Evidence for Hypodescent in Visual Semantic AI

Evidence for Hypodescent in Visual Semantic AI

22 May 2022

Papers citing "Evidence for Hypodescent in Visual Semantic AI"

9 / 9 papers shown

Title
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks Hoin Jung T. Jang Xiaoqian Wang VLM 21 2 0 10 Oct 2024
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale Federico Bianchi Pratyusha Kalluri Esin Durmus Faisal Ladhak Myra Cheng Debora Nozza Tatsunori Hashimoto Dan Jurafsky James Y. Zou Aylin Caliskan DiffM VLM 21 287 0 07 Nov 2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models Jin-Hwa Kim Yunji Kim Jiyoung Lee Kang Min Yoo Sang-Woo Lee EGVM 17 32 0 25 May 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 82 51 0 01 Oct 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu X. Wang FaML 147 95 0 12 Sep 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 897 0 28 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 204 607 0 03 Sep 2019