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On Feature Learning in the Presence of Spurious Correlations

On Feature Learning in the Presence of Spurious Correlations

20 October 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
ArXiv (abs)PDFHTML

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

50 / 96 papers shown
Title
LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
Pradyut Sekhsaria
Marcel Mateos Salles
Hai Huang
Randall Balestriero
15
0
0
13 Jun 2025
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Minh-Son To
Paul F RWilson
Viet Nguyen
Mohamed Harmanani
Michael Cooper
Fahimeh Fooladgar
Purang Abolmaesumi
Parvin Mousavi
Rahul G. Krishnan
35
0
0
29 May 2025
NeuronTune: Towards Self-Guided Spurious Bias Mitigation
NeuronTune: Towards Self-Guided Spurious Bias Mitigation
Guangtao Zheng
Wenqian Ye
Aidong Zhang
33
0
0
29 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
31
0
0
28 May 2025
Subgroups Matter for Robust Bias Mitigation
Subgroups Matter for Robust Bias Mitigation
A. Alloula
Charles Jones
Ben Glocker
Bartłomiej W. Papież
62
0
0
27 May 2025
Spurious Privacy Leakage in Neural Networks
Spurious Privacy Leakage in Neural Networks
Chenxiang Zhang
Jun Pang
S. Mauw
44
0
0
26 May 2025
On the Role of Label Noise in the Feature Learning Process
On the Role of Label Noise in the Feature Learning Process
Andi Han
Wei Huang
Zhanpeng Zhou
Gang Niu
Wuyang Chen
Junchi Yan
Akiko Takeda
Taiji Suzuki
NoLaMLT
145
0
0
25 May 2025
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
Nikolaos Chaidos
Angeliki Dimitriou
Maria Lymperaiou
Giorgos Stamou
67
0
0
21 May 2025
Policy Contrastive Decoding for Robotic Foundation Models
Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu
Ji Zhang
Xu Luo
Junlin Xie
Jingkuan Song
Heng Tao Shen
Lianli Gao
OffRL
266
0
0
19 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
114
1
0
24 Apr 2025
Intermediate Layer Classifiers for OOD generalization
Intermediate Layer Classifiers for OOD generalization
Arnas Uselis
Seong Joon Oh
OOD
182
2
0
07 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
102
0
0
25 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
99
1
0
23 Mar 2025
Gradient Extrapolation for Debiased Representation Learning
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad
M. Shadaydeh
Joachim Denzler
83
0
0
17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
Haiqi Zhang
Chi Zhang
159
0
0
12 Mar 2025
Seal Your Backdoor with Variational Defense
Seal Your Backdoor with Variational Defense
Ivan Sabolić
Matej Grcić
Sinisa Segvic
AAML
460
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
105
2
0
10 Mar 2025
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
Keane Ong
Rui Mao
Deeksha Varshney
Min Zhang
G. Mengaldo
154
0
0
20 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups
Géraldin Nanfack
Eugene Belilovsky
122
0
0
10 Feb 2025
Safety Reasoning with Guidelines
Safety Reasoning with Guidelines
Haoyu Wang
Zeyu Qin
Li Shen
Xueqian Wang
Minhao Cheng
Dacheng Tao
178
4
0
06 Feb 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Simone Bombari
Marco Mondelli
301
0
0
03 Feb 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Refining Skewed Perceptions in Vision-Language Models through Visual Representations
Haocheng Dai
Sarang Joshi
VLM
138
0
0
03 Jan 2025
Uncovering Memorization Effect in the Presence of Spurious Correlations
Uncovering Memorization Effect in the Presence of Spurious Correlations
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
159
3
0
01 Jan 2025
Towards Utilising a Range of Neural Activations for Comprehending
  Representational Associations
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
Laura O'Mahony
Nikola S. Nikolov
David JP O'Sullivan
148
0
0
15 Nov 2024
On the Surprising Effectiveness of Attention Transfer for Vision
  Transformers
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
Alexander C. Li
Yuandong Tian
Bin Chen
Deepak Pathak
Xinlei Chen
75
3
0
14 Nov 2024
Impact of Label Noise on Learning Complex Features
Impact of Label Noise on Learning Complex Features
Rahul Vashisht
P. Krishna Kumar
Harsha Vardhan Govind
H. G. Ramaswamy
NoLa
62
0
0
07 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned
  Vision-Language Models
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
116
9
0
06 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
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
FedMLMoMeAI4CE
136
9
0
27 Oct 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
Cristian Daniel Păduraru
Antonio Bărbălău
Radu Filipescu
Andrei Liviu Nicolicioiu
Elena Burceanu
61
0
0
24 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
88
0
0
18 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
88
1
0
04 Oct 2024
Not Only the Last-Layer Features for Spurious Correlations: All Layer
  Deep Feature Reweighting
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
Humza Wajid Hameed
Géraldin Nanfack
Eugene Belilovsky
72
1
0
23 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners?
Are Sparse Neural Networks Better Hard Sample Learners?
Q. Xiao
Boqian Wu
Lu Yin
Christopher Neil Gadzinski
Tianjin Huang
Mykola Pechenizkiy
Decebal Constantin Mocanu
85
1
0
13 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
94
1
0
04 Sep 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Niklas Risse
Marcel Bohme
Marcel Böhme
114
7
0
23 Aug 2024
Say My Name: a Model's Bias Discovery Framework
Say My Name: a Model's Bias Discovery Framework
Massimiliano Ciranni
Luca Molinaro
C. Barbano
Attilio Fiandrotti
Vittorio Murino
Vito Paolo Pastore
Enzo Tartaglione
95
3
0
18 Aug 2024
On the Generalization of Preference Learning with DPO
On the Generalization of Preference Learning with DPO
Shawn Im
Yixuan Li
75
2
0
06 Aug 2024
Out of spuriousity: Improving robustness to spurious correlations
  without group annotations
Out of spuriousity: Improving robustness to spurious correlations without group annotations
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
CMLOOD
65
2
0
20 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under
  Spurious Correlations
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
Tyler LaBonte
John C. Hill
Xinchen Zhang
Vidya Muthukumar
Abhishek Kumar
AAML
72
2
0
19 Jul 2024
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft
  Agent
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
80
3
0
16 Jul 2024
Quantifying Spuriousness of Biased Datasets Using Partial Information
  Decomposition
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition
Barproda Halder
Faisal Hamman
Pasan Dissanayake
Qiuyi Zhang
Ilia Sucholutsky
Sanghamitra Dutta
85
2
0
29 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
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
85
1
0
17 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
103
3
0
15 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
118
0
0
09 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced
  Learning
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer
Vaishnavh Nagarajan
Aditi Raghunathan
120
6
0
30 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation
  Mitigation
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
Guangtao Zheng
Wenqian Ye
Aidong Zhang
72
7
0
06 May 2024
Improving Group Robustness on Spurious Correlation Requires Preciser
  Group Inference
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han
Difan Zou
AAML
100
4
0
22 Apr 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for
  Out-of-Distribution Text Classification with Pre-trained Models
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
Tao Feng
Zhuang Li
Zhuang Li
Haolan Zhan
Yuncheng Hua
Gholamreza Haffari
VLM
92
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
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
97
2
0
27 Mar 2024
Are Compressed Language Models Less Subgroup Robust?
Are Compressed Language Models Less Subgroup Robust?
Leonidas Gee
Andrea Zugarini
Novi Quadrianto
71
1
0
26 Mar 2024
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