Imbalanced Classification through the Lens of Spurious Correlations
Fuente:
arXiv
Saved in:
| Main Authors: | Hackstein, Jakob, Bender, Sidney |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them
by: Delzer, Ole, et al.
Published: (2026)
by: Delzer, Ole, et al.
Published: (2026)
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
by: Yang, Yu, et al.
Published: (2023)
by: Yang, Yu, et al.
Published: (2023)
SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
by: Zeid, Ahmed, et al.
Published: (2026)
by: Zeid, Ahmed, et al.
Published: (2026)
Unsupervised Concept Discovery Mitigates Spurious Correlations
by: Arefin, Md Rifat, et al.
Published: (2024)
by: Arefin, Md Rifat, et al.
Published: (2024)
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025)
by: Hosseini, Parsa, et al.
Published: (2025)
The Impact of Coreset Selection on Spurious Correlations and Group Robustness
by: Dharmasiri, Amaya, et al.
Published: (2025)
by: Dharmasiri, Amaya, et al.
Published: (2025)
UnLearning from Experience to Avoid Spurious Correlations
by: Mitchell, Jeff, et al.
Published: (2024)
by: Mitchell, Jeff, et al.
Published: (2024)
Diffusion Counterfactuals for Image Regressors
by: Ha, Trung Duc, et al.
Published: (2025)
by: Ha, Trung Duc, et al.
Published: (2025)
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
by: Noohdani, Fahimeh Hosseini, et al.
Published: (2024)
by: Noohdani, Fahimeh Hosseini, et al.
Published: (2024)
Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs
by: Hasanebrahimi, Afsaneh, et al.
Published: (2026)
by: Hasanebrahimi, Afsaneh, et al.
Published: (2026)
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
by: Zheng, Guangtao, et al.
Published: (2024)
by: Zheng, Guangtao, et al.
Published: (2024)
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
by: Kim, Nayeong, et al.
Published: (2024)
by: Kim, Nayeong, et al.
Published: (2024)
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
by: Puli, Aahlad, et al.
Published: (2022)
by: Puli, Aahlad, et al.
Published: (2022)
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023)
by: Le, Phuong Quynh, et al.
Published: (2023)
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
by: Kim, Jeeyung, et al.
Published: (2024)
by: Kim, Jeeyung, et al.
Published: (2024)
Identifying Spurious Correlations using Counterfactual Alignment
by: Cohen, Joseph Paul, et al.
Published: (2023)
by: Cohen, Joseph Paul, et al.
Published: (2023)
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
by: Liu, Chenruo, et al.
Published: (2025)
by: Liu, Chenruo, et al.
Published: (2025)
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
by: Jin, Qixuan, et al.
Published: (2024)
by: Jin, Qixuan, et al.
Published: (2024)
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition
by: Qraitem, Maan, et al.
Published: (2023)
by: Qraitem, Maan, et al.
Published: (2023)
All-around Neural Collapse for Imbalanced Classification
by: Zhang, Enhao, et al.
Published: (2024)
by: Zhang, Enhao, et al.
Published: (2024)
Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, et al.
Published: (2025)
Towards Desiderata-Driven Design of Visual Counterfactual Explainers
by: Bender, Sidney, et al.
Published: (2025)
by: Bender, Sidney, et al.
Published: (2025)
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
by: Barsbey, Melih, et al.
Published: (2025)
by: Barsbey, Melih, et al.
Published: (2025)
Ensemble of Small Classifiers For Imbalanced White Blood Cell Classification
by: Srivastava, Siddharth, et al.
Published: (2026)
by: Srivastava, Siddharth, et al.
Published: (2026)
A Sober Look at the Robustness of CLIPs to Spurious Features
by: Wang, Qizhou, et al.
Published: (2024)
by: Wang, Qizhou, et al.
Published: (2024)
Benchmarking Spurious Bias in Few-Shot Image Classifiers
by: Zheng, Guangtao, et al.
Published: (2024)
by: Zheng, Guangtao, et al.
Published: (2024)
Uncovering Memorization Effect in the Presence of Spurious Correlations
by: You, Chenyu, et al.
Published: (2025)
by: You, Chenyu, et al.
Published: (2025)
DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
by: Reuss, Joana, et al.
Published: (2026)
by: Reuss, Joana, et al.
Published: (2026)
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)
by: Zohrabi, Reihaneh, et al.
Published: (2025)
Feedback-guided Data Synthesis for Imbalanced Classification
by: Hemmat, Reyhane Askari, et al.
Published: (2023)
by: Hemmat, Reyhane Askari, et al.
Published: (2023)
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
by: Li, Lan, et al.
Published: (2025)
by: Li, Lan, et al.
Published: (2025)
Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
by: Elisha, Yehonatan, et al.
Published: (2026)
by: Elisha, Yehonatan, et al.
Published: (2026)
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
by: Ghaznavi, Mahdi, et al.
Published: (2024)
by: Ghaznavi, Mahdi, et al.
Published: (2024)
Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025)
by: Huang, Gaoxiang, et al.
Published: (2025)
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse
by: Wang, Yining, et al.
Published: (2024)
by: Wang, Yining, et al.
Published: (2024)
Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect Classification
by: Shao, Hao-Chiang, et al.
Published: (2025)
by: Shao, Hao-Chiang, et al.
Published: (2025)
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
by: Ye, Wenqian, et al.
Published: (2024)
by: Ye, Wenqian, et al.
Published: (2024)
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
by: Chen, Ziheng, et al.
Published: (2024)
by: Chen, Ziheng, et al.
Published: (2024)
Similar Items
-
Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them
by: Delzer, Ole, et al.
Published: (2026) -
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
by: Yang, Yu, et al.
Published: (2023) -
SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
by: Zeid, Ahmed, et al.
Published: (2026) -
Unsupervised Concept Discovery Mitigates Spurious Correlations
by: Arefin, Md Rifat, et al.
Published: (2024) -
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025)