REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets

16 April 2020

Papers citing "REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets"

31 / 31 papers shown

Title
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 31 0 0 25 Mar 2025
A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety Rakeen Rouf Trupti Bavalatti Osama Ahmed Dhaval Potdar Faraz Jawed EGVM 58 1 0 23 Feb 2025
Position: AI Scaling: From Up to Down and Out Yunke Wang Yanxi Li Chang Xu HAI 76 1 0 02 Feb 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 29 3 0 29 Aug 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 32 26 0 13 Mar 2024
Describing Differences in Image Sets with Natural Language Lisa Dunlap Yuhui Zhang Xiaohan Wang Ruiqi Zhong Trevor Darrell Jacob Steinhardt Joseph E. Gonzalez Serena Yeung-Levy CoGe VLM 25 30 0 05 Dec 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models Laura Cabello Emanuele Bugliarello Stephanie Brandl Desmond Elliott 23 7 0 26 Oct 2023
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media J. Feldman 17 0 0 06 Jul 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias Noa Garcia Yusuke Hirota Yankun Wu Yuta Nakashima EGVM 25 51 0 06 Apr 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 19 29 0 10 Mar 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 17 181 0 20 Feb 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 16 4 0 31 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 17 269 0 09 Nov 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification Dora Zhao Jerone T. A. Andrews Alice Xiang FaML 28 20 0 21 Oct 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 12 1 0 26 Apr 2022
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives Anssi Männistö Mert Seker Alexandros Iosifidis Jenni Raitoharju VLM 16 5 0 05 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning Yusuke Hirota Yuta Nakashima Noa Garcia 14 49 0 29 Mar 2022
IMACS: Image Model Attribution Comparison Summaries E. Schoop Benjamin D. Wedin A. Kapishnikov Tolga Bolukbasi Michael Terry FAtt 14 1 0 26 Jan 2022
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 21 16 0 20 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 19 11 0 09 Sep 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 64 48 0 06 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 97 91 0 06 Aug 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas A. Langlois H. C. Zhao Erin Grant Ishita Dasgupta Thomas L. Griffiths Nori Jacoby 42 15 0 14 Jul 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 11 124 0 02 Mar 2021
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 17 156 0 28 Oct 2020
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather Marcel Sheeny Emanuele De Pellegrin S. Mukherjee Alireza Ahrabian Sen Wang Andrew M. Wallace 56 198 0 18 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Erez Aiden Lieberman Li Fei-Fei HAI 82 412 0 22 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016