uiuctml / fair-classificationLinks
Post-processing for fair classification
☆16Updated 5 months ago
Alternatives and similar repositories for fair-classification
Users that are interested in fair-classification are comparing it to the libraries listed below
Sorting:
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆14Updated 5 years ago
- ☆46Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- ☆38Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- ☆21Updated 5 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆10Updated last year
- LISA for ICML 2022☆52Updated 2 years ago
- ☆56Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- ☆37Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Explanation Optimization☆13Updated 5 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Updated 3 years ago
- ☆10Updated 3 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 3 years ago
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆15Updated 2 years ago