Understanding Bias in Machine Learning

Understanding Bias in Machine Learning

2 September 2019

Jindong Gu

Papers citing "Understanding Bias in Machine Learning"

5 / 5 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 71 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 26 0 0 21 Jun 2024
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 26 13 0 18 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 29 2 0 03 Jan 2023
Person Perception Biases Exposed: Revisiting the First Impressions Dataset Julio C. S. Jacques Junior Àgata Lapedriza Cristina Palmero Xavier Baro Sergio Escalera 17 10 0 30 Nov 2020