Cover Image

Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Salaudeen, Olawale, Zhang, Haoran, Alhamoud, Kumail, Beery, Sara, Ghassemi, Marzyeh
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What's in a Query: Polarity-Aware Distribution-Based Fair Ranking
by: Balagopalan, Aparna, et al.
Published: (2025)

SpaceVLM: Sub-Space Modeling of Negation in Vision-Language Models
by: Ranjbar, Sepehr Kazemi, et al.
Published: (2025)

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
by: Jin, Qixuan, et al.
Published: (2024)

Causally Inspired Regularization Enables Domain General Representations
by: Salaudeen, Olawale, et al.
Published: (2024)

Train Long, Think Short: Curriculum Learning for Efficient Reasoning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)

ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)

Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
by: Salaudeen, Olawale, et al.
Published: (2025)

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
by: Hamidieh, Kimia, et al.
Published: (2024)

Disparities In Negation Understanding Across Languages In Vision-Language Models
by: Moraitaki, Charikleia, et al.
Published: (2026)

Measuring Stochastic Data Complexity with Boltzmann Influence Functions
by: Ng, Nathan, et al.
Published: (2024)

Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
by: Le, Phuong Quynh, et al.
Published: (2024)

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
by: Alhamoud, Kumail, et al.
Published: (2024)

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
by: Yao, Tianjun, et al.
Published: (2025)

Vision-Language Models Do Not Understand Negation
by: Alhamoud, Kumail, et al.
Published: (2025)

Spurious Feature Diversification Improves Out-of-distribution Generalization
by: Lin, Yong, et al.
Published: (2023)

Environment-Adaptive Covariate Selection: Learning When to Use Spurious Correlations for Out-of-Distribution Prediction
by: Zuo, Shuozhi, et al.
Published: (2026)

Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
by: Yang, Nakyeong, et al.
Published: (2025)

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
by: Liu, Bowen, et al.
Published: (2024)

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
by: Hao, Yuexing, et al.
Published: (2025)

Revisiting Spurious Correlation in Domain Generalization
by: Qin, Bin, et al.
Published: (2024)

An Investigation of Memorization Risk in Healthcare Foundation Models
by: Tonekaboni, Sana, et al.
Published: (2025)

Robustness Beyond Known Groups with Low-rank Adaptation
by: Gourabathina, Abinitha, et al.
Published: (2026)

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
by: Puri, Isha, et al.
Published: (2026)

Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
by: Chen, Xuexin, et al.
Published: (2024)

LEMoN: Label Error Detection using Multimodal Neighbors
by: Zhang, Haoran, et al.
Published: (2024)

BendVLM: Test-Time Debiasing of Vision-Language Embeddings
by: Gerych, Walter, et al.
Published: (2024)

Application-Driven Innovation in Machine Learning
by: Rolnick, David, et al.
Published: (2024)

Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
by: Chan, Yik Siu, et al.
Published: (2025)

Does Weak-to-strong Generalization Happen under Spurious Correlations?
by: Liu, Chenruo, et al.
Published: (2025)

Reassessing the Validity of Spurious Correlations Benchmarks
by: Bell, Samuel J., et al.
Published: (2024)

Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
by: Jo, Sung Ho, et al.
Published: (2025)

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead
by: Sühr, Tom, et al.
Published: (2025)

Understanding the Failure Modes of Out-of-Distribution Generalization
by: Nagarajan, Vaishnavh, et al.
Published: (2020)

Elastic Representation: Mitigating Spurious Correlations for Group Robustness
by: Wen, Tao, et al.
Published: (2025)

IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
by: Yang, Haoran, et al.
Published: (2024)

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
by: Xiao, Yuxin, et al.
Published: (2023)

Training on Plausible Counterfactuals Removes Spurious Correlations
by: Sadiku, Shpresim, et al.
Published: (2025)

Improving Group Robustness on Spurious Correlation via Evidential Alignment
by: Ye, Wenqian, et al.
Published: (2025)