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TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

3 December 2023

Papers citing "TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models"

27 / 27 papers shown

Title
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models Jordan Vice Naveed Akhtar Leonid Sigal Richard Hartley Ajmal Mian EGVM 132 0 0 21 Nov 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models Salma Abdel Magid Weiwei Pan Simon Warchol Grace Guo Junsik Kim Mahia Rahman Hanspeter Pfister 170 0 0 06 Oct 2024
'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion Sourojit Ghosh Aylin Caliskan 84 33 0 30 Oct 2023
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Jun Chen Deyao Zhu Xiaoqian Shen Xiang Li Zechun Liu Pengchuan Zhang Raghuraman Krishnamoorthi Vikas Chandra Yunyang Xiong Mohamed Elhoseiny MLLM 247 472 0 14 Oct 2023
Mitigating stereotypical biases in text to image generative systems Piero Esposito Parmida Atighehchian Anastasis Germanidis Deepti Ghadiyaram 78 17 0 10 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning Gaurav Bhatt Deepayan Das Leonid Sigal Vineeth N. Balasubramanian 69 4 0 30 Sep 2023
Fairness in AI Systems: Mitigating gender bias from language-vision models Lavisha Aggarwal Shruti Bhargava 60 5 0 03 May 2023
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness Anaelia Ovalle Arjun Subramonian Vagrant Gautam Gilbert Gee Kai-Wei Chang 64 41 0 16 Mar 2023
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions Deyao Zhu Jun Chen Kilichbek Haydarov Xiaoqian Shen Wenxuan Zhang Mohamed Elhoseiny MLLM 94 104 0 12 Mar 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 52 33 0 10 Mar 2023
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 Zou Aylin Caliskan DiffM VLM 122 317 0 07 Nov 2022
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 153 635 0 07 Oct 2022
Fair SA: Sensitivity Analysis for Fairness in Face Recognition Aparna R. Joshi Xavier Suau N. Sivakumar Luca Zappella N. Apostoloff CVBM 101 12 0 08 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 850 9,714 0 28 Jan 2022
Mitigating Language-Dependent Ethnic Bias in BERT Jaimeen Ahn Alice Oh 218 101 0 13 Sep 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 103 250 0 01 Jan 2021
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 118 161 0 27 May 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 73 314 0 02 May 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 112 260 0 09 Nov 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 98 570 0 26 Sep 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 116 453 0 18 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 79 129 0 14 Jun 2019
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 89 341 0 22 Feb 2018
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 158 1,526 1 19 Apr 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 228 1,588 0 20 Mar 2017
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 233 5,509 0 03 May 2015
Challenges of Big Data Analysis Jianqing Fan Fang Han Han Liu 140 1,287 0 07 Aug 2013