[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

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

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

Understanding Rare Spurious Correlations in Neural Network

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

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

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

Spurious correlation simulator

Mitigating Spurious Correlations for Self-supervised Recommendation

Autoencoder based approach for the mitigation of spurious correlations on YOLOv5 detections

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

This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)