ahxt / fair_fairness_benchmarkLinks
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
☆31Updated last year
Alternatives and similar repositories for fair_fairness_benchmark
Users that are interested in fair_fairness_benchmark are comparing it to the libraries listed below
Sorting:
- ☆22Updated 6 years ago
- Papers and online resources related to machine learning fairness☆75Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 10 months ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆135Updated 10 months ago
- This is a collection of papers and other resources related to fairness.☆94Updated last month
- Implementation of Minimax Pareto Fairness framework☆22Updated 5 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- ☆49Updated last year
- Data-efficient Training of Machine Learning Models☆68Updated 5 years ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆34Updated last year
- ☆27Updated 3 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 repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- ☆13Updated 3 years ago
- ☆34Updated last week
- ☆37Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆91Updated last year
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- A Python Data Valuation Package☆30Updated 2 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)☆18Updated 2 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆38Updated 2 years ago
- Code for coreset selection methods☆247Updated 2 years ago