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