A Step Toward More Inclusive People Annotations for Fairness

A Step Toward More Inclusive People Annotations for Fairness

5 May 2021

Candice Schumann

Papers citing "A Step Toward More Inclusive People Annotations for Fairness"

9 / 9 papers shown

Title
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach Yiran Huang Stephan Alaniz Trevor Darrell Zeynep Akata VLM 42 2 0 25 Oct 2024
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images Hansa Srinivasan Candice Schumann Aradhana Sinha David Madras Gbolahan O. Olanubi Alex Beutel Susanna Ricco Jilin Chen 22 5 0 25 Jan 2024
Semantic and Expressive Variation in Image Captions Across Languages Andre Ye Sebastin Santy Jena D. Hwang Amy X. Zhang Ranjay Krishna VLM 48 3 0 22 Oct 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 19 17 0 12 Aug 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model Xi Chen Josip Djolonga Piotr Padlewski Basil Mustafa Soravit Changpinyo ... Mojtaba Seyedhosseini A. Angelova Xiaohua Zhai N. Houlsby Radu Soricut VLM 48 187 0 29 May 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 22 6,796 0 05 Apr 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 21 29 0 10 Mar 2023
Addressing Bias in Face Detectors using Decentralised Data collection with incentives M. Ahan Robin Lehmann R. Blythman FedML CVBM 10 0 0 28 Oct 2022
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018