Understanding Bias in Machine Learning

Understanding Bias in Machine Learning

2 September 2019

Jindong Gu

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Papers citing "Understanding Bias in Machine Learning"

9 / 9 papers shown

Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 132 0 0 05 Mar 2025
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 90 0 0 21 Jun 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 82 9 0 26 Mar 2024
An FPGA Architecture for Online Learning using the Tsetlin Machine Samuel Prescott A. Wheeldon Rishad Shafik Tousif Rahman Alex Yakovlev Ole-Christoffer Granmo 8 1 0 01 Jun 2023
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 72 6 0 15 May 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 62 14 0 18 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 94 2 0 03 Jan 2023
Explaining medical AI performance disparities across sites with confounder Shapley value analysis Eric Wu K. Wu James Zou 48 8 0 12 Nov 2021
Person Perception Biases Exposed: Revisiting the First Impressions Dataset Julio C. S. Jacques Junior Àgata Lapedriza Cristina Palmero Xavier Baro Sergio Escalera 57 11 0 30 Nov 2020