Melissa Hall
SOFTWARE ENGINEER | MENLO PARK, UNITED STATES
Melissa Hall is a software engineer working on fairness and responsible AI. Her work focuses on the development of methodologies, processes, and tools for ensuring that AI systems are fair and unbiased. She has a B.S. in electrical and computer engineering and a B.A. in liberal arts (Plan II) from the University of Texas.
Research Areas
Melissa's Publications
December 12, 2024
COMPUTER VISION
EvalGIM: A Library for Evaluating Generative Image Models
Melissa Hall, Oscar Mañas, Reyhane Askari, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero Soriano
December 12, 2024
June 14, 2024
COMPUTER VISION
Decomposed evaluations of geographic disparities in text-to-image models
Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero Soriano, Megan Richards, Polina Kirichenko, Melissa Hall
June 14, 2024
June 05, 2024
CORE MACHINE LEARNING
An Introduction to Vision-Language Modeling
Florian Bordes, Richard Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
June 05, 2024
August 31, 2023
COMPUTER VISION
FACET: Fairness in Computer Vision Evaluation Benchmark
Laura Gustafson, Chloe Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross
August 31, 2023
December 09, 2022
CONVERSATIONAL AI
NLP
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eleonora Presani, Adina Williams, Eric Michael Smith, Melanie Kambadur, Melissa Hall
December 09, 2022
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