ICLR 2025 Past Other
Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions
SCSL @ ICLR 2025
- Submission deadline
- Feb 17, 2025, 12:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (54)
Fetched from OpenReview (v2) on 2026-06-10.
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A Guide to Misinformation Detection Data and Evaluation
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A Unifying Framework for Causal Imitation Learning with Hidden Confounders
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Are We Done with Object-Centric Learning?
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Assessing Robustness to Spurious Correlations in Post-Training Language Models
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Assessing the Capabilities of Large Brainwave Foundation Models
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Bayesian Invariance Modeling of Multi-Environment Data
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BEYOND DECODABILITY: LINEAR FEATURE SPACES ENABLE VISUAL COMPOSITIONAL GENERALIZATION
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Beyond ID Bias: PCA-Guided Dropout for Robust Fine-tuning
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Can Transformers Learn Tasks of Varying Complexity In-context?
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Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences
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Cross-Instance Contrastive Masking in Vision Transformers for Self-Supervised Hyperspectral Image Classification
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Debugging Concept Bottlenecks through Intervention: Shortcut Removal and Retraining
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Diagnosing the Effects of Pre-training Data on Fine-tuning and Subgroup Robustness for Occupational NER in Clinical Notes
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Distinct Computations Emerge From Compositional Curricula in In-Context Learning
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Efficient Differentiable Discovery of Causal Order
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Evaluating Multi-modal Language Models Through Concept Hacking
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Excessive Supervision and Shortcuts Prevent In-domain Learning of Trivial Graph Search
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Exploiting What Trained Models Learn for Making Them Robust to Spurious Correlations without Group Annotations
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Exploring Ordinal Bias in Action Recognition for Instructional Videos
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Fine-Tuning Pretrained Models with NVIB for Improved Generalisation
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Generalizing to any diverse distribution: uniformity & rebalancing
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GradTune: Last-layer Fine-tuning for Group Robustness Without Group Annotation
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In Search of Forgotten Domain Generalization
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Inducing Group Fairness in Prompt-Based Language Model Decisions
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Knowledge Distillation for Random Data: Soft Labels and Similarity Scores May Contain Memorized Information
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LACER: Loss-Aware Clustering for Effective Reweighting
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LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
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Language-Guided Diffusion for Domain Generalization
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Measuring the Layer-Wise Impact of Image Shortcuts on Deep Model Features
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Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
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Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles
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Mitigating Simplicity Bias in Neural Networks: A Feature Sieve Modification, Regularization, and Self-Supervised Augmentation Approach
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Mitigating Spurious Correlations in Image Recognition Models using Performance-Based Feature Sampling
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Multi-token prediction boosts creativity in algorithmic tasks
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Object-Centric Representations Generalize Better Compositionally with Less Compute
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On the Emergence of Position Bias in Transformers
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On the Unreasonable Effectiveness of Last-Layer Retraining
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One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise
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Privacy Risks and Memorization of Spurious Correlated Data
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ReSL: Enhancing Deep Clustering Through Reset-based Self-Labeling
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Rich feature learning via diversification
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Shortcut Learning Susceptibility in Vision Classifiers
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Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
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Spurious Correlations in Diffusion Models and How to Fix Them
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Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
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Spurious Equilibrium in Segmentation Models and Recurrent Processing in Human Vision
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SpurLens: Finding Spurious Correlations in Multimodal LLMs
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Structured Robustness for Distribution Shifts
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Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
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Towards personalized healthcare without harm via bias modulation
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Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning
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Unveiling and Mitigating Shortcuts in Multimodal In-Context Learning
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VACT: A Video Automatic Causal Testing System and a Benchmark
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Why Foundation Models Struggle with Cross-Modal Context