Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

19 March 2024

Papers citing "Discover and Mitigate Multiple Biased Subgroups in Image Classifiers"

7 / 7 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
Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images Boyang Deng Songyou Peng Kyle Genova Gordon Wetzstein Noah Snavely Leonidas J. Guibas Thomas Funkhouser HAI 50 0 0 11 Apr 2025
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages Ashmal Vayani Dinura Dissanayake Hasindri Watawana Noor Ahsan Nevasini Sasikumar ... Monojit Choudhury Ivan Laptev Mubarak Shah Salman Khan Fahad A Khan 124 8 0 25 Nov 2024
One Forward is Enough for Neural Network Training via Likelihood Ratio Method Jinyang Jiang Zeliang Zhang Chenliang Xu Zhaofei Yu Yijie Peng 16 11 0 15 May 2023
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 27 13 0 11 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 48 33 0 30 Sep 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 108 349 0 04 Oct 2021