criteo-research / continuous-fairnessLinks
☆22Updated 6 years ago
Alternatives and similar repositories for continuous-fairness
Users that are interested in continuous-fairness are comparing it to the libraries listed below
Sorting:
- ☆37Updated 2 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆31Updated last year
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆20Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆125Updated 6 months ago
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆90Updated last year
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆82Updated last year
- ☆46Updated last year
- This is a collection of papers and other resources related to fairness.☆95Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆12Updated 3 years ago
- Certified Removal from Machine Learning Models☆68Updated 4 years ago
- ☆18Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- Data-efficient Training of Machine Learning Models☆65Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 3 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year