ahxt / fair_fairness_benchmark
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
☆28Updated 10 months ago
Alternatives and similar repositories for fair_fairness_benchmark:
Users that are interested in fair_fairness_benchmark are comparing it to the libraries listed below
- ☆22Updated 5 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Papers and online resources related to machine learning fairness☆70Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated last month
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- Data-efficient Training of Machine Learning Models☆62Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 2 years ago
- ☆9Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆37Updated last year
- A simple PyTorch implementation of influence functions.☆85Updated 9 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆72Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 5 months ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 4 years ago
- ☆22Updated 2 years ago
- ☆26Updated last week
- Code for paper: Are Large Language Models Post Hoc Explainers?☆30Updated 8 months ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆30Updated last year
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- ☆13Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆47Updated 9 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- A Python Data Valuation Package☆30Updated 2 years ago
- ☆20Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆68Updated last year
- ☆17Updated 3 years ago
- ☆37Updated 2 years ago
- ☆44Updated 7 months ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆65Updated last year
- This is the project for IRM methods☆12Updated 3 years ago