[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
翻译 - 一次多目标跟踪的简单基准
#计算机科学#A Python package to assess and improve fairness of machine learning models.
翻译 - 一个Python包，用于评估和提高机器学习模型的公平性。
Tensorflow's Fairness Evaluation and Visualization Toolkit
Papers on fairness in NLP
A curated list of awesome Fairness in AI resources
Comparing fairness-aware machine learning techniques.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
翻译 - FAIR的对象检测研究平台，实现了Mask R-CNN和RetinaNet等流行算法。
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.
Researching background jobs fairness
翻译 - 研究背景工作的公平性
Hands-on tutorial on ML Fairness
All about explainable AI, algorithmic fairness and more
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
Dynamic Fair Rankings
"Algorithms are not arbiters of objective truth and fairness simply because they're math."― Zoe Quinn
A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
Repository for the DBSec 2023 paper "(Local) Differential Privacy has NO Disparate Impact on Fairness"
A tool to help researchers and product teams understand datasets with the goal of improving data quality, and mitigating fairness and bias issues.
翻译 - A tool to help researchers and product teams understand datasets with the goal of improving data quality, and mitigating fairness and bias issues.
