brandeis-machine-learning / awesome-ml-fairness
Papers and online resources related to machine learning fairness
☆65Updated last year
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- This is a collection of papers and other resources related to fairness.☆90Updated last year
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆23Updated 4 months ago
- ☆21Updated 5 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆101Updated 8 months ago
- ☆21Updated last year
- Paper List for Fair Graph Learning (FairGL).☆123Updated this week
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆57Updated last year
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆19Updated 3 years ago
- Certified Removal from Machine Learning Models☆62Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆62Updated 6 months ago
- ☆25Updated this week
- A curated list of papers and resources about the distribution shift in machine learning.☆104Updated last year
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- "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu☆14Updated 2 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆58Updated 6 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆53Updated 9 months ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆36Updated 9 months ago
- ☆13Updated 2 years ago
- FR-Train: A Mutual Information-Based Approach to Fair and Robust Training (ICML 2020)☆13Updated 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
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆27Updated last year
- A simple PyTorch implementation of influence functions.☆75Updated 3 months ago
- ☆35Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆48Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆66Updated 7 months ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆42Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆37Updated last year
- Data Optimization in Deep Learning: A Survey☆14Updated 10 months ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated last year
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago