A list of recent works in Fairness in Network Representation Learning
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Updated
Mar 22, 2022
A list of recent works in Fairness in Network Representation Learning
Fairness-aware Data Mining
Distillation of GANs with fairness constraints
Implementations of Fair-NeRV/Fair-t-NeRV
This Repository is for Kaggle NLP Challenge
This project Implements the paper “Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces” using the Python language.
Asynchronous distributed pricing, is an algorithm to make a fairness between wireless network.
🗝An interactive piece on the different types of fairness.
Presentation for a brief talk at URI about ethics in data science
major ideas of the session "Fair Clustering" from the NeurIPS 2019 conference
A KTANE mod preventing some exploits in competitive play.
Exercise repository for Algorithmic Fairness, Accountability and Ethics (Spring 2022), IT University of Copenhagen
MANILA, a low-code framework for Quality-Based ML development
A model-based algorithm for the fair-capacitated clustering problem
This repository is for the research project: Is Meritocracy Just? (MERITJUST). Please cite my paper using the link below if you use any of its materials. Duong, K. Is meritocracy just? New evidence from Boolean analysis and Machine learning. J Comput Soc Sc (2024).
Source code for Yik, W., Serafini, L., Lindsey, T., Montañez, G. (2022). Identifying Bias in Data Using Two-Distribution Hypothesis Tests. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society. https://doi.org/10.1145/3514094.3534169
Reproducibility report for "CrossWalk: Fairness-enhanced Node Representation Learning" - Investigating the original claims, code refactoring, ablation study, visualisations and a proposed enhancement.
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