uiuctml / fair-classification
Post-processing for fair classification
☆11Updated last week
Related projects ⓘ
Alternatives and complementary repositories for fair-classification
- Understanding Rare Spurious Correlations in Neural Network☆11Updated 2 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Updated 2 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆12Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆42Updated last year
- ☆19Updated 4 years ago
- ☆55Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 3 years ago
- ☆34Updated 3 years ago
- ☆15Updated 4 years ago
- ☆25Updated 4 months ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆22Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- ☆17Updated 2 years ago
- ☆37Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated last year
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆45Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- ☆32Updated 9 months ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"☆24Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆40Updated last year
- ☆26Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆15Updated last year
- Explanation Optimization☆13Updated 4 years ago
- ☆24Updated 3 years ago