bias-reduction topic

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Trusted-AI

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in ca...

dccuchile

NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering

cdancette

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

Frankluox

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

ikosmidis

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

ResponsiblyAI