criteo-research / continuous-fairness
☆22Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for continuous-fairness
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- ☆35Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆14Updated 4 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated last year
- A simple PyTorch implementation of influence functions.☆79Updated 5 months ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆28Updated 6 months ago
- Certified Removal from Machine Learning Models☆63Updated 3 years ago
- Official code repository for Correct-N-Contrast☆20Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆28Updated 11 months ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆49Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆63Updated 8 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆88Updated 3 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆68Updated 6 months ago
- Papers and online resources related to machine learning fairness☆65Updated last year
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆18Updated 3 years ago
- ☆38Updated 3 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 4 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆17Updated last month
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆16Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆40Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆44Updated 5 months ago