Does Object Recognition Work for Everyone?

Does Object Recognition Work for Everyone?

6 June 2019

Terrance Devries

Laurens van der Maaten

Papers citing "Does Object Recognition Work for Everyone?"

11 / 161 papers shown

Title
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 25 186 0 16 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 24 107 0 09 Jan 2020
Deep Learning for Free-Hand Sketch: A Survey Peng Xu Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang Liang Wang 3DV 27 118 0 08 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy Kaiyu Yang Klint Qinami Li Fei-Fei Jia Deng Olga Russakovsky 21 316 0 16 Dec 2019
On Generalizing Detection Models for Unconstrained Environments Prajjwal Bhargava OOD 19 6 0 28 Sep 2019
What is the Point of Fairness? Disability, AI and The Complexity of Justice Cynthia L. Bennett O. Keyes 17 59 0 02 Aug 2019
Toward Fairness in AI for People with Disabilities: A Research Roadmap Anhong Guo Ece Kamar Jennifer Wortman Vaughan Hanna M. Wallach Meredith Ringel Morris 16 114 0 04 Jul 2019
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 189 1,639 0 11 Oct 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015