Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias

27 October 2021

Papers citing "Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias"

6 / 6 papers shown

Title
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 36 0 0 29 Mar 2023
Information Removal at the bottleneck in Deep Neural Networks Enzo Tartaglione 46 2 0 30 Sep 2022
Quantifying Societal Bias Amplification in Image Captioning Yusuke Hirota Yuta Nakashima Noa Garcia 19 49 0 29 Mar 2022
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 99 93 0 06 Aug 2021
On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh Akshay Agarwal Maneet Singh Shruti Nagpal Mayank Vatsa CVBM AAML 44 65 0 07 Feb 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 230 31,253 0 16 Jan 2013