[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
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Updated
Jul 10, 2023 - Python
[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
How to detect spurious and hidden correlations in R using linear models
The official repository for "Training Debiased Subnetworks with Contrastive Weight Pruning"
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
Spurious correlation simulator
Mitigating Spurious Correlations for Self-supervised Recommendation
Autoencoder based approach for the mitigation of spurious correlations on YOLOv5 detections
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
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