ahxt / fair_fairness_benchmark
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
☆28Updated 11 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
- Papers and online resources related to machine learning fairness☆72Updated last year
- ☆22Updated 5 years ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 9 months ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆77Updated last year
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 4 years ago
- Official implementation of GOAT model (ICML2023)☆37Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 6 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated last year
- This is the project for IRM methods☆12Updated 3 years ago
- Data-efficient Training of Machine Learning Models☆63Updated 4 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- A simple PyTorch implementation of influence functions.☆85Updated 10 months ago
- ☆9Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 3 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆117Updated last year
- Data Optimization in Deep Learning: A Survey☆18Updated last year
- ☆44Updated 8 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆15Updated last month
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximization☆14Updated 2 years ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆18Updated last year
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- ☆86Updated 2 years ago
- ☆24Updated 2 years ago
- Training-free data valuation on deep neural network applications. (ICML-2022)☆24Updated 2 years ago