Visual Analysis of Discrimination in Machine Learning

v1v2 (latest)

Visual Analysis of Discrimination in Machine Learning

30 July 2020

Huamin Qu

ArXiv (abs)PDF HTML

Papers citing "Visual Analysis of Discrimination in Machine Learning"

8 / 8 papers shown

Title
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 82 0 0 12 Apr 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 104 8 0 13 Dec 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 80 6 0 12 Oct 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 76 7 0 20 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 97 41 0 10 Aug 2022
Visual Identification of Problematic Bias in Large Label Spaces Alex Bauerle Aybuke Turker Ken Burke Osman Aka Timo Ropinski Christina Greer Mani Varadarajan 67 1 0 17 Jan 2022
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation Juana Valeria Hurtado Laura Londoño Abhinav Valada 93 29 0 07 Jan 2021
Online Decision Trees with Fairness Wenbin Zhang Liang Zhao 62 17 0 15 Oct 2020