spurious-correlations

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Search lots of data sets for spurious correlations

Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".

Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet

[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

Official Repository for Spurious Memorization - Nature Communications 2025

Understanding Rare Spurious Correlations in Neural Network

Shortcut to Nowhere: Demystifying Deep Spurious Regression

[ICCV25] TD-DETR: The Devil is in the Spurious Correlations: Boosting Moment Retrieval with Dynamic Learning

Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop

Which Shortcut Solution Do Question Answering Models Prefer to Learn? (AAAI2023)

The official repository for "Training Debiased Subnetworks with Contrastive Weight Pruning"

VISION is a framework for robust and interpretable code vulnerability detection using counterfactual data augmentation. It leverages GNNs, LLM-generated counterfactuals, and graph-based explainability to mitigate spurious correlations and improve generalization on real-world vulnerabilities (CWE-20).

How to detect spurious and hidden correlations in R using linear models

This repository contains the code for the paper "Disentangling representations of retinal images with generative models".

Spurious correlation simulator

Codebase for "Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations" (NeurIPS 25 Spotlight)

Official code of our paper "Autoencoder based approach for the mitigation of spurious correlations on YOLOv5"

Mitigating Spurious Correlations for Self-supervised Recommendation