărbălău Radu Filipescu Andrei Liviu Nicolicioiu Elena Burceanu 23 0 0 24 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 24 0 0 18 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
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting Humza Wajid Hameed Géraldin Nanfack Eugene Belilovsky 24 1 0 23 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy D. Mocanu 35 1 0 13 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection Niklas Risse Marcel Bohme Marcel Böhme 43 4 0 23 Aug 2024
Say My Name: a Model's Bias Discovery Framework Massimiliano Ciranni Luca Molinaro C. Barbano A. Fiandrotti Vittorio Murino Vito Paolo Pastore Enzo Tartaglione 30 3 0 18 Aug 2024
On the Generalization of Preference Learning with DPO Shawn Im Yixuan Li 44 1 0 06 Aug 2024
Out of spuriousity: Improving robustness to spurious correlations without group annotations Phuong Quynh Le Jorg Schlotterer Christin Seifert CML OOD 35 2 0 20 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
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys George Adamopoulos Mehrab Hamidi Stephanie Milani Mohammad Reza Samsami Artem Zholus Sonia Joseph Blake A. Richards Irina Rish Özgür Simsek 40 2 0 16 Jul 2024
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition Barproda Halder Faisal Hamman Pasan Dissanayake Qiuyi Zhang Ilia Sucholutsky Sanghamitra Dutta 31 2 0 29 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 47 1 0 17 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 40 0 0 15 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors Zongbin Wang Bin Pan Shiyu Shen Tianyang Shi Zhenwei Shi AI4CE 26 0 0 09 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 37 5 0 30 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 28 4 0 06 May 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 21 3 0 22 Apr 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models Tao Feng Lizhen Qu Zhuang Li Haolan Zhan Yuncheng Hua Gholamreza Haffari VLM 32 1 0 21 Apr 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities Dana Moukheiber S. Mahindre L. Moukheiber Mira Moukheiber Mingchen Gao 54 2 0 27 Mar 2024
Are Compressed Language Models Less Subgroup Robust? Leonidas Gee Andrea Zugarini Novi Quadrianto 28 1 0 26 Mar 2024
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 34 1 0 21 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 26 0 0 20 Mar 2024
Shortcut Learning in Medical Image Segmentation Manxi Lin Nina Weng K. Mikolaj Zahra Bashir M. B. S. Svendsen M. Tolsgaard Anders Christensen Aasa Feragen SSeg VLM 32 3 0 11 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
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 18 3 0 16 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 34 6 0 26 Jan 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Kirill Bykov AAML 32 6 0 11 Jan 2024
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 37 12 0 07 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 32 1 0 05 Dec 2023