lucweytingh / ARL-UvA
A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demographics through Adversarially Reweighted Learning".
☆20Updated 4 years ago
Alternatives and similar repositories for ARL-UvA:
Users that are interested in ARL-UvA are comparing it to the libraries listed below
- ☆22Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Updated 3 years ago
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆16Updated 3 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated last year
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆28Updated 10 months ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆19Updated 4 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆12Updated 3 weeks ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 10 months ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated last year
- Papers and online resources related to machine learning fairness☆70Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 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 is the project for IRM methods☆12Updated 3 years ago
- ☆37Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆68Updated last year
- Training-free data valuation on deep neural network applications. (ICML-2022)☆24Updated 2 years ago
- ☆12Updated last year
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆74Updated last year
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 5 months ago
- ☆42Updated 2 years ago
- Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems☆59Updated 2 months ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago