A face database with a large number of high-quality attribute annotations
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Updated
Dec 14, 2021
A face database with a large number of high-quality attribute annotations
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.
Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
Julia Toolkit with fairness metrics and bias mitigation algorithms
Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
[ICCV 2023] Partition-and-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts
Enforcing fairness in binary and multiclass classification
Explainable AI & fashion talk & experiments
Research POC on the mitigation of bias in large language models (FLAN-T5 and Bloomz) through fine-tuning.
Code implementation for BiasMitigationRL, a reinforcement learning-based bias mitigation method.
An ML competition on CodaLab to estimate the age from images while mitigating the bias
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
Fairness in Face Presentation Attack Detection
Detecting & Mitigating Bias: Gender, Age & Site
This German scientific poster (developed as HTML5/React web app) shows the potential implications of racial/social/... Biases in the context of Machine Learning
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